Power safety and quality on-site monitoring master station - wireless data terminal management system

Abstract

The invention relates to a safety and quality on-site supervision master station for power and a wireless data terminal. The master station comprises a main processor, an operational plan data interface, an alpha-meta-task analysis unit, a beta 1 safety standard / regulation digital structural component generation and storage unit, a beta 2 safety standard / regulation digital structural component generation and storage unit and the like; and the wireless data terminal comprises a processor, a task list accepting unit, an on-site supervision-assessment-evaluation unit, a gamma 1 safety standard / regulation digital structural component storage unit, a gamma 2 safety standard / regulation digital structural component storage unit and the like. Compared with the prior art, the safety and quality on-site supervision master station for power and the wireless data terminal have the beneficial effects that the safety and quality standards and the like of the power generation construction operations are taken as production factors and accurately applied to the power generation construction operation process by use of the information technology and the wireless communication technology based on a safety and quality standard digital structural information system (AZIS), and therefore, the overall level of management on the safety and the quality of the power generation construction operations can be improved.

Description

Technical field [0001] The present invention relates to the technical field of wireless data transmission, in particular to a power-specific safety and quality on-site monitoring master station-wireless data terminal management system. Background technique [0002] China’s electric power safety + quality on-site supervision mainly adopts the traditional methods of relying on the personal professional experience of the inspectors, which is inefficient and inaccurate. On-site supervision and inspection of the safety and quality of the power operation and maintenance, engineering construction process has been difficult to integrate safety and quality standards and procedures. On-site accurate application; on the one hand, there are many construction projects for "each" electric power operation and the on-site environment is complex (geographical environment, climate environment and objective environment affecting construction such as operating oil and gas pipelines, railways, highway...

AI Technical Summary

Problems solved by technology

[0002] China's electric power safety + quality on-site supervision mainly relies on the traditional personal professional experience of supervisors, which is inefficient and inaccurate. It has been difficult to integrate safety and quality standards and regulations in the on-site supervision and inspection of power operation and maintenance, engineering construction process safety and quality. Accurate application on site; on the one hand, there are many construction projects for each electric power operation and the site environment is complex (geographic environment, climate environment and objective environment affecting construction, such as operating oil and gas pipelines, railways, highways, power lines, densely populated areas, etc. ), there is no accurate and standardized definition of the job site, and there is no fine classification of the job site, which is not conducive to the application of intelligence, information and structure; on the other hand, the professional Many, rich in content, and contain a large number of restrictive data charts, relying on the memory and experience of the inspectors themselves, it is impossible to accurately quantify the reference standards on the spot. In addition, the regulatory standards in the industry are constantly updated, and the supervisors and inspectors cannot grasp the required standards in a timely and accurate manner. , procedures and data, so currently only qualitative monitoring of on-site safety and quality can be carried out, and quantitative monitoring and assessment cannot be implemented

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