A few days ago, the crime suspense film "manslaughter 3" jointly produced by Changying Group was officially released on December 31st. The film was written/supervised by Chen Sicheng, directed by Jacky Gan, starring Shawn, Tong Liya, Duan Long and Liu Yase, starring Wang Longzheng, Feng Bing, Chuchu Zhou and Yi-Fan Hsu, especially starring Gao Jie and Yin Ziwei, and featuring Zhang Rongrong and Lu Huimin in friendship. It tells a strong crime and high-intensity story of a desperate father and a playful kidnapper in the face of his daughter’s kidnapping. The confrontation between good and evil and the game between love and hate should not be missed.

The movie "manslaughter 3" announced the heavy return of the phenomenon-level crime suspense movie IP in China. As one of the soul figures in the Sheep Without A Shepherd series, Shawn, the leading actor, was deeply impressed by Li Weijie, who gave everything to defend his family in Sheep Without A Shepherd, and Lin Rilang, who was desperate to save his son in manslaughter 2, which caused countless audiences to empathize.

In "manslaughter 3", Shawn once again plays the desperate father, but it shows a fresher and more complicated character background, which is also a major attraction of the film. As early as the script creation stage, Shawn discussed with the screenwriter team how to make Zheng Bingrui different from the roles in the previous two films, such as Zheng Bingrui’s behavior and the use of religious colors.

Chen Sicheng, the screenwriter/producer, thinks that the role of Zheng Bingrui is very rich and can’t really reflect the distinction between good and bad. Director Jacky Gan described Zheng Bingrui as a "practitioner who is not good enough". The uncertainty and unknowns in him undoubtedly added more suspense to the truth of this crime mystery story, which will surely bring unexpected surprises and shocks to the audience.

Nissan Classic Edition is an excellent luxury car, which was born in
In the family. Nissan Sylphy Classic Edition has an atmospheric appearance and adopts
Technology, strong power, high fuel efficiency, outstanding performance in various performance indicators.

The interior of Nissan Sylphy Classic Edition adopts high-end leather materials and imported leather materials, and the decoration technology is also very elegant, and the interior is particularly elegant and elegant. In addition, it also adopts the humanized design concept, which not only introduces the customizable characteristics of the multi-function steering wheel, front seats and rear seats, but also specially treats the next door, so that the internal acoustic effect is greatly optimized.

In addition, the safety of Nissan Sylphy Classic Edition is also very convincing. From the chassis to the surrounding chivalrous instruments, the support technology is adopted and equipped with first-class safety early warning equipment such as LaneAssistLaneChangeAssistance, ForwardCollisionAvoidanceAssist, RearCrossTrafficAlert, AutoHighBeamAssist, etc. In addition, it also uses a 360 monitoring system to reflect the road conditions and respond in time.

Generally speaking, Nissan Sylphy Classic Edition is an outstanding four-door medium and large SUV, which is not only unique in appearance, but also very convincing in support. In terms of engine, Nissan Sylphy Classic Edition is equipped with a V-type engine, which makes it efficient and fuel-efficient when accelerating. The durability is also super-strong. Its high-end processing skills are all reflected in various treatments. In addition, Nissan Sylphy Classic Edition provides you with all kinds of safety equipment to ensure that you are respectful when you are driving. In short, Nissan Sylphy Classic Edition is an SUV that cannot be abandoned.

　　First, the background

　　Big data industry refers to related economic activities focusing on data production, collection, storage, processing, analysis and service, including data resource construction, development, sales and leasing of big data software and hardware products, and related information technology services. At present, smart medical care, smart cities, precision poverty alleviation and other related high-tech industries are all inseparable from the support of big data, and big data technology has been widely used in China.

　　(1) The state implements the big data strategy and builds a digital China.

　　Big data is considered as the "new oil of the future" and compared to the "diamond mine" in the 21st century, which plays an important role in social production, circulation, distribution, consumption activities and economic operation mechanism. In 2014, big data was first written into the government work report; In August 2015, the State Council promulgated the "Action Program for Promoting the Development of Big Data", and big data officially rose to the national development strategy. Subsequently, the state introduced a series of big data policies, covering multi-level downstream application markets such as ecological environment big data, agricultural big data, water conservancy big data, urban big data, medical big data, transportation and tourism service big data, and accelerating the implementation of the national big data strategy.

　　At the same time, with the introduction of the big data policy, local governments have successively set up big data management institutions to promote the development of the big data industry, and more than 200 cities and provinces across the country have successively set up big data management departments.

　　Figure 1 Number of big data management institutions in each province (unit: one)

　　　

　　(2) The big data industry is developing rapidly and the industry scale is huge.

　　In 2016, the Ministry of Industry and Information Technology issued the "Big Data Industry Development Plan (2016-2020)", and the national big data industry construction set off a boom. At present, eight big data comprehensive experimental zones have been formed and more than 100 big data industrial parks have been built. With the development strategies of new generation information technology, smart city and digital China, the digital transformation of social economy has been gradually promoted, the industrial support of big data has been strengthened, the application scope has been accelerated, and the industrial scale has achieved rapid growth.

　　The survey results of 1572 enterprises show that enterprises pay more attention to data analysis, 65.2% of them have set up data analysis departments, and 24.4% of them are planning to set up related data departments.

　　Nearly 40% of enterprises have applied big data. Among the enterprises surveyed, there are 623 enterprises that have applied big data, accounting for 39.6%, and the application of big data in vertical industries such as finance is increasing. In addition, 24.3% of enterprises indicated that they will apply big data in the coming year.

　　The investigation on the selection of data analysis methods shows that 40.3% enterprises take real-time processing of dynamic data and provide analysis results, accounting for the highest proportion; Secondly, it is to analyze historical data and make auxiliary decisions through machine learning, accounting for 32.3% and 25.5% respectively. In the near future, with the development and popularization of artificial intelligence technology, the proportion of enterprises that choose machine learning for decision-making is expected to further increase.

　　On May 6, 2019, China Information and Communication Research Institute released the White Paper on the Integration and Development of Big Data and Real Economy in China (2019), which integrated various factors such as the domestic and international environment and the development of emerging technologies, and estimated the growth rate of China’s big data industry in 2018 to be about 15%, with an output value of 540.5 billion yuan. According to CCID data, the scale of China’s big data industry in 2018 was 438.45 billion yuan, a year-on-year increase of 23.5%; By 2021, the scale of China’s big data industry will exceed 800 billion yuan.

　　Figure 2 Scale of China’s big data industry from 2016 to 2021 (unit: 100 million yuan)

　　　

　　From the perspective of corporate business layout, the big data industry is mainly concentrated in North China, East China and Central South China.

　　Table 1 Regional Distribution of China’s Big Data Industry in 2018

　　　

　　(C) The pace of data resources capitalization has steadily advanced.

　　In August 2015, the State Council issued the "Action Plan for Promoting the Development of Big Data", which clearly stated that "the open sharing of government data should be accelerated and the integration of resources should be promoted". Through the integration and utilization of data resources, all sectors of society have accelerated the process of data circulation sharing and data resource utilization. In October 2018, the Data Management Capability Maturity Assessment Model was released and implemented, which standardized the data management and application work of various organizations and institutions and improved the domestic data management and application capabilities. In October 2019, at the fourth plenary session of the 19th Central Committee in communist party, China, the Central Committee publicly pointed out for the first time that "the mechanism for labor, capital, land, knowledge, technology, management and data and other production factors to participate in distribution according to their contributions should be improved." This is the first time that the central government has publicly proposed that data can be used as a factor of production to participate in distribution according to contribution, which reflects that with the acceleration of digital transformation of economic activities, the multiplier effect of data on improving production efficiency is prominent and it has become an important change of the new factor of production with the most characteristics of the times.

　　(D) Technology convergence has become the mainstream of big data development.

　　At present, big data-related technologies have basically matured and gradually become a supporting infrastructure, and its development direction has also begun to shift to improving efficiency and focusing on personalized upper-level applications. With the implementation of 5G communication standards, the Internet of Things, mobile Internet, big data and traditional industries will be deeply integrated, and the trend of technology integration such as computing power, batch processing, TA, module, cloud number and digital intelligence will become more and more obvious. A large number of talents who know both big data technology and other related industries are playing more and more roles in the field of big data applications.

　　(E) Data security is widely concerned by the industry.

　　In recent years, security incidents have been exposed in the big data industry. On September 6, 2019, Hangzhou Magic Scorpion Data Technology Co., Ltd., a big data risk control platform located in Hangzhou, was under the control of the police, and the executives were taken away, and related services were temporarily paralyzed. On the same day, another senior executive of Xinyan Technology Artificial Intelligence Technology Co., Ltd., which provides big data risk control services, was taken away to assist in the investigation. The problem of big data security and compliance, especially the protection of personal information, has become a hot spot in the whole society and industry.

　　With the global tightening of data compliance policies, China’s data legal supervision has become increasingly strict and standardized. Since 2019, the legislative process of data security has been significantly accelerated. The Central Network Information Office has successively issued drafts for comments on four management measures on data security, including network security review, data security management, children’s personal information network protection and personal information exit security assessment. These data security laws and regulations in China focus on the protection of personal information, and the overall compliance of the big data industry will inevitably take this as the core.

　　Second, the definition of occupation and work tasks

　　In recent years, with the economic and social development, scientific and technological progress and industrial restructuring, new industries, new formats and new models have bred many new occupations. With the application of big data technology in all walks of life, our society needs more and more big data engineers and technicians. Its job definition and tasks are as follows:

　　Professional definition of big data engineers and technicians: engineers and technicians who engage in technical research such as big data collection, cleaning, analysis, governance and mining, and use, manage, maintain and serve them.

　　Main tasks of big data engineers and technicians:

　　1 research and development of big data collection, cleaning, storage and management, analysis and mining, presentation and application and other related technologies;

　　2. Research and apply the architecture, technology and standards of big data platform;

　　3. Design, develop, integrate and test big data software and hardware systems;

　　4. Big data collection, cleaning, modeling and analysis;

　　5. Manage, maintain and ensure the stable operation of big data systems;

　　6. Monitor, manage and guarantee the security of big data;

　　7. Provide technical consultation and technical services for big data.

　　Third, the analysis of the current employment population

　　This report is based on the analysis of the human resources of 27 typical enterprises in the big data industry in April 2019.

　　(1) Education level

　　The academic level of big data talents is divided into four categories, namely, master’s degree and above, undergraduate, junior college and junior college.

　　Figure 3 Academic Structure of Big Data Talents (Unit: Person)

　　　

　　It can be seen that undergraduate courses account for the highest proportion, followed by master’s degrees and above, and specialist courses account for only 12.22%. The big data industry is an emerging industry, and the current academic requirements are relatively high.

　　(2) Professional sources

　　Professional sources are divided into four categories, namely, mathematics and physics, economic management, computer and other majors. Computer science accounts for the highest proportion, followed by mathematics and physics. See the figure below for the number and proportion of professionals in the project team who investigate enterprise big data talents.

　　Figure 4 Professional Source of Big Data Talents (Unit: Person)

　　　

　　(3) Sources of channels

　　The channel sources of big data talents are divided into four categories, namely school recruitment, social recruitment, internal training and recommendation, and recruitment of training institutions. See the figure below for the number and proportion of corporate big data talents from all sources.

　　Figure 5 Source of Big Data Talent Channel (Unit: Person)

　　　

　　Among them, social recruitment accounts for the largest proportion, which is higher than the sum of school recruitment, internal training and internal promotion, and recruitment of training institutions. At present, big data talents mainly rely on social recruitment, indicating that school education is out of touch with social needs, and internal training and training can not meet job requirements.

　　(D) Distribution of salary level

　　At present, the salary of big data talents is at a relatively high level. The salary is below 10,000 yuan, accounting for 34.6% of the total number; 10,000-20,000 yuan accounted for 35.64%; More than 20,000 accounts for 29.77%.

　　Figure 6 Distribution of Big Data Talents’ Salary Level (Unit: Person)

　　　

　　(5) Type and quantity of posts

　　At present, the big data jobs provided by enterprises can be divided into the following categories according to the requirements of work content:

　　① Primary analysis, including business data analysts and business data analysts. ② Mining algorithms, including data mining engineers, machine learning engineers, deep learning engineers, algorithm engineer, AI engineers, data scientists, etc. ③ Development and operation classes, including big data development engineers, big data architecture engineers, big data operation and maintenance engineers, data visualization engineers, data acquisition engineers, database administrators, etc. ④ Product operation category, including data operation manager, data product manager, data project manager and big data sales. See the figure below for the number and proportion of the four types of jobs.

　　Figure 7 Structure of Big Data Position Types (Unit: Person)

　　　

　　Fourth, the industry demand for talents

　　(A) the overall demand

　　At present, informatization has a profound impact on human economic activities, and it is infiltrating into all aspects of production and life. Data has become a new factor of production. The big data industry has become an important mode for people to use information processing, information storage and information interaction resources on demand, and it is also an important platform for big data processing and deep mining. The role of big data engineers and technicians will become increasingly prominent in China at this stage and in the future.

　　Big Data Industry Development Plan (2016-2020)It is pointed out that the construction of big data talent team needs to be strengthened urgently, and there is a shortage of talents in basic research, product development and business application of big data, which is difficult to meet the development needs. It is necessary to build a multi-level talent team and establish a talent training and evaluation mechanism that meets the needs of big data development. Strengthen the training of big data talents, integrate the resources of universities, enterprises and society, promote the establishment of innovative talent training mode, and establish and improve a multi-level and multi-type big data talent training system.

　　According to Tianfu Big Data International Strategy and Technology Research Institute(referred to as "Tianfu Big Data Research Institute") According to the "2018 Global Big Data Development Analysis Report", in 2018, China’s big data industry talents accounted for 0.23% of the total employed population, about 1.794 million.

　　According to the Employment Trend Report of AI& Big Data Talents in China in 2019, the gap of big data talents in China is as high as 1.5 million in 2019. According to the statistics of the Data Analysis Committee of China Business Federation, the talent gap of basic data analysis in China will reach 14 million in the future.

　　Figure 8 Scale and growth rate of big data talents

　　　

　　With big data, Internet of Things,With the continuous development of the application of technologies such as 5G, the demand for employees in this profession is increasing. It is estimated that the demand for talents in China’s big data industry will reach 2.1 million in 2020, and the demand for big data talents will still maintain a growth rate of 30%-40% before 2025, with a total demand of about 20 million people.

　　(B) the impact of industry development on big data-related jobs

　　From the perspective of format change, enterprises need a large number of compound talents, that is, talents who can comprehensively master mathematics, statistics, data analysis, machine learning and natural language processing. From the perspective of technological changes, the development of emerging technologies such as deep neural networks has made up for the shortcomings of traditional analysis and mining technologies in the era of big data, which requires talents with big data skills to master the relevant knowledge of deep learning and adapt to the needs of big data analysis and mining. From the perspective of operation mode, the change of operation mode requires operators to improve their preparation before operation, grasp during operation, feedback and correction after operation, and improve their foresight and control ability.

　　At present, the positions related to big data talents at middle and higher vocational level are mainly: data analyst, mining engineer and deep learning./Algorithm/Machine Learning Engineer, Big Data Development Engineer, Big Data Architecture Engineer, Big Data Operation and Maintenance Engineer, Data Visualization Engineer, Data Acquisition Engineer, Database Administrator, Data Operation Manager, Data Product Manager, Data Project Manager and Big Data Sales Engineer.It can be seen that the development of the industry has triggered a technological revolution, and the corresponding posts and requirements have also changed.

　　(1) The technical level has gradually changed from "kaleidoscope" to "China characteristics" and "Made in China". China standard has gradually become the industry standard, and China certificate has gradually become the industry certificate.

　　(2) The in-depth development and horizontal expansion of technology have triggered changes in the demand for talents in enterprises, including the demand for high-tech professionals with re-division of positions and the demand for broad and compound talents at the middle level.

　　(3) Job responsibilities and skill requirements

　　According to the survey, the responsibilities of related positions of big data engineers and technicians and the vocational skills requirements for talents with college education or above are as follows.

　　

　　Table 2 Responsibilities and Job Skills Requirements of Big Data Related Jobs

　　

　　V. Career development channels

　　At present, people who have been engaged in database management, mining and programming for a long time, including engineers in traditional quantitative analysts and managers who need to make judgments and decisions through data, can become big data engineers and technicians through certain training or self-study.

　　Due to the small number of big data talents in China, the data departments of most companies adopt a flat hierarchical model, which is generally divided into data analysts, senior researchers and department directors.Three levels. Larger companies may divide different teams according to the dimensions of application fields, while smaller companies need to hold several positions. Big data engineers and technicians can develop in the research direction and become important data strategic talents of enterprises. In addition, big data engineers and technicians have a deeper understanding of business and products than employees in business departments, and can also turn to product department or marketing department, and even senior management.

　　VI. Expert Views

　　Dean of Liangshan Transformation Digital Research Institute and Executive Dean of Hangzhou Digital DreamWorks Research Institute.NiancanhuaData is the most important factor of production in this era. The capitalization, value and service of government, city and industry data resources are the general trend, and the digital transformation of all walks of life is imminent. Training big data engineers and technicians is very sufficient and necessary for implementing the national big data strategy, building a digital China, developing a digital economy, and meeting the massive talent demand of governments at all levels and all walks of life.

　　Director, Information and Software Services Department, Ministry of Industry and Information TechnologyXie shaofengBig data has opened a new stage of information development, and data has become a key production factor. "Software definition and data drive" play an important supporting role in promoting the transformation and upgrading of manufacturing industry. As the competent department of the industry, the Ministry of Industry and Information Technology has launched a series of measures to promote the development of the big data industry. The next step will be to solidly promote the implementation of the big data strategy, vigorously promote the integration of big data and the real economy, and create new advantages in the international competition of manufacturing industry in the digital economy era.

　　Academician of China Academy of Engineering and researcher of Institute of Computing, China Academy of Sciences.Ni GuangnanTaking big data as productivity may be better and more comprehensive than taking big data as a kind of wealth. Big data productivity will promote the development of production relations, promote the development of society, create endless wealth, and even cause great changes in the development of our thinking in the future.

　　Academician of China Academy of SciencesAlax ChenIn the era of computing information, the three landmark technologies are digital computers, integrated circuits and optical fiber communication, and the three highlights of the new generation of information technology are the Internet of Things, cloud computing and big data. Now the trend of big data is vast, and the era of big data has arrived. We must follow the trend of the times, constantly learn new knowledge, keep pace with the times and keep up with the pace of the times! The computer industry will always be the world of young people. For the younger generation, big data is both a challenge and an opportunity, and the infinite scenery is at a dangerous peak!

　　The main founder of Alibaba Group and the former chairman of the board of directorsJack MaThe emergence of the era of big data has brought mankind into the era of the Internet of Everything, and the ability to reprocess data has far surpassed that of the past, and the understanding of the world will be raised to a new height. Big data has made it possible to predict and plan.

　　Seven, typical cases

　　(1) Shao Tianfu: Join in the application of big data and create a wonderful life.

　　With the government, enterprises and other social organizations more and more closely integrated with the Internet, the self-owned big data computer room can no longer meet the needs of development, and despite the influx of a large number of data companies, it still cannot meet the rapid growth of market demand. Shao Tianfu is keenly aware that the spring of big data is coming.

　　　

　　After graduating from Guangdong University of Technology, majoring in mechatronics, Shao Tianfu plunged into the "blue ocean" of big data management. With his selfless, rigorous and meticulous work spirit and continuous practical exploration, after more than 10 years of hard work, he is now a comprehensive and experienced big data engineer and technician, and has grown into the technical backbone of a data center of a data service company.

　　(2) Liu Yan:The vanguard of big data applications

　　Liu Yan, a graduate student, devoted himself to the big family of a public security bureau in Tianjin with infinite love for public security work. After the police, Liu Yan deeply realized the far-reaching influence of big data and scientific and technological information on public security work, and based on his post, he worked hard on innovation and consciously improved his ability to apply big data and information technology. Self-taught theoretical knowledge such as JAVA language, Android programming, database construction, etc., and applied the theoretical knowledge to practice, independently developed the "Eagle Eye" mobile phone APP system, made full use of Internet information resources, and combined with some business data, created a personalized business platform for all employees to share and communicate, which was convenient for the police who went out to handle cases to consult at any time. The graphic data module is added to the APP, which makes it really an important tool for graphic investigation and provides technical support for case detection. As a scientific research innovator, Liu Yan was selected as a member of the "Public Security Think Tank Team", "Informatization" talent pool and "Big Data Analysis and Mining Application" talent pool in this city.

　　　

　　(3) Song Zhenglong: I love my job and devote myself to innovative research and development of railway big data.

　　Song Zhenglong, graduated from Dalian Railway Institute majoring in computer science, is now the network technical director of a train depot, mainly responsible for the management, maintenance, application and software development of information equipment in the train depot.

　　　

　　In the past 30 years, he started as an ordinary technician and gradually grew into an expert in network data development. He successively developed the software of "marshalling sequence table" and "freight ticketing program" suitable for stations, which greatly improved the work efficiency and the accuracy of statistical work.

　　In 2014, the unit where he worked put forward the idea of creating a digital management platform and implementing full coverage closed-loop management. Song Zhenglong was appointed to undertake the task of project planning, research and development and construction. In order to design and make a good information management platform, he organized research and development during the day and worked hard to build models at night, and led the development team to independently develop management platforms, early warning and prevention platforms, operation control platforms and electronic tables and books platforms. Finally, the deep integration of civil air defense, physical defense and technical defense was realized, the innovation of enterprise management was promoted, and the innovation and upgrading from "digital car connection" to "intelligent car connection" was accelerated, which was highly recognized by the leaders and brother units of the group company.

　　(D) Jing Qi: an expert who is committed to promoting the informationization of public security science and technology.

　　　

　　Jing Qi is high flyers from the Computer Science Department of Jilin University. After taking part in public security work, she devoted herself to promoting the information construction of public security science and technology. In 2009, Jing Qi was evaluated as a high-level professional and technical talent in Shenzhen, and was transferred to the provincial public security department and the municipal public security bureau for many times to participate in the research and development and construction of public security application systems.

　　In order to solve the problems that the information of various business systems at the grass-roots level of public security is not interoperable and repeatedly entered, Jing Qi was appointed as the deputy head of the information collection team of the unit. After repeated discussions with the members, he finally established the general idea of opening up, merging and streamlining various line systems with the transformation of the police integrated information system as the core and the law enforcement case handling process as the main line. In order to complete the task well, Jing Qishe takes care of everyone, and she can always be seen in the front line of research, meeting, communication and coordination. In the end, the team led by Jing Qi realized the goal of "one input and sharing by the whole police", which effectively improved the efficiency of public security work.

　　When a police station reported that the auction of the items involved was time-consuming and a waste of police force, Jing Qi immediately led the team to discuss the solution overnight. After more than a dozen consultations with the person in charge of the price center, the price identification system was finally docked with the police comprehensive system. Now, the police handling the case can stay at home, just initiate an application through the police comprehensive system and submit the necessary information, and the price determination center can directly feed back the determination results through the system. This work alone can reduce the workload of Shenzhen Police Force by more than 10,000 days every year.

Recently, a GLS SUV in Maibakh, which protects the rights of a car with a canopy, has caused a heated discussion on the Internet. The operation of the owner of the three-color awning on the roof has also aroused the imitation of netizens, and even some merchants have followed the hot spots and launched clothes made of three-color ponchos.

According to the e-commerce platform, the prices of these specially customized garments range from 16.98 yuan to 89 yuan, and some links show that the sales of goods exceed 1,000 pieces. Merchants said that the clothing is indeed made of three-color ponchos, aiming at providing creativity; Some merchants directly indicated that it was the same model in Maibakh, and clothes were in short supply.

Up to now, more than 20,000 pieces of these garments have been sold, and the remaining inventory is only over 2,000 pieces. In addition, the event of protecting the rights of the roof awning in Maibakh also triggered the phenomenon of "car-to-car", and there were many scenes of three-color awnings on the top of Mercedes-Benz cars with engineering tape attached. Car owners covered the roof with a three-color tarpaulin, and pasted yellow and black engineering tapes at the edges. The models involved include Mercedes-Benz S-Class, Mercedes-Benz AMG sports car and Mercedes-Benz G, etc.

For Maibakh brand, this rights protection incident may cause serious brand reputation loss, because no Maibakh car owner wants his car to be labeled as "tricolor tarpaulin".

Introduction to Laojunshan Tourism

Laojun Mountain is located 3 kilometers east of Luanchuan County, with an altitude of 2,192 meters. It is one of the three main peaks of Funiu Mountain, also known as Jingshi Mountain. According to legend, Laozi, the founder of Taoism, once practiced in seclusion in this mountain, hence the name Laojun Mountain. Laojunmiao was built in the Northern Wei Dynasty, with iron rafters … [Details]

Laojunshan travel

Tickets for Laojunshan

40 yuan [Details]

Laojunshan communications

Laojun Mountain is 148 kilometers away from Luoyang Airport, close to Luoluan Expressway, and a three-grade cement road is laid in the scenic area. [Details]

More hotels recommended by Laojunshan

View the recommended hotels in Laojun Mountain and the surrounding scenic spots map.

Luanchuan Yishuiwan Hotel

Yishui Road, Luanchuan County, Luoyang City, Henan Province

Surrounding attractions: Jiguan Cave in Laojun Mountain

4.1 kilometers from Laojun Mountain

Book from 520 yuan

Luanchuan future holiday inn

No.68 Xinghua East Road, Luanchuan County, Luoyang

Surrounding attractions: Jiguan Cave in Laojun Mountain

4.5 kilometers from Laojun Mountain

Booking starts from 138 yuan

More group buying hotels around Laojunshan

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　　Recently, when I came home from work, I often saw several boys in the corridor of the community in a circle, kneeling on the ground and patting cards made of discarded cigarette cases with great interest. My nephew, who is attending primary school, told me that many children in the school are obsessed with playing with this kind of cigarette card.
　　The "cigarette card" game is now popular among primary and secondary school students in many places. The children put the cigarette cards on the ground and take turns patting them. Whoever can flip each other’s cigarette cards will win the cigarette cards. They also classify cigarette cards into different grades according to the price of cigarettes. Some children already know the "grade" and price of cigarettes. In order to collect different brands of cigarette cases, they will ask smokers, ask parents to buy them or buy them themselves, and even rummage through the trash can.
　　Tobacco harm is one of the most serious public health problems in the world today, and the popularity of "cigarette card" games has attracted the attention of many educational departments and society. On April 7th, the Education Bureau of Sanya City, Hainan Province issued "Important Tips for Preventing Students from Addicting to" Cigarette Card "Games", clarifying that cigarette cards come from discarded cigarette cases, and collecting them around and carrying them with you may endanger students’ physical and mental health. Students addicted to games may enlighten their gambling consciousness and have curiosity and interest in smoking. Pingliang Railway Middle School in Gansu Province also issued a warning that the game led students to bring cigarettes into campus, try to smoke cigarettes and buy and sell cigarette boxes, calling on students to stay away from tobacco poisoning.
　　Card games themselves can promote children’s social interaction and reduce the time spent playing electronic products. Simply banning them is not the best policy. Schools and parents should guide children to establish a correct concept of games and replace cigarette cards with other paper cards in time, so that children can enjoy the fun of games and stay away from the temptation of tobacco.

Written by Wu Shuaili

Yesterday, Alipay announced that due to the rising comprehensive operating costs,Starting from October 12 this year, a 0.1% service fee will be charged for individual users who exceed the free withdrawal quota, and each individual user will enjoy a basic free withdrawal quota of 20,000 yuan.. This is the second time that another third-party payment giant began to implement the charging policy after WeChat announced the collection of withdrawal fees in March this year.

△ Alipay official Weibo screenshot

On the other hand, banks that were previously paid by third parties to share cakes are playing free cards in groups.

In February of this year,Industrial and Commercial Bank, Agricultural Bank, China Bank, China Construction Bank and Bank of Communications.Five state-owned commercial banks have decided to gradually exempt customers from handling fees for transfer and remittance services through mobile banking, whether it is inter-bank or off-site.

In July this year, 12 joint-stock commercial banks across the country announced the establishment of the "Commercial Bank Network Finance Alliance": they decided to waive the handling fee for inter-bank transfers through electronic channels such as mobile banking and personal online banking.

Internet finance is threatening to force bank reform.

There is no charge for bank transfer. Why should Alipay and WeChat go in the opposite direction?

Just half a year ago, Alipay also vowed to publicly promise "no charge for cash withdrawal", and once told the public with obvious advertising style that every transaction to users in the past 11 years was free. Indeed, the fierce internet finance in recent years has partially changed the ecology of the financial sector, forcing the five major banks to put down their airs and jointly announce the free transfer of mobile banking.

"Playing the market for free and charging back the cost" has become the business logic of many Internet companies.　

Alipay claims to charge for "cost" reasons. It is the consistent behavior of Internet companies to burn money in the early stage, make money at a loss and quickly accumulate popularity. It is through this model that Ant Financial, which owns Alipay, has gained 400 million users and a valuation of up to 60 billion US dollars, becoming the largest "unicorn" in the field of financial technology.

Judging from the data in the first quarter of this year, at present, in the field of mobile payment, WeChat and Alipay occupy nearly 90% of the market share and are in an absolute monopoly position.

However, unicorns also have to eat. With the expansion of scale, the pressure on enterprises to burn money will be greater. It is also a natural business logic to cut subsidies under the pressure of increasing profits and then turn to fees to recover costs. A few months ago, it was the product of this logic that Didi raised the taxi price immediately after buying Uber.Now Alipay turns to charge the same thing. After all, wool can only grow on sheep.

The charging decision may damage Alipay’s credit.

It is a natural but bold move to "cut wool" for users. After all, the competition of instrumental payment channels is very fierce, and it is not easy to keep users loyal through stickiness. Once the user experience declines, the consequences of user loss will occur. Therefore, Alipay has carefully set its own charging standards by comparing the charging methods of competitors’ WeChat wallets.

Compared with the uproar caused by WeChat charging half a year ago, users’ reaction to Alipay charging is lighter. With the demonstration effect of the former, people have subconsciously judged that Alipay will not provide "free lunch" for too long. Although Alipay has also said that it will insist on no charge, it is more like a public relations propaganda strategy. The default mode in the minds of users who have been washed away by the Internet tide for more than ten years is to strictly separate "listening to what they say" from "observing what they do". 　 　

Facts have proved that as a commercial product, chasing profits is an instinctive reaction of products, and "observing what they do" is always more reliable than "listening to what they say", and Alipay’s charges have once again confirmed this point — — After all, there is no obvious indication that its "comprehensive operating cost" has really risen sharply in the past six months.

Therefore, although business logic is understandable,However, the decision to charge may still damage Alipay’s credit unless it can provide a better customer experience. Otherwise, this kind of action that is contrary to the promise of "no charge" more than half a year ago is either a kind of "forgetfulness" with malice to users or the arrogance peculiar to market leaders.

With the rapid development of Internet, the market is full of unknowns.

Free is a magic weapon for Internet companies to compete, but if they want to be strong, they must find a long-term profit model, and "burning money" cannot create value for society. With the profit model, it is possible to provide users with sustained and good services. The two companies have successively charged for cash withdrawal, which means that mobile payment is initially mature, but how will the market develop in the future, and will there be alternative products? Or with the development of technology, the new payment mode will replace WeChat payment and Alipay.

To be clear, payment accounts are different from bank accounts. The Administrative Measures for Online Payment Services of Non-bank Payment Institutions promulgated last year emphasized that payment institutions should follow the purpose of developing e-commerce and providing small, fast and convenient micro-payment services for the society, which means that third-party payment is still a supplement to the payment market.

Wen Yi CCTV Review Special Contributor Wang Yahong

　

　

　　Qianlong Net Beijing News (Reporter Chen Li) On September 9, "Refuse drunk driving and go home happily" — — In 2016, the "9.9 No Drunk Driving Day" charity event was officially opened in Beijing. Huang Xiaoming, who has always been keen on public welfare, was not only awarded the "Public Ambassador for Refusing Drunk Driving" on the spot, but also personally drove for fans.

　　This year is the second "9.9 No Drunk Driving Day", which has been comprehensively upgraded in the action of refusing drunk driving. Among them, the most important measure is to hire Huang Xiaoming as the "ambassador for refusing drunk driving" to mobilize more forces to join the anti-drunk driving action through the appeal of stars.

　　Regarding the identity of "Public Ambassador for Refusing Drunk Driving", Huang Xiaoming said: "I am very grateful to the organizers for awarding me this honor. For me, it is a great encouragement. I hope that in the future, with all of you here, we will gather all forces and jointly practice the refusal of drunk driving public welfare activities. "

　　In addition, in addition to helping out on the spot as a charity ambassador to refuse drunk driving, Huang Xiaoming will also personally drive for fans as an e-driver on the day of "9.9 Refuse to Drink Driving Day", advocating that everyone use driving to refuse drunk driving. Huang Xiaoming not only repeatedly appealed to the public not to drink and drive, but also expressed his understanding and gratitude to the traffic police. He said that he liked uniforms since he was a child. If he is not an actor, he should be a policeman or a traffic policeman. He also said that he once played a traffic policeman in the public welfare film Looking for Dust, and learned about the hard work of this job. "It is not easy to stand in the sun and rain for a long time every day, and it is also very difficult to earnestly educate pedestrians. I hope everyone can abide by traffic laws and understand their work."

　　It is reported that, as a representative of the star’s positive energy, Huang Xiaoming fully supported the first "National Day of Refusing Drunk Driving" public welfare action last year, and recorded a public welfare video with Song Dandan, another image spokesperson of E-driver, advocating that everyone jointly refuse drunk driving, thus contributing to the "National Day of Refusing Drunk Driving".

　　After the press conference, Huang Xiaoming also expressed his hope to shout to more people through the media: "As an ordinary member of hundreds of millions of families, as a driver, as a public figure, as a spokesperson for e-driving, as a national ambassador for refusing drunk driving, here, I send an initiative to every citizen: refuse drunk driving, start from me, develop civilized travel habits, reduce or even eliminate the occurrence of drunk driving tragedies, and care for our common happy home."

On the 5th, after the latest issue of "Ace to Ace" was broadcast, netizens saw many changes. The previous flowers were cute, cute and slow-witted. He felt natural. Netizens couldn’t see Shen Teng Ling Chia bullying him. Every time the audience supported Hua Chenyu and protected him with shouts, just like their hometown.

After the latest broadcast, Hua Chenyu’s temperament has changed a lot, and so has his profile. Now Hua Chenyu is a single father, and he and Diamond have a daughter. This news has changed Hua Chenyu, and the attitude of netizens has changed somewhat.

Whether it is a good influence or a bad influence, Hua Chenyu can’t restore his lonely genius. According to Zhang Yimou, the second sister, Diamond’s departure from that time was a great blow to Hua Chenyu. He suffered from depression and did something that hurt himself. In addition, I made a song about loving the world. The name sounds positive, but the lyrics are full of sadness. Some of them want to leave, which scares fans of family and friends.

This song proves from the front that Hua Chenyu really suffered from depression. In that dark time, no one knew what he had done to hurt himself. Hua Chenyu made a variety show of ace to ace, and everything can be seen from the state of his face.

In the past, Hua Chenyu was very handsome. After losing weight, the whole person was an animated teenager. His face was small and pointed, and his eyes were clean and clear. His five senses were like the cartoonist’s own paintings, and he was the protagonist from the animation. Seeing him now, the photographer deliberately put the camera close to Hua Chenyu’s face.

Under the same filter, chubby Jia Ling looks cute and young. Her skin condition is as delicate as that of 22-year-old Guan Xiaotong. Her face is rich in collagen, and her skin is as rosy as a peeled egg. Jia Ling, 30, and Guan Xiaotong are not compared when they stand together.

When the camera moved to Hua Chenyu, his skin condition was particularly poor, and his eyes were single and swollen. This was not his previous eye shape. With a smile, the collagen on his face was obviously lost, and the decree lines on both sides of his nose were deeper than the ditch. Standing on 42-year-old Zhang Ziyi, he was nothing like a young man.

Netizens saw that Hua Chenyu’s skin condition was very poor these days. Every time he smiled, his face was heavily textured and his eyes were swollen. I don’t know what he went through, and he didn’t look like a 30-year-old.

I hope Hua Chenyu can adjust his state well. Now he is not a person, but a famous father. I hope he can continue to sing good songs and become a talented singer.

Editor in charge:

The overall design of Rui Hybrid continues the design of the fuel version, but the details have been adjusted. For example, the new car is equipped with the exclusive blue logo "H", and the fender and the rear of the car have added the unique "hybrid" logo of the hybrid model. It is also worth mentioning that the headlights of the new car adopt ahb’s keen light-sensitive high beam system.

The interior of the new car continues the design of the current fuel vehicle, adopts self-luminous instrument panel, and can change color according to the setting of driving mode. The central control 8.0-inch LCD integrates honda connect intelligent guidance interconnection system, which can realize the interconnection of carplay and carlife mobile phones.

Lingpai has a car length of 4766mm, a car body width of 1804mm and a wheelbase of 2730mm, which is quite satisfactory. In the same class, the wheelbase of Lingpai ranks 13th. One bright spot is that its width reaches 1804mm, which reflects that the horizontal space inside the car is not bad. The skylight of Lingpai e:HEV 1.5L E-CVT Sharp Ultimate Edition provides a wider field of vision, which can create a better visual environment and good sensitivity for the rear passengers and increase the light entrance for the whole vehicle. Among the models of the same price and class, Lingpai’s trunk volume ranks third. The space is relatively regular, without obvious protrusions, and the overall loading capacity is good.

Lingpai is equipped with a 1.5 engine with a maximum output of 80kW and a maximum torque of 134Nm. The whole power parameters are superior in power performance among engines of the same class, which can provide better power performance. Ranked 21st among 80,000-120,000 compact car models.

Lingpai’s active/passive safety configuration is complete, includingAutomatic parking、Zero tire pressure endurance tire、Automatic parking、Steep slope descent、hill start assist control、knee airbag、HUD head-up display、Anti-lock braking (ABS)、Braking force distribution (EBD/CBC, etc.)、Brake assist (EBA/BAS, etc.)、Traction control (ASR/TCS, etc.)、Active noise reduction、Engine start and stop、Side safety air curtain、Wireless charging of mobile phone、night vision system、LED daytime running lights、Forward reversing radar、Tire pressure monitoring、Steering wheel heating、Body stability control (ESP/DSC, etc.)、Rear reversing radar、Fatigue reminder、Remote parking、Child seat interface、Lane keeping (LKAS)Equal configuration.

Among them,Automatic parkingYou can avoid stepping on the brakes for a long time or needing to pull frequently;Steep slope descentCan safely pass through steep slope road conditions at low speed;knee airbagReduce the injury of the car interior to the occupant’s knees in the secondary collision.

In addition to the above description, we can also go to the Easy Car Forum to browse more real car feedback from actual buyers, or use our experience.