Big data-based electric cable well state evaluation and early warning system and method

Abstract

The invention discloses a big data-based electric cable well state evaluation and early warning method, comprising the following steps: processing data collected in real time to obtain a new trainingsample data set; performing running state evaluation on the data to obtain a comprehensive score of the current electric cable well running state; assessing the risk level of the current electric cable well running state according to the comprehensive score; and carrying out displaying and warning by an operation control system according to an assessment result. According to the method in the invention, multiple indicators affecting the running state of the electric cable well are firstly selected and synthesized through a principal component analysis method so as to obtain a new training sample data set, and then, a gene expression programming algorithm is used for mining a functional relationship between the comprehensive score and each index data, and finally, the current electric cablewell running state data is taken as the input of the functional relationship to calculate the comprehensive score, the calculation result is submitted to a risk early warning module, a risk level knowledge rule base is queried to evaluate the risk level of the current electric cable well running state, and feasible reference comments are given out.

Description

technical field [0001] The invention relates to a big data-based cable well state assessment and early warning system and method. Background technique [0002] With the acceleration of urbanization scale expansion and construction speed, the construction of corresponding urban ancillary facilities has also developed rapidly, and the power cable power supply network has also developed rapidly. Higher requirements are also put forward. At present, most power companies in the country are still in the planned maintenance stage for the management of main cables in power tunnels and trenches. Generally, regular inspections are used to check the operation status of cables. From an economic point of view and a technical point of view, planned maintenance has great limitations. For example, regular testing and maintenance have caused a lot of direct and indirect economic waste, and many insulation defects and potential failures cannot be found in time. [0003] At present, the exis...

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Problems solved by technology

From an economic point of view and a technical point of view, planned maintenance has great limitations. For example, regular testing and maintenance have caused a lot of direct and indirect economic waste, and many insulation defects and potential failures cannot be found in time.

[0003] At present, the existing research on the monitoring of cable well operation status still stays at the level of evaluating the cable well operation status data directly through sensors. These evaluation methods and evaluation systems are single, with low accuracy and insufficient reliability, especially the cable well operation status The increasing amount of data has put forward higher requirements for the evaluation of the status of cable wells. Therefore, scientific methods are urgently needed to evaluate and quantify the indicators of cable wells. It provides an important basis for personnel to carry out fault diagnosis and maintenance of cable wells

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