Pipe network regulation and control agent

Abstract

A pipe network regulation and control agent comprises a hardware agent, a software agent and a related application end. The software intelligent agent comprises a pipe network intelligent power generation module, an intelligent power supply module, an intelligent data acquisition and processing module and an intelligent pipe network application expansion end, is assembled with a hydroelectric generator for power generation, stores electric energy in a rechargeable battery pack, provides power for various devices needing the electric energy on a pipe network, and drives related equipment to complete corresponding actions; sufficient and uninterrupted power is provided for work of various sensors, and the current industrial problems that a pipe network has no mains supply, automation and intelligentization of pipe network equipment cannot be truly achieved, and transmission efficiency of various sensors is low can be effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of water pipe network control, and in particular to a water pipe network control intelligent body and a control optimization method and medium based on the pipe network control intelligent body. Background Art

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

[0003] The development of smart water systems requires the acquisition of massive amounts of sensory data to enable analysis, prediction, and effective water resource management. As business expands and management precision deepens, the volume of data increases, making data collection, transmission, and application fundamental and crucial.

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

[0005] Sensors, as the nerve endings of smart water services, are responsible for collecting and transmitting data on various water environments. They have been deployed in large numbers and cover a wide range of areas. However, with widespread use, the following issues have emerged: 1. Since most areas lack power supply, the operation of sensors and data transmission are almost entirely dependent on electricity. Electromagnetic flow meters, pressure sensors, etc. deployed on the water supply network rely on batteries. The battery life is poor and the cost is high. The transmission frequency is low and there is a delay. Real-time transmission and data acquisition are impossible, resulting in low data application efficiency. Some important sensing equipment, such as water quality monitoring and analysis instruments, cannot be deployed on the water supply network. 2. The basic architecture of smart water management includes the perception layer, data layer, and application layer. After years of substantial investment, it has begun to take shape and achieve results. However, it currently lacks an execution layer to provide dynamic, real-time, and optimized intelligent management and control of key indicators such as pressure, flow, and water quality in the pipeline network. This is like having a developed brain and nervous system but lacking an executive hand. 3. Although the construction of the perception layer has invested heavily, the data is not fully utilized. There are many types of perception devices, and the data sources are wide, the structure is complex, the formats are diverse, and the frequency of generation is different. The sensor data from different manufacturers are difficult to integrate, and the output data has not been cleaned and managed. There are glitches and sporadic data, the data quality is uneven, and data management and organization are missing. Standardized and unified steady-state data cannot be output, resulting in incomplete data and inability to connect, thus forming information islands. This puts very high demands on the perception system, how to efficiently and in real time summarize, analyze and apply data.

[0006] Chinese patent document CN102828889A discloses a self-powered device and method for a heat network pressure data collector. One end of the power generation pipeline is connected to the heat network water supply pipe via valve number one, and the other end is connected to the heat network return pipe via valve number two. The impeller of a micro-hydro generator is placed within the power generation pipeline, and the electrical signal output of the micro-hydro generator is connected to the power signal input of the pressure data collector. This achieves self-powering of the heat network pressure data collector. However, this solution only provides self-powering of the data collector, and its reference value for smart water management is limited.

[0007] Chinese patent document CN103616070A discloses a hydraulically self-powered water pipeline pressure measuring device. The impeller of a hydroelectric generator is installed within 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 enables the pipeline pressure measuring device to operate reliably and for a long time without external power supply. It can also be concealed for protection against theft and vandalism. This solution further incorporates a communication module to enable data transmission, but its reference value for smart water services is also limited.

[0008] Chinese patent document CN103935368A discloses a design and implementation method for a self-generating, low-power water meter. This method, connected to an MSP430 single-chip microcomputer, uses hydropower to power the circuit, solving the problem of digitally displaying water flow and providing uninterrupted power supply without the need for an external or replacement power supply.

[0009] Chinese patent document CN109973704A discloses a valve and its control system, which includes a flow monitoring device and a pressure detection device, and ensures immediate power supply when electrical instruments or equipment on the valve need electricity.

[0010] Chinese patent document CN13607226A discloses a wireless remote transmission self-generated flow metering method. A turbine generator device is placed 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 device in real time to obtain the current measurement value, ensuring real-time transmission of measurement data and ensuring that data is not lost.

[0011] Chinese patent document CN116718239A discloses a hydroelectric remote valve-controlled water meter, which includes a water meter body, a hydroelectric component arranged in the water meter body, a valve control component, and a data acquisition component. After water enters the water meter body, it generates electricity through the hydroelectric component to power the data acquisition component and the valve control component.

[0012] Chinese patent document CN212670713U discloses a pipeline pressure detection device that can be remotely controlled and automatically powered. The device includes a water pipeline and a pressure sensor. The pressure sensor is arranged inside the water pipeline. The device also includes a hydroelectric generator and a battery. The branch water flow of the water pipeline drives the generator to generate electricity, and the electricity is supplied to the data processing system, which automatically collects and sends pressure monitoring data to the remote control system.

[0013] Chinese patent document CN220365674U discloses a device for generating hydroelectric power using a water supply pipe, comprising a water supply pipe and a power generation mechanism arranged in the water supply pipe.

[0014] Chinese patent document CN220671411U discloses an automated data acquisition device for hydropower generation, wherein a transmission line is inserted into an inner sleeve, and one end is connected to a water quality sensor.

[0015] However, these existing self-powered devices are relatively simple in structure and cannot be coordinated to achieve real-time control of smart water networks. Accurate, dense, and real-time data is the fundamental underlying architecture of smart water management. The key to solving this problem is to build a network control "intelligent entity" that can perceive water status in real time, collect and analyze water information, and control the network in real time.

[0016] An intelligent agent is an entity that can autonomously perceive its environment, make decisions, and execute actions to achieve specific goals. Based on artificial intelligence, sensor, and actuator technologies, software and hardware agents are used to enable them to interact with their environment, continuously learn, and make autonomous decisions. Summary of the Invention

[0017] In view of the technical problems existing in the prior art, the present invention aims to propose an intelligent pipe network control body, which can effectively solve the current industry pain points such as the lack of mains power in the pipe network, the inability to truly realize the automation and intelligence of pipe network equipment, and the low transmission efficiency of various sensors.

[0018] More specifically, according to one aspect of the present invention, a pipeline control intelligent body is provided, which is characterized in that it includes a hardware intelligent body and a software intelligent body and related application terminals; the software intelligent body includes a pipeline intelligent power generation module, an intelligent power supply module, an intelligent data acquisition and processing module, and an intelligent pipeline application expansion terminal; the hardware intelligent body includes at least one gate valve body, which utilizes the kinetic energy and residual pressure generated by the flow of fluid in the pipeline, and uses 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 stores the electrical energy in a rechargeable battery pack to provide power for various devices requiring electrical energy on the pipeline, to drive related equipment to complete corresponding actions, and to provide sufficient and uninterrupted power for the operation of various sensors. The start and close of the hydroelectric generator is controlled by the generator water inlet solenoid valve. When the battery pack needs to be charged, the solenoid valve is driven to open, and the water flow drives the generator to start generating electricity. Conversely, when the battery pack does not need to be charged, the solenoid valve is closed and the generator stops working.

[0019] Meanwhile, according to another aspect of the present invention, an intelligent pipe network control agent is proposed. This agent is equipped with a control system for intelligent power generation and power supply. It collects various data from relevant sensors and power-requiring equipment. Based on applications, it overlays AI and algorithms to further process and analyze the data to form conclusion reports. This provides real-time, uninterrupted data services and outputs standardized, comprehensive steady-state data. This provides comprehensive data support for users' scheduling operations under different working conditions.

[0020] Furthermore, in addition to assembling hydroelectric generators on carriers such as gate valves, butterfly valves, expansion joints, and filters, the pipe network control intelligent body proposed in the present invention can also expand various assembly interfaces for assembling various sensing devices such as pressure, flow, water quality, liquid level, temperature, humidity, displacement, equipment status, exhaust valves, and other equipment required for the pipe network. It integrates intelligence, integration, standardization, and greenness, is easy to install, and facilitates maintenance and repair, improves the digitization and intelligence of the pipe network, and serves the core management goals of water companies to reduce costs, increase efficiency, and ensure safety.

[0021] According to another aspect of the present invention, the pipe network control agent proposed in the present invention is composed of a hardware agent, a software agent and related application terminals; 1. The hardware intelligent body is equipped with a hydroelectric generator on the gate valve body. It can also be equipped on interchangeable carriers on the pipe network, such as butterfly valves, ball valves, expansion joints, and filters, according to the actual scenario. The start and stop of the generator is controlled by the solenoid valve at the generator water inlet. When the battery pack needs to be charged, the solenoid valve is driven to open, and the water flow drives the generator to start generating electricity. Conversely, when the battery pack does not need to be charged, the solenoid valve is closed and the generator stops working. The assembly port is expanded to assemble pressure gauges, pressure transmitters, water quality meter water supply pipes and water supply pipe switch solenoid valves, as well as other assembly ports that need to be expanded. All piping on the valve body is detachable and interchangeable, making maintenance and use convenient and safe. 2. The software intelligent body consists of a power storage distributor, a data acquisition processor, and a pipe network application expansion terminal.

[0022] 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; The data acquisition processor is composed of data acquisition, data storage, data processing, data analysis application, data transmission, data monitoring and operation and maintenance, as well as software and hardware control systems, becoming a pipe network information integration tool and a software and hardware control center; According to the increasing demand for other ubiquitous sensing applications, the pipeline network application expansion end can expand the data acquisition interface and control interface at the pipeline network application expansion end to enhance the depth and accuracy of the data required for pipeline network regulation. Its function is the same as that of the data acquisition processor.

[0023] Pipeline network control intelligent applications primarily address core and high-frequency applications, followed by other ubiquitous sensing applications, building a multidimensional data set. In smart water pipe networks, water quality, flow, and pressure are both core and high-frequency applications. Temperature, liquid level, ambient temperature and humidity, displacement, hydroacoustics, smart fire hydrants, smart manhole covers, equipment status, and pipe network residual pressure recovery and power generation constitute the network's ubiquitous sensing system and its expanded applications.

[0024] The invention uses standard valves as a carrier for assembling the generator, eliminating the need for pipe cutting and requiring only valve installation or replacement. The generator impeller is protected from impact and influence from foreign objects in the pipe network. In extreme cases, even if moving parts within the generator are damaged or fall off, secondary contamination of the pipe network and other adverse effects will not occur. The generator unit and expansion port are detachable, interchangeable, and universal, allowing for online replacement and maintenance without shutting down the water supply.

[0025] Separate connections with flow meters, water quality meters, pressure regulators, and other sensors prevent turbulence and cavitation, ensuring the accuracy of monitoring for various instruments. It offers wide compatibility and flexible installation and assembly. Centralized power supply maintains a stable power supply for various sensing devices, eliminating the need for battery packs for the accompanying sensing devices. Information collection and sensors utilize integrated collection, storage, and transmission, eliminating the need for storage and transmission capabilities for the accompanying sensing devices. This significantly reduces the cost of sensing equipment, addresses the cost pressures associated with large-scale deployment, solves the challenges of difficult maintenance and power supply in remote locations, and breaks down barriers to inconsistent data and communication standards between different devices.

[0026] Leverage high-frequency data collection to quickly and directly address pain points and core issues. For example, AI algorithms overlay flow and pressure data to determine leaks in the pipeline network and calculate the amount of leakage in real time, while simultaneously minimizing leakage through pressure control. This effectively closes the loop of data collection, analysis, processing, transmission, and application, maintaining an orderly and efficient water supply network. This 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 based on actual application needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a structural diagram showing a pipe network control intelligent body (applied to the deployment and monitoring of water quality meter pipe networks) involved in one embodiment 1 of the present invention.

[0028] Figure 2 It is a structural diagram showing a pipe network control intelligent agent (applied to flow meter pipe network deployment and data application) involved in one embodiment 2 of the present invention.

[0029] Figure 3 It is a structural diagram showing a pipe network control intelligent agent (applied to pipe network pressure control and data application) involved in one embodiment 3 of the present invention.

[0030] Figure 4 It is a structural diagram showing a pipe network control intelligent body (applied to high-end water supply boosting and regional pressure balancing) involved in one embodiment 4 of the present invention.

[0031] Figure 5 It is a structural diagram showing a pipe network control intelligent agent (applied to pipe network ubiquitous perception application) involved in one embodiment 5 of the present invention.

[0032] Figure 6 It is a structural diagram showing a pipe network control intelligent body (pipe network hydropower generation equipped with charging pile application) involved in one embodiment 6 of the present invention.

[0033] Figure 7 It is a schematic diagram showing the overall structure of a pipe network control intelligent body involved in embodiments 1-6 of the present invention.

[0034] Figure 8 It is a schematic diagram showing the overall structure of a pipe network control intelligent body involved in embodiments 1-6 of the present invention.

[0035] Figure markings: A-water quality meter power supply port; B-flow meter power supply port; C-pressure regulating valve actuator power supply port; D-valve rear end pressure transmitter power supply port; E-valve front end pressure transmitter power supply port; F-generator solenoid valve power supply port; G-water quality meter water supply solenoid valve power supply port; H-pipeline temperature sensor power supply port; I-charging pile power supply port; J-smart manhole cover power supply port; K-smart fire hydrant power supply port; L-liquid level sensor power supply port; M-ambient temperature and humidity sensor power supply port; Z-generator to power storage distributor power supply port; S-water quality meter water supply port; 1-water quality meter data output and acquisition port; 2-flow meter data output and acquisition port; 3-valve rear end pressure sensor output and acquisition port; 4-high-end water supply boosting equipment pressure signal output and acquisition port; 5-valve front end pressure sensor output and acquisition port; 6-pipeline temperature sensor data output and acquisition port; 7-charging pile power supply port Pile data output and collection port; 8-Smart manhole cover data output and collection port; 9-Smart fire hydrant data output and collection port; 10-Liquid level sensor data output and collection port; 11-Ambient temperature and humidity sensor data output and collection 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 device; 150-Generator solenoid valve; 160-Water quality meter; 170-Water quality meter 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-remote water supply boosting 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 DESCRIPTION

[0036] The pipe network control intelligent agent of the present invention will be described in detail below with reference to the accompanying drawings and in combination with specific embodiments. Those skilled in the art will appreciate that this description is exemplary and the present invention is not limited to this specific embodiment.

[0037] It should be noted that the connection between ports in this article obviously needs to be connected through pipelines, such as the following Figure 1-8 For simplicity and clarity, the lines connecting ports are labeled 1. Those skilled in the art will readily understand that the connection between the two ends of the flowmeter power supply port 1 is a circuit line. The lines connecting ports are labeled A. Those skilled in the art will readily understand that the connection between the two ends of the flowmeter signal acquisition port A is a data line. Similarly, a line connecting a water body, such as a water quality meter, is a tap water line.

[0038] First, refer to Figure 7 、 8 , the pipe network control intelligent agent of the present invention is generally described in a decomposed manner.

[0039] The pipeline network control agent of the present invention generally comprises two major components: a hardware agent and a software agent. The software agent includes, but is not limited to, a pipeline network intelligent controller and its input and output ports. By issuing and receiving instructions to the pipeline network intelligent controller, it controls the operation of the corresponding pipelines, enabling the corresponding input and output ports to perform on / off or regulation functions. The pipeline network intelligent controller includes, but is not limited to, a power storage and distribution unit 110, a data acquisition processor 120, and a pipeline network application expansion terminal 130. The hardware agent includes, but is not limited to, a gate valve body 100 (the figure shows the gate valve assembly generator side 100A and the gate valve assembly expansion port side 100B), an electric pressure regulating valve 190, a flow meter 180, and the like. The power storage distributor 110 supplies power to each hardware intelligent body through the water quality meter power supply port A, the flow meter power supply port B, the pressure regulating valve actuator power supply port C, the valve rear end pressure transmitter power supply port D, the valve front end pressure transmitter power supply port E, the generator solenoid valve power supply port F, the water quality meter water supply solenoid valve power supply port G, the pipe network temperature sensor power supply port H, the charging pile power supply port I, the smart manhole cover power supply port J, the smart fire hydrant power supply port K, the liquid level sensor power supply port L, the ambient temperature and humidity sensor power supply port M, and the generator to power storage distributor power supply port Z, respectively. Water port S, water quality meter data output, collection port 1, flow meter data output, collection port 2, valve rear end pressure sensor output, collection port 3, high-end water supply booster equipment pressure signal output, collection port 4, valve front end pressure sensor output, collection port 5, pipe network temperature sensor data output, collection port 6, charging pile data output, collection port 7, smart manhole cover data output, collection port 8, smart fire hydrant data output, collection port 9, liquid level sensor data output, collection port 10, ambient temperature and humidity sensor data output, collection port 11 output, collect data signals of each hardware intelligent body. It should be pointed out that the connection relationship between them is not just an "and" relationship. The above components will only be used when all are needed (such as Figure 8 ), and even a few parts use two or more (such as Figure 1-6 These components are combined with hardware and software to work together to realize the various functions of the pipe network control intelligent body of the present invention.

[0040] Implementation Method 1

[0041] Figure 1 It is a structural diagram of an intelligent pipe network control agent applied to water quality monitoring according to implementation mode 1.

[0042] It should be noted that currently, real-time online water quality monitoring instruments are mostly operated in water plants, pumping stations, and secondary supply pump rooms. The operation of water quality monitoring instruments requires sufficient and stable electricity and water supply in the pipeline network. Due to limited conditions, water quality monitoring instruments are rarely installed on the water supply pipeline network. According to the present invention, the pipeline network 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 the pipeline network a reality.

[0043] like Figure 1 As shown, on the basis of the pipe network control intelligent body of the present invention, a water quality meter 160 is installed to realize online monitoring of water quality. The pipe network control intelligent body 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 power supply port F of the generator solenoid valve on the generator side 100A of the gate valve assembly, 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 assembly side 100B, and the hydroelectric generator device 140 supplies power to the power storage distributor 110 via the generator to the power storage distributor power supply port Z, and supplies power to the power storage distributor 110 via the gate valve assembly expansion The assembly port on the assembly port side 100B is connected 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 in the water quality meter 160 through the water quality meter data output and collection port 1. When the water quality meter 160 needs water supply, the water quality meter water supply solenoid valve 170 located on the assembly expansion 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 separately through its own data transmission system, or it can be collected by the intelligent body and transmitted together with other data. At this time, the water quality meter 160 does not need to set up a separate data transmission system, and it is completed by the intelligent body instead.

[0044] Implementation Method 2

[0045] Smart water management has deployed a large number of flow meters, exceeding 70% in first- and second-tier cities. Flow meter data accounts for a significant portion of water management big data platforms. Flow meters are not only data collectors for smart water management but also core engines for water conservation, efficiency improvement, safety management, and sustainable development. They are one of the most frequently used and core applications in pipe networks. Whether using large-capacity batteries or low-power designs, flow meters deployed on pipe networks lack sustained power due to lack of mains power and high-frequency transmission. This results in delayed flow data, making the data platform and hydraulic models inefficient in their application of flow data. Many existing flow meters lack IoT interfaces and suffer from poor protocol compatibility.

[0046] Figure 2 It is a structural diagram of a pipe network control intelligent body applied to flow monitoring according to implementation mode 2.

[0047] like Figure 2 As shown, the pipeline network control agent is equipped with a flow meter 180. Similar to Example 1, the hydroelectric generator 140 supplies power to the power storage distributor 110 via the generator-to-power storage distributor power supply port Z. The power storage distributor 110 provides stable and continuous power to the flow meter 180 via the flow meter power supply port B, enabling flow data transmission to be as fast as minutes. The data acquisition processor 120 collects and outputs data from the flow meter 180 via the flow meter data output and acquisition port 2. The power storage distributor 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 generation and power supply system associated with the power storage distributor 110 is independently integrated with the flow meter 180. Flow data can be transmitted independently by the flow meter 180 and integrated with the software agent. The data is collected by the software agent, prompting flow anomalies, issuing alarms, and taking appropriate measures, such as transmitting signals to the pressure reducing valve (not shown) for a corresponding response. A flow curve is generated based on actual requirements to determine whether the flow is normal or abnormal, and a corresponding analysis report is issued. After multi-source data integration and further processing, it is transmitted in parallel with other data as needed, especially fused with pressure data for analysis, combined with intelligent algorithms and model predictions, to achieve precise control of the pipeline network's operating status, leakage location, pipe burst warning and energy consumption optimization.

[0048] Implementation 3

[0049] Figure 3 It is a structural diagram of a pipe network control intelligent body applied to pressure control, showing implementation mode 3.

[0050] Pressure data collection and pressure control play a core role in smart water systems and are key to ensuring safe and efficient operation of water supply systems. Their role is mainly reflected in the following aspects: Infrastructure safety monitoring: Real-time monitoring of water supply network pressure fluctuations. Excessively high or fluctuating water pressure can accelerate pipeline aging, cause pipe bursts, threaten public safety, and lead to water resource waste. Pressure threshold alarms are set in areas with older pipelines, and valve shut-off devices are linked to quickly respond to abnormal pressures. Key indicators for leakage control: Precise pressure control can reduce pipeline stress and leakage rates. Leaks can be located through pressure gradient analysis, and the optimal minimum flow rate at night can be dynamically adjusted to meet customer water demand while maintaining the pressure corresponding to the minimum flow rate. Energy saving and consumption reduction: The traditional constant pressure water supply mode has high energy consumption, and intelligent pressure control can be adjusted according to actual needs to reduce ineffective energy consumption.

[0051] Water demand forecasting basis: Combine historical pressure data with time series analysis to establish a regional water demand forecasting model, and perform regression analysis on pressure change rate and flow data to improve the accuracy of water demand forecasting; In the development of smart water services, pressure data will be deeply integrated into digital twin systems. Coupled with AI predictive models, this will enable a shift from passive response to proactive prevention. Pressure management systems will evolve into intelligent entities with autonomous decision-making capabilities, continuously optimizing the resilience and sustainability of urban water supply systems.

[0052] like Figure 3 As shown, the pipeline network control intelligent entity proposed in the present invention is equipped with an electric pressure regulating valve 190, which can achieve real-time dynamic pressure control of the pipeline network. As in Example 1, the hydroelectric generator device 140 supplies power to the power storage distributor 110 via the generator to the power storage distributor power supply port Z. The power storage distributor 110 supplies power to the electric actuator (not shown) of the electric pressure regulating valve 190, the valve rear pressure transmitter power supply port C, and the valve front pressure transmitter power supply port E, respectively. The electric pressure regulating valve 190 can achieve time-sharing control, real-time control, remote control, and stepless pressure regulation without manual intervention, thus realizing automated and intelligent pressure regulation.

[0053] The data acquisition processor 120 collects the signal of the valve front pressure sensor 210 through the valve front pressure sensor output and acquisition port 5, and collects the signal of the valve rear pressure sensor 200 through the valve rear pressure sensor output and acquisition port 3. According to the set target pressure, it controls the electric pressure regulating valve 190 to complete the dynamic regulation of the pipeline pressure, and combines the flow data for data accumulation, automatically learns the data characteristics, optimizes the optimal pressure in different seasons and time periods, and completes the automatic regulation. It should be noted that the machine learning and optimization related features and methods of the present invention will be proposed in another patent of the applicant. Since it is not the inventive point of the present invention, it is not described in detail. In fact, ordinary machine learning or reinforcement learning methods can also be used here to complete the optimization action.

[0054] When the pressure control deployment is relatively complete, the accurate pressure demand feedback of each area makes the factory pressure more reasonable. For suspected or existing leakage, the electric pressure regulating valve is controlled to gradually reduce the pipeline pressure from high pressure to low pressure. According to the pressure and flow changes combined with statistical probability analysis, coordinated staggered control analysis is carried out to determine whether there is leakage and the amount of leakage experienced, and set the pressure and flow management red line. When the monitoring indicators approach the management red line, timely warnings are issued and measures are taken quickly, such as pressurization, decompression, valve closing, etc., to prevent pipe bursts, water leakage, and untimely water supply.

[0055] Implementation 4

[0056] Real-time dynamic pressure control of the pipeline network is the most effective, direct and economical leakage control method. Pipeline network leakage control is a continuous process. As long as water flows in the pipeline, there may be leakage. Leakage control is the operational process of minimizing the difference between production and sales water volume. The reduction of the difference between production and sales water volume includes reducing pipeline network leakage and reducing the water supply managed by water plants and pumping stations.

[0057] The most unfavorable point in the water supply network is one of the core challenges in achieving pressure standards across the entire water supply system. To meet water supply needs at this point, the front end often operates at higher pressures, making network leakage difficult to control and energy consumption high. Long-term high-pressure operation poses a significant threat to network safety. Increasing pressure at this point not only ensures water pressure at this point, but also effectively reduces the average pressure of water leaving the plant.

[0058] Figure 4 It is a structural diagram of a pipe network control intelligent body applied to pressure control according to implementation mode 4.

[0059] The intelligent body is equipped with an electric pressure regulating valve 190 and a high-end water supply booster 220 to achieve high-end pressure balance within the area. Similar to the above-mentioned embodiments 1-3, the hydroelectric generator 140 supplies power to the power storage distributor 110 via the generator to the power storage distributor power supply port Z. The power storage distributor 110 supplies power to the post-valve pressure sensor 200 of the electric pressure regulating valve 190, the pre-valve pressure sensor 210 on the gate valve 100B side, and the electric actuator (not shown) of the electric pressure regulating valve 190 via the pressure regulating valve actuator power supply port C and the post-valve pressure transmitter power supply port D.

[0060] The data acquisition processor 120 collects pressure signals from the post-valve pressure sensor 200, the pre-valve pressure sensor 210, and the water supply booster 220 through the output of the post-valve pressure sensor, acquisition port 3, the output of the pre-valve pressure sensor, acquisition port 5, and the pressure signal output of the remote water supply booster, acquisition port 4. 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 initiate pressure boosting. This delay is based on the distance the pipeline pressure is transmitted, ensuring sufficient pressure and flow in the pipeline network to operate the water supply booster 220 and preventing the operation of the water supply booster 220 from causing negative pressure in the pipeline network. 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.

[0061] It should be noted that in this embodiment, although the data acquisition processor 120 collects pressure signals from the post-valve pressure sensor 200, the pre-valve pressure sensor 210, and the water supply boosting device 220 through the post-valve pressure sensor output and acquisition port 3, the pre-valve pressure sensor output and acquisition port 5, and the remote water supply boosting device pressure signal output and acquisition port 4, the figures illustrate signal transmission using wired communication. In practice, short-range or long-range wireless transmission methods can also be used. For example, wireless Wi-Fi can be used to transmit data from the data acquisition processor 120 to the water supply boosting device 220.

[0062] Implementation 5

[0063] In order 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 perceptions are also needed, such as pipeline temperature, ambient temperature and humidity, liquid level, equipment status, etc., to form multi-dimensional data, as well as expanded applications such as smart manhole covers and smart fire hydrants to support it.

[0064] Figure 5 It is a structural diagram of an intelligent pipe network control agent applied to ubiquitous perception, representing implementation mode 5.

[0065] The pipe network control intelligent body can be equipped with a pipe network temperature sensor 230. As in embodiments 1-4, the hydroelectric generator device 140 supplies power to the power storage distributor 110 through the generator to power storage distributor power supply port Z. The power storage distributor 110 supplies power to the generator solenoid valve 150 through the generator solenoid valve power supply port F on the generator side 100A of the gate valve assembly. The power storage distributor 110 supplies power to the pipe network temperature sensor 230 through H. The data acquisition processor 120 collects the pipe network temperature sensor 230 signal through the pipe network temperature sensor data output and acquisition port 6, and after processing, transmits it in a table with other data. In this embodiment, the functions of obtaining water supply network water temperature data mainly include the following aspects: (1) Ensure microbial safety Water temperature directly affects the activity of microorganisms in water. For example: Inhibit bacterial growth: High temperatures (e.g., 25-50°C) may accelerate the growth of pathogenic bacteria such as Legionella and E. coli. By monitoring water temperature in real time, disinfection measures can be adjusted in a timely manner (e.g., increasing the amount of residual chlorine added); Control algae growth: Increased water temperature will promote algae reproduction and affect water clarity. Monitoring data can guide the optimization of water treatment processes.

[0066] (2) Optimize water treatment process Adjust coagulation and filtration parameters: Changes in water temperature will affect water viscosity and dissolved oxygen content, which in turn affects the coagulant effect and filtration efficiency, requiring dynamic adjustment of process parameters; Disinfectant efficacy management: Residual chlorine has different disinfection effects at different temperatures. Monitoring water temperature can ensure that the residual disinfectant meets national standards (such as residual chlorine at the end of the pipeline network ≥0.05 mg / L).

[0067] (3) Preventing risks in pipeline equipment Prevent scaling and corrosion: High temperatures accelerate mineral deposition (such as calcium carbonate scaling), and low temperatures may cause metal pipes to freeze and crack. Water temperature data can guide pipe material selection and maintenance cycles. Reduce thermal stress damage: Excessive temperature differences 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.

[0068] (4) Improve user service quality Ensure water comfort: Monitoring water temperature can optimize the control parameters of secondary water supply equipment; Prevent extreme hazards: Low temperatures in winter may cause pipes to freeze, and high temperatures in summer may cause scalding risks. The early warning system can intervene in advance.

[0069] (5) Support compliance and emergency management Meeting hygiene standards: National standards (such as GB5749-2006, "Sanitary Standard for Drinking Water") have clear requirements for parameters such as residual chlorine and turbidity. Water temperature monitoring is an important part of water quality compliance. Accident retrospective analysis: Historical water temperature data can be used to trace the cause of pipeline network failures (e.g., a sudden change in water temperature during a water outage reveals insufficient redundancy); The pipe network control agent can be equipped with an ambient temperature and humidity sensor 240, powered by the power storage and distribution unit 110 through the ambient temperature and humidity sensor power supply port M. The ambient temperature and humidity sensor 240 is installed in the expansion port of the pipe network application expansion terminal 130 of the hardware agent via the ambient temperature and humidity sensor data output and collection port 11. In the valve well (not shown) of the tap water supply network, temperature and humidity data collection has the following functions: (1) Ensure the safe operation of pipeline network equipment Preventing pipeline cracking: Low temperatures in winter (e.g., near freezing) can cause pipelines to freeze and expand. Real-time monitoring of well temperatures can provide early warnings, allowing insulation or dredging measures to prevent pipeline damage. Inhibit microbial growth: High temperatures or humid environments can easily accelerate the growth of bacteria and algae. Temperature and humidity data can guide disinfection and ventilation strategies to reduce the risk of water pollution; Reduce equipment corrosion: Abnormally high humidity may indicate leakage or condensation in the pipe. Combined with temperature data, the problem area can be located to reduce corrosion of metal parts. Optimize pipeline network operation and maintenance efficiency.

[0070] (2) Accurately locate the leakage point Abnormal temperature and humidity in the well (such as a sudden drop in local temperature) may indicate a pipeline rupture or leakage. Sensor data can be used to quickly locate the fault point and shorten repair time. Dynamic valve control: Based on changes in well temperature (such as pipe expansion caused by high temperatures in summer), remotely adjust valve opening or pump station pressure to balance pipeline pressure fluctuations.

[0071] (3) Improving water quality management capabilities Control disinfectant efficacy: Water temperature affects the effectiveness of residual chlorine disinfection. Well temperature data can help adjust disinfectant dosage to ensure that residual chlorine at the end of the pipe network meets the standard (e.g., ≥0.05 mg / L); Prevent algae growth: High temperature and high humidity environments can easily cause algae to grow. Temperature and humidity monitoring can guide regular pipe cleaning and optimize water treatment processes.

[0072] (4) Support energy saving and cost control Reduce energy consumption: Optimize pump station operation (e.g., reduce heating demand in winter) using well temperature data to reduce energy waste; Extend equipment life: Avoid accelerated aging of valves and pipelines caused by extreme temperature and humidity, and reduce maintenance and replacement costs.

[0073] (5) Emergency response and compliance management Warning of extreme weather risks: When the temperature in the well drops sharply or the humidity exceeds the standard, the system can automatically trigger an alarm and initiate emergency plans (such as pipe insulation or drainage); Meeting regulatory requirements: Temperature and humidity data are important for water quality compliance audits (e.g., National Standard for Drinking Water Quality, GB5749-2006), ensuring that water supply safety meets standards. Valve well temperature and humidity monitoring is a key link in the intelligent management of water supply networks. It can improve safety, reliability and economy, while providing data support for water quality assurance and emergency response.

[0074] The network control agent can be equipped with a liquid level sensor 250, powered by the power storage and distribution unit 110 through the liquid level sensor power supply port L. The data acquisition processor 120 collects the liquid level signal through the liquid level sensor data output and acquisition port 10, and after processing, it is combined with other data for transmission. In the valve well (not shown) of the tap water supply network, liquid level data collection has the following functions: (1) Real-time monitoring of pipeline network operation status Dynamically grasp water level changes: The liquid level sensor 250 collects water level data in the valve well in real time. In the rainy season, continuous heavy rain, snowmelt and other situations, water accumulates in the valve well.

[0075] Prevent abnormal situations: A sudden rise or drop in liquid level may indicate a pipe rupture or valve failure. Timely warning can reduce water waste and the risk of water supply interruption.

[0076] (2) Improve fault diagnosis and emergency response Quickly locate leakage points: Liquid level abnormalities (such as local water level drop) can help locate pipeline leakage locations and shorten repair time.

[0077] Automatically trigger the alarm: When the liquid level exceeds the preset range, the system automatically alarms and notifies the operation and maintenance personnel, and supports remote control of valve closure to prevent the accident from escalating.

[0078] (3) Reduce operation and maintenance costs Reduce the frequency of manual inspections: Automatic collection and remote monitoring of liquid level data replace traditional manual inspections, reducing labor costs while improving the frequency and accuracy of data collection.

[0079] Preventive maintenance: Analyze pipeline aging or leakage risks through liquid level data, and perform maintenance and replacement of equipment in advance to extend service life.

[0080] The intelligent body can be equipped with a smart manhole cover 270, which is powered by the power storage and distribution device 110 through the smart manhole cover power supply port J. The data acquisition processor 120 collects the smart manhole cover signal through the smart manhole cover output and acquisition port 8, and after processing, it is combined with other data for transmission. In the tap water supply network, the functions of the smart manhole cover are as follows: (1) Intelligent anti-theft and security protection Anti-theft alarm: integrated GPS / Beidou positioning and anti-disassembly device, which can immediately alarm and lock the location when illegally moved; Anti-fall design: Some manhole covers are equipped with double-layer structures or safety nets to prevent pedestrians from falling.

[0081] (2) Real-time monitoring and early warning Liquid level monitoring: Ultrasonic or pressure sensors (not shown) collect real-time water level data in the well to prevent pipeline leaks, waterlogging, or overflows; Environmental monitoring: Detecting parameters such as water temperature and gas concentration (such as methane and hydrogen sulfide) in the well to provide early warning of harmful gas accumulation or water pollution; Condition monitoring: Use tilt sensors (not shown) and vibration sensors (not shown) to monitor whether the manhole cover is abnormally opened, displaced, or tilted to prevent theft or damage.

[0082] (3) Emergency response and collaborative management Automatic linkage: When abnormal data triggers an alarm, the system automatically notifies the management department and links the drainage system to reduce the risk of waterlogging; Multi-department collaboration: Information sharing and collaborative processing among municipal administration, water affairs, transportation and other departments are achieved through the cloud platform.

[0083] The intelligent pipe network control entity can be equipped with a smart fire hydrant 260. Smart fire hydrant 260 is powered by the power storage distributor 110 through the smart fire hydrant power supply port K. The data acquisition processor 120 collects the smart fire hydrant signal through the smart fire hydrant data output and acquisition port 9. After processing, it is combined with other data for transmission. Smart fire hydrant 260 realizes intelligent management of water supply network through Internet of Things technology. It is of great value to urban safety and smart water construction. 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: (1) Improve fire emergency response efficiency Real-time water supply guarantee: Ensure fire hydrants are always available through water pressure and water volume monitoring to avoid rescue delays due to lack of water or insufficient water pressure during fires; Fast positioning and dispatch: With the integrated GPS / Beidou positioning module, the fire department can directly obtain the location of fire hydrants through the management platform, shortening the response time.

[0084] (2) Optimizing water management Anti-theft water use: Through smart locks, abnormal water use alarms and other functions, illegal water use can be accurately cracked down on, reducing water waste; Leakage control: Combine pressure sensors and flow data to identify leaks in the pipe network and reduce water supply losses.

[0085] (3) Reduce operation and maintenance costs Remote inspection replaces manual inspection: reduces the frequency of manual inspections, reduces labor costs, and improves data collection accuracy; Predictive maintenance: Based on data analysis, the risk of equipment aging or failure can be detected in advance to extend the service life.

[0086] (4) Supporting the construction of smart cities Data integration and collaboration: As a city IoT node, it collaborates with fire protection, municipal administration, and transportation systems to enhance urban safety and governance.

[0087] Implementation Method 6

[0088] In addition to being installed in water supply networks and various sensor devices and control equipment to complete corresponding functions, pipeline hydropower generation also has more application requirements in many applicable scenarios.

[0089] Pipeline hydropower generation is equipped with charging piles: In areas with stable water pressure difference and flow, and where the water flow velocity reaches a certain threshold, such as high-level water tanks, water plants, pump station outlets, pressure reducing valves and other pressure fluctuation areas, pipeline hydropower generation is equipped with charging piles to recycle the kinetic energy and excess pressure of the pipeline network and convert them into electrical energy to charge new energy vehicles, allowing the expansion of green energy utilization.

[0090] Figure 6 It is a structural diagram of a pipe network control intelligent body equipped with charging piles according to implementation mode 6.

[0091] Smart power generation and smart power supply are equipped with smart distribution boxes, leakage protection and power monitoring systems. The direct power supply mode is adopted to ensure stable pipeline flow and pressure, and the electricity is directly transmitted to the charging pile through the distribution box. In case of pipeline pressure fluctuations, energy storage equipment (such as battery packs) is installed to input stable power to the charging pile. It can also be combined with solar energy and wind energy for multi-energy complementarity to build an integrated system of "water, wind, light, storage and charging" to improve power supply stability. Although the embodiment 6 is used as an example for explanation, in fact, the embodiments 1-5 are the same. In the pipeline control intelligent body of the present invention, a hardware intelligent body and a software intelligent body and related application terminals are included; the software intelligent body includes a pipeline intelligent power generation module, an intelligent power supply module, an intelligent data acquisition and processing module, and an intelligent pipeline application expansion terminal; the hardware intelligent body includes a gate valve body (Figures 100A and 100B show the front and back of the gate valve body). The kinetic energy and residual pressure generated by the flow of fluid in the pipeline are utilized, and one of the gate valve, butterfly valve, expansion joint, and filter is used as a carrier to assemble a hydroelectric generator 140 to generate electricity, and the electrical energy is stored in a rechargeable battery pack. The start and close of the hydroelectric generator is controlled by the generator water inlet solenoid valve 150. When the battery pack needs to be charged, the solenoid valve 150 is driven to open, and the water flow drives the generator to start generating electricity. In a preferred embodiment, the generator battery valve not only controls the start and stop 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 is less than 20% charged, and adjusts the water volume to prepare to close the solenoid valve 150 when the battery pack is almost fully charged. The control instructions for controlling the operation of the solenoid valve can be issued by a control circuit, which can be installed on the solenoid valve 150 or in the smart power generation module. Figure 1-8 In the diagram, the intelligent power generation and power supply modules of the pipeline network are integrated into the power storage and distribution unit 110, the intelligent data acquisition and processing module is integrated into the data acquisition processor 120, and the intelligent pipeline network application expansion terminal is labeled as the pipeline network application expansion terminal 130. The power storage and distribution unit 110 includes a battery pack, a battery charge and discharge 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 applications, data transmission, data monitoring and operation and maintenance, and software / hardware control systems.

[0092] Back to Figure 6 ,like Figure 6 As shown, the intelligent body can be equipped with a charging station 280, which is powered by the power storage and distribution device 110 through the charging station power supply port 1. The data acquisition processor 120 collects the charging station 280 signal through the charging station data output and acquisition port 7, and after processing, it is combined with other data for transmission. Pipeline hydropower generation can also provide power for valve devices deployed in remote areas without mains power but requiring electrical actuation. The present invention has broad application prospects in industrial pipe network systems. Steel mills, chemical plants, paper mills, and other facilities have a large number of circulating water systems or industrial water pipe networks. The water flow in these pipe networks has high pressure and flow, and hydropower generation equipment can be installed to generate electricity, providing part of the power for industrial production, reducing the company's electricity costs and improving energy efficiency. In oil pipeline network applications, when there is a pressure difference and sufficient flow, a hydroelectric power generation device is installed at the appropriate location of the oil pipeline to convert the energy of the oil flow into electrical energy. This provides power for monitoring equipment and communication equipment along the pipeline, ensuring the safe operation of the pipeline and data transmission. In building water supply systems, hydroelectric power generation equipment is installed at the building's water supply riser or pressure reducing device, and the potential energy of water flowing from high to low is converted into electrical energy to power some low-power equipment in the building, such as electric lights, monitoring equipment, and elevator auxiliary equipment; Application of agricultural irrigation system: In the trunk pipe network or branch pipe network of large-scale agricultural irrigation, when the water flow has a certain pressure and flow, a hydroelectric power generation device is installed to convert the energy of irrigation water into electrical energy to power the water pumps, valve control and other equipment in the irrigation system, thereby improving the energy self-sufficiency rate of the irrigation system; In mountain irrigation system applications, in mountain agricultural irrigation, the terrain difference is utilized to install hydroelectric power generation devices on the pipes where irrigation water flows from high places to low places, providing electricity for irrigation equipment, farmland monitoring equipment, etc. on the mountain.

[0093] With the intelligent upgrade of pipeline hydropower generation, its adaptation to ecological and environmental protection, and the construction of a multi-energy complementary system, it will gradually shift to large-scale application. With policy support and technological breakthroughs, pipeline hydropower generation will eventually become a key player in the green energy system.

[0094] The configurations described in the above embodiments are merely examples of the contents of the present invention.

[0095] In the present invention, the relevant application ends include water quality meters, flow meters and / or electric pressure regulating valves, which are combined with intelligent algorithms and model predictions to achieve control of the pipeline network operation status, leakage location, pipe burst warning and energy consumption optimization.

[0096] In the present invention, the pipe network control intelligent body is equipped with a water quality meter, the power storage distributor supplies power to the water quality meter, and water is supplied 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, and 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 body.

[0097] In the present invention, the relevant application end includes a flow meter, and the 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 route and matched with the software intelligent body. The data is collected by the data acquisition processor of the software intelligent body, and flow abnormality prompts, alarms and measures are taken. At this time, a signal is transmitted to the pressure reducing valve to make a corresponding response, and a flow curve is made according to actual requirements to judge whether the flow is normal or abnormal, and a corresponding analysis report is issued.

[0098] In the present invention, the relevant application end includes an electric pressure regulating valve to realize real-time dynamic pressure control of the pipeline network. The power storage distributor supplies power to the pre-valve pressure sensor, post-valve pressure sensor and electric actuator of the electric pressure regulating valve respectively to complete time-sharing control, real-time control, remote control and stepless pressure control. The data acquisition processor collects the pre-valve pressure sensor signal and post-valve pressure sensor signal, and completes the dynamic control of the pipeline network pressure by controlling the electric pressure regulating valve according to the set target pressure. It also accumulates data in combination with flow data, automatically learns data features, optimizes the optimal pressure in different seasons and time periods, and completes automatic control.

[0099] In the present invention, the pipeline pressure is gradually reduced from high pressure to low pressure by controlling the electric pressure regulating valve. According to the changes in pressure and flow, combined with statistical probability analysis and coordinated staggered control analysis, it is determined whether there is leakage and the amount of leakage experienced, and the 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.

[0100] In the present invention, the intelligent body is equipped with an electric pressure regulating valve and a water supply boosting device, and the power storage distributor supplies power to the pressure sensor before the electric pressure regulating valve, the pressure sensor after the valve and the electric actuator of the electric pressure regulating valve respectively. In the present invention, the data acquisition processor collects pressure signals from the pre-valve pressure sensor, the post-valve pressure sensor and the water supply boosting equipment. 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, controls the pressure regulating valve to increase the opening, starts boosting, and delays according to the distance the pipeline pressure is transmitted, so that there is sufficient pressure and flow in the pipeline to meet the operation of the boosting equipment; when the water pressure at the most unfavorable point is met, the pressure sensor transmits the pressure signal to the data acquisition processor, controls the pressure regulating valve to reduce the regional pressure to a reasonable range, and achieves regional pressure balance.

[0101] The present invention also includes the control system of the intelligent power generation module and the intelligent power supply module, which collects various data from relevant sensors and power-demanding equipment, superimposes AI and algorithms based on applications, further processes and analyzes the data to form conclusion reports, provides real-time and uninterrupted various data services, and outputs standard, unified and comprehensive steady-state data, providing comprehensive data support for users' scheduling operations under different working conditions.

[0102] In the present invention, the pipeline application expansion end expands the data acquisition interface and the control interface at the pipeline application expansion end according to the increase in the demand for sensing applications. The sensing applications include at least one of temperature, liquid level, ambient temperature and humidity, displacement, hydroacoustics, smart fire hydrants, smart manhole covers, equipment status, and pipeline residual pressure recovery and power generation.

[0103] In the present invention, the structure of each embodiment can be combined with other known technologies. The structures of each embodiment can also be appropriately combined with each other. Part of the structure of each embodiment can be omitted or changed without departing from the scope of the present invention.

[0104] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0105] Those skilled in the art will appreciate that all or part of the steps of the above-mentioned method embodiments may be implemented by hardware related to program instructions, and the aforementioned program may be stored in a readable storage medium. When the program is executed, the program executes the steps of the above-mentioned method embodiments. The aforementioned storage medium includes various media that can store program codes, such as mobile storage devices, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0106] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as standalone products, they can also be stored on a readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This software product, stored on a storage medium, includes instructions for enabling a computer device (such as a personal computer, server, or network device) to execute all or part of the methods described in the various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as removable storage devices, ROM, RAM, magnetic disks, or optical disks.

[0107] In summary, the present invention has been described in detail with reference to specific embodiments. However, those skilled in the art will appreciate that various modifications and changes may be made thereto. As long as these modifications and changes do not depart from the purpose and spirit of the present invention, they shall fall within the scope of protection of the present invention, which is defined by the appended claims.

Claims

1. A pipe network control intelligent agent, characterized by: It includes a hardware intelligent body, a software intelligent body and related application terminals; the software intelligent body includes a pipeline intelligent power generation module, an intelligent power supply module, an intelligent data acquisition and processing module, and an intelligent pipeline application expansion terminal; the hardware intelligent body includes at least one gate valve body, which utilizes the kinetic energy and residual pressure generated by the flow of fluid in the pipeline network, and uses 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 store the electrical energy in a rechargeable battery pack. The starting and closing of the hydroelectric generator is controlled by the generator water inlet solenoid valve. When the battery pack needs to be charged, the solenoid valve is driven to open, and the water flow drives the generator to start generating electricity.

2. The pipe network control intelligent agent according to claim 1, characterized in that: The software intelligent body includes a power storage distributor, a data acquisition processor, and a pipe network application expansion terminal. The power storage distributor includes a battery pack, a battery charge and discharge monitoring and management system, and a power input / output control system. The data acquisition processor includes data acquisition, data storage, data processing, data analysis application, data transmission, data monitoring operation and maintenance, and software / hardware control system.

3. The pipe network control intelligent agent according to claim 2, characterized in that: The relevant application ends include water quality meters, flow meters and / or electric pressure regulating valves, which are combined with intelligent algorithms and model predictions to achieve control of the pipeline network operation status, leakage location, pipe burst warning and energy consumption optimization.

4. The pipe network control intelligent agent according to claim 3, characterized in that: The pipe network control intelligent body is equipped with a water quality meter, and 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 to work, the water supply solenoid valve receives a signal to open, and 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 body.

5. The pipe network control intelligent agent according to claim 3, characterized in that: The relevant application end includes a flow meter, and the 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 route and matched with the software intelligent body. The data is collected by the data acquisition processor of the software intelligent body, and flow abnormality prompts, alarms and measures are taken. At this time, a signal is transmitted to the pressure reducing valve to make a corresponding response, and a flow curve is made according to actual requirements to judge whether the flow is normal or abnormal, and a corresponding analysis report is issued.

6. The pipe network control intelligent agent according to claim 3, characterized in that: The relevant application end includes an electric pressure regulating valve to realize real-time dynamic pressure control of the pipeline network. The power storage distributor supplies power to the pre-valve pressure sensor, post-valve pressure sensor and electric actuator of the electric pressure regulating valve respectively to complete time-sharing control, real-time control, remote control and stepless pressure control. The data acquisition processor collects the pre-valve pressure sensor signal and post-valve pressure sensor signal, and completes the dynamic control of the pipeline network pressure by controlling the electric pressure regulating valve according to the set target pressure. It also accumulates data in combination with flow data, automatically learns data features, optimizes the optimal pressure in different seasons and time periods, and completes automatic control.

7. The pipe network control intelligent agent according to claim 6, characterized in that: By controlling the electric pressure regulating valve, the pipeline pressure is gradually reduced from high pressure to low pressure. According to the changes in pressure and flow, combined with statistical probability analysis, staggered control analysis is coordinated to determine whether there is leakage and the amount of leakage experienced, and set pressure and flow management red lines. When the monitoring indicators approach the management red lines, timely warnings are issued and measures are taken quickly.

8. The pipe network control intelligent agent according to claim 3, characterized in that: The intelligent body is equipped with an electric pressure regulating valve and water supply boosting equipment. The power storage distributor supplies power to the pressure sensor before and after the electric pressure regulating valve and the electric actuator of the electric pressure regulating valve. The data acquisition processor collects pressure signals from the pre-valve pressure sensor, post-valve pressure sensor and water supply boosting equipment. 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, controls the pressure regulating valve to increase the opening, starts boosting, and delays according to the distance the pipeline pressure is transmitted, so that there is sufficient pressure and flow in the pipeline to meet the operation of the boosting equipment; when the water pressure at the most unfavorable point is met, the pressure sensor transmits the pressure signal to the data acquisition processor, controls the pressure regulating valve to reduce the regional pressure to a reasonable range, and achieves regional pressure balance.

9. The pipe network control intelligent agent according to claim 2, characterized in that: It also includes the control systems of the intelligent power generation module and the intelligent power supply module, which collects various data from relevant sensors and equipment requiring power supply, superimposes AI and algorithms based on applications, further processes and analyzes the data to form conclusion reports, provides real-time and uninterrupted various data services, and outputs standard, unified and comprehensive steady-state data, providing comprehensive data support for users' scheduling operations under different working conditions.

10. The pipe network control intelligent agent according to claim 2, characterized in that: According to the increase in the demand for sensing applications, the pipeline network application expansion end expands the data acquisition interface and the control interface at the pipeline network application expansion end. The sensing applications include at least one of temperature, liquid level, ambient temperature and humidity, displacement, hydroacoustic, smart fire hydrants, smart manhole covers, equipment status, and pipeline network residual pressure recovery and power generation.

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