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CN-121983957-A - Industrial park electricity consumption monitoring system and method

CN121983957ACN 121983957 ACN121983957 ACN 121983957ACN-121983957-A

Abstract

The invention discloses an industrial park electricity monitoring system and method, which relate to the technical field of electricity monitoring, wherein enterprise electricity monitoring data are independently collected through a deployed monitoring equipment set, reliable data support is provided for accurately grasping electricity characteristics of each enterprise, during peak clipping processing, an adjustable enterprise is screened based on planning adjustability and electricity adjustment cost, electricity loads of the adjustable enterprise are transferred to an idle period, and then the electricity loads of an enterprise non-production area and the electricity loads of a public area of the park are sequentially interrupted according to the existing adjustment area.

Inventors

  • CHENG WENJING

Assignees

  • 苏州越禾泰普数据科技有限公司

Dates

Publication Date
20260505
Application Date
20260106

Claims (10)

  1. 1. The industrial park electricity consumption monitoring system is characterized by comprising a central processing module and a monitoring equipment group connected with the central processing module, wherein the monitoring equipment group comprises an edge processing module and an intelligent monitoring terminal connected with the edge processing module; the central processing module is used for receiving a load prediction curve sent by the monitoring equipment group, wherein the load prediction curve comprises a public load curve of a public area in a park and an enterprise load curve of each enterprise, and The load prediction curve is used for generating a park load curve based on the load prediction curve, and peak clipping processing is carried out on the park load curve according to the rated load curve of the park, wherein the peak clipping processing is realized by adjusting the load prediction curve.
  2. 2. The industrial park electricity usage monitoring system of claim 1, wherein the monitoring equipment group is deployed within the industrial park, comprising: The method comprises the steps of independently configuring edge processing modules for a plurality of garden partitions in an industrial park, wherein the center processing modules are connected with a plurality of edge processing modules, and the garden partitions comprise public areas and enterprises; And configuring intelligent monitoring terminals in a plurality of enterprise partitions in the enterprise, wherein the intelligent monitoring terminals are connected with the edge processing modules independently configured by the enterprise, and the intelligent monitoring terminals are used for monitoring electricity consumption.
  3. 3. The industrial campus electricity usage monitoring system of claim 1, wherein generating a campus load curve based on the load prediction curve comprises: Extracting a public load curve of a public area in an industrial park and enterprise load curves of a plurality of enterprises, wherein the public load curve and the enterprise load curve are load curves obtained through prediction; and carrying out alignment superposition processing on the public load curve and the enterprise load curves to obtain a park load curve of the industrial park.
  4. 4. The industrial park electricity usage monitoring system of claim 1, wherein the predictive acquisition of the enterprise load profile comprises: Extracting preset production plans and weather forecast data of a plurality of time periods of a forecast time period, wherein the corresponding time range of the time period is set according to the time range of the forecast time period; the time period, the corresponding scheduled production plan and weather forecast data are standardized and then input into the load forecast model, and electricity utilization forecast loads of a plurality of time periods are obtained; an enterprise load curve for a predicted period is generated based on a fit of the electrical predicted load for a number of periods.
  5. 5. The industrial park electricity usage monitoring system of claim 4 wherein the load prediction model is obtained through artificial intelligence model training, comprising: Constructing an artificial intelligent model, wherein the artificial intelligent model comprises a BP neural network model or a deep convolution neural network model; And extracting a plurality of training data from historical electricity consumption data of an enterprise, and training the artificial intelligent model through the plurality of training data to obtain a load prediction model, wherein the training data comprises a production plan, weather data and corresponding unit electricity consumption load, and the unit electricity consumption load refers to average electricity consumption power in a time period.
  6. 6. The industrial park electricity usage monitoring system of claim 1, wherein peak clipping the park load curve according to the rated load curve of the park comprises: Extracting a rated load curve of the park, wherein the rated load curve is generated according to the power supply limit and the load upper limit of the park; And carrying out peak clipping treatment on the adjustment area based on planning adjustability and electricity consumption adjustment cost.
  7. 7. The industrial park electricity usage monitoring system of claim 6 wherein peak clipping the adjustment area based on planning adjustability and electricity usage adjustment costs comprises: Determining a plurality of adjustable enterprises according to the plan adjustability and the electricity consumption adjustment cost; and transferring the electricity load in the adjustment area according to a plurality of enterprise load curves of the adjustable enterprises to obtain an adjusted enterprise load curve, and finishing peak clipping processing of the load curve of the park.
  8. 8. The industrial park electricity monitoring system of claim 7 wherein after the electricity load transfer is completed by each of the plurality of adjustable enterprises, there is still an adjustment zone and peak clipping is performed sequentially according to the electricity load curve of the non-production zone and the electricity load curve of the common zone.
  9. 9. The industrial park electricity usage monitoring system of claim 1 wherein the edge processing module performs hierarchical encrypted transmission of electricity usage monitoring data, comprising: Receiving a data demand instruction, and extracting electricity consumption monitoring data according to the data demand instruction, wherein the electricity consumption monitoring data comprises basic monitoring data and a data processing result thereof; And carrying out hierarchical encryption according to sensitive labels of all data types in the electricity consumption monitoring data, and transmitting the obtained encrypted data to a central processing module, wherein the sensitive labels comprise high sensitivity and low sensitivity.
  10. 10. An industrial park electricity monitoring method operating based on the industrial park electricity monitoring system of any one of claims 1 to 9, comprising: the load prediction curve sent by the monitoring equipment group is received, wherein the load prediction curve comprises a public load curve of a public area in a park and enterprise load curves of enterprises; generating a park load curve based on the load prediction curve, and carrying out peak clipping treatment on the park load curve according to a rated load curve of the park, wherein the rated load curve is constructed based on the park power supply requirement.

Description

Industrial park electricity consumption monitoring system and method Technical Field The invention belongs to the technical field of electricity consumption monitoring, and particularly relates to an electricity consumption monitoring system and method for an industrial park. Background The existing industrial park electricity monitoring technology adopts a centralized data acquisition mode, namely, unified monitoring equipment is deployed on the park level to collect overall electricity data, a park total load curve is predicted based on historical electricity load trend, and a fixed peak clipping and valley filling strategy is limited according to the park electricity supply amount and load. In the prior art, the integral power load of a park is directly subjected to one-cut adjustment, and the consideration of adjustability of enterprises is lacking in the peak clipping and valley filling treatment process. Specifically, the centralized data acquisition cannot accurately capture the personalized electricity utilization characteristics of each enterprise, so that the generated park load curve has larger deviation from the actual electricity utilization demand of the enterprise, the power distribution is lack of pertinence, the accurate energy-saving optimization is difficult to realize, the peak clipping and valley filling adjustment or the simplified load management and control are easy to interfere the core production activities of the enterprise, the productivity of the enterprise is reduced and the operation benefit is damaged due to the excessively limited electricity utilization, or the overload of the park power supply cannot be effectively avoided due to the insufficient adjustment, and the balance between the safety of the park power supply and the continuity of the enterprise production is difficult to realize. The invention provides an industrial park electricity consumption monitoring system and method for solving the technical problems. Disclosure of Invention The invention aims to at least solve one of the technical problems in the prior art, and therefore, the invention provides an industrial park electricity monitoring system and method. In order to achieve the above object, a first aspect of the present invention provides an electricity monitoring system for an industrial park, including a central processing module and a monitoring device group connected with the central processing module, wherein the monitoring device group includes an edge processing module and an intelligent monitoring terminal connected with the edge processing module; the central processing module is used for receiving a load prediction curve sent by the monitoring equipment group, wherein the load prediction curve comprises a public load curve of a public area in a park and an enterprise load curve of each enterprise, and The load prediction curve generation method is used for generating a park load curve based on the load prediction curve, and carrying out peak clipping processing on the park load curve according to the rated load curve of the park, wherein the peak clipping processing is realized by adjusting the load prediction curve. In one possible implementation, a monitoring equipment group is deployed within an industrial park, comprising: the method comprises the steps of independently configuring edge processing modules for a plurality of garden partitions in an industrial park, wherein the center processing modules are connected with the plurality of edge processing modules, and the garden partitions comprise public areas and enterprises; And configuring intelligent monitoring terminals in a plurality of enterprise partitions in the enterprise, wherein the intelligent monitoring terminals are connected with edge processing modules independently configured by the enterprise, and the intelligent monitoring terminals are used for monitoring electricity consumption. In one possible implementation, generating a campus load curve based on the load prediction curve includes: Extracting a public load curve of a public area in an industrial park and enterprise load curves of a plurality of enterprises, wherein the public load curve and the enterprise load curve are load curves obtained through prediction; And carrying out alignment superposition processing on the public load curve and the enterprise load curves to obtain a park load curve of the industrial park. In one possible implementation, the predictive acquisition of the enterprise load profile includes: Extracting preset production plans and weather forecast data of a plurality of time periods of a forecast time period, wherein the corresponding time range of the time period is set according to the time range of the forecast time period; The method comprises the steps of calling a pre-trained load prediction model, standardizing a time period, a corresponding preset production plan and weather prediction data, and inputting the standardized time period, the