Equipment state prediction method and device, storage medium and electronic device
A technology of equipment status and prediction methods, applied in the energy field, can solve problems such as undiscovered solutions, long calculation time, and difficulty in obtaining physical models, etc., to reduce the amount of prediction calculations, reduce the solution effect, and improve the predictable time.
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Embodiment 1
[0055]The method embodiment provided in Embodiment 1 of the present application may be executed in a server, a network terminal, a computer terminal or a similar computing device. Take running on the server as an example, figure 1 It is a block diagram of the hardware structure of a device state prediction terminal according to an embodiment of the present invention. Such as figure 1 As shown, the server 10 may include one or more ( figure 1 Only one is shown in ) processor 102 (processor 102 may include but not limited to processing devices such as microprocessor MCU or programmable logic device FPGA) and memory 104 for storing data. Optionally, the above-mentioned server can also be A transmission device 106 for communication functions and an input and output device 108 are included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and it does not limit the structure of the above server. For example, server 1...
Embodiment 2
[0104] In this embodiment, a device state prediction device is also provided, and the device is used to implement the above embodiments and preferred implementation modes, and what has been described will not be repeated here. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
[0105] Figure 5 is a structural block diagram of a device state prediction device according to an embodiment of the present invention, such as Figure 5 As shown, the device includes: an acquisition module 50, an establishment module 52, and a prediction module 54, wherein,
[0106] The collection module 50 is used to collect the fault time of the fault event of the target device within the sampling period, and determine the f...
Embodiment 3
[0115] An embodiment of the present invention also provides a storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.
[0116] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:
[0117] S1, collecting the fault time of the fault event of the target device within the sampling period, and determining the fault tree structure of the fault event;
[0118] S2. Establish a first probability model using the fault time, and establish a second probability model based on the fault tree structure;
[0119] S3. Predict a state value of the target device according to the first probability model and the second probability model, where the state value is used to represent a probability of failure of the target device.
[0120] Optionally, in this embodiment, the above-mentioned stor...
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