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CN-118584839-B - System control method, device and storage medium

CN118584839BCN 118584839 BCN118584839 BCN 118584839BCN-118584839-B

Abstract

The application discloses a control method, a device and a storage medium of a system. The method comprises the steps of obtaining current user load of a service area of a target system and monitoring images of all subareas in the service area, controlling all parts to work according to the current user load under the condition that an artificial intelligent model indicates that all parts in the service area are normal in operation according to the identification results obtained by the monitoring images of all subareas, enabling the artificial intelligent model to be obtained by pre-training images (namely images with different resolutions), and controlling a second part in the target system to operate according to a specified working mode under the condition that the artificial intelligent model indicates that a first part with abnormal operation exists in the service area according to the identification results obtained by the monitoring images of all subareas, so that the influence caused by faults of the first part is eliminated, load supply can be regulated according to load requirements, and the technical problem that a building equipment self-control system is not energy-saving enough in operation can be solved.

Inventors

  • ZHANG WENXIU
  • JIANG ZHUO
  • LIN HAILIANG
  • LI HAIDONG
  • LIU WEI
  • WEI JIA
  • JIANG LIQUN
  • ZHANG BINGRUI
  • LI CHUNMING

Assignees

  • 北京市华清地热开发集团有限公司

Dates

Publication Date
20260508
Application Date
20240517

Claims (9)

  1. 1. A method for controlling a system, comprising: Acquiring the current user load of a service area of a target system and monitoring images of all subareas in the service area, wherein the target system comprises a plurality of parts positioned in all subareas, the parts are used for providing service for the service area, and the user load is the load requirement of users in the service area; Under the condition that an artificial intelligent model indicates that all components in the service area operate normally according to the identification result obtained by the monitoring image of each subarea, controlling all components in the target system to operate according to the current user load, wherein the artificial intelligent model is obtained by pre-training through an image pair, the image pair comprises a first image with a first resolution and a second image with a second resolution obtained by shooting the same subarea, the resolution of the monitoring image is the first resolution, and the second resolution is integral multiple of the first resolution; controlling a second component in the target system to operate according to a specified working mode under the condition that the identification result obtained by the artificial intelligent model according to the monitoring image of each subarea shows that a first component with abnormal operation exists in the service area, so as to eliminate the influence caused by the fault of the first component, wherein the second component is different from the first component; The plurality of components include N load providing devices, M load switching devices, and M load delivering devices, wherein controlling each component in the target system to operate according to the current user load includes: Acquiring user loads provided by a plurality of load providing devices, a plurality of load exchange devices and a plurality of load delivery devices which are currently operated, wherein the number of the plurality of load providing devices which are currently operated is less than or equal to an integer N, and the number of the plurality of load exchange devices which are currently operated is the same as the number of the plurality of load delivery devices which are currently operated and is less than the integer M; And controlling the running states of the N load providing devices, the M load switching devices and the M load delivery devices under the condition that the provided user load is not matched with the current user load so as to meet the current user load, wherein the number of the load switching devices in the running state is the same as the number of the load delivery devices in the running state.
  2. 2. The method of claim 1, wherein prior to acquiring the current user load of a service area of a target system and the monitored images of the respective sub-areas in the service area, the method further comprises: Respectively calling a first image acquisition device and a second image acquisition device, and acquiring an image pair of a target part to be monitored in the target system in a fixed-distance mode, wherein the resolution of the first image acquisition device is a first resolution, and the resolution of the second image acquisition device is a second resolution; Preprocessing the acquired image pair to obtain an image pair for training, wherein the preprocessing comprises image fission processing and image anti-interference enhancement processing, the image fission processing comprises clipping, angle transformation and color space transformation, and the image anti-interference enhancement processing comprises Laplace transformation, histogram equalization and gradient operator sharpening; an artificial intelligence model is constructed that includes a generative model and a classification model, and the artificial intelligence model is trained using the training images.
  3. 3. The method of claim 1, wherein controlling the operating states of the M load switching devices and the M load delivery devices in the event that the provided user load does not match the current user load comprises: When the provided user load is smaller than the current user load, an electric valve on a water inlet and outlet pipeline of a first load providing device in a closed state is opened, and after the electric valve is opened for a first time period, a first load exchange device in the closed state and a first load delivery device in the closed state are started; And closing the second load providing equipment in an opening state under the condition that the provided user load is larger than the current user load, closing the second load switching equipment in the opening state and the second load delivery equipment in the opening state after the closing time of the second load providing equipment reaches the first time, and closing the electric valve on the water inlet and outlet pipeline of the second load providing equipment after the closing time of the second load switching equipment and the second load delivery equipment reaches the second time.
  4. 4. The method of claim 1, wherein the target system includes N load providing devices, M load delivering devices, P indoor devices, P circulating devices, and P outdoor devices, wherein controlling each component in the target system to operate according to the current user load includes: Acquiring a user load provided by a currently running device, wherein the currently running device comprises a plurality of load providing devices; And under the condition that the provided user load is not matched with the current user load, controlling the running states of the M load delivery devices, the P indoor devices, the P circulating devices and the P outdoor devices so as to meet the current user load, wherein the number of the indoor devices in the running state is the same as the number of the outdoor devices in the running state.
  5. 5. The method of claim 4, wherein controlling the operating states of the M load delivery devices, the P indoor devices, the P circulation devices, and the P outdoor devices in the case that the provided user load does not match the current user load comprises: Opening an electric valve on a water inlet and outlet pipeline of first indoor equipment in a closed state under the condition that the provided user load is smaller than the current user load, starting first circulating equipment in the closed state and third load delivery equipment in the closed state after the electric valve is opened for a third time period, starting first outdoor equipment in the closed state after the operation time periods of the first circulating equipment and the third load delivery equipment reach a fourth time period, and starting the first indoor equipment after the operation time period of the first outdoor equipment reaches a fifth time period, wherein the third time period is longer than the fourth time period and shorter than the fifth time period.
  6. 6. The method of claim 5, wherein controlling the operating states of the M load delivery devices, the P indoor devices, the P circulation devices, and the P outdoor devices in the case that the provided user load does not match the current user load, further comprises: And closing the electric valve on the water inlet and outlet pipeline of the second indoor equipment after the closing time of the second circulating equipment and the fourth load delivery equipment reaches a seventh time, and closing the second outdoor equipment in the opening state after the closing time of the second circulating equipment and the fourth load delivery equipment reaches an eighth time.
  7. 7. A control device of a target system, characterized by comprising: The system comprises an acquisition unit, a control unit and a display unit, wherein the acquisition unit is used for acquiring the current user load of a service area of a target system and a monitoring image of each subarea in the service area, the target system comprises a plurality of parts positioned in each subarea, the parts are used for providing service for the service area, and the user load is the load requirement of a user in the service area; The first control unit is used for controlling each component in the target system to work according to the current user load under the condition that the identification result obtained by the artificial intelligent model according to the monitoring image of each subarea shows that the components in the service area are all in normal operation, wherein the artificial intelligent model is obtained by pre-training through an image pair, the image pair comprises a first image with a first resolution and a second image with a second resolution, the first image is obtained by shooting the same subarea, the resolution of the monitoring image is the first resolution, and the second resolution is an integer multiple of the first resolution; The second control unit is used for controlling a second component in the target system to operate according to a specified working mode so as to eliminate the influence caused by the failure of the first component under the condition that the identification result obtained by the artificial intelligent model according to the monitoring image of each sub-region shows that the first component has abnormal operation in the service region, wherein the second component is different from the first component; the plurality of components includes N load providing devices, M load switching devices, and M load delivering devices, and in the first control unit, controlling each component in the target system to operate according to the current user load includes: Acquiring user loads provided by a plurality of load providing devices, a plurality of load exchange devices and a plurality of load delivery devices which are currently operated, wherein the number of the plurality of load providing devices which are currently operated is less than or equal to an integer N, and the number of the plurality of load exchange devices which are currently operated is the same as the number of the plurality of load delivery devices which are currently operated and is less than the integer M; And controlling the running states of the N load providing devices, the M load switching devices and the M load delivery devices under the condition that the provided user load is not matched with the current user load so as to meet the current user load, wherein the number of the load switching devices in the running state is the same as the number of the load delivery devices in the running state.
  8. 8. A computer readable storage medium, characterized in that the storage medium comprises a stored program, wherein the program when run performs the method of any of the preceding claims 1 to 6.
  9. 9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor performs the method according to any of the preceding claims 1 to 6 by means of the computer program.

Description

System control method, device and storage medium Technical Field The present application relates to the field of building automatic control technology, and in particular, to a method and apparatus for controlling a system, and a storage medium. Background This section is intended to provide a background or context for the matter recited in the claims or specification, which is not admitted to be prior art by inclusion in this section. A BA system is a fully-called building equipment automatic control system (Building Automation System-RTU), which is a professional building automatic control system for realizing centralized monitoring and management of building electromechanical equipment through specific terminal equipment by taking a microcomputer as a center and connecting regional intelligent substations (namely DDCs) distributed on a monitoring site through a network conforming to an industrial standard. The distributed system is designed based on the distributed control theory in the modern control theory, and is a comprehensive monitoring system with centralized operation, management and distributed control functions. The system aims to comprehensively and effectively monitor and manage most electromechanical devices in a building by adopting a modern computer technology, and ensure that all the devices in the building are in an efficient and reasonable running state. The building equipment automatic control system mainly monitors, measures and monitors lighting equipment such as power transformation and distribution equipment, emergency standby power equipment, storage batteries, uninterrupted power supply equipment and the like of a building, monitors, measures and controls operation conditions such as water supply and drainage equipment, drinking water equipment, sewage treatment equipment and the like of a water supply and drainage system, monitors, measures and controls operation conditions such as secondary heat source equipment, air conditioning equipment, ventilation equipment, environment monitoring equipment and the like of an air conditioning system, monitors operation conditions such as heat source equipment and the like of a thermodynamic system, and monitors operation conditions such as elevators and escalator equipment. The monitoring and the management of the electromechanical equipment in the building are realized through the RTU, so that the manpower resources can be saved, and a more comfortable and safe environment is created for users. When the existing building equipment automatic control system is operated, the existing building equipment automatic control system basically operates under full load, energy is not saved enough, and an effective solution to the problem is not proposed at present. Disclosure of Invention The embodiment of the application provides a control method, a device and a storage medium of a system, which are used for at least solving the technical problem that an automatic control system of building equipment is not energy-saving enough in operation. According to one aspect of the embodiment of the application, a control method of a system is provided, which comprises the steps of obtaining a current user load of a service area of a target system and monitoring images of all subareas in the service area, wherein the target system comprises a plurality of parts located in all subareas, the parts are used for providing service for the service area, the user load is the load demand of a user in the service area, when an artificial intelligence model indicates that all the parts in the service area are normal according to a recognition result obtained by the monitoring images of all the subareas, each part in the target system is controlled to work according to the current user load, the artificial intelligence model is obtained by pre-training through an image pair, the image pair comprises a first image and a second image with a first resolution obtained by shooting the same subarea, the first resolution is the monitoring image, the second resolution is an integral multiple of the first resolution, and when the artificial intelligence model indicates that the first part which is abnormal in the service area is located in the service area according to the recognition result obtained by the monitoring images of all the subareas, the second part in the target system is controlled to work according to a specified work mode, so that the second part in the target system is not influenced by the first part is different from the first part. Optionally, the plurality of components comprise N load providing devices, M load exchange devices and M load delivery devices, each component in the control target system works according to the current user load, the control target system comprises the steps of acquiring the current user load provided by the current load providing devices, the current load exchange devices and the current load delivery devices, wherein the number