Secondary water supply tail end pressure balance edge computing AI intelligent gateway

Abstract

The invention discloses a secondary water supply tail end pressure balance edge computing AI intelligent gateway, and relates to the technical field of secondary water supply. The secondary water supply tail end pressure balance edge calculation AI intelligent gateway comprises a data acquisition and transmission module, an edge calculation and intelligent analysis module and a control instruction generation and execution module, and the secondary water supply tail end pressure balance edge calculation AI intelligent gateway disclosed by the invention brings significant improvement in multiple aspects for a secondary water supply system; in the aspect of pressure balance performance, the terminal pressure can be accurately monitored and dynamically regulated in real time by means of advanced edge computing power and an intelligent algorithm, pressure change can be effectively predicted and measures can be taken in advance by continuously analyzing a large amount of pressure data and a water consumption trend, and the fluctuation range of the terminal pressure is strictly controlled within an extremely small range. And the pressure can be stabilized within + / -0.01 MPa of a set pressure value, so that users on all floors can enjoy stable and sufficient water pressure at any time, and inconvenience in water use caused by pressure fluctuation is eliminated.

Description

Technical Field

[0001] The present invention relates to the technical field of secondary water supply, and particularly to an edge computing AI intelligent gateway for the pressure balance at the end of secondary water supply. Background Art

[0002] In the process of modern urban construction, the secondary water supply system is a key link to ensure the stable supply of domestic water for residents, and its importance is self-evident. However, traditional secondary water supply technologies have many insurmountable defects in the control of end pressure balance.

[0003] Previous water supply systems mostly relied on manual experience or simple timing control mechanisms to adjust the operation of water pumps and the pressure of pipe networks. For example, during peak water usage periods, due to the inability to accurately predict the sharp increase in water demand, the water pressure at the end users is often insufficient, and in high-rise buildings, problems such as small water flow and intermittent water supply even occur, seriously affecting the normal life of residents. While during low water usage periods, due to the lack of intelligent control means, the water pumps continue to operate at high load, causing a large amount of energy waste and increasing the water supply cost.

[0004] Although some existing systems have introduced automated control devices, in a complex and changeable water usage environment, these devices often only perform simple on-off or speed regulation operations based on a single pressure threshold. They are difficult to comprehensively consider factors such as the differences in water usage patterns at different times, the changes in the hydraulic characteristics of pipe networks, and the performance decay of water pumps, resulting in frequent and large fluctuations in the end pressure. This not only reduces the user's water usage experience but also accelerates the wear and aging of water supply equipment, shortens the service life of the equipment, and increases the frequency and cost of equipment maintenance.

[0005] With the continuous expansion of the urban scale, the increasing number of high-rise buildings, and the continuous improvement of residents' requirements for water quality, the deficiencies of traditional secondary water supply technologies in the control of end pressure balance have become more prominent. There is an urgent need for a more intelligent, efficient, and stable solution to meet the water supply needs of modern cities. Summary of the Invention

[0006] The purpose of the present invention is to solve at least one of the technical problems existing in the prior art, and to provide an edge computing AI intelligent gateway for the pressure balance at the end of secondary water supply, which can solve the problems in the background art.

[0007] To achieve the above purpose, the present invention provides the following technical solution: An edge computing AI intelligent gateway for the pressure balance at the end of secondary water supply, comprising a data acquisition and transmission module, an edge computing and intelligent analysis module, and a control instruction generation and execution module. The data acquisition and transmission module: At each key position in the secondary water supply system, including the user ends on different floors, the branch nodes of the pipe network, and the water pump outlets, high-precision pressure sensors are carefully arranged.

[0008] Edge Computing and Intelligent Analysis Module: A high-performance edge computing processor is installed inside the gateway, which has powerful data processing capabilities and adopts an intelligent algorithm combining the Long Short-Term Memory Network (LSTM) and the Particle Swarm Optimization Algorithm (PSO).

[0009] Control Instruction Generation and Execution Module: According to the results of the edge computing and intelligent analysis module, control instructions are accurately generated. When it is predicted that the end pressure will drop, according to the pre-set control strategy, the increased rotational speed and the number of pumps to be started, as well as the opening degree of the valve to be adjusted, are calculated for the water pump.

[0010] Preferably, in the data acquisition and transmission module, the sensor adopts advanced micro-electromechanical technology, which can keenly capture the subtle changes in pressure to ensure the accuracy and reliability of the data.

[0011] The accuracy of the data acquisition and transmission module can reach ±0.001 MPa, and the resolution is 0.0001 MPa, which can meet the requirements for accurate monitoring of the end pressure; the collected data is transmitted to the gateway through NB-IOT wireless communication technology.

[0012] The NB-IOT technology has the characteristics of low power consumption, wide coverage, and high reliability. Even in a complex building environment, it can ensure stable data transmission, avoid data loss or delay, and the transmission frequency can be flexibly set according to actual needs. It can be increased to once a minute during the peak water consumption period and appropriately reduced to once every ten minutes during the stable period.

[0013] Preferably, the LSTM network can effectively process time series data. By learning the historical pressure data, it can capture the periodic and trend changes in the water usage pattern.

[0014] The PSO algorithm optimizes the parameters of the LSTM to improve the prediction accuracy and convergence speed of the model.

[0015] Preferably, in the control instruction generation and execution module, when it is predicted that the pressure will drop by 0.05 MPa in the next 10 minutes, the system will accurately calculate according to the characteristics of the pipe network and the performance curve of the water pump that the rotational speed of the water pump needs to be increased by 10%, and the standby pump will be started. At the same time, the opening degree of the valve in the relevant pipe section will be increased by 15% to ensure the stability of the end pressure.

[0016] Preferably, the control instructions of the control instruction generation and execution module are transmitted to the water pump and valve controllers through industrial Ethernet or dedicated control cables to achieve precise control of the water supply equipment. After receiving the instructions, the controller completes the action response in an extremely short time to ensure that the system can adapt to the changes in water usage demand in a timely manner.

[0017] Compared with the prior art, the beneficial effects of the present invention are:

[0018] 1. The AI intelligent gateway for edge computing of the end - point pressure balance in secondary water supply. The AI intelligent gateway for edge computing of the end - point pressure balance in secondary water supply of the present invention brings significant improvements in many aspects to the secondary water supply system. In terms of pressure balance performance, with the help of advanced edge computing capabilities and intelligent algorithms, it can accurately monitor and dynamically regulate the end - point pressure in real - time. By continuously analyzing a large amount of pressure data and water - usage trends, it can effectively predict pressure changes and take measures in advance, strictly controlling the amplitude of end - point pressure fluctuations within an extremely small range, usually stable within ±0.01 MPa of the set pressure value. This greatly ensures that users on each floor can enjoy stable and sufficient water pressure at any time, completely eliminating the inconvenience of water use caused by pressure fluctuations, significantly improving user satisfaction with water use and quality of life. At the same time, it effectively avoids potential damage to water - using equipment caused by unstable water pressure and extends the service life of the equipment.

[0019] 2. The AI intelligent gateway for edge computing of the end - point pressure balance in secondary water supply. From the perspective of energy conservation and consumption reduction, based on a deep understanding of the water supply system and intelligent control strategies, the gateway can accurately adjust the pump speed, the number of pumps in operation, and the valve opening according to the actual water - usage demand. During the low - water - usage period, it can reasonably reduce the operating power of the equipment to avoid unnecessary energy consumption; during the peak period, it optimizes the collaborative working mode of the equipment to ensure efficient water supply. Through actual application verification, compared with traditional control methods, the present invention can achieve a 20% - 30% reduction in energy consumption, greatly reducing the operating cost of the secondary water supply system, helping the urban water supply industry move towards a green and energy - saving development path, and having important economic and environmental benefits.

[0020] 3. The AI intelligent gateway for edge computing of the end - point pressure balance in secondary water supply. In terms of adaptability and expandability, the gateway adopts a highly modular and configurable design concept. Whether it is a secondary water supply system of different scales and complexities such as small residential communities, large commercial complexes, or complex industrial parks, by simply adjusting relevant parameters and conveniently integrating existing equipment, it can quickly achieve efficient and stable operation. Moreover, with the subsequent upgrade, transformation, or function expansion of the water supply system, such as adding new water - supply areas, replacing new pumps, etc., the gateway can easily handle it. By software upgrade or a small amount of hardware expansion, it can meet new requirements without large - scale reconstruction of the system architecture, greatly reducing the initial investment and later maintenance cost of the system, providing a flexible and economical technical solution for water supply enterprises, and having broad application prospects and promotion value in the field of secondary water supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention will be further described below with reference to the drawings and embodiments:

[0022] Figure 1 It is a schematic diagram of the data structure of the remote pressure gauge based on the NB - IoT protocol for the present invention;

[0023] Figure 2 Schematic diagram of the end - user pressure data curve collected for the present invention;

[0024] Figure 3 Schematic diagram of the flow rate of the present invention;

[0025] Figure 4 Schematic diagram of the pump - starting data and characteristic curve of the present invention;

[0026] Figure 5 Schematic diagram of the control logic and technical implementation of the present invention;

[0027] Figure 6 Schematic diagram of the flow rate and pressure trend curve of the present invention;

[0028] Figure 7 Schematic diagram of the energy - saving interval corresponding before and after the transformation of the present invention;

[0029] Figure 8 Schematic diagram of the flow rate - pressure trend curve of the present invention;

[0030] Figure 9 Schematic diagram of the statistics of the pressure at different flow rates and the pressure ratio after transformation of the present invention;

[0031] Figure 10 Schematic diagram of the energy - saving ratio obtained by comparing before and after the transformation according to the actual measurement of the present invention. Detailed implementation manners

[0032] This part will describe in detail the specific embodiments of the present invention. The preferred embodiments of the present invention are shown in the drawings. The function of the drawings is to supplement the description in the text part of the specification, enabling people to intuitively and vividly understand each technical feature and the overall technical solution of the present invention. However, it should not be construed as a limitation on the protection scope of the present invention.

[0033] In the description of the present invention, it should be understood that for the orientation description, such as the orientation or positional relationship indicated by up, down, front, back, left, right, etc., is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation on the present invention.

[0034] In the description of the present invention, greater than, less than, exceeding, etc. are understood as not including the number itself, and above, below, within, etc. are understood as including the number itself. If there is a description of first and second, it is only for the purpose of distinguishing technical features and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features or implicitly indicating the sequence relationship of the indicated technical features.

[0035] In the description of the present invention, unless otherwise clearly defined, terms such as "setting", "installation", "connection", etc. should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific content of the technical solution.

[0036] Please refer to Figure 1-10 , the present invention provides a technical solution: a secondary water supply end pressure balance edge computing AI intelligent gateway, including a data acquisition and transmission module, an edge computing and intelligent analysis module, and a control instruction generation and execution module;

[0037] Data acquisition and transmission module: At each key position in the secondary water supply system, including the user ends on different floors, the branch nodes of the pipe network, and the pump outlets, etc., high-precision pressure sensors are carefully arranged;

[0038] For the data acquisition and transmission module, these sensors adopt advanced microelectromechanical technology, can keenly capture the subtle changes in pressure, and ensure the accuracy and reliability of the data;

[0039] In an embodiment, its accuracy can reach ±0.001 MPa, and the resolution is 0.0001 MPa, which can meet the requirements for accurate monitoring of the end pressure; the collected data is transmitted to the gateway through NB-IOT wireless communication technology;

[0040] NB-IOT technology has the characteristics of low power consumption, wide coverage, and high reliability. Even in a complex building environment, it can ensure stable data transmission, avoid data loss or delay, and the transmission frequency can be flexibly set according to actual needs. It can be increased to once per minute during peak water usage periods and appropriately reduced to once per ten minutes during stable periods, which can not only ensure the timeliness of the data but also reduce the energy consumption of the equipment;

[0041] Edge computing and intelligent analysis module: A high-performance edge computing processor is installed inside the gateway, which has powerful data processing capabilities, and an intelligent algorithm combining a long short-term memory network (LSTM) and a particle swarm optimization algorithm (PSO) is adopted;

[0042] The LSTM network can effectively process time series data. By learning historical pressure data, it can capture the periodic and trend changes in water usage patterns;

[0043] The PSO algorithm optimizes the parameters of the LSTM to improve the prediction accuracy and convergence speed of the model;

[0044] Example: After processing one week's worth of pressure data, the model can accurately predict the pressure change trends at different time periods (such as the morning and evening rush hours on weekdays, the whole day on weekends, etc.). The prediction error is controlled within ±0.005 MPa. At the same time, this module can also perform real-time analysis on the collected pressure data to judge the operating status of the current system, such as whether there is leakage, whether the water pump is abnormal, etc. By establishing multi-dimensional judgment criteria such as the pressure change rate threshold and the pressure fluctuation range threshold, once the data exceeds the normal range, an alarm signal is immediately triggered, and fault diagnosis and analysis are carried out to determine the location of the problem and the possible causes;

[0045] Control instruction generation and execution module: According to the results of the edge computing and intelligent analysis module, accurately generate control instructions. When it is predicted that the end pressure will drop, according to the pre-set control strategy, calculate the increased speed and the number of pumps to be started for the water pump, as well as the opening degree to be adjusted for the valve;

[0046] Example: If it is predicted that the pressure will drop by 0.05 MPa within the next 10 minutes, the system will accurately calculate according to the characteristics of the pipe network and the performance curve of the water pump that the speed of the water pump needs to be increased by 10%, and the standby pump will be started. At the same time, the opening degree of the valves in the relevant pipe sections will be increased by 15% to ensure the stability of the end pressure;

[0047] The control instructions of the control instruction generation and execution module are transmitted to the water pump and valve controllers through industrial Ethernet or special control cables to achieve precise control of the water supply equipment. After receiving the instructions, the controller completes the action response within a very short time (generally not exceeding 1 second) to ensure that the system can promptly adapt to the changes in water demand.

[0048] Furthermore, the secondary water supply end pressure balance edge computing AI intelligent gateway of the present invention brings significant improvements in many aspects to the secondary water supply system. In terms of pressure balance performance, with the help of advanced edge computing capabilities and intelligent algorithms, it can perform real-time and precise monitoring and dynamic regulation of the end pressure. By continuously analyzing a large amount of pressure data and water usage trends, it can effectively predict pressure changes and take measures in advance, strictly controlling the end pressure fluctuation range within an extremely small range, usually stabilizing within ±0.01 MPa of the set pressure value. This greatly ensures that users on each floor can enjoy stable and sufficient water pressure at any time, completely eliminating the inconvenience of water use caused by pressure fluctuations, significantly improving user satisfaction with water use and quality of life, and at the same time effectively avoiding potential damage to water use equipment caused by unstable water pressure and extending the service life of the equipment;

[0049] Furthermore, from the perspective of energy conservation and consumption reduction, based on a deep understanding of the water supply system and intelligent control strategies, the gateway can accurately adjust the pump speed, the number of pumps in operation, and the valve opening according to the actual water demand. During the low water consumption period, it can reasonably reduce the operating power of the equipment and avoid unnecessary energy consumption. During the peak period, it optimizes the collaborative working mode of the equipment to ensure efficient water supply. Through actual application verification, compared with the traditional control method, the present invention can achieve a 20%-30% reduction in energy consumption, greatly reducing the operating cost of the secondary water supply system and helping the urban water supply industry move towards a green and energy-saving development path, with important economic and environmental benefits.

[0050] Furthermore, in terms of adaptability and scalability, the gateway adopts a highly modular and configurable design concept. For secondary water supply systems of different scales and complexities, such as small residential communities, large commercial complexes, or complex industrial parks, by simply adjusting relevant parameters and conveniently integrating existing equipment, efficient and stable operation can be quickly achieved. Moreover, with the subsequent upgrade, transformation, or functional expansion of the water supply system, such as adding new water supply areas or replacing new pumps, the gateway can easily handle it. By software upgrade or a small amount of hardware expansion, new requirements can be met without large-scale reconstruction of the system architecture, greatly reducing the initial investment and later maintenance cost of the system, providing a flexible and economical technical solution for water supply enterprises, and having broad application prospects and promotion value in the field of secondary water supply.

[0051] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present invention within the knowledge scope of those of ordinary skill in the art.

Claims

1. The AI intelligent gateway for calculating the pressure balance at the end of secondary water supply includes a data collection and transmission module, an edge computing and intelligent analysis module, and a control instruction generation and execution module, and is characterized in that: The data acquisition and transmission module: High-precision pressure sensors are carefully arranged at various key positions in the secondary water supply system, including the user terminals on different floors, the branch nodes of the pipe network, and the pump outlets. The edge computing and intelligent analysis module: A high-performance edge computing processor is installed inside the gateway, which has powerful data processing capabilities. An intelligent algorithm combining the long short-term memory network (LSTM) and the particle swarm optimization algorithm (PSO) is adopted. The control instruction generation and execution module: According to the results of the edge computing and intelligent analysis module, control instructions are accurately generated. When it is predicted that the end pressure will drop, according to the pre-set control strategy, the increased speed and the number of pumps to be started, as well as the opening degree of the valve to be adjusted, are calculated for the pump.

2. The secondary water supply end pressure balance edge calculation AI intelligent gateway according to claim 1, characterized in that: For the data acquisition and transmission module, the sensor adopts advanced microelectromechanical technology, which can sensitively capture the subtle changes in pressure to ensure the accuracy and reliability of the data. The accuracy of the data acquisition and transmission module can reach ±0.001 MPa, and the resolution is 0.0001 MPa, which can meet the need for accurate monitoring of the end pressure. The collected data is transmitted to the gateway through NB-IoT wireless communication technology. The NB-IoT technology has the characteristics of low power consumption, wide coverage, and high reliability. Even in a complex building environment, it can ensure stable data transmission, avoid data loss or delay, and the transmission frequency can be flexibly set according to actual needs. It can be increased to once a minute during the peak water consumption period and appropriately reduced to once every ten minutes during the stable period.

3. The AI intelligent gateway for calculating the pressure balance edge at the end of secondary water supply according to claim 1, characterized in that: The LSTM network can effectively process time series data. By learning the historical pressure data, it captures the periodic and trend changes in the water use pattern. The PSO algorithm optimizes the parameters of the LSTM to improve the prediction accuracy and convergence speed of the model.

4. The secondary water supply end pressure balance edge calculation AI intelligent gateway according to claim 1, characterized in that: For the control instruction generation and execution module, when it is predicted that the pressure will drop by 0.05 MPa in the next 10 minutes, the system will accurately calculate according to the pipe network characteristics and the pump performance curve that the pump speed needs to be increased by 10%, and the standby pump will be started. At the same time, the opening degree of the relevant pipe section valve will be increased by 15% to ensure the stability of the end pressure.

5. The secondary water supply end pressure balance edge calculation AI intelligent gateway according to claim 1, characterized in that: The control instructions of the control instruction generation and execution module are transmitted to the pump and valve controllers through industrial Ethernet or dedicated control cables to achieve precise control of the water supply equipment. After receiving the instructions, the controller completes the action response in an extremely short time to ensure that the system can promptly adapt to the changes in water use demand.

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