CN115981212A - Intelligent control method and system for electric power instrument - Google Patents
Intelligent control method and system for electric power instrument Download PDFInfo
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Abstract
The invention provides an intelligent control method and system for an electric power instrument, and relates to the field of electronic equipment instruments. An intelligent control method of an electric power instrument comprises the steps of collecting historical switch data when an electric power device is switched on and switched off, wherein the historical switch data comprises switch operation data, sensor switch detection data and instrument panel switch image data; analyzing a control delay time of the power equipment through the switch operation data and the sensor switch detection data; analyzing display delay time of the power equipment through instrument panel switch image data and sensor switch detection data; adjusting the operation data input by the power equipment in real time according to the control delay time, and then controlling the power equipment in real time; and adjusting the sensor operation detection data detected by the power equipment in real time according to the display delay time, and feeding the data back to the instrument panel display end of the power equipment. The invention can calibrate the instrument panel, realize intelligent control of equipment and improve the productivity.
Description
Technical Field
The invention relates to the field of electronic equipment instruments, in particular to an intelligent control method and system for an electric power instrument.
Background
At present, high-precision electric power instruments and meters such as single-three phase multifunctional standard electric energy meters, single-three phase on-site calibration meters and the like are widely used measuring instruments of an electric power system, and due to the fact that the instruments are high in measuring precision and multiple in measuring range, the calibration process is complex. The traditional manual calibration method depends on the visual standard value of an adjuster, the standard value is issued to a table to be adjusted, after errors are compared, a corrected value is obtained, repeated calibration is carried out, the manual calibration method is low in calibration efficiency, low in calibration precision and long in calibration period, and therefore power equipment cannot be accurately controlled according to actual data, and productivity is reduced.
Disclosure of Invention
The invention aims to provide an intelligent control method for an electric power instrument, which can calibrate an instrument panel, realize intelligent control of equipment and improve productivity.
Another object of the present invention is to provide an intelligent control system for an electric power meter, which can calibrate an instrument panel, and realize intelligent control of equipment, thereby improving productivity.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides an intelligent control method for an electric power meter, which includes the steps of collecting historical switch data during switching on and off of an electric power device, where the historical switch data includes switch operation data, sensor switch detection data, and instrument panel switch image data; analyzing a control delay time of the power equipment through the switch operation data and the sensor switch detection data; analyzing display delay time of the power equipment through the instrument panel switch image data and the sensor switch detection data; adjusting the operation data input by the power equipment in real time according to the control delay time, and then controlling the power equipment in real time; adjusting the sensor operation detection data detected by the power equipment in real time according to the display delay time, and feeding back the data to an instrument panel display end of the power equipment; collecting multiple groups of operation control data of the power equipment, wherein each group of operation control data comprises the operation detection data of the sensor, the operation data and the instrument panel operation image data; a plurality of groups of the operation control data are trained through machine learning to obtain an equipment control training model, and the equipment control training model is used for outputting the operation data of the data to be tested; the data to be tested is the sensor operation detection data and the dial plate operation image data acquired by the power equipment in real time; and controlling the power equipment in real time through the running operation data output by the equipment control training model.
In some embodiments of the present invention, the input times of the plurality of items of control data are acquired by the switch operation data, and the change times of the plurality of items of sensing data are acquired by the sensor switch detection data; each item of the control data is matched with at least one item of the sensing data, and the control delay time of each item of the control data is calculated when the change time of each item of the sensing data is later than the input time corresponding to one item of the control data.
In some embodiments of the present invention, the sensor operation detection data includes a plurality of items of the sensor data detected when the power equipment operates; and obtaining delayed actual detection data of the plurality of items of sensing data according to the control delay time of the plurality of items of control data, adjusting the plurality of items of control data according to the plurality of items of actual detection data to obtain actual operation data, and controlling the power equipment according to the actual operation data.
In some embodiments of the present invention, the time of change of a plurality of display data is obtained through the image data of the dashboard switch, and the time of detection of a plurality of sensing data is obtained through the detection data of the sensor switch; each item of the display data is matched with at least one item of the sensing data, and when the detection time of each item of the display data is later than the change time corresponding to at least one item of the sensing data, the display delay time of each item of the display data is respectively calculated.
In some embodiments of the present invention, actual detection data of each item of the sensing data is obtained according to the display delay time of each item of the display data, and the actual detection data is fed back to an instrument panel display end, so that the instrument panel display end displays the instrument panel switch image data.
In some embodiments of the present invention, the actual detection data is synchronized to an apparatus operation end, and the apparatus operation end is configured to input the operation data.
In a second aspect, an embodiment of the present application provides an intelligent control system for an electric power meter, which includes an equipment switch acquisition module: collecting historical switch data when the power equipment is switched on and switched off, wherein the historical switch data comprises switch operation data, sensor switch detection data and instrument panel switch image data; an operational delay analysis module: analyzing a control delay time of the power equipment through the switch operation data and the sensor switch detection data; a display delay analysis module: analyzing display delay time of the power equipment through the instrument panel switch image data and the sensor switch detection data; the equipment real-time control module: adjusting the operation data input by the power equipment in real time according to the control delay time, and then controlling the power equipment in real time; the display data adjusting module: adjusting the sensor operation detection data detected by the power equipment in real time according to the display delay time, and feeding back the data to an instrument panel display end of the power equipment; the operation data adjusting module: adjusting the operation data input by the power equipment in real time according to the control delay time, and then controlling the power equipment in real time; a training data acquisition module: collecting multiple groups of operation control data of power equipment, wherein each group of operation control data comprises the operation detection data of the sensor, the operation data and the instrument panel operation image data; an equipment model training module: a plurality of groups of the operation control data are trained through machine learning to obtain an equipment control training model, and the equipment control training model is used for outputting the operation data of the data to be tested; equipment intelligent control module: the data to be tested are the sensor operation detection data and the dial plate operation image data acquired by the power equipment in real time; and controlling the power equipment in real time through the operation data output by the equipment control training model.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
with respect to the first to second aspects: the method comprises the steps of collecting historical switch data of the power equipment during switching on and switching off, wherein the historical switch data comprises switch operation data, sensor switch detection data and instrument panel switch image data; thereby analyzing a control delay time when the control device is operated by the switch operation data and the sensor switch detection data; then analyzing the display delay time of the instrument panel through the image data of the instrument panel switch and the detection data of the sensor switch; when an operator inputs operation data control equipment in real time, the operation data is adjusted according to the control delay time, so that the power equipment is controlled according to the estimation result of the detection data of the sensor; after the power equipment is controlled, the running detection data of the sensor of the power equipment during running is detected in real time, the running detection data of the sensor is adjusted according to the display delay time and is fed back to a display end of a dashboard of the power equipment, so that the time difference of the dashboard is calibrated, and the real-time display of the real-time detection data is convenient for an operator to check and accurately control the equipment; collecting multiple groups of operation control data of the power equipment, wherein each group of operation control data comprises sensor operation detection data, operation data and instrument panel operation image data; the equipment control training model is used for outputting operation data of the data to be tested, and accurate operation control data are obtained by using historical experience data; the operation detection data of the sensor and the operation image data of the dial plate are acquired in real time as to-be-tested data when the power equipment operates, and the operation data output by the equipment control training model is used for controlling the power equipment in real time, so that the intelligent control of the power equipment is realized, and the operation productivity is improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a flowchart of an intelligent control method for an electric power meter according to embodiment 1 of the present invention;
FIG. 2 is a training flowchart of an apparatus control training model according to embodiment 1 of the present invention;
fig. 3 is a flowchart of adjusting the instrument panel in embodiment 1 of the present invention;
fig. 4 is a schematic diagram of an intelligent control system of an electric power meter according to embodiment 2 of the present invention;
fig. 5 is a schematic diagram of an electronic device according to embodiment 3 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Example 1
Referring to fig. 1 to 3, fig. 1 to 3 are schematic diagrams illustrating an intelligent control method for an electric power meter according to an embodiment of the present application. The intelligent control method of the power instrument comprises the following steps of collecting historical switch data when the power equipment is switched on and switched off, wherein the historical switch data comprises switch operation data, sensor switch detection data and instrument panel switch image data; analyzing a control delay time of the power equipment through the switch operation data and the sensor switch detection data; analyzing the display delay time of the power equipment through the instrument panel switch image data and the sensor switch detection data; adjusting the operation data input by the power equipment in real time according to the control delay time, and then controlling the power equipment in real time; adjusting the sensor operation detection data detected by the power equipment in real time according to the display delay time, and feeding back the data to an instrument panel display end of the power equipment; collecting multiple groups of operation control data of power equipment, wherein each group of operation control data comprises the operation detection data of the sensor, the operation data and the instrument panel operation image data; a plurality of groups of the operation control data are trained through machine learning to obtain an equipment control training model, and the equipment control training model is used for outputting the operation data of the data to be tested; the data to be tested are the sensor operation detection data and the dial plate operation image data acquired by the power equipment in real time; and controlling the power equipment in real time through the running operation data output by the equipment control training model.
The method comprises the steps of collecting historical switching data of the power equipment during switching on and switching off, wherein the historical switching data comprises switching operation data, sensor switching detection data and instrument panel switching image data; thereby analyzing a control delay time when the control device is operated to be turned on and off through the switching operation data and the sensor switch detection data; then analyzing the display delay time of the instrument panel through the image data of the instrument panel switch and the detection data of the sensor switch; when an operator inputs operation data control equipment in real time, the operation data is adjusted according to the control delay time, so that the power equipment is controlled according to the estimation result of the detection data of the sensor; after the power equipment is controlled, the running detection data of the sensor of the power equipment during running is detected in real time, the running detection data of the sensor is adjusted according to the display delay time and is fed back to a display end of a dashboard of the power equipment, so that the time difference calibration of the dashboard is realized, and the equipment is accurately controlled after being checked by an operator through the real-time display of the real-time detection data; collecting multiple groups of operation control data of the power equipment, wherein each group of operation control data comprises sensor operation detection data, operation data and instrument panel operation image data; the equipment control training model is used for outputting operation data of the data to be tested, and accurate operation control data are obtained by using historical experience data; the operation detection data of the sensor and the operation image data of the dial plate are acquired in real time as to-be-tested data when the power equipment operates, and the operation data output by the equipment control training model is used for controlling the power equipment in real time, so that the intelligent control of the power equipment is realized, and the operation productivity is improved.
In some embodiments of the present invention, the input times of the plurality of items of control data are acquired by the switch operation data, and the change times of the plurality of items of sensing data are acquired by the sensor switch detection data; each item of the control data is matched with at least one item of the sensing data, and the control delay time of each item of the control data is calculated when the change time of each item of the sensing data is later than the input time corresponding to one item of the control data.
The input time of a plurality of items of control data is acquired through the switch operation data, and the change time of a plurality of items of sensing data during the data acquisition operation is detected through the sensor switch, so that the time difference calibration is carried out on the operation feedback according to the actual operation of the equipment. The plurality of items of control data may be operations on a plurality of components of the power equipment, and the plurality of sensors may correspond to the plurality of components. The input time of the operation data is operation sending time, and the change time of the sensing data is operation feedback time. And associating each item of control data with at least one item of sensing data, so that when the sensing data is later than the input time of the corresponding operation data, the control delay time of each item of operation is calculated, and then the control operation is adjusted by using the control delay time, thereby improving the accuracy of equipment operation.
In some embodiments of the present invention, the sensor operation detection data includes a plurality of items of the sensor data detected when the power equipment operates; and obtaining delayed actual detection data of the plurality of items of sensing data according to the control delay time of the plurality of items of control data, adjusting the plurality of items of control data according to the plurality of items of actual detection data to obtain actual operation data, and controlling the power equipment according to the actual operation data.
The actual operation of the detection equipment when the power equipment operates obtains multiple items of sensing data, the actual detection data of the current various items of sensing data is obtained according to the control delay time when the operation is initiated, so that the multiple items of control data are adjusted through the actual detection data to obtain the actual operation data, the actual operation data is used for controlling the power equipment to achieve the actual operation purpose of operators, and the equipment control accuracy is improved.
In some embodiments of the present invention, the time of change of a plurality of display data is obtained through the image data of the dashboard switch, and the time of detection of a plurality of sensing data is obtained through the detection data of the sensor switch; each item of the display data is matched with at least one item of the sensing data, and when the detection time of each item of the display data is later than the change time corresponding to at least one item of the sensing data, the display delay time of each item of the display data is respectively calculated.
The instrument panel switch image data can obtain the change time of a plurality of items of display data through image identification, the sensor switch detection data can obtain the detection time of a plurality of items of sensing data through electronic signals, and the display data is associated with one or more items of sensing data, so that when any item of display data is later than the change time of the corresponding one or more items of sensing data, the display delay time is calculated according to the time that the display data is later than the sensing data. When the sensing data corresponding to the display data are multiple items, the change time of the multiple items of sensing time is basically consistent, so that the difference between the change time of one item of sensing data and the detection time can be used for calculation.
In some embodiments of the present invention, actual detection data of each item of the sensing data is obtained according to the display delay time of a plurality of items of the display data, and the actual detection data is fed back to an instrument panel display end, so that the instrument panel display end displays the instrument panel switch image data.
And obtaining the display delay time of each item of the display data, obtaining actual detection data corresponding to one or more items of sensing data, converting a plurality of items of actual detection data of a current sensor into instrument panel switch image data according to the corresponding display data, and displaying through an instrument panel display end. The display time difference of the detection data is adjusted, and the real-time calibration of the instrument panel display data is realized by controlling the delay time in the operation process of the equipment. The instrument panel can be arranged in a plurality of ways corresponding to different types of data. The process of displaying after data conversion includes that a plurality of actual monitoring data are converted into corresponding display data, and the display data are analyzed to obtain instrument panel switch image data, so that an instrument panel is controlled to display through the instrument panel switch image data, and the method belongs to the prior art and is not limited specifically herein.
In some embodiments of the present invention, the actual detection data is synchronized to an apparatus operation end, and the apparatus operation end is configured to input the operation data. And synchronizing actual detection data to an equipment operation end, such as a server or a mobile end, so that an operator can conveniently check the equipment condition and perform manual control.
Example 2
Referring to fig. 4, fig. 4 is a schematic view of an intelligent control system of an electric power meter according to an embodiment of the present application. Electric power instrument intelligence control system, it includes, equipment switch collection module: collecting historical switch data when the power equipment is switched on and switched off, wherein the historical switch data comprises switch operation data, sensor switch detection data and instrument panel switch image data; an operational delay analysis module: analyzing a control delay time of the power equipment through the switch operation data and the sensor switch detection data; a display delay analysis module: analyzing the display delay time of the power equipment through the instrument panel switch image data and the sensor switch detection data; the equipment real-time control module: adjusting the operation data input by the power equipment in real time according to the control delay time, and then controlling the power equipment in real time; the display data adjusting module: adjusting the sensor operation detection data detected by the power equipment in real time according to the display delay time, and feeding back the data to an instrument panel display end of the power equipment; the operation data adjusting module: adjusting the operation data input by the power equipment in real time according to the control delay time, and then controlling the power equipment in real time; a training data acquisition module: collecting multiple groups of operation control data of the power equipment, wherein each group of operation control data comprises the operation detection data of the sensor, the operation data and the instrument panel operation image data; an equipment model training module: a plurality of groups of the operation control data are trained through machine learning to obtain an equipment control training model, and the equipment control training model is used for outputting the operation data of the data to be tested; equipment intelligent control module: the data to be tested are the sensor operation detection data and the dial plate operation image data acquired by the power equipment in real time; and controlling the power equipment in real time through the running operation data output by the equipment control training model.
The principle of the embodiment of the present application is the same as that of embodiment 1, and a repeated description thereof will not be provided. It will be appreciated that the configuration shown in fig. 4 is merely illustrative and that the power meter smart control system may also include more or fewer components than shown in fig. 4, or have a different configuration than that shown in fig. 4. The components shown in fig. 4 may be implemented in hardware, software, or a combination thereof.
Example 3
Referring to fig. 5, fig. 5 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, such as program instructions/modules corresponding to the intelligent control system of the power meter provided in embodiment 2 of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, so as to execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above methods according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
To sum up, the embodiment of the present application provides an intelligent control method and system for an electric power meter:
the method comprises the steps of collecting historical switch data of the power equipment during switching on and switching off, wherein the historical switch data comprises switch operation data, sensor switch detection data and instrument panel switch image data; thereby analyzing a control delay time when the control device is operated by the switch operation data and the sensor switch detection data; then analyzing the display delay time of the instrument panel through the image data of the instrument panel switch and the detection data of the sensor switch; when an operator inputs operation data control equipment in real time, the operation data is adjusted according to the control delay time, so that the power equipment is controlled according to the estimation result of the detection data of the sensor; after the power equipment is controlled, the running detection data of the sensor of the power equipment during running is detected in real time, the running detection data of the sensor is adjusted according to the display delay time and is fed back to a display end of a dashboard of the power equipment, so that the time difference of the dashboard is calibrated, and the real-time display of the real-time detection data is convenient for an operator to check and accurately control the equipment; collecting multiple groups of operation control data of the power equipment, wherein each group of operation control data comprises sensor operation detection data, operation data and instrument panel operation image data; the equipment control training model is used for outputting operation data of the data to be tested, and accurate operation control data are obtained by using historical experience data; the operation detection data of the sensor and the operation image data of the dial plate are acquired in real time as to-be-tested data when the power equipment operates, and the operation data output by the equipment control training model is used for controlling the power equipment in real time, so that the intelligent control of the power equipment is realized, and the operation productivity is improved.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (7)
1. An intelligent control method of an electric power meter is characterized by comprising the following steps,
collecting historical switch data when the power equipment is switched on and switched off, wherein the historical switch data comprises switch operation data, sensor switch detection data and instrument panel switch image data;
analyzing a control delay time of the power equipment through the switch operation data and the sensor switch detection data;
analyzing display delay time of the power equipment through the instrument panel switch image data and the sensor switch detection data;
adjusting the operation data input by the power equipment in real time according to the control delay time, and then controlling the power equipment in real time;
adjusting sensor operation detection data detected by the power equipment in real time according to the display delay time, and feeding back the data to an instrument panel display end of the power equipment;
collecting multiple groups of operation control data of power equipment, wherein each group of operation control data comprises sensor operation detection data, operation data and instrument panel operation image data;
obtaining an equipment control training model by the aid of the multiple groups of running control data through machine learning training, wherein the equipment control training model is used for outputting the running operation data of the data to be tested;
the data to be tested are the sensor operation detection data and the dial plate operation image data acquired by the power equipment in real time; and controlling the power equipment in real time through the running operation data output by the equipment control training model.
2. The intelligent control method of the electric power meter according to claim 1, wherein the input time of a plurality of items of control data is acquired by the switch operation data, and the change time of a plurality of items of sensing data is acquired by the sensor switch detection data; each item of the control data is matched with at least one item of the sensing data, and when the change time of each item of the sensing data is later than the input time corresponding to one item of the control data, the control delay time of each item of the control data is calculated.
3. The intelligent control method for the electric power meter, according to claim 2, is characterized in that the sensor operation detection data comprises a plurality of items of the sensing data detected when the electric power equipment operates; and obtaining delayed actual detection data of the plurality of items of sensing data according to the control delay time of the plurality of items of control data, adjusting the plurality of items of control data according to the plurality of items of actual detection data to obtain actual operation data, and controlling the power equipment according to the actual operation data.
4. The intelligent control method of the electric power meter according to claim 1, wherein the image data of the instrument panel switch is used for acquiring the change time of a plurality of display data, and the detection data of the sensor switch is used for acquiring the detection time of a plurality of sensing data; and each item of display data is matched with at least one item of sensing data, and when the detection time of each item of display data is later than the change time corresponding to at least one item of sensing data, the display delay time of each item of display data is respectively calculated.
5. The intelligent control method of the electric power instrument as claimed in claim 4, wherein actual detection data of each item of the sensing data is obtained according to the display delay time of each item of the display data, and the actual detection data is fed back to an instrument panel display end to allow the instrument panel display end to display the instrument panel switch image data.
6. The intelligent control method for the electric power meter as claimed in claim 5, wherein the actual detection data is synchronized to an equipment operation terminal, and the equipment operation terminal is used for inputting the operation data.
7. An intelligent control system of an electric power instrument is characterized by comprising,
the equipment switch acquisition module: collecting historical switch data when the power equipment is switched on and switched off, wherein the historical switch data comprises switch operation data, sensor switch detection data and instrument panel switch image data;
an operational delay analysis module: analyzing a control delay time of the power equipment through the switch operation data and the sensor switch detection data;
a display delay analysis module: analyzing a display delay time of the power equipment through the instrument panel switch image data and the sensor switch detection data;
the equipment real-time control module: adjusting the operation data input by the power equipment in real time according to the control delay time, and then controlling the power equipment in real time;
the display data adjusting module: adjusting sensor operation detection data detected by the power equipment in real time according to the display delay time, and feeding the data back to an instrument panel display end of the power equipment;
the operation data adjusting module: adjusting the operation data input by the power equipment in real time according to the control delay time, and then controlling the power equipment in real time;
a training data acquisition module: collecting multiple groups of operation control data of the power equipment, wherein each group of operation control data comprises the operation detection data of the sensor, the operation data and the operation image data of the instrument panel;
an equipment model training module: obtaining an equipment control training model by the multiple groups of operation control data through machine learning training, wherein the equipment control training model is used for outputting the operation data of the data to be tested;
equipment intelligent control module: the data to be tested is the sensor operation detection data and the dial plate operation image data acquired by the power equipment in real time; and controlling the power equipment in real time through the running operation data output by the equipment control training model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310077445.9A CN115981212A (en) | 2023-01-30 | 2023-01-30 | Intelligent control method and system for electric power instrument |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310077445.9A CN115981212A (en) | 2023-01-30 | 2023-01-30 | Intelligent control method and system for electric power instrument |
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| CN115981212A true CN115981212A (en) | 2023-04-18 |
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| CN202310077445.9A Withdrawn CN115981212A (en) | 2023-01-30 | 2023-01-30 | Intelligent control method and system for electric power instrument |
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- 2023-01-30 CN CN202310077445.9A patent/CN115981212A/en not_active Withdrawn
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