Bluetooth-based smart water meter production testing system and method

Abstract

This invention provides a production testing system and method for smart water meters based on Bluetooth communication. The system connects the smart water meters, the production line testing device, and the mobile maintenance device via a Bluetooth module. A wireless communication link is established between the devices through the Bluetooth module. The smart water meters eliminate infrared components, using Bluetooth and dynamically adjusting communication parameters to adapt to complex environments. The production line testing device automatically connects multiple smart water meters for parallel testing, generating a factory report containing individual performance characteristics and uploading it to a cloud-based maintenance platform. The cloud-based maintenance platform analyzes batch quality and provides calibration recommendations based on a benchmark model, simplifying the production process and improving testing efficiency. The mobile maintenance device can read and upload on-site data without precise alignment. The cloud-based maintenance platform correlates the factory report to generate health assessments and predictive maintenance strategies, solving the problems of poor communication stability, high cost, and difficult maintenance associated with infrared testing and maintenance.

Description

Technical Field

[0001] This invention relates to the field of smart meter manufacturing technology, specifically a smart water meter production and testing system and method based on Bluetooth communication. Background Technology

[0002] With the continuous advancement of smart city construction, smart water meters are widely used in residential water management due to their advantages such as accurate metering and data traceability. The efficiency of production testing and after-sales maintenance are directly related to the product delivery quality and user experience.

[0003] Currently, the production testing and after-sales maintenance of smart water meters mainly rely on smart water meters with built-in infrared transmitters, receivers, and matching optical shielding structures. These are deployed at various workstations on the production line using production line testing devices equipped with infrared communication units, as well as mobile maintenance terminals equipped with infrared debugging modules. The working method is as follows: During the production testing phase, the production line testing device must be precisely aligned with the infrared port of the smart water meter to send test commands and collect data on metering accuracy and communication functions. During the after-sales maintenance phase, staff must carry a mobile maintenance terminal and manually align it with the infrared port of the smart water meter to read operating data or perform fault debugging. Furthermore, data interaction is limited to point-to-point transmission between the testing device, maintenance terminal, and smart water meter, without a unified cloud-based data storage and analysis platform.

[0004] Infrared communication has stringent requirements for line-of-sight alignment and is easily affected by ambient light, resulting in poor communication stability. Furthermore, it cannot dynamically adjust communication parameters according to the environment, leading to frequent problems such as test interruptions and maintenance failures. Production testing requires precise alignment of each unit, and the automated testing process is complex to design, resulting in low testing efficiency and difficulty in adapting to large-scale production needs. After-sales maintenance operations rely on manual precise alignment of the infrared port, which is extremely inconvenient to operate in complex installation environments such as dim lighting and confined spaces, resulting in low maintenance efficiency. Summary of the Invention

[0005] This invention provides a smart water meter production testing system and method based on Bluetooth communication, which solves the problems of low efficiency and poor stability in the production testing and after-sales maintenance of smart water meters in the prior art.

[0006] On one hand, the present invention provides a smart water meter production testing system based on Bluetooth communication, including: a smart water meter, a production line testing device, a cloud maintenance platform, and a mobile maintenance device; the smart water meter, the production line testing device, and the mobile maintenance device are all connected via Bluetooth module. The smart water meter is configured to: detect the communication quality parameters of the surrounding environment and adjust the communication parameters of the Bluetooth module; The production line testing device is configured to: establish a connection with the smart water meter via the Bluetooth module, perform automated testing, generate a factory test report including the individual performance characteristics of the smart water meter, and upload it to the cloud maintenance platform; The mobile maintenance device is configured to: establish a connection with the smart water meter via a Bluetooth module, read the on-site operating data of the smart water meter, and upload it to the cloud maintenance platform; The cloud-based maintenance platform is configured as follows: The system receives and stores the factory test report, analyzes the factory test report based on a preset benchmark model, generates analysis results including performance calibration recommendations and batch quality, and sends the analysis results to the production line testing device. The system receives and stores the field operation data, compares and analyzes the field operation data with the corresponding factory test report, generates a health status assessment and predictive maintenance strategy, and sends the health status assessment and predictive maintenance strategy to the mobile maintenance device.

[0007] Optionally, the cloud maintenance platform also includes a communication strategy library and a self-learning optimization engine; The communication strategy library stores multiple sets of Bluetooth communication parameters associated with different ranges of communication quality parameters; The self-learning optimization engine is configured to: query an adaptive communication strategy from the communication strategy library based on the environmental communication quality parameters detected by the smart water meter, and send the adaptive communication strategy to the smart water meter via the mobile maintenance device to optimize the Bluetooth communication link of the smart water meter.

[0008] Optionally, the smart water meter includes an environmental sensing module and a strategy execution module; The environment sensing module is configured to detect at least one communication quality parameter, including environmental interference signal strength, historical connection success rate, and signal attenuation characteristics. The policy execution module is configured to receive and load the adaptive communication policy, and dynamically adjust at least one parameter among the Bluetooth module's transmit power, connection interval, and channel frequency hopping.

[0009] Optionally, the smart water meter further includes an edge diagnostic module; The edge diagnostic module is configured to generate a preliminary diagnostic report containing a health score or pre-fault code based on the collected measurement data and operating status data. The mobile maintenance device is configured to read and upload the preliminary diagnostic report to the cloud maintenance platform; The cloud-based maintenance platform is configured to perform fusion analysis based on the preliminary diagnostic report and the on-site operational data to generate and / or revise the health status assessment and predictive maintenance strategy.

[0010] Optionally, the cloud maintenance platform is further configured as follows: Based on the field operation data of multiple smart water meters and the corresponding factory test reports, a group failure analysis is performed to generate the common risks of the corresponding production batches. Based on the aforementioned common risks, batch maintenance strategies or environmental optimization suggestions are generated.

[0011] Optionally, the cloud maintenance platform is further configured as follows: The individual performance characteristics in the factory test report are used to construct the digital fingerprint of the smart water meter; The on-site operational data is compared with the corresponding digital fingerprint; When the operating characteristics are detected to be continuously deviating from the factory standard of the smart water meter, self-calibration parameters are generated and sent to the mobile maintenance device. The mobile maintenance device is configured to: acquire the self-calibration parameters and send them to the corresponding smart water meter to drive the smart water meter to calibrate.

[0012] Optionally, the mobile maintenance device is further configured to: Receive and parse the firmware differential upgrade instructions in the predictive maintenance strategy; Based on the firmware differential upgrade command, obtain the version of the target firmware and the list of applicable water meter serial numbers; The Bluetooth module filters the target smart water meters in the list of water meter serial numbers and initiates a Bluetooth connection to execute batch firmware push and upgrade commands to the target smart water meters. The mobile maintenance device is also configured to: acquire the upgrade status of the target smart water meter; After the target smart water meter upgrade is completed, the version of the target firmware is verified, and the upgrade status and verification report are sent back to the cloud maintenance platform to generate the maintenance file of the target smart water meter.

[0013] Optionally, the mobile maintenance device further includes an AR-assisted diagnostic module; The AR-assisted diagnostic module is configured as follows: Scan the identifier of the smart water meter; Based on the identifier, the health status assessment and predictive maintenance strategy of the smart water meter are retrieved from the cloud maintenance platform, and the maintenance steps to be executed and key parameter thresholds are displayed on the screen.

[0014] Optionally, any two Bluetooth modules may use two-way authentication based on digital certificates to encrypt the transmitted data.

[0015] On the other hand, the present invention also provides a production testing method for smart water meters based on Bluetooth communication, comprising: Detect the communication quality parameters of the smart water meter production environment and adjust the communication parameters of the Bluetooth module; The system establishes a connection with the smart water meter via the Bluetooth module, performs automated testing, and generates a factory test report that includes the individual performance characteristics of the smart water meter. The system establishes a connection with the smart water meter via Bluetooth module and reads the on-site operating data of the smart water meter. Receive and store the factory test report, and analyze the factory test report based on a preset benchmark model to generate analysis results including performance calibration recommendations and batch quality. The system receives and stores the field operation data, and compares and analyzes the field operation data with the corresponding factory test report to generate a health status assessment and predictive maintenance strategy.

[0016] On the other hand, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the smart water meter production testing method based on Bluetooth communication as described above.

[0017] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the smart water meter production testing method based on Bluetooth communication as described above.

[0018] On the other hand, the present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the smart water meter production testing method based on Bluetooth communication as described above.

[0019] This invention provides a production testing system and method for smart water meters based on Bluetooth communication. The system includes: a smart water meter, a production line testing device, a cloud maintenance platform, and a mobile maintenance device. The smart water meter, the production line testing device, and the mobile maintenance device are all connected via Bluetooth modules. Wireless communication links between the devices are established through the Bluetooth modules. The smart water meter eliminates infrared components, using Bluetooth modules and dynamically adjusting communication parameters to adapt to complex environments. The production line testing device automatically connects multiple smart water meters for parallel testing, generating a factory report containing individual performance characteristics and uploading it to the cloud maintenance platform. The cloud maintenance platform analyzes batch quality and provides calibration recommendations based on a benchmark model, simplifying the production process and improving testing efficiency. The mobile maintenance device can read and upload on-site data without precise alignment. The cloud maintenance platform correlates the factory report to generate health assessments and predictive maintenance strategies, solving the problems of poor communication stability, high cost, and difficult maintenance associated with infrared testing and maintenance. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0021] Figure 1 This is one of the schematic diagrams of a smart water meter production and testing system based on Bluetooth communication provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the smart water meter structure provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the mobile maintenance device provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the cloud maintenance platform structure provided in an embodiment of the present invention; Figure 5 This is the second schematic diagram of the structure of the smart water meter production and testing system based on Bluetooth communication provided in this embodiment of the invention; Figure 6 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0023] Figure 1 This is a schematic diagram of the structure of a smart water meter production and testing system based on Bluetooth communication provided in an embodiment of the present invention.

[0024] like Figure 1 As shown, the Bluetooth-based smart water meter production and testing system provided in this embodiment of the invention includes: The system includes a smart water meter 110, a production line testing device, a cloud-based maintenance platform 140, and a mobile maintenance device 130. The smart water meter 110, the production line testing device, and the mobile maintenance device 130 are all connected via a Bluetooth module 150.

[0025] By incorporating a Bluetooth module 150 into the smart water meter 110, the production line testing device, and the mobile maintenance device 130, convenient and stable wireless communication is achieved between these three devices. Bluetooth communication offers advantages such as low power consumption, low cost, and strong anti-interference capabilities, meeting the data transmission requirements of the smart water meter 110 production testing system. For the smart water meter 110, the built-in Bluetooth module 150 accurately transmits operational data, such as water consumption, water quality parameters, and equipment status, to the production line testing device. Upon receiving this data, the production line testing device can comprehensively test and evaluate the performance of the smart water meter 110 to determine whether it meets production standards.

[0026] Meanwhile, the production line testing device can also feed back test results to the smart water meter 110 via Bluetooth module 150. If a problem is found with the smart water meter 110, it can be adjusted and repaired in a timely manner. The mobile maintenance device 130 provides convenience for on-site maintenance personnel. On-site maintenance personnel can carry the mobile maintenance device 130 and communicate with the smart water meter 110 and the production line testing device via Bluetooth module 150 to obtain equipment information at any time and perform on-site debugging and maintenance.

[0027] Specifically, the smart water meter 110 is configured to detect the communication quality parameters of the surrounding environment and adjust the communication parameters of the Bluetooth module 150.

[0028] The smart water meter 110 drives the Bluetooth module 150 to detect the communication quality parameters of the surrounding environment in real time. The communication quality parameters specifically include Bluetooth signal strength, environmental interference intensity, and data transmission error rate. Subsequently, based on the detection results, the transmission power, communication frequency, and data packet size of the Bluetooth module 150 are dynamically adjusted.

[0029] In situations where there are slight equipment positional shifts during production line operations, interference from fluorescent lights or sunlight in the factory environment, or complex scenarios such as dim lighting and confined spaces during after-sales maintenance, the Bluetooth module 150 can detect and dynamically adjust in real time to ensure that Bluetooth communication remains stable and reliable, adapting to the data interaction needs in different scenarios. At the same time, it meets the low power consumption design requirements, ensuring the long-term stable operation of the battery-powered smart water meter 110.

[0030] The production line testing device is configured to: establish a connection with the smart water meter 110 via Bluetooth module 150, perform automated testing, generate a factory test report including the individual performance characteristics of the smart water meter 110, and upload it to the cloud maintenance platform 140.

[0031] Specifically, the production line testing device is deployed at the testing station of the smart water meter 110 production line. The production line testing device is equipped with a Bluetooth module 150 that supports establishing a wireless connection with the smart water meter 110. The production line testing device can automatically scan and connect to the smart water meter 110 entering the testing station without the need for manual adjustment of the water meter position for precise alignment. The production line testing device has the functions of automated test control and test data acquisition and analysis. It can send test commands to the smart water meter 110 and sequentially complete the testing of metering accuracy, communication function stability, and battery life. It simultaneously records the individual performance characteristics of a single water meter and generates a factory test report containing test items, data results, pass status, and test timestamps. Finally, the report is uploaded to the cloud maintenance platform 140 through the communication link.

[0032] The mobile maintenance device 130 is configured to establish a connection with the smart water meter 110 via the Bluetooth module 150, read the on-site operating data of the smart water meter 110, and upload it to the cloud maintenance platform 140.

[0033] Specifically, the Bluetooth module 150 in the mobile maintenance device 130 supports establishing a wireless connection with the Bluetooth module 150 of the smart water meter 110. After the maintenance personnel arrive at the installation site of the smart water meter 110, they do not need to disassemble the casing of the smart water meter 110 or align it with the communication port. The device automatically scans the smart water meters 110 within a certain range and completes the pairing. The mobile maintenance device 130 can read the on-site operating data of the smart water meter 110, including real-time operating status, fault codes, historical metering data and equipment parameters. Then, it uploads the collected on-site operating data to the cloud maintenance platform 140 through the communication network.

[0034] Cloud maintenance platform 140 is configured as follows: Receive and store the factory test report, analyze the factory test report based on the preset benchmark model, generate analysis results including performance calibration suggestions and batch quality, and send the analysis results to the production line testing device.

[0035] Receive and store on-site operation data, compare and analyze the on-site operation data with the corresponding factory test report, generate health status assessment and predictive maintenance strategy, and send the health status assessment and predictive maintenance strategy to the mobile maintenance device 130.

[0036] Specifically, the cloud-based maintenance platform 140 receives and stores the factory test report containing the individual performance characteristics of the smart water meter 110 uploaded by the production line testing device, as well as the on-site operation data uploaded by the mobile maintenance device 130. Based on a preset benchmark model, the cloud-based maintenance platform 140 performs centralized analysis of the factory test report, generating performance calibration suggestions for individual water meters and batch quality analysis results covering batch pass rates and major non-conformities. The analysis results are then fed back to the production line testing device, providing a basis for production process optimization and accurate water meter calibration. Simultaneously, the cloud-based maintenance platform 140 uses the unique identifier of the water meter to correlate and compare the on-site operation data with the corresponding factory test report, analyzing the parameter deviations and trends between the two. This generates a current health status assessment of the smart water meter 110 and a predictive maintenance strategy including battery replacement warnings and accuracy re-inspection cycles. The health status assessment and predictive maintenance strategy are then sent to the mobile maintenance device 130 to provide guidance for after-sales maintenance.

[0037] Wireless communication links between devices are established through Bluetooth module 150. The smart water meter 110 eliminates infrared components and uses Bluetooth module 150 with dynamic adjustment of communication parameters to adapt to complex environments. The production line testing device automatically connects multiple smart water meters 110 for parallel testing, generating a factory report containing individual performance characteristics and uploading it to the cloud maintenance platform 140. The cloud maintenance platform 140 analyzes batch quality and provides calibration recommendations based on a benchmark model, simplifying the production process and improving testing efficiency. The mobile maintenance device 130 can read and upload on-site data without precise alignment. The cloud maintenance platform 140 associates the factory report with the data to generate health assessments and predictive maintenance strategies, solving the problems of poor communication stability, high cost, and difficult maintenance associated with infrared testing and maintenance.

[0038] In some embodiments, such as Figure 4 As shown, the cloud maintenance platform 140 also includes a communication policy library 1401 and a self-learning optimization engine 1402; The communication policy library 1401 stores multiple sets of Bluetooth communication parameters associated with different ranges of communication quality parameters; The self-learning optimization engine 1402 is configured to: query the adaptive communication policy from the communication policy library 1401 based on the environmental communication quality parameters detected by the smart water meter 110, and send the adaptive communication policy to the smart water meter 110 via the mobile maintenance device 130 to optimize the Bluetooth communication link of the smart water meter 110.

[0039] The communication strategy library 1401 pre-stores multiple Bluetooth communication parameter sets, each corresponding to a different range of communication quality parameters. These Bluetooth communication parameter sets include transmit power, communication frequency, and data packet size.

[0040] The self-learning optimization engine 1402 receives environmental communication quality parameters uploaded by the smart water meter 110, quickly searches the communication strategy library 1401 based on the environmental communication quality parameters to match an adaptive communication strategy, and then sends the adaptive communication strategy to the corresponding smart water meter 110 via the mobile maintenance device 130 to guide the smart water meter 110 to adjust the communication parameters of the Bluetooth module 150, thereby optimizing the Bluetooth communication link and further improving the stability and anti-interference capability of communication in complex production environments or after-sales maintenance scenarios.

[0041] In some embodiments, such as Figure 2 As shown, the smart water meter 110 includes an environmental sensing module 1101 and a strategy execution module 1102; The environment sensing module 1101 is configured to detect at least one communication quality parameter, including environmental interference signal strength, historical connection success rate, and signal attenuation characteristics. The policy execution module 1102 is configured to receive and load an adaptive communication policy, dynamically adjusting at least one parameter of the Bluetooth module 150, including the transmit power, connection interval, and channel frequency hopping.

[0042] The environmental perception module 1101 is configured to detect communication quality parameters in real time. The communication quality parameters specifically include at least one of environmental interference signal strength, historical connection success rate, and signal attenuation characteristics, providing data support for Bluetooth communication link optimization.

[0043] The strategy execution module 1102 is responsible for receiving the adaptive communication strategy from the cloud maintenance platform 140 via the mobile maintenance device 130. After loading the adaptive communication strategy, it dynamically adjusts at least one core parameter of the Bluetooth module 150, such as the transmit power, connection interval, and channel frequency hopping, to adapt the communication parameters to the environmental conditions and further improve communication stability, anti-interference ability, and low power consumption performance.

[0044] In some embodiments, the smart water meter 110 further includes an edge diagnostic module 1103; The edge diagnostic module 1103 is configured to generate a preliminary diagnostic report containing a health score or pre-fault code based on the collected measurement data and operating status data. Mobile maintenance device 130 is configured to read and upload preliminary diagnostic reports to cloud maintenance platform 140; The cloud-based maintenance platform 140 is configured to perform fusion analysis based on preliminary diagnostic reports and on-site operational data to generate and / or revise health status assessment and predictive maintenance strategies.

[0045] Specifically, the edge diagnostic module 1103 analyzes the collected metering data and operational status data according to preset algorithms and rules. For metering data, it analyzes the stability and trends of the metering data to determine whether the water meter's measurement is accurate and whether there are any abnormal fluctuations. For operational status data, it monitors the water meter's operating temperature, pressure, and rotational speed to assess whether the operational status data is within the normal operating range.

[0046] When generating the preliminary diagnostic report, the health score considers multiple factors and assigns a score based on the degree of data anomaly; a higher score indicates a better health condition for the water meter. Pre-fault codes are generated by matching specific data characteristics and fault modes, facilitating rapid identification of potential faults.

[0047] The mobile maintenance device 130 will periodically and proactively read the preliminary diagnostic report generated by the edge diagnostic module 1103 and upload the preliminary diagnostic report to the cloud maintenance platform 140.

[0048] After receiving the preliminary diagnostic report, the cloud-based maintenance platform 140 will conduct a comprehensive analysis of the report and on-site operational data to accurately determine the health status of the smart water meter 110. For example, if there is some uncertain information in the preliminary diagnostic report, the cloud-based maintenance platform 140 will correct and improve it by combining on-site operational data. Simultaneously, based on the analysis results, the cloud-based maintenance platform 140 will generate targeted health status assessments and predictive maintenance strategies. For example, for water meters with low health scores, it will promptly remind staff to conduct inspections and maintenance; for water meters with potential failure risks, it will develop maintenance plans in advance to prevent failures from occurring.

[0049] In some embodiments, the cloud maintenance platform 140 is further configured to: Based on the field operation data of multiple smart water meters 110 and the corresponding factory test reports, a group failure analysis was conducted to generate the common risks of the corresponding production batches. Based on shared risks, generate batch maintenance strategies or environment optimization suggestions.

[0050] Specifically, the cloud-based maintenance platform 140 will process the collected field operation data from multiple smart water meters 110, classifying and integrating the data according to production batches. Simultaneously, it will compare the field operation data of each batch with the corresponding factory test report to analyze any discrepancies and potential problems.

[0051] During the analysis of group failures, we will focus on anomalies that frequently occur in multiple smart water meters (110), such as communication interruptions and excessive metering errors. Through in-depth research on these anomalies, we will uncover the common factors that lead to the problems.

[0052] For example, if a component of a certain batch of smart water meters 110 has a quality defect, or if the process in a certain production stage is not perfect, the common risk of the corresponding production batch can be determined.

[0053] Once common risks are identified, the cloud-based maintenance platform 140 generates corresponding batch maintenance strategies based on the nature and severity of the common risks. For example, if a component has a quality issue, the batch maintenance strategy would include arranging for component replacement for all smart water meters 110 in that batch, developing a detailed replacement plan and schedule to ensure the replacement work can be carried out efficiently and systematically.

[0054] Regarding environmental optimization suggestions, the cloud-based maintenance platform 140 will consider the on-site operating environment factors of the smart water meter 110. For example, if it is found that smart water meters 110 in a certain area are generally subject to strong electromagnetic interference, resulting in a decline in communication quality, then environmental optimization suggestions may include adding electromagnetic shielding devices or adjusting the installation location of the smart water meter 110 to reduce the impact of electromagnetic interference.

[0055] To ensure the effective implementation of batch maintenance strategies and environmental optimization recommendations, the cloud-based maintenance platform 140 also interacts with the mobile maintenance device 130 in real time. The cloud platform sends the batch maintenance strategies and environmental optimization recommendations to the mobile maintenance device 130, which then conveys these recommendations to on-site maintenance personnel and relevant management personnel.

[0056] In some embodiments, the cloud maintenance platform 140 is further configured to: The individual performance characteristics in the factory test report are used to construct the digital fingerprint of the smart water meter 110. Compare the on-site operational data with the corresponding digital fingerprints; When it is detected that the operating characteristics continuously deviate from the factory standard of the smart water meter, self-calibration parameters are generated and sent to the mobile maintenance device 130. The mobile maintenance device 130 is configured to: acquire self-calibration parameters and send them to the corresponding smart water meter 110 to drive the smart water meter 110 to calibrate.

[0057] Specifically, after the smart water meter 110 receives the self-calibration parameters from the mobile maintenance device 130, it initiates an internal calibration procedure. The calibration process adjusts and optimizes various key components and measurement processes of the smart water meter 110. For example, it calibrates the metering sensor to ensure it accurately senses changes in water flow and pressure, eliminating measurement errors caused by long-term use or environmental factors. By adjusting the sensitivity and linearity of the metering sensor, the signal output by the sensor is matched to the actual water flow conditions.

[0058] During the calibration process, the smart water meter 110 will report the calibration status and related data. The mobile maintenance device 130 will continuously monitor the calibration process and upload the information reported by the smart water meter 110 to the cloud maintenance platform 140. The cloud maintenance platform 140 will monitor and analyze the calibration process and determine whether the calibration is successful based on the reported data. If any abnormalities occur during the calibration process, the cloud maintenance platform 140 will promptly adjust the self-calibration parameters and resend them to the mobile maintenance device 130 to drive the smart water meter 110 to perform calibration again until the calibration is successful.

[0059] After calibration, the smart water meter 110 sends the calibration results to the mobile maintenance device 130, which then uploads the results to the cloud maintenance platform 140. The cloud maintenance platform 140 updates the smart water meter 110's operating data and health status records, and also compares the calibrated smart water meter 110's operating characteristics with its digital fingerprint to ensure that the calibrated operating characteristics meet the factory standards. Through continuous calibration and monitoring, the metering accuracy and stability of the smart water meter 110 can be effectively improved, its service life extended, and maintenance costs reduced.

[0060] In some embodiments, the mobile maintenance device 130 is further configured to: Receive and parse firmware differential upgrade instructions from predictive maintenance strategies; Based on the firmware differential upgrade command, obtain the version of the target firmware and the list of applicable water meter serial numbers; The Bluetooth module 150 filters the target smart water meter 110 in the list of water meter serial numbers and initiates a Bluetooth connection to execute batch firmware push and upgrade commands to the target smart water meter 110. The mobile maintenance device 130 is also configured to: acquire the upgrade status of the target smart water meter 110; After the target smart water meter upgrade is completed, verify the target firmware version, and send the upgrade status and verification report back to the cloud maintenance platform 140 to generate the maintenance file of the target smart water meter 110.

[0061] Specifically, after receiving the upgrade status information from the target smart water meter 110, the mobile maintenance device 130 records and categorizes the upgrade status information. For target smart water meters 110 that fail to upgrade, the mobile maintenance device 130 further analyzes the reasons for the failure. For example, the failure may be due to unstable Bluetooth connection, corrupted target firmware file, or hardware failure of the target smart water meter 110 itself. For different reasons, the mobile maintenance device 130 generates corresponding solution suggestions.

[0062] For example, if an upgrade fails due to an unstable Bluetooth connection, the mobile maintenance device 130 will prompt the operator to adjust the distance and angle between the Bluetooth module 150 and the target smart water meter 110, or to change to an environment with a stronger Bluetooth signal. If the target firmware file is corrupted, the mobile maintenance device 130 will retrieve the target firmware file from the cloud maintenance platform 140 and attempt to upgrade the target smart water meter 110 again. When a hardware failure is determined to be in the target smart water meter 110, the mobile maintenance device 130 will promptly report the hardware failure to the cloud maintenance platform 140 so that professional personnel can be arranged for on-site repair.

[0063] When verifying the target firmware version, the mobile maintenance device 130 employs multiple verification methods. First, it compares the firmware version number read from the target smart water meter 110 with the expected target firmware version number. Simultaneously, it tests and verifies the parameters and functions of the target firmware to ensure that the target smart water meter 110 can operate normally and stably after the upgrade.

[0064] After the upgrade status and verification report are sent back to the cloud maintenance platform 140, the cloud maintenance platform 140 will integrate and analyze the upgrade status and verification report.

[0065] During the integration and analysis process, the effectiveness and rationality of the differentiated firmware upgrade instructions will be evaluated based on the upgrade data of the target smart water meter 110, providing a basis for adjusting the firmware upgrade strategy. For example, if it is found that a large number of failures occur during the upgrade process of a certain production batch of target smart water meters 110, the cloud maintenance platform 140 will re-examine the factory test report and digital fingerprint of the batch of target smart water meters 110 to analyze whether there are potential common problems, and then optimize the batch maintenance strategy or propose environmental optimization suggestions.

[0066] In some embodiments, such as Figure 3 As shown, the mobile maintenance device 130 also includes an AR-assisted diagnostic module 1301; AR-assisted diagnostic module 1301 is configured as follows: Scan the logo on the smart water meter 110; Based on the identifier, the health status assessment and predictive maintenance strategy of the smart water meter 110 are retrieved from the cloud maintenance platform 140, and the maintenance steps to be performed and key parameter thresholds are displayed on the screen.

[0067] The AR-assisted diagnostic module 1301 uses augmented reality technology to accurately overlay virtual maintenance information onto the real-world smart water meter 110. When staff scan the smart water meter 110's markings using the AR-assisted diagnostic module 1301, they can see a health status assessment, predictive maintenance strategies, instructions for maintenance steps to be performed, and key parameter thresholds on the display screen. For components that need to be disassembled or adjusted, the AR-assisted diagnostic module 1301 will dynamically demonstrate the specific operation process, including how to use the tools, the disassembly sequence, and the force applied.

[0068] Meanwhile, during the maintenance process, if the staff's operation does not conform to the maintenance procedure guidelines or key parameter thresholds, the AR-assisted diagnostic module 1301 will promptly issue reminders and corrective suggestions to ensure the accuracy and safety of the maintenance work.

[0069] In some embodiments, data transmitted between any two Bluetooth modules 150 is encrypted using two-way authentication based on digital certificates.

[0070] Specifically, when two Bluetooth modules 150 communicate, they first exchange their digital certificates to verify each other's identities. After confirming identity, they use the key information in the digital certificates to encrypt the transmitted data. Even if the data is intercepted during transmission, without the correct decryption key, the interceptor cannot access the data content, thus enhancing data transmission security. Furthermore, the two-way authentication mechanism based on digital certificates effectively prevents man-in-the-middle attacks.

[0071] During each data transmission, the Bluetooth module 150 dynamically updates the encryption key, further improving the reliability and security of encryption. Simultaneously, to ensure the efficiency of the authentication and encryption process, the Bluetooth module 150 optimizes the storage and rapid retrieval of digital certificates, ensuring that authentication and data encryption are completed quickly, meeting the real-time requirements of the smart water meter 110 in practical applications.

[0072] In some embodiments, such as Figure 5 As shown, in addition to the built-in Bluetooth module 150, the smart water meter 110 also integrates an NB-IoT communication module 160, enabling the smart water meter 110 to establish a remote data connection with the cloud maintenance platform 140 directly through the NB-IoT communication module 160. The smart water meter 110 can also report metering data on a regular basis through the NB-IoT communication module 160 and remotely receive configuration or firmware upgrade commands.

[0073] When the smart water meter 110 is installed in a complex environment with severe signal obstruction, such as an underground well or metal meter box, the NB-IoT communication module 160 may be unstable or experience interruptions. Therefore, when the cloud maintenance platform 140 detects multiple failed attempts to send commands to a smart water meter 110 via the NB-IoT communication module 160, it automatically marks the smart water meter 110 as the target smart water meter 110 and routes the commands and data packets to be sent to the mobile maintenance device 130 responsible for the target smart water meter 110. After the maintenance personnel arrive at the site with the mobile maintenance device 130, they establish a local connection with the smart water meter 110 via the Bluetooth module 150 of the mobile maintenance device 130.

[0074] Improve the reliability of command issuance and operation data recovery when the NB-IoT communication module 160 experiences communication failure.

[0075] Based on the same general inventive concept, this invention also protects a production testing method for smart water meters based on Bluetooth communication. The production testing method for smart water meters based on Bluetooth communication provided by this invention will be described below. The production testing method for smart water meters based on Bluetooth communication described below can be referred to in correspondence with the production testing system for smart water meters based on Bluetooth communication described above.

[0076] In some embodiments, the present invention also provides a method for manufacturing and testing smart water meters based on Bluetooth communication, including: Detect the communication quality parameters of the smart water meter 110 production environment and adjust the communication parameters of the Bluetooth module 150; The system establishes a connection with the smart water meter 110 via Bluetooth module 150, performs automated testing, and generates a factory test report that includes the individual performance characteristics of the smart water meter 110. The system establishes a connection with the smart water meter 110 via Bluetooth module 150 and reads the on-site operating data of the smart water meter 110. Receive and store factory test reports, and analyze the factory test reports based on a preset benchmark model to generate analysis results including performance calibration recommendations and batch quality. Receive and store on-site operational data, and compare and analyze the on-site operational data with the corresponding factory test reports to generate health status assessments and predictive maintenance strategies.

[0077] Figure 6 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention.

[0078] like Figure 6As shown, the electronic device may include a processor 610, a communications interface 620, a memory 630, and a communication bus 640. The processor 610, communications interface 620, and memory 630 communicate with each other via the communication bus 640. The processor 610 can call logical instructions from the memory 630 to execute a smart water meter production testing method based on Bluetooth communication.

[0079] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0080] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the smart water meter production and testing method based on Bluetooth communication provided by the above methods.

[0081] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the Bluetooth-based smart water meter production testing method provided by the above methods.

[0082] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0083] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart water meter production and testing system based on Bluetooth communication, characterized in that, include: The system includes a smart water meter, a production line testing device, a cloud-based maintenance platform, and a mobile maintenance device; the smart water meter, the production line testing device, and the mobile maintenance device are all connected via a Bluetooth module. The smart water meter is configured to: detect the communication quality parameters of the surrounding environment and adjust the communication parameters of the Bluetooth module; The production line testing device is configured to: establish a connection with the smart water meter via the Bluetooth module, perform automated testing, generate a factory test report including the individual performance characteristics of the smart water meter, and upload it to the cloud maintenance platform; The mobile maintenance device is configured to: establish a connection with the smart water meter via a Bluetooth module, read the on-site operating data of the smart water meter, and upload it to the cloud maintenance platform; The cloud-based maintenance platform is configured as follows: The system receives and stores the factory test report, analyzes the factory test report based on a preset benchmark model, generates analysis results including performance calibration recommendations and batch quality, and sends the analysis results to the production line testing device. The system receives and stores the field operation data, compares and analyzes the field operation data with the corresponding factory test report, generates a health status assessment and predictive maintenance strategy, and sends the health status assessment and predictive maintenance strategy to the mobile maintenance device.

2. The smart water meter production and testing system based on Bluetooth communication according to claim 1, characterized in that, The cloud-based maintenance platform also includes a communication strategy library and a self-learning optimization engine; The communication strategy library stores multiple sets of Bluetooth communication parameters associated with different ranges of communication quality parameters; The self-learning optimization engine is configured to: query an adaptive communication strategy from the communication strategy library based on the environmental communication quality parameters detected by the smart water meter, and send the adaptive communication strategy to the smart water meter via the mobile maintenance device to optimize the Bluetooth communication link of the smart water meter.

3. The smart water meter production and testing system based on Bluetooth communication according to claim 2, characterized in that, The smart water meter includes an environmental sensing module and a strategy execution module; The environment sensing module is configured to detect at least one communication quality parameter, including environmental interference signal strength, historical connection success rate, and signal attenuation characteristics. The policy execution module is configured to receive and load the adaptive communication policy, and dynamically adjust at least one parameter among the Bluetooth module's transmit power, connection interval, and channel frequency hopping.

4. The smart water meter production and testing system based on Bluetooth communication according to claim 1, characterized in that, The smart water meter also includes an edge diagnostic module; The edge diagnostic module is configured to generate a preliminary diagnostic report containing a health score or pre-fault code based on the collected measurement data and operating status data. The mobile maintenance device is configured to read and upload the preliminary diagnostic report to the cloud maintenance platform; The cloud-based maintenance platform is configured to perform fusion analysis based on the preliminary diagnostic report and the on-site operational data to generate and / or revise the health status assessment and predictive maintenance strategy.

5. The smart water meter production and testing system based on Bluetooth communication according to claim 1, characterized in that, The cloud-based maintenance platform is also configured as follows: Based on the field operation data of multiple smart water meters and the corresponding factory test reports, a group failure analysis is performed to generate the common risks of the corresponding production batches. Based on the aforementioned common risks, batch maintenance strategies or environmental optimization suggestions are generated.

6. The smart water meter production and testing system based on Bluetooth communication according to claim 1, characterized in that, The cloud-based maintenance platform is also configured as follows: The individual performance characteristics in the factory test report are used to construct the digital fingerprint of the smart water meter; The on-site operational data is compared with the corresponding digital fingerprint; When the operating characteristics are detected to be continuously deviating from the factory standard of the smart water meter, self-calibration parameters are generated and sent to the mobile maintenance device. The mobile maintenance device is configured to: acquire the self-calibration parameters and send them to the corresponding smart water meter to drive the smart water meter to calibrate.

7. The smart water meter production and testing system based on Bluetooth communication according to claim 1, characterized in that, The mobile maintenance device is also configured to: Receive and parse the firmware differential upgrade instructions in the predictive maintenance strategy; Based on the firmware differential upgrade command, obtain the version of the target firmware and the list of applicable water meter serial numbers; The Bluetooth module filters the target smart water meters in the list of water meter serial numbers and initiates a Bluetooth connection to execute batch firmware push and upgrade commands to the target smart water meters. The mobile maintenance device is also configured to: acquire the upgrade status of the target smart water meter; After the target smart water meter upgrade is completed, the version of the target firmware is verified, and the upgrade status and verification report are sent back to the cloud maintenance platform to generate the maintenance file of the target smart water meter.

8. The smart water meter production and testing system based on Bluetooth communication according to claim 1, characterized in that, The mobile maintenance device also includes an AR-assisted diagnostic module; The AR-assisted diagnostic module is configured as follows: Scan the identifier of the smart water meter; Based on the identifier, the health status assessment and predictive maintenance strategy of the smart water meter are retrieved from the cloud maintenance platform, and the maintenance steps to be executed and key parameter thresholds are displayed on the screen.

9. The smart water meter production and testing system based on Bluetooth communication according to claim 1, characterized in that, Data transmitted between any two Bluetooth modules is encrypted using two-way authentication based on digital certificates.

10. A production testing method for smart water meters based on Bluetooth communication, characterized in that, include: Detect the communication quality parameters of the smart water meter production environment and adjust the communication parameters of the Bluetooth module; The system establishes a connection with the smart water meter via the Bluetooth module, performs automated testing, and generates a factory test report that includes the individual performance characteristics of the smart water meter. The system establishes a connection with the smart water meter via Bluetooth module and reads the on-site operating data of the smart water meter. Receive and store the factory test report, and analyze the factory test report based on a preset benchmark model to generate analysis results including performance calibration recommendations and batch quality. The system receives and stores the field operation data, and compares and analyzes the field operation data with the corresponding factory test report to generate a health status assessment and predictive maintenance strategy.

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