How big Data becomes a "sharp weapon" in safe production

On the one hand, it accelerates the information transmission speed of safety production accident, which leads to the unprecedented upsurge of safety production, on the other hand, it brings "sharp weapon" to solve the problem of safety production. At present, the big data is penetrating to more and more fields with astonishing speed, the successful case of application big data such as electric business, retailer, it enterprise is not uncommon. Large data in the application of safe production, the most basic function is to look for the accident occurrence law from the massive production safety data, predicts the future, thus the right remedy, the effective containment accident occurrence. At the same time, large data can also play an important role in enhancing security regulatory capabilities and defining security responsibilities.

Large data is of great significance to safe production

The use of large data in safe production can enhance the ability of source management and reduce the occurrence of accidents.

Large data application can timely and accurately detect the hidden trouble, improve the ability to troubleshoot. At present, the safety of the enterprise safety work is mainly based on human resources, through the expertise of people to find the production of hidden dangers. This method is susceptible to subjective factors, and it is difficult to define safe and dangerous state and poor reliability. By applying massive database and establishing large computer data model, we can analyze and compare multiple parameters in production process, so as to effectively define whether the state of things poses a safety hazard. The U.S. Mine disaster recovery responsibility is the big data in the Safe Production field application successful case. 2010 American netizens in the process of online accountability, through the Macy's another coal mine in the safety supervision, investigation and other data analysis, found that the mine is also in jeopardy, at any time "detonated" the possibility.

Large data application can reveal the law of accident and provide theoretical support for safety decision. At present, in the management of safety production, due to lack of effective analytical tools, lack of understanding of the law of accidents, leading to the production of safety in our country mainly to take the "ex post facto" approach, lack of prior prevention, in the accident after the analysis of the cause of the accident, investigate the responsibility for the This way has a great limitation, can not achieve from the source of the purpose of preventing accidents. The development of large data provides an effective tool for the analysis of massive accident data. 1931, American security engineer Heinrich by analyzing the probability of 550,000 accidents, the famous Heinrich "accident Pyramid" theory is proposed, which demonstrates the important role of strengthening daily safety management and detail management to eliminate unsafe behavior and unsafe state. Applying the principle of large data to safety production, through analyzing the mass production safety accident data, analyzing and finding the regularity and characteristics of the seasonal, periodicity and correlation of accidents, to find out the cause of the accident, to formulate the prevention plan, to improve the management ability of the source and to reduce the occurrence of safety production accidents.

Large data application can improve the responsibility system of safety production accident. From a large number of accident investigation and treatment, we can see that there are still many imperfections in the system of the duty of safety in our country, such as the difficulty of obtaining evidence, the difficulty in collecting accidents, and the difficulty in identifying responsibility. The mining disaster liability system under the big data of America has given a good revelation. In 2010, the West Virginia State of the United States killed 29 people in the mine accident, because the mining supervision records are kept intact, each record includes the time of the inspection, the result, the violation of the legal provisions, the treatment of the views, the amount of fines, the amount of money paid, coal mines are complaints, etc. More than thousands of regulatory records provide important evidence for the incident, and the final incident found that the coal Mine Safety and Health Bureau has no oversight negligence, the accident coal mine company should bear the main responsibility. It can be seen that perfect supervision and law enforcement database is very important to perfect the system of safety production accident.

The lack of high-performance large data analysis tools is a common problem in the application of large data in various fields.

Basic data preparation is not sufficient, database construction needs to be improved. First, although our country has the responsibility of security supervision departments have built a database of safety production, but due to its data collection, data collation and other capabilities, resulting in database integrity, normative aspects of the existence of a great defect. Second, at present, China's construction, transportation, railways, the responsibility of safety supervision in civil aviation, civil explosion and communication industry in the Industry management department, Petrochemical, Chemical, metallurgy and other industries, safety supervision responsibility in the Supervision Department, the accident Information and regulatory information established by various departments have not formed a unified standard, which has caused great limitation for data convergence. Third, the role of the information management Department in the coordination of database construction and application, as well as the promotion of advanced information technology and the allocation of information resources has not been fully played.

Lack of data analysis tools, information disclosure dynamics is not enough. First, the large data is the product of the information age, although in recent years our country in the two integration to promote safe production, safety production and other aspects of the information has done a lot of work, but also made great progress, but generally speaking, the level of production safety in China is still low, more collection and less application, has hindered the application of large data. Second, the lack of high-performance large data analysis tools, which are widely used in various areas of large data problems, without high-performance analysis tools, the value of large data will not be released. Thirdly, since the promulgation and implementation of the "Government Information Disclosure Regulations", the information disclosure of safety production has made a great breakthrough, but compared to the United States, Japan and other countries, our country's safety production of information disclosure is not enough, especially in the public aspects of Safety supervision information.

Talent preparation is not sufficient, professional talent is insufficient. Big Data is a new technology, and the technical content is high, the big data construction each link needs to rely on the professional to complete, its key link data analysis is based on the prediction modelling or the future trend analysis, the traditional data analyst does not have the development Prediction Analysis application Model The skill, the safety production field corresponding talented person is very few.

Safety production should be prepared to meet large data

To strengthen the existing foundation, especially the accident information and safety supervision information disclosure.

One is to improve the database, do a good job of database convergence. Safety, industry, construction, transportation, civil aviation and other departments with safety supervision and responsibility should do well in the collection, collation and storage of related data of safety production, establish and perfect related database of safety production, including accident database, supervision information database, etc. All departments should unify the construction standards of safety related database, accident database, supervision information database and so on. The informatization competent department completes the related coordination and the safeguard work, sets up the interdepartmental coordination mechanism, guarantees the safe production related data effective application.

The second is to strengthen the information construction of safety production and do well the public work. Further deepen the integration of the two to promote safe production, production safety, information, etc., in the development of things such as special funds to increase the support for safe production; to strengthen the development and utilization of massive data analysis tools, and to promote the realization of large data value as soon as possible; On the basis of existing information openness Especially the disclosure of accident information and safety supervision information, and guarantee the authenticity and reliability of information.

The third is to promote the large data application process with talents. Set up the teaching discipline, establish the big data related talent training plan, strengthen with the United States, Japan and other developed countries to exchange talent, establish the talent cooperation mechanism, establish the talent introduction mechanism, the introduction of foreign high-end talent.

(Responsible editor: The good of the Legacy)