Monitoring method and monitoring system

Abstract

The invention relates to a monitoring method and a monitoring system, and the method comprises the steps: obtaining the geographic information of a to-be-monitored target region in a new energy station and the equipment arrangement information of target equipment in the target region, generating a target inspection parameter of an unmanned plane according to the geographic information and the equipment arrangement information, and carrying out the inspection of the target equipment in the target region according to the target inspection parameter. And controlling the unmanned aerial vehicle to inspect in the target area, collecting a plurality of pieces of environment monitoring information of the target area through the unmanned aerial vehicle, and determining an environment monitoring evaluation result corresponding to each piece of environment monitoring information according to the environment monitoring information.

Description

Technical Field

[0001] The present disclosure relates to the field of monitoring technology, and in particular, to a monitoring method and a monitoring system. Background Art

[0002] With the rapid development of new energy technologies, wind farms, photovoltaic farms and other new energy farms have been put into use in large quantities. Monitoring of the farm environment has become an essential item for the daily operation and maintenance of new energy farms. At present, monitoring methods such as manual inspections and satellite remote sensing monitoring are usually used to monitor new energy farms.

[0003] However, the manual inspection and monitoring method loses a lot of labor costs and has low monitoring efficiency, while the satellite remote sensing monitoring method has high costs and low accuracy and real-time nature of the monitoring data. Summary of the invention

[0004] In order to overcome the problems existing in the related art, the present disclosure provides a monitoring method and a monitoring system.

[0005] According to a first aspect of an embodiment of the present disclosure, a monitoring method is provided, the method comprising: obtaining geographic information of a target area to be monitored in a new energy station and equipment layout information of a target device in the target area; generating target inspection parameters of an unmanned aerial vehicle based on the geographic information and the equipment layout information; controlling the unmanned aerial vehicle to inspect the target area according to the target inspection parameters, and collecting multiple environmental monitoring information of the target area through the unmanned aerial vehicle; and determining an environmental monitoring evaluation result corresponding to each environmental monitoring information based on the environmental monitoring information.

[0006] Optionally, the geographic information includes meteorological information and location information of the target area; the target inspection parameters include the inspection frequency and inspection area of ​​the UAV; generating the target inspection parameters of the UAV based on the geographic information and the equipment layout information includes: determining the inspection frequency based on the meteorological information and the location information; determining the inspection area based on the equipment layout information.

[0007] Optionally, the environmental monitoring information includes soil erosion information, air quality information, wind speed and direction information, noise information and electromagnetic environment information of the target area; determining the environmental monitoring evaluation result corresponding to each environmental monitoring information based on the environmental monitoring information includes: determining the soil erosion evaluation result corresponding to the soil erosion information based on the soil erosion information, and the soil erosion evaluation result is used to characterize the loss intensity of soil erosion within a preset time period; determining the air quality evaluation result corresponding to the air quality information based on the air quality information; determining the wind measuring device evaluation result corresponding to the wind speed and direction information based on the wind speed and direction information, and the wind measuring device evaluation result is used to characterize the deviation of the wind measurement data of the wind measuring device in the target device; determining the noise evaluation result corresponding to the noise information based on the noise information; determining the electromagnetic environment evaluation result corresponding to the electromagnetic environment information based on the electromagnetic environment information.

[0008] Optionally, the method further includes: outputting early warning prompt information corresponding to the environmental monitoring and evaluation results according to the environmental monitoring and evaluation results.

[0009] Optionally, outputting the early warning prompt information corresponding to the environmental monitoring evaluation result according to the environmental monitoring evaluation result includes: obtaining a first difference between the environmental monitoring evaluation result and a historical environmental monitoring evaluation result, the historical environmental monitoring evaluation result including the environmental monitoring evaluation result of the target area in a historical period; obtaining a second difference between the environmental monitoring evaluation result and a preset benchmark evaluation result; obtaining a weighted average difference between the first difference and the second difference; when the weighted average difference is greater than or equal to a first preset difference threshold and less than a second preset difference threshold, outputting a first early warning prompt information; or, when the weighted average difference is greater than or equal to the second preset difference threshold, outputting a second early warning prompt information; the prompt intensity of the second early warning prompt information is greater than that of the first early warning prompt information.

[0010] Optionally, the method further includes: collecting a regional image of the target area by the drone; matching the regional image with a historical regional image, and outputting third warning prompt information according to the matching result.

[0011] Optionally, the method further includes: acquiring infrared image information of the target device through the drone; and outputting fourth warning prompt information based on the infrared image information, wherein the fourth warning prompt information is used to prompt a user of safety hazard information of the target device.

[0012] Optionally, the method further includes: monitoring the movement of people in the target area by the drone, and outputting an alarm prompt message when it is detected that people move to an unsafe area.

[0013] According to a second aspect of an embodiment of the present disclosure, a monitoring system is provided, the system comprising an analysis module, a control module, a database, and a drone; the control module is connected to the analysis module and the drone respectively, and the database is connected to the analysis module and the drone respectively; The drone is used to obtain geographic information of a target area to be monitored in a new energy station and equipment layout information of target equipment in the target area, and transmit the geographic information and the equipment layout information to the database; The analysis module is used to obtain the geographic information and the equipment layout information from the database, and generate target inspection parameters of the drone according to the geographic information and the equipment layout information; The control module is used to control the drone to inspect the target area according to the target inspection parameters, and collect multiple environmental monitoring information of the target area through the drone; The analysis module is used to determine the environmental monitoring evaluation result corresponding to each environmental monitoring information according to the environmental monitoring information.

[0014] Optionally, the geographic information includes meteorological information and location information of the target area; the target inspection parameters include the inspection frequency and inspection area of ​​the UAV; the analysis module is used to determine the inspection frequency based on the meteorological information and the location information, and determine the inspection area based on the equipment layout information.

[0015] Optionally, the environmental monitoring information includes soil erosion information, air quality information, wind speed and direction information, noise information and electromagnetic environment information of the target area; the analysis module is used to determine a soil erosion evaluation result corresponding to the soil erosion information based on the soil erosion information, and the soil erosion evaluation result is used to characterize the loss intensity of soil erosion within a preset time period, and to determine an air quality evaluation result corresponding to the air quality information based on the air quality information, and to determine a wind measuring device evaluation result corresponding to the wind speed and direction information based on the wind speed and direction information, and the wind speed and direction evaluation result is used to characterize the deviation of wind measurement data of the wind measuring device in the target device; and to determine a noise evaluation result corresponding to the noise information based on the noise information, and to determine an electromagnetic environment evaluation result corresponding to the electromagnetic environment information based on the electromagnetic environment information.

[0016] Optionally, the system further includes: a prompt module, which is connected to the analysis module and the drone respectively; the prompt module is used to output early warning prompt information corresponding to the environmental monitoring and evaluation results according to the environmental monitoring and evaluation results.

[0017] Optionally, the analysis module is used to obtain a first difference between the environmental monitoring and evaluation results and the historical environmental monitoring and evaluation results, the historical environmental monitoring and evaluation results include the environmental monitoring and evaluation results of the target area in the historical period, and to obtain a second difference between the environmental monitoring and evaluation results and a preset benchmark evaluation result, and to obtain a weighted average difference between the first difference and the second difference; the prompt module is used to output a first warning prompt information when the weighted average difference is greater than or equal to a first preset difference threshold and less than a second preset difference threshold; or, when the weighted average difference is greater than or equal to the second preset difference threshold, to output a second warning prompt information; the prompt intensity of the second warning prompt information is greater than that of the first warning prompt information.

[0018] Optionally, the control module is further used to collect a regional image of the target area through the drone; the analysis module is further used to match the regional image with a historical regional image; and the prompt module is further used to output a third warning prompt information based on the matching result.

[0019] Optionally, the control module is further used to obtain infrared image information of the target device through the drone; the prompt module is further used to output fourth warning prompt information based on the infrared image information, and the fourth warning prompt information is used to prompt the user of safety hazard information of the target device.

[0020] Optionally, the control module is further used to monitor the movement of people in the target area through the drone; the prompt module is further used to output an alarm prompt message when it is monitored that people move to an unsafe area.

[0021] Through the above technical solution, the target inspection parameters of the drone can be generated according to the acquired geographic information of the target area to be monitored in the new energy station and the equipment layout information of the target equipment in the target area. The drone can be controlled to inspect the target area according to the target inspection parameters, and multiple environmental monitoring information of the target area can be collected by the drone, and the environmental monitoring evaluation results corresponding to each environmental monitoring information can be determined based on the environmental monitoring information. In this way, by monitoring the new energy station through drones, the cost of manual inspection and the cost of monitoring equipment layout can be reduced, and the efficiency and real-time performance of monitoring can be improved. At the same time, the inspection parameters of the drone are determined according to the geographic information and equipment information of the station, which can improve the coverage area and accuracy of monitoring.

[0022] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 The figure is a flow chart of a monitoring method according to an exemplary embodiment.

[0024] Figure 2 is a flow chart of another monitoring method according to an exemplary embodiment.

[0025] Figure 3 It is a block diagram of a monitoring system according to an exemplary embodiment.

[0026] Figure 4 is a block diagram of another monitoring system according to an exemplary embodiment. DETAILED DESCRIPTION

[0027] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0028] The terms "first", "second", etc. in the disclosed specification and claims and the above drawings are used to distinguish similar objects and do not have to be understood as a specific order or sequence. In addition, in the description with reference to the drawings, the same symbols in different drawings represent the same elements.

[0029] In the description of the present disclosure, unless otherwise specified, "multiple" means two or more than two, and other quantifiers are similar thereto; "at least one item", "one item or multiple items" or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one item a can represent any number of a; for another example, one item or multiple items among a, b and c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple; "and / or" is a description of the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " indicates that the associated objects before and after are in an "or" relationship.

[0030] In related technologies, with the rapid development of new energy technologies, wind farms, photovoltaic farms and other new energy farms have been put into use in large numbers, and monitoring of the farm environment has become an essential item for the daily operation and maintenance of new energy farms. At present, monitoring methods such as manual inspections and satellite remote sensing monitoring are usually used to monitor new energy farms. However, the manual inspection monitoring method loses a lot of labor costs and has low monitoring efficiency, while the satellite remote sensing monitoring method has high costs and low accuracy and real-time monitoring data.

[0031] Therefore, in order to overcome the problems existing in the related art, the present disclosure provides a monitoring method and a monitoring system. The method can generate the target inspection parameters of the drone according to the acquired geographic information of the target area to be monitored in the new energy station and the equipment layout information of the target equipment in the target area, and can control the drone to inspect the target area according to the target inspection parameters, and can collect multiple environmental monitoring information of the target area through the drone, and determine the environmental monitoring evaluation results corresponding to each environmental monitoring information according to the environmental monitoring information. In this way, by monitoring the new energy station through the drone, the cost of manual inspection and the cost of monitoring equipment layout can be reduced, and the efficiency and real-time performance of monitoring can be improved. At the same time, the inspection parameters of the drone are determined according to the geographic information and equipment information of the station, which can improve the coverage area and accuracy of monitoring.

[0032] The present disclosure is described below in conjunction with specific embodiments.

[0033] Figure 1 is a flow chart of a monitoring method according to an exemplary embodiment. Figure 1 As shown, the method comprises the following steps: In step S11, the geographical information of the target area to be monitored in the new energy station and the equipment layout information of the target equipment in the target area are obtained.

[0034] The new energy station may include a wind power station or a photovoltaic station. The target area may include the power generation operation area of ​​the new energy station. The target equipment may include the operating equipment in the new energy station, including power generation equipment such as wind turbines and photovoltaic power generation equipment, and may also include related supporting equipment such as transmission lines, transformers, and regulating equipment.

[0035] In step S12, target inspection parameters of the UAV are generated according to the geographic information and the equipment layout information.

[0036] In some embodiments, the geographic information may include weather information and location information of the target area, and the target inspection parameter may include the inspection frequency and inspection area of ​​the drone. The inspection frequency may be determined based on the weather information and the location information; and the inspection area may be determined based on the equipment layout information.

[0037] The weather information may include good weather such as sunny, cloudy, overcast, light rain, etc., and may also include bad weather such as heavy snow, heavy rain, etc. The location information may include the altitude of the target area. For example, when the weather information is good weather and the altitude is less than the preset altitude, the inspection frequency may be determined as ; The inspection frequency can be set to ; When the weather information indicates bad weather and the altitude is less than the preset altitude, the inspection frequency can be set to ; The inspection frequency can be set to ,in , the inspection frequency can be increased in bad weather to match the geographical conditions of the site. At the same time, the equipment layout information can include the layout area of ​​the target equipment, which can be for In this case, the inspection area Determined as , The value of can be determined according to the actual situation of the station, for example .

[0038] In step S13, the drone is controlled to perform inspection in the target area according to the target inspection parameters, and multiple environmental monitoring information of the target area is collected by the drone.

[0039] The drone is equipped with an onboard camera, millimeter-wave radar, infrared and other sensors. The sensor has a regular self-calibration function. The drone has data access and export functions, and can transmit the collected environmental monitoring information in real time through the Internet and the database. During the inspection process, the drone can use the Beidou satellite navigation system to enhance the security of data link transmission and avoid navigation failure caused by unstable GPS signals. At the same time, the drone also has a "breakpoint resumption" function, which allows it to return to charge when the battery is low, and continue to perform unfinished inspection and collection tasks before returning to complete the monitoring needs under complex operating conditions such as long-term operations.

[0040] In step S14, the environmental monitoring evaluation result corresponding to each environmental monitoring information is determined according to the environmental monitoring information.

[0041] In some embodiments, the environmental monitoring information may include soil erosion information, air quality information, wind speed and direction information, noise information, and electromagnetic environment information of the target area. The soil erosion evaluation result corresponding to the soil erosion information may be determined based on the soil erosion information; the air quality evaluation result corresponding to the air quality information may be determined based on the air quality information; the wind measurement device evaluation result corresponding to the wind speed and direction information may be determined based on the wind speed and direction information; the noise evaluation result corresponding to the noise information may be determined based on the noise information; and the electromagnetic environment evaluation result corresponding to the electromagnetic environment information may be determined based on the electromagnetic environment information.

[0042] Among them, the soil erosion evaluation result is used to characterize the loss intensity of soil erosion within a preset time period. The soil erosion information may include the soil erosion area. The millimeter wave radar configured by the drone can be used to scan the terrain of the target area and draw a three-dimensional terrain map to determine the soil erosion area. The preset time period may include the time period of engineering construction, and may also include the time period of extreme weather rain erosion. The soil erosion evaluation result may include the proportion of soil erosion area, which characterizes the proportion of soil erosion area to the total land area of ​​the target area. The air quality information may include PM2.5 index information and PM10 index information within a preset time period. The air quality information may be obtained through the air quality sensor configured by the drone. The air quality evaluation result may include the first average concentration of the PM2.5 index in the air quality information and the first air quality deviation rate of the preset PM2.5 benchmark concentration and the second average concentration of the PM10 index and the second air quality deviation rate of the preset PM10 benchmark concentration. The wind speed and direction information can be obtained through a wind direction and speed sensor configured by the drone, which has strong anti-interference ability, no risk of mechanical parts jamming, and high test accuracy. The wind measuring device evaluation result is used to characterize the deviation of the wind measurement data of the wind measuring device in the target device. The wind measuring device evaluation result may include the deviation of the first wind measurement data obtained by the wind measuring device in the same time period and the second wind measurement data in the wind speed and direction information. The noise information may include the noise decibels generated by the operation of mechanical parts and ventilation equipment in the station. The noise information may be obtained through a noise sensor configured by the drone. The noise evaluation result may include a noise deviation rate, which is the deviation rate between the noise decibels and the preset reference decibels. The electromagnetic environment information may include the radiation power of the power generation equipment in the station to the external environment. The electromagnetic environment information may be obtained through an electromagnetic sensor configured by the drone. The electromagnetic environment evaluation result may include the radiation power deviation rate between the radiation power and the preset reference power.

[0043] By adopting the above scheme, the target inspection parameters of the drone can be generated according to the acquired geographic information of the target area to be monitored in the new energy station and the equipment layout information of the target equipment in the target area. The drone can be controlled to inspect the target area according to the target inspection parameters, and multiple environmental monitoring information of the target area can be collected by the drone, and the environmental monitoring evaluation results corresponding to each environmental monitoring information can be determined according to the environmental monitoring information. In this way, by monitoring the new energy station through the drone, the cost of manual inspection and the cost of monitoring equipment layout can be reduced, and the efficiency and real-time performance of monitoring can be improved. At the same time, the inspection parameters of the drone can be determined according to the geographic information and equipment information of the station, which can improve the coverage area and accuracy of monitoring.

[0044] In some embodiments, early warning information corresponding to the environmental monitoring and evaluation results can be output based on the environmental monitoring and evaluation results.

[0045] In one possible implementation, a first difference between the environmental monitoring and evaluation result and the historical environmental monitoring and evaluation result can be obtained, a second difference between the environmental monitoring and evaluation result and the preset benchmark evaluation result can be obtained, and a weighted average difference between the first difference and the second difference can be obtained. When the weighted average difference is greater than or equal to a first preset difference threshold and less than a second preset difference threshold, a first warning prompt information is output; or, when the weighted average difference is greater than or equal to the second preset difference threshold, a second warning prompt information is output.

[0046] Among them, the historical environmental monitoring and evaluation results may include the environmental monitoring and evaluation results of the target area in the historical period, and the historical period may be the previous monitoring period of the target area. The monitoring period may be determined according to the actual working conditions of the station, for example, the monitoring period may be determined as 30 days. The environmental monitoring and evaluation results include the proportion of soil erosion area, the first air quality deviation rate, the second air quality deviation rate, the wind measurement data deviation, the noise deviation rate, and the radiation power deviation rate. For example, the first difference can be calculated by the following formula:

[0047] in, is the first difference, This is the environmental monitoring and evaluation result. This is the result of historical environmental monitoring and evaluation.

[0048] The second difference can be calculated by the following formula:

[0049] in, is the second difference, This is the environmental monitoring and evaluation result. The preset benchmark evaluation result.

[0050] The weighted average difference can be calculated using the following formula:

[0051] in, is the weighted average difference, is the first difference, is the second difference, is the first weighting coefficient, is the second weighting coefficient, and The sum of is 1, and The value of can be determined according to the actual working conditions of the station. For example, Determine it to be 0.8, Determined to be 0.2.

[0052] For example, in In the case of the first warning message, the In the case of, output the second warning prompt information. is the weighted average difference, is the first preset difference threshold, is the second preset difference threshold. The prompt information is used to prompt the station operator that there are abnormalities in the environmental monitoring and evaluation results, and it is necessary to manually process and eliminate the monitoring indicators corresponding to the abnormal environmental monitoring and evaluation results. The prompt information can be output through the terminal of the station operator. The prompt intensity of the second early warning prompt information is greater than that of the first early warning prompt information. For example, the second early warning prompt information has a higher prompt frequency and a longer prompt time than the first early warning prompt information. In this way, when the environmental data obtained during the inspection is abnormal, an early warning prompt can be issued to the operator so that the operator can manually process the abnormal data. The drone operation and manual operation can be combined to improve the efficiency and accuracy of abnormal problem handling.

[0053] In other embodiments, the drone may be used to collect a regional image of the target area, match the regional image with a historical regional image, and output a third warning prompt information based on the matching result.

[0054] Among them, the regional image may include an image of the environment in the target area, including images of terrain, vegetation, water network system, atmospheric environment, and may also include an image of the appearance of equipment in the target area. The historical regional image may include a regional image collected in the previous collection cycle of the target area. The changes in terrain, vegetation, water network system, atmospheric environment and equipment appearance can be determined through image matching, and when changes such as geological erosion, vegetation destruction, reduction in water area, atmospheric pollution, and equipment rust are identified, a third early warning prompt information can be output to the terminal of the station operator. In this way, the changes in the appearance of the environment and equipment in the target area can be recorded and analyzed through image phenomena, and warnings can be issued to the staff when changes occur, so that the staff can deploy precautions in advance according to the changes, which can improve the efficiency of monitoring.

[0055] In other embodiments, the drone can be used to obtain infrared image information of the target device, and fourth warning prompt information can be output based on the infrared image information.

[0056] Among them, the fourth early warning prompt information is used to prompt the user of the safety hazard information of the target device. The infrared image can be obtained by the infrared sensor configured by the drone, and the safety hazards of the target device, such as equipment line short circuit, equipment overheating, etc., can be monitored through the infrared image. When it is detected that the target device has a short circuit in the equipment line, the equipment is overheated, and the working environment elements such as the external temperature have changed significantly, the fourth early warning prompt information can be output to the terminal of the station operator. In this way, the safety hazards of the equipment can be monitored through infrared images, and the staff can be warned when safety hazards occur, so that the staff can investigate and deal with them in time, which can improve the real-time and accuracy of monitoring.

[0057] In other embodiments, the drone can be used to monitor the movement of people in the target area, and output an alarm message when it is detected that people move to an unsafe area.

[0058] Among them, the unsafe area includes the electrical operation area, and the movement of personnel can be monitored by the infrared sensor configured by the drone. The sound and light alarm installed in the target area can output the alarm prompt information through voice and image. For example, when the distance between the person and the operation area is less than or equal to the preset distance threshold, the voice output "You have entered the operation area, please leave immediately!" can be used. The preset distance threshold can be the operation radius, or it can be increased according to the actual operation situation. In this way, the movement of personnel can be monitored through infrared images, and an alarm can be sounded when a person is detected entering a dangerous area, which can reduce the cost of operation monitoring and improve operation safety.

[0059] Figure 2 is a flow chart of another monitoring method according to an exemplary embodiment. Figure 2 As shown, the method includes: S201. Obtain geographic information of a target area to be monitored in a new energy station and equipment layout information of target equipment in the target area.

[0060] The geographic information may include weather information and location information of the target area, the weather information may include good weather such as sunny, cloudy, overcast, light rain, etc., and may also include bad weather such as heavy snow, heavy rain, etc. The location information may include the altitude of the target area. The equipment layout information may include the layout area of ​​the target equipment.

[0061] S202: Determine the inspection frequency of the UAV according to the meteorological information and the location information.

[0062] Among them, when the weather information is good and the altitude is less than the preset altitude, the inspection frequency can be determined as ; The inspection frequency can be set to ; When the weather information indicates bad weather and the altitude is less than the preset altitude, the inspection frequency can be set to ; The inspection frequency can be set to ,in .

[0063] S203: Determine the inspection area of ​​the UAV according to the layout area.

[0064] Among them, you can arrange the area for In this case, the inspection area Determined as .

[0065] S204: Control the drone to inspect the target area according to the inspection frequency and the inspection area, and collect multiple environmental monitoring information of the target area through the drone.

[0066] Among them, the environmental monitoring information may include soil erosion information, air quality information, wind speed and direction information, noise information and electromagnetic environment information of the target area.

[0067] S205: Determine the environmental monitoring evaluation result corresponding to each environmental monitoring information according to the environmental monitoring information.

[0068] Among them, the soil erosion evaluation result corresponding to the soil erosion information can be determined based on the soil erosion information; the air quality evaluation result corresponding to the air quality information can be determined based on the air quality information; the wind measuring device evaluation result corresponding to the wind speed and direction information can be determined based on the wind speed and direction information; the noise evaluation result corresponding to the noise information can be determined based on the noise information; and the electromagnetic environment evaluation result corresponding to the electromagnetic environment information can be determined based on the electromagnetic environment information.

[0069] S206: Obtain a first difference between the environmental monitoring and evaluation result and the historical environmental monitoring and evaluation result.

[0070] The historical environmental monitoring and evaluation results include environmental monitoring and evaluation results of the target area in a historical period, and the historical period may be a previous monitoring period of the target area.

[0071] The first difference can be calculated by the following formula:

[0072] in, is the first difference, This is the environmental monitoring and evaluation result. This is the result of historical environmental monitoring and evaluation.

[0073] S207: Obtain a second difference between the environmental monitoring evaluation result and a preset benchmark evaluation result.

[0074] The second difference can be calculated by the following formula:

[0075] in, is the second difference, This is the environmental monitoring and evaluation result. The preset benchmark evaluation result.

[0076] S208: Obtain a weighted average difference between the first difference and the second difference.

[0077] The weighted average difference can be calculated by the following formula:

[0078] in, is the weighted average difference, is the first difference, is the second difference, is the first weighting coefficient, is the second weighting coefficient, and The sum of is 1, and The value of can be determined according to the actual working conditions of the station. For example, Determine it to be 0.8, Determined to be 0.2.

[0079] S209: When the weighted average difference is greater than or equal to a first preset difference threshold and less than a second preset difference threshold, output a first warning prompt message.

[0080] S210: When the weighted average difference is greater than or equal to a second preset difference threshold, output a second warning prompt information.

[0081] The second warning prompt information has a greater prompt intensity than the first warning prompt information.

[0082] By adopting the above scheme, the inspection frequency of the drone can be determined according to the meteorological information and location information of the target area to be monitored in the new energy station, and the inspection area of ​​the drone can be determined according to the equipment layout information of the target equipment in the target area. The drone can be controlled to inspect the target area according to the inspection frequency and inspection area, and multiple environmental monitoring information of the target area can be collected by the drone, and the environmental monitoring evaluation results corresponding to each environmental monitoring information can be determined according to the environmental monitoring information, and the weighted average difference between the first difference between the environmental monitoring evaluation result and the historical environmental monitoring evaluation result and the second difference between the environmental monitoring evaluation result and the preset benchmark evaluation result is obtained. According to the size of the weighted average difference and the first preset difference threshold and the second preset difference threshold, the early warning prompt information of different prompt strengths is output. In this way, by monitoring the new energy station through the drone, the cost of manual inspection and the cost of monitoring equipment layout can be reduced, and the efficiency and real-time performance of monitoring can be improved. At the same time, the inspection parameters of the drone are determined according to the geographical information and equipment information of the station, which can improve the coverage area and accuracy of monitoring. In addition, when the environmental data obtained during the inspection is abnormal, an early warning can be issued to the operating personnel so that the operating personnel can manually process the abnormal data. UAV operations can be combined with manual operations to improve the efficiency and accuracy of abnormal problem handling.

[0083] It should be noted that, for the specific implementation of each step in the above embodiment, reference can be made to the description of the relevant steps in the above embodiment, which will not be repeated here.

[0084] In addition, for the above method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence. For example, the above steps S206 and S207 are not limited to the step sequence shown in the current embodiment, and step S207 may be performed first, then step S206, or step S206 and step S207 may be performed simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0085] Figure 3 is a block diagram of a monitoring system according to an exemplary embodiment. Figure 3 As shown, the monitoring system 300 includes: an analysis module 301, a control module 302, a database 303 and a drone 304; the control module 302 is connected to the analysis module 301 and the drone 304 respectively, and the database 303 is connected to the analysis module 301 and the drone 304 respectively; The drone 304 is used to obtain geographic information of a target area to be monitored in a new energy station and equipment layout information of target equipment in the target area, and transmit the geographic information and the equipment layout information to the database 303; The analysis module 301 is used to obtain the geographic information and the equipment layout information from the database 303, and generate target inspection parameters of the drone 304 according to the geographic information and the equipment layout information; The control module 302 is used to control the drone 304 to inspect the target area according to the target inspection parameters, and collect multiple environmental monitoring information of the target area through the drone 304; The analysis module 301 is used to determine the environmental monitoring evaluation result corresponding to each environmental monitoring information according to the environmental monitoring information.

[0086] Optionally, the geographic information includes meteorological information and location information of the target area; the target inspection parameters include the inspection frequency and inspection area of ​​the UAV; the analysis module 301 is used to determine the inspection frequency based on the meteorological information and the location information, and determine the inspection area based on the equipment layout information.

[0087] Optionally, the environmental monitoring information includes soil erosion information, air quality information, wind speed and direction information, noise information and electromagnetic environment information of the target area; the analysis module 301 is used to determine a soil erosion evaluation result corresponding to the soil erosion information based on the soil erosion information, and the soil erosion evaluation result is used to characterize the loss intensity of soil erosion within a preset time period, and to determine an air quality evaluation result corresponding to the air quality information based on the air quality information, and to determine a wind measuring device evaluation result corresponding to the wind speed and direction information based on the wind speed and direction information, and the wind speed and direction evaluation result is used to characterize the deviation of wind measurement data of the wind measuring device in the target device; and to determine a noise evaluation result corresponding to the noise information based on the noise information, and to determine an electromagnetic environment evaluation result corresponding to the electromagnetic environment information based on the electromagnetic environment information.

[0088] Alternatively, if Figure 4 As shown, the system also includes: a prompt module 305, which is connected to the analysis module 301 and the drone 304 respectively; the prompt module 305 is used to output early warning prompt information corresponding to the environmental monitoring and evaluation results according to the environmental monitoring and evaluation results.

[0089] Optionally, the analysis module 301 is used to obtain a first difference between the environmental monitoring and evaluation result and a historical environmental monitoring and evaluation result, which includes the environmental monitoring and evaluation result of the target area in a historical period, and to obtain a second difference between the environmental monitoring and evaluation result and a preset benchmark evaluation result, and to obtain a weighted average difference between the first difference and the second difference; the prompt module 305 is used to output a first warning prompt information when the weighted average difference is greater than or equal to a first preset difference threshold and less than a second preset difference threshold; or, when the weighted average difference is greater than or equal to the second preset difference threshold, to output a second warning prompt information; the prompt intensity of the second warning prompt information is greater than that of the first warning prompt information.

[0090] Optionally, the control module 302 is further used to collect the regional image of the target area through the drone 304; the analysis module 301 is further used to match the regional image with the historical regional image; and the prompt module 305 is further used to output a third warning prompt information based on the matching result.

[0091] Optionally, the control module 302 is further used to obtain infrared image information of the target device through the drone 304; the prompt module 305 is further used to output fourth warning prompt information based on the infrared image information, and the fourth warning prompt information is used to prompt the user of the safety hazard information of the target device.

[0092] Optionally, the control module 302 is further used to monitor the movement of people in the target area through the drone 304; the prompt module 305 is further used to output an alarm prompt message when it is monitored that people move to an unsafe area.

[0093] By adopting the above system, the inspection frequency of the drone can be determined according to the meteorological information and location information of the target area to be monitored in the new energy station, and the inspection area of ​​the drone can be determined according to the equipment layout information of the target equipment in the target area. The drone can be controlled to inspect the target area according to the inspection frequency and inspection area, and multiple environmental monitoring information of the target area can be collected by the drone, and the environmental monitoring evaluation results corresponding to each environmental monitoring information can be determined according to the environmental monitoring information, and the weighted average difference between the first difference between the environmental monitoring evaluation result and the historical environmental monitoring evaluation result and the second difference between the environmental monitoring evaluation result and the preset benchmark evaluation result is obtained. According to the size of the weighted average difference and the first preset difference threshold and the second preset difference threshold, the early warning prompt information of different prompt strengths is output. In this way, by monitoring the new energy station through the drone, the cost of manual inspection and the cost of monitoring equipment layout can be reduced, and the efficiency and real-time performance of monitoring can be improved. At the same time, the inspection parameters of the drone are determined according to the geographical information and equipment information of the station, which can improve the coverage area and accuracy of monitoring. In addition, when the environmental data obtained during the inspection is abnormal, an early warning can be issued to the operating personnel so that the operating personnel can manually process the abnormal data. UAV operations can be combined with manual operations to improve the efficiency and accuracy of abnormal problem handling.

[0094] Regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0095] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0096] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0097] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A monitoring method, characterized in that: The method comprises: Acquire geographic information of a target area to be monitored in a new energy station and equipment layout information of target equipment in the target area; Generate target inspection parameters of the drone according to the geographic information and the equipment layout information; According to the target inspection parameters, the drone is controlled to inspect the target area, and multiple environmental monitoring information of the target area is collected by the drone; According to the environmental monitoring information, the environmental monitoring evaluation result corresponding to each environmental monitoring information is determined.

2. The method according to claim 1, characterized in that The geographic information includes weather information and location information of the target area; The target inspection parameters include the inspection frequency and inspection area of ​​the UAV; The generating of target inspection parameters of the drone according to the geographic information and the equipment layout information includes: Determining the inspection frequency according to the meteorological information and the location information; The inspection area is determined according to the equipment layout information.

3. The method according to claim 1, characterized in that The environmental monitoring information includes soil erosion information, air quality information, wind speed and direction information, noise information and electromagnetic environment information of the target area; Determining, based on the environmental monitoring information, the environmental monitoring evaluation result corresponding to each environmental monitoring information includes: Determine, according to the soil and water loss information, a soil and water loss evaluation result corresponding to the soil and water loss information, wherein the soil and water loss evaluation result is used to characterize the loss intensity of soil and water loss within a preset time period; Determining, based on the air quality information, an air quality evaluation result corresponding to the air quality information; Determine, according to the wind speed and wind direction information, an evaluation result of a wind measuring device corresponding to the wind speed and wind direction information, wherein the evaluation result of the wind measuring device is used to characterize the deviation of wind measurement data of the wind measuring device in the target device; Determining a noise evaluation result corresponding to the noise information according to the noise information; An electromagnetic environment evaluation result corresponding to the electromagnetic environment information is determined according to the electromagnetic environment information.

4. The method according to claim 1, characterized in that: The method further comprises: According to the environmental monitoring and evaluation results, early warning prompt information corresponding to the environmental monitoring and evaluation results is output.

5. The method according to claim 4, characterized in that The outputting of early warning information corresponding to the environmental monitoring and evaluation result according to the environmental monitoring and evaluation result includes: Obtaining a first difference between the environmental monitoring and evaluation result and a historical environmental monitoring and evaluation result, wherein the historical environmental monitoring and evaluation result includes the environmental monitoring and evaluation result of the target area in a historical period; Obtaining a second difference between the environmental monitoring evaluation result and a preset benchmark evaluation result; Obtaining a weighted average difference between the first difference and the second difference; When the weighted average difference is greater than or equal to the first preset difference threshold and less than the second preset difference threshold, outputting a first warning prompt message; or, When the weighted average difference is greater than or equal to a second preset difference threshold, outputting a second warning prompt information; The prompt intensity of the second warning prompt information is greater than that of the first warning prompt information.

6. The method according to claim 4, characterized in that The method further comprises: Using the drone, collecting a regional image of the target area; The regional image is matched with the historical regional image, and third warning prompt information is output according to the matching result.

7. The method according to claim 4, characterized in that The method further comprises: Acquiring infrared image information of the target device through the drone; Output fourth warning prompt information according to the infrared image information, wherein the fourth warning prompt information is used to prompt a user of potential safety hazard information of the target device.

8. The method according to claim 4, characterized in that The method further comprises: The movement of people in the target area is monitored by the drone, and when it is detected that people move to an unsafe area, an alarm prompt message is output.

9. A monitoring system, characterized in that: The system includes an analysis module, a control module, a database and a drone; the control module is connected to the analysis module and the drone respectively, and the database is connected to the analysis module and the drone respectively; The drone is used to obtain geographic information of a target area to be monitored in a new energy station and equipment layout information of target equipment in the target area, and transmit the geographic information and the equipment layout information to the database; The analysis module is used to obtain the geographic information and the equipment layout information from the database, and generate target inspection parameters of the drone according to the geographic information and the equipment layout information; The control module is used to control the drone to inspect the target area according to the target inspection parameters, and collect multiple environmental monitoring information of the target area through the drone; The analysis module is used to determine the environmental monitoring evaluation result corresponding to each environmental monitoring information according to the environmental monitoring information.

10. The system according to claim 9, characterized in that The geographic information includes the meteorological information and location information of the target area; the target inspection parameters include the inspection frequency and inspection area of ​​the drone; The analysis module is used to determine the inspection frequency according to the meteorological information and the location information, and to determine the inspection area according to the equipment layout information.

11. The system according to claim 9, characterized in that The environmental monitoring information includes soil erosion information, air quality information, wind speed and direction information, noise information and electromagnetic environment information of the target area; The analysis module is used to determine, based on the soil erosion information, a soil erosion evaluation result corresponding to the soil erosion information, the soil erosion evaluation result being used to characterize the loss intensity of soil erosion within a preset time period, and to determine, based on the air quality information, an air quality evaluation result corresponding to the air quality information, and to determine, based on the wind speed and direction information, an anemometer evaluation result corresponding to the wind speed and direction information, the wind speed and direction evaluation result being used to characterize the anemometer data deviation of the anemometer in the target device; And according to the noise information, a noise evaluation result corresponding to the noise information is determined, and according to the electromagnetic environment information, an electromagnetic environment evaluation result corresponding to the electromagnetic environment information is determined.

12. The system according to claim 9, characterized in that The system further comprises: a prompt module, wherein the prompt module is connected to the analysis module and the drone respectively; The prompt module is used to output the environmental monitoring and evaluation results according to the environmental monitoring and evaluation results. The corresponding warning information will be displayed.

13. The system according to claim 12, characterized in that The analysis module is used to obtain a first difference between the environmental monitoring and evaluation result and a historical environmental monitoring and evaluation result, wherein the historical environmental monitoring and evaluation result includes the environmental monitoring and evaluation result of the target area in a historical period, and obtain a second difference between the environmental monitoring and evaluation result and a preset benchmark evaluation result, and obtain a weighted average difference between the first difference and the second difference; The prompt module is used to output a first warning prompt message when the weighted average difference is greater than or equal to a first preset difference threshold and less than a second preset difference threshold; or output a second warning prompt message when the weighted average difference is greater than or equal to the second preset difference threshold; The prompt intensity of the second warning prompt information is greater than that of the first warning prompt information.

14. The system according to claim 12, characterized in that The control module is further used to collect a regional image of the target area through the drone; The analysis module is further used to match the regional image with the historical regional image; The prompt module is further used to output third warning prompt information according to the matching result.

15. The system according to claim 12, characterized in that The control module is further used to obtain infrared image information of the target device through the drone; The prompt module is further used to output fourth warning prompt information according to the infrared image information, and the fourth warning prompt information is used to prompt the user of the potential safety hazard information of the target device.

16. The system according to claim 12, characterized in that The control module is further used to monitor the movement of people in the target area through the drone; The prompt module is also used to output an alarm prompt message when it is detected that a person moves to an unsafe area.

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