CN115942563A - Intelligent operation and maintenance cloud platform system and control method thereof - Google Patents
Intelligent operation and maintenance cloud platform system and control method thereof Download PDFInfo
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Abstract
The invention discloses an intelligent operation and maintenance cloud platform system and a control method thereof, wherein the intelligent operation and maintenance cloud platform system comprises an operation and maintenance data acquisition module, a decision variable coefficient module and an object state judgment module; the data that is relevant with equipment that acquires through the collection to and the data of environment carry out the health safety judgement of equipment, can realize carrying out convenient supervisory control through basic public facilities such as current monitoring device cooperation sensing equipment in to the regional street lamp, discovery problem that can the very first time and inform to the external world through the system, changed among the prior art through artifical the problem equipment discovery mode of patrolling and examining or user's equipment report.
Description
Technical Field
The invention relates to the field related to intelligent operation and maintenance management, in particular to an intelligent operation and maintenance cloud platform system and a control method thereof.
Background
With the rapid development of the technology, more and more equipment groups gradually get rid of the traditional manual inspection mode, and an intelligent operation and maintenance monitoring platform is adopted to manage, control and monitor the equipment.
However, for some infrastructure of public places, for example, devices such as street lamps on roads, intelligent monitoring is difficult, and if intelligent monitoring is desired, intelligent upgrading of the devices is required, and a large amount of cost investment is not suitable for actual implementation.
Disclosure of Invention
The invention aims to provide an intelligent operation and maintenance cloud platform system and a control method thereof, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent operation and maintenance cloud platform system, comprising:
the operation and maintenance data acquisition module is used for receiving terminal acquisition data from a plurality of operation and maintenance terminals at preset time intervals and acquiring current meteorological environment data through the cloud server, wherein the terminal acquisition data comprise monitoring image data and environment sensing data, and the environment sensing data are used for representing the acquisition illumination intensity in a current acquisition target and the acquisition meteorological state;
the decision variable acquisition module is used for analyzing the current time and the environmental meteorological state through a preset environmental illumination model to generate the current environmental illumination intensity and generating artificial illumination intensity based on the difference value between the acquired illumination intensity and the environmental illumination intensity, and the environmental illumination model is used for representing different meteorological environment data and the mapping relation between different time points and the environmental illumination intensity;
the system comprises a decision variable coefficient module, a light attenuation coefficient module and a light source module, wherein the decision variable coefficient module is used for acquiring an attenuation coefficient of an artificial light intensity acquired by an operation and maintenance terminal sensor through a preset light attenuation coefficient model based on meteorological environment data at the current moment and position information of the operation and maintenance terminal, calculating based on the attenuation coefficient and the artificial light intensity, and generating actual output light intensity before attenuation, and the light attenuation coefficient model is used for representing the reduction rule of different meteorological environments on the intensity in the light transmission process;
and the object state judgment module is used for acquiring theoretical output illumination intensity based on preset power input intensity and street lamp conversion efficiency, acquiring an output difference value based on the actual output illumination intensity, and generating a maintenance notification signal if the output difference value exceeds a preset error range, wherein the maintenance notification signal is used for representing that abnormal objects exist in a plurality of street lamps in the area.
As a further scheme of the invention: still include the object orientation module, specifically include:
the image partitioning unit is used for acquiring monitoring image data when the output difference value exceeds a preset error range, and carrying out corresponding to the monitoring image based on a preset street lamp setting position so as to further carry out multiple region partitioning on the monitoring image, wherein each region corresponds to a street lamp;
the regional metering unit is used for acquiring metering data of each monitoring region based on the monitoring image data, and the metering data is used for representing regional illumination data acquired through the monitoring image data;
and the object judging unit is used for judging the photometric data of the areas based on the distance relationship between the areas and the operation and maintenance terminal, and if the photometric data of the areas and the distance relationship between the areas cannot correspond to the illumination attenuation coefficient model, marking a maintenance notification signal for the street lamps in the areas.
As a further scheme of the invention: the system also comprises a meteorological matching deviation module;
the meteorological coincidence deviation module is used for acquiring current meteorological environment data, performing curve fitting on the current meteorological environment data according to the collected meteorological states to generate predicted meteorological environment data after fitting, and fitting the current meteorological environment data through the meteorological environment data which can be collected in real time to judge the actual state of partial meteorological environment data which cannot be collected in real time.
As a further scheme of the invention: still include terminal self-checking module, include:
and the fault determination unit is used for generating and outputting a fault maintenance signal when the monitoring image data cannot be acquired at preset time intervals, wherein the fault maintenance signal is used for representing that the operation and maintenance terminal has an abnormal state.
As a further scheme of the invention: the terminal self-checking module further comprises:
and the fault self-detection unit is used for acquiring multiple groups of historical monitoring image data consistent with the currently acquired illumination intensity in a preset daytime, judging the variation trend of the photometric data based on the multiple groups of historical monitoring image data, generating feedback data and outputting the feedback data.
The embodiment of the invention aims to provide an intelligent operation and maintenance cloud platform control method, which comprises the following steps:
receiving terminal acquisition data from a plurality of operation and maintenance terminals at preset time intervals, and acquiring current meteorological environment data through a cloud server, wherein the terminal acquisition data comprise monitoring image data and environment sensing data, and the environment sensing data are used for representing the acquisition illumination intensity and the acquisition meteorological state in a current acquisition target;
analyzing the current time and the environmental meteorological state through a preset environmental illumination model to generate the current environmental illumination intensity, and generating artificial illumination intensity based on the difference value between the collected illumination intensity and the environmental illumination intensity, wherein the environmental illumination model is used for representing different meteorological environment data and the mapping relation between different time points and the environmental illumination intensity;
acquiring an attenuation coefficient of the artificial illumination intensity in the process of being acquired by an operation and maintenance terminal sensor through a preset illumination attenuation coefficient model based on the meteorological environment data at the current moment and the position information of the operation and maintenance terminal, calculating based on the attenuation coefficient and the artificial illumination intensity, and generating actual output illumination intensity before attenuation, wherein the illumination attenuation coefficient model is used for representing the attenuation rule of different meteorological environments on the intensity in the light propagation process;
obtaining theoretical output illumination intensity based on preset power input intensity and street lamp conversion efficiency, obtaining an output difference value based on the actual output illumination intensity, and generating a maintenance informing signal if the output difference value exceeds a preset error range, wherein the maintenance informing signal is used for representing that abnormal objects exist in a plurality of street lamps in the area.
As a further scheme of the invention: further comprising the steps of:
when the output difference value exceeds a preset error range, acquiring monitoring image data, and carrying out corresponding to the monitoring image based on a preset street lamp setting position so as to divide the monitoring image into a plurality of areas, wherein each area corresponds to a street lamp;
acquiring photometric data of each monitoring area based on the monitoring image data, wherein the photometric data is used for representing area illumination data acquired through the monitoring image data;
and judging photometric data of the areas based on the distance relationship between the areas and the operation and maintenance terminal, and if the distance relationship between the photometric data of the areas and the areas cannot correspond to the illumination attenuation coefficient model, marking a maintenance notification signal for the street lamps in the areas.
As a further scheme of the invention: further comprising the steps of:
acquiring current meteorological environment data, performing curve fitting on the current meteorological environment data according to the acquired meteorological state, and generating fitted predicted meteorological environment data, wherein the curve fitting is used for fitting the current meteorological environment data through the meteorological environment data which can be acquired in real time so as to judge the actual state of partial meteorological environment data which cannot be acquired in real time.
As a further scheme of the invention: further comprising the steps of:
when the monitoring image data cannot be acquired at preset time intervals, a fault maintenance signal is generated and output, and the fault maintenance signal is used for representing that the operation and maintenance terminal has an abnormal state.
As a further scheme of the invention: further comprising the steps of:
and acquiring multiple groups of historical monitoring image data consistent with the currently acquired illumination intensity in a preset daytime, judging the variation trend of the photometric data based on the multiple groups of historical monitoring image data, generating feedback data and outputting the feedback data.
Compared with the prior art, the invention has the beneficial effects that: the data that is relevant with equipment that acquires through the collection to and the data of environment carry out the health safety judgement of equipment, can realize carrying out convenient supervisory control through basic public facilities such as current monitoring device cooperation sensing equipment in to the regional street lamp, discovery problem that can the very first time and inform to the external world through the system, changed among the prior art through artifical the problem equipment discovery mode of patrolling and examining or user's equipment report.
Drawings
Fig. 1 is a block diagram of an intelligent operation and maintenance cloud platform system.
Fig. 2 is a block diagram of an object positioning module in the intelligent operation and maintenance cloud platform system.
Fig. 3 is a flow chart of an intelligent operation and maintenance cloud platform control method.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The following detailed description of specific embodiments of the present invention is provided in connection with specific embodiments.
As shown in fig. 1, an intelligent operation and maintenance cloud platform system provided for an embodiment of the present invention includes the following steps:
the operation and maintenance data acquisition module 100 is used for receiving terminal acquisition data from a plurality of operation and maintenance terminals at preset time intervals, acquiring current meteorological environment data through a cloud server, wherein the terminal acquisition data comprise monitoring image data and environment sensing data, and the environment sensing data are used for representing the acquisition illumination intensity in a current acquisition target and acquiring a meteorological state.
The decision variable obtaining module 300 is configured to analyze the current time and the environmental meteorological state through a preset environmental illumination model, generate a current environmental illumination intensity, and generate an artificial illumination intensity based on a difference between the collected illumination intensity and the environmental illumination intensity, where the environmental illumination model is used to represent different meteorological environment data and a mapping relationship between different time points and the environmental illumination intensity.
And the decision variable coefficient module 500 is used for acquiring the attenuation coefficient of the artificial illumination intensity in the acquisition process of the operation and maintenance terminal sensor through a preset illumination attenuation coefficient model based on the meteorological environment data at the current moment and the position information of the operation and maintenance terminal, calculating based on the attenuation coefficient and the artificial illumination intensity, and generating the actual output illumination intensity before attenuation, wherein the illumination attenuation coefficient model is used for representing the reduction rule of the intensity in the light propagation process of different meteorological environments.
The object state judging module 700 is configured to obtain a theoretical output illumination intensity based on a preset power input intensity and a street lamp conversion efficiency, obtain an output difference based on the actual output illumination intensity, and generate a maintenance notification signal if the output difference exceeds a preset error range, where the maintenance notification signal is used to represent that an abnormal object exists in a plurality of street lamps in the area.
In the embodiment, the intelligent operation and maintenance cloud platform system is provided, and health and safety judgment of equipment is performed through acquired data related to the equipment and data of the environment, so that the existing monitoring device is matched with sensing equipment to conveniently supervise and control infrastructure such as street lamps in an area, problems can be discovered at the first time and notified to the outside through the system, and a problem equipment discovery mode of manual inspection or user equipment reporting in the prior art is changed; in specific use, the system judges the ambient light quantity in the current natural state by acquiring current ambient sensing data, namely meteorological environment data, and based on the ambient light quantity in the natural state and the actual light quantity acquired by a sensor, the artificially manufactured light quantity can be calculated and acquired, namely the actual light quantity actually acted on the sensor position by equipment such as a street lamp, and further according to the distance of light propagation and the current environmental state, the power actually output by the street lamp can be reversely judged.
As shown in fig. 2, as another preferred embodiment of the present invention, the present invention further includes an object positioning module 900, which specifically includes:
and an image partitioning unit 901, configured to obtain monitoring image data when the output difference exceeds a preset error range, and perform correspondence with the monitoring image based on a preset street lamp setting position, so as to perform multiple area partitioning on the monitoring image, where each area corresponds to a street lamp.
And an area metering unit 902, configured to acquire metering data of each monitoring area based on the monitoring image data, where the metering data is used to represent area illumination data acquired through the monitoring image data.
And the object judgment unit 903 is configured to judge the photometric data of the multiple areas based on the distance relationship between the multiple areas and the operation and maintenance terminal, and mark a maintenance notification signal for a street lamp in the area if the distance relationship between the photometric data of the area and the area cannot correspond to the illumination attenuation coefficient model.
In this embodiment, the object positioning module 900 is supplemented, and is used for further determining image data acquired by devices such as a road security camera when determining that a certain road lamp in a certain terminal monitoring area is in a state, so as to further position the street lamp device to be maintained.
As another preferred embodiment of the present invention, the system further comprises a weather anastomosis deviation module;
the meteorological coincidence deviation module is used for acquiring current meteorological environment data, performing curve fitting on the current meteorological environment data according to the collected meteorological states to generate predicted meteorological environment data after fitting, and fitting the current meteorological environment data through the meteorological environment data which can be collected in real time to judge the actual state of partial meteorological environment data which cannot be collected in real time.
In this embodiment, the meteorological offset module that coincide because in the in-service use of reality, the meteorological data that the sensor can directly acquire is limited, and the meteorological data that acquires through the high in the clouds in the in-service use of reality, and the actual state in different monitoring areas can be different, consequently, the meteorological data that can gather through the reality is fitted the meteorological data that the high in the clouds was acquireed, and then carries out a rough prediction estimation to the relevant meteorological data that the sensor can't acquire.
As another preferred embodiment of the present invention, the present invention further includes a terminal self-checking module, including:
and the fault determination unit is used for generating and outputting a fault maintenance signal when the monitoring image data cannot be acquired at preset time intervals, wherein the fault maintenance signal is used for representing that the operation and maintenance terminal has an abnormal state.
In this embodiment, the terminal self-inspection module is used to monitor the image acquisition-related device (for example, road monitoring), and if the monitored image data cannot be obtained, it indicates that the device is damaged.
As another preferred embodiment of the present invention, the terminal self-checking module further includes:
and the fault self-checking unit is used for acquiring multiple groups of historical monitoring image data consistent with the currently acquired illumination intensity in a preset daytime, judging the variation trend of the photometric data based on the multiple groups of historical monitoring image data, generating feedback data and outputting the feedback data.
In this embodiment, a further supplementary description is performed on the terminal self-inspection module, and in a long-term use process, the light sensing efficiency of the image sensor may be reduced, or the camera may be shielded, so that the device state can be known by performing continuity judgment on image data acquired for a long time.
As shown in fig. 3, the present invention further provides an intelligent operation and maintenance cloud platform control method, which includes:
s200, receiving terminal acquisition data from a plurality of operation and maintenance terminals at preset time intervals, and acquiring current meteorological environment data through a cloud server, wherein the terminal acquisition data comprise monitoring image data and environment sensing data, and the environment sensing data are used for representing the acquisition illumination intensity in a current acquisition target and acquiring a meteorological state.
S400, analyzing the current time and the environmental meteorological state through a preset environmental illumination model to generate the current environmental illumination intensity, and generating an artificial illumination intensity based on the difference value between the collected illumination intensity and the environmental illumination intensity, wherein the environmental illumination model is used for representing different meteorological environment data and the mapping relation between different time points and the environmental illumination intensity.
S600, based on meteorological environment data at the current moment and the position information of the operation and maintenance terminal, obtaining the attenuation coefficient of the artificial illumination intensity in the acquisition process of the operation and maintenance terminal sensor through a preset illumination attenuation coefficient model, calculating based on the attenuation coefficient and the artificial illumination intensity, generating the actual output illumination intensity before attenuation, wherein the illumination attenuation coefficient model is used for representing the reduction rule of the intensity in the light propagation process of different meteorological environments.
S800, obtaining theoretical output illumination intensity based on preset power input intensity and street lamp conversion efficiency, obtaining an output difference value based on the actual output illumination intensity, and generating a maintenance informing signal if the output difference value exceeds a preset error range, wherein the maintenance informing signal is used for representing that abnormal objects exist in a plurality of street lamps in the area.
As another preferred embodiment of the present invention, further comprising the steps of:
and when the output difference value exceeds a preset error range, acquiring monitoring image data, and corresponding to the monitoring image based on a preset street lamp setting position, so that the monitoring image is divided into a plurality of areas, wherein each area corresponds to the street lamp.
And acquiring photometric data of each monitoring area based on the monitoring image data, wherein the photometric data are used for representing area illumination data acquired through the monitoring image data.
And judging photometric data of the areas based on the distance relationship between the areas and the operation and maintenance terminal, and if the distance relationship between the photometric data of the areas and the areas cannot correspond to the illumination attenuation coefficient model, marking a maintenance notification signal for the street lamps in the areas.
As another preferred embodiment of the present invention, further comprising the steps of:
acquiring current meteorological environment data, performing curve fitting on the current meteorological environment data according to the acquired meteorological state, and generating fitted predicted meteorological environment data, wherein the curve fitting is used for fitting the current meteorological environment data through the meteorological environment data which can be acquired in real time so as to judge the actual state of partial meteorological environment data which cannot be acquired in real time.
As another preferred embodiment of the present invention, the present invention further comprises:
when the monitoring image data cannot be acquired at preset time intervals, a fault maintenance signal is generated and output, and the fault maintenance signal is used for representing that the operation and maintenance terminal has an abnormal state.
As another preferred embodiment of the present invention, further comprising the steps of:
and acquiring multiple groups of historical monitoring image data consistent with the currently acquired illumination intensity in a preset daytime, judging the variation trend of the photometric data based on the multiple groups of historical monitoring image data, generating feedback data and outputting the feedback data.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. An intelligent operation and maintenance cloud platform system, comprising:
the operation and maintenance data acquisition module is used for receiving terminal acquisition data from a plurality of operation and maintenance terminals at preset time intervals and acquiring current meteorological environment data through the cloud server, wherein the terminal acquisition data comprise monitoring image data and environment sensing data, and the environment sensing data are used for representing the acquisition illumination intensity in a current acquisition target and the acquisition meteorological state;
the decision variable acquisition module is used for analyzing the current time and the environmental meteorological state through a preset environmental illumination model to generate the current environmental illumination intensity and generating artificial illumination intensity based on the difference value between the acquired illumination intensity and the environmental illumination intensity, and the environmental illumination model is used for representing different meteorological environment data and the mapping relation between different time points and the environmental illumination intensity;
the decision variable coefficient module is used for acquiring an attenuation coefficient of the artificial illumination intensity in the process of being acquired by the operation and maintenance terminal sensor through a preset illumination attenuation coefficient model based on the meteorological environment data at the current moment and the position information of the operation and maintenance terminal, calculating based on the attenuation coefficient and the artificial illumination intensity, and generating the actual output illumination intensity before attenuation, wherein the illumination attenuation coefficient model is used for representing the intensity reduction rule of different meteorological environments in the light transmission process;
and the object state judgment module is used for acquiring theoretical output illumination intensity based on preset power input intensity and street lamp conversion efficiency, acquiring an output difference value based on the actual output illumination intensity, and generating a maintenance notification signal if the output difference value exceeds a preset error range, wherein the maintenance notification signal is used for representing that abnormal objects exist in a plurality of street lamps in the area.
2. The intelligent operation and maintenance cloud platform system according to claim 1, further comprising an object positioning module, specifically comprising:
the image partitioning unit is used for acquiring monitoring image data when the output difference value exceeds a preset error range, and carrying out corresponding to the monitoring image based on a preset street lamp setting position so as to further carry out multiple region partitioning on the monitoring image, wherein each region corresponds to a street lamp;
the regional metering unit is used for acquiring metering data of each monitoring region based on the monitoring image data, and the metering data is used for representing regional illumination data acquired through the monitoring image data;
and the object judgment unit is used for judging the photometric data of the areas based on the distance relationship between the areas and the operation and maintenance terminal, and if the distance relationship between the photometric data of the areas and the areas cannot correspond to the illumination attenuation coefficient model, marking a maintenance notification signal for the street lamps in the areas.
3. The intelligent operation and maintenance cloud platform system of claim 2, further comprising a weather fit offset module;
the meteorological coincidence deviation module is used for acquiring current meteorological environment data, performing curve fitting on the current meteorological environment data according to the collected meteorological states to generate predicted meteorological environment data after fitting, and fitting the current meteorological environment data through the meteorological environment data which can be collected in real time to judge the actual state of partial meteorological environment data which cannot be collected in real time.
4. The intelligent operation and maintenance cloud platform system according to claim 1, further comprising a terminal self-checking module, comprising:
and the fault determination unit is used for generating and outputting a fault maintenance signal when the monitoring image data cannot be acquired at preset time intervals, wherein the fault maintenance signal is used for representing that the operation and maintenance terminal has an abnormal state.
5. The intelligent operation and maintenance cloud platform system according to claim 4, wherein the terminal self-checking module further comprises:
and the fault self-checking unit is used for acquiring multiple groups of historical monitoring image data consistent with the currently acquired illumination intensity in a preset daytime, judging the variation trend of the photometric data based on the multiple groups of historical monitoring image data, generating feedback data and outputting the feedback data.
6. An intelligent operation and maintenance cloud platform control method is characterized by comprising the following steps:
receiving terminal acquisition data from a plurality of operation and maintenance terminals at preset time intervals, and acquiring current meteorological environment data through a cloud server, wherein the terminal acquisition data comprise monitoring image data and environment sensing data, and the environment sensing data are used for representing the acquisition illumination intensity and the acquisition meteorological state in a current acquisition target;
analyzing the current time and the environmental meteorological state through a preset environmental illumination model to generate the current environmental illumination intensity, and generating artificial illumination intensity based on the difference value between the collected illumination intensity and the environmental illumination intensity, wherein the environmental illumination model is used for representing different meteorological environment data and the mapping relation between different time points and the environmental illumination intensity;
based on meteorological environment data at the current moment and position information of an operation and maintenance terminal, obtaining an attenuation coefficient of the artificial illumination intensity in the process of acquisition by an operation and maintenance terminal sensor through a preset illumination attenuation coefficient model, calculating based on the attenuation coefficient and the artificial illumination intensity, and generating actual output illumination intensity before attenuation, wherein the illumination attenuation coefficient model is used for representing the attenuation rule of different meteorological environments on the intensity in the light transmission process;
obtaining theoretical output illumination intensity based on preset power input intensity and street lamp conversion efficiency, obtaining an output difference value based on the actual output illumination intensity, and generating a maintenance informing signal if the output difference value exceeds a preset error range, wherein the maintenance informing signal is used for representing that abnormal objects exist in a plurality of street lamps in the area.
7. The intelligent operation and maintenance cloud platform control method according to claim 6, further comprising the steps of:
when the output difference value exceeds a preset error range, acquiring monitoring image data, and carrying out corresponding to the monitoring image based on a preset street lamp setting position so as to divide the monitoring image into a plurality of areas, wherein each area corresponds to a street lamp;
acquiring photometric data of each monitoring area based on the monitoring image data, wherein the photometric data is used for representing area illumination data acquired through the monitoring image data;
and judging photometric data of the areas based on the distance relationship between the areas and the operation and maintenance terminal, and if the distance relationship between the photometric data of the areas and the areas cannot correspond to the illumination attenuation coefficient model, marking a maintenance notification signal for the street lamps in the areas.
8. The intelligent operation and maintenance cloud platform control method according to claim 7, further comprising the steps of:
acquiring current meteorological environment data, performing curve fitting on the current meteorological environment data according to the acquired meteorological state, and generating fitted predicted meteorological environment data, wherein the curve fitting is used for fitting the current meteorological environment data through the meteorological environment data which can be acquired in real time so as to judge the actual state of partial meteorological environment data which cannot be acquired in real time.
9. The intelligent operation and maintenance cloud platform control method according to claim 6, further comprising the steps of:
when the monitoring image data cannot be acquired at preset time intervals, a fault maintenance signal is generated and output, and the fault maintenance signal is used for representing that the operation and maintenance terminal has an abnormal state.
10. The intelligent operation and maintenance cloud platform control method according to claim 9, further comprising the steps of:
and acquiring multiple groups of historical monitoring image data consistent with the currently acquired illumination intensity in a preset daytime, judging the variation trend of the photometric data based on the multiple groups of historical monitoring image data, generating feedback data and outputting the feedback data.
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| CN117559446B (en) * | 2024-01-10 | 2024-03-29 | 国网辽宁省电力有限公司经济技术研究院 | Environment-adaptive electric energy storage and intelligent allocation method and system |
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