Peak shifting reporting method, device and system for gas meter data

Abstract

The invention discloses an off-peak reporting method, device and system for gas meter data, and the method comprises the steps: obtaining a first meter, analyzing the historical data of the first meter, determining whether the first meter meets a first filtering condition or not, and filtering the meter meeting the first filtering condition to obtain a second meter; determining an area where the second meters are located, and filtering the second meters meeting one of the following conditions: the increment of the meters in the area where the second meters are located is smaller than a first threshold value, the meter reading rate in the area where the second meters are located is lower than a second threshold value, and the number of the meters which are not read in the area where the second meters are located is larger than a third threshold value; and defining the second meter which is not filtered as a third meter, determining a centralized reporting time period of an area where the third meter is located, generating a peak shifting reporting instruction, sending the peak shifting reporting instruction to the third meter, and obtaining feedback data sent by the third meter according to the peak shifting reporting instruction. According to the technical scheme, the gas meter reading rate can be increased, and the troubleshooting and maintenance cost is reduced.

Description

Technical Field

[0001] The present application relates to the field of gas meters, and in particular to a method, device, and system for staggered reporting of gas meter data. Background Art

[0002] In the existing gas meter data reporting technology, the tail number staggered reporting is generally adopted, which easily leads to the meters reporting in a certain period of time, resulting in congestion of the communication transmission channel, affecting the normal data reporting of the meters and reducing the meter reporting rate. When the communication transmission channel congestion problem occurs, it is necessary to jointly investigate and locate the problem online and offline, which is a large workload and inefficient, resulting in high investigation and maintenance costs. Summary of the Invention

[0003] In order to address the deficiencies of the prior art, the purpose of this application is to provide a method, device and system for staggered reporting of gas meter data, thereby improving the meter reading rate of gas meters and reducing troubleshooting and maintenance costs.

[0004] To achieve the above objectives, this application adopts the following technical solutions: In a first aspect, the present application provides a method for staggered reporting of gas meter data, comprising: Acquire a first meter, wherein the first meter is a meter that has not reported feedback data within a set time; Analyze historical data of the first meter, determine whether the first meter meets a first filtering condition based on the historical data of the first meter, and filter the first meters that meet the first filtering condition to obtain a second meter; Determine the area where the second meter is located, and filter the second meters that meet one of the following conditions: The meter increment in the area where the second meter is located is greater than a first threshold, the meter reading rate in the area where the second meter is located is lower than a second threshold, and the number of unread meters in the area where the second meter is located is less than a third threshold; Define the unfiltered meter in the second meter as a third meter, determine a centralized reporting period for the area where the third meter is located, generate an off-peak reporting instruction, and send the off-peak reporting instruction to the third meter to obtain feedback data sent by the third meter in accordance with the off-peak reporting instruction.

[0005] Furthermore, after filtering the first meters that meet the first filtering condition, the method further includes: Defining the meter after being filtered by the first filtering condition in the first meter as a primary screening meter, and generating a user profile for the primary screening meter, wherein the user profile is generated based on historical data of the primary screening meter; Meters that meet a second filtering condition are screened from the initially screened meters according to the user portrait to obtain the second meter.

[0006] Furthermore, according to the user portrait, the user who meets the second filtering condition is selected from the primary screening form. Tables, including: Determining whether the primary screening meter is a commonly used meter based on the gas usage of the primary screening meter, wherein the gas usage of the primary screening meter includes archival data, filling records, and gas usage records of the primary screening meter; Determine whether the primary screening form is used normally within a first set time before the most recent recording; determining, based on historical data of the primary screening meter, whether the primary screening meter has a set gas usage habit within a second set time, wherein the second set time is greater than the first set time; If the judgment results are all yes, then the second filtering condition is met.

[0007] Furthermore, the historical data includes at least one of the following data: The usage status of the meter, the power level of the meter, the reporting record of the meter, and the alarm record of the meter.

[0008] Furthermore, determining a centralized reporting period for the area where the third meter is located includes: Determining a reporting period for all meters in the area where the third meter is located; When the area where the third meter is located has at least one reporting period, the reporting period in which the most feedback data is reported is defined as the concentrated reporting period.

[0009] Furthermore, the method further comprises: A non-centralized reporting period is determined, and the off-peak reporting instruction is sent to the third meter during the non-centralized reporting period.

[0010] Furthermore, the method further comprises: After the preset time of generating the off-peak reporting instruction, determining whether the feedback data sent by the third meter is detected; If not, the reporting time periods of all meters in the area where the third meter is located are reallocated.

[0011] Furthermore, the meter has a fixed reporting cycle, the preset time includes at least one reporting cycle, and the third meter sends the feedback data once every reporting cycle.

[0012] In a second aspect, the present application provides a device for staggered reporting of gas meter data, comprising: A gas meter monitoring module, configured to obtain a first meter, wherein the first meter is a meter that has not reported feedback data within a set time; a data analysis module configured to analyze historical data of the first meter, determine whether the first meter satisfies a first filtering condition based on the historical data of the first meter, and filter the first meter that satisfies the first filtering condition to obtain a second meter; The region analysis module is configured to determine the region where the second meter is located and filter out the second meters that meet one of the following conditions: The meter increment in the area where the second meter is located is less than a first threshold, the meter reading rate in the area where the second meter is located is lower than a second threshold, and the number of unread meters in the area where the second meter is located is greater than a third threshold; The region analysis module is further configured to define the unfiltered meter in the second meter as a third meter; The instruction generation module is configured to determine a centralized reporting period for the area where the third meter is located, generate a peak-shift reporting instruction, and send the peak-shift reporting instruction to the third meter to obtain the feedback data sent by the third meter according to the peak-shift reporting instruction.

[0013] In a third aspect, the present application provides a gas meter data staggered reporting system, which is characterized by comprising a meter and the above-mentioned gas meter data staggered reporting device.

[0014] According to the above description, the present application provides a method for staggered reporting of gas meter data. By performing multiple screening and filtering on meters that do not report normally, the target meter that fails to report due to channel congestion during reporting is accurately analyzed, and the reporting time periods of all meters in the area where the target meter is located are analyzed to determine the concentrated reporting time period of the area where the target meter is located. A staggered reporting instruction is sent to the target meter to arrange the target meter to avoid the concentrated reporting time period of the meters in the area for staggered reporting, thereby avoiding invalid staggered reporting for the target meter, improving the gas meter reading rate, and reducing the troubleshooting and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flow chart of a method for staggered reporting of gas meter data in an embodiment of the present application; Figure 2 This is a flow chart of a method for staggered reporting of gas meter data in a specific application in accordance with an embodiment of the present application; Figure 3 This is a flow chart of another method for staggered reporting of gas meter data in an embodiment of the present application; Figure 4A schematic diagram of a method for staggered reporting of gas meter data in an embodiment of the present application, in which a meter repeatedly reports according to a period; Figure 5 This is a module schematic diagram of a peak-shifting reporting device for gas meter data in an embodiment of the present application. DETAILED DESCRIPTION

[0016] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the specific implementation of the present application will be clearly and completely described below in conjunction with the drawings in the implementation of the present application.

[0017] In the first aspect, the embodiment of the present application provides a method for staggered reporting of gas meter data, such as Figure 1 As shown, the following steps are included: Step S101: obtaining information of a first meter from a database, wherein the first meter is a meter that has not reported feedback data within a set time.

[0018] Exemplarily, the server's database stores information on a number of meters, where the meter information includes at least the area where the meter is located, the user profile corresponding to the meter, the meter's power level, etc. When the meter is in a communication connection with the server, the database can also store the meter's charging records, gas usage records, meter reading records, etc.

[0019] The server is configured to receive a command signal from a terminal device, retrieve the meter information from a database, and display the meter information on a display screen of the terminal device; or the server retrieves the meter information from a database according to a set time, and displays the meter information on a display screen of the terminal device.

[0020] For example, the database may be queried regularly every day to find out which meters have not reported feedback data for at least two days in the past seven days and are not waiting for the server to send a peak-shift reporting instruction, that is, which meters have not reported feedback data and have not yet performed peak-shift processing. These meters are set as the first meters.

[0021] Step S102: Analyze historical data of the first meter, determine whether the first meter meets a first filtering condition based on the historical data of the first meter, and filter the first meter that meets the first filtering condition to obtain a second meter.

[0022] Specifically, the first meter can be preliminarily filtered based on one or more types of historical meter data, including meter usage status, meter power, meter reporting records, and meter alarm records. For example, the first filtering condition may include meters not in use in the meter file, meters with less than 30% power, meters with zero reporting records, and meters with active alarms that have not been canceled. The above meter historical data is analyzed. If the target meter appears in the meter file as a non-in-use meter, and / or the target meter's power is less than 30%, and / or the target meter's feedback data record is zero, and / or the target meter has an alarm that has not been canceled, then the target meter is determined to meet the first filtering condition. The target meter is not reported due to reasons other than channel congestion, and off-peak reporting is not performed on the target meter. The target meter is filtered out of the first meter, and the unfiltered first meter is set as the second meter.

[0023] Step S103: Determine the area where the second meter is located, and filter out the second meters that meet one of the following conditions: the meter increment in the area where the second meter is located is greater than a first threshold, the meter reading rate in the area where the second meter is located is lower than a second threshold, and the number of unread meters in the area where the second meter is located is lower than a third threshold. Specifically, the installation address of the second meter can be divided into regions such as streets and communities. Statistics are collected over a preset period of time regarding the total number of meters in the area where the second meter is located, the meter reading rate within the area, and the number of unread meters in the area. The system then determines whether the meter increment in the area where the second meter is located is less than a first threshold (the meter increment represents the number of meters added within the street and community per unit time), whether the meter reading rate within the area where the second meter is located is less than a second threshold, and whether the number of unread meters in the area where the second meter is located is greater than a third threshold. By analyzing the changes in the total number of meters and meter reading rate within the area, meters within the area whose meter change meets one of the above conditions are filtered out. Meters not filtered out are determined to be unread meters in normal use and are designated as third meters. It should be noted that, based on the different attributes of the area where the second meter is located, such as a factory area or a residential area, the various thresholds described above can be adaptively adjusted to the regional attributes to improve filtering accuracy.

[0024] Step S104: define the unfiltered meter in the second meter as a third meter, determine the centralized reporting period for the area where the third meter is located, generate an off-peak reporting instruction, and send the off-peak reporting instruction to the third meter to obtain feedback data sent by the third meter according to the off-peak reporting instruction.

[0025] Specifically, the second meter that fails to meet any of the above conditions in step S103 is set as a third meter. The third meter is a meter that fails to report feedback data during normal use due to channel congestion. The area where the third meter is located is determined based on the meter's location information in the database. The third meter is ranked based on the amount of feedback data reported by the third meter in each period based on the reporting feedback data periods of all meters in the area where the third meter is located. As an optional implementation, the period with the largest amount of feedback data can be set as the centralized reporting period for the area where the third meter is located. For example, the area where the third meter is located has multiple reporting periods, and some third meters send feedback data to the database during each reporting period. The period with the largest amount of feedback data sent to the database among the multiple reporting periods is determined as the centralized reporting period. A staggered reporting instruction is generated for this centralized reporting period and sent to the third meter. Based on the received staggered reporting instruction, the third meter avoids sending feedback data during the centralized reporting period in its area.

[0026] As an optional implementation, in step S104 of a method for staggered reporting of gas meter data provided in this embodiment, the method further includes: combining the regional division of the meter installation address in the aforementioned step, determining the reporting time periods for all meters in the area where the third meter is located, and sorting the amount of feedback data in all reporting time periods in the area where the third meter is located. As an optional implementation, the time period with the least feedback data can be set as a non-centralized reporting time period. For this non-centralized reporting time period, a staggered reporting instruction is generated, and the generated staggered reporting instruction is sent to the third meter during this non-centralized reporting time period. This avoids the situation where the staggered reporting instruction fails to be sent during the centralized reporting time period, and also avoids the situation where the third meter receives the instruction and reports again during the centralized reporting time period, resulting in a further reporting failure.

[0027] According to the above description, the present application provides a method for staggered reporting of gas meter data, which performs multiple screening and filtering on meters that do not report normally, accurately analyzes the target meters that fail to report due to channel congestion during reporting under normal use, and analyzes the reporting time periods of all meters in the area where the target meter is located, determines the concentrated reporting time period of the area where the target meter is located, sends a staggered reporting instruction to the target meter, and arranges the target meter to avoid the concentrated reporting time period of the meters in the area for staggered reporting, thereby avoiding invalid staggered reporting of the meter, improving the gas meter reading rate, and reducing the troubleshooting and maintenance costs.

[0028] As an optional implementation, in step S102 of a method for staggered reporting of gas meter data provided in this embodiment, after filtering out meters that meet a first filtering condition in the first meter, the method further includes: The first meter that is filtered by the first filtering condition is defined as a primary screening meter. A user profile is generated for the primary screening meter, where the user profile is generated based on historical data of the primary screening meter. The primary screening meter is then screened based on the user profile to obtain a second meter that meets the second filtering condition.

[0029] Specifically, the first meters are screened for the first time through the first filtering conditions including the non-use meters in the meter archive, the meters with less than 30% power, the meters with zero reporting records, the meters with alarms and not yet canceled, etc., and the first meters that meet one or more of the first filtering conditions are eliminated, and the first meters that do not meet the first filtering conditions are set as pre-screened meters, and the pre-screened meters are further screened through the second filtering conditions to construct a gas usage behavior habit profile of the users of the pre-screened meters, eliminate the meters of abnormal gas users in the pre-screened meters, and improve the accuracy of the peak-shifting processing of the meters. For example, for the pre-screened meters, a gas usage behavior habit profile of the users corresponding to the pre-screened meters can be established based on the historical data of the meters in the database, and the abnormal gas users can be accurately screened out. Specifically, it is possible to determine whether the primary screening meter is a meter commonly used by the user based on various historical data of the meter, including the archival data, charging records, and gas usage records of the user meter, and to determine whether the user's gas usage within the first set time before the most recent meter reading of the primary screening meter is normal based on historical data such as the gas usage records of the primary screening meter. For example, it is possible to determine whether the primary screening meter is in normal use based on the user's gas usage within one month before the most recent meter reading. In addition, it is also possible to determine whether the primary screening meter has formed a set gas usage habit within the second set time based on the historical data of the primary screening meter. For example, it is possible to determine whether the user's gas usage habit is continuous based on the user's gas usage within three months before the most recent meter reading of the primary screening meter.

[0030] If the primary screening meter is determined to be a commonly used meter, and the user has used the primary screening meter normally for a period of time, and has used gas continuously for an even longer period of time, the primary screening meter is determined to meet the second filtering condition and is set as the second meter. It should be noted that in the second filtering condition, the time period used to determine the user's gas usage habits for the primary screening meter is longer than the time period used to determine whether the primary screening meter is in normal use, that is, the second set time period is longer than the first set time period.

[0031] For example, in practical applications, Figure 2As shown in the figure, based on the various historical data of the meters and the analysis of the users' gas usage behavior, the size of the threshold in the screening conditions is adjusted, and multiple screenings are performed on the meters that fail to report normally. The target meters that fail to report due to channel congestion during reporting are accurately analyzed. For the concentrated reporting period of the area where the target meters belong, staggered reporting instructions are generated and sent to the target meters. The target meters are arranged to avoid the concentrated reporting period for data feedback, thereby improving the meter reading rate of gas meters and reducing the troubleshooting and maintenance costs.

[0032] Furthermore, as an optional implementation, Figure 3 As shown, in another off-peak reporting method for gas meter data provided in this embodiment, steps S201 to S204, which are the same as steps S101 to S104 in the above embodiment, are further included. Step S205: Generate a staggered reporting instruction based on the centralized reporting period of the meters in the area and send it to a third meter. After a preset period of time, detect whether the third meter has sent feedback data. If the third meter has not sent feedback data, reallocate the reporting period for all meters in the area where the third meter is located. For example, if a single data transmission channel in the area where the third meter is located can only accommodate a maximum of ten meters for data transmission during the same period, the eleventh meter in that data transmission channel can be assigned to another unobstructed data transmission channel for data reporting. Alternatively, multiple meters in the aforementioned data transmission channel can be assigned to other unobstructed data transmission channels for data feedback, thereby maintaining the unobstructed data transmission channel.

[0033] Furthermore, as an optional implementation, another off-peak reporting method for gas meter data provided in this embodiment also includes that the third meter has a fixed reporting cycle, and within a reporting cycle, the third meter reports feedback data once, and the preset time before the detection of whether the third meter reports feedback data as described above includes at least one reporting cycle of the third meter. Figure 4 As shown, H represents a preset time before detecting whether the third meter reports feedback data, and T represents a fixed reporting cycle of the third meter. Figure 4 The preset time H shown includes two reporting cycles T of the third meter. The third meter reports feedback data twice within the preset time, thereby avoiding the situation where the third meter fails to report due to channel congestion when reporting a single data.

[0034] Second, as Figure 5 As shown, another embodiment of the present application provides a peak-shift reporting device 300 for gas meter data, comprising: The gas meter monitoring module 301 is configured to obtain information about a first meter from a server database, where the first meter is a meter that has not reported feedback data within a set time period. Exemplarily, the server database stores information about a number of meters, including at least the area where the meter is located, the user profile corresponding to the meter, and the meter's power consumption. When the meter is in communication with the server, the database may also store the meter's charging records, gas usage records, and meter reading records. Exemplarily, the gas meter monitoring module 301 may periodically query the server database daily for meters that have not reported feedback data for at least two days in the past seven days and are not waiting for the server to send a peak-shifting reporting instruction, i.e., meters that have not reported feedback data and have not yet undergone peak-shifting processing. Such meters may be designated as the first meters.

[0035] The data analysis module 302 is configured to analyze historical data of a first meter, wherein the historical data of the first meter includes various data including the meter's usage status, meter power, meter reporting records, and meter alarm records. Based on the historical data of the first meter, it is determined whether the first meter meets a first filtering condition. The first filtering condition may include meters in a meter archive that are not in use, meters with a power level less than 30%, meters with zero reporting records, and meters with alarms that have not been canceled. Meters that meet one or more of the first filtering conditions may be determined to be non-reporting meters due to reasons other than channel congestion. Such meters are then filtered out of the first meter to obtain a second meter. The regional analysis module 303 divides the area into streets, communities, and other areas based on the installation address of the second meter. It then calculates the change in the total number of meters in the area where the second meter is located, the meter reading rate in the area where the second meter is located, and the number of meters that have not been read in the area where the second meter is located. The module then determines whether the meter increment in the area where the second meter is located is less than a first threshold, whether the meter reading rate in the area where the second meter is located is less than a second threshold, and whether the number of meters that have not been read in the area where the second meter is located is greater than a third threshold. If the second meter meets any of the above conditions, the meter is filtered out of the second meter list. Meters that are not filtered out are determined to be meters that have not been read in normal use and are defined as third meters. It should be noted that, based on the different attributes of the area where the second meter is located, such as a factory area or a residential area, the various thresholds described above can be adaptively adjusted based on the regional attributes to improve filtering accuracy.

[0036] The instruction generation module 304 is configured to determine the reporting periods for all meters within the area where the third meter is located, based on the regional division of the meter installation location. The module then sorts the feedback data volume for all reporting periods within the area where the third meter is located. As an optional implementation, the period with the most feedback data can be set as the centralized reporting period. For this centralized reporting period, the module generates a staggered reporting instruction and sends it to the third meter. Based on the received staggered reporting instruction, the third meter sends feedback data outside the centralized reporting period.

[0037] In a third aspect, another embodiment of the present application provides a gas meter data off-peak reporting system, including a meter and the above-mentioned gas meter data off-peak reporting device 300.

[0038] In summary, the embodiments of the present application provide a method, device and system for staggered reporting of gas meter data. By performing multiple screening and filtering on meters that do not report normally, the system accurately analyzes the meters that fail to report due to channel congestion during reporting, analyzes the reporting time periods of all meters in the area where the meter is located, sends a staggered reporting instruction to the meter, and arranges the meter to avoid the concentrated reporting time period of the meters in the area for staggered reporting, thereby avoiding invalid staggered reporting of the meter, improving the gas meter reading rate, and reducing the troubleshooting and maintenance costs.

[0039] The present application also provides a server, comprising a receiver, a processor, and a transmitter. The server is configured to receive a command signal from a terminal device, retrieve meter information from a database based on the command signal, analyze the reasons why the meter failed to report feedback data normally, screen out target meters that failed to report due to channel congestion during reporting, and, by analyzing the reporting time period of the target meter's area, send an off-peak reporting instruction to the target meter, arranging the target meter to report off-peak during the centralized reporting time period of the area in which it is located. Optionally, the server may include multiple sub-servers, with different sub-servers performing different processing steps. For example, sub-server a is responsible for screening out target meters that failed to report normally due to channel congestion during reporting from meters that did not report normally, sub-server b is responsible for determining the centralized reporting time period of the area in which the target meter is located, and sub-server c is responsible for generating an off-peak reporting instruction and sending the instruction to the target meter. The provision of multiple sub-servers improves the processing speed of the server, thereby improving the efficiency of gas meter reading.

[0040] It should be understood that those skilled in the art can make improvements or changes based on the above description, and all such improvements and changes should fall within the scope of protection of the claims appended to this application.

Claims

1. A method for staggered reporting of gas meter data, comprising: Acquire information of a first meter from a database, wherein the first meter is a meter that has not reported feedback data within a set time; Analyze the historical data of the first meter, determine whether the first meter meets a first filtering condition based on the historical data of the first meter, and filter the first meter that meets the first filtering condition to obtain a second meter; Determine the area where the second meter is located, and filter the second meters that meet one of the following conditions: The meter increment in the area where the second meter is located is greater than a first threshold, the meter reading rate in the area where the second meter is located is lower than a second threshold, and the number of unread meters in the area where the second meter is located is less than a third threshold; The meter that is not filtered out in the second meter is defined as a third meter, a centralized reporting period of the area where the third meter is located is determined, and a peak-shift reporting instruction is generated, and the peak-shift reporting instruction is sent to the third meter to obtain feedback data sent by the third meter according to the peak-shift reporting instruction.

2. The method for staggered reporting of gas meter data according to claim 1, characterized in that: After filtering the first meters that meet the first filtering condition, the method further includes: The table tool filtered by the first filtering condition in the first table tool is defined as a preliminary screening table tool, and a user portrait is generated for the preliminary screening table tool, wherein the user portrait is generated based on historical data of the preliminary screening table tool; According to the user portrait, the table that meets the second filtering condition is screened from the primary screening table to obtain the second table.

3. The method for staggered reporting of gas meter data according to claim 2, characterized in that: Screening the primary screening meters that meet the second filtering condition according to the user portrait includes: Determine whether the primary screening meter is a commonly used meter according to the gas usage of the primary screening meter, wherein the gas usage of the primary screening meter includes the archive data, charging records and gas usage records of the primary screening meter; Determine whether the primary screening form is used normally within the first set time before the last transcription; Determining whether the primary screening meter has a set gas usage habit within a second set time according to the historical data of the primary screening meter, wherein the second set time is greater than the first set time; If the judgment results are all yes, then the second filtering condition is met.

4. The method for staggered reporting of gas meter data according to claim 1, characterized in that: The historical data includes at least one of the following data: The usage status of the meter, the power level of the meter, the reporting record of the meter, and the alarm record of the meter.

5. The method for staggered reporting of gas meter data according to claim 1, characterized in that: Determining a centralized reporting period for the area where the third meter is located includes: Determine a reporting period for all meters in the area where the third meter is located; When the area where the third meter is located has at least one reporting period, the reporting period in which the most feedback data is reported is defined as the concentrated reporting period.

6. The method for staggered reporting of gas meter data according to claim 1, characterized in that: The method further comprises: A non-centralized reporting period is determined, and the off-peak reporting instruction is sent to the third meter during the non-centralized reporting period.

7. The method for staggered reporting of gas meter data according to claim 1, characterized in that: The method further comprises: After the preset time of generating the peak-shifting reporting instruction, determining whether the feedback data sent by the third meter is detected; If not, the reporting time periods of all meters in the area where the third meter is located are reallocated.

8. The method for staggered reporting of gas meter data according to claim 7, characterized in that: The meter has a fixed reporting cycle, the preset time includes at least one of the reporting cycles, and the third meter sends the feedback data once every reporting cycle.

9. A peak-shift reporting device for gas meter data, comprising: A gas meter monitoring module, used for acquiring a first meter, wherein the first meter is a meter that has not reported feedback data within a set time; a data analysis module, configured to analyze historical data of the first meter, determine whether the first meter satisfies a first filtering condition based on the historical data of the first meter, and filter the first meter that satisfies the first filtering condition to obtain a second meter; The area analysis module is used to determine the area where the second meter is located, and filter the second meters that meet one of the following conditions: The meter increment in the area where the second meter is located is less than a first threshold, the meter reading rate in the area where the second meter is located is lower than a second threshold, and the number of unread meters in the area where the second meter is located is greater than a third threshold; The region analysis module is further used to define the unfiltered table in the second table as a third table; The instruction generation module is used to determine the centralized reporting period of the area where the third meter is located, generate a peak-shift reporting instruction, and send the peak-shift reporting instruction to the third meter to obtain the feedback data sent by the third meter according to the peak-shift reporting instruction.

10. A gas meter data staggered reporting system, characterized in that: The invention comprises a meter and the peak-shifting reporting device for gas meter data as described in claim 9.

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