Intelligent air valve hydraulic assembly

Abstract

The application discloses a smart air valve hydraulic assembly, and belongs to the technical field of valve device safety, which comprises an air valve, a sensing device and a smart monitoring terminal, wherein the sensing device is arranged on a valve and / or the periphery of the valve and is connected with the smart monitoring terminal, and the smart monitoring terminal is connected with a power supply device. The air valve, the sensing device and the smart monitoring terminal are designed as an integrated hydraulic assembly, high-frequency transient parameter data acquisition can be realized, the smart monitoring terminal completes data acquisition and analysis processing, and the collected data and analysis results are selectively uploaded according to an uploading strategy; the smart monitoring terminal can analyze data by using an AI technology, identify water hammer risks and equipment health, and has the characteristics of low energy consumption.

Description

Technical Field

[0001] This invention belongs to the field of valve device safety technology, and more specifically, relates to a hydraulic component of an intelligent air valve. Background Technology

[0002] Key hydraulic components for the safe operation of long-distance water transfer include flow regulating and pressure regulating valves, check valves, air valves, and air tanks. Air valves are numerous, mostly installed in the field along pipelines, and frequently experience malfunctions such as jamming, blockage, and failure to release air, leading to pipeline leaks, water hammer pipe bursts, and air locks affecting water transfer efficiency.

[0003] To ensure the safety of long-distance water transfer systems, monitoring and early warning of the normal operation and health status of air valves (such as intelligent angle air valves and intelligent multi-functional air valves) during air intake, large-volume exhaust, throttling exhaust, and micro-exhaust are particularly important. In newly built and expanded long-distance water transfer projects, air valves, in addition to fulfilling their intake and exhaust functions, must also have online monitoring and control capabilities to improve system safety, water transfer efficiency, and intelligence, filling the gap in online monitoring and control of air valves in long-distance water transfer projects. Summary of the Invention

[0004] To address the problems of the aforementioned technologies, this invention discloses an intelligent air valve hydraulic component, which integrates the design, manufacturing, and application of an air valve, sensing device, actuator, and intelligent monitoring terminal. In addition to the traditional functions of a mechanical valve, it also has the function of real-time intelligent monitoring and control.

[0005] To achieve the above-mentioned technical objectives, the technical solution adopted by the present invention is as follows:

[0006] The intelligent air valve hydraulic assembly includes an air valve, a sensing device, and an intelligent monitoring terminal. The sensing device is installed on and / or around the valve and is connected to the intelligent monitoring terminal, which is connected to a power supply device.

[0007] Furthermore, the air valve includes an intelligent angle air valve and an intelligent multi-functional air valve.

[0008] Furthermore, the power supply device adopts a power supply method of solar power generation or pipeline residual pressure power generation.

[0009] Furthermore, the sensing device includes sensors, pressure gauges, and cameras.

[0010] Furthermore, the camera records the entire incident during the emergency, serving as the data basis for subsequent source tracing and analysis.

[0011] Furthermore, the intelligent monitoring terminal includes a processing module, a storage module, a data acquisition module, and a communication module. The sensing device is connected to the data acquisition module via a bus, and the actuator is connected to the processing module via a bus. The storage module, data acquisition module, and communication module are respectively connected to the processing module.

[0012] Furthermore, the acquisition module is implemented using a microcontroller and can acquire high-frequency transient parameters such as air valve pressure, water immersion, noise, and image data.

[0013] Furthermore, the storage module includes a storage chip and integrates simulation operation data of hydraulic models and equipment characteristic curves, as well as its upload strategy and monitoring data.

[0014] Furthermore, the processing module is implemented by a programmable logic controller.

[0015] Furthermore, the communication module supports wireless network and Ethernet fiber optic wired network transmission modes, and realizes data transmission according to the data upload strategy.

[0016] The beneficial effects of this invention are:

[0017] (1) In terms of data acquisition, it can realize the acquisition of high-frequency transient parameters and intelligently adopt the strategy of full-process fault recording and broadcasting according to the occurrence of faults or risky situations, as the data basis for subsequent source tracing analysis.

[0018] (2) In terms of data analysis, it supports Linux system, and can use pressure characteristic value method and AI technology to analyze effective data, identify water hammer risk and equipment health, and evaluate the effect of air valve on water hammer elimination;

[0019] (4) The system collects valve operation data and position pipeline operation parameters on the air valve body and applies them to the intelligent monitoring terminal. As an IoT terminal for edge computing, the data collection and processing work is decentralized to the intelligent monitoring terminal. According to the upload strategy, the collected data and analysis results are intelligently and selectively uploaded, reducing the operating load of the upper software platform and enabling access to a large number of distributed monitoring hydraulic components.

[0020] (5) The intelligent monitoring terminal adopts a low-energy design and optimization, with power as low as 5W or less, and can be deployed simply and flexibly without relying on mains power.

[0021] (6) Support intelligent monitoring terminals to supply power to sensing devices. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the deployment of the hydraulic components of the intelligent air valve in an embodiment of the present invention. Detailed Implementation

[0023] The present invention will be further described below with reference to specific embodiments. Unless otherwise specified, the raw materials and methods used in the embodiments of the present invention are commercially available materials and conventionally used methods in the art.

[0024] Example 1

[0025] like Figure 1 As shown, the intelligent air valve hydraulic component in this embodiment includes an air valve, a pressure gauge, a water immersion sensor, a noise sensor, a camera, and an intelligent monitoring terminal. The pressure gauge, water immersion sensor, noise sensor, and camera are located on and / or around the valve and are connected to the intelligent monitoring terminal, which is connected to a solar power supply device.

[0026] Air valves mainly include intelligent angle air valves and intelligent multi-functional air valves.

[0027] The intelligent monitoring terminal supports the Linux system and includes a processing module, a storage module, a data acquisition module, and a communication module. Sensing devices such as pressure gauges, water immersion sensors, noise sensors, and cameras (selected according to actual engineering needs) are connected to the data acquisition module via a bus. The storage module, data acquisition module, and communication module are respectively connected to the processing module.

[0028] The acquisition module is implemented using a microcontroller, which can acquire high-frequency transient parameters. It converts analog signals into digital signals at a frequency of 100-1000Hz per second, and intelligently adopts a full-process recording strategy when water hammer occurs, equipment fails, or pipelines are at risk of water hammer, as the data basis for subsequent source tracing analysis.

[0029] The storage module includes a storage chip, which can be configured with 2M~64M-bit flash memory chips to store historical data for more than 6 months. It also integrates hydraulic models, simulation operation data of equipment characteristic curves, as well as their upload strategies and monitoring data.

[0030] The processing module, implemented by a programmable logic controller (PLC), analyzes and judges the three-stage exhaust and intake states of the air valve, as well as faults such as jamming, blockage, and failure to exhaust. It compares hydraulic model simulation data and operational monitoring data to analyze and issue alarms for pipeline system safety. It can perform pressure characteristic value analysis, including maximum, minimum, average, and pressure change rate, to identify phenomena such as water hammer and air valve intake / exhaust. It also features AI-based image recognition: identifying water hammer and air valve intake / exhaust through waveform image features of the pressure change process, and assessing the effectiveness of water hammer elimination. Finally, it uses AI semantic recognition: dividing the pressure into thousands of fixed intervals (similar to thousands of characters), converting the pressure change process into a temporal combination of pressure intervals (similar to sentences), and employing semantic recognition technology to identify water hammer and air valve intake / exhaust, assessing the effectiveness of water hammer elimination.

[0031] The communication module supports wireless network and Ethernet fiber optic wired network transmission methods, supports GPRS / 4G / MBUS / RS485 communication methods and protocols, and implements data transmission according to data upload strategy.

[0032] After data collection, analysis, and processing, the data is uploaded to the upper-layer application platform and / or cloud platform via wireless or wired communication methods of the Internet of Things (IoT) for platform or graphical topology presentation, alarms and notifications, and comprehensive management.

[0033] Example 2

[0034] Based on equipment operating characteristic parameters and hydraulic model simulation operating parameters (thresholds), data such as pressure, water immersion, noise, camera images, current signals from microswitches or other trigger switches, and switching signal conversion data are collected. Data analysis is then used to determine the working status and health status (including abnormalities) of the air valve. The main sensing equipment and its functions in this embodiment are detailed in Table 1.

[0035] Table 1

[0036]

[0037] The data analysis and hydraulic model verification methods for pipeline safety and equipment health include the following:

[0038] (1) Comparison of pressure monitoring values ​​and hydraulic model analysis data (pressure) (-10m~1.5PN):

[0039] During normal operation, the monitored pressure is consistent with the steady-state hydraulic model calculation; during air intake, the negative pressure value is consistent with the transient hydraulic model calculation, and the air intake volume can be calculated from the duration of the negative pressure; during high-speed exhaust, the monitored pressure is consistent with the transient hydraulic model calculation, and the exhaust volume can be calculated from the duration of the pressure; during throttling exhaust, the monitored pressure is consistent with the transient hydraulic model calculation, and the exhaust volume can be calculated from the duration of the pressure; when the float is closed, the pressure fluctuation curve is monitored; during micro-exhaust, the pressure fluctuation curve is monitored to verify normal operation and record the number of exhausts.

[0040] (2) When the monitored pressure is more than 1.5 times higher than the main pipeline pressure, it shall be used as the basis for judging water hammer.

[0041] (3) When the water immersion switch intermittently turns on and off, it indicates that the air valve is working normally and the micro-venting is in a normal state. At this time, the noise sensor should detect the intermittent micro-venting noise, indicating that the air valve is working normally.

[0042] (4) When the water immersion switch is always in the open state (the valve is filled with air) and there is no exhaust noise, it indicates that the air valve has an exhaust blockage fault and the small exhaust hole is blocked.

[0043] (5) When the water immersion switch is always in the open state (the valve is filled with air), but there is a continuous slight exhaust noise, it indicates that the air valve has closed before the air is completely exhausted when a large amount of air is being exhausted, and the slight exhaust is continuing.

[0044] (6) When the water immersion switch is continuously in the on state (the valve is filled with water) and there is no exhaust noise, the air valve has a leakage fault if the leak is identified by the photo.

[0045] (7) When the water immersion switch is always in the open state (the valve is filled with air), the exhaust pressure suddenly changes (the change amount is greater than 100%), indicating that the air valve has a blow-blocking fault.

[0046] As needed for the project, equipment health monitoring and pipeline operation status can be monitored.

[0047] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. A smart air valve hydraulic assembly, characterized by, The air valve, sensing device and intelligent monitoring terminal are included, the sensing device is arranged on the valve and / or periphery of the valve and connected with the intelligent monitoring terminal, the intelligent monitoring terminal is connected with power supply device; the sensing device includes camera, the camera is installed on the pipe wall, is used for recording and broadcasting in danger, and the image data is analyzed by combining AI technology to identify fault type; the sensing device includes sensor, pressure gauge, the sensor includes water immersion sensor and noise sensor; the intelligent monitoring terminal includes processing module, storage module, acquisition module and communication module, the acquisition module selects single-chip microcomputer to realize, can realize high-frequency transient parameter acquisition, converts analog signal into digital signal through the frequency of 100-1000Hz per second, and the acquisition includes air valve pressure, water immersion state, noise and the picture data shot by the camera; the storage module is integrated with simulation operation data of hydraulic model and air valve equipment characteristic curve, and also stores data upload strategy; the processing module is realized by programmable logic controller, can analyze the acquisition data and simulation operation data by pressure characteristic value method and AI technology, identify water hammer risk, evaluate the elimination effect of air valve on water hammer, and selectively upload the acquisition data and analysis results according to the data upload strategy, realize edge computing; the power of the intelligent monitoring terminal is not more than 5W; It also includes pipeline safety, equipment health data analysis and hydraulic model verification method, including the following steps: S1, the comparison of pressure monitoring value and hydraulic model analysis data (pressure) (-10m~1.5PN): when running normally, the monitoring pressure is consistent with the steady-state hydraulic model calculation; when inhaling, the negative pressure value is consistent with the transient hydraulic model calculation, and the suction amount is calculated by the negative pressure duration; when high-speed exhaust, the monitoring pressure is consistent with the transient hydraulic model calculation, and the exhaust amount is calculated by the pressure duration; when throttling exhaust, the monitoring pressure is consistent with the transient hydraulic model calculation, and the exhaust amount is calculated by the pressure duration; when the float ball is closed, the fluctuation curve of the monitoring pressure is recorded; when the monitoring pressure fluctuation curve is verified, the normal work is recorded, and the exhaust frequency is recorded; S2, when the monitoring pressure is higher than the main pipeline pressure by 1.5 times or more, as the basis for judging water hammer; S3, when the water immersion switch appears intermittent on and off, it shows that the air valve is working normally, and the trace exhaust is in normal state; at this time, the noise sensor should detect the intermittent trace exhaust noise, which shows that the air valve is working normally; S4, when the water immersion switch is always in the off state (the valve is filled with air), and there is no exhaust noise, it shows that the air valve has exhaust blowout failure and the trace exhaust hole is blocked; S5, when the water immersion switch is always in the off state (the valve is filled with air), but there is continuous trace exhaust noise, it shows that the air valve has not been closed when a large amount of exhaust is performed, and the trace exhaust is continuously performed; S6, when the water immersion switch is continuously in the on state (the valve is filled with water), and there is no exhaust noise, whether the air valve has a leakage failure is identified by the photo. S7, when the water immersion switch is always in the off state (valve is empty air), the exhaust pressure mutation (mutation greater than 100%), indicating that the air valve blow clog failure.

2. The smart air valve hydraulic assembly of claim 1, wherein, The air valve includes an intelligent angle air valve and an intelligent multifunctional air valve.

3. The smart air valve hydraulic assembly of claim 1, wherein, The power supply device adopts a power supply mode of solar power generation or pipeline residual pressure power generation.

4. The smart air valve hydraulic assembly of claim 1, wherein, The sensing device is connected with the acquisition module through a bus, the actuator is connected with the processing module through the bus, and the storage module, the acquisition module and the communication module are connected with the processing module respectively.

5. The smart air valve hydraulic assembly of claim 1, wherein, The storage module includes a storage chip and integrates simulation operation data of a hydraulic model and a device characteristic curve, uploading strategy and monitoring data.

6. The smart air valve hydraulic assembly of claim 1, wherein, The communication module supports wireless network and Ethernet optical fiber wired network transmission modes, and realizes data transmission according to the data uploading strategy.

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