"The source can be checked, the direction can be traced, the responsibility can be corrected, and the law can be followed."
——Sun Zhanhui, Associate Researcher, Institute of Public Safety, Tsinghua University
Based on big data-based early warning technology for hazardous chemicals control, Sun Zhanhui introduced the use of network communication, sensor monitoring and Internet of Things and other technical means to build an online monitoring system for hazardous chemicals, and to generate dynamic information and real-time status information through safe production of hazardous chemicals. Visualization and graphical display analysis of the dynamic information of the transportation process to achieve dynamic supervision of the life cycle of each hazardous chemical product.
In response to the prediction and early warning application of social public big data in the hazardous industry, Sun Zhanhui introduced, summarizing the mass public information such as text, audio, video and pictures of the public, applying the infrastructure, through distributed computing of different types of data, fuzzy clustering and correlation. Sexual analysis and other technologies to obtain safe and effective data on hazardous chemicals, and use social public information to achieve a useful supplement to the safety supervision of hazardous chemicals.
Sun Zhanhui suggested that data standards should be established to establish big data standard specifications for hazardous chemicals industry and support the collection, storage and sharing of big data. The specification of large data processing procedures for the safe production of hazardous chemicals, establish a standard of life-cycle dynamic supervision data processing procedures for hazardous chemicals, and support the rapid processing and display of big data. Social governance is supplemented by government-led, corporate linkages and social participation.
“The coal mine safety goal is intrinsic safety. Mine production, safety, operation, management and other services need interconnection, IOT perception, and information fusion and sharing.â€
——Li Hongchen, deputy chief engineer of the Communication Information Center of the State Administration of Safety Supervision
At present, coal mines have built safety systems. Why can't they completely stop the accident? Solve the problem of the safety system, can you guarantee the safety of the mine?
In response to the problem, Li Hongchen believes that the cause of the accident involves the system installation does not meet the requirements, the system is not used properly, the system maintenance management is not in place, the system reliability is not high, the sensor false alarm, the perception technology is backward, the information fusion degree is not high.... .. To solve the problem of safety system, whether to ensure mine safety, the answer is also impossible, because the monitoring and monitoring system focuses on environmental monitoring, lack of perception of personnel and equipment safety status, lack of accident prediction and early warning capability, and each system is independent. It is difficult to interconnect and separate the internal links of production, safety and management.
Li Hongchen introduced that IoT applications are also based on the perception layer, transport layer, service layer, and application layer. This is also the current demand for mine safety construction. At present, there are many applications of new technologies, the application of spectral analysis in the field of gas detection, the application of fiber grating technology, and the navigation of mine information in a map of GIS.
Li Hongchen believes that mine production, safety, operation, management and other services need interconnection, IOT, and information sharing. The open IoT system effectively supports the integration of mine production, safety, operation and management. Strengthen exchanges and cooperation, establish a safety production information technology support service system, and effectively support and guarantee safety production.
“Supervisory based on credit. Building a secure platform for credit information sharing and application.â€
——Yang Shaoliang, deputy director of the Government Information Network Office of the National Information Center
Yang Shaoliang talked about the national e-government extranet and the national credit information sharing exchange platform. He introduced that the social credit system is an important part of the socialist market economic system and social governance system. Promoting the construction of a social credit system will play a very important supporting role in innovating social governance methods, transforming government functions, and strengthening post-event supervision.
At present, the main body of the government affairs network is a four-level coverage. Yang Shaoliang mentioned that it will extend to the county and townships in the future. At present, 22 provinces, autonomous regions and municipalities + Xinjiang Corps have basically covered the county, Liaoning and other six provinces cover the city, and are extending to the county level. Chongqing and Tibet provinces are not built, and they are connected through transitional means. %, city level 94.3%, county level 86.7%, Beijing, Jiangxi and other 16 provinces, autonomous regions and municipalities have extended to townships, the township-level vertical coverage reached 34%.
Yang Shaoliang believes that the use of mature and advanced information technology and means, relying on the national e-government external network and non-confidential government information sharing and exchange of public infrastructure, to achieve interconnection and support with the credit information systems and platforms of various departments and regions Sharing and exchange of credit information across departments and regions. Gradually realize the collection of information submitted by various regions and departments and disclose it according to law, and build a comprehensive platform of multi-level, multi-layered and credit information sharing and application, and further improve the comprehensive utilization of credit information resources for the subsequent use of big data technology. Levels to promote the conditions for the government to monitor and serve the society.
“Building a more complete, scientific, safe, efficient and intelligent clean energy enterpriseâ€
——Deputy director of Shenhua Ningmei Group Information Technology Center
Zhang Jie introduced that the informationization construction of Shenning Group is an important means for the Group to leap-forward development, re-engineering management decisions, ensuring safe production and technological innovation, and is a full expression of the "two-in-depth integration."
At present, Shenning Group uses cloud computing, virtualization, big data and other technologies to create a “Shen Ning Private Cloud†with unified management, unified architecture, unified security and unified disaster recovery, and realizes on-demand release of 23 key business systems. "Double-network" integration, effectively improve information security and business security capabilities.
Talking about experience, Zhang Jie believes that enterprises should pay attention to the cultivation of high-level, precise and specialized talents. Pay attention to the "production, learning, research" to consolidate the network foundation and provide high-speed channels. Take care of all the measures to ensure the safe operation of the network.
Zhang Jie believes that it is necessary to strengthen the application of the "three major" systems and fine security basic management. Increase automation construction and improve safety and security capabilities. Improve coal mining methods and increase safety factor. Vigorously promote unmanned construction, and achieve cost reduction and efficiency. Develop intelligent video surveillance systems to enhance safety pre-control capabilities. Integrate intelligent mine information and improve dispatching and commanding capabilities. Establish a safety risk pre-control system to improve safety management.
"Promoting safety prevention and control capabilities from technical defense"
——Cheng Wei, Senior Engineer of Kingdee Middleware Co., Ltd.
The value of safety supervision information and big data application is to optimize the safety production process, improve the safety prevention and control ability, enhance the security protection efficiency, and promote safety production supervision.
According to Cheng Wei, data processing, data transmission, resource management, exchange configuration, exchange statistics, and monitoring audit are the core functions of the data exchange platform management center.
Cheng Wei believes that the safety supervision informationization project relies on the unified exchange platform of the central level of cross-departmental non-confidential government information sharing exchange at the central level of the national e-government external network construction to realize information sharing and business collaboration of the co-construction department. At the same time, it is urgent to formulate a government-wide management approach for safe production of big data between members of the Security Commission.
"Starting from the data to further improve the level of scientific governance"
——Yuan Yisheng, Executive Director of Inspur Group Co., Ltd.
Drawing on Internet thinking, we will use cloud computing, Internet of Things, big data and other technologies to create innovative wisdom and safety.
Yuan Yisheng said that in the future, the application-centered transformation will be centered on data. Regulatory supervision, dispatch statistics, administrative law enforcement, and emergency command will all start from the data. At the same time, we will use the Internet thinking to improve the government's service level.
Yuan Yisheng proposed that smart security supervision based on new technology has many innovative applications of security data, such as big data-based safety production index, enterprise, regional security risk status, seasonality, periodicity, correlation, etc. Laws provide support for making safe production decisions. For enterprises, using big data, you can present a picture of safe production of enterprises, security systems, safety supervision, safety production, safety training, public participation, safety patents, information status, etc. can be seen at a glance.
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