Regional pipeline gas leakage monitoring device based on Internet of Things technology

Abstract

The utility model discloses a regional pipeline gas leakage monitoring device based on the Internet of Things technology, and the device comprises a sensor module which is used for obtaining pressure data and flow data in a regional pipe network; the acquisition module is connected with the sensor module and is used for acquiring the pressure data and the flow data from the sensor module; the communication system is used for uploading the pressure data and the flow data in the acquisition module to a cloud platform; the cloud platform is used for analyzing the pressure data and the flow data to obtain an analysis result; and the control system is used for obtaining the analysis result from the cloud platform and controlling the electric ball valve located at the inlet of the regional pipe network to be closed only when the analysis result is leakage, or actively controlling the electric ball valve located at the inlet of the regional pipe network to be closed within a set time period according to the time period set by a user.

Description

Technical Field

[0001] The utility model belongs to the technical field of pipeline gas leakage detection, and specifically relates to a regional pipeline gas leakage monitoring device based on Internet of Things technology. Background Art

[0002] With the acceleration of the urbanization process, the coverage of gas pipe networks is constantly expanding, and the safety problem of gas leakage is becoming increasingly prominent. The existing technologies for detecting gas pipe network leakage are mainly realized through the following technical means:

[0003] (1) Using a gas leak detector, that is, an instrument specially used for detecting gas leakage;

[0004] (2) Using pressure monitoring, by monitoring the pressure change of the gas pipe network to detect leakage;

[0005] (3) Detecting specific components of gas through a gas detection sensor;

[0006] (4) Judging whether there is leakage by analyzing the change of gas flow.

[0007] Most of the above existing gas leakage detection methods focus on long-distance medium and high-pressure gas transmission pipelines, and rely on manual inspections or single detection equipment, resulting in problems such as detection blind spots and poor timeliness. There is a lack of specific and real-time monitoring equipment systems or methods for regional gas pipe networks such as non-residential users, residential community courtyards, and risers.

[0008] Therefore, there is an urgent need for a gas leakage monitoring mechanism for regional gas pipe networks that can achieve real-time and comprehensive monitoring. Summary of the Utility Model

[0009] Purpose of the utility model: To solve the problems of insufficient real-time performance, detection blind spots, low leak detection accuracy, and high detection costs existing in the existing gas leakage detection methods, the utility model proposes a regional pipeline gas leakage monitoring device based on Internet of Things technology, which realizes intelligent monitoring and control of gas leakage by real-time monitoring of pipeline pressure and flow data and combining cloud computing technology.

[0010] Technical solution: A regional pipeline gas leakage monitoring device based on Internet of Things technology, comprising:

[0011] An electric ball valve, located at the inlet of the regional pipe network, for opening or closing the regional pipe network;

[0012] A sensor module, used to obtain the current pressure data and current flow data in the regional pipe network;

[0013] An acquisition module, connected to the sensor module, for obtaining the current pressure data and current flow data from the sensor module;

[0014] A communication module for uploading the current pressure data and current flow data in the acquisition system to the cloud platform;

[0015] A cloud platform for comparing the current pressure data, current flow data with the set abnormal alarm value to obtain an analysis result;

[0016] A control module for obtaining the analysis result from the cloud platform and controlling the electric ball valve to close only when the final analysis result is leakage, or for actively controlling the electric ball valve to close within the set time period according to the time period set by the user.

[0017] Furthermore, the sensor module includes a pressure transmitter.

[0018] Furthermore, the sensor module further includes a flowmeter.

[0019] Furthermore, an electromagnetic cut-off valve is further included. The electromagnetic cut-off valve is located at the inlet of the regional pipe network and serves as a backup device for the electric ball valve only when the electric ball valve fails.

[0020] Furthermore, the communication module is an Internet of Things remote transmission device.

[0021] Furthermore, the acquisition module, communication module and control module are integrated in a pressure regulating cabinet.

[0022] Furthermore, a power supply module is further included. The power supply module includes a 220VAC to 24VDC switching power supply. One end of the power supply module is connected to an external power supply, and the other end provides 24VDC power for the acquisition module, communication module and control module.

[0023] Furthermore, the acquisition module includes a PLC and a signal safety isolation barrier. The current pressure data and current flow data from the sensor module are connected to the signal safety isolation barrier through a terminal block and then input to the PLC.

[0024] Furthermore, the communication module includes 3 Ethernet ports, which communicate with the acquisition module, communicate with the cloud platform, and communicate with the on-site debugging computer respectively.

[0025] Advantageous effects: Compared with the prior art, the present utility model has the following advantages:

[0026] (1) By introducing Internet of Things technology, the utility model can monitor gas leakage more efficiently compared with traditional single monitoring methods. Different from traditional methods that only monitor the pressure or flow data of gas pipe networks, the utility model can simultaneously monitor these two types of data in real time. When it is determined that gas leakage occurs in the regional gas pipe network, it will automatically perform the operation of closing the electric ball valve to prevent continuous leakage and send out an alarm notification, thus significantly improving the timeliness and safety of gas leakage detection;

[0027] (2) The utility model allows the system to automatically close the electric ball valve at the inlet of the regional pipe network during specific periods preset by the user. This operation will form a closed circulation system for the regional pipe network, and then the system will collect and analyze the pressure and flow data transmitted from the site to detect whether there is leakage in the regional gas pipe network. In this way, the system can ensure that the monitored data is true and reliable, making the pressure detection data in the pipe network more representative and effectively avoiding detection errors caused by insufficient sensitivity. At the same time, the monitoring of flow signals helps to eliminate the interference of normal gas usage operations on the leakage detection results, further improving the accuracy of leakage detection;

[0028] (3) The utility model integrates Internet of Things remote transmission devices, control modules, and sensor modules in the pressure regulating cabinet in front of the regional pipe network. The installation of these devices is protected by the shell of the pressure regulating cabinet, ensuring their stable operation even in harsh environments. The Internet of Things remote transmission device can not only remotely control the control module manually and automatically but also receive data from the sensor module in real time. The system can automatically detect the gas leakage situation in the regional pipe network and give an alarm in a timely manner. This not only improves the degree of automation of monitoring but also reduces the dependence on manual operations, enabling maintenance personnel to more effectively detect and handle potential hidden dangers at the user end;

[0029] (4) The automatic control of the utility model can respond quickly in case of emergencies, minimizing the losses and impacts caused by leakage accidents. The cloud platform can regularly update existing algorithms and existing models to adapt to new data analysis requirements and improve the accuracy of leakage detection;

[0030] (5) By installing sensors at key nodes, the utility model realizes the comprehensive monitoring of the regional gas pipe network, eliminating the detection blind spots in traditional methods;

[0031] (6) The Internet of Things technology and automatic control solution adopted by the utility model have obvious advantages in terms of cost-effectiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a structural block diagram of a regional pipeline gas leakage monitoring device based on Internet of Things technology;

[0033] Figure 2 Schematic diagram of the wiring of the Internet of Things remote transmission device

[0034] Figure 3 Flow chart of a method for automatically and real-time detecting pipeline gas leakage

[0035] Figure 4 Flow chart of a method for actively judging pipeline gas leakage detection Specific implementation manners

[0036] The technical solution of the present utility model will be further elaborated below in conjunction with the accompanying drawings and embodiments.

[0037] As Figure 1 and Figure 2 shown, this embodiment discloses a regional pipeline gas leakage monitoring device based on Internet of Things technology, which mainly includes: an explosion-proof box for Internet of Things remote transmission equipment, an Internet of Things cloud platform, and a PC terminal. A collection module, a control module, a power supply circuit, and a communication module are deployed inside the explosion-proof box for Internet of Things remote transmission equipment. The communication module transmits data to the Internet of Things cloud platform through 4G / WiFi / Ethernet, and automatically switches the network route to transmit data according to the network situation. The transmitted data includes: the monitoring data obtained by the collection module. The corresponding parameters and programs in the explosion-proof box for Internet of Things remote transmission equipment can be set and programmed by connecting the PC terminal to the Ethernet communication to open the corresponding software.

[0038] Among them, the sensor module externally connected to the collection module in this embodiment includes, but is not limited to, a flow meter and a pressure transmitter; the flow meter is used to monitor the flow rate change in the pipeline in real time, and the pressure transmitter is used to monitor the pressure in the pipeline in real time. In this embodiment, flow meters and pressure transmitters with high precision and good anti-interference ability are preferably selected, which can further ensure the accuracy and reliability of the data. The pressure signal obtained by the pressure transmitter is a 4-20mA current signal, and the flow signal obtained by the flow meter is a 4-20mA current signal. Specifically, the collection module collects the 4-20mA current signal of the pressure transmitter, and collects the 4-20mA instantaneous flow signal of the flow meter or transmits the cumulative flow value and instantaneous flow value of the flow meter through RS485 communication, and collects the signals of the valve open-in-place and close-in-place states transmitted by the control module.

[0039] Among them, the operation modules externally connected to the control module in this embodiment include, but are not limited to, an electric ball valve and an electromagnetic cut-off valve. The control module outputs a control signal for opening or closing the electric ball valve or a control signal for the electromagnetic cut-off valve according to the analysis result from the Internet of Things cloud platform. When the electric ball valve is closed, it prevents gas from entering the leaking pipe network. The electromagnetic cut-off valve plays a role in redundant control closing, that is, when the electric ball valve fails, the electromagnetic cut-off valve serves as a backup device to ensure the timely cut-off of gas supply. In this embodiment, the electric ball valve transmits two-way switch quantity control (valve open / valve closed) and two-way switch quantity feedback (open in place / closed in place) signals to the explosion-proof box of the Internet of Things remote transmission device.

[0040] Figure 2 It shows the internal electrical wiring and component positions of the explosion-proof box of the Internet of Things remote transmission device in this embodiment, which integrates an acquisition module, a communication module, a control module, and a power supply circuit. The 220VAC external power supply supplies 220VAC power to the explosion-proof box. At the same time, through a 220VAC to 24VDC switching power supply, it provides 24VDC power for each system to supply the required power. The pressure transmitter signal, flowmeter signal, electric ball valve signal, and electromagnetic cut-off valve signal are connected to the signal safety isolation grid through the terminal block to form an acquisition module, which collects and inputs the signals into the PLC device. The Internet of Things CPU box has 3 Ethernet ports and forms a communication system, which can communicate with the PLC device, the cloud platform, and the on-site computer for debugging communication.

[0041] The explosion-proof box of the Internet of Things remote transmission device in this embodiment realizes data transmission with the Internet of Things cloud platform through 4G / WIFI / wired network, and the data information is transmitted in real time. To improve the stability and security of data transmission, encrypted communication protocols can be used for data transmission, and it has the ability to automatically switch to the backup communication path to cope with network interruption or interference. The Internet of Things cloud platform adopted in this embodiment is an existing cloud platform. For example, Alibaba Cloud server can be used. The data processing carried out in this cloud platform is simple data comparison, and a large number of existing data comparison algorithms are used to implement the functions of this embodiment. In this way, the detection accuracy is effectively guaranteed. At the same time, the network security of the system is supported by the Alibaba Cloud server to ensure that it can resist various network attacks.

[0042] Meanwhile, an easy-to-use human-machine interface (HMI) can be considered for it, including a web version and a mobile APP version optimized for mobile devices. These interfaces are not only beautiful and intuitive but also powerful, allowing users to easily perform various operations and settings. Users can manually or automatically control the operation of the solenoid valve through these interfaces and can customize the parameters of the automatic control mode, such as setting time limits, alarm interlock function switches, etc. In addition, users can also set the threshold of pressure alarm so as to issue an alarm in time when the monitored pressure value exceeds the safe range. The interface also provides real-time pressure value display and historical data analysis functions to help users better understand the system status and make corresponding decisions.

[0043] As Figure 3 shown, the detection mechanism of this embodiment can perform automatic real-time detection. The general working process includes:

[0044] The acquisition module obtains 24-hour flow data and pressure data from the flowmeter and the pressure transmitter;

[0045] The communication module uploads the flow data and pressure data obtained by the acquisition system to the Internet of Things cloud platform;

[0046] The Internet of Things cloud platform analyzes the flow data and pressure data to obtain an analysis result, which includes: no leakage and leakage. Only when leakage occurs, the Internet of Things cloud platform sends an instruction to the control system, and this instruction includes the control signal of the electric ball valve or the control signal of the electromagnetic cut-off valve.

[0047] The control module controls the electric ball valve or the electromagnetic cut-off valve according to the instruction to prevent gas from entering the leaking pipe network.

[0048] In the above working process, the analysis of the flow data and pressure data can include:

[0049] According to the real-time database, the SQL software can query and analyze, and successively judge whether the pressure data is abnormal and whether the flow data is abnormal. Usually, there are the following judgment methods:

[0050] First, the judgment of real-time data is based on the set abnormal alarm value. For example, when gas leakage occurs, the pressure value will drop to the alarm value to judge the leakage alarm;

[0051] Second, calculate the change rate of the pressure value, that is, take the derivative of the data curve generated by the real-time database, set the abnormal alarm value. When the change rate of the pressure drop shows an abnormal increase, introduce the flow data as the second judgment condition to judge whether the pressure drop is caused by leakage or the increase in the gas consumption of the pipe network, so as to improve the correctness of the leakage alarm;

[0052] According to the historical database, the SQL software can query and analyze, comparing the flow data and pressure data year-on-year with the annual data curve, month-on-month with the monthly data curve, week-on-week with the data curve of the previous week, and month-on-month with the data curve of the past three years to obtain the analysis results. The historical database, through SQL-related software, mainly gives the normal pressure value and the pressure value change rate under normal use of the pipe network in the span of years, months, weeks, and days as the conditions for verifying abnormal leakage. The application of this function can update the alarm values of the pipe network pressure value and the pressure change rate in real time, changing from manual setting of alarm parameters to automatic setting of alarm parameters, which is the advantage brought by the introduction of database technology.

[0053] As Figure 4 shown, the detection agency adopting this embodiment can conduct active judgment detection. The general working process includes:

[0054] The user sets the time period when the active detection of pipeline gas leakage starts;

[0055] When the time period starts, the control system actively controls the electric ball valve at the inlet of the regional pipe network to close. At this time, the regional pipe network forms a closed circulation system;

[0056] The acquisition system obtains the flow data and pipeline pressure data from the flowmeter and pressure transmitter during this time period; the communication system uploads the flow data and pipeline pressure data obtained by the acquisition system to the Internet of Things cloud platform;

[0057] The Internet of Things cloud platform analyzes the flow data and pipeline pressure data to judge the gas leakage situation and obtains the analysis results. The analysis results include: no leakage and leakage. When there is no leakage, it is judged whether it is within the set time period. If so, continue to monitor and judge; if not, send a no-leakage result to the relevant person in charge. When there is a leakage, send an alarm notification to the relevant person in charge.

[0058] This embodiment uses Internet of Things technology. Through the combination of the acquisition module, communication module, and cloud platform, it not only improves the monitoring accuracy and response speed, but also prevents the continuous leakage of the regional pipe network through remote monitoring and automatic control, reducing labor costs and improving the operation safety of the gas pipe network. Compared with traditional manual inspections and handheld detectors, the above embodiments can all achieve 24-hour uninterrupted real-time monitoring to ensure that gas leakage problems in the regional pipe network are discovered in the first time. When gas leakage is detected, it automatically judges according to the pressure data and flowmeter data of the gas pipe network, controls the closing of the electric ball valve, cuts off the gas supply in time, and sends an alarm message to prevent the occurrence and expansion of leakage accidents.

Claims

1. A regional pipeline gas leakage monitoring device based on Internet of Things technology, characterized in that: Including: An electric ball valve, located at the inlet of the regional pipe network, for opening or closing the regional pipe network; A sensor module, for obtaining the current pressure data and current flow data within the regional pipe network; An acquisition module, connected to the sensor module, for obtaining the current pressure data and current flow data from the sensor module; A communication module, for uploading the current pressure data and current flow data in the acquisition system to the cloud platform; A cloud platform, for comparing the current pressure data and current flow data with the set abnormal alarm values to obtain an analysis result; A control module, for obtaining the analysis result from the cloud platform, and controlling the electric ball valve to close only when the final analysis result is leakage, or for actively controlling the electric ball valve to close within the set time period according to the time period set by the user.

2. The area pipeline gas leakage monitoring device based on Internet of Things technology according to claim 1, characterized in that: The sensor module includes a pressure transmitter.

3. The regional pipeline gas leakage monitoring device based on Internet of Things technology according to claim 1, characterized in that: The sensor module further includes a flow meter.

4. The regional pipeline gas leakage monitoring device based on the Internet of Things technology according to claim 1, characterized in that: An electromagnetic cut-off valve is further included. The electromagnetic cut-off valve is located at the inlet of the regional pipe network and serves as a backup device for the electric ball valve only when the electric ball valve fails.

5. The regional pipeline gas leakage monitoring device based on Internet of Things technology according to claim 1, wherein: The communication module is an Internet of Things remote transmission device.

6. The regional pipeline gas leakage monitoring device based on Internet of Things technology according to claim 1, characterized in that: The acquisition module, communication module and control module are integrated in a pressure regulating cabinet.

7. A regional pipeline gas leakage monitoring device based on Internet of Things technology according to claim 1, characterized in that: A power supply module is further included. The power supply module includes a 220VAC to 24VDC switching power supply. One end of the power supply module is connected to an external power supply, and the other end provides 24VDC power to the acquisition module, communication module and control module.

8. The regional pipeline gas leakage monitoring device based on the Internet of Things technology according to claim 1, characterized in that: The acquisition module includes a PLC and a signal safety isolation barrier. The current pressure data and current flow data from the sensor module are connected to the signal safety isolation barrier through a terminal block and then input to the PLC.

9. The regional pipeline gas leakage monitoring device based on Internet of Things technology according to claim 1, characterized in that: The communication module includes 3 Ethernet ports, which communicate with the acquisition module, communicate with the cloud platform, and communicate with a field debugging computer respectively.

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