Intelligent gas meter seal based on embedded chip and data processing method

Abstract

The invention provides an intelligent gas meter seal based on an embedded chip and a data processing method, and belongs to the technical field of data recognizing.The intelligent gas meter seal based on the embedded chip is characterized in that a data transmission module is responsible for uploading the unsealing state of the intelligent gas meter seal to a far-end platform through the embedded chip, and a vibration detection module is responsible for conducting unsealing detection processing on the gas meter seal; and the dormancy control module is responsible for performing dormancy control processing on the gas meter seal by utilizing a preset strategy, so that the accuracy and the timeliness of seal-off detection processing are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data identification, and in particular relates to an intelligent gas meter seal based on an embedded chip and a data processing method. Background Art

[0002] In order to ensure the safety of gas meters and prevent them from being forcibly disassembled, gas meter seals are often provided in existing technical solutions. Specifically, in the invention patent application CN202310992634.9 "A Gas Safety Inspection System Based on NFC Electronic Meter Seals", the hardware and software control of the meter seal structure are combined, and each meter seal structure is equipped with a unique corresponding identification module. If the meter seal structure is destroyed, the instrument will lose its unique corresponding meter seal structure and the identification mark in the meter seal structure and cannot be restored. During the inspection process, security personnel can promptly discover and eliminate safety hazards. However, there are the following technical problems: The meter seal in the existing technical solution can only clarify the disassembly status of the gas meter when and only when the security personnel conduct on-site inspection and processing. Therefore, there are problems such as low real-time and low accuracy in monitoring the disassembly status of the gas meter, which in turn leads to frequent safety accidents caused by gas leakage due to the disassembly of the gas meter.

[0003] In order to solve the above technical problems, the present application provides an intelligent gas meter seal and data processing method based on an embedded chip. Summary of the Invention

[0004] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In a first aspect, the present application provides a smart gas meter seal based on an embedded chip, specifically comprising: Data transmission module, vibration detection module, sleep control module; The data transmission module is responsible for uploading the unsealing status of the gas meter seal to the remote platform using the embedded chip; The vibration detection module is responsible for performing unsealing detection processing on the gas meter seal; The sleep control module is responsible for performing sleep control processing of the gas meter seal using a preset strategy.

[0005] The beneficial effects of the present invention are: By using an intelligent gas meter seal including a data transmission module, the original technical problems of relying solely on manpower for on-site inspection, which resulted in greater difficulty in inspection and processing and low efficiency in unsealing inspection, are avoided. Timely early warning processing of gas meter seals with unsealing problems is achieved, reducing the risk of safety accidents caused by gas leaks.

[0006] By utilizing a preset strategy to perform sleep control processing on the gas meter seal, the technical problem of excessive power consumption caused by frequent unsealing detection processing is avoided, ensuring that the battery life of the smart gas meter seal can meet the requirements, and also ensuring the reliability of the unsealing detection processing of the smart gas meter seal.

[0007] A further technical solution is to use an embedded chip to upload the unsealing status of the gas meter seal to a remote platform, specifically including: The embedded chip is used to control the communication module and upload the unsealing status of the gas meter seal to the remote platform.

[0008] A further technical solution is to perform unsealing detection processing on the gas meter seal, specifically including: When the proportion of the number of moments when the gas meter seal vibrates within the preset time period is greater than the proportion of the preset number of vibration moments, it is determined that the gas meter seal has a risk of being unsealed.

[0009] In a second aspect, the present application provides a data processing method, which is applied to the above-mentioned smart gas meter seal based on an embedded chip, specifically comprising: S1 determines based on the installation data of the gas meter seals of users in the community that the monitoring reliability of the leakage safety risk of the community meets the requirements, and then proceeds to the next step; S2: determining similarities in the gas usage data of the cell at different time periods on different dates, and dividing the dates into different similar date groups based on the similarities; S3 obtains the changes in the gas leakage data of the cell between different dates in different similar date groups, and determines that the cell belongs to a gas leakage fluctuation cell based on the changes. Based on the gas usage data of different users within the cell, the changes in the gas usage data of different users are determined, and the dormant control strategy of the gas meter seal of different users is determined based on the changes in the gas usage data of the users.

[0010] A further technical solution is that the gas meter seal is a gas meter seal based on an embedded chip, which at least includes the functions of data transmission and data monitoring.

[0011] A further technical solution is that the installation data of the gas meter seals of the users include the number of users who have installed gas meter seals in the community.

[0012] A further technical solution is to determine whether the monitoring reliability of the leakage security risk of the cell meets the requirements, specifically including: Determine the number of users in the community who have installed gas meter seals based on the installation data of the gas meter seals of the users; Determine the number of users without gas meter seals installed based on the number of users within the cell and the number of users with gas meter seals installed within the cell, and use the number as the number of users without gas meter seals installed; According to the number of users for which table blocking is not installed, it is determined whether the reliability of monitoring the leakage security risk of the cell meets the requirement.

[0013] A further technical solution is that when the number of users who have not installed the table blocker in the cell is greater than a preset user number threshold, it is determined that the monitoring reliability of the leakage security risk of the cell does not meet the requirements.

[0014] A further technical solution is that the method for determining the dormant control strategy of the user's gas meter seal is: Determine an average of the gas usage of the user on different dates based on the gas usage data of the user on different dates, and use the average as a reference usage; Obtaining deviations between the gas usage of the user on different dates within a preset time period and the reference usage, and taking the date on which the deviation from the reference usage is greater than a preset usage deviation threshold as the usage deviation date; The dormancy control strategy for the gas meter seal of the user is determined according to the proportion of the number of usage deviation dates within a preset period.

[0015] A further technical solution is to determine the dormant control strategy for the user's gas meter seal based on the proportion of usage deviation dates within a preset period, specifically including: When the proportion of the number of usage deviation dates within the preset period is greater than the preset proportion of the number of usage deviation dates, sleep control is performed using the preset cycle and the detection result of the vibration signal; When the proportion of the number of usage deviation dates within the preset time period is not greater than the preset proportion of the number of usage deviation dates, the detection result of the vibration signal is used to perform wake-up control.

[0016] A further technical solution is to use the detection result of the vibration signal to perform wake-up control, specifically including: When the gas meter seal generates a vibration signal, the gas meter seal is immediately unsealed and detected and uploaded to a remote platform.

[0017] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings; Figure 1 This is a framework diagram of a smart gas meter seal based on an embedded chip; Figure 2 It is a flow chart of a data processing method; Figure 3 It is a flow chart for determining whether the monitoring reliability of the leakage security risk of the cell meets the requirements; Figure 4 This is a flow chart of a method for determining a gas leakage fluctuation zone. DETAILED DESCRIPTION

[0020] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0021] Example 1 like Figure 1 As shown, the present application provides a smart gas meter seal based on an embedded chip, specifically comprising: Data transmission module, vibration detection module, sleep control module; The data transmission module is responsible for uploading the unsealing status of the gas meter seal to the remote platform using the embedded chip; The vibration detection module is responsible for performing unsealing detection processing on the gas meter seal; The sleep control module is responsible for performing sleep control processing of the gas meter seal using a preset strategy.

[0022] Furthermore, the embedded chip is used to upload the unsealing status of the gas meter to a remote platform, specifically including: The embedded chip is used to control the communication module and upload the unsealing status of the gas meter seal to the remote platform.

[0023] Specifically, the gas meter seal unsealing detection process includes: When the proportion of the number of moments when the gas meter seal vibrates within the preset time period is greater than the proportion of the preset number of vibration moments, it is determined that the gas meter seal has a risk of being unsealed.

[0024] Example 2 Second, as Figure 2As shown, the present application provides a data processing method, which is applied to the above-mentioned smart gas meter seal based on embedded chip, specifically comprising: S1 determines based on the installation data of the gas meter seals of users in the community that the monitoring reliability of the leakage safety risk of the community meets the requirements, and then proceeds to the next step; When the proportion of users with gas meter seals installed is greater than 0.9, it is determined that the monitoring reliability of the leakage safety risk of the community meets the requirements.

[0025] When the monitoring reliability of the leakage safety risk of the community does not meet the requirements, when the leakage volume is too large, it is impossible to determine whether it is a pipeline leak or a user stealing by opening the meter seal. Once the pipeline leaks, the safety risk is difficult to meet the requirements.

[0026] S2: determining similarities in the gas usage data of the cell at different time periods on different dates, and dividing the dates into different similar date groups based on the similarities; The dates whose gas usage deviations in different time periods are all within a preset deviation range are grouped into the same similar date group.

[0027] S3 obtains the changes in the gas leakage data of the cell between different dates in different similar date groups, and determines that the cell belongs to a gas leakage fluctuation cell based on the changes. Based on the gas usage data of different users within the cell, the changes in the gas usage data of different users are determined, and the dormant control strategy of the gas meter seal of different users is determined based on the changes in the gas usage data of the users.

[0028] The baseline leakage amount in different similar date groups is determined based on the changes in the gas leakage data of the community between different dates in different similar date groups. The leakage deviation date in different similar date groups is determined based on the deviation from the baseline leakage amount in the corresponding similar date groups. The fluctuating date group is a similar date group in which the proportion of the number of leakage deviation dates is greater than the preset leakage deviation proportion. When the sum of the proportions of the number of dates in different fluctuating date groups is greater than 0.2, the community is indeed a gas leakage fluctuating community.

[0029] Furthermore, the gas meter seal is a gas meter seal based on an embedded chip, which at least includes the functions of data transmission and data monitoring.

[0030] It can be understood that the installation data of the gas meter seals of the users include the number of users who have installed gas meter seals in the community.

[0031] Specifically, such as Figure 3As shown, determining that the monitoring reliability of the leakage security risk of the cell meets the requirements specifically includes: Determine the number of users in the community who have installed gas meter seals based on the installation data of the gas meter seals of the users; Determine the number of users without gas meter seals installed based on the number of users within the cell and the number of users with gas meter seals installed within the cell, and use the number as the number of users without gas meter seals installed; According to the number of users for which table blocking is not installed, it is determined whether the reliability of monitoring the leakage security risk of the cell meets the requirement.

[0032] Furthermore, when the number of users who have not installed the table blocking service within the cell is greater than a preset user number threshold, it is determined that the monitoring reliability of the leakage security risk of the cell does not meet the requirement.

[0033] It should be noted that when the monitoring reliability of the leakage safety risk of the cell does not meet the requirements, users with gas meter seals installed inside the cell are put into sleep control using the preset cycle and the detection results of the vibration signal.

[0034] It is understood that the sleep control is performed using the preset period and the detection result of the vibration signal, specifically including: Performing a wake-up process on the gas meter seal at a preset period, performing a gas meter seal unsealing detection process according to a preset time threshold, and uploading the process to a remote platform; When the gas meter seal generates a vibration signal, the gas meter seal is immediately unsealed and detected and uploaded to a remote platform.

[0035] Furthermore, the preset period is determined based on the gas leakage data of the cell on the current date, and specifically based on a preset period threshold corresponding to the gas leakage amount.

[0036] In another possible embodiment, determining whether the monitoring reliability of the leakage security risk of the cell meets the requirement specifically includes: Determine the number of users in the community who have installed gas meter seals based on the installation data of the gas meter seals of the users; Based on the percentage of users with gas meter seals installed among users using gas usage data on different dates, determine the reliability coefficient of gas leak monitoring on different dates; Whether the monitoring reliability of the leakage safety risk of the cell meets the requirements is determined based on the average values ​​of the gas leakage monitoring reliability coefficients on different dates.

[0037] Furthermore, when the average value of the gas leakage monitoring reliability coefficients on different dates is greater than the preset monitoring reliability coefficient, it is determined that the monitoring reliability of the leakage safety risk of the cell meets the requirement.

[0038] In another possible embodiment, determining whether the monitoring reliability of the leakage security risk of the cell meets the requirement specifically includes: S11 determines the number of users in the community that have installed gas meter seals based on the gas meter seal installation data of the users, and determines the gas leak monitoring reliability coefficient on different dates based on the proportion of users that have installed gas meter seals among the users using gas usage data on different dates; S12 determines the gas leakage risk coefficients on different dates based on the gas leakage data of the residential area on different dates; S13 determines the safety risk monitoring reliability coefficient of the cell based on the gas leakage risk coefficient and the gas leakage monitoring reliability coefficient on different dates, and uses the safety risk monitoring reliability coefficient to determine whether the leakage safety risk monitoring reliability of the cell meets the requirements.

[0039] Furthermore, when the reliability coefficient of the security risk monitoring of the cell is greater than a preset reliability coefficient threshold, it is determined that the reliability of the monitoring of the leakage security risk of the cell meets the requirement.

[0040] Optionally, the above step S11 includes the following contents: S111 determines the number of users in the cell who have installed gas meter seals based on the installation data of the gas meter seals of the users. When the proportion of users who have installed gas meter seals in the cell is less than the proportion of the preset number of users, it is determined that the reliability of monitoring the leakage safety risk of the cell does not meet the requirements. When the proportion of users who have installed gas meter seals in the cell is not less than the proportion of the preset number of users, the process proceeds to step S112. S112 determines the number of users without gas meter seals installed based on the number of users within the cell and the number of users with gas meter seals installed within the cell, and uses the number as the number of users without gas meter seals installed. If the number of users without gas meter seals installed does not meet the requirement, it is determined that the monitoring reliability of the leakage safety risk of the cell does not meet the requirement. If the number of users without gas meter seals installed meets the requirement, the process proceeds to step S113. S113 determines the gas leak monitoring reliability coefficient on different dates based on the percentage of users with gas meter seals installed among users using gas usage data on different dates. If there is a date on which the gas leak monitoring reliability coefficient does not meet the requirement, the process proceeds to step S114. If there is no date on which the gas leak monitoring reliability coefficient does not meet the requirement, it is determined that the leakage safety risk monitoring reliability of the cell meets the requirement. S114 When the number of dates on which the gas leakage monitoring reliability coefficient does not meet the requirements is greater than the preset number of monitoring deviation dates, it is determined that the monitoring reliability of the leakage safety risk of the cell does not meet the requirements. When the number of dates on which the gas leakage monitoring reliability coefficient does not meet the requirements is not greater than the preset number of monitoring deviation dates, proceed to step S12.

[0041] Optionally, the above step S12 includes the following contents: S121: If it is determined based on the gas leakage data of the cell on different dates that there is no date with gas leakage data greater than a preset leakage amount, then it is determined that the monitoring reliability of the leakage safety risk of the cell meets the requirements. If there is a date with gas leakage data greater than the preset leakage amount, the process proceeds to step S122; In step S122, the date on which the gas leakage data exceeds the preset leakage amount is regarded as the leakage risk date, and the average value of the gas leakage monitoring reliability coefficients of different leakage risk dates is obtained. If the average value of the gas leakage monitoring reliability coefficients of different leakage risk dates does not meet the requirement, the process proceeds to step S123. If the average value of the gas leakage monitoring reliability coefficients of different leakage risk dates meets the requirement, the process proceeds to step S124. S123: When the number of the leakage risk dates is greater than the preset number of risk dates, it is determined that the monitoring reliability of the leakage security risk of the cell does not meet the requirement; when the number of the leakage risk dates is not greater than the preset number of risk dates, the process proceeds to step S124; S124 determines the monitoring risk coefficients for different dates based on the gas leakage data and gas leakage monitoring reliability coefficients for different dates. When the proportion of dates whose monitoring risk coefficients do not meet the requirements is greater than the proportion of the preset leakage risk dates, it is determined that the monitoring reliability of the leakage safety risk of the cell does not meet the requirements. When the proportion of dates whose monitoring risk coefficients do not meet the requirements is not greater than the proportion of the preset leakage risk dates, proceed to step S13.

[0042] Furthermore, the similarity of the gas usage data includes deviations of gas usage in different time periods.

[0043] Specifically, the dates are divided into different similar date groups, including: The dates whose gas usage deviations in different time periods are all within a preset deviation range are grouped into the same similar date group.

[0044] It should be noted that the change in the gas leakage data between different dates includes the deviation of the gas leakage amount between different dates.

[0045] Specifically, such as Figure 4 As shown, the method for determining the gas leakage fluctuation area is: Determine the baseline leakage amount in different similar date groups based on the change of gas leakage data of the cell between different dates in different similar date groups; Determining the leakage deviation date in different similar date groups based on the deviation from the baseline leakage amount in the corresponding similar date group; The leakage fluctuation coefficient of the cell is determined by averaging the proportions of the number of leakage deviation dates in different similar date groups, and whether the cell is a gas leakage fluctuation cell is determined based on the leakage fluctuation coefficient.

[0046] Furthermore, the baseline leakage volume is an average value of gas leakage data on different dates in the similar date group.

[0047] It should be noted that the leakage deviation date is a date whose deviation from the baseline leakage amount in the corresponding similar date group is greater than a preset leakage deviation amount.

[0048] Furthermore, when the leakage fluctuation coefficient of the cell is greater than a preset fluctuation coefficient threshold, the cell is determined to be a gas leakage fluctuation cell.

[0049] It can be understood that when the cell does not belong to the gas leakage fluctuation cell, when the deviation between the gas leakage amount in the cell and the baseline leakage amount in the corresponding similar date group is greater than the preset value of the deviation, the remote monitoring platform is used to communicate data with the gas meter seal, and the preset cycle and the detection results of the vibration signal are used for sleep control.

[0050] Optionally, the method for determining the gas leakage fluctuation zone is: Determine the baseline leakage amount in different similar date groups based on the change of gas leakage data of the cell between different dates in different similar date groups; Determining the leakage deviation date in different similar date groups based on the deviation from the baseline leakage amount in the corresponding similar date group; The fluctuation date group of the cell is determined by the proportion of the number of leakage deviation dates in different similar date groups, and whether the cell is a gas leakage fluctuation cell is determined based on the sum of the proportions of the number of dates in different fluctuation date groups.

[0051] Furthermore, the fluctuating date group is a similar date group in which the proportion of the number of leakage deviation dates is greater than the preset proportion of the number of leakage deviation dates.

[0052] It should be noted that when the sum of the proportions of the number of dates in different fluctuation date groups is greater than the preset date proportion threshold, the cell is indeed a gas leakage fluctuation cell.

[0053] Optionally, the method for determining the gas leakage fluctuation zone is: S31 determines the baseline leakage amount in different similar date groups based on the change in gas leakage data of the cell between different dates in different similar date groups, and determines the leakage deviation date in different similar date groups based on the deviation from the baseline leakage amount in the corresponding similar date group; S32 determines the leakage fluctuation amount in different similar date groups based on the proportion of leakage deviation dates in different similar date groups and the deviation of different leakage deviation dates from the baseline leakage amount; S33 determines the weight coefficients in different similar date groups based on the proportion of the number of dates in different similar date groups, and determines the leakage fluctuation coefficient of the cell based on the leakage fluctuation amount in different similar date groups, and determines whether the cell is a gas leakage fluctuation cell based on the leakage fluctuation coefficient.

[0054] Optionally, the above step S31 includes the following contents: S311 determines the baseline leakage amount in different similar date groups based on the change in gas leakage data between different dates in different similar date groups. If it is determined that there is no leakage deviation date in any of the different similar date groups, then the cell is determined not to be a gas leakage fluctuation cell. If there is a leakage deviation date in the similar date group, then the process proceeds to step S312. S312 obtains the sum of the leakage deviation dates in different similar date groups. If the sum of the leakage deviation dates in different similar date groups does not meet the requirement, the cell is determined to be a gas leakage fluctuation cell. If the sum of the leakage deviation dates in different similar date groups meets the requirement, the process proceeds to step S313. If it is determined in step S313 that the cell has a fluctuating date group based on the proportion of the leakage deviation dates in different similar date groups, the process proceeds to step S314; if the cell does not have a fluctuating date group, the process proceeds to step S32; S314: When the sum of the proportions of the number of dates in different fluctuation date groups does not meet the requirement, the cell is determined to be a gas leakage fluctuation cell. When the sum of the proportions of the number of dates in different fluctuation date groups meets the requirement, proceed to step S32.

[0055] Optionally, the above step S32 includes the following contents: S321 determines the leakage fluctuation amount in different similar date groups based on the proportion of leakage deviation dates in different similar date groups and the deviation of different leakage deviation dates from the baseline leakage amount. If the average value of the leakage fluctuation amount in different similar date groups does not meet the requirements, the cell is determined to be a gas leakage fluctuation cell. If the average value of the leakage fluctuation amount in different similar date groups meets the requirements, the process proceeds to step S322. S322: When there is a similar date group whose leakage fluctuation amount does not meet the requirement, go to step S323; when there is no similar date group whose leakage fluctuation amount does not meet the requirement, go to step S33; S323 When the sum of the proportions of the number of dates in the similar date groups that do not meet the requirements for different leakage fluctuation amounts does not meet the requirements, the cell is determined to be a gas leakage fluctuation cell. When the sum of the proportions of the number of dates in the similar date groups that do not meet the requirements for different leakage fluctuation amounts meet the requirements, proceed to step S33.

[0056] Furthermore, the method for determining the dormant control strategy of the user's gas meter seal is: Determine an average of the gas usage of the user on different dates based on the gas usage data of the user on different dates, and use the average as a reference usage; Obtaining deviations between the gas usage of the user on different dates within a preset time period and the reference usage, and taking the date on which the deviation from the reference usage is greater than a preset usage deviation threshold as the usage deviation date; The dormancy control strategy for the gas meter seal of the user is determined according to the proportion of the number of usage deviation dates within a preset period.

[0057] Specifically, the dormant control strategy for the gas meter seal of the user is determined based on the proportion of the number of usage deviation dates within a preset period, which specifically includes: When the proportion of the number of usage deviation dates within the preset period is greater than the preset proportion of the number of usage deviation dates, sleep control is performed using the preset cycle and the detection result of the vibration signal; When the proportion of the number of usage deviation dates within the preset time period is not greater than the preset proportion of the number of usage deviation dates, the detection result of the vibration signal is used to perform wake-up control.

[0058] It should be noted that the wake-up control using the detection result of the vibration signal specifically includes: When the gas meter seal has a vibration signal, the gas meter seal is immediately unsealed and detected and uploaded to the remote platform. In another possible embodiment, the method for determining the dormant control strategy of the user's gas meter seal is: determining, based on the gas usage data of the user on different dates, a percentage of days on which the user used gas, and when the percentage of days on which the user used gas is less than a preset percentage threshold, determining to use the detection result of the vibration signal for wake-up control; When the percentage of days on which the user has used gas is not less than the preset percentage threshold: determining an average of the gas usage of the user on different days based on the gas usage data of the user on different days, and using the average as a reference usage; and determining to use the detection result of the vibration signal for wake-up control when the reference usage is less than a preset usage threshold; When the reference usage is not less than the preset usage threshold: Obtaining deviations between the gas usage of the user on different dates within a preset time period and the reference usage, and determining to use the detection result of the vibration signal for wake-up control when there is no date within the preset time period on which the deviation from the reference usage is greater than a preset usage deviation threshold; When there is a date within a preset period of time on which the deviation from the reference usage is greater than a preset usage deviation threshold: The date whose deviation from the reference usage is greater than a preset usage deviation threshold is used as a usage deviation date. If the proportion of the number of usage deviation dates within a preset time period does not meet the requirement, it is determined that sleep control needs to be performed using the preset cycle and the detection result of the vibration signal; When the percentage of usage deviation dates within the preset period meets the requirements: Obtain the deviation between the reference usage and different dates within the preset period, and determine the user's usage abnormality coefficient based on the proportion of usage deviation dates within the preset period, and determine the dormant control strategy for the user's gas meter seal based on the usage abnormality coefficient.

[0059] Furthermore, when the usage abnormality coefficient is less than a preset usage abnormality coefficient threshold, it is determined to perform wake-up control using the detection result of the vibration signal.

[0060] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0061] The foregoing description of this specification describes specific embodiments. 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 from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0062] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. An intelligent gas meter seal based on embedded chip, characterized in that: Specifically include: Data transmission module, vibration detection module, sleep control module; The data transmission module is responsible for uploading the unsealing status of the gas meter seal to the remote platform using the embedded chip; The vibration detection module is responsible for performing unsealing detection processing on the gas meter seal; The sleep control module is responsible for performing sleep control processing of the gas meter seal using a preset strategy.

2. The smart gas meter seal based on embedded chip according to claim 1, characterized in that: The embedded chip is used to upload the unsealing status of the gas meter to a remote platform, specifically including: The embedded chip is used to control the communication module and upload the unsealing status of the gas meter seal to the remote platform.

3. The smart gas meter seal based on embedded chip according to claim 1, characterized in that: Carry out unsealing inspection and processing of gas meter seals, including: When the proportion of the number of moments when the gas meter seal vibrates within the preset time period is greater than the proportion of the preset number of vibration moments, it is determined that the gas meter seal has a risk of being unsealed.

4. A data processing method, applied to the smart gas meter seal based on embedded chip according to any one of claims 1 to 3, characterized in that: Specifically include: When it is determined based on the installation data of the gas meter seals of users within the community that the monitoring reliability of the leakage safety risk of the community meets the requirements, proceed to the next step; Determining similarities in the gas usage data of the cell during different time periods on different dates, and dividing the dates into different similar date groups based on the similarities; Obtain changes in gas leakage data of the cell between different dates in different similar date groups, and determine that the cell belongs to a gas leakage fluctuation cell based on the changes. Based on the gas usage data of different users within the cell, determine changes in the gas usage data of different users, and determine the dormant control strategy for the gas meters of different users based on the changes in the gas usage data of the users.

5. The data processing method according to claim 4, wherein: The gas meter seal is a gas meter seal based on an embedded chip, and at least includes functions of data transmission and data monitoring.

6. The data processing method according to claim 4, wherein: The installation data of the gas meter seals of the users includes the number of users who have installed gas meter seals in the community.

7. The data processing method according to claim 4, wherein: Determining that the monitoring reliability of the leakage security risk of the cell meets the requirements specifically includes: Determine the number of users in the community who have installed gas meter seals based on the installation data of the gas meter seals of the users; Determine the number of users without gas meter seals installed based on the number of users within the cell and the number of users with gas meter seals installed within the cell, and use the number as the number of users without gas meter seals installed; According to the number of users for which table blocking is not installed, it is determined whether the reliability of monitoring the leakage security risk of the cell meets the requirement.

8. The data processing method according to claim 4, wherein: When the monitoring reliability of the leakage safety risk of the cell does not meet the requirements, users with gas meter seals installed inside the cell are put into sleep mode using a preset period and the detection result of the vibration signal.

9. The data processing method according to claim 4, wherein: The method for determining the dormant control strategy of the user's gas meter seal is: Determine an average of the gas usage of the user on different dates based on the gas usage data of the user on different dates, and use the average as a reference usage; Obtaining deviations between the gas usage of the user on different dates within a preset time period and the reference usage, and taking the date on which the deviation from the reference usage is greater than a preset usage deviation threshold as the usage deviation date; The dormancy control strategy for the gas meter seal of the user is determined according to the proportion of the number of usage deviation dates within a preset period.

10. The data processing method according to claim 9, wherein: The dormancy control strategy for the user's gas meter seal is determined based on the proportion of usage deviation dates within a preset period, specifically including: When the proportion of the number of usage deviation dates within the preset period is greater than the preset proportion of the number of usage deviation dates, sleep control is performed using the preset cycle and the detection result of the vibration signal; When the proportion of the number of usage deviation dates within the preset time period is not greater than the preset proportion of the number of usage deviation dates, the detection result of the vibration signal is used to perform wake-up control.

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