Power monitoring system based on big data fusion model
A fusion model and power monitoring technology, applied in the field of power systems, can solve problems such as low power management efficiency, high operation and maintenance costs, low security and reliability of power monitoring systems, and achieve strong scalability and improve modern management horizontal effect
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Embodiment 1
[0070] figure 1 It is a system architecture diagram of the present invention. Such as figure 1 As shown, the present invention provides a kind of electric power monitoring system based on big data fusion model, and described system comprises:
[0071] A field device layer, the field device layer adopts an industrial field bus, connects the intelligent devices of the field device layer to form a network, and collects field data through the intelligent devices of the field device layer.
[0072] Communication management layer, which collects data and information, converts communication protocols, and receives and transmits instructions;
[0073] The system management layer displays, analyzes and stores the collected data.
[0074] Specifically, the system adopts an architecture design that combines overall and distributed, and is designed according to different functions and modules. The entire system is divided into three layers: field device layer, communication management ...
Embodiment 2
[0115] The present invention also provides a power monitoring system based on a big data fusion model, the system includes a processor and a memory, and the processor is configured to execute instructions stored in the memory to achieve the following operations:
[0116] Controlling the smart devices at the field device layer to collect on-site data, wherein the field device layer adopts an industrial field bus, and connects the smart devices at the field device layer to form a network;
[0117] Control the communication management layer to collect data and information, convert communication protocols, and receive and transmit instructions;
[0118] The management of the control system displays, analyzes and stores the collected data;
[0119] Wherein, the system management layer uses the CoxPH algorithm based on deep learning to extract the feature value of the received data, including:
[0120] Define the model hazard function: (1)
[0121] It satisfies: Constant= (2...
Embodiment 3
[0133] The present invention also provides a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions implement the following operations when executed by a processor:
[0134] Controlling the smart devices at the field device layer to collect on-site data, wherein the field device layer adopts an industrial field bus, and connects the smart devices at the field device layer to form a network;
[0135] Control the communication management layer to collect data and information, convert communication protocols, and receive and transmit instructions;
[0136] The management of the control system displays, analyzes and stores the collected data;
[0137] Wherein, the system management layer uses the CoxPH algorithm based on deep learning to extract the feature value of the received data, including:
[0138] Define the model hazard function: (1)
[0139] It satisfies: Constant= (2...
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