Energy consumption monitoring device in intelligent production equipment, and operation method thereof
A technology of intelligent production and monitoring devices, applied in the energy industry, program control, comprehensive factory control, etc., can solve the problems of single early warning method and uncertain monitoring results, and achieve the effect of cost saving
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Embodiment 1
[0058] like figure 1 As shown, an energy consumption monitoring device in intelligent production equipment includes a data acquisition module 1, a data preprocessing module 2, an equipment current grouping module 3, an equipment operation status module 4, and an online monitoring module 5; wherein:
[0059] The data acquisition module 1 is arranged on the intelligent production equipment, collects energy consumption data of the intelligent production equipment, and transmits the energy consumption data to the data preprocessing module 2;
[0060] The data preprocessing module 2 preprocesses the energy consumption data to obtain the node grouping status and operating status of the equipment;
[0061] The equipment current grouping module 3 is used to construct a equipment current grouping model, and judges the correlation abnormality of the energy consumption between the equipment in the group according to the node grouping state of the equipment, and outputs the abnormal energ...
Embodiment 2
[0087] More specifically, on the basis of Example 1, such as figure 2 A method for operating an energy consumption monitoring device in intelligent production equipment includes the following steps:
[0088] S1: Deploy the data acquisition module 1 on the intelligent production equipment to collect the energy consumption data of the intelligent production equipment;
[0089] S2: Preprocess the energy consumption data through the data preprocessing module 2 to obtain the node grouping status and operating status of the equipment;
[0090]S3: Train the device current grouping model through the device current grouping module 3, use the node grouping status of the device as the input of the device current grouping model, judge the abnormality of the energy consumption between the devices in the group, and output the abnormal energy consumption;
[0091] S4: Train the equipment operation status model through the equipment operation status module 4, use the equipment operation sta...
Embodiment 3
[0103] On the basis of Embodiments 1 and 2, aiming at the shortcomings of the old technology, this solution proposes a monitoring and early warning method for indicators such as the operating status and energy consumption status of each equipment in the intelligent manufacturing production process based on big data analysis, and borrows Data mining and deep learning technology are used to monitor the energy consumption status in complex environments, display and warn the results, and provide powerful help for enterprises to calculate losses and make decisions; The operating status of the equipment is used to analyze the energy consumption and other indicators of the equipment, and the original machinery is optimized. It is only based on a single standard and a single early warning method, making the monitoring results more convincing and saving costs for the enterprise.
[0104] This program includes five parts: ①Data acquisition module 1; ②Data preprocessing module 2; ③Equipme...
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