Use Big data to build a dangerous goods logistics safety platform

The rapid development of hazardous material logistics objectively requires various management departments to establish a more comprehensive hazardous material safety management system at a faster pace.

Indeed, our government and relevant administrative departments have successively established a series of laws, regulations, rules and standards to regulate the operation of dangerous goods logistics, which has improved the Factor of safety of dangerous goods logistics to a certain extent. But in recent years, over a hundred safety accidents have occurred every year, with a much higher incidence rate than developed countries in Europe and America, prompting people to question the scientific nature of these laws, regulations, and standards. Among them, there are issues such as insufficient professional skills, poor infrastructure conditions, insufficient collaborative management due to excessive management departments, and poor regulatory capabilities due to low levels of informatization. However, the core is still a lack of overall planning and system construction.

One of the most serious issues in hazardous material logistics is the multi head management. The so-called closed-loop management mechanism formed by departments such as transportation, public security, quality inspection, safety supervision, industry and commerce, environmental protection, health, taxation, customs, etc., with separate management and overlapping functions, is prone to the possibility of crowding over profits and shirking management responsibilities in case of accidents. However, it is currently difficult to form a unified management system and can only rely on technical tools to achieve collaborative management.

Among them, Big data is one of the most convenient tools to improve collaborative management between departments. The so-called Big data refers to the data collection that involves a huge amount of data and cannot be obtained, stored, managed and analyzed through traditional database software. It has the characteristics of massive data scale, rapid data flow, diverse data types and low value density. The purpose of Big data is to carry out professional processing of these unstructured or semi-structured meaningful data distributed in various regions, industries and nodes, relying on Distributed database and Cloud storage of cloud computing, and to achieve in-depth data mining.

The Big data of dangerous goods logistics safety management is just in time. In China, 2015 is called the first year of Big data in the industry. According to the survey, China's Big data market has reached 11.59 billion yuan. In September 2015, the State Council issued the Action Plan for Promoting the Development of Big data, which clearly addressed the problems of insufficient openness and sharing of government data and the lack of innovative applications from the top-level design; The 13th Five Year Plan also clearly proposes to implement the national Big data strategy and form a cross sectoral data resource sharing and sharing pattern by the end of 2017.

In fact, the main goal of the hazardous material logistics management system is safety, followed by efficiency; The main concern of dangerous goods logistics operators is efficiency, while safety is the threshold for constraints. Therefore, the need to use Big data to achieve logistics safety management lies in the management departments at all levels, especially many departments have very large data in hand. For example, data such as transportation safety management and employee qualifications stored in the transportation department; The safety management of hazardous chemicals, purchase permits for highly toxic chemicals, road transportation passes, and road management of transportation vehicles stored in the public security department; The industrial product production license for hazardous chemicals and their packaging/containers stored in the quality inspection department, as well as the safety production license for hazardous chemicals stored in the safety supervision department, the safety condition review for storage hazardous chemical construction projects, and the safety use license for hazardous chemicals.

Through the Big data platform established by various regions and government departments at all levels, we can highly share and collaborate with the previously scattered storage of security management information data, eliminate any enterprises, facilities, equipment, employees and even the security management system that do not meet the conditions for safe storage and transportation of dangerous goods in real time from the source of management, and effectively avoid customer information data conflicts in multi head management, Let laws, regulations, and standards take root in enterprise management.

Of course, it is difficult to ensure the safety of the whole system simply by relying on the self-discipline of dangerous goods logistics operators. Big data can be used for in-depth data mining to realize enterprise level, regional level and national level safety risk identification, control and avoidance from the whole supply chain links such as procurement, production and manufacturing, packaging, sorting, storage, transportation and distribution of dangerous goods. Use Big data to establish a powerful hierarchical dangerous goods logistics safety monitoring center, implement strict whole process information management for the production, storage and transportation of all dangerous goods in real time, including RFID identification tags of goods and cargo containers, on-board mobile terminals, storage terminals, operator identification tags, etc., and establish an early warning and alarm system based on risk identification, This is beneficial for emergency response and rescue assistance in the event of dangerous goods logistics safety accidents.

Big data depends on databases scattered in regions, departments and enterprises, and also depends on the informatization level of regions, departments and enterprises. However, by taking advantage of the construction of national Big data, we can first build Big data platforms in regions and management departments with huge data sources; Secondly, the advantage of relatively high profits in hazardous material logistics enterprises can be utilized to vigorously promote enterprise level informatization and intelligence. Big data is not only used for the safety management of dangerous goods logistics, but also can be used as a sharp tool for logistics enterprises to make profits. On the basis of gradually scientific and reasonable classification standards for dangerous goods, the overall optimization of the whole supply chain logistics realized by Big data can be used to bring benefits and profits, so that enterprises are willing to build their own data platforms, so as to achieve the integration and sharing of Big data between dangerous goods logistics management departments and dangerous goods logistics operation enterprises.