A power failure information monitoring and analysis system

Abstract

The invention discloses a power failure information monitoring and analysis system. The power failure information monitoring and analysis system comprises a data acquisition unit, a power failure monitoring unit, a power failure analysis unit, a service management unit and an emergency scheduling unit, wherein the data acquisition unit is used for acquiring the basic user information, acquisitionpoint data, first line data, first district data and power failure information data form an SG186 marketing system, acquiring client archive data, terminal data, second district data, second line data, detection data, terminal detection data, district detection data and line detection data from an electricity information acquisition system and acquiring fault repair orders from a 95598 order control system, the power failure monitoring unit is used for monitoring power failure conditions of users, the power failure analysis unit is used for analyzing the power failure conditions of the users,the service management unit is used for analyzing the user power failure information and the repair orders, and the emergency scheduling unit is used for scheduling and recording the power failure conditions of the users. The power failure information monitoring and analysis system is advantaged in that precise fault repair order positioning, effective control of power failure information accuracyand active and efficient fault repair are realized.

Description

technical field [0001] The invention relates to a power failure information monitoring and analysis system. Background technique [0002] In the 95598 customer service appeal acceptance business, fault repairs accounted for about 60% of the work orders processed, and derived complaints such as power supply quality or power outages. After data analysis of fault repair processing feedback, the proportion of power outages on the non-grid side As high as 40%, it directly leads to an increase in the workload of on-site processing and service pressure, which greatly reduces the effective use of human resources and resources, and affects the level of first-time resolution of customer appeals and the efficiency of overall service repairs. The occurrence of this phenomenon is mainly due to the lack of real-time data extraction and support for power outages on the grid side and power outages on the customer side. As a result, in the process of accepting customer appeals, it can only b...

AI Technical Summary

Problems solved by technology

[0005] 1. In the marketing system, the power outage information includes the geographic range of customers, but it fails to achieve precise positioning, and lacks a direct matching relationship between the power outage information and users. As a result, when the power outage information has been reported to the State Grid Customer Service Center, Due to the failure of the customer service center to sort out a large number of power outage information in a timely manner, the fault report work orders that had been dispatched to the city and county companies were dispatched again

[0006] 2. When accepting repair reports, the service supply side cannot directly locate other customers in the same range based on the provided electricity consumption information, and cannot judge whether the customer is an internal fault or a fault on the grid side. The actual power outage on the grid side, the number of calls from customers for repairs suddenly increased in a short period of time, and regional traffic peaks will occur

[0007] 3. The power consumption information collection system has the data relationship for accurate household analysis of power outage information, and can accurately determine the nature of customer-side power outages based on electrical parameters. However, due to the independence and unsystematic nature of the data, an analysis application model cannot be established. Information data failed to fully support service emergency and dispatch

[0008] 4. Among the reported power outage information, the affected station area and the number of households affected by the power outage are unstructured data, which are not easy to process and analyze; the line analysis involved in the power outage work order needs to be associated with customer file information, and the data processing is complicated High; manual analysis of power outage information data is inefficient, and real-time and historical statistics cannot be realized

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