CN115942563B - Intelligent operation and maintenance cloud platform system and control method thereof - Google Patents
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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 health and safety judgment of the equipment is carried out by collecting the acquired data related to the equipment and the environmental data, so that the existing monitoring device can be matched with the sensing equipment to conveniently monitor and control infrastructure such as street lamps in the area, problems can be found at the first time and the system can be used for informing the outside, and the problem equipment finding mode of manual inspection or user report in the prior art is changed.
Description
Technical Field
The invention relates to the field of intelligent operation and maintenance management, in particular to an intelligent operation and maintenance cloud platform system and a control method thereof.
Background
Along with the rapid development of 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 and control equipment and monitor faults.
However, for some infrastructure of public places, such as street lamps on roads, intelligent monitoring is difficult, if intelligent monitoring is required, intelligent upgrading of the equipment is required, and a large amount of cost is not suitable for practical implementation, so that intelligent monitoring of a large number of street lamp equipment is very meaningful based on the existing equipment or by simple intelligent equipment addition.
Disclosure of Invention
The invention aims to provide an intelligent operation and maintenance cloud platform system and a control method thereof, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent operation and maintenance cloud platform system, comprising:
the system comprises a running data acquisition module, a cloud server and a cloud server, wherein the running data acquisition module is used for receiving terminal acquisition data from a plurality of running terminals at preset time intervals, acquiring current meteorological environment data through the cloud server, wherein the terminal acquisition data comprises monitoring image data and environment sensing data, and the environment sensing data is used for representing the acquired illumination intensity and the acquired meteorological state in a current acquisition target;
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 the artificial illumination intensity based on the difference value between the acquired illumination intensity and the environmental illumination intensity, wherein the environmental illumination model is used for representing the mapping relation between different meteorological environment data and different time points and the environmental illumination intensity;
the decision variable coefficient module is used for acquiring attenuation coefficients of the artificial illumination intensity 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 coefficients 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 law of different meteorological environments on the intensity in the light propagation process;
the object state judging 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 the existence of abnormal objects in a plurality of street lamps in an area.
As a further aspect of the invention: the system also comprises an object positioning module, which specifically comprises:
the image partitioning unit is used for acquiring monitoring image data when the output difference value exceeds a preset error range, and 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;
the regional photometry unit is used for acquiring photometry data of each monitoring region based on the monitoring image data, and the photometry data are used for representing regional illumination data acquired through the monitoring image data;
and the object judging unit is used for judging the photometry data of the plurality of areas based on the distance relation between the plurality of areas and the operation and maintenance terminal, and if the distance relation between the photometry data of the areas and the areas cannot correspond to the illumination attenuation coefficient model, the street lamp of the area is marked with maintenance notification signals.
As still further aspects of the invention: the system also comprises a weather anastomosis offset module;
the weather matching offset module is used for acquiring current weather environment data, performing curve fitting on the current weather environment data according to the acquired weather conditions, and generating fitted predicted weather environment data, wherein the curve fitting is used for fitting the current weather environment data through the weather environment data which can be acquired in real time so as to judge the actual conditions of partial weather environment data which cannot be acquired in real time.
As still further aspects of the invention: still include terminal self-checking module, include:
the fault judging 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 the abnormal state of the operation and maintenance terminal.
As still further aspects of the invention: the terminal self-checking module further comprises:
the fault self-checking unit is used for acquiring a plurality of groups of historical monitoring image data consistent with the current collected illumination intensity in a preset daytime period, judging the change trend of the photometric data based on the plurality of 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 acquired illumination intensity and the acquired meteorological state in the current acquisition target;
analyzing the current time and the environmental meteorological conditions through a preset environmental illumination model to generate the current environmental illumination intensity, and generating the artificial illumination intensity based on the difference value between the acquired illumination intensity and the environmental illumination intensity, wherein the environmental illumination model is used for representing the mapping relation between different meteorological environment data and different time points and the environmental illumination intensity;
based on weather environment data at the current moment and position information of an operation and maintenance terminal, acquiring an 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, and generating actual output illumination intensity before attenuation, wherein the illumination attenuation coefficient model is used for representing the intensity reduction law of different weather environments in the light propagation process;
and 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 the existence of abnormal objects in a plurality of street lamps in an area.
As a further aspect of the invention: the method also comprises the steps of:
when the output difference value exceeds a preset error range, acquiring monitoring image data, and performing corresponding to the monitoring image based on a preset street lamp setting position, so as to divide a plurality of areas of the monitoring image, 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 by the monitoring image data;
and judging the photometry data of the plurality of areas based on the distance relation between the plurality of areas and the operation and maintenance terminal, and if the distance relation between the photometry data of the areas and the areas cannot correspond to the illumination attenuation coefficient model, marking the street lamp of the area by maintaining the notification signal.
As still further aspects of the invention: the method also comprises the steps of:
and acquiring current weather environment data, performing curve fitting on the current weather environment data according to the acquired weather conditions, and generating fitted predicted weather environment data, wherein the curve fitting is used for fitting the current weather environment data through the weather environment data capable of being acquired in real time so as to judge the actual conditions of partial weather environment data which cannot be acquired in real time.
As still further aspects of the invention: the method also comprises the steps of:
when the monitoring image data cannot be acquired at preset time intervals, generating and outputting a fault maintenance signal, wherein the fault maintenance signal is used for representing the abnormal state of the operation and maintenance terminal.
As still further aspects of the invention: the method also comprises the steps of:
and in a preset daytime period, acquiring a plurality of groups of historical monitoring image data consistent with the current collected illumination intensity, judging the variation trend of the photometry data based on the plurality of 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 health and safety judgment of the equipment is carried out by collecting the acquired data related to the equipment and the environmental data, so that the existing monitoring device can be matched with the sensing equipment to conveniently monitor and control infrastructure such as street lamps in the area, problems can be found at the first time and the system can be used for informing the outside, and the problem equipment finding mode of manual inspection or user report in the prior art is changed.
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 a control method of the intelligent operation and maintenance cloud platform.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below 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 configured to receive terminal acquisition data from a plurality of operation and maintenance terminals at preset time intervals, and acquire current weather environment data through the cloud server, where the terminal acquisition data includes monitoring image data and environment sensing data, and the environment sensing data is used for characterizing an acquired illumination intensity and an acquired weather state in a current acquisition target.
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 value between the collected illumination intensity and the environmental illumination intensity, where the environmental illumination model is used for characterizing different meteorological environmental data and mapping relations between different time points and the environmental illumination intensity.
The decision variable coefficient module 500 is configured to obtain, based on weather environment data at the current moment and position information of the operation and maintenance terminal, 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, calculate based on the attenuation coefficient and the artificial illumination intensity, and generate an actual output illumination intensity before attenuation, where the illumination attenuation coefficient model is used to characterize an attenuation rule of intensities in the light propagation process by different weather environments.
The object state judging module 700 is configured to obtain a theoretical output illumination intensity based on a preset power input intensity and street lamp conversion efficiency, and obtain an output difference value based on the actual output illumination intensity, and if the output difference value exceeds a preset error range, generate a maintenance notification signal, where the maintenance notification signal is used to characterize that abnormal objects exist in a plurality of street lamps in an area.
In the embodiment, an intelligent operation and maintenance cloud platform system is provided, and health and safety judgment of equipment is performed by collecting acquired data related to the equipment and environmental data, so that the existing monitoring device can be matched with sensing equipment to conveniently monitor and control infrastructure such as street lamps in an area, problems can be found at the first time and the system can inform the outside, and the problem equipment finding mode of manual inspection or user report in the prior art is changed; in specific use, the system judges the current environmental light quantity under the natural state by acquiring the current environmental sensing data, namely the meteorological environmental data, and based on the environmental light quantity under the natural state and the actual light quantity acquired by the sensor, the system can calculate and acquire the artificially manufactured light quantity, namely the actual light quantity actually acted on the position of the sensor by equipment such as a street lamp and the like, further can reversely judge the actual output power of the street lamp according to the light propagation distance and the current environmental state, and judge the conversion rate of the street lamp by the actually output power and the power output to the street lamp by the control system because the transmission loss of the light in unit distances under different meteorological environments (such as rainy days and snowy days) so as to realize the operation and maintenance detection management of the equipment such as the street lamp and the like and realize the intelligent and unmanned management.
As shown in fig. 2, as another preferred embodiment of the present invention, the present invention further includes an object positioning module 900, specifically including:
the image partitioning unit 901 is configured to obtain monitoring image data when the output difference value exceeds a preset error range, and correspond to the monitoring image based on a preset street lamp setting position, so as to divide the monitoring image into a plurality of areas, where each area corresponds to a street lamp.
The area photometry unit 902 is configured to acquire photometry data of each monitored area based on the monitored image data, where the photometry data is used to characterize area illumination data acquired by the monitored image data.
The object determining unit 903 is configured to determine, based on a distance relationship between a plurality of areas and an operation and maintenance terminal, photometric data of the plurality of areas, and if the distance relationship between the photometric data of the area and the area cannot correspond to the illumination attenuation coefficient model, mark a street lamp of the area with a maintenance notification signal.
In this embodiment, the object positioning module 900 is supplemented, which is used to further determine, when it is determined that a certain street lamp in a certain terminal monitoring area has a situation, by using image data obtained by devices such as a road safety camera, so as to further position street lamp equipment that needs to be maintained.
As another preferred embodiment of the invention, the device further comprises a weather anastomosis offset module;
the weather matching offset module is used for acquiring current weather environment data, performing curve fitting on the current weather environment data according to the acquired weather conditions, and generating fitted predicted weather environment data, wherein the curve fitting is used for fitting the current weather environment data through the weather environment data which can be acquired in real time so as to judge the actual conditions of partial weather environment data which cannot be acquired in real time.
In this embodiment, the weather matching offset module is limited in the actual use, and the weather data acquired by the sensor directly is different in the actual use from the actual state of different monitoring areas, so that the weather data acquired by the cloud can be fitted by the weather data which can be acquired actually, and then the relevant weather data which cannot be acquired by the sensor is estimated by a rough prediction.
As another preferred embodiment of the present invention, the terminal self-checking module further includes:
the fault judging 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 the abnormal state of the operation and maintenance terminal.
In this embodiment, the function of the terminal self-checking module is to monitor the image acquisition related device (for example, road monitoring), and if the monitored image data cannot be acquired, it indicates that the device is damaged.
As another preferred embodiment of the present invention, the terminal self-checking module further includes:
the fault self-checking unit is used for acquiring a plurality of groups of historical monitoring image data consistent with the current collected illumination intensity in a preset daytime period, judging the change trend of the photometric data based on the plurality of groups of historical monitoring image data, generating feedback data and outputting the feedback data.
In this embodiment, the terminal self-checking module is further described in a supplementary manner, and in a long-term use process, the photosensitive efficiency of the image sensor may be reduced, or the camera is blocked, so that the device state can be known by continuously judging the image data collected in a long time.
As shown in fig. 3, the present invention further provides an intelligent operation and maintenance cloud platform control method, which includes:
and 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 acquired illumination intensity and the acquired meteorological state in the current acquisition target.
S400, analyzing the current time and the environmental meteorological conditions through a preset environmental illumination model to generate the current environmental illumination intensity, and generating the artificial illumination intensity based on the difference value between the acquired illumination intensity and the environmental illumination intensity, wherein the environmental illumination model is used for representing the mapping relation between different meteorological environment data and different time points and the environmental illumination intensity.
S600, based on weather environment data at the current moment and position information of an operation and maintenance terminal, an attenuation coefficient of the artificial illumination intensity in the acquisition process of the operation and maintenance terminal sensor is obtained through a preset illumination attenuation coefficient model, calculation is carried out based on the attenuation coefficient and the artificial illumination intensity, the actual output illumination intensity before attenuation is generated, and the illumination attenuation coefficient model is used for representing the attenuation law of different weather environments on the intensity in the light propagation process.
S800, 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 the existence of abnormal objects in a plurality of street lamps in an area.
As another preferred embodiment of the present invention, further comprising the steps of:
when the output difference value exceeds a preset error range, acquiring monitoring image data, and performing corresponding to the monitoring image based on a preset street lamp setting position, so as to divide a plurality of areas of the monitoring image, wherein each area corresponds to a street lamp.
And 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 by the monitoring image data.
And judging the photometry data of the plurality of areas based on the distance relation between the plurality of areas and the operation and maintenance terminal, and if the distance relation between the photometry data of the areas and the areas cannot correspond to the illumination attenuation coefficient model, marking the street lamp of the area by maintaining the notification signal.
As another preferred embodiment of the present invention, further comprising the steps of:
and acquiring current weather environment data, performing curve fitting on the current weather environment data according to the acquired weather conditions, and generating fitted predicted weather environment data, wherein the curve fitting is used for fitting the current weather environment data through the weather environment data capable of being acquired in real time so as to judge the actual conditions of partial weather environment data which cannot be acquired in real time.
As another preferred embodiment of the present invention, further comprising:
when the monitoring image data cannot be acquired at preset time intervals, generating and outputting a fault maintenance signal, wherein the fault maintenance signal is used for representing the abnormal state of the operation and maintenance terminal.
As another preferred embodiment of the present invention, further comprising the steps of:
and in a preset daytime period, acquiring a plurality of groups of historical monitoring image data consistent with the current collected illumination intensity, judging the variation trend of the photometry data based on the plurality of groups of historical monitoring image data, generating feedback data and outputting the feedback data.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile 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), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, 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 is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (6)
1. An intelligent operation and maintenance cloud platform system, comprising:
the system comprises a running data acquisition module, a cloud server and a cloud server, wherein the running data acquisition module is used for receiving terminal acquisition data from a plurality of running terminals at preset time intervals, acquiring current meteorological environment data through the cloud server, wherein the terminal acquisition data comprises monitoring image data and environment sensing data, and the environment sensing data is used for representing the acquired illumination intensity and the acquired meteorological state in a current acquisition target;
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 the artificial illumination intensity based on the difference value between the acquired illumination intensity and the environmental illumination intensity, wherein the environmental illumination model is used for representing the mapping relation between different meteorological environment data and different time points and the environmental illumination intensity;
the decision variable coefficient module is used for acquiring attenuation coefficients of the artificial illumination intensity 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 coefficients 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 law of different meteorological environments on the intensity in the light propagation process;
the object state judging 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 the existence of abnormal objects in a plurality of street lamps in an area;
the system also comprises an object positioning module, which specifically comprises:
the image partitioning unit is used for acquiring monitoring image data when the output difference value exceeds a preset error range, and 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;
the regional photometry unit is used for acquiring photometry data of each monitoring region based on the monitoring image data, and the photometry data are used for representing regional illumination data acquired through the monitoring image data;
the object judging unit is used for judging the photometry data of the plurality of areas based on the distance relation between the plurality of areas and the operation and maintenance terminal, and if the distance relation between the photometry data of the areas and the areas cannot correspond to the illumination attenuation coefficient model, the street lamp of the area is marked with maintenance notification signals;
the system also comprises a weather anastomosis offset module;
the weather matching offset module is used for acquiring current weather environment data, performing curve fitting on the current weather environment data according to the acquired weather conditions, and generating fitted predicted weather environment data, wherein the curve fitting is used for fitting the current weather environment data through the weather environment data which can be acquired in real time so as to judge the actual conditions of partial weather environment data which cannot be acquired in real time.
2. The intelligent operation and maintenance cloud platform system of claim 1, further comprising a terminal self-checking module, comprising:
the fault judging 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 the abnormal state of the operation and maintenance terminal.
3. The intelligent operation and maintenance cloud platform system according to claim 2, wherein the terminal self-checking module further comprises:
the fault self-checking unit is used for acquiring a plurality of groups of historical monitoring image data consistent with the current collected illumination intensity in a preset daytime period, judging the change trend of the photometric data based on the plurality of groups of historical monitoring image data, generating feedback data and outputting the feedback data.
4. The 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 acquired illumination intensity and the acquired meteorological state in the current acquisition target;
analyzing the current time and the environmental meteorological conditions through a preset environmental illumination model to generate the current environmental illumination intensity, and generating the artificial illumination intensity based on the difference value between the acquired illumination intensity and the environmental illumination intensity, wherein the environmental illumination model is used for representing the mapping relation between different meteorological environment data and different time points and the environmental illumination intensity;
based on weather environment data at the current moment and position information of an operation and maintenance terminal, acquiring an 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, and generating actual output illumination intensity before attenuation, wherein the illumination attenuation coefficient model is used for representing the intensity reduction law of different weather environments in the light propagation process;
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 the existence of abnormal objects in a plurality of street lamps in an area;
the method also comprises the steps of:
when the output difference value exceeds a preset error range, acquiring monitoring image data, and performing corresponding to the monitoring image based on a preset street lamp setting position, so as to divide a plurality of areas of the monitoring image, 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 by the monitoring image data;
judging the photometry data of the multiple areas based on the distance relation between the multiple areas and the operation and maintenance terminal, and if the distance relation between the photometry data of the areas and the areas cannot correspond to the illumination attenuation coefficient model, marking the street lamp of the area with maintenance notification signals;
the method also comprises the steps of:
and acquiring current weather environment data, performing curve fitting on the current weather environment data according to the acquired weather conditions, and generating fitted predicted weather environment data, wherein the curve fitting is used for fitting the current weather environment data through the weather environment data capable of being acquired in real time so as to judge the actual conditions of partial weather environment data which cannot be acquired in real time.
5. The intelligent operation and maintenance cloud platform control method according to claim 4, further comprising the steps of:
when the monitoring image data cannot be acquired at preset time intervals, generating and outputting a fault maintenance signal, wherein the fault maintenance signal is used for representing the abnormal state of the operation and maintenance terminal.
6. The intelligent operation and maintenance cloud platform control method according to claim 5, further comprising the steps of:
and in a preset daytime period, acquiring a plurality of groups of historical monitoring image data consistent with the current collected illumination intensity, judging the variation trend of the photometry data based on the plurality of groups of historical monitoring image data, generating feedback data and outputting the feedback data.
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