Data acquiring and grading early warning system based on WEBGIS

Abstract

The invention discloses a data acquiring and grading early warning system based on a WEBGIS. According to the system, a current signal acquired from an enterprise safety production system is converted into a code numerical value capable of being read by software through a basic hardware layer; a transmission layer carries out data transmission according to the OPC or Web service technology, and data layer warehouse management is carried out; big data integration, comprehensive analysis and digital modeling are carried out on a data model layer; the WEBGIS technology is combined, map showing is displayed on an application layer through a middleware layer according to the hazardous chemical substance characters and the safety production characteristics, and grading early warning is carried out; by means of GIS comprehensive display, major hazard source pre-plan management, integral communication, emergency resource management, monitoring implementing, early warning results, contingency plans, decision making aiding and an emergency disposal system are combined for emergency commanding of major hazard sources.

Description

technical field [0001] The invention belongs to the technical field of production safety systems, and in particular relates to a WebGIS-based data acquisition and monitoring and grading early warning system. Background technique [0002] my country is currently in the process of industrialization, and the demand for dangerous goods in all walks of life is also increasing year by year. The transportation, production, and storage of dangerous goods are a dynamic source of danger. Once an accident occurs, it will cause major economic losses and bring serious social impact. Although the safety supervision of major domestic chemical parks has adopted advanced foreign production management and operation systems, they still cannot meet the daily management and safety supervision needs of the parks, especially the increased workload of hazardous chemicals in chemical parks. The demand for safety supervision and emergency warning. [0003] Real-time monitoring and hierarchical earl...

AI Technical Summary

Problems solved by technology

[0005] 1. The system docking is relatively closed: At present, the main production management systems of large domestic chemical companies are mainly foreign systems, mainly ABB, Siemens, Schneider, Honeywell, etc., and most of their systems are self-developed control systems, external access technology Barriers are more difficult, the means are single, and the degree of control display is affected

[0006] 2. The cost of system data acquisition is high: Foreign chemical automatic control systems have also launched enterprise-level ERP systems for large enterprises, such as Honeywell's PHD (Process History Database) real-time database control management system, which can acquire and store production data in real time, but The overall cost is high, and customization is not strong

[0007] 3. Data islands are serious on the spot: domestic large-scale chemical and hazardous chemical production management parks often have separate production and management, and the phenomenon of data islands is serious. There is a lack of unified data acquisition, data mining, system analysis, comprehensive display, early warning and monitoring, etc. Government-level macro management system

[0008] 4. The data display form is relatively simple: the current enterprise monitoring and early warning system is mainly a monochrome early warning that comes with the production automatic control system, which is not combined with the actual situation of the factory area or the GIS map. The form of expression is not intuitive, rather boring, and not vivid enough. People and leadership decisions matter

[0009] 5. The degree of refinement of the emergency plan is not enough: due to the lack of the above-mentioned unified data acquisition, monitoring and early warning system, there is a lack of a relatively complete emergency plan corresponding to the occurrence of major accidents and before the occurrence

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