Intelligent monitoring device for water supply network

Abstract

The invention relates to the technical field of water supply and drainage, and discloses an intelligent monitoring device for a water supply network. The device comprises a water supply pipe network flow intelligent monitoring module and an electromagnetic valve, wherein the water supply pipe network flow intelligent monitoring module consists of an intelligent water meter with a data transmission function, a pipe network water leakage decision module, an alarm buzzer and a pipe network flow data storage module. The intelligent water meter collects pipe network flow data in real time and transmits the data to the pipe network water leakage decision module, and the module calls historical data for comparative analysis and judges whether a pipe network leaks or not in combination with a self-adaptive leakage alarm algorithm. If leakage exists, the alarm buzzer is triggered to give an alarm according to the leakage degree, and the electromagnetic valve is controlled to be opened and closed to block water leakage. The device realizes on-site analysis control of the tail end of the water supply network, solves the problems of high cost, slow response and the like of traditional leakage detection, reduces waste of water resources, ensures safety and stability of a water supply system, and has wide application prospects.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water supply and drainage, in particular to an intelligent monitoring device for a water supply network. BACKGROUND

[0002] Under the background of accelerating urbanization and continuous growth of urban water demand, as a core component of urban infrastructure, the operation stability of water supply network is directly related to the life of residents, industrial production and public safety. However, the current water supply network system is generally faced with the problem of prominent damage and leakage which is difficult to find in time, which has become a key bottleneck restricting the efficiency of water supply and water resource utilization. According to statistics, the leakage rate of urban water supply network in China has been higher than 15% for a long time, and even more than 20% in some old urban areas. The total amount of water resources wasted due to pipe network leakage reaches several billion cubic meters every year, which not only aggravates the contradiction between water supply and demand, but also increases the energy consumption and operating cost of water production, transportation and distribution links, which is significantly different from the goal of building a water-saving society.

[0003] Especially critical is that the leakage problem of fire water supply network, as an important component of urban emergency security system, is more serious. Fire water supply network needs to maintain stable pressure and flow reserve for a long time to ensure quick response and effective fire extinguishing when fire occurs. If such pipe network leaks, on the one hand, it will cause the pressure in the pipe to continue to drop, and once a fire occurs, the fire gun, fire hydrant and other equipment may not work normally due to insufficient water pressure, directly threatening the safety of buildings and personnel life and property; on the other hand, fire water supply network is mostly buried underground or in hidden areas, and it is difficult to detect at the initial stage of leakage, and long-term leakage may also cause secondary disasters such as surrounding soil subsidence and road settlement, further increasing the risk of urban public safety and the cost of later repair.

[0004] From the perspective of existing technology, the current water supply pipe monitoring and leakage detection methods still have many defects that are difficult to overcome, and cannot meet the intelligent and efficient operation and maintenance needs of modern water supply network: High detection cost: the traditional leakage detection method mainly relies on manual inspection, which requires professional detection personnel and equipment such as leak detector and pipeline detector. For urban areas with wide pipe network coverage and complex pipelines, a large amount of manpower and material resources need to be invested for single leakage detection, and the detection cost increases linearly with the length and complexity of the pipe network, so the long-term operation and maintenance cost is high. Some technical solutions use sonar monitoring and pressure wave monitoring, which have improved the degree of automation, but the cost of equipment purchase and system deployment is high, which is difficult to promote on a large scale in small and medium-sized cities or old pipe network renovation projects.

[0005] Long detection time: manual leak detection needs to check the pipe network section by section. For underground pipelines in dense and complex surrounding environments, such as busy road sections and commercial core areas, the efficiency of the investigation is extremely low. It often takes several hours or even several days from discovering suspected leakage signals to accurately locating the leakage point. Even automated detection systems rely on centralized data processing, and there is a delay in data transmission and analysis, making it difficult to quickly locate the leakage point. This leads to the continuous expansion of the leakage problem during the detection period, further exacerbating water resource loss and pipe network damage.

[0006] Slow response speed: Existing monitoring technologies are mostly "periodic monitoring" or "passive alarm" modes, which cannot capture changes in pipe network operation in real time. For example, pressure-based leak detection systems can only alert when there is a significant drop in pipe network pressure, but by then the leak has already occurred for some time. Some solutions that rely on flow statistics require a certain period of flow data to determine abnormalities, which cannot achieve "real-time monitoring and immediate response". This makes it difficult to detect small leaks in the early stages, creating a passive situation where small leaks are not detected and large leaks are difficult to control.

[0007] Low level of intelligence: Existing technologies lack deep use of historical operation data of the pipe network, and cannot make differentiated judgments based on different time periods, such as weekdays and holidays, peak and off-peak water usage, and different scenarios, such as residential areas, commercial office areas, and industrial production areas. This can easily misjudge normal water fluctuations as leaks or miss reports due to not considering special water needs, such as irrigation, road washing, and large equipment water usage, further reducing leak detection accuracy and system reliability.

[0008] In summary, current water supply pipe network monitoring and leak detection technology cannot meet the needs of high-quality development of urban water supply systems. There is an urgent need for an intelligent monitoring solution for water supply pipe networks that can achieve real-time monitoring, accurate judgment, rapid response, and low-cost deployment. Through technological innovation, we can break through existing bottlenecks, effectively reduce pipe network leakage rates, reduce water resource waste, and ensure the safe and stable operation of water supply systems and fire protection systems, providing key technical support for the intelligent upgrading of urban infrastructure. SUMMARY

[0009] The purpose of the present application is to overcome the defects of high cost, long time, and slow response of existing water supply pipe network leak detection technology. The present application provides an intelligent monitoring device for water supply pipe networks, which realizes real-time monitoring of the operation state of the water supply pipe network, accurate judgment of leaks, and rapid disposal, reduces water resource waste, and ensures the safety and stability of the water supply system.

[0010] In order to achieve the above object, the application provides a water supply network intelligent monitoring device, which comprises a water supply network flow intelligent monitoring module 1 and an electromagnetic valve 2; the water supply network flow intelligent monitoring module 1 comprises an intelligent water meter 3 with a data transmission function, a pipe network leakage decision module 4, an alarm buzzer 5 and a pipe network flow data storage module 6; the intelligent water meter 3 is used for collecting flow data of a water supply network branch pipe 7 in real time, and transmitting the real-time flow data to the pipe network leakage decision module 4, and storing the flow information to the pipe network flow data storage module 6 at a fixed time; the pipe network leakage decision module 4 calls the historical flow data of the pipe network in the pipe network flow data storage module 6, compares the real-time flow data, judges the running state of the pipe network through an adaptive leakage alarm algorithm; if it is determined that the pipe network has leakage, the pipe network leakage decision module 4 controls the alarm buzzer 5 to send an alarm signal, and controls the electromagnetic valve 2 to open and close according to the leakage degree; the electromagnetic valve 2 has two functions of manual and automatic opening and closing, and the automatic opening and closing state is controlled by the signal of the pipe network leakage decision module 4.

[0011] Further, the pipe network leakage decision module 4 calculates the flow characteristics of the water supply network in each period by monitoring and learning the historical data of the running of the pipe network at each time, forms a pipe network virtual running curve based on big data, and the pipe network virtual running curve covers the flow data at each time on holidays and weekdays.

[0012] Further, the pipe network leakage decision module 4 calculates the difference a between the measured flow and the calculated flow in the pipe network virtual running curve, a = measured flow - calculated flow, when a ≤ threshold value x, it is determined that the pipe network is running normally; when threshold value x < a < threshold value y, the alarm buzzer 5 is controlled to send an alarm signal, and the electromagnetic valve 2 is kept open; when a ≥ threshold value y, the alarm buzzer 5 is controlled to send an alarm signal, and the electromagnetic valve 2 is controlled to close the corresponding pipe section.

[0013] Further, the threshold value x and the threshold value y can be manually set or kept as default when the device is first run, and then automatically adjusted in real time according to the water use behavior in the building or area by the adaptive leakage alarm algorithm, so as to adapt to the change of water use law in different scenes.

[0014] Further, the adaptive leakage alarm algorithm comprehensively considers the historical flow data of the pipe network, the real-time number of water users and the special water use situation; the infrared passenger flow monitor is arranged at the entrance of the building or area to count the number of people at each time, the correlation between the number of people and the hourly water consumption is fitted, the predicted water consumption of personnel is compared with the calculated water consumption of the pipe network virtual running curve, and the threshold value x and the threshold value y are dynamically adjusted.

[0015] Further, for the non-continuous large water consumption points in the building, an auxiliary electromagnetic valve is arranged on the water supply pipeline thereof, the pipe network leakage decision module 4 monitors the opening and closing state of the auxiliary electromagnetic valve in real time, when the auxiliary electromagnetic valve is opened, the threshold value x and the threshold value y are automatically increased, so as to avoid that the flow fluctuation caused by special water use is misjudged as pipe network leakage.

[0016] Further, the pipe network flow data storage module (6) of the water supply pipe network flow intelligent monitoring module 1 supports storing flow data at a preset time interval, and the stored data can be stored for a long time, so as to assist in analyzing the leakage hidden danger law by allowing the staff to trace back and query the historical operation state of the pipe network.

[0017] Further, the alarm buzzer 5 has the alarm sound output function of different frequencies: when the pipe network is in the slight abnormal state of threshold value x < a < threshold value y, a low-frequency alarm sound is output; when the pipe network is in the serious leakage state of a >= threshold value y, a high-frequency alarm sound is output, so as to distinguish the alarm emergency degree.

[0018] Further, the data transmission function of the intelligent water meter 3 supports wireless or wired transmission modes, the wireless transmission can adopt low-power wide-area network technologies such as LoRa and NB-IoT, and the wired transmission can adopt the RS485 bus mode, which is suitable for the pipe network wiring environment of different buildings.

[0019] Further, the whole device is installed at important nodes of the water supply pipe network branch pipeline 7, including but not limited to the connection place of the floor water supply branch and the main pipe and the starting end of the water supply branch of the large water use area, so as to realize accurate monitoring of the key areas of the pipe network.

[0020] The beneficial effects of the present application are: (1) The device collects flow data in real time through the intelligent water meter, generates a virtual operation curve in combination with historical pipe network data, judges the leakage condition by using a self-adaptive leakage alarm algorithm, and compared with the traditional manual leakage detection, the response time is shortened from several hours to minutes, the leakage detection accuracy is greatly improved, and the missed detection and false detection are effectively avoided; (2) When the pipe network leaks, the device can quickly close the valve according to the leakage degree, so as to prevent the continuous waste of water resources, and compared with the pipe network without monitoring, the device can reduce the leakage loss of water resources through actual test; (3) The device realizes automatic monitoring and control, and does not need a person to be on duty for 24 hours, so as to reduce the labor cost; at the same time, by finding the leakage in advance and repairing in time, the large-area damage of the pipe network caused by long-term leakage is reduced, and the pipe network maintenance cost is reduced; (4) By dynamically adjusting the threshold value, adapting to personnel flow changes and special water scenes, avoiding false alarms and misoperation, it can be widely used in different scenes such as dormitory buildings, office buildings, residential buildings and large public buildings, and has wide application range; Especially when applied in fire water supply pipe network, it can timely find the leakage problem, avoid insufficient fire water pressure caused by pipe network leakage, ensure the reliability of the fire protection system, and indirectly improve the safety level of the building. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 The structure of the water supply pipe network intelligent monitoring device of the embodiment of the application is shown in the schematic diagram. Figure 2 The operation control flowchart of the embodiment of the application is shown in the schematic diagram.

[0022] BRIEF DESCRIPTION OF DRAWINGS: 1-intelligent monitoring module of water supply pipe network flow, 2-solenoid valve, 3-intelligent water meter, 4-pipe network leakage decision module, 5-alarm buzzer, 6-pipe network flow data storage module, 7-water supply pipe network branch pipe. DETAILED DESCRIPTION

[0023] The specific embodiments of the application will be further described in detail below in combination with the drawings and examples. The following examples are used to illustrate the application, but not to limit the scope of the application.

[0024] In order to make the drawing simple, only the parts related to the application are shown in the drawings, which do not represent the actual structure of the product. In addition, in order to make the drawing simple and easy to understand, in some drawings, only one of the components with the same structure or function is shown, or only one of them is marked.

[0025] In the embodiments shown in the drawings, the directions such as up, down, left, right, etc. are used to explain the structure and movement of various components of the application, which are not absolute but relative. When these components are in the position shown in the drawings, these descriptions are appropriate. If the position of these components changes, the directions will change accordingly.

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the specific embodiments of the application will be described below with reference to the drawings. Obviously, the drawings in the following description are only some embodiments of the application, and for those skilled in the art, other drawings of similar products with other embodiments can be obtained without creative labor.

[0027] As Figure 1As shown, the water supply network intelligent monitoring device of the embodiment comprises a water supply network flow intelligent monitoring module 1 and an electromagnetic valve 2. The water supply network flow intelligent monitoring module 1 and the electromagnetic valve 2 work cooperatively to complete network flow monitoring, leakage judgment, alarm and valve operation.

[0028] Specifically, the water supply network flow intelligent monitoring module 1 comprises an intelligent water meter 3 with data transmission function, a network leakage decision module 4, an alarm buzzer 5 and a network flow data storage module 6. Among them: The intelligent water meter 3 is installed at an important node of a branch pipeline 7 of the water supply network, can collect water flow data in the network in real time, synchronously transmit the real-time flow data to the network leakage decision module 4 on one hand, and store the flow information to the network flow data storage module 6 at a preset time interval on the other hand, to provide historical data support for subsequent data analysis.

[0029] The network flow data storage module 6 is used for long-term storage of historical flow data and real-time flow data of network operation, forming a complete flow database, which covers flow information of different time periods such as holidays and weekdays, and provides a data basis for analysis and judgment of the network leakage decision module 4.

[0030] The network leakage decision module 4 is the core control component of the device, which has a built-in adaptive leakage alarm algorithm. The specific process is shown in Figure 2 Firstly, the module calculates the flow characteristics of the water supply network in each period by monitoring and learning the hourly running historical data in the network flow data storage module 6, and generates a virtual network running curve based on big data; then, the real-time flow data transmitted by the intelligent water meter 3 is compared with the calculated flow in the virtual network running curve to obtain the difference a, a = measured flow - calculated flow; finally, the relationship between the difference a and the preset threshold value is used to judge the network running state: When a≤threshold value x, it is determined that the network is running normally, and the device does not perform alarm or valve operation; When threshold value x < a < threshold value y, it is determined that the network has slight abnormality or suspected leakage, the network leakage decision module 4 controls the alarm buzzer 5 to send an alarm signal to remind the staff to investigate in time, but the electromagnetic valve 2 remains open to avoid affecting normal water supply; When a≥threshold value y, it is determined that the network has obvious leakage or pipe burst, and the network leakage decision module 4 triggers two operations at the same time: one is to control the alarm buzzer 5 to send a high-frequency alarm signal, and the other is to send a closing instruction to the electromagnetic valve 2 to close the valve of the corresponding pipe section to prevent continuous leakage of water resources.

[0031] The alarm buzzer 5 receives the control signal of the network leakage decision module 4, and transmits the network abnormal information to the staff through the sound alarm mode to ensure that the abnormal situation can be found in time.

[0032] The electromagnetic valve 2 is connected with the water supply network branch pipeline 7, and has manual and automatic opening and closing functions: in the automatic mode, the opening and closing state is completely controlled by the signal of the network leakage decision module 4; in the manual mode, the staff can directly operate the opening and closing of the electromagnetic valve 2 according to the actual situation on the spot, so that the flexibility and emergency processing capacity of the device are improved.

[0033] In addition, in order to improve the leakage detection accuracy and avoid false alarm and misoperation in special water use conditions, the adaptive leakage alarm algorithm also has a threshold dynamic adjustment function: Personnel flow correlation adjustment: by setting an infrared passenger flow monitor at the entrance and exit of a building or a monitoring area, the hourly number of people in the area is counted in real time, and the correlation between the total number of people in the area and the hourly water consumption is fitted according to historical data, so that the water consumption predicted by the number of people is compared with the water consumption calculated by the virtual operation curve of the network, and the threshold x and the threshold y are automatically adjusted. Special water use point correlation adjustment: for non-continuous large water use points in the building, such as irrigation of greenery and washing of garage, an electromagnetic valve is separately arranged on the water supply pipeline of the special water use point, and the device monitors the opening and closing state of the electromagnetic valve in real time, so that when the electromagnetic valve is opened, the threshold x and the threshold y are automatically increased to avoid misjudgment of sudden increase of flow as leakage due to special water use.

[0034] The alarm buzzer 5 has different frequency alarm sound output functions: when the network is in a slight abnormal state of threshold x < a < threshold y, a low-frequency alarm sound is output; when the network is in a serious leakage state of a ≥ threshold, a high-frequency alarm sound is output to distinguish the emergency degree of alarm.

[0035] In a further preferred embodiment, the data transmission function of the intelligent water meter 3 supports wireless or wired transmission modes, wireless transmission can use low-power wide-area network technologies such as LoRa and NB-IoT, and wired transmission can use RS485 bus mode to adapt to the network wiring environment of different buildings.

[0036] In a further preferred embodiment, the device is installed at important nodes of the water supply network branch pipeline 7, including but not limited to the connection between the floor water supply branch and the main pipeline and the starting end of the water supply branch of a large water use area, so that accurate monitoring of the key areas of the network is realized.

[0037] Finally, the method of the present application is only a preferred embodiment, and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A smart monitoring device for water supply networks, characterized in that, The system includes a water supply network flow intelligent monitoring module (1) and a solenoid valve (2). The water supply network flow intelligent monitoring module (1) includes a smart water meter (3) with data transmission function, a network leakage decision module (4), an alarm buzzer (5), and a network flow data storage module (6). The smart water meter (3) is used to collect the flow data of the branch pipes (7) of the water supply network in real time and transmit the real-time flow data to the network leakage decision module (4). At the same time, the flow information is stored in the network flow data storage module (6) at regular intervals. The network leakage decision module (4) calls the historical flow data of the network in the network flow data storage module (6), compares it with the real-time flow data, and judges the network operation status through an adaptive leakage alarm algorithm. If it is determined that there is a leakage in the network, the network leakage decision module (4) controls the alarm buzzer (5) to issue an alarm signal and controls the solenoid valve (2) to open and close according to the degree of leakage. The solenoid valve (2) has two functions: manual and automatic opening and closing. The automatic opening and closing state is controlled by the signal of the network leakage decision module (4).

2. The intelligent monitoring device for water supply networks according to claim 1, characterized in that, The pipeline leakage decision module (4) calculates the flow characteristics of the water supply network in each time period by monitoring and learning the historical data of the pipeline network's hourly operation, and forms a virtual operation curve of the pipeline network based on big data. The virtual operation curve of the pipeline network covers the hourly flow data of holidays and weekdays.

3. The intelligent monitoring device for water supply networks according to claim 2, characterized in that, The pipeline leakage decision module (4) calculates the difference a between the measured flow rate and the calculated flow rate in the virtual operation curve of the pipeline network, a = measured flow rate - calculated flow rate. When a ≤ threshold x, the pipeline network is judged to be operating normally. When the threshold x and threshold y are set manually or kept at default during the first operation of the device, they are automatically adjusted in real time according to the water use behavior in the building or area through the adaptive leakage alarm algorithm to adapt to the changes in water use patterns under different scenarios.

4. The intelligent monitoring device for water supply networks according to claim 3, characterized in that, The adaptive leakage alarm algorithm comprehensively considers historical flow data of the pipeline network, real-time number of water users, and special water usage situations; by setting up infrared passenger flow monitoring instruments at the entrances and exits of buildings or areas to count the number of people hourly, fitting the correlation between the number of people and the hourly water consumption, comparing the predicted water consumption of people with the water consumption calculated by the virtual operation curve of the pipeline network, and dynamically adjusting the thresholds x and y.

5. The intelligent monitoring device for water supply networks according to claim 1, characterized in that, For non-continuous large water usage points in buildings, auxiliary solenoid valves are installed separately in their water supply pipelines. The pipeline leakage decision module (4) monitors the opening and closing status of the auxiliary solenoid valves in real time. When the auxiliary solenoid valves are opened, the thresholds x and y are automatically increased to avoid flow fluctuations caused by special water usage being misjudged as pipeline leakage.

6. The intelligent monitoring device for water supply networks according to claim 5, characterized in that, The intelligent monitoring module (1) for water supply network flow data storage module (6) supports storing flow data at preset time intervals, and the stored data can be retained for a long time, allowing staff to retrospectively query the historical operating status of the network and assist in analyzing the patterns of potential water leakage.

7. The intelligent monitoring device for water supply networks according to claim 1, characterized in that, ​ 8. A smart monitoring device for water supply networks according to claim 1, characterized in that, The alarm buzzer (5) has alarm sound output function at different frequencies: when the pipeline is at the threshold x, the data transmission function of the smart water meter (3) supports wireless or wired transmission mode. Wireless transmission can adopt low power wide area network technology such as LoRa and NB-IoT, and wired transmission can adopt RS485 bus mode to adapt to the pipeline wiring environment of different buildings.

9. The intelligent monitoring device for water supply networks according to claim 1, characterized in that, The device is installed at important nodes of the water supply network branch pipes (7), including but not limited to the connection between the floor water supply branch pipe and the main pipe, and the starting end of the water supply branch pipe in large water use areas, to achieve accurate monitoring of key areas of the network.

10. The intelligent monitoring device for water supply networks according to claim 1, characterized in that, ​

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