A monitoring and control system for an intelligent water supply network

Abstract

This invention relates to an intelligent monitoring and control system for water supply networks, belonging to the field of water supply network monitoring technology. It includes a prediction and coordination module, a water flow prediction module, and a water quality switching module. The prediction and coordination module determines pressure adjustment for each pressure zone when high temperatures are predicted. The water flow prediction module determines pressure adjustment for each pressure zone when low temperatures are predicted. The water quality switching module adjusts the water pressure in each pressure zone based on the degree of pipeline cleaning after a change in water quality. This application is not a simple automated system, but an intelligent platform with environmental perception, scene adaptation, and prediction capabilities. It specifically addresses the refined needs of specific scenarios such as livestock farms and agricultural planting, which cannot be solved by existing technologies, and proposes innovative solutions.

Description

Technical Field

[0001] This invention relates to the field of water supply network monitoring technology, specifically to an intelligent water supply network monitoring and control system. Background Technology

[0002] Intelligent water supply networks are typically designed from four dimensions: the sensing layer, the transmission layer, the platform layer, and the application layer. The sensing layer is used to collect information, that is, to collect the parameters of the sensors in various parts; the transmission layer is used to achieve rapid transmission of data information; the platform layer is used to integrate information; and the application layer is used to control the network.

[0003] For example, a smart management and control system for water supply networks is disclosed in the patent application document with application number 202110122621.7. Specifically, it discloses the ability to determine whether there is a leak in the network through leakage detection and to determine whether the water quality meets the standards.

[0004] The aforementioned technical solutions manage pipeline leaks and water quality anomalies, enabling comprehensive monitoring of the pipeline network. However, in some locations, such as livestock farms, rising temperatures necessitate increased water consumption for some organisms to cool down and maintain physiological functions, leading to the activation of sprinkler cooling systems and a surge in water usage. Without prior weather monitoring, this can disrupt water supply, negatively impacting the survival of some organisms. Furthermore, in severe cold weather, reduced water consumption can cause exposed pipes or end-point drinking fountains to freeze, preventing organisms from drinking. In the aforementioned technical solutions, maintaining water flow at drinking fountains easily identifies leaks, thus limiting the system's ability to provide detailed control over specific environmental conditions. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent monitoring and control system for water supply networks.

[0006] The technical problem solved by this invention is to address the issue that existing water supply management systems cannot make adaptive adjustments to livestock farms and agricultural planting.

[0007] The present invention can be achieved through the following technical solution: an intelligent water supply network monitoring and control system, including a prediction and coordination module, a water flow prediction module and a water quality switching module. The prediction and coordination module is used to determine the pressure adjustment of each pressure zone when high temperature is predicted. The water flow prediction module is used to determine the pressure adjustment of each pressure zone when low temperature is predicted. The water quality switching module adjusts the water pressure of each pressure zone based on the degree of pipe cleaning after water quality change.

[0008] A further technical improvement of the present invention is that the prediction and joint module includes a pipeline pressure parameter acquisition unit, a temperature prediction acquisition unit, a matching unit, and a correction unit. The pipeline pressure parameter acquisition unit is used to acquire the pressure distribution map of each pipeline. The temperature prediction acquisition unit acquires the current highest temperature T1. The matching unit acquires T1 and determines whether water pressure adjustment is required. The correction unit adjusts the water pressure when adjustment is required.

[0009] A further technical improvement of the present invention is that: when the matching unit is in use, the matching unit obtains the temperature T1, and then judges the state of the pressure area. If it is in a breeding farm with a high temperature, it judges whether the organism needs to be rinsed and cooled, and whether the area needs to be regulated by the pipeline pressure.

[0010] A further technical improvement of the present invention is that: when the correction unit is in use, a danger threshold WY is set. When T1≧WY, the pressure of the pipeline needs to be increased by GY=(T1-WY)×A+A, where A is the set threshold.

[0011] A further technical improvement of the present invention is that: when the matching unit is in use, the matching unit obtains the temperature T1. If it is in an agricultural area, the correction unit obtains the irrigation time as 5 pm to 8 pm and pressurizes the water pressure of the pipeline network in the area where the agricultural area is located.

[0012] A further technical improvement of the present invention is that the water flow prediction module includes a temperature influence unit, a microflow detection unit, and a re-regulation unit. The temperature influence unit is used to record the changes in the pressure area at low temperatures. The microflow detection unit is used to obtain the water flow rate, that is, to determine whether the flow rate of the microflow has decreased and whether there is freezing. If so, the network pressure in that area is increased, and the re-regulation unit is activated.

[0013] A further technical improvement of the present invention is that: when the re-regulation unit is in use, it controls the pipeline pressure in the area and the smart valve in the area. By opening the smart valve, it flushes with high-pressure water, determines and resolves any possible freezing conditions in the area, and after flushing, it adjusts the pressure in the area through the re-regulation unit and the regulation of the smart valve to reduce the pressure.

[0014] A further technical improvement of the present invention is that the water quality switching module includes a pipeline cleaning unit. When in use, the pipeline cleaning unit uses a water quality monitor to detect water quality and uploads the water quality data from the user end to the system. By comparing the water quality from the water quality monitor with the water quality from the user end, it is determined whether the pipeline needs to be cleaned. If so, the pipeline cleaning unit applies a certain water pressure, so that the water with higher pressure flows through the pipeline, and uses high-speed water flow to perform pulse flushing on the drinking water pipeline, and automatically switches the dirty water after flushing to the sewage pipeline.

[0015] A further technical improvement of the present invention is that it also includes a data transmission module, a data integration platform, and a control module. The data transmission module is used to send data, the data integration platform is used to classify, integrate, and store the transmitted data, and the control module issues control commands based on the data integrated by the data integration platform to achieve pipeline pressure control.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. This application's system uses a temperature prediction and acquisition unit to obtain the highest temperature T1 in advance. When it determines that T1 exceeds the danger threshold WY, the system will predict the peak water usage caused by the farm's upcoming activation of the sprinkler cooling system. Using the formula GY=(T1-WY)×A+A, the system accurately calculates the required pressure increase and pre-pressurizes the farm's regional pipeline network. This avoids the risks of water pressure collapse, sprinkler failure, and livestock stress or even death due to high temperatures caused by the delayed response of traditional systems.

[0017] 2. This application targets agricultural sites, and the system does not simply irrigate when temperatures are high. It intelligently judges and executes pressurization based on the temperature T1 and the preset optimal irrigation time (5 pm to 8 pm). This avoids scorching crops by irrigating during high-temperature periods and ensures sufficient water pressure and volume for deep irrigation during the optimal time, achieving the dual goals of water conservation and yield protection.

[0018] 3. The system in this application monitors minute flow rates in real time through a microflow detection unit. When a decrease in microflow is detected (suspected icing blockage), and combined with low-temperature data recorded by the temperature influence unit, the system can accurately identify areas at risk of freezing, rather than misjudging them as leaks.

[0019] 4. This application activates the re-regulation unit, which opens the intelligent valve to powerfully flush the pipeline with high-pressure water, breaking up any ice blockages. After flushing, the pressure is automatically restored to normal, preventing excessive pressure from causing waste or damage. This process is fully automated, ensuring that livestock can drink water in any frigid weather.

[0020] 5. This application system compares data from water quality monitoring instruments (pipeline end) and user-end water quality tests (livestock drinking fountains). If discrepancies exist, it indicates that biofilm or drug residue may have formed inside the pipeline (especially after medication). When cleaning is deemed necessary, the pipeline cleaning unit automatically executes a program: applying specific water pressure and using high-speed water flow to pulse-flush the drinking water pipeline, and automatically switching the high-concentration dirty water after flushing to the sewage pipe, ensuring it does not flow into the livestock drinking area. This ensures the accuracy of each medication concentration and prevents drug residues from affecting the next batch of livestock.

[0021] 6. This application's system uses a regional pressure pairing unit to bind influencing parameters such as temperature, time, and water usage characteristics to specific pressure zones. Livestock farms rely on temperature thresholds, while farmland relies on time and drying parameters. Different zones do not interfere with each other, and the system independently regulates according to its own logic, achieving "one policy per location" intelligent management.

[0022] 7. This application's system transmits and stores data separately according to different pressure zones through a regional data upload unit. The data integration platform then links historical pressure, flow rate, temperature, and control commands for the same zone through a data association unit. This enables more accurate analysis of the unique patterns of each zone during subsequent data mining and model optimization, continuously improving the effectiveness of control strategies. Attached Figure Description

[0023] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0024] Figure 1 This is a system principle block diagram of the present invention. Detailed Implementation

[0025] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0026] Please see Figure 1 As shown, an intelligent water supply network monitoring and control system includes a monitoring module, a prediction and integration module, a water flow prediction module, a water quality switching module, a data transmission module, a data integration platform, and a control module. First, the monitoring module performs routine monitoring of the water supply network data, such as determining if there are leaks, water quality issues, or peak / valley water usage, thus initially controlling water usage. Then, based on relevant influencing parameters of the water usage area, the prediction and integration module assesses these parameters to determine if further adjustments to the leaking network are necessary. Simultaneously, the system uses these influencing parameters to determine the water flow status, which is then used by the water flow prediction module to adjust the data from the monitoring module. Furthermore, the water quality switching module is activated through user interaction. All the above data is then transmitted to the data integration platform via the data transmission module. Finally, the control module issues response commands to the integrated data, thereby controlling the water supply network.

[0027] Firstly, the monitoring module includes a leakage detection unit, a water quality detection unit, and a pipeline pressure analysis unit. The leakage detection unit acquires data based on the leakage status of the pipeline network, utilizing water pressure, water flow parameters, acoustic sensors, and intelligent valves to achieve preliminary data acquisition and command execution, forming the foundation of the system in this application. Next, the water quality detection unit uses a water quality monitor to periodically sample and analyze the water quality, obtaining its status and providing feedback to achieve relatively stable water quality parameters. Finally, the pipeline pressure analysis unit performs pressure analysis, allocating pipeline pressure to different areas based on water consumption to obtain a relatively stable pipeline pressure for each area, which is then recorded to obtain pipeline pressure parameters. Therefore, in this application, the monitoring module can acquire leakage detection status, water quality status, and pipeline pressure.

[0028] However, water use is dynamic and cannot be precisely regulated. Therefore, this application also includes a prediction and joint module, which combines the pipeline pressure parameters in the pipeline pressure analysis unit with the actual influence parameters to perform simulation and regulation.

[0029] Therefore, the prediction module includes a pipeline pressure parameter acquisition unit, a temperature prediction acquisition unit, a matching unit, and a correction unit. First, the pipeline pressure distribution map from the pipeline pressure parameter acquisition unit is obtained. Each different pressure region has corresponding water usage impact parameters. Then, the temperature prediction acquisition unit is used to obtain the relevant temperature status, i.e., the highest temperature of the day, recorded as T1. If T1 is a high temperature, the matching unit is used to analyze each pressure region. The specific analysis method is as follows: The matching unit first acquires the temperature T1, then determines the state of the pressure zone. If it is in a high-temperature area such as a farm, it determines whether the organisms need to be cooled by rinsing. Therefore, the high-temperature parameter T1 is sent to the water use impact parameter. Based on the high-temperature T1, it determines whether the pipeline pressure needs to be adjusted in this area, that is, whether the water consumption needs to be increased. So, for the aquaculture industry, once the temperature exceeds a certain threshold, the higher the temperature, the greater the water consumption required. If it is in an agricultural area, watering in high temperature and sunshine can cause crops to be sunburned. Therefore, the high-temperature parameter T1 is sent to the water use impact parameter of this area to determine whether the water consumption needs to be reduced when there is sunshine and whether the water consumption needs to be increased when there is no sunshine, thereby realizing intelligent control of pipeline pressure in different areas. Therefore, the correction unit is used to perform specific analysis on the data in the matching unit. First, for the farm, a danger threshold WY is set. When T1≧WY, the pressure of the pipeline needs to be increased GY=(T1-WY)×A+A, where A is the set threshold, which is used to realize the automatic control of the pipeline pressure. For the farm, there is no need for precise time control, only intelligent control of peak and valley water use time. Subsequently, for agricultural sites, the correction unit first needs to obtain the highest temperature T1 of the day when in use. Then, based on the rainfall time and temperature, it obtains the current dryness parameters to determine whether watering is needed. If watering is needed, the pipeline pressure in that area is adjusted between 5 pm and 8 pm. That is, the peak and off-peak water usage during normal times is continued, but the pipeline pressure is adjusted between 5 pm and 8 pm, that is, the pipeline pressure is increased according to the soil dryness parameters to ensure normal farming. Therefore, the correction unit is a unit that makes precise adaptive adjustments according to different areas.

[0030] As a further embodiment of this application, the water flow prediction module includes a temperature influence unit, a microflow detection unit, and a re-regulation unit. The temperature influence unit is used to record the changes in the pressure region at low temperatures, that is, the temperature influence unit is used to record the influence when the temperature is below 0. That is, when the temperature T2≤0, the freezing parameters of the water pipe are determined, that is, T2 is classified into levels, the current level of T2 is determined, and the method of water pipe treatment is determined, whether to automatically perform micro-regulation or to heat the pipe. That is, when the pipe temperature is detected to be close to the freezing point (which can be achieved by temperature sensor or combined with air temperature data), the system automatically performs micro-regulation: even if no water is used, the valve is remotely controlled to perform micro-flow discharge circulation or to start the pipe heating system to keep the water flowing and prevent freezing. The microflow detection unit is used to obtain water flow rate, that is, to determine whether the microflow rate has decreased and whether freezing has occurred. If so, the network pressure in that area is increased, and the re-regulation unit is activated. The re-regulation unit controls the network pressure in that area and controls the smart valve in that area. By opening the smart valve, high-pressure water is used for flushing, which determines whether there is any freezing in that area and resolves the possibility. After flushing for a certain period of time, the re-regulation unit adjusts the pressure in that area and regulates the smart valve to reduce the pressure and prevent the water pipes from freezing. Therefore, in this application, by coordinating the large network and the small smart valves in the area, the possibility of freezing is reduced, thereby ensuring normal water use at low temperatures.

[0031] Furthermore, the water quality switching module is used to switch water quality when there is a difference between the data detected by the water quality monitor and the data detected by the user, thereby reducing the impact of poor water quality.

[0032] Specifically, the water quality switching module includes a pipeline cleaning unit. Especially in the livestock industry, where large-scale farming often requires medication (vaccines, antibiotics) through drinking water, a dosing pump is installed at the output end of the smart valve. During use, the water flow rate and the frequency of the dosing pump are controlled; more medication is injected when the flow rate is high and less medication is injected when the flow rate is low, ensuring that the water consumed by each animal downstream is precisely and evenly mixed with the medication. This process fully realizes the use of special water. Subsequently, a water quality monitor is used to detect the water quality. The water quality data from the user end is uploaded to the system. By comparing the water quality data from the monitor with that from the user end, it is determined whether pipeline cleaning is necessary. If so, the pipeline cleaning unit applies a certain water pressure, allowing the high-pressure water to flow through the pipeline. The high-speed water flow performs a pulse flushing of the drinking water pipeline, and the flushed dirty water is automatically switched to the sewage pipe to prevent it from being discharged into the livestock drinking area.

[0033] In agricultural applications, the cleaning method of the aforementioned pipeline cleaning unit can also be used. By dynamically adjusting the water pressure in the area, the water pressure in the area can be dynamically adjusted to suit the user, and the distribution of pipeline pressure can ensure stability during large-scale water use.

[0034] Furthermore, the data transmission module employs a system data upload unit, a regional pressure matching unit, and a regional data upload unit. The system data upload unit directly uploads basic data from the pipeline network into the system, the regional pressure matching unit transmits basic data separately according to different regions, and the regional data upload unit is matched with the regional pressure matching unit. In other words, the transmitted data is transmitted and stored separately according to the pressure requirements of different regions, which facilitates accurate processing of the data later.

[0035] Furthermore, the data integration platform includes a data storage unit, a data display unit, and a data association unit. First, the aforementioned data is stored separately according to different pressure zones. This data can be retrieved and displayed at any time within the storage space. That is, the data display unit is used to realize the correlation display of the data, which may be associated with several parameters of the zone. Then, the data association unit is used to dynamically allocate the overall data in different pressure zones and maintain the dynamic adjustment of different usage times in different pressure zones.

[0036] As a further embodiment of this application, the control module includes an overall data acquisition unit, a data allocation unit, and a dynamic simulation unit. The overall data acquisition unit is used to acquire data from the data association unit, that is, to acquire the water flow and water pressure of each pressure zone in each time period. Then, the water flow and water pressure of each zone are compared with the maximum water flow and water pressure of the overall pipeline network to determine the proportion of the total water flow. If the sum is less than 1, the water flow can be directly allocated to each zone. If it is greater than 1, the water flow is reduced according to the proportion. The water consumption of each zone is reduced so that the output can be carried out with a similar water pressure ratio, thus ensuring the dynamic balance of water pressure in each zone.

[0037] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A monitoring and control system for an intelligent water supply network, characterized in that: It includes a prediction and coordination module, a water flow prediction module, and a water quality switching module. The prediction and coordination module is used to determine the pressure adjustment of each pressure zone when high temperature is predicted. The water flow prediction module is used to determine the pressure adjustment of each pressure zone when low temperature is predicted. The water quality switching module adjusts the water pressure of each pressure zone based on the degree of pipeline cleaning after water quality changes.

2. The intelligent water supply network monitoring and control system according to claim 1, characterized in that, The prediction and joint module includes a pipeline pressure parameter acquisition unit, a temperature prediction acquisition unit, a matching unit, and a correction unit. The pipeline pressure parameter acquisition unit is used to acquire the pressure distribution map of each pipeline. The temperature prediction acquisition unit acquires the current highest temperature T1. The matching unit acquires T1 and determines whether water pressure adjustment is needed. The correction unit adjusts the water pressure when adjustment is needed.

3. The intelligent water supply network monitoring and control system according to claim 2, characterized in that, When in use, the matching unit acquires the temperature T1 and then determines the state of the pressure area. If it is in a breeding farm with a high temperature, it determines whether the organisms need to be cooled by rinsing and whether the pipeline pressure needs to be adjusted in this area.

4. The intelligent water supply network monitoring and control system according to claim 3, characterized in that, When the correction unit is in use, a danger threshold WY is set. When T1≧WY, the pressure of the pipeline needs to be increased by GY=(T1-WY)×A+A, where A is the set threshold.

5. The intelligent water supply network monitoring and control system according to claim 2, characterized in that, When in use, the matching unit obtains the temperature T1. If it is located in an agricultural area, the correction unit obtains the irrigation time as 5 p.m. to 8 p.m. and pressurizes the water pressure in the pipeline network of the area where the agricultural area is located.

6. The intelligent water supply network monitoring and control system according to claim 1, characterized in that, The water flow prediction module includes a temperature influence unit, a microflow detection unit, and a re-regulation unit. The temperature influence unit is used to record the changes in pressure areas at low temperatures. The microflow detection unit is used to obtain the water flow rate, that is, to determine whether the flow rate of the microflow has decreased and whether there is freezing. If so, the network pressure in that area is increased, and the re-regulation unit is activated.

7. The intelligent water supply network monitoring and control system according to claim 6, characterized in that, When in use, the re-regulation unit controls the pipeline pressure in the area and the smart valve in the area. By opening the smart valve, high-pressure water is used for flushing to determine and resolve any possible freezing conditions in the area. After flushing, the re-regulation unit adjusts the pressure in the area and reduces the pressure by regulating the smart valve.

8. The intelligent water supply network monitoring and control system according to claim 1, characterized in that, The water quality switching module includes a pipeline cleaning unit. When in use, the pipeline cleaning unit uses a water quality monitor to detect water quality data. The water quality data from the user end is uploaded to the system. The water quality monitor and the user end water quality are compared to determine whether the pipeline needs to be cleaned. If so, the pipeline cleaning unit applies a certain water pressure to make high-pressure water flow through the pipeline, using high-speed water flow to perform pulse flushing on the drinking water pipeline, and automatically switches the flushed dirty water to the sewage pipeline.

9. The intelligent water supply network monitoring and control system according to claim 1, characterized in that, It also includes a data transmission module, a data integration platform, and a control module. The data transmission module is used to send data, the data integration platform is used to classify, integrate, and store the transmitted data, and the control module analyzes the data integrated by the data integration platform and issues control commands to achieve pipeline pressure control.

Images