Grid management optimization method and system based on multi-dimensional portrait evaluation
A grid and portrait technology, applied in the field of grid management optimization based on multi-dimensional portrait evaluation, can solve the problems of high operation and management efficiency, insufficient analysis of grid indicators, and inability to effectively grasp the score of grid division management portraits, etc. Achieve the effect of high promotion and use value and high operation and management efficiency
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Embodiment 1
[0030] like figure 1 As shown, the present application provides a grid management optimization method based on multi-dimensional portrait evaluation, the method includes:
[0031] Step S100: obtaining multi-dimensional grid management data through a data collection platform, and filtering and obtaining grid portrait index data based on the multi-dimensional grid management data;
[0032]Specifically, in the case of the increasingly fierce competition among the three major operators in the market, the quality of home broadband services has increasingly become an important competitive advantage. Operators and service providers need to use effective IT means to improve their home broadband services. Under the background of full-service operation and triple-play integration, major operators are vigorously developing broadband services. Facing the fierce market competition, they must further improve their operation level and reduce operation and maintenance costs. Grid-based subdi...
Embodiment 2
[0093] Based on the same inventive concept as the grid management optimization method based on multi-dimensional portrait evaluation in the foregoing embodiment, the present invention also provides a grid management optimization system based on multi-dimensional portrait evaluation, such as Figure 5 As shown, the system includes:
[0094] a first obtaining unit 11, the first obtaining unit 11 is configured to obtain multi-dimensional grid management data through a data collection platform, and filter and obtain grid portrait index data based on the multi-dimensional grid management data;
[0095] The second obtaining unit 12, the second obtaining unit 12 is configured to perform principal component analysis on the grid portrait index data to obtain dimension-reduced grid portrait index data;
[0096] The third obtaining unit 13, the third obtaining unit 13 is configured to perform weight distribution on the dimensionality reduction grid portrait index data, and obtain the bus...
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