Intelligent agents for water quality monitoring, flow monitoring, pressure monitoring, pressure regulation, ubiquitous sensing, and pipeline control with charging piles.

Abstract

A smart agent for pipeline network control, applied to water quality monitoring, flow monitoring, pressure monitoring, pressure regulation, ubiquitous sensing, and equipped with charging piles, includes a hardware smart agent, a software smart agent, and related application terminals. The software smart agent includes a pipeline network smart power generation module, a smart power supply module, a smart data acquisition and processing module, and a smart pipeline network application extension terminal. It is equipped with a hydroelectric generator to generate electricity and stores the electrical energy in a rechargeable battery pack, providing power to various devices on the pipeline network that require electricity, driving related equipment to complete corresponding actions, and providing sufficient and uninterrupted power for the operation of various sensors. It can effectively solve current industry pain points such as the lack of mains power in the pipeline network, the inability to truly realize the automation and intelligence of pipeline network equipment, and the low transmission efficiency of various sensors.

Description

Technical Field

[0001] This utility model relates to the field of water pipeline network control technology, and in particular to a pipeline network control intelligent agent applied to water quality monitoring, flow monitoring, pressure monitoring, pressure control, ubiquitous sensing, and equipped with charging piles. Background Technology

[0002] Against the backdrop of the country's vigorous promotion of smart city construction and the improvement of informatization level, traditional water affairs are gradually being replaced by smart water affairs.

[0003] The construction of a smart water management system requires the acquisition of massive amounts of data from the sensing layer to achieve analysis, prediction, and effective management of water resources. As business expands and management precision increases, the volume of data also increases dramatically, making data collection, transmission, and application particularly fundamental and crucial.

[0004] As the nervous system of smart water management, the sensing system provides the most basic data support for the intelligent, automated and efficient operation of the entire system.

[0005] Sensors, acting as the nerve endings of smart water management, are responsible for the collection and transmission of data on various water environments, and have been deployed extensively, covering a wide area. However, with this widespread use, several problems have emerged:

[0006] 1. Since most areas cannot provide power, the operation of sensors and data transmission almost entirely depend on electricity. Electromagnetic flow meters, pressure sensors and other devices deployed on the pipeline network rely on batteries for operation. The power supply has poor endurance and high cost, low transmission frequency and delay, making it impossible to achieve real-time transmission and obtain real-time data. The data application efficiency is low, and some important sensing devices such as water quality monitoring and analysis instruments cannot be deployed on the water supply pipeline network.

[0007] 2. The basic architecture of smart water management includes a perception layer, a data layer, and an application layer. After years of significant investment, it has achieved initial scale and results. However, it currently lacks an execution layer to dynamically, in real-time, and optimize the intelligent management and control of important indicators such as pipeline pressure, flow, and water quality. It's like having a well-developed brain and nervous system but lacking the hands to execute.

[0008] 3. Although significant investment has been made in the construction of the sensing layer, data utilization is insufficient. There are numerous types of sensing devices, and the data sources are diverse, with complex structures and varied formats. Furthermore, the frequency of generation varies, making it difficult to integrate sensor data from different manufacturers. The output data is not cleaned or processed, resulting in spurious and sporadic data, inconsistent data quality, and a lack of data processing and organization. Standardized and uniform steady-state data cannot be output, leading to incomplete and disconnected data, thus forming information silos. This places very high demands on the sensing system, requiring efficient and real-time data aggregation, analysis, and application.

[0009] Chinese patent document CN102828889A discloses a self-powered device and method for a heating network pressure data acquisition device. One end of the power generation pipeline is connected to the heating network supply water pipe through valve No. 1, and the other end is connected to the heating network return water pipe through valve No. 2. The generator impeller of a micro hydroelectric generator is placed inside the power generation pipeline, and the electrical signal output terminal of the micro hydroelectric generator is connected to the power signal input terminal of the pressure data acquisition device. This achieves self-powering for the heating network pressure data acquisition device. However, this solution only enables self-powering of the data acquisition device, offering limited reference value for smart water management.

[0010] Chinese patent document CN103616070A discloses a hydraulically self-powered water pipeline pressure measuring device. An impeller of a hydraulic generator is installed inside the pressure measuring pipeline. The generator's output is connected to a DC voltage regulator module, which is connected to a power distribution module. The power distribution module is connected to a pressure acquisition and transmission module and a data communication module. The DC voltage regulator module is also connected to a battery, and the data communication module is connected to an antenna. This invention allows the pipeline pressure measuring device to operate reliably for extended periods without external power supply, and it can be concealed for theft and vandalism prevention. While the communication module further enables data transmission, its reference value for smart water management is limited.

[0011] Chinese patent document CN103935368A discloses a design and implementation method for a self-generating low-power water meter. It is connected to an MSP430 microcontroller and uses water energy to generate electricity to power the circuit, solving the problem of digital display of water flow and uninterrupted power supply without the need for external or replacement power supply.

[0012] Chinese patent document CN109973704A discloses a valve and its control system, including a flow monitoring device and a pressure detection device, which ensures immediate power supply when electrical instruments or equipment on the valve require power.

[0013] Chinese patent document CN13607226A discloses a wireless remote transmission self-generated flow metering method, which sets a turbine generator in the fluid to be detected and converts the kinetic energy of the fluid into electrical energy output. A current metering device is used to collect the output current of the turbine generator in real time to obtain the current metering value, ensuring that the metering data is transmitted in real time and that the data is not lost.

[0014] Chinese patent document CN116718239A discloses a hydroelectric remote valve-controlled water meter, which includes a water meter body, a hydroelectric power generation component, a valve control component, and a data acquisition component installed in the water meter body. After water enters the water meter body, it generates electrical energy through the hydroelectric power generation component to power the data acquisition component and the valve control component.

[0015] Chinese patent document CN212670713U discloses a pipeline pressure detection device that can be remotely controlled and automatically powered, including a water supply pipeline and a pressure sensor. The pressure sensor is installed inside the water supply pipeline. It also includes a hydroelectric generator and a battery. The generator generates electricity through the branch water flow of the water supply pipeline, and the electrical energy supplies the data processing system to automatically collect and send pressure monitoring data to the remote control system.

[0016] Chinese patent document CN220365674U discloses a device for generating electricity using water in a water supply pipeline, including a water supply pipeline and a power generation mechanism installed inside the water supply pipeline.

[0017] Chinese patent document CN220671411U discloses an automated data acquisition device for hydropower generation, in which a transmission line is inserted inside the inner sleeve, with one end connected to a water quality sensor.

[0018] However, the existing self-powered devices have relatively simple structures and cannot collaboratively form real-time control of smart water pipe networks. Accurate, dense, and real-time data is the most fundamental underlying architecture of smart water management. The key to solving the problem lies in building a pipe network control "intelligent agent" to perceive the water status in real time, collect and analyze water information, and control the pipe network status in real time.

[0019] An intelligent agent is an intelligent entity that can autonomously perceive its environment, make decisions, and execute actions to achieve specific goals. Based on artificial intelligence, sensor technology, and actuator technology, intelligent agents, both software and hardware, are used to enable them to interact with their environment, learn continuously, and make autonomous decisions. Utility Model Content

[0020] In view of the technical problems existing in the prior art, this utility model aims to propose a pipeline network control intelligent agent, which can effectively solve the current industry pain points such as pipeline network without mains power, pipeline network equipment cannot be truly automated and intelligent, and various sensors have low transmission efficiency.

[0021] More specifically, according to one aspect of this utility model, a pipeline network control intelligent agent is provided, including a hardware intelligent agent, a software intelligent agent, and related application terminals; the software intelligent agent includes a pipeline network intelligent power generation module, an intelligent power supply module, an intelligent data acquisition and processing module, and an intelligent pipeline network application expansion terminal; the hardware intelligent agent includes at least one gate valve body, utilizing the kinetic energy and residual pressure generated when fluid flows in the pipeline network, using at least one of the gate valve, butterfly valve, expansion joint, and filter as a carrier to assemble a hydroelectric generator to generate electricity, and storing the electrical energy in a rechargeable battery pack, providing power to various devices on the pipeline network that require electrical energy, driving related equipment to complete corresponding actions, and providing sufficient and uninterrupted power for the operation of various sensors. The start and stop of the hydroelectric generator is controlled by a solenoid valve at the generator inlet. When the battery pack needs charging, the solenoid valve is opened, and the water flow drives the generator to start generating electricity; conversely, when the battery pack does not need charging, the solenoid valve is closed, and the generator stops working.

[0022] Meanwhile, according to another aspect of this utility model, a pipeline network control intelligent agent is proposed. This agent is equipped with an intelligent power generation and supply control system, collects various data from relevant sensors and power-requiring equipment, and, based on applications, integrates AI and algorithms to further process and analyze the data, generating conclusion reports. It provides real-time, uninterrupted data services and outputs standardized and comprehensive steady-state data. This provides comprehensive data support for users' scheduling operations under different operating conditions.

[0023] Furthermore, the intelligent pipeline control system proposed in this utility model, in addition to assembling a hydraulic generator on carriers such as gate valves, butterfly valves, expansion joints, and filters, can also be expanded with various assembly interfaces for assembling various sensing devices such as pressure, flow, water quality, liquid level, temperature, humidity, displacement, equipment status, and air release valves, as well as other equipment required by the pipeline network. It integrates intelligence, integration, standardization, and green technology, is easy to install, convenient to maintain and repair, and improves the digitalization and intelligence of the pipeline network, serving the core management goals of water companies to reduce costs, increase efficiency, and ensure safety.

[0024] According to another aspect of the present invention, the intelligent agent for pipeline network control proposed by the present invention consists of a hardware intelligent agent, a software intelligent agent, and related application terminals.

[0025] 1. The hardware intelligent entity is equipped with a hydraulic generator on the gate valve body. It can also be installed on interchangeable carriers in the pipeline network, such as butterfly valves, ball valves, expansion joints, and filters, depending on the actual scenario. The generator's start and stop are controlled by the generator inlet solenoid valve. When the battery pack needs charging, the solenoid valve opens, and the water flow drives the generator to start generating electricity. Conversely, when the battery pack does not need charging, the solenoid valve closes, and the generator stops working. Expansion ports can be installed to assemble pressure gauges, pressure transmitters, water quality instruments, water supply pipes, water supply pipe switching solenoid valves, and other expansion ports as needed. All piping on the valve body is detachable and interchangeable, ensuring convenient and safe maintenance and use.

[0026] 2. The software intelligent agent consists of a power storage distributor, a data acquisition processor, and a pipeline application extension terminal.

[0027] The power storage distributor consists of a battery pack, a battery charge and discharge monitoring and management system, and a power input and output control system.

[0028] The data acquisition processor consists of data acquisition, data storage, data processing, data analysis and application, data transmission, data monitoring and maintenance, and software and hardware control systems, becoming a pipeline network information integration tool and a software and hardware control hub.

[0029] As the demand for other ubiquitous sensing applications increases, the pipeline application expansion terminal can expand data acquisition interfaces and control interfaces to enhance the depth and accuracy of the data required for pipeline regulation. Its function is the same as that of the data acquisition processor.

[0030] The application of intelligent agents for pipeline network control first satisfies core and high-frequency applications, and secondly, it satisfies other ubiquitous sensing applications, constructing multidimensional datasets. In the smart water pipeline network system, water quality, flow rate, and water pressure are both core and high-frequency applications. Temperature, liquid level, ambient temperature and humidity, displacement, hydrophones, intelligent fire hydrants, intelligent manhole covers, equipment status, and pipeline residual pressure recovery power generation constitute the ubiquitous sensing system and extended applications of the pipeline network.

[0031] According to this utility model, a power generation device is assembled using a standard valve as a carrier, eliminating the need for pipe cutting; only valve installation or replacement is required. The impeller of the power generation device is not affected by foreign objects in the pipeline network. In extreme cases, even if the moving parts inside the generator are damaged or detached, it will not cause secondary pollution or other adverse effects on the pipeline network. The power generation device and expansion ports are detachable, interchangeable, and universal, allowing for online replacement and maintenance without interrupting water supply.

[0032] It features separate connections with flow meters, water quality meters, pressure regulators, and other sensors, preventing turbulence and cavitation and ensuring the accuracy of monitoring by various instruments. It boasts wide adaptability and flexible installation. A centralized system provides a stable power supply for various sensing devices, eliminating the need for separate battery packs. Information acquisition, storage, and transmission are integrated across all sensors, further reducing the need for separate storage and transmission functions in the connected devices. This significantly reduces the cost of sensing equipment, alleviates the cost pressures of large-scale deployment, addresses the challenges of power supply in difficult-to-maintain and remote environments, and breaks down barriers to data and communication standards between different devices.

[0033] By fully utilizing the collected high-frequency data, pain points and core issues can be quickly and directly resolved. For example, by using flow and pressure data combined with AI algorithms, the system can determine in real time whether there are leaks in the pipeline network and calculate the amount of leakage. Simultaneously, pressure control measures can be used to minimize leakage. This creates an effective closed loop between data collection, analysis, processing, transmission, and application, maintaining the orderly and efficient water supply of the pipeline network. It comprehensively addresses the pain points and technical obstacles encountered in the intelligent and smart development of pipeline networks. Based on this foundation, more in-depth and detailed solutions can be developed according to actual application needs. Attached Figure Description

[0034] Figure 1 This is a schematic diagram illustrating the structure of a pipeline control intelligent agent (applied to water quality instrument pipeline network deployment and monitoring) according to one embodiment 1 of this utility model.

[0035] Figure 2 This is a schematic diagram illustrating the structure of a pipeline control intelligent agent (applied to flow meter pipeline network deployment and data application) according to one embodiment 2 of this utility model.

[0036] Figure 3 This is a schematic diagram illustrating the structure of a pipeline control intelligent agent (applied to pipeline pressure control and data application) according to one embodiment 3 of this utility model.

[0037] Figure 4 This is a schematic diagram illustrating the structure of a pipeline control intelligent agent (applied to high-end water supply pressurization and regional pressure balance) according to one embodiment 4 of this utility model.

[0038] Figure 5 This is a schematic diagram illustrating the structure of a pipeline control intelligent agent (applied to ubiquitous pipeline sensing applications) according to one embodiment 5 of this utility model.

[0039] Figure 6 This is a schematic diagram illustrating the structure of a pipeline control intelligent body (pipeline hydropower generation with charging pile application) according to one embodiment 6 of this utility model.

[0040] Figure 7 This is a schematic diagram of the overall structure of a pipeline control intelligent body according to embodiments 1-6 of this utility model.

[0041] Figure 8 This is a schematic diagram illustrating the overall structure of a pipeline control intelligent agent according to embodiments 1-6 of this utility model.

[0042] Figure Labels: A - Power supply port for water quality instrument; B - Power supply port for flow meter; C - Power supply port for pressure regulating valve actuator; D - Power supply port for pressure transmitter at the valve's rear end; E - Power supply port for pressure transmitter at the valve's front end; F - Power supply port for generator solenoid valve; G - Power supply port for water quality instrument water supply solenoid valve; H - Power supply port for pipeline temperature sensor; I - Power supply port for charging pile; J - Power supply port for smart manhole cover; K - Power supply port for smart fire hydrant; L - Power supply port for liquid level sensor; M - Power supply port for ambient temperature and humidity sensor; Z - Power supply port for generator to power storage distributor; S - Water supply port for water quality instrument; 1 - Data output and acquisition port for water quality instrument; 2 - Data output and acquisition port for flow meter; 3 - Output and acquisition port for pressure sensor at the valve's rear end; 4 - Pressure signal output and acquisition port for high-remote water supply booster equipment; 5 - Output and acquisition port for pressure sensor at the valve's front end; 6 - Data output and acquisition port for pipeline temperature sensor; 7 - Charging pile 8-Smart manhole cover data output and acquisition port; 9-Smart fire hydrant data output and acquisition port; 10-Liquid level sensor data output and acquisition port; 11-Ambient temperature and humidity sensor data output and acquisition port; 100A-Gate valve assembly generator side; 100B-Gate valve assembly expansion assembly port side; 110-Power storage distributor; 120-Data acquisition processor; 130-Pipeline application expansion end; 140-Hydraulic generator unit; 150-Generator solenoid valve; 160-Water quality instrument; 170-Water quality instrument water supply solenoid valve; 180-Flow meter; 190-Electric pressure regulating valve; 200-Valve rear end pressure sensor; 210-Valve front end pressure sensor; 220-High-distance water supply booster equipment; 230-Pipeline temperature sensor; 240-Ambient temperature and humidity sensor; 250-Liquid level sensor; 260-Smart fire hydrant; 270-Smart manhole cover; 280-Charging pile. Detailed Implementation

[0043] The intelligent agent for pipeline control of this utility model will now be described in detail with reference to the accompanying drawings and specific embodiments. Those skilled in the art will understand that this description is exemplary and that this utility model is not limited to these specific embodiments.

[0044] It should be noted that the connections between ports in this article obviously need to be made via pipes, such as the following: Figure 1-8For simplicity and clarity, the connection lines between ports are labeled with reference numeral 1 in the attached diagram. Those skilled in the art should immediately understand that the connection between the two ends of the flowmeter power supply port 1 is an electrical conduit; the connection line between the ports is labeled with reference numeral A in the attached diagram. Those skilled in the art should immediately understand that the connection between the two ends of the flowmeter signal acquisition port A is a data conduit, and so on. Similarly, the conduit connecting the water body to the water quality instrument is a tap water conduit.

[0045] First, refer to Figure 7 , 8 The present invention provides a decomposed description of the intelligent agent for pipeline network control.

[0046] The intelligent pipeline control system of this utility model generally comprises two major components: a hardware intelligent system and a software intelligent system. The software intelligent system includes, but is not limited to, a pipeline intelligent controller and its input / output ports. By issuing or receiving commands to the pipeline intelligent controller, it controls the actions of corresponding pipelines, enabling the corresponding input / output ports to perform on / off or regulation functions. The pipeline intelligent controller includes, but is not limited to, a power storage distributor 110, a data acquisition processor 120, and a pipeline application expansion terminal 130. The hardware intelligent system includes, but is not limited to, a gate valve body 100 (shown in the figure as 100A on the generator side and 100B on the expansion port side), an electric pressure regulating valve 190, a flow meter 180, etc. The power storage distributor 110 supplies power to each hardware intelligent entity through the following ports: water quality meter power supply port A, flow meter power supply port B, pressure regulating valve actuator power supply port C, valve rear-end pressure transmitter power supply port D, valve front-end pressure transmitter power supply port E, generator solenoid valve power supply port F, water quality meter water supply solenoid valve power supply port G, pipeline temperature sensor power supply port H, charging pile power supply port I, smart manhole cover power supply port J, smart fire hydrant power supply port K, liquid level sensor power supply port L, ambient temperature and humidity sensor power supply port M, and generator to power storage distributor power supply port Z. The power supply to each hardware intelligent entity is supplied through the water quality meter power supply port Z. The system includes: water port S, water quality instrument data output, acquisition port 1, flow meter data output, acquisition port 2, valve rear-end pressure sensor output, acquisition port 3, high-end water supply booster equipment pressure signal output, acquisition port 4, valve front-end pressure sensor output, acquisition port 5, pipeline temperature sensor data output, acquisition port 6, charging pile data output, acquisition port 7, smart manhole cover data output, acquisition port 8, smart fire hydrant data output, acquisition port 9, liquid level sensor data output, acquisition port 10, ambient temperature and humidity sensor data output, and acquisition port 11. It collects data signals from each hardware intelligent entity. It should be noted that the connection between them is not simply an "and" relationship; all the above components will only be used when all are needed (e.g., ...). Figure 8 ), and even a few components may use two or more (such as Figure 1-6 The specific components, including both hardware and software, work together to achieve the various functions of this utility model's intelligent pipeline control system.

[0047] Implementation Method 1

[0048] Figure 1 This is a schematic diagram illustrating the structure of a pipeline control intelligent agent applied to water quality monitoring in Implementation Method 1.

[0049] It should be noted that currently, most real-time online water quality monitoring instruments operate in water plants, pumping stations, and secondary water supply pumping stations. The operation of water quality monitoring instruments requires sufficient and stable power and water supply in the pipeline network. Due to limitations, very few water quality monitoring instruments are installed on water supply pipelines. According to this utility model, the pipeline control intelligent body can fully meet the installation and working conditions of water quality monitoring instruments, making the deployment of water quality monitoring instruments on pipelines a reality.

[0050] like Figure 1 As shown, by incorporating a water quality meter 160 into the intelligent pipeline control system of this invention, online water quality monitoring can be achieved. The intelligent pipeline control system includes a power storage distributor 110 and a data acquisition processor 120. The power storage distributor 110 supplies power to the water quality meter 160 via the water quality meter power supply port A, supplies power to the generator solenoid valve 150 via the generator solenoid valve power supply port F on the gate valve assembly generator side 100A, and supplies power to the water quality meter water supply solenoid valve 170 via the water quality meter water supply solenoid valve power supply port G on the gate valve assembly expansion port side 100B. The hydroelectric generator device 140 supplies power to the power storage distributor 110 via the generator to power storage distributor power supply port Z, and supplies power to the power storage distributor 160 via the gate valve assembly expansion port side 100B. The assembly port on the assembly port side 100B connects to the water supply port S of the water quality meter 160 to supply water to the water quality meter 160. The data acquisition processor 120 collects data from the water quality meter 160 through the water quality meter data output and the acquisition port 1. When the water quality meter 160 needs water supply, the water supply solenoid valve 170 on the assembly port side 100B receives the signal from the data acquisition processor 120 and opens. When the water quality meter 160 finishes working, the water supply solenoid valve 170 receives the signal and closes. The water quality meter 160's own data can be transmitted independently through its own data transmission system, or it can be collected by the intelligent agent and transmitted in parallel with other data. In this case, the water quality meter 160 does not need to set up a separate data transmission system, and the intelligent agent completes the task.

[0051] Implementation Method 2

[0052] A large number of flow meters have been deployed in the construction of smart water services, reaching more than 70% in first- and second-tier cities. The data of flow meters accounts for a relatively high proportion in the water service big data platform. Flow meters are not only data collectors for smart water services, but also the core engines for water conservation, efficiency improvement, safety control, and sustainable development. They are one of the most frequent and core applications in pipe network applications. For the flow meters deployed on the pipe network, whether they use large-capacity batteries or low-power designs, due to the lack of mains power and continuous power endurance, they cannot achieve high-frequency transmission, resulting in delayed and lagged flow data. The application efficiency of the data platform and hydraulic model for flow data is not high. Many existing flow meters lack Internet of Things interfaces and have poor protocol compatibility.

[0053] Figure 2 It is a schematic structural diagram of a pipe network control intelligent agent applied to flow monitoring in Embodiment 2.

[0054] As Figure 2 shown, the pipe network control intelligent agent is equipped with a flow meter 180. Similar to Embodiment 1, the hydraulic generator device 140 supplies power to the power storage and distribution device 110 through the power supply port Z from the generator to the power storage and distribution device. The power storage and distribution device 110 provides stable and continuous power to the flow meter 180 through the flow meter power supply port B, and the flow data transmission can reach the minute level. The data acquisition processor 120 collects and outputs the data of the flow meter 180 through the flow meter data output and acquisition port 2. The power storage and distribution device 110 supplies power to the generator solenoid valve 150 through the generator solenoid valve power supply port F of the gate valve assembly on the generator side 100A. The power generation and power supply system supporting the power storage and distribution device 110 is separately matched with the flow meter 180. The flow data can be transmitted separately by the flow meter 180 and is matched with the software intelligent agent. The data is collected by the software intelligent agent, and flow anomalies are prompted, alarmed, and measures are taken, such as transmitting signals to a pressure reducing valve (not shown) to make corresponding reactions, making a flow curve according to actual requirements, judging whether the flow is normal or abnormal, and issuing a corresponding analysis report. After multi-source data integration and further processing, it is transmitted in parallel with other data as needed, especially for fusion analysis with pressure data, combined with intelligent algorithms and model prediction, to achieve precise control of the pipe network operation status, leakage location, burst pipe warning, and energy consumption optimization.

[0055] Embodiment 3

[0056] Figure 3 It is a schematic structural diagram of a pipe network control intelligent agent applied to pressure control in Embodiment 3.

[0057] The collection of pressure data and pressure control play a core role in the smart water service system and are the key links to achieve the safe and efficient operation of the water supply system. Its functions are mainly reflected in the following aspects:

[0058] Infrastructure safety monitoring: Real-time monitoring of water supply network pressure fluctuations. Excessive or fluctuating water pressure can accelerate pipe aging, cause pipe bursts, threaten public safety, and lead to water waste. Pressure threshold alarms are set in aging pipe network areas, and valve shut-off devices are linked to quickly respond to abnormal pressure.

[0059] Key indicators for leakage control: Through precise pressure control, pipeline stress can be reduced, leakage rate can be decreased, leak points can be located through pressure gradient analysis, and the optimal minimum flow rate at night can be dynamically adjusted, that is, the pressure can be adjusted to the minimum flow rate while meeting the customer's water demand.

[0060] Energy saving and consumption reduction: Traditional constant pressure water supply mode has high energy consumption, while intelligent pressure regulation can be adjusted according to actual needs, reducing ineffective energy consumption.

[0061] Water demand forecasting is based on: combining historical pressure data with time series analysis to establish a regional water demand forecasting model, and using regression analysis of pressure change rate and flow data to improve the accuracy of water demand forecasting.

[0062] In the construction of smart water management, pressure data will be deeply integrated into digital twin systems. Through coupling with AI predictive models, a shift from passive response to proactive prevention will be achieved. The pressure management system will evolve into an intelligent agent with autonomous decision-making capabilities, continuously optimizing the resilience and sustainability of the urban water supply system.

[0063] like Figure 3 As shown, the intelligent pipeline control system proposed in this utility model is equipped with an electric pressure regulating valve 190, which can realize real-time dynamic pressure control of the pipeline network. Similar to Embodiment 1, the hydroelectric generator device 140 supplies power to the power storage and distribution unit 110 through the generator to the power storage and distribution unit power supply port Z. The power storage and distribution unit 110 supplies power to the electric actuator (not shown), the downstream pressure sensor 200 of the electric pressure regulating valve 190, and the upstream pressure sensor 210 installed on the 100B side of the electric pressure regulating valve 190 via the pressure regulating valve actuator power supply port C, the downstream pressure transmitter power supply port D, and the upstream pressure transmitter power supply port E of the valve. The use of the electric pressure regulating valve 190 eliminates the need for manual intervention and can achieve time-sharing control, real-time control, remote control, and stepless pressure regulation, realizing the automation and intelligence of pressure control.

[0064] The data acquisition processor 120 outputs signals from the pressure sensor at the front end of the valve and acquires signals from the pressure sensor 210 at the front end of the valve via acquisition port 5. It also outputs signals from the pressure sensor at the rear end of the valve and acquires signals from the pressure sensor 200 at acquisition port 3. Based on the set target pressure, it controls the electric pressure regulating valve 190 to dynamically regulate the pipeline pressure. It also accumulates data by combining flow data, automatically learns data characteristics, optimizes the optimal pressure for different seasons and time periods, and completes automatic regulation. It should be noted that the machine learning and optimization-related features and methods of this utility model will be proposed in another patent of the applicant. Since it is not the utility model's inventive point, it is not described in detail here. In fact, ordinary machine learning or reinforcement learning methods can also be used to complete the optimization action.

[0065] When the pressure control deployment is relatively complete, the accurate pressure demand feedback in each region makes the outgoing pressure more reasonable. For suspected or existing leaks, the pipeline pressure is gradually reduced from high pressure to low pressure by controlling the electric pressure regulating valve. Based on the pressure and flow changes combined with statistical probability analysis and collaborative cross-control analysis, the presence and quantity of leaks are determined, and pressure and flow management red lines are set. When the monitoring indicators approach the management red lines, timely warnings are issued and measures are taken quickly, such as pressurizing, depressurizing, and closing valves, to prevent pipe bursts, leaks, and untimely water supply.

[0066] Implementation Method 4

[0067] Real-time dynamic pressure control of the pipeline network is the most effective, direct, and cost-efficient method for leakage control. Pipeline network leakage control is a continuous process. As long as water flows in the pipeline, there is a possibility of leakage. Leakage control is the process of minimizing the difference between production and sales volume. The reduction of the difference between production and sales volume includes reducing pipeline network leakage and reducing the water supply managed by water plants and pumping stations.

[0068] The most unfavorable point in the water supply network is one of the core challenges in achieving the required pressure across the entire water supply system. To meet the water supply demand at this most unfavorable point, the upstream end often operates under high pressure, making it difficult to control network leakage, resulting in high energy consumption, and long-term high-pressure operation poses a significant threat to network safety. Increasing the pressure at the most unfavorable point not only ensures the water pressure at this point but also effectively reduces the average pressure of the water leaving the treatment plant.

[0069] Figure 4 This is a schematic diagram illustrating the structure of a pipeline control intelligent agent applied to pressure regulation in embodiment 4.

[0070] The intelligent agent is equipped with an electric pressure regulating valve 190 and a high-end water supply booster device 220 to solve the problem of high-end pressure balance in the region. Similar to embodiments 1-3 above, the hydroelectric generator device 140 supplies power to the power storage and distribution unit 110 through the generator to the power storage and distribution unit power supply port Z. Through the pressure regulating valve actuator power supply port C and the valve rear-end pressure transmitter power supply port D, the power storage and distribution unit 110 supplies power to the downstream pressure sensor 200 of the electric pressure regulating valve 190, the upstream pressure sensor 210 on the gate valve 100B side, and the electric actuator (not shown) of the electric pressure regulating valve 190.

[0071] The data acquisition processor 120 acquires pressure signals from the downstream pressure sensor 200, the upstream pressure sensor 210, and the water supply booster device 220 via the output of the downstream pressure sensor 200, the upstream pressure sensor 210, the upstream pressure sensor 210, the upstream pressure sensor 210, and the upstream pressure booster device 220, respectively. When the water supply pressure at the most unfavorable point is insufficient, the pressure sensor at the most unfavorable point transmits a signal to the data acquisition processor 120, controlling the pressure regulating valve 190 to increase its opening and begin pressurization. Based on the distance of pressure transmission in the pipeline network, a delay is applied to ensure sufficient pressure and flow in the pipeline network to support the operation of the water supply booster device 220, preventing negative pressure in the pipeline network caused by the operation of the water supply booster device 220. When the water pressure at the most unfavorable point is sufficient, the pressure sensor transmits a pressure signal to the data acquisition processor 120, controlling the pressure regulating valve 190 to reduce the regional pressure to a reasonable range, achieving regional pressure balance.

[0072] It should be noted that, in this embodiment, although the data acquisition processor 120 acquires pressure signals from the downstream pressure sensor 200, the upstream pressure sensor 210, and the water supply booster device 220 respectively through the downstream pressure sensor output, acquisition port 3, the upstream pressure sensor output, acquisition port 5, and the high-end water supply booster device pressure signal output, acquisition port 4, and the figures all show wired communication for signal transmission, in reality, it can also use short-range wireless transmission or long-range wireless transmission. For example, for the water supply booster device 220, wireless WIFI can also be used to transmit signals from the data acquisition processor 120.

[0073] Implementation Method 5

[0074] To meet the depth and precision requirements of pipeline network regulation, in addition to core and high-frequency applications such as water quality, water quantity, and pressure, more ubiquitous sensing is needed, such as pipeline temperature, ambient temperature and humidity, liquid level, and equipment status, to form multi-dimensional data, as well as extended applications such as smart manhole covers and smart fire hydrants to support it.

[0075] Figure 5This is a schematic diagram illustrating the structure of a network control agent applied to ubiquitous sensing in Implementation Method 5.

[0076] The intelligent pipeline control system can be equipped with a pipeline temperature sensor 230. Similar to embodiments 1-4, the hydroelectric generator 140 supplies power to the power storage and distribution unit 110 via the generator-to-power-storage-distribution-unit power supply port Z. The power storage and distribution unit 110 supplies power to the generator solenoid valve 150 via the generator solenoid valve power supply port F on the generator side 100A of the gate valve assembly. The power storage and distribution unit 110 supplies power to the pipeline temperature sensor 230 via H. The data acquisition processor 120 acquires the signal from the pipeline temperature sensor 230 via the pipeline temperature sensor data output and acquisition port 6, processes it, and transmits it in parallel with other data. In this embodiment, the main functions of acquiring water supply network temperature data include the following aspects:

[0077] (1) Ensuring microbial safety

[0078] Water temperature directly affects the activity of microorganisms in the water. For example:

[0079] Inhibit bacterial growth: High temperatures (such as 25-50℃) may accelerate the growth of pathogenic bacteria such as Legionella and Escherichia coli. Disinfection measures can be adjusted in a timely manner by monitoring water temperature in real time (such as increasing the amount of residual chlorine added).

[0080] Controlling algae growth: Increased water temperature promotes algae reproduction and affects water clarity. Monitoring data can guide the optimization of water treatment processes.

[0081] (2) Optimize water treatment process

[0082] Adjusting coagulation and filtration parameters: Changes in water temperature affect the viscosity and dissolved oxygen content of water, which in turn affect the coagulant effect and filtration efficiency, so process parameters need to be dynamically adjusted.

[0083] Disinfectant efficacy management: The disinfection effect of residual chlorine varies at different temperatures. Monitoring water temperature can ensure that the residual amount of disinfectant meets national standards (e.g., residual chlorine at the end of the pipe network ≥ 0.05 mg / L).

[0084] (3) Preventing risks to pipeline equipment

[0085] Preventing scaling and corrosion: High temperatures accelerate mineral deposition (such as calcium carbonate scaling), while low temperatures may cause metal pipes to freeze and crack. Water temperature data can guide the selection of pipe materials and maintenance cycles.

[0086] Reduce thermal stress damage: Excessive temperature difference can cause uneven thermal expansion and contraction of pipelines. Real-time monitoring can provide early warning of abnormal temperature fluctuations and reduce the risk of pipe bursts.

[0087] (4) Improve the quality of user service

[0088] Ensuring comfortable water use: Monitoring water temperature can optimize the control parameters of secondary water supply equipment;

[0089] Preventing extreme hazards: Low temperatures in winter may cause pipes to freeze, and high temperatures in summer may cause burns. Early warning systems can intervene in advance.

[0090] (5) Support compliance and emergency management

[0091] Meets hygiene standards: National standards (such as the "Standards for Drinking Water Quality" GB5749-2006) have clear requirements for parameters such as residual chlorine and turbidity, and water temperature monitoring is an important part of water quality compliance.

[0092] Accident retrospective analysis: Historical water temperature data can be used to trace the causes of pipeline network failures (such as sudden changes in water temperature during water outages revealing insufficient redundancy).

[0093] The intelligent pipeline control system can be equipped with an environmental temperature and humidity sensor 240, powered by a power storage distributor 110 through the sensor's power supply port M. The environmental temperature and humidity sensor 240, via its data output and acquisition port 11, is mounted on the expansion port of the pipeline application expansion terminal 130 of the intelligent hardware system. In the valve wells (not shown) of the tap water supply network, temperature and humidity data acquisition serves the following purposes:

[0094] (1) Ensure the safe operation of pipeline equipment

[0095] Preventing pipe freezing and cracking: Low winter temperatures (such as near freezing point) may cause pipes to freeze and expand. Real-time monitoring of the temperature inside the well can provide early warnings and allow for the implementation of insulation or unblocking measures to prevent pipe damage.

[0096] Inhibiting microbial growth: High temperature or humid environment can accelerate the reproduction of bacteria and algae. Temperature and humidity data can guide disinfection and ventilation strategies and reduce the risk of water pollution.

[0097] Reduce equipment corrosion: Abnormally high humidity may indicate leaks or condensation inside pipes. Combining this with temperature data can help pinpoint the problem area and reduce corrosion of metal components.

[0098] Optimize pipeline network operation and maintenance efficiency.

[0099] (2) Accurately locate the leakage point

[0100] Abnormal temperature and humidity inside the well (such as a sudden drop in local temperature) may indicate a pipe rupture or leakage. Combining sensor data can quickly locate the fault point and shorten the repair time.

[0101] Dynamic valve control: Based on changes in well temperature (such as pipeline expansion caused by high summer temperatures), the valve opening or pump station pressure is remotely adjusted to balance pipeline pressure fluctuations.

[0102] (3) Improve water quality management capabilities

[0103] Controlling disinfectant efficacy: Water temperature affects the disinfection effect of residual chlorine. Well temperature data can help adjust the amount of disinfectant added to ensure that the residual chlorine at the end of the pipeline network meets the standard (e.g., ≥0.05 mg / L).

[0104] Preventing algae growth: High temperature and high humidity environments easily lead to algae reproduction. Temperature and humidity monitoring can guide regular pipe cleaning and optimization of water treatment processes.

[0105] (4) Support energy conservation and cost control

[0106] Reduce energy consumption: Optimize pump station operation by using well temperature data (e.g., reduce heating demand in winter) to reduce energy waste;

[0107] Extend equipment life: Avoid the accelerated aging of valves and pipelines caused by extreme temperature and humidity, and reduce maintenance and replacement costs.

[0108] (5) Emergency Response and Compliance Management

[0109] Warning of extreme weather risks: When the temperature inside the well drops suddenly or the humidity exceeds the standard, the system can automatically trigger an alarm and activate emergency plans (such as pipeline insulation or drainage).

[0110] Meeting regulatory requirements: Temperature and humidity data are important evidence for water quality compliance audits (such as the "Standards for Drinking Water Quality" GB5749-2006), ensuring that water supply safety meets standards;

[0111] Valve well temperature and humidity monitoring is a key component of intelligent management of water supply networks, which can improve safety, reliability and economy, while providing data support for water quality protection and emergency response.

[0112] The intelligent pipeline control system can be equipped with a liquid level sensor 250, powered by a power storage distributor 110 through the liquid level sensor's power supply port L. A data acquisition processor 120 collects liquid level signals through the liquid level sensor's data output and acquisition port 10, processes the data, and transmits it in parallel with other data. In the valve wells (not shown) of the tap water supply network, liquid level data acquisition has the following functions:

[0113] (1) Real-time monitoring of pipeline network operation status

[0114] Dynamically monitor water level changes: Real-time water level data in valve wells is collected through a 250 liquid level sensor. During the rainy season, or in cases of continuous heavy rain or snowmelt, water may accumulate in the valve wells.

[0115] Preventing abnormal situations: A sudden rise or fall in the liquid level may indicate a pipe rupture or valve failure. Timely warnings can reduce water waste and the risk of water supply interruption.

[0116] (2) Improve fault diagnosis and emergency response

[0117] Quickly locate leaks: Abnormal liquid levels (such as a local drop in water level) can help locate the location of pipeline leaks and shorten repair time.

[0118] Automatic alarm triggering: When the liquid level exceeds the preset range, the system will automatically alarm and notify the operation and maintenance personnel. It supports remote control of valve closure to prevent the accident from escalating.

[0119] (3) Reduce operation and maintenance costs

[0120] Reduce the frequency of manual inspections: Automatic liquid level data collection and remote monitoring replace traditional manual inspections, reducing labor costs while improving the frequency and accuracy of data collection.

[0121] Preventative maintenance: By analyzing liquid level data, we can identify the risk of pipeline aging or leakage, and proactively maintain or replace equipment to extend its service life.

[0122] The intelligent agent can be equipped with an intelligent manhole cover 270. The intelligent manhole cover 270 is powered by a power storage distributor 110 through the intelligent manhole cover power supply port J. The data acquisition processor 120 collects signals from the intelligent manhole cover through the output and acquisition port 8, processes the signals, and transmits them in parallel with other data. In a tap water supply network, the intelligent manhole cover functions as follows:

[0123] (1) Intelligent anti-theft and security protection

[0124] Anti-theft alarm: Integrated with GPS / BeiDou positioning and anti-tampering device, it will immediately alarm and lock the location when the object is moved illegally;

[0125] Fall protection design: Some manhole covers are equipped with a double-layer structure or safety net to prevent pedestrians from falling.

[0126] (2) Real-time monitoring and early warning

[0127] Liquid level monitoring: Real-time collection of water level data in the well via ultrasonic or pressure sensors (not shown) to prevent pipeline leaks, flooding, or overflows;

[0128] Environmental monitoring: Detect parameters such as water temperature and gas concentration (e.g., methane, hydrogen sulfide) in the well to provide early warning of the accumulation of harmful gases or water pollution;

[0129] Status monitoring: The tilt sensor (not shown) and vibration sensor (not shown) are used to monitor whether the manhole cover is abnormally opened, displaced or tilted to prevent theft or damage.

[0130] (3) Emergency response and collaborative management

[0131] Automatic linkage: After abnormal data triggers an alarm, the system automatically notifies the management department and links with the drainage system to reduce the risk of flooding;

[0132] Multi-department collaboration: Information sharing and collaborative processing among municipal, water, and transportation departments are achieved through a cloud platform.

[0133] The intelligent pipeline control system can be equipped with intelligent fire hydrants 260. The intelligent fire hydrant 260 is powered by a power storage distributor 110 through the intelligent fire hydrant power supply port K. A data acquisition processor 120 collects intelligent fire hydrant signals through the intelligent fire hydrant data output and acquisition port 9, processes the signals, and transmits them in parallel with other data. The intelligent fire hydrant 260 realizes intelligent management of the water supply network through IoT technology, which is of great value to urban safety and smart water management. It is a key infrastructure for improving fire emergency response capabilities, optimizing water resource allocation, and reducing operation and maintenance costs. Its main functions are as follows:

[0134] (1) Improve fire emergency response efficiency

[0135] Real-time water supply guarantee: Water pressure and water volume monitoring ensures that fire hydrants are always available, avoiding delays in rescue due to lack of water or insufficient water pressure during a fire;

[0136] Rapid location and dispatch: With integrated GPS / BeiDou positioning modules, fire departments can directly obtain the location of fire hydrants through the management platform, shortening response time.

[0137] (2) Optimize water management

[0138] Preventing water theft: Through functions such as smart locks and abnormal water usage alarms, we can accurately combat illegal water extraction and reduce water waste.

[0139] Leakage control: By combining pressure sensor and flow data, leak points in the pipeline network can be identified, reducing water supply losses.

[0140] (3) Reduce operation and maintenance costs

[0141] Remote inspection replaces manual labor: reduces the frequency of manual inspections, lowers labor costs, and improves the accuracy of data collection;

[0142] Predictive maintenance: Based on data analysis, it can detect equipment aging or failure risks in advance and extend its service life.

[0143] (4) Support the construction of smart cities

[0144] Data integration and collaboration: As a node of the city's Internet of Things, it works in conjunction with fire protection, municipal and transportation systems to improve the level of urban safety governance.

[0145] Implementation Method 6

[0146] In addition to being integrated into water supply networks and various sensing and control devices to perform corresponding functions, pipeline hydropower has many other application needs in various applicable scenarios.

[0147] Pipeline hydropower generation with charging piles: In areas with stable water pressure difference and flow rate, and where the water flow velocity reaches a certain threshold, such as high-level water tanks, water plants, pump station outlets, and pressure-fluctuating areas like pressure-reducing valves, pipeline hydropower generation with charging piles can recover and utilize the kinetic energy and residual pressure of the pipeline network to convert into electrical energy to charge new energy vehicles, thus enabling the expansion and utilization of green energy.

[0148] Figure 6 This is a schematic diagram illustrating the structure of a network control intelligent agent equipped with a charging pile in embodiment 6.

[0149] Intelligent power generation and intelligent power supply are equipped with intelligent distribution boxes, leakage protection and power monitoring systems. With stable pipeline flow and pressure, a direct power supply mode is adopted, which transmits electrical energy directly to the charging pile through the distribution box. In case of pipeline pressure fluctuations, energy storage devices (such as battery packs) are equipped to input stable power to the charging pile. It can also be combined with solar and wind power to complement each other and build an integrated "water, wind, solar, storage and charging" system to improve power supply stability. Although the description uses embodiment 6 as an example, the embodiments 1-5 are actually the same. In the intelligent pipeline control system of this utility model, there are hardware intelligent agents, software intelligent agents, and related application terminals. The software intelligent agent includes a pipeline intelligent power generation module, an intelligent power supply module, an intelligent data acquisition and processing module, and an intelligent pipeline application extension terminal. The hardware intelligent agent includes a gate valve body (Figures 100A and 100B show the front and rear of the gate valve body). Utilizing the kinetic energy and residual pressure generated when the fluid flows in the pipeline, a hydroelectric generator 140 is assembled to generate electricity using one of the following as a carrier: a gate valve, a butterfly valve, an expansion joint, or a filter. The electrical energy is stored in a rechargeable battery pack. The start and stop of the hydroelectric generator is controlled by the generator inlet solenoid valve 150. When the battery pack needs to be charged, the solenoid valve 150 is opened, and the water flow drives the generator to start generating electricity. In a preferred embodiment, the generator battery valve not only controls the starting and stopping of the hydroelectric generator, but also controls the amount of power generated and the amount of water. For example, it automatically opens when the battery pack's charge is less than 20%, and adjusts the water flow to prepare to close the solenoid valve 150 when the battery pack is almost fully charged. The control command for the solenoid valve's operation can be issued by a control circuit, which can be installed on the solenoid valve 150 or in the intelligent power generation module. Figure 1-8 In this system, the intelligent power generation module and intelligent power supply module are integrated into the power storage and distribution unit 110, and the intelligent data acquisition and processing module is integrated into the data acquisition processor 120. The intelligent pipeline application expansion terminal is marked as pipeline application expansion terminal 130 in the diagram. The power storage and distribution unit 110 includes a battery pack, a battery charging and discharging monitoring and management system, and a power input / output control system. The data acquisition processor 120 includes data acquisition, data storage, data processing, data analysis and application, data transmission, data monitoring and maintenance, and software / hardware control systems.

[0150] Back Figure 6 ,like Figure 6 As shown, the intelligent agent can be equipped with a charging pile 280, which is powered by a power storage distributor 110 through the charging pile power supply port I. The data acquisition processor 120 acquires the signal from the charging pile 280 through the charging pile data output and acquisition port 7, processes it, and transmits it in parallel with other data. Pipeline hydropower can also provide power for valve devices deployed in remote areas without mains power but requiring electric operation.

[0151] This invention has broad application prospects in industrial pipeline systems. Steel plants, chemical plants, paper mills, and other similar facilities have numerous circulating water systems or industrial water pipelines. The water flow in these networks has high pressure and flow rate, allowing for the installation of hydroelectric power generation equipment to generate electricity, providing some power for industrial production, reducing electricity costs for businesses, and improving energy efficiency.

[0152] In oil transportation pipeline networks, hydroelectric power generation devices are installed at appropriate locations along the pipeline when there is a pressure differential and sufficient flow, converting the energy of the flowing oil into electrical energy. This powers monitoring and communication equipment along the pipeline, ensuring the safe operation of the pipeline and data transmission.

[0153] In building water supply systems, hydroelectric power generation equipment is installed at the water supply riser or pressure reducing device in the building. It uses the potential energy of water flowing from a high place to a low place to convert it into electrical energy, so as to power some low-power equipment in the building, such as lights, monitoring equipment, elevator auxiliary equipment, etc.

[0154] In agricultural irrigation systems, when the water flow has a certain pressure and flow rate, a hydroelectric power generation device is installed in the main or branch pipe network of large-scale agricultural irrigation to convert the energy of irrigation water into electrical energy, which powers the pumps, valve control and other equipment in the irrigation system, thereby improving the energy self-sufficiency rate of the irrigation system.

[0155] In mountain irrigation systems, hydroelectric power generation devices are installed on pipelines through which irrigation water flows from higher to lower elevations, utilizing the terrain difference in elevation to provide power for irrigation equipment, farmland monitoring equipment, and other facilities on the mountain.

[0156] With the intelligent upgrading of pipeline hydropower, its adaptation to ecological and environmental protection, and the construction of multi-energy complementary systems, it will gradually move towards large-scale application. With policy support and technological breakthroughs, pipeline hydropower will eventually become an important participant in the green energy system.

[0157] The structures shown in the above embodiments illustrate one example of the content of this utility model.

[0158] In this invention, the relevant application terminals include water quality meters, flow meters, and / or electric pressure regulating valves. Combined with intelligent algorithms and model predictions, they enable control over the pipeline network's operating status, leakage location, pipe burst early warning, and energy consumption optimization.

[0159] In this utility model, the intelligent pipeline control system is equipped with a water quality meter. The power storage distributor supplies power to the water quality meter and supplies water to the water quality meter through the assembly port on the valve body. When the water quality meter needs water supply, the water supply solenoid valve receives a signal to open. When the water quality meter stops working, the water supply solenoid valve receives a signal to close. The water quality meter data can be transmitted separately through its own transmission route or transmitted together with the data collected by the software intelligent system.

[0160] In this utility model, the relevant application terminal includes a flow meter, a power storage distributor provides power to the flow meter, the power generation and power supply system of the power storage distributor is separately matched with the flow meter, the flow data is transmitted separately by the flow meter through its own transmission line and is matched with the software intelligent agent, the data is collected by the data acquisition processor of the software intelligent agent, and the flow abnormality prompts, alarms and measures are taken. At this time, the signal is transmitted to the pressure reducing valve to make a corresponding response, the flow curve is generated according to the actual requirements, the flow is judged to be normal or abnormal, and a corresponding analysis report is generated.

[0161] In this invention, the relevant application terminal includes an electric pressure regulating valve to achieve real-time dynamic pressure control of the pipeline network. The power storage distributor supplies power to the upstream pressure sensor, downstream pressure sensor, and electric actuator of the electric pressure regulating valve to complete time-sharing control, real-time control, remote control, and stepless pressure regulation. The data acquisition processor collects the upstream and downstream pressure sensor signals and, based on the set target pressure, controls the electric pressure regulating valve to achieve dynamic regulation of the pipeline network pressure. It also accumulates data by combining flow data, automatically learns data characteristics, optimizes the optimal pressure for different seasons and time periods, and completes automatic regulation.

[0162] In this invention, the pipeline pressure is gradually reduced from high pressure to low pressure by controlling the electric pressure regulating valve. Based on the pressure and flow changes combined with statistical probability analysis and collaborative cross-control analysis, the presence and quantity of leakage are determined, pressure and flow management red lines are set, and when the monitoring indicators approach the management red lines, timely warnings are issued and measures are taken quickly.

[0163] In this invention, the intelligent agent is equipped with an electric pressure regulating valve and a water supply booster device. The power storage distributor supplies power to the pressure sensor before the valve, the pressure sensor after the valve, and the electric actuator of the electric pressure regulating valve.

[0164] In this invention, the data acquisition processor collects pressure signals from the pressure sensor before the valve, the pressure sensor after the valve, and the water supply booster device. When the water supply pressure at the most unfavorable point is insufficient, the pressure sensor at the most unfavorable point transmits the signal to the data acquisition processor, which controls the pressure regulating valve to increase its opening and begin boosting the pressure. Based on the distance of pressure transmission in the pipeline network, the processor delays the flow to ensure sufficient pressure and flow in the pipeline network to meet the needs of the booster device. When the water pressure at the most unfavorable point is sufficient, the pressure sensor transmits the pressure signal to the data acquisition processor, which controls the pressure regulating valve to reduce the regional pressure to a reasonable range, achieving regional pressure balance.

[0165] This invention also includes a control system for the intelligent power generation module and the intelligent power supply module, which collects various data from relevant sensors and equipment requiring power supply, and uses AI and algorithms as the basis for application to further process and analyze the data to form a conclusion report, providing real-time and uninterrupted data services, and outputting standardized and comprehensive steady-state data to provide comprehensive data support for users' scheduling operations under different working conditions.

[0166] In this utility model, the pipeline application expansion terminal expands data acquisition interfaces and control interfaces according to the increasing demand for sensing applications. The sensing applications include at least one of temperature, liquid level, ambient temperature and humidity, displacement, hydrophone, smart fire hydrant, smart manhole cover, equipment status, and pipeline residual pressure recovery power generation.

[0167] In this invention, the structures of each embodiment can be combined with other known technologies. The structures of each embodiment can also be appropriately combined with each other. Without departing from the spirit of this invention, a portion of the structure of each embodiment can be omitted or modified.

[0168] In addition, in the various embodiments of this utility model, all functional units can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0169] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0170] Alternatively, if the integrated units of this utility model are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of this utility model, or the part that contributes to the prior art, can be embodied in the form of a software product. This 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 methods described in the various embodiments of this utility model. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0171] The present invention has been described in detail above with reference to specific embodiments. However, those skilled in the art will understand that various modifications and changes can be made. As long as they do not depart from the spirit and purpose of the present invention, all such modifications and changes should fall within the protection scope of the present invention, which is defined by the appended claims.

Claims

1. A pipe network regulation intelligent agent applied to water quality monitoring, characterized in that, The intelligent pipeline control system is equipped with water quality instruments for online water quality monitoring. The intelligent pipeline control system includes a power storage distributor and a data acquisition processor. The power storage distributor supplies power to the water quality instrument via the water quality instrument power supply port, and the data acquisition processor collects data from the water quality instrument through the water quality instrument data output and acquisition port. The power supply port of the water quality instrument solenoid valve is extended by the gate valve assembly to supply power to the water quality instrument solenoid valve.

2. The pipe network regulating agent of claim 1, wherein, The power storage distributor is connected to the hydroelectric generator unit; the hydroelectric generator unit supplies power to the power storage distributor through the power supply port of the generator to the power storage distributor; the power storage distributor supplies power to the generator solenoid valve through the power supply port of the generator solenoid valve on the generator side of the gate valve assembly. The water supply port of the water quality instrument is connected to the assembly port on the side of the gate valve assembly expansion assembly to supply water to the water quality instrument.

3. A pipe network regulation agent applied to flow monitoring, characterized in that, The intelligent pipeline control system is equipped with a flow meter; The intelligent pipeline control system includes a power storage distributor and a data acquisition processor. The power storage distributor supplies power to the flow meter via the flow meter power supply port. The data acquisition processor acquires and outputs data from the flow meter through the flow meter's data output and acquisition port.

4. The pipe network regulating agent of claim 3, wherein, The power storage distributor is connected to the hydroelectric generator unit, which supplies power to the power storage distributor through the generator to the power storage distributor power supply port; the power storage distributor supplies power to the generator solenoid valve through the generator solenoid valve power supply port on the generator side of the gate valve assembly.

5. A pipe network regulation agent applied to pressure monitoring, characterized in that, The pipeline control intelligent agent used for pressure monitoring is equipped with an electric pressure regulating valve. The intelligent pipeline control system includes a power storage distributor and a data acquisition processor. The power storage distributor supplies power to the electric actuator, the downstream pressure sensor, and the upstream pressure sensor of the electric pressure regulating valve via the power supply port of the pressure regulating valve actuator, the power supply port of the downstream pressure transmitter, and the power supply port of the upstream pressure transmitter. The data acquisition processor is used to acquire the pressure sensor signal before the valve through the output of the pressure sensor before the valve and the acquisition port, and to acquire the pressure sensor signal after the valve through the output of the pressure sensor after the valve and the acquisition port.

6. The pipe network regulating agent of claim 5, wherein, The power storage distributor is connected to a hydroelectric generator, which supplies power to the power storage distributor via a generator to the power supply port of the power storage distributor.

7. A pipe network regulation agent applied to pressure regulation, characterized in that, The intelligent pipeline control system is equipped with an electric pressure regulating valve and a high-end water supply booster device. The intelligent pipeline control system includes a power storage distributor and a data acquisition processor. The power storage distributor supplies power to the downstream pressure sensor of the electric pressure regulating valve, the upstream pressure sensor on the gate valve side, and the electric actuator of the electric pressure regulating valve via the power supply port of the pressure regulating valve actuator and the power supply port of the valve downstream pressure transmitter. The data acquisition processor acquires pressure signals from the downstream pressure sensor, the upstream pressure sensor, and the water supply booster equipment via the output and acquisition ports of the downstream pressure sensor, the upstream pressure sensor, and the high-end water supply booster equipment.

8. The pipe network regulating agent of claim 7, wherein, The power storage distributor is connected to a hydroelectric generator, which supplies power to the power storage distributor via a generator to the power supply port of the power storage distributor.

9. A pipe network regulation agent applied to ubiquitous sensing, characterized in that, The intelligent agent for pipeline control is equipped with a pipeline temperature sensor. The intelligent agent for pipeline control includes a power storage distributor and a data acquisition processor. The power storage distributor supplies power to the pipeline temperature sensor. The data acquisition processor acquires signals from the pipeline temperature sensor via the pipeline temperature sensor data output and acquisition port.

10. The pipe network regulating agent of claim 9, wherein, The intelligent agent for pipeline control is equipped with a pipeline temperature sensor; the power storage distributor supplies power to the pipeline temperature sensor, and the data acquisition processor acquires the pipeline temperature sensor signal through the pipeline temperature sensor data output and acquisition port.

11. The pipe network regulating agent of claim 9, wherein, The intelligent pipeline control system is equipped with an environmental temperature and humidity sensor. The power storage distributor is powered through the power supply port of the environmental temperature and humidity sensor, and the environmental temperature and humidity sensor is connected to the data output and acquisition port of the environmental temperature and humidity sensor.

12. The pipe network regulating agent of claim 9, wherein, The intelligent pipeline control system is equipped with a liquid level sensor. The power storage distributor is powered through the liquid level sensor's power supply port, and the data acquisition processor acquires liquid level signals through the liquid level sensor's data output and acquisition port.

13. The pipe network regulating agent of claim 9, wherein, The intelligent pipeline control system is equipped with an intelligent manhole cover. The power storage and distribution unit supplies power to the intelligent manhole cover through its power supply port, and the data acquisition processor collects signals from the intelligent manhole cover through its output and acquisition ports.

14. The pipe network regulating agent of claim 9, wherein, The intelligent pipeline control system is equipped with intelligent fire hydrants, which are powered by a power storage distributor through the intelligent fire hydrant power supply port. The data acquisition processor acquires intelligent fire hydrant signals through intelligent fire hydrant data output and acquisition port.

15. The intelligent agent for pipeline control according to any one of claims 9-14, characterized in that, The power storage distributor is connected to the hydroelectric generator, and the hydroelectric generator supplies power to the power storage distributor through the generator to the power supply port of the power storage distributor; The power storage distributor supplies power to the generator solenoid valve via a gate valve mounted on the generator side power supply port.

16. A pipe network regulation agent carrying a charging pile, characterized in that, The intelligent network control system includes a power storage distributor and a data acquisition processor. The power storage distributor supplies power to the charging piles via the charging pile power supply port, and the data acquisition processor acquires charging pile signals via the charging pile data output and acquisition port.

17. The pipe network regulating agent of claim 16, wherein, The power storage distributor is connected to the hydroelectric generator, and the hydroelectric generator supplies power to the power storage distributor through the generator to the power supply port of the power storage distributor; The power storage distributor supplies power to the generator solenoid valve via a gate valve mounted on the generator side power supply port.

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