CN117559652A - Intelligent optimization energy-saving system based on unmanned on duty distribution monitoring - Google Patents
Intelligent optimization energy-saving system based on unmanned on duty distribution monitoring Download PDFInfo
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- CN117559652A CN117559652A CN202311568600.3A CN202311568600A CN117559652A CN 117559652 A CN117559652 A CN 117559652A CN 202311568600 A CN202311568600 A CN 202311568600A CN 117559652 A CN117559652 A CN 117559652A
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- 238000009877 rendering Methods 0.000 claims abstract description 36
- 230000000007 visual effect Effects 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims description 14
- 238000003745 diagnosis Methods 0.000 claims description 13
- 238000013507 mapping Methods 0.000 claims description 11
- 238000003384 imaging method Methods 0.000 claims description 10
- 230000003287 optical effect Effects 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims 2
- 238000005516 engineering process Methods 0.000 abstract description 7
- 238000013527 convolutional neural network Methods 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 6
- 238000013145 classification model Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000000926 separation method Methods 0.000 description 3
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/005—General purpose rendering architectures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/10—Geometric effects
- G06T15/20—Perspective computation
- G06T15/205—Image-based rendering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention discloses an intelligent optimization energy-saving system based on unattended power distribution monitoring, which comprises a physical layer, a power distribution system and a power distribution system, wherein the physical layer is used for displaying the display positions of all power distribution entity devices and auxiliary entity devices of a target power distribution room and the connection relation among all entity devices; the image layer is used for displaying the monitoring video stream based on the physical layer and rendering to obtain a spherical panoramic monitoring image; the data layer is used for collecting state monitoring data of each power distribution entity device and auxiliary entity devices; and the service layer is used for predicting fault information of each power distribution entity device of the target power distribution room based on the state monitoring data and generating a visual prompt interface based on the spherical panoramic monitoring image and the fault information. According to the invention, based on the monitoring video stream of the physical layer, the spherical panoramic monitoring image is rendered and obtained, and the step of modeling the physical layer by utilizing a digital twin technology is reduced, so that each device in the target power distribution room is efficiently monitored.
Description
Technical Field
The invention relates to the technical field of monitoring of distribution rooms, in particular to an intelligent optimization energy-saving system based on unattended distribution monitoring.
Background
With the rapid development of power systems and the significant role of power distribution rooms therein, the need for condition monitoring within power distribution rooms has increased. Traditional monitoring methods in a power distribution room mainly depend on manual inspection and periodic maintenance, and cannot meet the requirements of a modern power system on efficient, accurate and real-time monitoring. Therefore, improving the accuracy and efficiency of monitoring the state of a power distribution room by using advanced technical means has become a popular research direction in the field of power systems.
The power distribution room is subjected to state monitoring and fault diagnosis, so that the safety and stability of a power system can be improved, the running cost can be reduced, the power distribution room has important practical application value, a digital twin technology is generally used for modeling and simulating a physical system in the prior art, real-time monitoring and predictive analysis are performed on the basis, the labor cost is saved, and the monitoring efficiency of the power distribution room is improved. However, the digital twin technology needs to create a virtual model based on the installation positions and connection relations of all target devices in the distribution room, which requires a lot of manpower and material resources.
Therefore, on the premise of saving manpower and material resources, the monitoring of the target power distribution room is more efficiently completed.
Disclosure of Invention
The invention aims to solve the problems and provide an intelligent optimization energy-saving system based on unattended power distribution monitoring, which is described in detail below.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the invention provides an intelligent optimization energy-saving system based on unattended power distribution monitoring, which comprises a physical layer, a power distribution system and a power distribution system, wherein the physical layer is used for displaying the display positions of all power distribution entity devices and auxiliary entity devices of a target power distribution room and the connection relation among all entity devices; the image layer is used for displaying the monitoring video stream based on the physical layer and rendering to obtain a spherical panoramic monitoring image; the data layer is used for collecting state monitoring data of each power distribution entity device and auxiliary entity devices; and the service layer is used for predicting fault information of each power distribution entity device of the target power distribution room based on the state monitoring data and generating a visual prompt interface based on the spherical panoramic monitoring image and the fault information.
Preferably, the physical layer includes image acquisition entity equipment, each distribution entity equipment of a target distribution room, a sensor entity and auxiliary entity equipment of the target distribution room.
Preferably, the image layer includes a spherical sphere touch screen and an image rendering controller.
Preferably, the image rendering controller includes: the mapping relation acquisition module is used for acquiring the mapping relation between the plane imaging surface in the optical lens and the sphere imaging surface in the sphere touch screen; the direction adjustment module is used for adjusting the direction data of each emergent ray based on the mapping relation; and the image generation module is used for transmitting the direction data of each adjusted emergent ray to a three-dimensional rendering engine so that the three-dimensional rendering engine can generate a spherical panoramic monitoring image based on the direction data.
Preferably, the service layer includes: the fault prediction module is used for acquiring a fault prediction result of the target power distribution equipment based on the state monitoring data of the target power distribution equipment and the fault diagnosis model; and the target position determining module is used for determining and marking target position information of the target power distribution equipment image in the spherical panoramic monitoring image based on the target power distribution equipment image and the spherical panoramic monitoring image.
Preferably, the image rendering controller further includes: the page data acquisition module is used for generating visual page data based on the target power distribution equipment and the corresponding fault prediction result; and the secondary rendering module is used for rendering a fault prediction page at the target position of the spherical panoramic monitoring image based on the target position information and the visual page data.
The beneficial effects are that: by adopting the intelligent optimization system for power distribution monitoring, the system comprises the physical layer, the image layer, the data layer and the service layer, monitoring on abnormal operation conditions of all power distribution entity equipment and auxiliary entity equipment in a target power distribution room is completed together, particularly in the prior art, modeling is carried out on all power distribution entity equipment and auxiliary entity equipment in the target power distribution room by utilizing a digital twin technology generally, a large amount of manpower and material resources are consumed for modeling all equipment in the target power distribution room, and in the embodiment of the application, based on a monitoring video stream of the physical layer, a spherical panoramic monitoring image is rendered and obtained, the step of modeling the physical layer by utilizing the digital twin technology is reduced, so that all equipment in the target power distribution room is monitored efficiently.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a power distribution monitoring intelligent optimization system of the present invention;
fig. 2 is a power distribution monitoring intelligent optimization method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, based on the examples herein, which are within the scope of the invention as defined by the claims, will be within the scope of the invention as defined by the claims.
Referring to fig. 1-2, the invention provides an intelligent optimization energy-saving system based on unattended power distribution monitoring, which comprises:
the physical layer is used for displaying the display positions of all the power distribution entity devices and auxiliary entity devices of the target power distribution room and the connection relation among all the entity devices;
the physical layer comprises image acquisition entity equipment, each power distribution entity equipment of a target power distribution room, a sensor entity and auxiliary entity equipment of the target power distribution room; the power distribution entity equipment in the target power distribution room comprises a transformer and a power distribution cabinet, and the auxiliary entity equipment comprises an air conditioner, a fan, a water pump, a dehumidifier and the like;
the physical layer shows the display position of each power distribution entity device and the connection relation between each power distribution entity device, and the display position of each auxiliary entity device and the connection relation between each device.
The image layer is used for displaying a monitoring video stream based on the physical layer and rendering to obtain a spherical panoramic monitoring image;
the monitoring video stream is acquired by a monitoring camera installed in a target power distribution room. The monitoring video stream comprises monitoring video streams of all angles of all distribution entity devices and auxiliary entity devices in a target distribution room, and a spherical panoramic monitoring image is formed when the monitoring video streams are rendered on a spherical monitoring screen.
The image layer includes a spherical ball touch screen and an image rendering controller.
The image rendering control arranged in the server firstly obtains the mapping relation between the plane imaging surface in the optical lens and the sphere imaging surface in the sphere touch screen; adjusting the direction data of each emergent ray based on the mapping relation; and transmitting the direction data of each adjusted emergent ray to a three-dimensional rendering engine so that the three-dimensional rendering engine generates a spherical panoramic monitoring image based on the direction data.
The data layer is used for collecting state monitoring data of each power distribution entity device and auxiliary entity devices;
and acquiring the values of key operation parameters of the transformer, the power distribution cabinet and the auxiliary equipment of the target power distribution room through the optical cable, and generating state monitoring data of each equipment in the target power distribution room according to the values of the key operation parameters.
And the service layer is used for predicting fault information of each power distribution entity device of the target power distribution room based on the state monitoring data and generating a visual prompt interface based on the spherical panoramic monitoring image and the fault information.
The server performs on-line safety monitoring and energy-saving analysis diagnosis according to the state monitoring data of each device transmitted by the data layer so as to ensure the safety of the whole power distribution room; when the potential critical abnormal information is monitored, the staff can be warned through a visual prompt interface.
In an alternative embodiment, since the fisheye spherical rendering model is similar to the panorama rendering model, the mapping relationship between the planar imaging in the monitoring optical lens to the sphere imaging surface in the sphere touch screen can be analyzed according to the fisheye spherical rendering model.
Specifically, the image rendering controller acquires the outgoing direction of each outgoing ray of the plane view point camera according to a ray tracing algorithm, and counts the range of the outgoing direction of the outgoing rays. The spherical panoramic rendering model adopts standard equipment coordinates to define an azimuth separation angle and a polar angle, wherein the azimuth separation angle and the viewing angle direction are measured anticlockwise and are positioned on an azimuth direction plane; the polar angle is positioned at an angle of upward rotation relative to a vertical plane of the azimuth direction plane, in the azimuth direction plane where the azimuth separation angle is positioned and the polar direction plane where the polar angle is positioned, when the object is in the distance range from the spherical viewpoint to the space point, the light rays respectively track in the two planes, and then the mapping relation between the plane imaging surface of the optical lens in the three-dimensional camera and the spherical imaging surface of the object in the virtual scene is established; adjusting the direction data of each emergent ray based on the mapping relation; and finally, transmitting the direction data of each adjusted emergent ray to a three-dimensional rendering engine so that the three-dimensional rendering engine generates a spherical panoramic monitoring image based on the direction data.
According to the image rendering control method, the image rendering control device and the system, the monitoring video stream acquired by the plane lens is converted into the spherical panoramic monitoring image, modeling according to each actual production and manufacturing device in a workshop on simulation software is avoided, and the efficiency of diagnosing and checking faults in the workshop is improved.
It will be appreciated that in fault diagnosis, fault and maintenance data for the same batch of equipment are processed to form a fault pattern and introduced into the initial model. In the running process, the data collected by the equipment are compared in real time, and similar fault modes are arranged for predicting faults. And fusing the equipment performance model and fault data in a digital space to generate a fault diagnosis model, so as to realize equipment fault prediction. There are various types of equipment faults, such as vibration faults, lubrication faults, etc.
In an alternative embodiment, the service layer further includes:
the fault prediction module is used for acquiring a fault prediction result of the target power distribution equipment based on the state monitoring data and the performance diagnosis model of the target power distribution equipment;
firstly, obtaining accurate component characteristics by dimension scaling of a physical layer, and then establishing a low-dimensional performance model by adopting components, wherein the model can be synchronously mapped with each device in the physical layer; the low-dimensional performance model is trained by using historical maintenance data to obtain a trained fault prediction model for fault diagnosis and maintenance.
Specifically, the state monitoring data of the target power distribution equipment is input into the performance diagnosis model, and a fault prediction result of the target power distribution equipment is obtained.
And the target position determining module is used for determining and marking target position information of the target distribution equipment image in the spherical panoramic monitoring image based on the target distribution equipment image and the spherical panoramic monitoring image.
Specifically, a target power distribution device image may be identified in a spherical panoramic monitoring image using a device identification network model.
The device identification network model may be comprised of a convolutional neural network model and a classification model. The convolutional neural network model is used for extracting deep image features in the identification region to be detected. The convolutional neural network model may be trained from various labeled sample device images. The classification model can be based on a single-class learning algorithm, and is also trained with various marked sample device images. Wherein the single class learning algorithm may be an OC-SVM model.
The server can carry out convolution and pooling operation on the region to be identified by utilizing a plurality of convolution layers in the GooGleNet V3 model, and then carry out weighting operation on the image feature graphs of different channels by utilizing an acceptance-V3 network module in the GooGleNet V3 model; and fusing the features on the basis of different sizes and different depths to obtain the depth image features in the identification area to be detected.
Specifically, the target distribution equipment image is input into the equipment recognition network model, and the target position information of the target distribution equipment image in the spherical panoramic monitoring image is determined and marked in the spherical panoramic monitoring image.
In the embodiment of the application, the position of the target equipment is automatically identified in the spherical panoramic monitoring image by using the equipment identification network model, so that the efficiency of diagnosing and checking faults of the equipment in the target power distribution room can be improved.
In an embodiment of the application, the image rendering controller further includes:
the page data acquisition module is used for generating visual page data based on the target power distribution equipment and the corresponding fault prediction result;
and generating visual page data based on the failure type of the target power distribution equipment when the target power distribution equipment is detected to generate failures.
And the secondary rendering module is used for rendering a fault prediction page at the target position of the spherical panoramic monitoring image based on the target position information and the visual page data.
In the embodiment of the application, the fault type of the failed target power distribution equipment is marked on the spherical panoramic monitoring image, so that the worker is prompted that the failed target power distribution equipment occurs.
In an embodiment of the application, an intelligent optimization method for power distribution monitoring is provided:
s1, acquiring a fault prediction result of target power distribution equipment based on state monitoring data and a fault diagnosis model of the target power distribution equipment;
firstly, obtaining accurate component characteristics by dimension scaling of a physical layer, and then establishing a low-dimensional performance model by adopting components, wherein the model can be synchronously mapped with each device in the physical layer; the low-dimensional performance model is trained by using historical maintenance data to obtain a trained fault prediction model for fault diagnosis and maintenance. Specifically, the server inputs state monitoring data of the target power distribution equipment into the performance diagnosis model, and obtains a fault prediction result of the target power distribution equipment.
S2, determining and marking target position information of the target distribution equipment image in the spherical panoramic monitoring image based on the target distribution equipment image and the spherical panoramic monitoring image;
specifically, a target power distribution device image may be identified in a spherical panoramic monitoring image using a device identification network model. The device identification network model may be comprised of a convolutional neural network model and a classification model. The convolutional neural network model is used for extracting deep image features in the identification region to be detected. The convolutional neural network model may be trained from various labeled sample device images. The classification model can be based on a single-class learning algorithm, and is also trained with various marked sample device images. Wherein the single class learning algorithm may be an OC-SVM model.
Specifically, the target distribution equipment image is input into the equipment recognition network model, and the target position information of the target distribution equipment image in the spherical panoramic monitoring image is determined and marked in the spherical panoramic monitoring image.
S3, generating visual page data based on the target power distribution equipment and a corresponding fault prediction result thereof;
specifically, when a failure of the target power distribution device is detected, visual page data is generated based on the type of failure of the target power distribution device.
And S4, rendering a fault prediction page at the target position of the spherical panoramic monitoring image based on the target position information and the visualized page data.
By adopting the intelligent optimization method for power distribution monitoring to monitor abnormal operation conditions of all power distribution entity equipment and auxiliary entity equipment in the target power distribution room, particularly, in the prior art, modeling is usually carried out on all power distribution entity equipment and auxiliary entity equipment in the target power distribution room by utilizing a digital twin technology, a large amount of manpower and material resources are consumed to model all equipment in the target power distribution room, but in the embodiment of the application, a spherical panoramic monitoring image is rendered and obtained based on a monitoring video stream of a physical layer, the step of modeling the physical layer by utilizing the digital twin technology is reduced, and therefore all equipment in the target power distribution room is monitored efficiently.
It should be noted that in this application, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is merely a specific embodiment of the application to enable one skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. An intelligent optimization energy saving system based on unattended power distribution monitoring, characterized in that the system comprises:
the physical layer is used for displaying the display positions of all the power distribution entity devices and auxiliary entity devices of the target power distribution room and the connection relation among all the entity devices;
the image layer is used for displaying the monitoring video stream based on the physical layer and rendering to obtain a spherical panoramic monitoring image;
the data layer is used for collecting state monitoring data of each power distribution entity device and auxiliary entity devices;
and the service layer is used for predicting fault information of each power distribution entity device of the target power distribution room based on the state monitoring data and generating a visual prompt interface based on the spherical panoramic monitoring image and the fault information.
2. The intelligent optimal energy saving system based on unattended power distribution monitoring according to claim 1, wherein the physical layer comprises image acquisition entity equipment, each power distribution entity equipment of a target power distribution room, a sensor entity and auxiliary entity equipment of the target power distribution room.
3. The intelligent optimal energy saving system based on unattended power distribution monitoring according to claim 1, wherein the image layer comprises a spherical sphere touch screen and an image rendering controller.
4. An intelligent optimization energy saving system based on unattended power distribution monitoring according to claim 3, wherein: the image rendering controller comprises:
the mapping relation acquisition module is used for acquiring the mapping relation between the plane imaging surface in the optical lens and the sphere imaging surface in the sphere touch screen;
the direction adjustment module is used for adjusting the direction data of each emergent ray based on the mapping relation;
and the image generation module is used for transmitting the direction data of each adjusted emergent ray to a three-dimensional rendering engine so that the three-dimensional rendering engine can generate a spherical panoramic monitoring image based on the direction data.
5. The intelligent optimization energy-saving system based on unattended power distribution monitoring according to claim 1, wherein: the service layer comprises:
the fault prediction module is used for acquiring a fault prediction result of the target power distribution equipment based on the state monitoring data of the target power distribution equipment and the fault diagnosis model;
and the target position determining module is used for determining and marking target position information of the target power distribution equipment image in the spherical panoramic monitoring image based on the target power distribution equipment image and the spherical panoramic monitoring image.
6. The intelligent optimization energy-saving system based on unattended power distribution monitoring according to claim 5, wherein: the image rendering controller further comprises:
the page data acquisition module is used for generating visual page data based on the target power distribution equipment and the corresponding fault prediction result;
and the secondary rendering module is used for rendering a fault prediction page at the target position of the spherical panoramic monitoring image based on the target position information and the visual page data.
7. An intelligent optimization method for power distribution monitoring, which is characterized by comprising the following steps:
acquiring a fault prediction result of target power distribution equipment based on state monitoring data of the target power distribution equipment and a fault diagnosis model;
determining and marking target position information of the target power distribution equipment image in the spherical panoramic monitoring image based on the target power distribution equipment image and the spherical panoramic monitoring image;
generating visual page data based on the target power distribution equipment and a corresponding fault prediction result thereof;
and rendering a fault prediction page at a target position of the spherical panoramic monitoring image based on the target position information and the visual page data.
8. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method of claim 7 when executing the computer program.
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| CN202311568600.3A CN117559652A (en) | 2023-11-21 | 2023-11-21 | Intelligent optimization energy-saving system based on unmanned on duty distribution monitoring |
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| CN202311568600.3A CN117559652A (en) | 2023-11-21 | 2023-11-21 | Intelligent optimization energy-saving system based on unmanned on duty distribution monitoring |
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