Multi-system collaborative configuration method for intelligent gas meter
Through the multi-system collaborative configuration method, the configuration data request of the intelligent gas meter is automatically processed, which solves the problems of untimely configuration updates and difficult judgments in the existing technology, and achieves efficient and accurate data configuration and failure rate reduction.
Patent Information
- Application Number
- CN202510382896.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-28
- Publication Date
- 2025-07-29
AI Technical Summary
The existing smart gas meter relies on manual operation when configuring parameters, resulting in untimely configuration updates and inability to judge whether the configuration is successful or not in time, making it difficult to meet the rapidly changing customer needs.
The multi-system collaborative configuration method is adopted to automatically process configuration data requests, generate configuration data and compare data through the collaborative work of manufacturing execution systems, automated office systems and test systems, and handle abnormal situations in a timely manner in combination with the alarm system.
It improves the data configuration efficiency of smart gas meters, reduces the configuration failure rate, and ensures the accuracy and timeliness of configuration data.
Smart Images
Figure CN120387784A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the technical field of intelligent system interaction, and particularly relates to a multi-system collaborative configuration method for intelligent gas meters. Background Art
[0002] With the development of the gas industry, intelligent gas meters using embedded components have gradually become the mainstream.
[0003] When configuring parameters for intelligent gas meters, the existing methods mainly rely on manual operations by technicians. Technicians obtain customer requirements through an automated office system and manually input the configuration parameters of the production system according to the customer requirements. Since systems such as testing, production, automated office, and alarm are independently deployed, when customer requirements change, it is difficult to update the configuration of intelligent gas meters in a timely manner by manually adjusting parameters, and it is also impossible to determine whether the configuration of the intelligent gas meter is successful in a timely manner. Summary of the Invention
[0004] To solve the above problems, one or more embodiments of this specification describe a multi-system collaborative configuration method for intelligent gas meters.
[0005] According to a first aspect, there is provided a multi-system collaborative configuration method for intelligent gas meters, which is applied to a multi-system collaborative configuration system. The system includes a manufacturing execution system, an automated office system, and a testing system. The method includes: The manufacturing execution system obtains the initial data of the intelligent gas meter, generates a target data configuration request based on the initial data, and transmits the target data configuration request to the automated office system; The automated office system approves the target data configuration request. After the approval of the target data configuration request is passed, it obtains the target configuration data and transmits the target configuration data to the manufacturing execution system. The target working state data corresponding to the target configuration data is stored in the automated office system; The manufacturing execution system updates the configuration data of the intelligent gas meter based on the target configuration data; The testing system obtains the actual working state data of the intelligent gas meter after the configuration data is updated, and transmits the actual working state data to the automated office system through the manufacturing execution system; The automated office system compares the actual working state data and the target working state data, and generates a configuration result report of the intelligent gas meter.
[0006] Further, generating the target data configuration request based on the initial data includes: Based on the initial data, obtain the model data and the data of the to-be-applied scenario of the intelligent gas meter, and generate a target data configuration request based on the model data and the data of the to-be-applied scenario.
[0007] Further, obtaining the target configuration data after the approval process of the target data configuration request includes: Obtain the model data and the data of the to-be-applied scenario corresponding to the target data configuration request; Match the model data and the data of the to-be-applied scenario with a preset configuration database to obtain the target configuration data in the preset configuration database, and the preset configuration database is stored in the automated office system.
[0008] Further, after matching the model data and the data of the to-be-applied scenario with the preset configuration database, it further includes: When there is no target configuration data in the preset configuration database that matches the model data and the data of the to-be-applied scenario, the manufacturing execution system generates a to-be-matched request corresponding to the intelligent gas meter; The automated office system approves the to-be-matched request, and after the approval process of the to-be-matched request passes, stores the model data and the data of the to-be-applied scenario corresponding to the intelligent gas meter in the to-be-matched database.
[0009] Further, updating the configuration data of the intelligent gas meter based on the target configuration data includes: Based on the initial data, obtain the initial configuration data of the intelligent gas meter, and compare the data deviation with the target configuration data; Based on the data deviation between the initial configuration data and the target configuration data, obtain a configuration data upgrade package, and use the configuration data upgrade package to update the configuration data of the initial configuration data.
[0010] Further, obtaining the actual working state data of the intelligent gas meter after the configuration data is updated includes: Measure the working state data of the intelligent gas meter after the configuration data is updated multiple times to obtain multiple groups of initial working state data, and the measurement time period length of each group of the initial working state data is the same; Process all the initial working state data using the density clustering algorithm and the robust regression algorithm respectively, and use a group of the initial working state data obtained after the processing as the actual working state data.
[0011] Further, generating the configuration result report of the intelligent gas meter includes: Determine the configuration result corresponding to each of the actual working status data, and generate a configuration result report based on each of the configuration results. The configuration result is characterized as a failure when the actual working status data is not within the target preset range of the target working status data, and the configuration result is characterized as a success when the actual working status data is within the target preset range of the target working status data.
[0012] Further, after generating the configuration result report of the intelligent gas meter, it further includes: When there is a configuration result characterized as a failure, the automated office system generates an exception troubleshooting request; The automated office system approves and processes the exception troubleshooting request, and after the exception troubleshooting request is approved and processed, the initial data, the target configuration data, and the actual working status data are stored in the exception event dataset, and the exception event dataset is stored in the automated office system.
[0013] Further, the system collaborative configuration system further includes an alarm system. Before storing the initial data, the target configuration data, and the actual working status data in the exception event dataset, it further includes: The automated office system transmits an alarm command to the alarm system, and the alarm system emits an alarm message after receiving the alarm command. The alarm message includes a voice alarm message and a light alarm message.
[0014] Beneficial effects: The present invention provides a multi-system collaborative configuration method for an intelligent gas meter, mainly updating the configuration data of the intelligent gas meter through the interaction of multiple systems, and realizing the approval and processing of data configuration requests for the intelligent gas meter, the acquisition of target configuration data through the automated office system, and timely cooperating with the manufacturing execution system to update the configuration data of the gas meter, thereby improving the data configuration efficiency of the intelligent gas meter; it can also determine the abnormal situation of the configuration result of the configuration data of the intelligent gas meter by comparing the actual working status data of the comparison and testing system and the target working status data of the intelligent gas meter stored in the automated office system, and can cooperate with the testing system, the alarm system, and the automated office system to record and alarm events of abnormal gas meter configuration, so as to reconfigure the intelligent gas meter to reduce the configuration failure rate. Brief Description of the Drawings
[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0016] Figure 1 This is a schematic flowchart of a multi-system collaborative configuration method for an intelligent gas meter provided by an embodiment of the present application; Figure 2 This is a schematic diagram of the working principle of a multi-system collaborative configuration method for an intelligent gas meter provided by an embodiment of the present application. Specific embodiments
[0017] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. <(
[0018] In the following description, the terms "first" and "second" are only for the purpose of description and cannot be construed as indicating or implying relative importance. The following description provides multiple embodiments of the present application. Different embodiments can be replaced or combined. Therefore, the present application can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present application should also be considered to include embodiments containing all other possible combinations of A, B, C, and D, although such embodiments may not be explicitly described in the following content.
[0019] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes can be made to the functions and arrangements of the described elements without departing from the scope of the content of the present application. Each example can appropriately omit, substitute, or add various processes or components. For example, the described method can be executed in a different order than the described order, and various steps can be added, omitted, or combined. In addition, the features described in some examples can be combined into other examples.
[0020] As Figure 1 shown, Figure 1 This is a schematic flowchart of a multi-system collaborative configuration method for an intelligent gas meter provided by an embodiment of the present application, which is applied to a multi-system collaborative configuration system. The system includes a manufacturing execution system, an automated office system, and a testing system. The method of this embodiment includes: S1. The manufacturing execution system obtains the initial data of the intelligent gas meter, generates a target data configuration request based on the initial data, and transmits the target data configuration request to the automated office system.
[0021] In the embodiments of this specification, the execution subject of this method can be a central controller integrated with an automated office system. By the central controller, the working states of the manufacturing execution system and the automated office system are controlled, and thus the collaborative control of multiple systems can be achieved. The Manufacturing Execution System (MES) is the information bridge between the enterprise production plan and the actual production, which can perform production scheduling, equipment management, and real-time data transmission, and is the key to realizing the information coordination of the automated office system, production equipment, test system, etc. In this embodiment, the manufacturing execution system can be one of the manufacturing execution systems such as Proficy MES of General Electric, AVEVA MES of Schneider Electric, and U9 MES of UFIDA. The Office Automation System (OA) is a common management system that uses modern information technology means to apply computer technology, communication technology, systems science, and behavioral science to office transaction processing with a large quantity and unclear structure that is difficult to process by traditional data processing and includes non-numerical information. There are many types of its models. In this embodiment, the automated office systems of companies such as Microsoft, IBM, and Seeyon can be selected, or a self-built automated office system can be built according to production requirements. As Figure 2 shown, during the execution of the method in this embodiment, the data transmission between systems is realized through the same type of middleware. The middleware uses lightweight message queues such as MQTT or Kafka, and the data formats between systems use the same format such as JSON Schema, thus ensuring the data compatibility between systems.
[0022] The initial data of the intelligent gas meter in this example includes the model data of the gas meter, the data of the application scenario to be applied, the initial configuration data, etc. The manufacturing execution system can determine the relevant requirements for the production configuration of the intelligent gas meter based on this data, and then generate a target data configuration request, and transmit it to the intelligent office system through the corresponding middleware.
[0023] In an implementable manner, generating the target data configuration request based on the initial data includes: based on the initial data, obtaining the model data of the intelligent gas meter and the data of the application scenario to be applied, and generating a target data configuration request based on the model data and the data of the application scenario to be applied.
[0024] In the embodiments of this specification, the model of the intelligent gas meter determines the total amount of data that needs to be configured, and the parameters of the intelligent gas meter in different application scenarios are also different. For example, the sensitivity of the internal sensors of the meter in the high-temperature boiler environment and the outdoor environment is different, and the initial configuration data needs to be adjusted within a certain range. Therefore, the target data configuration request is generated based on the model data and the data of the application scenario to be applied.
[0025] S2. The automated office system approves the target data configuration request. After the approval of the target data configuration request is passed, the target configuration data is obtained, and the target configuration data is transmitted to the manufacturing execution system. The target working status data corresponding to the target configuration data is stored in the automated office system.
[0026] In the embodiment of the present specification, after receiving the target data configuration request, the automated office system will execute a preset approval process to approve the target data configuration request. The preset approval process may be that the automated office system generates a report according to the target data configuration request, and then sends the report to the operation terminal of the relevant technical personnel for display. The staff performs relevant operations on the operation terminal, generates corresponding instructions and returns them to the automated office system. The automated office system determines whether the target data configuration request is approved through the instructions.
[0027] After the approval process is successful, the target configuration data corresponding to the target data configuration request will be automatically retrieved from the automated office system, and the relevant technical personnel and manufacturing personnel do not need to manually input the target configuration data, which improves the efficiency of the data configuration of the intelligent gas meter. At the same time, the target working status data corresponding to the target configuration data is stored in the automated office system, that is, the automated office system stores the parameters of the working status that the intelligent gas meter can theoretically reach when the target configuration data is configured, which is convenient for subsequent cooperation with the test system to detect the working abnormalities of the intelligent gas meter. In addition, the approval process of the approval report can also be automatically approved according to certain rules, without the need for all to be processed by relevant technical personnel and manufacturing personnel.
[0028] In an implementable manner, the obtaining the target configuration data after the approval of the target data configuration request is passed includes: Obtaining the model data and the to-be-applied scenario data corresponding to the target data configuration request; Matching the model data and the to-be-applied scenario data with a preset configuration database to obtain the target configuration data in the preset configuration database, and the preset configuration database is stored in the automated office system.
[0029] In the embodiment of the present specification, the automated office system stores a preset configuration database, and the preset configuration database stores the configuration data of various types of intelligent gas meters in different application scenarios. Therefore, according to the model data and the to-be-applied scenario data corresponding to different target data configuration requests, the target configuration data can be quickly obtained and transmitted to the manufacturing execution system.
[0030] In an implementable manner, after matching the model data and the to-be-applied scenario data with the preset configuration database, it further includes: When there is no target configuration data in the preset configuration database that matches the model data and the to-be-applied scenario data, the manufacturing execution system generates a to-be-matched request corresponding to the intelligent gas meter; The automated office system approves the to-be-matched request, and after the approval of the to-be-matched request passes, stores the model data and the to-be-applied scenario data corresponding to the intelligent gas meter in the to-be-matched database.
[0031] In the embodiments of this specification, although the preset configuration database stores configuration data of various types of intelligent gas meters in different application scenarios, for some new model intelligent gas meters or some special application scenarios, the preset configuration database may lack corresponding data configurations. Therefore, it is necessary to first generate a to-be-matched request to leave a record for relevant process personnel to approve, and then store the model data of these intelligent gas meters with matching failures and the to-be-applied scenario data in the to-be-matched database, so that relevant technical personnel can write relevant configuration data to the preset configuration database according to the to-be-matched database, thereby avoiding the omission of intelligent gas meters during the configuration data process.
[0032] S3. The manufacturing execution system updates the configuration data of the intelligent gas meter based on the target configuration data.
[0033] In the embodiments of this specification, as Figure 2 shown, due to the complexity of the software protocol, hardware protocol, and interface protocol of the automated office system, that is, the automated office system is mainly used to process various transmitted data and is generally not compatible with some embedded hardware systems, there may be compatibility issues with the intelligent gas meter and it is unable to directly configure the parameters of the intelligent gas meter. Therefore, it is necessary to use middleware such as MQTT or Kafka message queues to transfer the target configuration data to the manufacturing execution system. After the manufacturing execution system parses the target configuration data, it uses the corresponding middleware to update the configuration data of the intelligent gas meter.
[0034] In an implementable manner, the updating of the configuration data of the intelligent gas meter based on the target configuration data includes: Based on the initial data, obtain the initial configuration data of the intelligent gas meter and compare the data deviation with the target configuration data; Based on the data deviation between the initial configuration data and the target configuration data, obtain a configuration data upgrade package and use the configuration data upgrade package to update the configuration data of the initial configuration data.
[0035] In the embodiments of this specification, when the manufacturing execution system updates the configuration data of the intelligent gas meter using the target configuration data, it first calculates the data deviation to obtain a data upgrade package, and then partially overwrites the initial configuration data with the data package. If the initial data is directly overwritten, it may cause the loss of the initial data in case of overwriting failure, resulting in the clearing of the built-in software of the intelligent gas meter. In addition, the computing power requirement for direct overwriting is relatively high, especially when batch-configuring the same type of intelligent gas meter. Using this form of upgrade package is safer and more convenient, and also minimizes the waste of computing power.
[0036] S4. The test system acquires the actual working state data of the intelligent gas meter after the configuration data is updated, and transmits the actual working state data to the automated office system through the manufacturing execution system.
[0037] In the embodiments of this specification, the purpose of the test system to acquire the actual working state data of the intelligent gas meter after the configuration data is updated is to compare it with the target working state data to determine whether the data configuration of the intelligent gas meter is successful. Since the production requirements of the test system, the manufacturing execution system, and the intelligent gas meter are the same, the system compatibility between these systems is relatively good. Therefore, the test system first transmits the actual working state data to the manufacturing execution system, and then the manufacturing execution system transmits it to the automated office system.
[0038] In an implementable manner, acquiring the actual working state data of the intelligent gas meter after the configuration data is updated includes: Measuring the working state data of the intelligent gas meter after the configuration data is updated multiple times to obtain multiple sets of initial working state data, and the measurement time period length of each set of the initial working state data is the same; Processing all the initial working state data using the density-based spatial clustering of applications with noise (DBSCAN) algorithm and the robust regression algorithm respectively, and taking a set of the initial working state data obtained after processing as the actual working state data.
[0039] In the embodiments of this specification, the working state data of the gas meter includes working voltage, working current, gas consumption, and maximum gas flow per unit time, etc. There may be some abnormal data in each measurement period. Therefore, it is necessary to measure multiple sets of initial working state data and perform density-based spatial clustering on these data, that is, an operation of clustering samples that are close to each other and have a relatively dense data point distribution in the data space to form categories. At the same time, use robust regression to remove the data with large noise and deviation, and finally integrate the remaining data to obtain the actual working state data.
[0040] S5. The automated office system compares the actual working state data with the target working state data to generate a configuration result report for the intelligent gas meter.
[0041] In the embodiment of this specification, comparing the actual working state data with the target working state data is to determine whether the gas meter configuration is successful. Because the intelligent gas meter may fail to update during configuration updates, and some parts of some intelligent gas meters may fail during operation and cannot work properly according to the configuration data, this comparison process is required. In this embodiment, this comparison process can be to perform weighted summation on each parameter in the actual working state data to obtain a weighted score, and perform the same operation on the target working state data to obtain a weighted score. When the error between the two weighted scores is less than 5%, it can be confirmed that the intelligent gas meter configuration is successful, and a corresponding configuration result report is generated.
[0042] In an implementable manner, generating the configuration result report for the intelligent gas meter includes: Determine the configuration result corresponding to each actual working state data, and generate a configuration result report based on each configuration result. The configuration result is characterized as failed when the actual working state data is not within the target preset range of the target working state data, and the configuration result is characterized as successful when the actual working state data is within the target preset range of the target working state data.
[0043] In the embodiment of this specification, the comparison process between the actual working state data and the target working state data can be to compare data such as working voltage, working current, gas consumption, and maximum gas flow per unit time in the actual working state data with the corresponding data in the target working state data. Each data has a corresponding error index. When the deviation between a pair of data exceeds the corresponding error index, it indicates that the configuration fails, and the generated configuration result is characterized as failed.
[0044] In an implementable manner, after generating the configuration result report for the intelligent gas meter, it further includes: When there is a configuration result characterized as failed, the automated office system generates an exception troubleshooting request; The automated office system approves and processes the exception troubleshooting request, and after the exception troubleshooting request is approved and processed, it stores the initial data, the target configuration data, and the actual working state data in the exception event dataset, and the exception event dataset is stored in the automated office system.
[0045] In the embodiments of this specification, when the actual working state data is not within the target preset range of the target working state data, it indicates that the intelligent gas meter is in an abnormal state at this time, and the intelligent gas meter needs to be recorded and processed. Therefore, the automated office system generates an abnormal troubleshooting request, and generates a report according to the abnormal troubleshooting request. Then, the report is sent to the operation terminal of the relevant technical personnel for display. The staff performs relevant operations on the operation terminal, generates corresponding instructions and returns them to the automated office system. The automated office system determines whether the abnormal troubleshooting request is approved through the instructions. And after the approval process is passed, it is stored in the abnormal event dataset for the staff to process in a timely manner.
[0046] In an implementable manner, the system collaboration configuration system further includes an alarm system. Before storing the initial data, the target configuration data, and the actual working state data in the abnormal event dataset, it further includes: The automated office system transmits an alarm command to the alarm system. After receiving the alarm command, the alarm system issues an alarm message, and the alarm message includes a voice alarm message and a light alarm message.
[0047] In the embodiments of this specification, as Figure 2 shown, the alarm system uses the same middleware as the manufacturing execution system to achieve connection with the automated office system, ensuring smooth information transmission. The alarm system includes a on-site alarm system and a remote alarm system. The on-site alarm system is mainly set at the generation location of the intelligent gas meter in an abnormal state to remind on-site staff to perform maintenance in a timely manner. This system can include a voice alarm device such as a buzzer, and can also include an LED light or a digital display screen, so as to issue a voice alarm message and a light alarm message. The remote alarm message can be directly generated on the communication device of the approval processing personnel of the abnormal troubleshooting request in the automated office system.
[0048] In the above embodiments, the descriptions of each embodiment have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0049] In addition, when the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned memory includes: USB flash drives, read-only memories (ROMs), random access memories (RAMs), external hard drives, magnetic disks, or optical discs, etc., all of which can store program codes.
[0050] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable memory, and the memory can include: flash drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, etc.
[0051] The above are only exemplary embodiments of the present disclosure, and the scope of the present disclosure cannot be limited thereby. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. After considering the specification and practicing the present disclosure, those skilled in the art will easily think of other embodiments of the present disclosure. The present application aims to cover any variations, uses, or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not described in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.
Claims
1. A multi-system collaborative configuration method for an intelligent gas meter, characterized in that Applied to a multi-system collaborative configuration system, the system includes a manufacturing execution system, an automated office system, and a testing system. The method includes: The manufacturing execution system obtains the initial data of the intelligent gas meter, generates a target data configuration request based on the initial data, and transmits the target data configuration request to the automated office system; The automated office system approves the target data configuration request. After the approval of the target data configuration request passes, it obtains the target configuration data and transmits the target configuration data to the manufacturing execution system. The target working status data corresponding to the target configuration data is stored in the automated office system; The manufacturing execution system updates the configuration data of the intelligent gas meter based on the target configuration data; The testing system obtains the actual working status data of the intelligent gas meter after the configuration data is updated, and transmits the actual working status data to the automated office system through the manufacturing execution system; The automated office system compares the actual working status data with the target working status data to generate a configuration result report of the intelligent gas meter.
2. The multi-system collaborative configuration method for an intelligent gas meter according to claim 1, wherein, The generating of the target data configuration request based on the initial data includes: Based on the initial data, obtain the model data and the to-be-applied scenario data of the intelligent gas meter, and generate a target data configuration request based on the model data and the to-be-applied scenario data.
3. The multi-system collaborative configuration method for an intelligent gas meter according to claim 2, wherein, The obtaining of the target configuration data after the approval of the target data configuration request passes includes: Obtain the model data and the to-be-applied scenario data corresponding to the target data configuration request; Match the model data and the to-be-applied scenario data with a preset configuration database to obtain the target configuration data in the preset configuration database. The preset configuration database is stored in the automated office system.
4. The multi-system collaborative configuration method for an intelligent gas meter according to claim 3, wherein, After the matching of the model data and the to-be-applied scenario data with the preset configuration database, it further includes: When there is no target configuration data in the preset configuration database that matches the model data and the to-be-applied scenario data, the manufacturing execution system generates a to-be-matched request corresponding to the intelligent gas meter; The automated office system approves the to-be-matched request, and after the approval of the to-be-matched request passes, stores the model data and the to-be-applied scenario data corresponding to the intelligent gas meter in the to-be-matched database.
5. A multi-system collaborative configuration method for an intelligent gas meter according to claim 1, characterized in that, The updating of the configuration data of the intelligent gas meter based on the target configuration data includes: Based on the initial data, obtain the initial configuration data of the intelligent gas meter, and compare the data deviation with the target configuration data; Based on the data deviation between the initial configuration data and the target configuration data, obtain a configuration data upgrade package, and use the configuration data upgrade package to update the initial configuration data.
6. The multi-system collaborative configuration method for an intelligent gas meter according to claim 1, wherein, The obtaining of the actual working status data of the intelligent gas meter after the configuration data is updated includes: The working status data of the intelligent gas meter after multiple measurements of the configuration data are updated to obtain multiple groups of initial working status data, and the measurement time period lengths of each group of the initial working status data are the same; All the initial working status data are processed using a density-based clustering algorithm and a robust regression algorithm, and a group of the initial working status data obtained after processing is used as the actual working status data.
7. A multi-system collaborative configuration method for an intelligent gas meter according to claim 1, characterized in that The generating of the configuration result report of the intelligent gas meter includes: Determining the configuration result corresponding to each of the actual working status data, and generating a configuration result report based on each of the configuration results. The configuration result is characterized as a failure when the actual working status data is not within the target preset range of the target working status data, and the configuration result is characterized as a success when the actual working status data is within the target preset range of the target working status data.
8. The multi-system collaborative configuration method for an intelligent gas meter according to claim 7, characterized in that After the generating of the configuration result report of the intelligent gas meter, it further includes: When there is a configuration result characterized as a failure, the automated office system generates an exception troubleshooting request; The automated office system performs approval processing on the exception troubleshooting request, and after the exception troubleshooting request is approved, the initial data, the target configuration data, and the actual working status data are stored in an exception event data set, and the exception event data set is stored in the automated office system.
9. The multi-system collaborative configuration method for an intelligent gas meter as claimed in claim 8, wherein The system collaborative configuration system further includes an alarm system. Before the initial data, the target configuration data, and the actual working status data are stored in the exception event data set, it further includes: The automated office system transmits an alarm command to the alarm system, and the alarm system sends out an alarm message after receiving the alarm command. The alarm message includes a voice alarm message and a light alarm message.