A natural gas user usage data collection and management system based on the Internet

Abstract

The present invention belongs to the technical field of natural gas data monitoring and management, and discloses a natural gas user usage data collection and management system based on the Internet, including a usage period division module, a historical metering deviation analysis module, a metering anomaly identification module, a natural gas usage quality analysis module, an abnormal response quality analysis module, a natural gas equipment maintenance judgment module and a data storage library. When judging whether a target unit has a metering anomaly, the present invention analyzes the metering anomaly based on a real-time metering deviation index and a historical metering deviation index. This analysis method improves the accuracy of metering anomaly judgment. When performing a natural gas equipment maintenance analysis, the present invention uses a quality index and an abnormal response quality index based on the natural gas abnormal response quality index of each abnormal user to judge whether natural gas equipment maintenance is required. This analysis method ensures the predictability and comprehensiveness of the equipment abnormality analysis.

Description

Technical Field

[0001] The invention belongs to the technical field of natural gas data monitoring and management, and relates to a natural gas user usage data collection and management system based on the Internet. Background Art

[0002] Natural gas is used as a civil and industrial fuel for home cooking, heating, hot water supply, etc. In actual use, natural gas, as a widely used clean energy, brings convenience but also brings certain safety risks, such as leakage and explosion. Natural gas usage data plays a vital role in the process of metering anomaly analysis and equipment maintenance needs. It can reveal the health status and potential failures of equipment and help companies take preventive maintenance measures before equipment failures occur. Therefore, Internet-based natural gas user usage data collection and management is of great significance.

[0003] In the traditional natural gas user data collection and management process, when judging metering anomalies, the actual usage situation is usually compared with the display of the detection device. This analysis method ignores the impact of equipment cumulative errors and customary metering deviations, which may cause inaccurate metering anomaly judgments. When the actual error is still within the allowable range, metering anomaly confirmation and subsequent adjustment operations may lead to unnecessary waste of resources, affect the continuity of natural gas use, and reduce the effectiveness of natural gas data utilization.

[0004] In the traditional natural gas user data collection and management process, when managing abnormal situations, the analysis is usually based on the natural gas use accidents that have already occurred, ignoring the comprehensive analysis of the abnormal response quality and the natural gas use quality. This analysis method lacks foresight and comprehensiveness, and cannot timely warn of potential risks, increasing the cost and complexity of handling accidents. Due to the lack of an immediate response mechanism, the best time for handling may be missed, and delayed response may lead to aggravated consequences of the accident, increasing economic losses and social impacts. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a natural gas user usage data collection and management system based on the Internet is now proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: a natural gas user usage data collection and management system based on the Internet, including: a usage period division module, which is used to divide each natural day into several usage periods according to equal intervals, and record the natural gas usage unit to be analyzed as the target unit, and record each natural gas user of the target unit as a designated user.

[0007] The historical measurement deviation analysis module is used to analyze the historical measurement deviation of the target unit in each usage period based on the historical measurement records.

[0008] The metering anomaly identification module is used to obtain the target unit natural gas consumption and the natural gas consumption of each designated user during the current usage period displayed by the natural gas metering equipment, and then analyze the metering anomaly during the current monitoring period, and determine whether the target unit has a metering anomaly. If there is a metering anomaly, the designated user with the anomaly is further identified and recorded as an abnormal user.

[0009] The natural gas usage quality analysis module is used to obtain the natural gas usage data of each abnormal user and then analyze the natural gas usage quality index of each abnormal user.

[0010] The abnormal response quality analysis module is used to analyze the abnormal response data of each abnormal user based on the historical abnormal response records, and then analyze the abnormal response quality index of each abnormal user.

[0011] The natural gas equipment maintenance judgment module is used to judge whether it is necessary to perform natural gas equipment maintenance on each abnormal user based on the natural gas usage quality index and abnormal response quality index of each abnormal user.

[0012] Data repository for storing historical metering records, historical natural gas usage records, and historical abnormal response records.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) When determining whether a target unit has a metering anomaly, the present invention analyzes the metering anomaly based on the real-time metering deviation index and the historical metering deviation index. This analysis method improves the accuracy of metering anomaly judgment. Metering anomaly confirmation and subsequent adjustment operations are performed only when the actual error exceeds the allowable range, thereby avoiding unnecessary waste of resources and improving the efficiency of natural gas equipment maintenance and management.

[0014] (2) When performing natural gas equipment maintenance analysis, the present invention uses a quality index and an abnormal response quality index based on the natural gas abnormal response quality index of each abnormal user to determine whether natural gas equipment maintenance is required for each abnormal user. This analysis method ensures the predictability and comprehensiveness of equipment abnormality analysis, can provide timely warnings of potential risks, reduces the cost and complexity of handling accidents, and reduces economic losses and social impacts.

[0015] (3) The present invention also adopts a method of analyzing metering anomalies for different usage periods when analyzing metering anomalies. This analysis method can analyze the user's usage patterns and habits in more detail and identify the real metering anomalies more accurately by distinguishing different usage periods. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0018] Figure 2 This is a schematic diagram of natural gas transportation according to the present invention.

[0019] Figure 3 This is a logic flow chart of the natural gas equipment maintenance judgment module of the present invention.

[0020] Figure numbers: 1--main pipeline, 2--branch pipeline. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] See also Figure 1 As shown, the present invention provides an Internet-based natural gas user usage data collection and management system, the system includes a usage period division module, a historical metering deviation analysis module, a metering anomaly identification module, a natural gas usage quality analysis module, an abnormal response quality analysis module, a natural gas equipment maintenance judgment module and a data storage library, wherein the usage period division module is connected to the historical metering deviation analysis module, the historical metering deviation analysis module is connected to the metering anomaly identification module, the metering anomaly identification module is connected to the natural gas usage quality analysis module, the natural gas usage quality analysis module and the abnormal response quality analysis module are both connected to the natural gas equipment maintenance judgment module, and the data storage library is respectively connected to the historical metering deviation analysis module, the natural gas usage quality analysis module and the abnormal response quality analysis module.

[0023] The usage period division module is used to divide each natural day into a number of usage periods according to equal intervals, and record the natural gas usage unit to be analyzed as the target unit, and record each natural gas user of the target unit as a designated user.

[0024] It should be noted that the reason for dividing each natural day into several usage periods of equal intervals is that dividing a day into multiple equally spaced periods can more carefully analyze the user's usage habits and patterns. The natural gas usage in different time periods may vary greatly, so the accuracy of anomaly detection can be improved by subdividing the time periods.

[0025] Exemplary, a method of dividing each natural day into several usage time periods with equal intervals: the interval is 2 hours, and the natural day is further divided into 0:00-2:00, 2:00-4:00, 4:00-6:00, 6:00-8:00, 8:00-10:00, 10:00-12:00, 12:00-14:00, 14:00-16:00, 16:00-18:00, 18:00-20:00, 20:00-22:00, 22:00-24:00.

[0026] For example, the target unit may be a residential area, a factory or a business district.

[0027] The historical measurement deviation analysis module is used to analyze the historical measurement deviation of the target unit in each usage period based on the historical measurement records.

[0028] As a preferred embodiment of the above scheme, the historical metering deviation situation requires the construction of a historical metering deviation index for each usage period, specifically as follows: extract the historical metering records stored in the data repository, and obtain the usage period, target unit natural gas usage and natural gas usage of each designated user corresponding to each historical metering record.

[0029] The historical metering records are classified according to the usage period to obtain the historical metering records corresponding to the usage period, and the natural gas usage of each designated user corresponding to each historical metering record in each usage period is accumulated and calculated to obtain the reference natural gas usage corresponding to each historical record in each usage period.

[0030] The target unit natural gas consumption corresponding to each historical record in each usage period is compared with the reference natural gas consumption to obtain the historical measurement deviation index corresponding to each historical measurement record in each usage period, and then the mean is calculated to obtain the historical measurement deviation index in each usage period.

[0031] It should be further explained that the specific analysis method of the historical measurement deviation index corresponding to each historical measurement record is: using the formula Get the historical measurement deviation index HMd corresponding to each historical measurement record k , where k represents the historical measurement record number, k = 1, 2...p, p represents the number of historical measurement records, Q krepresents the target unit natural gas consumption corresponding to the kth historical measurement record, Q k0 represents the reference natural gas usage corresponding to the kth historical measurement record, where e represents a natural constant.

[0032] For explanation, see Figure 2 As shown, the target unit natural gas consumption mentioned in the above scheme refers to the total natural gas consumption of the target unit, that is, the main pipeline natural gas transmission volume shown in the figure, and the reference natural gas consumption refers to the cumulative total natural gas consumption after summing up the natural gas consumption of each designated user in the target unit, that is, the sum of the natural gas transmission volumes of each branch pipeline shown in the figure. In theory, the total natural gas consumption of the target unit and the cumulative total natural gas should be consistent, but in practice, the total natural gas consumption of the target unit and the cumulative total natural gas may be inconsistent, which specifically includes two situations. The first is that the total natural gas consumption of the target unit is greater than the cumulative total natural gas, and the second is that the total natural gas consumption of the target unit is less than the cumulative total natural gas.

[0033] It should be noted that the reasons for the inconsistency between the total natural gas usage of the target unit and the total accumulated natural gas volume may be the low air tightness of the main pipeline, the low air tightness of the branch pipeline, abnormal ignition of the natural gas equipment, pipeline blockage, etc.

[0034] The metering anomaly identification module is used to obtain the target unit natural gas usage and the natural gas usage of each designated user in the current usage period displayed by the natural gas metering device, and then analyze the metering anomaly in the current monitoring period, and determine whether the target unit has a metering anomaly. If there is a metering anomaly, the designated user with the anomaly is further identified and recorded as an abnormal user.

[0035] As a preferred embodiment of the above scheme, the metering abnormality situation requires the construction of a metering abnormality index, which is specifically analyzed as follows: extract the target unit natural gas usage and the natural gas usage of each designated user in the current usage period displayed by the natural gas metering device, and obtain the number of designated users of the target unit in the current usage period.

[0036] It needs to be further supplemented that the specific steps of extracting the target unit natural gas usage and the natural gas usage of each designated user in the current usage period displayed by the natural gas metering device are: obtaining the target unit natural gas usage at the end time and the target unit natural gas usage at the start time of the current usage period, and then performing a difference calculation to obtain the target unit natural gas usage in the current usage period; obtaining the natural gas usage of each designated user at the end time and the natural gas usage of each designated user at the start time of the current usage period, and then performing corresponding difference calculations to obtain the natural gas usage of each designated user in the current usage period.

[0037] The natural gas consumption of each designated user in the current usage period is accumulated and calculated to obtain the reference total natural gas consumption of the target unit in the current usage period, and then the difference between the natural gas consumption of the target unit in the current usage period is calculated to obtain the natural gas consumption deviation of the target unit in the current usage period, and then the ratio is calculated to the reference total natural gas consumption to obtain the real-time metering deviation index in the current usage period.

[0038] The actual number of natural gas accounts opened by the target unit during the current usage period is extracted, and the metering anomaly correction factor during the current usage period is calculated by ratioing the number of designated users of the target unit during the current usage period to the actual number of natural gas accounts opened.

[0039] It needs to be explained that when conducting the metering anomaly index analysis of the current usage period, the reason for using the ratio of the number of designated users of the target unit in the current usage period to the actual number of natural gas accounts opened is used as the metering anomaly correction factor: by using the correction factor, external interference caused by changes in the number of users can be eliminated, so that the analysis can focus more on the performance of the metering equipment itself. The correction factor can help adjust the metering data of different usage periods to make it closer to the actual situation.

[0040] The historical measurement deviation index in each usage period is matched with the current usage period to obtain the historical measurement deviation index of the current usage period.

[0041] The measurement anomaly index of the current usage period is obtained based on the real-time measurement deviation index, historical measurement deviation index and measurement anomaly correction factor analysis within the current usage period.

[0042] It is necessary to further explain that the specific analysis method of the measurement anomaly index during the current usage period is: using the formula The measurement anomaly index ζ of the current usage period is obtained, where HMd represents the historical measurement deviation index and σ0 represents the measurement anomaly correction factor in the current usage period.

[0043] It should be noted that the present invention analyzes the metering anomaly situation based on the real-time metering deviation index and the historical metering deviation index when judging whether a metering anomaly occurs in the target unit. This analysis method improves the accuracy of metering anomaly judgment, and only confirms the metering anomaly and performs subsequent adjustment operations when the actual error exceeds the allowable range. This can avoid unnecessary waste of resources and improve the efficiency of natural gas equipment maintenance and management.

[0044] It should be further explained that the present invention also adopts a method of analyzing metering anomalies for different usage time periods when analyzing metering anomalies. This analysis method can analyze the user's usage patterns and habits more carefully and identify real metering anomalies more accurately by distinguishing different usage time periods.

[0045] As a preferred embodiment of the above scheme, the determination of whether the target unit has a metering abnormality is specifically as follows: the metering abnormality index of the current usage period is compared with a preset metering abnormality index threshold to obtain a determination result of whether the target unit has a metering abnormality.

[0046] It needs to be further supplemented that the determination of whether a metering anomaly occurs in the target unit is specifically as follows: the metering anomaly index of the current usage period is compared with a pre-set metering anomaly index threshold; if the metering anomaly index of the current usage period is greater than the metering anomaly index threshold, it is determined that a metering anomaly occurs; if the metering anomaly index of the current usage period is less than or equal to the metering anomaly index threshold, it is determined that no metering anomaly occurs.

[0047] Exemplarily, the measurement anomaly index threshold is 0.25.

[0048] It should be noted that the basis for setting the threshold of the measurement anomaly index is to analyze historical measurement data to determine the deviation level within the normal range. By observing long-term trends and seasonal changes, reasonable thresholds can be set. The threshold is set to be able to identify and detect measurement data that exceeds the normal range in a timely manner. This helps to discover potential problems, such as measurement equipment failure or abnormal usage behavior.

[0049] As a preferred embodiment of the above scheme, the identification of designated users with abnormalities is specifically as follows: extracting the natural gas usage of each designated user in the current usage period displayed by the natural gas metering device, and using the flow detection device to obtain the actual natural gas flow of each designated user in the current usage period.

[0050] Based on the natural gas usage and actual flow of each designated user in the current usage period, the actual usage deviation of each designated user in the current monitoring period is obtained, and then compared with the preset actual usage deviation threshold to obtain the designated users with abnormalities.

[0051] It should be further explained that the actual usage deviation of each designated user in the current monitoring period is obtained as follows: Get the actual usage deviation θ of each specified user during the current monitoring period s , where Q s Indicates the natural gas usage of the sth specified user in the current usage period, Q s实际 It indicates the actual natural gas flow of the sth designated user in the current usage period, s indicates the designated user number, s=1, 2...r, r indicates the number of designated users.

[0052] The natural gas usage quality analysis module is used to obtain the natural gas usage data of each abnormal user, and then analyze the natural gas usage quality index of each abnormal user.

[0053] As a preferred embodiment of the above scheme, the natural gas usage data includes the one-time ignition success rate and flow rate fluctuation, which is specifically analyzed as follows: the designated user and ignition times corresponding to each historical natural gas usage record are obtained from the historical natural gas usage records stored in the data repository.

[0054] The historical natural gas usage records are classified according to designated users to obtain historical natural gas usage records corresponding to the designated users, and then matched with the abnormal users to obtain historical natural gas usage records corresponding to the abnormal users.

[0055] The number of ignitions of each abnormal user corresponding to each historical natural gas usage record is identified to obtain the historical natural gas usage record corresponding to one ignition of each abnormal user, and the number of historical natural gas usage records corresponding to one ignition of each abnormal user and the total number of historical natural gas usage records are obtained by counting.

[0056] Using the formula Calculate the ignition success rate Fir of each abnormal user i , where Ltf i Indicates the number of historical natural gas usage records for an ignition by the i-th abnormal user, Ltf i0 represents the total number of historical natural gas usage records of the i-th abnormal user, i represents the number of the abnormal user, i=1, 2...m, m represents the number of abnormal users.

[0057] The flow rate detection device is used to obtain the natural gas flow rate of the natural gas pipeline corresponding to each abnormal user in the current use period, and then the natural gas flow rate change curve corresponding to each abnormal user in the current use period is plotted with time as the horizontal coordinate and the natural gas flow rate as the vertical coordinate. A number of collection points are evenly arranged for the natural gas flow rate change curve corresponding to each abnormal user, and the vertical coordinate corresponding to each collection point is marked as the natural gas flow rate of each collection point of the natural gas flow rate change curve corresponding to each abnormal user.

[0058] Using the formula Calculate the flow rate fluctuation FrF of each abnormal user i , where NGfr ij It represents the natural gas flow rate collected by the jth collection point of the i-th abnormal user, NGfr0 represents the preset reference natural gas flow rate, j represents the collection point number, j=1, 2...n, n represents the number of collected natural gas flow rates, and e represents a natural constant.

[0059] As a preferred embodiment of the above scheme, the analysis makes the natural gas usage quality index of each abnormal user as follows: the natural gas usage quality index of each abnormal user is obtained by calculating the primary ignition success rate and flow rate fluctuation of each abnormal user according to the weight.

[0060] It should be further explained that the specific analysis method of the natural gas quality index of each abnormal user is as follows: the first ignition success rate Fir i and flow rate fluctuation FrF i Substitute into the formula Get the natural gas usage quality index ψ of each abnormal user i , where β1 and β2 represent the weights of the first-time ignition success rate and flow velocity fluctuation, respectively.

[0061] It should be noted that the reasons for selecting the first ignition success rate and flow rate fluctuation as natural gas usage data as the influencing factors of the natural gas usage quality index of each abnormal user are: 1. A low first ignition success rate may indicate problems such as pipeline blockage and insufficient pressure, which require maintenance or repair. 2. When the flow rate fluctuation is high, the combustion efficiency may be affected, resulting in energy waste or incomplete combustion, and the generation of harmful substances.

[0062] Exemplarily, the weights of the first ignition success rate and the flow rate fluctuation are 0.4 and 0.6.

[0063] It should be noted that in practice, the success rate of a single ignition will affect the natural gas metering data, but in this case most of the lost natural gas will still be monitored by the metering and detection device. However, when the flow rate fluctuates greatly, the metering and detection device may not respond in time or the accumulated errors may be too frequent, resulting in metering abnormalities.

[0064] The abnormal response quality analysis module is used to analyze the abnormal response data of each abnormal user based on the historical abnormal response records, and then analyze the abnormal response quality index of each abnormal user.

[0065] As a preferred embodiment of the above scheme, the abnormal response data includes abnormal response accuracy and abnormal response duration. The specific analysis steps are as follows: obtain the abnormal response duration and abnormal determination annotation of each abnormal user corresponding to each historical abnormal response record from the historical abnormal response records saved in the data repository.

[0066] It should be explained that abnormal determination refers to the marking of the abnormal response corresponding to the abnormal response when the abnormal response occurs. When no abnormality occurs but an abnormal response is performed, no abnormal determination marking is performed.

[0067] The number of historical abnormal response records marked as abnormal confirmation in each historical abnormal response record corresponding to each abnormal user is counted, and the total number of historical abnormal response records of each abnormal user is counted, and then the abnormal response accuracy rate is calculated to obtain the abnormal response accuracy rate of each abnormal user.

[0068] It needs to be further explained that the specific method of calculating the response accuracy is: the abnormal response accuracy of each abnormal user is obtained by calculating the ratio of the number of historical abnormal response records marked as abnormal confirmation in each historical abnormal response record corresponding to each abnormal user to the total number of historical abnormal response records.

[0069] The abnormal response time of each historical abnormal response record corresponding to each abnormal user is extracted, and then the average is calculated to obtain the abnormal response time of each abnormal user.

[0070] As a preferred embodiment of the above scheme, the abnormal response quality index is specifically analyzed as follows: Using the formula Calculate the abnormal response quality index Qar of each abnormal user i , among which Ara i represents the abnormal response accuracy of the i-th abnormal user, T i represents the abnormal response time of the ith abnormal user, and T0 represents the preset maximum allowed abnormal response time.

[0071] It should be noted that the pre-set maximum allowable abnormal response time refers to a time limit set in advance during the natural gas usage data collection, management and analysis process to ensure that abnormal situations can be responded to in a timely manner. This time limit refers to the maximum time interval allowed from the detection of the abnormal situation to the completion of the response.

[0072] The natural gas equipment maintenance judgment module is used to judge whether it is necessary to perform natural gas equipment maintenance on each abnormal user based on the natural gas usage quality index and the abnormal response quality index of each abnormal user.

[0073] As a preferred embodiment of the above scheme, the judgment on whether it is necessary to perform natural gas equipment maintenance on each abnormal user is specifically as follows: the natural gas usage quality index and abnormal response quality index of each abnormal user are respectively compared with the pre-set natural gas usage quality index threshold and abnormal response quality index threshold to obtain a judgment result on whether it is necessary to perform natural gas equipment maintenance on each abnormal user.

[0074] For further information, please refer to Figure 3As shown, the specific analysis steps for determining whether it is necessary to perform natural gas equipment maintenance on each abnormal user are: comparing the natural gas usage quality index and abnormal response quality index of each abnormal user with the pre-set natural gas usage quality index threshold and abnormal response quality index threshold respectively; if there is an abnormal user whose natural gas usage quality index is less than the natural gas usage quality index threshold or whose abnormal response quality index is less than the abnormal response quality index threshold, it is determined that natural gas equipment maintenance is required for the abnormal user.

[0075] It needs to be further explained that the natural gas quality index is a quantitative indicator used to evaluate the quality of natural gas supply. The factors usually considered include but are not limited to the first ignition success rate, flow rate fluctuation, etc. By setting the threshold of the natural gas quality index, possible problems in the use of natural gas can be identified. The abnormal response quality index is an indicator to evaluate the system's ability to respond to abnormal situations. By setting the abnormal response quality threshold, it can be ensured that the system can respond to abnormal situations within a predetermined time to reduce potential risks and losses, which helps to improve the overall performance and efficiency of the system.

[0076] It should be noted that, when performing natural gas equipment maintenance analysis, the present invention determines whether it is necessary to perform natural gas equipment maintenance on each abnormal user by using the quality index and the abnormal response quality index based on the natural gas abnormal response quality index of each abnormal user. This analysis method ensures the predictability and comprehensiveness of the equipment abnormality analysis, can provide timely warning of potential risks, reduces the cost and complexity of handling accidents, and reduces economic losses and social impacts.

[0077] The data repository is used to store historical metering records, historical natural gas usage records and historical abnormal response records.

[0078] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A natural gas user data collection and management system based on the Internet, characterized in that: include: The usage period division module is used to divide each natural day into several usage periods according to equal intervals, and record the natural gas usage unit to be analyzed as the target unit, and record each natural gas user of the target unit as a designated user; The historical measurement deviation analysis module is used to analyze the historical measurement deviation of the target unit in each usage period based on the historical measurement records; The metering anomaly identification module is used to obtain the target unit natural gas consumption and the natural gas consumption of each designated user in the current usage period displayed by the natural gas metering device, and then analyze the metering anomaly in the current monitoring period, and determine whether the target unit has metering anomalies. If there are metering anomalies, further identify the designated users with abnormalities and record them as abnormal users; A natural gas usage quality analysis module is used to obtain the natural gas usage data of each abnormal user and then analyze the natural gas usage quality index of each abnormal user; An abnormal response quality analysis module is used to analyze the abnormal response data of each abnormal user based on the historical abnormal response records, and then analyze the abnormal response quality index of each abnormal user; A natural gas equipment maintenance judgment module is used to judge whether it is necessary to perform natural gas equipment maintenance on each abnormal user based on the natural gas usage quality index and abnormal response quality index of each abnormal user; A data repository for storing historical metering records, historical natural gas usage records, and historical abnormal response records; The historical measurement deviation situation requires the construction of the historical measurement deviation index in each usage period, as follows: Extract the historical metering records stored in the data repository, and obtain the usage period, target unit natural gas usage, and natural gas usage of each designated user corresponding to each historical metering record; Classify each historical metering record according to the usage period to obtain each historical metering record corresponding to each usage period, and accumulate and calculate the natural gas usage of each designated user corresponding to each historical metering record in each usage period to obtain the reference natural gas usage corresponding to each historical record in each usage period; The target unit natural gas usage corresponding to each historical record in each usage period is compared with the reference natural gas usage to obtain the historical measurement deviation index corresponding to each historical measurement record in each usage period, and then the mean value is calculated to obtain the historical measurement deviation index in each usage period; The natural gas usage data includes a first ignition success rate and a flow rate fluctuation, and the first ignition success rate and flow rate fluctuation of each abnormal user are summed up according to the weight to obtain a natural gas usage quality index of each abnormal user; The abnormal response quality index is specifically analyzed as follows: Using the formula Calculate the abnormal response quality index of each abnormal user ,in Indicates The abnormal response accuracy of abnormal users, Indicates The abnormal response time of abnormal users, Indicates the preset maximum allowed exception response time.

2. The Internet-based natural gas user usage data collection and management system according to claim 1, characterized in that: The measurement anomaly situation requires the construction of a measurement anomaly index, which is specifically analyzed as follows: Extract the target unit natural gas consumption and the natural gas consumption of each designated user in the current usage period displayed by the natural gas metering device, and obtain the number of designated users of the target unit in the current usage period; The natural gas consumption of each designated user in the current usage period is accumulated and calculated to obtain the reference natural gas consumption total amount of the target unit in the current usage period, and then the difference between the natural gas consumption of the target unit in the current usage period is calculated to obtain the natural gas consumption deviation of the target unit in the current usage period, and then the ratio is calculated to obtain the real-time measurement deviation index in the current usage period. Extract the actual number of natural gas accounts opened by the target unit in the current usage period, and calculate the ratio of the number of designated users of the target unit in the current usage period to the actual number of natural gas accounts opened to obtain the metering anomaly correction factor in the current usage period; Match the historical measurement deviation index in each usage period with the current usage period to obtain the historical measurement deviation index of the current usage period; The measurement anomaly index of the current usage period is obtained based on the real-time measurement deviation index, historical measurement deviation index and measurement anomaly correction factor analysis within the current usage period.

3. The Internet-based natural gas user usage data collection and management system according to claim 2, characterized in that: The specific details of determining whether a measurement abnormality occurs in the target unit are as follows: The metering anomaly index of the current usage period is compared with the preset metering anomaly index threshold to obtain a judgment result on whether the target unit has metering anomaly.

4. The Internet-based natural gas user usage data collection and management system according to claim 1, characterized in that: The specific identification of the designated users with abnormalities is as follows: Extract the natural gas consumption of each designated user during the current usage period displayed by the natural gas metering device, and use the flow detection device to obtain the actual natural gas flow of each designated user during the current usage period; Based on the natural gas usage and actual flow of each designated user in the current usage period, the actual usage deviation of each designated user in the current monitoring period is obtained, and then compared with the preset actual usage deviation threshold to obtain the designated users with abnormalities.

5. The Internet-based natural gas user usage data collection and management system according to claim 1, characterized in that: The one-time ignition success rate and flow rate fluctuation are specifically analyzed as follows: Obtaining the designated user and the number of ignitions corresponding to each historical natural gas usage record from the historical natural gas usage records stored in the data repository; Classifying each historical natural gas usage record according to the designated user to obtain each historical natural gas usage record corresponding to each designated user, and then matching with each abnormal user to obtain each historical natural gas usage record corresponding to each abnormal user; The number of ignitions of each abnormal user corresponding to each historical natural gas usage record is identified to obtain the historical natural gas usage record corresponding to one ignition of each abnormal user, and the number of historical natural gas usage records corresponding to one ignition of each abnormal user and the total number of historical natural gas usage records are obtained by counting; Using the formula Calculate the ignition success rate of each abnormal user ,in Indicates The number of historical natural gas usage records for one ignition by an abnormal user, Indicates The total number of historical natural gas usage records of abnormal users, Indicates the number of the abnormal user. Indicates the number of abnormal users; The natural gas flow rate of the natural gas pipeline corresponding to each abnormal user in the current use period is obtained by using a flow rate detection device, and then a natural gas flow rate change curve corresponding to each abnormal user in the current use period is drawn with time as the horizontal coordinate and the natural gas flow rate as the vertical coordinate, and a number of collection points are evenly arranged for the natural gas flow rate change curve corresponding to each abnormal user, and the vertical coordinate corresponding to each collection point is marked as the natural gas flow rate of each collection point corresponding to the natural gas flow rate change curve of each abnormal user; Using the formula Calculate the flow rate fluctuation of each abnormal user ,in Indicates Abnormal user The natural gas flow rate is collected at each collection point. Indicates the preset reference natural gas flow rate, Indicates the collection point number. Indicates the quantity of collected natural gas flow rate, Represents a natural constant.

6. The Internet-based natural gas user usage data collection and management system according to claim 1, characterized in that: The abnormal response data includes abnormal response accuracy and abnormal response duration. The specific analysis steps are as follows: Obtaining the abnormal response duration and abnormal confirmation mark of each abnormal user corresponding to each historical abnormal response record from the historical abnormal response record stored in the data repository; Count the number of historical abnormal response records marked as abnormal confirmation in each historical abnormal response record corresponding to each abnormal user, and count the total number of historical abnormal response records of each abnormal user, and then calculate the abnormal response accuracy rate to obtain the abnormal response accuracy rate of each abnormal user; The abnormal response time of each historical abnormal response record corresponding to each abnormal user is extracted, and then the average is calculated to obtain the abnormal response time of each abnormal user.

7. The Internet-based natural gas user usage data collection and management system according to claim 1, characterized in that: The specific details of determining whether natural gas equipment maintenance is required for each abnormal user are as follows: The natural gas usage quality index and abnormal response quality index of each abnormal user are compared with the preset natural gas usage quality index threshold and abnormal response quality index threshold respectively to obtain a judgment result on whether natural gas equipment maintenance is required for each abnormal user.

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