Metering cabinet state detection method, device, equipment and medium
A state detection and metering cabinet technology, applied in design optimization/simulation, special data processing applications, etc., can solve the problem that the state of the metering cabinet cannot be accurately judged for latent faults, and achieve the effect of improving trustworthiness
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Embodiment 1
[0050] Such as figure 1 As shown, the present invention provides a method for detecting the state of a metering cabinet, which specifically includes the following steps:
[0051] S10: Obtain feature information of the metering cabinet to be detected, and divide the feature information into different fuzzy factor sets based on feature identification.
[0052] Wherein, the metering cabinet to be tested refers to the metering cabinet that needs to be tested.
[0053] S20: Obtain the fuzzy factor set weight matrix and comprehensive score value of each fuzzy factor set.
[0054] S30: Calculate the fuzzy factor set weight matrix and comprehensive score value of each fuzzy factor set through the fuzzy normal distribution membership function, and obtain the state score of each fuzzy factor set.
[0055] S40: Calculate the state score of each fuzzy factor set through the minimum fuzzy operator, and select the feature identifier corresponding to the minimum score value as the target i...
Embodiment 2
[0089] Such as Figure 5 As shown, the difference between this embodiment and Embodiment 1 is that a metering cabinet state detection device is provided, including:
[0090] The fuzzy factor set creation module 10 is used to obtain the characteristic information of the metering cabinet to be detected, and divides the characteristic information into different fuzzy factor sets based on the characteristic identification;
[0091] The fuzzy factor set calculation module 20 is used to obtain the fuzzy factor set weight matrix and comprehensive score value of each fuzzy factor set;
[0092] The state score calculation module 30 is used to calculate the fuzzy factor set weight matrix and the comprehensive score value of each fuzzy factor set through the fuzzy normal distribution membership function to obtain the state score of each fuzzy factor set;
[0093] The target identification determination module 40 is used to calculate the state score of each fuzzy factor set by the minimu...
Embodiment 3
[0097] This embodiment provides a computer device, which may be a server, and its internal structure diagram may be as follows Figure 6 shown. The computer device includes a processor, memory, network interface and database connected by a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a computer-readable storage medium and an internal memory. The computer readable storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the computer-readable storage medium. The database of the computer equipment is used to store the data involved in a measuring cabinet state detection method. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by ...
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