5G-based online water leakage monitoring method, device and storage medium

Abstract

The present invention relates to a 5G-based online water leakage monitoring method, comprising the following steps: numbering each user's water meter; obtaining water meter data for each water meter, the water meter data including real-time flow data and daily frozen flow data; analyzing whether there is a water leakage based on the water meter data; if not, determining that there is no task and issuing a sleep command to the corresponding water meter; if so, issuing an alarm. The present invention can utilize a combination of water consumption data collection and storage, NB-IoT data transmission, single-chip microcomputer control, water leakage diagnosis, cloud platform technology, and sensor technology to meet the water consumption monitoring and management needs of multiple water meters. The design structure is flexible and can manage multiple water meters. At the same time, the water meter status is included in the standardized management, the water consumption of the water unit is monitored, and the water leakage loss is monitored, thereby reducing water loss and improving water resource utilization.

Description

Technical Field

[0001] The present invention relates to the field of smart water technology, and in particular to a 5G-based online water leakage monitoring method, device, and storage medium. Background Art

[0002] According to relevant data, the leakage rate of urban pipelines in my country ranges from 10% to 30%, with an average of 21.5%. Some pipelines have leakage rates as high as 40%, far exceeding the national leakage rate assessment standard of 12.5%. Faced with scarce freshwater resources, it is particularly important to effectively improve water resource utilization and reduce unnecessary waste.

[0003] Current water leakage detection technologies include the following:

[0004] Active detection: Relevant inspection personnel actively and systematically inspect the pipelines and promptly identify leaks. Common active detection methods include acoustic signal analysis, ultrasonic flow meter detection, leakage magnetic flux, infrared photography, and ground humidity detection. Among them, acoustic signal analysis is the most representative. When a water supply pipeline leaks, water will spray out from the leak point under high pressure. Due to the friction between the water and the leak point, a vibration signal will be generated. This signal will be transmitted along the pipe wall. By detecting these vibration signals, it can be determined whether the pipeline has a perforation. Active detection methods can actively detect pipeline leaks through corresponding methods, so the most effective way to reduce the leakage rate is to use active detection methods.

[0005] Passive detection: Instead of proactively measuring leaks, inspectors wait until leak reports are received before conducting inspections to locate the leaking location. Common passive leak detection methods include ground listening, pressure-boosting, and zoned detection.

[0006] Intelligent online water use detection system: With the development of wireless communication technology, the intelligent online water use detection system can basically realize the remote collection and transmission of water use data, but the analysis function is single, the data acquisition interval is large, the data volume is small, and it is impossible to accurately analyze water use units. It lacks the support of the background big data analysis and management system.

[0007] Current water leak detection systems have some shortcomings:

[0008] Both active and passive monitoring methods are purely manual systems. These methods are subject to significant labor costs, complex operations, poor real-time performance, and demanding operator requirements, severely hindering their development.

[0009] Traditional communication transmission methods cannot cover underground scenarios, and the massive connection problem cannot be well solved.

[0010] Traditional network management platforms are complex to build and maintain, and are costly, so there is value and necessity for further research and improvement of water leakage detection systems.

[0011] The existing online water usage monitoring system can realize the remote collection, storage and transmission of water usage data, but it cannot analyze the leaking units in the background management center and accurately locate the leaking pipes. Summary of the Invention

[0012] The purpose of the present invention is to solve at least one of the shortcomings of the prior art and provide a 5G-based online water leakage monitoring method, device and storage medium.

[0013] In order to achieve the above object, the present invention adopts the following technical solutions:

[0014] Specifically, a 5G-based online water leakage monitoring method is proposed, including the following:

[0015] Number each user's water meter;

[0016] Acquire water meter data of each water meter, wherein the water meter data includes real-time flow data and daily frozen flow data;

[0017] Analyze whether there is a water leakage according to the water meter data. If not, it is determined that there is no task and a sleep command is sent to the corresponding water meter. If there is a water leakage, an alarm reminder is issued.

[0018] Furthermore, the method further comprises:

[0019] The server obtains the user's water meter settings and sends the setting command to the coap platform;

[0020] After receiving the setting command, the coap platform converts the setting command into binary through the plug-in and sends it to the water meter;

[0021] The water meter executes the setting command, generates a setting result feedback package, and sends the result feedback package to the coap platform;

[0022] The coap platform receives the result feedback package, parses the result feedback package into jason format and sends it to the server;

[0023] The server receives and parses the jason format information, stores the parsed information, and completes the water meter configuration settings.

[0024] Further, specifically,

[0025] The real-time flow data is the data regularly reported by the water meter at a first preset time interval T1; the daily frozen flow data is the data frozen at a second preset time interval T2 on the previous day.

[0026] Furthermore, specifically, the water meter data is reported to the server in the following manner:

[0027] The water meter obtains a trigger instruction, which includes a timed trigger instruction and an active trigger instruction, and reports a data packet to the coap platform when receiving the trigger instruction;

[0028] The coap platform receives the data and parses it into jason format, and sends the data in jason format to the server;

[0029] After the server reads and stores the data, it determines that there is no task to be performed and sends a sleep command to the coap platform.

[0030] The coap platform receives the sleep command, converts the sleep command into binary through the plug-in and sends it to the water meter;

[0031] The water meter receives the sleep command and goes into sleep mode.

[0032] Further, specifically, analyzing whether there is a water leakage according to the water meter data includes the following:

[0033] By combining the hierarchical measurement difference method with the abnormal water volume warning method during non-water use periods, dynamic water leakage warning is carried out on water meter data. Specifically;

[0034] The hierarchical metering difference method specifically establishes multi-level master and sub-meters to count water usage. The master meter and sub-meter readings are counted at threshold intervals. The total readings of adjacent water meters are then compared to see if they are consistent within the allowable error range. If not, the leak is located between the two levels of water meters with inconsistent total readings, and an alert is issued accordingly.

[0035] The abnormal water volume warning method during the non-water period specifically sets an abnormal water volume threshold for each online water meter during the non-water period, and obtains the water usage data of each online water meter during the non-water period. If the water usage data exceeds the abnormal water volume threshold for at least two cycles during the non-water period, the system defines the monitoring area of ​​the corresponding online water meter as a leaking section and issues an early warning.

[0036] Further, specifically, the first preset time interval T1 is 30 minutes, and the second preset time interval is also 30 minutes.

[0037] Furthermore, the method further comprises:

[0038] When storing data, the server displays the specific data in the form of a chart.

[0039] The present invention also proposes a 5G-based online water leakage monitoring system, including the following:

[0040] A server, the server comprising:

[0041] Cloud platform system, which is used for water meter management, message management, report management and system management,

[0042] A water leakage monitoring platform, which is used for water use information analysis, remote control, and water leakage monitoring;

[0043] Multiple water meters, associated with user information;

[0044] The coap platform is connected to the server and the water meter respectively for communication, and is used to convert the information sent by the server and the water meter into a format for transmission.

[0045] Furthermore, specifically, the water leakage monitoring platform includes:

[0046] Water meter numbering module, used to number each user's water meter;

[0047] A data acquisition module is used to acquire water meter data of each water meter, wherein the water meter data includes real-time flow data and daily frozen flow data;

[0048] The water leakage analysis module is used to analyze whether there is a water leakage based on the water meter data. If not, it is determined that there is no task and a sleep command is sent to the corresponding water meter. If there is a water leakage, an alarm reminder is issued.

[0049] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0050] The beneficial effects of the present invention are:

[0051] The present invention proposes a 5G-based online water leakage monitoring method. The present invention can meet the water consumption monitoring and management needs of multiple water meters. It has a flexible design structure and can manage multiple water meters. At the same time, it can incorporate the water meter status into standardized management, monitor the water consumption of water units, monitor water leakage losses, reduce water losses, and improve water resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The above and other features of the present disclosure will become more apparent through a detailed description of the embodiments shown in conjunction with the accompanying drawings. The same reference numerals in the drawings of the present disclosure represent the same or similar elements. Obviously, the drawings described below are only some embodiments of the present disclosure. It is possible for a person skilled in the art to derive other drawings based on these drawings without inventive effort. In the drawings:

[0053] Figure 1 Shown is a flow chart of the 5G-based online water leakage monitoring method of the present invention;

[0054] Figure 2 Shown is a system architecture diagram of the 5G-based online water leakage monitoring system of the present invention;

[0055] Figure 3 The figure shows the water meter configuration setting framework diagram of the 5G-based water leakage online monitoring method of the present invention;

[0056] Figure 4 The figure shows a water meter data reporting framework diagram of the 5G-based online water leakage monitoring method of the present invention;

[0057] Figure 5 Shown is a schematic diagram of the structure of water meters at various levels using the hierarchical measurement difference method of the 5G-based online water leakage monitoring method of the present invention;

[0058] Figure 6 Shown is a schematic diagram of the abnormal water volume threshold of the 5G-based online water leakage monitoring method of the present invention. DETAILED DESCRIPTION

[0059] The following will be combined with the embodiments and drawings to clearly and completely describe the concept, specific structure and technical effects of the present invention so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that the embodiments and features in the embodiments of this application can be combined with each other unless there is a conflict. The same reference numerals used throughout the drawings indicate the same or similar parts.

[0060] Reference Figure 1 as well as Figure 2 In Example 1, the present invention proposes a 5G-based online water leakage monitoring method, comprising the following:

[0061] Step 110: Number each user's water meter;

[0062] Step 120: Acquire water meter data of each water meter, wherein the water meter data includes real-time flow data and daily frozen flow data;

[0063] Step 130: Analyze whether there is water leakage based on the water meter data. If not, it is determined that there is no task and a sleep command is sent to the corresponding water meter. If there is water leakage, an alarm reminder is issued.

[0064] As a preferred embodiment of the present invention, the method further comprises:

[0065] The server obtains the user's water meter settings and sends the setting command to the coap platform;

[0066] After receiving the setting command, the coap platform converts the setting command into binary through the plug-in and sends it to the water meter;

[0067] The water meter executes the setting command, generates a setting result feedback package, and sends the result feedback package to the coap platform;

[0068] The coap platform receives the result feedback package, parses the result feedback package into jason format and sends it to the server;

[0069] The server receives and parses the jason format information, stores the parsed information, and completes the water meter configuration settings.

[0070] Reference Figure 3 As a preferred embodiment of the present invention, specifically,

[0071] The real-time flow data is the data regularly reported by the water meter at a first preset time interval T1; the daily frozen flow data is the data frozen at a second preset time interval T2 on the previous day.

[0072] Reference Figure 4 As a preferred embodiment of the present invention, specifically, the water meter data is reported to the server in the following manner:

[0073] The water meter obtains a trigger instruction, which includes a timed trigger instruction and an active trigger instruction, and reports a data packet to the coap platform when receiving the trigger instruction;

[0074] The coap platform receives the data and parses it into jason format, and sends the data in jason format to the server;

[0075] After the server reads and stores the data, it determines that there is no task to be performed and sends a sleep command to the coap platform.

[0076] The coap platform receives the sleep command, converts the sleep command into binary through the plug-in and sends it to the water meter;

[0077] The water meter receives the sleep command and goes into sleep mode.

[0078] As a preferred embodiment of the present invention, specifically, analyzing whether there is a water leakage according to the water meter data includes the following:

[0079] By combining the hierarchical measurement difference method with the abnormal water volume warning method during non-water use periods, dynamic water leakage warning is carried out on water meter data. Specifically;

[0080] The hierarchical metering difference method specifically establishes multi-level master and sub-meters to count water usage. The master meter and sub-meter readings are counted at threshold intervals. The total readings of adjacent water meters are then compared to see if they are consistent within the allowable error range. If not, the leak is located between the two levels of water meters with inconsistent total readings, and an alert is issued accordingly.

[0081] The abnormal water volume warning method during the non-water period specifically sets an abnormal water volume threshold for each online water meter during the non-water period, and obtains the water usage data of each online water meter during the non-water period. If the water usage data exceeds the abnormal water volume threshold for at least two cycles during the non-water period, the system defines the monitoring area of ​​the corresponding online water meter as a leaking section and issues an early warning.

[0082] Hierarchical metering difference method: This system is designed to consist of a master meter and sub-meters at all levels. Every day, the system will count the water usage of the master meter (the degree of w1 in the figure below) and the water usage of each sub-meter separately, as follows Figure 5 The system aggregates and calculates the difference between the water readings at the secondary sub-meters and the total meter to determine if there is a leak in the entire pipe network. If the statistics reveal a discrepancy between the water volume at a particular sub-meter and the water volume at the lower levels, it can be determined that there is a leak in that sub-meter. The system will then locate the leaking section and issue an alert.

[0083] Reference Figure 6 Abnormal water volume warning during non-use periods: The system has an abnormal water volume warning line for each online water meter during non-use periods. After the abnormal water volume warning line is set during non-use periods, the system automatically compares water volume during non-use periods. If a water meter is found to have consistently and regularly exceeded the abnormal water volume warning line during non-use periods, the system will locate the leaking section and issue an alert.

[0084] As a preferred embodiment of the present invention, specifically, the first preset time interval T1 is 30 minutes, and the second preset time interval is also 30 minutes.

[0085] As a preferred embodiment of the present invention, the method further comprises:

[0086] When storing data, the server displays the specific data in the form of a chart.

[0087] In Example 2, the present invention further proposes a 5G-based online water leakage monitoring system, comprising the following:

[0088] A server, the server comprising:

[0089] Cloud platform system, which is used for water meter management, message management, report management and system management,

[0090] A water leakage monitoring platform, which is used for water use information analysis, remote control, and water leakage monitoring;

[0091] Multiple water meters, associated with user information;

[0092] The coap platform is connected to the server and the water meter respectively for communication, and is used to convert the information sent by the server and the water meter into a format for transmission.

[0093] The system adheres to the "five unifications" principles of water conservancy information development (unified technical standards, unified operating environment, unified security, unified data center, and unified portal). With water use and leak monitoring management systems at its core, it incorporates IoT technology and integrates application support services into a modern management system. The online leak monitoring and management system is developed using Java and Spring Boot as a layered architecture. Based on component technology, changes are encapsulated within the components. This system meets both rapid business response requirements and the demands of large, complex, and asynchronous data volumes, demonstrating excellent scalability. Data collected by the collector is transmitted via the network layer and stored in the data resource layer. After interpretation and analysis within the system, the data can be displayed and viewed within the application.

[0094] As a preferred embodiment of the present invention, specifically, the water leakage monitoring platform includes:

[0095] Water meter numbering module, used to number each user's water meter;

[0096] A data acquisition module is used to acquire water meter data of each water meter, wherein the water meter data includes real-time flow data and daily frozen flow data;

[0097] The water leakage analysis module is used to analyze whether there is a water leakage based on the water meter data. If not, it is determined that there is no task and a sleep command is sent to the corresponding water meter. If there is a water leakage, an alarm reminder is issued.

[0098] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0099] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

[0100] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, or each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules.

[0101] If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or system that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0102] Although the present invention has been described in considerable detail and with particularity with respect to several described embodiments, it is not intended to be limited to any of these details or embodiments or any particular embodiment, but rather should be construed as providing a broad possible interpretation of these claims in view of the prior art by reference to the appended claims, thereby effectively encompassing the intended scope of the invention. In addition, the invention has been described above in terms of embodiments foreseen by the inventors for the purpose of providing a useful description, and those insubstantial modifications of the invention that are not currently foreseen may still represent equivalent modifications of the invention.

[0103] The above description is merely a preferred embodiment of the present invention. The present invention is not limited to the above-described embodiments. As long as the technical effects of the present invention are achieved by the same means, they shall fall within the scope of protection of the present invention. Within the scope of protection of the present invention, various modifications and variations of the technical solutions and / or implementation methods may be made.

Claims

1. The 5G-based online water leakage monitoring method is characterized by: These include: Number each user's water meter; Acquire water meter data of each water meter, wherein the water meter data includes real-time flow data and daily frozen flow data; Analyze whether there is water leakage according to the water meter data. If not, it is determined that there is no task and a sleep command is sent to the corresponding water meter. If there is water leakage, an alarm reminder is issued; Specifically, analyzing whether there is a water leakage based on the water meter data includes the following: By combining the hierarchical measurement difference method with the abnormal water volume warning method during non-water use periods, dynamic water leakage warning is provided based on water meter data; Specifically, The hierarchical metering difference method specifically establishes a multi-level master meter to count water usage. The master meter and each sub-meter's water usage are counted at threshold intervals. The total readings of adjacent water meters are then compared to see if they are within the allowable error range. If not, the leaking section is located between two water meters whose total readings are outside the allowable error range, and an early warning is issued accordingly. The abnormal water volume warning method during the non-water period specifically sets an abnormal water volume threshold for each online water meter during the non-water period, and obtains the water consumption data of each online water meter during the non-water period. If the water consumption data exceeds the abnormal water volume threshold for at least two cycles during the non-water period, the system defines the monitoring area of ​​the corresponding online water meter as a leaking section and issues an early warning. Specifically, The real-time flow data is the data regularly reported by the water meter at a first preset time interval T1; the daily frozen flow data is the data frozen at a second preset time interval T2 on the previous day.

2. The 5G-based online water leakage monitoring method according to claim 1 is characterized in that: The method further comprises, The server obtains the user's water meter settings and sends the setting command to the coap platform; After receiving the setting command, the coap platform converts the setting command into binary through the plug-in and sends it to the water meter; The water meter executes the setting command, generates a setting result feedback package, and sends the result feedback package to the coap platform; The coap platform receives the result feedback package, parses the result feedback package into jason format and sends it to the server; The server receives and parses the jason format information, stores the parsed information, and completes the water meter configuration settings.

3. The 5G-based online water leakage monitoring method according to claim 1 is characterized in that: Specifically, the water meter data is reported to the server in the following ways: The water meter obtains a trigger instruction, which includes a timed trigger instruction and an active trigger instruction, and reports a data packet to the coap platform when receiving the trigger instruction; The coap platform receives the data packet and parses it into jason format, and sends the data in jason format to the server; After the server reads and stores the data, it determines that there is no task to be performed and sends a sleep command to the coap platform. The coap platform receives the sleep command, converts the sleep command into binary through the plug-in and sends it to the water meter; The water meter receives the sleep command and goes into sleep mode.

4. The 5G-based online water leakage monitoring method according to claim 1, characterized in that: Specifically, the first preset time interval T1 is 30 minutes, and the second preset time interval is also 30 minutes.

5. The 5G-based online water leakage monitoring method according to claim 2 is characterized in that: The method further comprises, When storing data, the server displays the specific data in the form of a chart.

6. The 5G-based online water leakage monitoring system is characterized by: The method according to any one of claims 1 to 5 is applied, comprising the following steps: A server, the server comprising: Cloud platform system, which is used for water meter management, message management, report management and system management, Water leakage monitoring platform, which is used for water use information analysis, remote control and water leakage monitoring, Multiple water meters, associated with user information; The coap platform is connected to the server and the water meter respectively for communication, and is used to convert the information sent by the server and the water meter into a format for transmission.

7. The 5G-based online water leakage monitoring system according to claim 6 is characterized in that: Specifically, the water leakage monitoring platform includes: Water meter numbering module, used to number each user's water meter; A data acquisition module is used to acquire water meter data of each water meter, wherein the water meter data includes real-time flow data and daily frozen flow data; The water leakage analysis module is used to analyze whether there is a water leakage based on the water meter data. If not, it is determined that there is no task and a sleep command is sent to the corresponding water meter. If there is a water leakage, an alarm reminder is issued.

8. A computer-readable storage medium storing a computer program, wherein: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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