Heat exchange unit fault diagnosis method and system based on edge calculation and neural network
A technology for heat exchange units and fault diagnosis, applied in neural learning methods, biological neural network models, heating systems, etc., can solve problems such as increased data delay, congestion calculation complexity, enhancement, etc., to improve efficiency and slow down Network bandwidth pressure, the effect of improving accuracy
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Embodiment 1
[0054] figure 1 It is a flow chart of the method for diagnosing a heat exchanger unit fault based on edge computing and a neural network involved in the present invention.
[0055] like figure 1 As shown, the present invention provides a method for fault diagnosis of heat exchanger units based on edge computing and neural network, including the following steps:
[0056] Step S1, deploy different types of sensors on the heat exchange unit equipment, collect various data under different working conditions of the equipment in real time to form a sample data set, and transmit it to the edge computing nodes deployed nearby; the collected data include at least vibration data, pressure Data, temperature data and flow data; working conditions include at least normal operation, vibration, leakage and blockage failure of heat exchange unit equipment, heat exchange unit equipment includes circulating pumps, heat exchangers, filters and pipelines;
[0057] Step S2, the edge computing no...
Embodiment 2
[0089] figure 2 It is a functional block diagram of the fault diagnosis system for heat exchange units based on edge computing and neural network involved in the present invention.
[0090] Such as figure 2 As shown, the second aspect of the present invention also proposes a heat exchange unit fault diagnosis system based on edge computing and neural network. The heat exchange unit fault diagnosis system includes:
[0091] The data acquisition module is used to deploy different types of sensors on the heat exchange unit equipment, collect various data under different working conditions of the equipment in real time to form a sample data set, and transmit it to the edge computing nodes deployed nearby; the collected data includes at least vibration Data, pressure data, temperature data and flow data; working conditions at least include normal operation, vibration, leakage and blockage of heat exchange unit equipment, heat exchange unit equipment includes circulating pumps, h...
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