Meter reading method and system based on unmanned aerial vehicle

Abstract

The invention provides an intelligent equipment visual data management and AI model development platform and method, and belongs to the technical field of image processing, and the method specifically comprises the steps: determining an inspection deviation meter in an inspection meter based on an identification processing scheme of the inspection meter under different heat supply deviation heat user data, and determining the inspection deviation meter in the inspection meter; when the inspection data of the inspection deviation meter in the current date is determined to meet the requirement according to the composition data of the heat supply deviation heat users under different heat supply quantities, the inspection data of the unmanned aerial vehicle in the current date and the change conditions of the heat supply deviation heat users under different heat supply quantity intervals are utilized to determine the inspection data of the inspection deviation meter in the current date according to the inspection data of the unmanned aerial vehicle in the current date; the method for reading and processing the surface meter of the unmanned aerial vehicle in different heat supply load intervals is determined, and the reliability of inspection processing of the surface meter is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of unmanned aerial vehicles, and particularly relates to a meter reading method and system based on unmanned aerial vehicles. BACKGROUND

[0002] The existing monitoring meters in a heat exchange station include a large number of on-site meters in addition to online meters. Since the measurement data of the on-site meters are not connected to an online system, the measurement data of the on-site meters are not introduced in the load scheduling processing of the heat station, and the measurement accuracy of the measurement data of the on-site meters is difficult to guarantee, so that the reliability of the on-site scheduling processing of the heat station is difficult to meet the requirements.

[0003] To solve the above technical problems, the application provides a monitoring, analyzing and processing method for on-site meters based on unmanned aerial vehicles, realizes measurement processing of the measurement data of the on-site meters, and introduces the measurement data of the on-site meters into an intelligent agent for scheduling processing of a heat station, so as to guarantee the reliability of the scheduling processing of the heat station. Specifically, the application provides a meter reading method and system based on unmanned aerial vehicles. SUMMARY

[0004] To achieve the object of the application, the application adopts the following technical solutions: Specifically, the application provides a meter reading method based on unmanned aerial vehicles, which specifically includes: S1, determining a data identification scheme of the heat station under different heat supply deviation heat user data based on a running scheme of an intelligent agent of the heat station, and determining a patrol meter of an unmanned aerial vehicle under different heat supply deviation heat user data based on the data identification scheme; S2, determining a patrol deviation meter in the patrol meter based on an identification processing scheme of the patrol meter under different heat supply deviation heat user data; S3, when the patrol data of the patrol deviation meter in the current date meets the requirements, determining a reading processing method of an on-site meter of the unmanned aerial vehicle under different heat supply quantity intervals by using the patrol data of the on-site meter of the unmanned aerial vehicle in the current date and the change of the heat supply deviation heat user under different heat supply quantity intervals based on the composition data of the heat supply deviation heat user under different heat supply quantities.

[0005] The application has the following beneficial effects: Based on the identification processing scheme of the patrol meter under different heat supply deviation heat user data, the patrol deviation meter in the patrol meter is determined, so that the identification deviation of the patrol meter under the current identification processing scheme is realized, the identification of the patrol deviation meter with a delay is realized, and a foundation is laid for further optimization processing of the identification processing scheme of the patrol deviation meter according to the weather data in different dates, and improvement of the reliability of the patrol processing.

[0006] The reading processing method of the unmanned aerial vehicle on-site meter under different heat supply quantity intervals is determined by using the unmanned aerial vehicle inspection data of the on-site meter in the current date and the change of the heat supply deviation heat user under different heat supply quantity intervals, not only considering the current on-site meter inspection deviation situation, but also considering the change of the heat supply deviation heat user and the inspection data, realizing the evaluation of the heat supply stability in the current date, and further realizing the determination of the reading processing method of the unmanned aerial vehicle on-site meter under different heat supply quantity intervals from the heat supply stability and the inspection deviation situation, ensuring the reliability of the on-site meter inspection processing.

[0007] Further, the heat supply deviation heat user is a heat user with a deviation between heat supply quantity and heat demand quantity, and specifically, a heat user with a deviation between heat supply quantity and heat demand quantity greater than a preset deviation is regarded as a heat supply deviation heat user.

[0008] It should be noted that the heat demand quantity is determined according to the heat supply quantity for maintaining the indoor temperature of the heat supply deviation heat user in a target temperature interval. In a possible embodiment, when the ratio of the absolute value of the deviation between heat supply quantity and heat demand quantity to the heat demand quantity is greater than 0.1, the heat user is determined to be a heat supply deviation heat user, and the target temperature interval is greater than 18 degrees Celsius.

[0009] Further technical solutions are that the data recognition scheme includes the inspection meter of the heat supply station under different heat supply deviation heat users, and it can be understood that when the number of heat supply deviation heat users accounts for less than 0.05 in the number of heat users in the heat supply station, only the on-site meter inspection of the recovery temperature, return water flow, water supply temperature and water supply flow of the heat supply station is needed according to the preset time period, if it is not less than 0.05 and between 0.1, the on-site meter of the main water supply pipe and the main return water pipe in the heat supply station needs to be inspected, and otherwise, all on-site meters need to be inspected.

[0010] It can be understood that the main water supply pipe and the main return water pipe are the water supply pipe and the return water pipe directly connected with the heat supply pipe of the heat user. In a possible embodiment, the preset time period is 1 hour.

[0011] Further technical solutions are that the determination method of the inspection deviation meter in the inspection meter is: The inspection object of the on-site meter under the number of different heat supply deviation heat users is determined by the identification processing scheme under different heat supply deviation heat user data; The time interval between the historical inspection processing times of the inspection object in the recent preset time period is determined based on the historical inspection data of the inspection object. According to the time interval, it is determined whether the inspection object is an inspection deviation meter.

[0012] It should be noted that the latest prediction time period is the historical inspection data in the latest week.

[0013] In addition, it can be understood that when the time interval between different historical inspection processing times does not meet the requirements, the inspection object is determined to be an inspection deviation meter.

[0014] In one possible embodiment, if the time interval between different historical inspection processing times is greater than 2 hours, the inspection object is determined to be an inspection deviation meter.

[0015] Optionally, the method for determining the inspection deviation meter in the inspection meter is: The identification processing scheme under different heating deviation heat user data is used to determine the inspection object of the on-site meter under the number of different heating deviation heat users; Based on the historical inspection data of the inspection object, the historical inspection processing times of the inspection object in the latest preset time period are determined; According to the historical inspection processing times, it is determined whether the inspection object is an inspection deviation meter.

[0016] In one possible embodiment, when the historical inspection processing times are less than a preset number of preset values, the inspection object is determined to be an inspection deviation meter.

[0017] It can be understood that the composition data of the heating deviation heat user under the heating amount is determined according to the average value of the historical number of heating deviation heat users in different heating amount intervals on the current date.

[0018] Further technical solutions are to determine whether the inspection data of the inspection deviation meter in the current date meets the requirements, specifically including: The composition data of the heating deviation heat user under different heating amounts is used to determine the number of heating deviation heat users under different heating amount intervals under the weather data of the current date; Based on the number of heating deviation heat users under different heating amount intervals, it is determined that the inspection deviation meter can be inspected in the heating amount interval, and the heating amount interval is used as the heating amount correlation interval; Using the heating amount correlation interval, and combining the operation data of the heating amount of the heat station in different dates, it is determined whether the inspection data of the inspection deviation meter in the current date meets the requirements.

[0019] It should be noted that the number of heat supply deviated heat users in different heat supply quantity intervals under the weather data of the current date is determined according to the number of heat supply deviated heat users in different heat supply quantity intervals in a historical date similar to the weather data of the current date.

[0020] It can be understood that the historical date similar to the weather data of the current date is a historical date in which the deviation rate of different dimensions of weather data is less than a preset deviation rate threshold, and specifically, a historical date in which the absolute value of the temperature deviation amount of the current date is less than 3% of the temperature of the current date is taken as a historical date similar to the weather data of the current date.

[0021] It should be understood that the running data of the heat supply quantity of the heat supply station in different dates is used to determine whether the inspection data of the inspection deviated meter in the current date meets the requirements, specifically including: determining the running data of the heat supply quantity of the heat supply station in different dates in the heat supply quantity correlation interval; determining the number of dates in which different inspection deviated meters can be inspected based on the running data; using the number of dates in which different inspection deviated meters can be inspected to determine whether the inspection data of the inspection deviated meter in the current date meets the requirements.

[0022] It can be understood that the dates in which the inspection deviated meter can be inspected are determined according to dates in which the heat supply quantity runs in the heat supply quantity correlation interval of the inspection deviated meter.

[0023] It should be noted that when the number of dates in which the inspection deviated meter can be inspected does not meet the requirements of the number of inspection deviated meters, the inspection data of the inspection deviated meter in the current date does not meet the requirements, and in a possible embodiment, when the number of dates in which the inspection deviated meter can be inspected accounts for less than 0.3 of the proportion of the inspection deviated meter, the proportion of the number of dates in which the inspection deviated meter can be inspected is greater than 0.5 in the inspection deviated meter, and it is determined that the inspection data of the inspection deviated meter in the current date does not meet the requirements.

[0024] It can be understood that when the inspection data of the inspection deviated meter in the current date does not meet the requirements, then no matter under what heat supply quantity, as long as it is necessary to use a drone to perform on-site meter reading processing, all on-site meters need to be read.

[0025] In another embodiment, it is determined that the inspection data of the inspection deviated meter in the current date meets the requirements, specifically including: determine the number of heat-deviating heat users in different heat supply intervals under weather data of the current date based on the composition data of heat-deviating heat users under different heat supply; determine the heat supply interval in which the patrol-deviating meters can be patrolled based on the number of heat-deviating heat users in different heat supply intervals, and take it as the heat supply correlation interval; determine whether the patrol data of the patrol-deviating meters in the current date meet the requirements by using the coincidence of the heat supply correlation intervals of different patrol-deviating meters.

[0026] It can be understood that when the number of heat supply correlation intervals of more than 90% of the patrol-deviating meters that can be patrolled is less than the preset interval number threshold, it is determined that the patrol data of the patrol-deviating meters in the current date do not meet the requirements.

[0027] Further technical solutions are to determine the reading processing method of the on-site meter of the unmanned aerial vehicle in the heat supply interval by: determine the patrol data of different patrol-deviating meters in the current date based on the patrol data of the on-site meter of the unmanned aerial vehicle in the current date, and determine the number of patrol-deviating meters that are not processed and the patrol data of the on-site meter of the main water supply pipe and the main return pipe in the heat station based on the patrol data; determine the change of the number of heat-deviating heat users in different heat supply intervals based on the change of heat-deviating heat users in different heat supply intervals, and determine the change amount of heat-deviating heat users in different heat supply intervals based on the change. determine the reading processing method of the on-site meter of the unmanned aerial vehicle in the heat supply interval by using the number of patrol-deviating meters that are not processed, the patrol data of the on-site meter of the main water supply pipe and the main return pipe in the heat station, and the change amount of heat-deviating heat users in different heat supply intervals.

[0028] It should be noted that when there is no patrol-deviating meter that is not processed, the reading processing method of the on-site meter of the unmanned aerial vehicle in the heat supply interval is determined based on the number of heat-deviating heat users in the heat supply interval.

[0029] In addition, it can be understood that when there is a patrol-deviating meter that is not processed, it is determined whether the on-site meter of the main water supply pipe and the main return pipe in the heat station is patrolled in the current date. If the on-site meter of the main water supply pipe and the main return pipe in the heat station is not patrolled in the current date, the reading processing method of the on-site meter of the unmanned aerial vehicle in the heat supply interval is determined based on the number of heat-deviating heat users in the heat supply interval.

[0030] In addition, it is necessary to indicate that when the on-site meters of the main water supply pipe and the main return pipe in the heat station are inspected in the current date, the inspection times of the on-site meters of the main water supply pipe and the main return pipe in the heat station in the current date are determined, and when the inspection times do not meet the requirements, it indicates that the heating reliability in the current date is poor, so all the on-site meters are inspected by the heating deviation heat user under any heating flow.

[0031] In a possible embodiment, if the inspection times of the on-site meters of the main water supply pipe and the main return pipe in the heat station in the current date are not less than 3 times, it is determined that all the on-site meters are inspected by the heating deviation heat user under any heating flow.

[0032] Further, when the historical inspection times meet the requirements, the variation of the number of the heating deviation heat users in the heating quantity interval in the number ratio of the heat users in the heat station is determined, and the variation is determined according to the variation of the number of the heating deviation heat users in the heating quantity interval in the number ratio of the heat users in the heat station and the average number of the heating deviation heat users in the heating quantity interval in the number ratio of the heat users in the heat station under the weather data of the current date, and when there are multiple heating quantity intervals in which the variation of the number of the heating deviation heat users in the heating quantity interval in the number ratio of the heat users in the heat station and the average number of the heating deviation heat users in the heating quantity interval in the number ratio of the heat users in the heat station under the weather data of the current date is greater than a preset variation threshold, it indicates that the heating stability is poor at this time, and it is determined that all the on-site meters are inspected by the heating deviation heat user under any heating flow.

[0033] In a possible specific embodiment, when the variation of the number of the heating deviation heat users in the heating quantity interval in the number ratio of the heat users in the heat station and the average number of the heating deviation heat users in the heating quantity interval in the number ratio of the heat users in the heat station under the weather data of the current date is greater than 0.2, it is determined that the variation is greater than a preset variation.

[0034] Additionally, it is understandable that when there is no heating deviation user among the total number of users at the heating station whose change in percentage of heating deviation users within the heating range is greater than a preset change threshold, then within this heating range, all local meters will be inspected as long as there are heating deviation users. In other heating ranges, the method for reading and processing the local meters of the drones within that heating range is determined based on the number of heating deviation users within that range.

[0035] It should be noted that the method for determining the on-site meter readings of drones within the heating range based on the number of users experiencing heating deviations within the heating range specifically includes: The specific inspection meters of the heating stations under different heating deviation heat users are determined based on the data identification scheme.

[0036] Furthermore, the heating supply intervals are divided into 10 sections based on the historical heating supply of the heating station at average intervals.

[0037] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the aforementioned method for reading meters based on a drone when running the computer program.

[0038] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0039] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0040] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0041] Figure 1 This is a flowchart of a meter reading method based on drones; Figure 2 This is a flowchart illustrating the method for determining the inspection deviation meter in the inspection meter system; Figure 3 is a flowchart of a method for determining a reading processing method of an unmanned aerial vehicle for a heat supply interval. DETAILED DESCRIPTION

[0042] In order to enable personnel in the technical field to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in combination with the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by those of ordinary skill in the art without creative labor should be within the scope of protection of the specification.

[0043] Embodiment 1 As shown in Figure 1 The present application provides a meter reading method based on an unmanned aerial vehicle, specifically comprising: S1, based on the operation scheme of the intelligent agent of the heat station, determining the data recognition scheme of the heat station under different heat supply deviation heat user data, and determining the unmanned aerial vehicle for inspecting the meter under different heat supply deviation heat user data based on the data recognition scheme; S2, based on the recognition processing scheme of the unmanned aerial vehicle for inspecting the meter under different heat supply deviation heat user data, determining the inspection deviation meter in the unmanned aerial vehicle for inspecting the meter; S3, based on the composition data of the heat supply deviation heat user under different heat supply amounts, when the inspection data of the inspection deviation meter in the current date meets the requirements, determining the reading processing method of the unmanned aerial vehicle for the meter in the current date and the change of the heat supply deviation heat user under different heat supply amount intervals.

[0044] Further, the heat supply deviation heat user is a heat user with a deviation between the heat supply amount and the heat demand amount, and specifically, a heat user with a deviation between the heat supply amount and the heat demand amount greater than a preset deviation amount is taken as a heat supply deviation heat user.

[0045] It should be noted that the heat demand amount is determined according to the heat supply amount for maintaining the indoor temperature of the heat supply deviation heat user in a target temperature interval. In one possible embodiment, when the ratio of the absolute value of the deviation between the heat supply amount and the heat demand amount to the heat demand amount is greater than 0.1, the heat user is determined to be a heat supply deviation heat user, and the target temperature interval is greater than 18 degrees Celsius.

[0046] Further, the data recognition scheme comprises determining the inspection of the local meters of the heat supply station under different heat supply deviation heat users. It can be understood that when the number of heat supply deviation heat users accounts for less than 0.05 of the number of heat users of the heat supply station, only the in-situ metering inspection of the recovered temperature, return water flow, supply water temperature and supply water flow of the heat supply station needs to be performed according to a preset time period. If the number is between 0.05 and 0.1, the in-situ metering inspection of the main supply water pipe and the main return water pipe of the heat supply station needs to be performed. Otherwise, the in-situ metering inspection of all the local meters needs to be performed.

[0047] It can be understood that the main supply water pipe and the main return water pipe are the supply water pipe and the return water pipe directly connected with the heat supply pipe of the heat user. In a possible embodiment, the preset time period is 1 hour.

[0048] Further, as shown in Figure 2 the method for determining the inspection deviation meter in the inspection meter comprises: determining the inspection object of the local meter under the number of different heat supply deviation heat users according to the recognition processing scheme under different heat supply deviation heat user data; determining the time interval between the historical inspection processing times of the inspection object in a preset time period according to the historical inspection data of the inspection object; determining whether the inspection object is an inspection deviation meter according to the time interval.

[0049] It should be noted that the recent prediction time period is the historical inspection data in the last week.

[0050] It can be further understood that when the time interval between different historical inspection processing times does not meet the requirement, the inspection object is determined to be an inspection deviation meter.

[0051] In a possible embodiment, if the time interval between different historical inspection processing times is greater than 2 hours, the inspection object is determined to be an inspection deviation meter.

[0052] Optionally, the method for determining the inspection deviation meter in the inspection meter comprises: determining the inspection object of the local meter under the number of different heat supply deviation heat users according to the recognition processing scheme under different heat supply deviation heat user data; determining the historical inspection processing times of the inspection object in a preset time period according to the historical inspection data of the inspection object; determining whether the inspection object is an inspection deviation meter according to the historical inspection processing times.

[0053] In a possible embodiment, when the historical inspection processing times are less than the preset number of times, the inspection object is determined as the inspection deviation meter.

[0054] It can be understood that the composition data of the heat supply deviation heat users under the heat supply amount is determined according to the average of the historical number of the heat supply deviation heat users in different heat supply amount intervals under the weather data of the current date.

[0055] Further, the inspection data of the inspection deviation meter in the current date is determined to meet the requirement, specifically including: determining the number of the heat supply deviation heat users in different heat supply amount intervals under the weather data of the current date, by using the composition data of the heat supply deviation heat users under different heat supply amounts; determining the heat supply amount interval in which the inspection deviation meter can be inspected, as the heat supply amount correlation interval, based on the number of the heat supply deviation heat users in different heat supply amount intervals; determining whether the inspection data of the inspection deviation meter in the current date meets the requirement, by using the heat supply amount correlation interval and combining the operation data of the heat supply amount of the heat supply station in different dates.

[0056] It should be noted that the number of the heat supply deviation heat users in different heat supply amount intervals under the weather data of the current date is determined according to the number of the heat supply deviation heat users in different heat supply amount intervals in the historical date similar to the weather data of the current date.

[0057] It can be understood that the historical date similar to the weather data of the current date is the historical date in which the deviation rate of different dimensions of weather data is less than a preset deviation rate threshold, specifically the historical date in which the absolute value of the temperature deviation amount is less than 3% of the temperature of the current date.

[0058] It should be understood that determining whether the inspection data of the inspection deviation meter in the current date meets the requirement by using the heat supply amount correlation interval and combining the operation data of the heat supply amount of the heat supply station in different dates, specifically includes: determining the operation data in the heat supply amount correlation interval in different dates, by using the operation data of the heat supply amount of the heat supply station in different dates; determining the number of dates in which different inspection deviation meters can be inspected, based on the operation data; determining whether the inspection data of the inspection deviation meter in the current date meets the requirement, by using the number of dates in which different inspection deviation meters can be inspected.

[0059] It can be understood that the date that the inspection deviation table meter can be inspected is determined according to the date that the heating quantity associated interval of the inspection deviation table meter contains the heating quantity operation.

[0060] It should be noted that when the number of inspection deviation table meters that the number of dates that can be inspected does not meet the requirements is large, the inspection data of the inspection deviation table meter in the current date does not meet the requirements, and in a possible embodiment, when the number of inspection deviation table meters that the number of dates that can be inspected accounts for less than 0.3 is greater than 0.5 in the proportion of the number of inspection deviation table meters, it is determined that the inspection data of the inspection deviation table meter in the current date does not meet the requirements.

[0061] It can be understood that when the inspection data of the inspection deviation table meter in the current date does not meet the requirements, then no matter under what heating quantity, as long as it is necessary to use the unmanned aerial vehicle to perform the reading processing of the on-site meter, all on-site meters need to be read.

[0062] In another embodiment, it is determined that the inspection data of the inspection deviation table meter in the current date meets the requirements, specifically comprising: The composition data of the heating deviation heat users under different heating quantities is used to determine the number of heating deviation heat users under different heating quantity intervals under the weather data of the current date; Based on the number of heating deviation heat users under different heating quantity intervals, the heating quantity interval in which the inspection deviation table meter can be inspected is determined as the heating quantity associated interval; The coincidence of the heating quantity associated intervals of different inspection deviation table meters is used to determine whether the inspection data of the inspection deviation table meter in the current date meets the requirements.

[0063] It can be understood that when the number of heating quantity associated intervals of more than 90% of the inspection deviation table meters that can be inspected is less than the preset interval number threshold, it is determined that the inspection data of the inspection deviation table meter in the current date does not meet the requirements.

[0064] Further, as Figure 3 shown, the determined method of the unmanned aerial vehicle reading processing method of the on-site meter under the heating quantity interval is: The unmanned aerial vehicle inspection data of the on-site meter in the current date is used to determine the inspection data of different inspection deviation table meters in the current date, and based on the inspection data, the number of inspection deviation table meters that have not been inspected and the inspection data of the on-site meter of the main water supply pipe and the main return water pipe in the heat station are determined. According to the variation of the heat supply deviation heat users under different heat supply amounts, the variation of the quantity of the heat supply deviation heat users under different heat supply amounts in the quantity proportion of the heat users in the heat station is determined, and based on the variation, the variation quantity of the heat supply deviation heat users under different heat supply amount intervals is determined; The reading processing method of the on-site meter of the unmanned aerial vehicle under the heat supply amount is determined by using the quantity of the on-site meter of the patrol deviation meter which is not processed, the patrol data of the on-site meter of the main water supply pipe and the main return pipe in the heat station, and the variation quantity of the heat supply deviation heat users under different heat supply amounts.

[0065] It should be noted that when there is no on-site meter of the patrol deviation meter which is not processed, the reading processing method of the on-site meter of the unmanned aerial vehicle under the heat supply amount interval is determined according to the quantity of the heat supply deviation heat users under the heat supply amount interval.

[0066] In addition, it can be understood that when there is an on-site meter of the patrol deviation meter which is not processed, it is determined whether the on-site meter of the main water supply pipe and the main return pipe in the heat station is patrolled in the current date, and if the on-site meter of the main water supply pipe and the main return pipe in the heat station is not patrolled in the current date, the reading processing method of the on-site meter of the unmanned aerial vehicle under the heat supply amount interval is determined according to the quantity of the heat supply deviation heat users under the heat supply amount interval.

[0067] In addition, it should be noted that when the on-site meter of the main water supply pipe and the main return pipe in the heat station is patrolled in the current date, the patrol times of the on-site meter of the main water supply pipe and the main return pipe in the heat station in the current date is determined, and when the patrol times does not meet the requirement, it means that the heat supply reliability in the current date is poor, so all the on-site meters are processed regardless of the heat supply flow under any heat supply flow.

[0068] In one possible embodiment, if the patrol times of the on-site meter of the main water supply pipe and the main return pipe in the heat station in the current date is not less than 3 times, it is determined that all the on-site meters are processed regardless of the heat supply flow under any heat supply flow.

[0069] Further, when the historical inspection times meet the requirement, the variation of the number of heat deviation heat users in the heat supply quantity interval in the proportion of the number of heat users in the heat station is determined, and the variation of the number of heat deviation heat users in the heat supply quantity interval in the proportion of the number of heat users in the heat station is determined according to the average number of heat deviation heat users in the heat supply quantity interval in the proportion of the number of heat users in the heat station under the weather data of the current date. When there are multiple heat supply quantity intervals in which the variation of the number of heat deviation heat users in the heat supply quantity interval in the proportion of the number of heat users in the heat station is greater than the preset variation threshold, it is determined that the heat supply stability is poor at this time, and therefore, regardless of the heat supply flow, all on-site meters are inspected and processed as long as there are heat deviation heat users.

[0070] In one specific embodiment, when the variation of the number of heat deviation heat users in the heat supply quantity interval in the proportion of the number of heat users in the heat station is greater than 0.2, it is determined that the variation is greater than the preset variation.

[0071] In addition, it can be understood that when there are no multiple heat supply quantity intervals in which the variation of the number of heat deviation heat users in the heat supply quantity interval in the proportion of the number of heat users in the heat station is greater than the preset variation threshold, the variation of the number of heat deviation heat users in the heat supply quantity interval in the proportion of the number of heat users in the heat station is greater than the preset variation threshold. In the heat supply quantity interval, as long as there are heat deviation heat users, all on-site meters are inspected and processed, and in other heat supply quantity intervals, the reading processing method of the on-site meter of the unmanned aerial vehicle in the heat supply quantity interval is determined according to the number of heat deviation heat users in the heat supply quantity interval.

[0072] It should be noted that the reading processing method of the on-site meter of the unmanned aerial vehicle in the heat supply quantity interval is determined according to the number of heat deviation heat users in the heat supply quantity interval, and specifically includes: According to the data identification scheme, the on-site meter of the heat station in different heat deviation heat users is determined.

[0073] Further, the heat supply amount interval is divided into 10 according to the historical heat supply amount of the heat station at average intervals.

[0074] In a second aspect, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the above-mentioned method for reading a meter based on a UAV.

[0075] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment mainly describes the difference from other embodiments. In particular, for the device, equipment and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0076] The above describes specific embodiments of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different than the order in which they are recited, and still achieve desirable results. In addition, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order, to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous or necessary.

[0077] The above only describes one or more embodiments of the present specification, and is not intended to limit the present specification. One or more embodiments of the present specification can have various modifications and changes for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of one or more embodiments of the present specification shall be included in the scope of claims of the present specification.

Claims

1. A method for reading a meter based on a drone, characterized in that, Specifically comprising: Based on the operation scheme of the intelligent agent of the heat station, determine the data recognition scheme of the heat station under different heating deviation heat user data, determine the inspection metering of the unmanned aerial vehicle under different heating deviation heat user data based on the data recognition scheme; Based on the identification processing scheme of the inspection metering under different heating deviation heat user data, determine the inspection deviation metering in the inspection metering; When the inspection data of the inspection deviation metering in the current date meets the requirements, determine the reading processing method of the on-site metering of the unmanned aerial vehicle in different heating quantity intervals by using the on-site metering data of the unmanned aerial vehicle in the current date and the change of the heating deviation heat user in different heating quantity intervals.

2. The management method of historical versions according to claim 1, characterized in that, The heating deviation heat user is a heat user whose heating quantity deviates from the heating demand quantity, and specifically, a heat user whose deviation between the heating quantity and the heating demand quantity is greater than a preset deviation is regarded as a heating deviation heat user.

3. The management method of historical versions according to claim 1, characterized in that, The heating demand quantity is determined according to the heating quantity that maintains the indoor temperature of the heating deviation heat user in a target temperature interval.

4. The management method of historical versions according to claim 1, characterized in that, The data recognition scheme includes determining the inspection metering of the heat station under different heating deviation heat users.

5. The management method of historical versions according to claim 1, characterized in that, The method for determining the inspection deviation metering in the inspection metering is: Determine the inspection object of the on-site metering under the number of different heating deviation heat users based on the identification processing scheme under different heating deviation heat user data; Based on the historical inspection data of the inspection object, determine the time interval between the historical inspection processing times of the inspection object within a preset time period; According to the time interval, determine whether the inspection object is an inspection deviation metering.

6. The management method of historical versions according to claim 5, characterized in that, When the time interval between different historical inspection processing times does not meet the requirements, the inspection object is determined to be an inspection deviation metering.

7. The management method of historical versions according to claim 1, characterized in that, When the inspection data of the inspection deviation metering in the current date meets the requirements, specifically comprising: Determine the number of heating deviation heat users in different heating quantity intervals under the weather data of the current date based on the composition data of the heating deviation heat user under different heating quantities; Based on the number of heating deviation heat users in different heating quantity intervals, determine the heating quantity interval in which the inspection deviation metering can be inspected, and regard it as a heating quantity correlation interval; By using the heating quantity correlation interval and combining the operation data of the heating quantity of the heat station in different dates, determine whether the inspection data of the inspection deviation metering in the current date meets the requirements.

8. The management method of historical versions according to claim 7, characterized in that, The number of heating deviation heat users in different heating quantity intervals under the weather data of the current date is determined according to the number of heating deviation heat users in different heating quantity intervals in a historical date similar to the weather data of the current date.

9. The management method of historical versions according to claim 1, characterized in that, The method for determining the reading processing method of the on-site metering of the unmanned aerial vehicle in the heating quantity interval is: Determine the inspection data of the unmanned aerial vehicle in-situ metering in the current date, determine the inspection data of different inspection deviation meters in the current date, determine the number of inspection deviation meters not processed by the inspection based on the inspection data, and the inspection data of the in-situ metering of the main water supply pipe and the main return water pipe in the heat supply station; According to the change of the heat supply deviation heat user under different heat supply quantities, determine the change of the number of the heat supply deviation heat user under different heat supply quantity intervals in the number ratio of the heat users in the heat supply station, and determine the change amount of the heat supply deviation heat user under different heat supply quantity intervals based on the change; Use the number of the inspection deviation meters not processed by the inspection, the inspection data of the in-situ metering of the main water supply pipe and the main return water pipe in the heat supply station, and the change amount of the heat supply deviation heat user under different heat supply quantities to determine the reading processing method of the unmanned aerial vehicle in-situ metering under the heat supply quantity.

10. A computer system comprising: The memory and processor connected by communication, and the computer program stored on the memory and capable of running on the processor, characterized in that the processor executes the computer program to execute the meter reading method based on the unmanned aerial vehicle according to any one of claims 1-9.

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