User side fuel gas safety diagnosis system

Abstract

The embodiment of the invention discloses a user side fuel gas safety diagnosis system. In one specific embodiment, the system comprises an ultrasonic gas meter and a risk early warning management and control platform, the ultrasonic gas meter is arranged on a gas pipeline between a stop valve and gas utilization equipment in the user unit; a gas valve for cutting off the gas pipeline is arranged in the ultrasonic gas meter; the ultrasonic gas meter further comprises a controller, a sensor module and a remote transmission module. According to the embodiment, gas monitoring is accurate, the gas use state of the user side can be comprehensively evaluated, the gas potential safety hazard is accurately evaluated, risk early warning is carried out through the risk early warning management and control platform, and a gas company can master the gas use state of each user in time.

Description

Technical Field

[0001] The present invention relates to the field of gas safety, and more specifically, to a user-side gas safety diagnosis system. Background Art

[0002] With the acceleration of urbanization and the improvement of residents' living standards, gas, as an important energy source for daily life, has attracted increasing attention from all walks of life for its safe use. In traditional gas use management, the monitoring of gas use mainly relies on manual inspections and simple gas meter measurement. This method is not only inefficient, but also difficult to detect and deal with potential gas safety hazards in a timely manner.

[0003] In order to improve the safety of gas use, a variety of gas safety monitoring technologies and systems have emerged in recent years. However, most of these technologies focus on a single monitoring function, such as only monitoring gas leaks or gas flow, and lack comprehensive safety diagnosis capabilities. In addition, although some technologies can monitor gas data in real time, their data processing and analysis capabilities are limited, making it difficult to identify abnormal situations in gas use in a timely and accurate manner, thus missing the best time to deal with them.

[0004] As a new type of gas metering equipment, ultrasonic gas meter has the advantages of high precision, low power consumption, easy remote communication, etc., providing a new technical means for gas usage management. However, the existing ultrasonic gas meter mainly focuses on the accuracy of gas measurement, and the monitoring and early warning functions for gas usage safety are relatively weak. Summary of the invention

[0005] The object of the present invention is to provide a user-side gas safety diagnosis system to solve at least one of the problems existing in the prior art.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A first aspect of the present invention provides a user-side gas safety diagnosis system, comprising:

[0008] Ultrasonic gas meter and risk warning management and control platform;

[0009] The ultrasonic gas meter is arranged on the gas pipeline between the cut-off valve and the gas-using equipment in the user unit; the ultrasonic gas meter is provided with a gas valve for cutting off the gas pipeline;

[0010] The ultrasonic gas meter also includes a controller, a sensor module and a remote transmission module;

[0011] The sensor module is used to monitor the vibration data of the ultrasonic gas meter, and the controller is used to identify the vibration type of the vibration data and identify abnormal vibration type based on the trained vibration recognition model;

[0012] The sensor module is also used to monitor ultrasonic data of the gas pipeline, and the controller is used to calculate gas flow data and gas flow rate data based on the ultrasonic data; the controller also identifies whether there are abnormal impurities in the gas according to the gas flow rate data;

[0013] The sensor module is further used to monitor the gas pressure data at the inlet and outlet ends of the ultrasonic gas meter respectively, and the controller is further used to identify abnormal gas leakage at the inlet and outlet ends of the ultrasonic gas meter and to identify abnormal micro-leakage of the gas pipeline when the gas valve is closed;

[0014] The sensor module is further used to monitor the gas temperature data, and the controller is further used to identify gas temperature anomalies and compensate the gas flow data based on the gas pressure data and the gas temperature data to obtain a compensated flow;

[0015] The controller is further used to identify gas leakage and gas flow anomaly based on the compensation flow; and monitor the current gas usage duration, the current gas usage period and the current daily accumulated flow according to the compensation flow to identify gas flow anomaly;

[0016] The remote transmission module is used to upload the monitoring data and the identified abnormal data to the risk warning management and control platform; wherein the monitoring data includes the vibration data of the ultrasonic gas meter, the ultrasonic data of the gas pipeline, the gas pressure data at the inlet and outlet ends of the ultrasonic gas meter, the gas temperature data, the gas flow data, the gas flow rate data and the compensation flow; the abnormal data includes the abnormal vibration type, the presence of abnormal impurities in the gas, the micro-leakage abnormality of the gas pipeline, the abnormal gas temperature and the abnormal gas flow;

[0017] The risk warning management and control platform is used to provide risk warning based on the monitoring data and identify abnormal data.

[0018] Furthermore, the sensor module includes a vibration sensor; the vibration sensor is used to monitor the vibration data to which the ultrasonic gas meter is subjected;

[0019] The controller includes a vibration recognition module; the vibration recognition module is used to input the vibration data into a trained vibration recognition model, obtain the vibration type of the vibration data and identify abnormal vibration types;

[0020] The training process of the vibration recognition model includes:

[0021] Obtain the vibration data of the ultrasonic gas meter under earthquakes, meter detachment, and violent damage to obtain the original data set;

[0022] Divide the original data set into a training set and a test set;

[0023] Input the training set into the trained vibration recognition model for training to obtain the trained vibration recognition model;

[0024] The vibration recognition model is a convolutional neural network model.

[0025] Furthermore, the sensor module includes an ultrasonic flowmeter for monitoring ultrasonic data of the gas pipeline. The controller includes a calculation module for calculating gas flow data and gas velocity data based on the ultrasonic data and the Kepler effect; the ultrasonic flowmeter includes a first ultrasonic sensor and a second ultrasonic sensor relatively arranged on the gas pipeline; the output end of the first ultrasonic sensor faces the second ultrasonic sensor, and the output end of the second ultrasonic sensor faces the first ultrasonic sensor.

[0026] Furthermore, the controller further includes an impurity identification module for determining that there are abnormal impurities in the gas when the gas velocity data is greater than the preset gas velocity range or the change rate of the gas velocity data is greater than the preset gas change rate threshold;

[0027] The impurities include water and air.

[0028] Furthermore, the sensor module includes two gas pressure sensors respectively arranged at the inlet end and the outlet end of the ultrasonic gas meter for respectively monitoring the gas pressure data at the inlet end and the outlet end of the ultrasonic gas meter;

[0029] The controller includes a gas leakage monitoring module, and the gas leakage detection module is used for:

[0030] Determine that gas leakage occurs at the outlet end when P1 > P2 + P3 and |P1 - P2 - P3| > σ; and when

[0031] Determine that gas leakage occurs at the inlet end when P1 < P2 + P3 and |P1 - P2 - P3| > σ;

[0032] Wherein, P1 is the gas pressure data at the outlet end of the ultrasonic gas meter; P2 is the gas pressure data at the outlet end of the ultrasonic gas meter; P3 is the theoretical pressure difference between the gas pressure data at the inlet end of the ultrasonic gas meter and the gas pressure data at the outlet end of the ultrasonic gas meter; σ is the preset pressure difference fluctuation threshold.

[0033] Furthermore, the controller also includes a micro-leakage monitoring module, which is used to determine that there is an abnormal micro-leakage in the gas pipeline when the gas valve is closed and the pressure drop value of the gas pressure data at the air inlet end of the ultrasonic gas meter is less than a preset micro-leakage pressure threshold within a preset time.

[0034] Furthermore, the sensor module includes a temperature sensor for monitoring gas temperature data;

[0035] The controller includes a compensation module, and the compensation module is used according to the formula:

[0036]

[0037] Calculate the compensation flow Q2; where P is the preset gas pressure value at normal temperature; T is the temperature value at normal temperature; ΔP is the change of the mean value of the gas pressure data at the inlet end of the ultrasonic gas meter relative to the preset gas pressure value at normal temperature, and ΔT is the change of the gas temperature data relative to the temperature value at normal temperature; K2 is the correction coefficient obtained by interpolation.

[0038] Furthermore, the controller includes a gas temperature monitoring module for determining that the gas temperature is abnormal when the gas temperature is greater than a preset upper temperature limit or less than a preset lower temperature limit.

[0039] Furthermore, the controller further comprises a gas leakage identification module, which is used to judge gas leakage when the compensation flow is less than a preset minimum gas flow threshold and greater than zero after the gas valve is closed;

[0040] The preset minimum gas flow threshold is the minimum flow when the gas valve is open and the gas-consuming equipment is turned on;

[0041] The controller also includes a gas flow abnormality identification module, which is used to monitor the current gas usage duration, the current gas usage period and the current daily cumulative flow according to the compensation flow, obtain the historical gas usage duration, the historical gas usage period and the historical daily cumulative flow and obtain the maximum gas usage duration and the maximum daily cumulative flow therefrom; and determine that the gas flow is abnormal when the current gas usage duration is greater than the maximum gas usage duration, or the current daily cumulative flow is greater than the maximum daily cumulative flow.

[0042] Furthermore, the safety diagnostic system also includes a safety switch and a household gas alarm; the controller includes a manual control module and a timing module;

[0043] The safety switch, in response to a first setting operation by a user, obtains a manual control instruction of the gas valve;

[0044] The manual control module opens or closes the gas valve in response to the manual control instruction;

[0045] The safety switch also obtains the timing time of the gas valve in response to a second setting operation of the user;

[0046] The timing module, in response to the timing time, starts timing and controls the gas valve to open, outputs and controls the safety switch to display the remaining time and the timing time; when the timing time reaches the timing time, controls the gas valve to close;

[0047] The household gas alarm is used to control the alarm output module to output a first alarm signal when the controller identifies abnormal data, and is also used to monitor the gas concentration and output a second alarm signal when the gas concentration is greater than a preset concentration threshold.

[0048] The beneficial effects of the present invention are as follows:

[0049] The user-side gas safety diagnosis system of the present invention not only realizes the accurate measurement of gas flow, but also significantly enhances the safety monitoring and diagnosis capabilities of gas use by integrating ultrasonic gas meters and risk warning management and control platforms. The system can comprehensively monitor multi-dimensional data such as gas flow, flow rate, pressure, temperature, etc., so as to comprehensively evaluate the gas use status and timely discover and warn potential safety hazards.

[0050] By monitoring the vibration data of the ultrasonic gas meter through the built-in sensor module and using the trained vibration recognition model, the system can accurately identify the type of vibration, such as possible illegal operation or equipment failure, providing a new means for the safe supervision of gas use and effectively preventing the risk of gas leakage caused by human damage or equipment aging.

[0051] This system can not only monitor the gas flow and flow rate data to identify abnormal impurities, but also accurately identify abnormal gas leakage by monitoring the gas pressure changes at the inlet and outlet ends. It can even detect micro-leakage in the gas pipeline when the gas valve is closed, greatly improving the sensitivity and accuracy of gas leak detection. At the same time, the gas flow is compensated in combination with the gas temperature data, further improving the accuracy of identifying abnormal gas flow and ensuring the safety and economy of gas use.

[0052] Intelligent management and early warning: The monitoring data, abnormal identification data and compensated gas flow data are uploaded to the risk early warning control platform in real time through the remote transmission module, realizing remote monitoring and analysis of gas usage data. The platform can issue risk warnings based on these data and promptly notify users or managers to take corresponding measures, effectively avoiding the occurrence of gas safety accidents and improving the intelligent level of gas management.

[0053] Through comprehensive monitoring and analysis of gas usage data, the system can help understand users' gas usage habits and optimize gas usage strategies, thereby achieving the goal of energy conservation and emission reduction and improving energy utilization efficiency.

[0054] In summary, the user-side gas safety diagnosis system of the present invention has comprehensive safety diagnosis capabilities, innovative technology applications, accurate abnormality identification and warning, intelligent management and warning mechanism, and significant effects of improving gas utilization efficiency and energy conservation and emission reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings.

[0056] Figure 1 A schematic structural diagram of a user-side gas safety diagnosis system according to an embodiment of the present invention is shown.

[0057] Figure 2 A schematic structural diagram of an ultrasonic gas meter according to an embodiment of the present invention is shown.

[0058] Figure 3 A schematic diagram showing the structure of the cooperation between a controller and a sensor module according to an embodiment of the present invention.

[0059] Figure 4 A schematic structural diagram of a user-side gas safety diagnosis system according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0060] In order to explain the present invention more clearly, the present invention is further described below in conjunction with embodiments and drawings. Similar components in the drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and the protection scope of the present invention should not be limited thereto.

[0061] In view of this, if Figure 1 and Figure 2 As shown, an embodiment of the present invention provides a user-side gas safety diagnosis system, including:

[0062] Ultrasonic gas meter and risk warning management and control platform;

[0063] The ultrasonic gas meter is arranged on the gas pipeline between the cut-off valve and the gas-using equipment in the user unit; the ultrasonic gas meter is provided with a gas valve for cutting off the gas pipeline;

[0064] The ultrasonic gas meter also includes a controller, a sensor module and a remote transmission module;

[0065] The sensor module is used to monitor the vibration data of the ultrasonic gas meter, and the controller is used to identify the vibration type of the vibration data and identify abnormal vibration type based on the trained vibration recognition model;

[0066] The sensor module is also used to monitor ultrasonic data of the gas pipeline, and the controller is used to calculate gas flow data and gas flow rate data based on the ultrasonic data; the controller also identifies whether there are abnormal impurities in the gas according to the gas flow rate data;

[0067] The sensor module is further used to monitor the gas pressure data at the inlet and outlet ends of the ultrasonic gas meter respectively, and the controller is further used to identify abnormal gas leakage at the inlet and outlet ends of the ultrasonic gas meter and to identify abnormal micro-leakage of the gas pipeline when the gas valve is closed;

[0068] The sensor module is further used to monitor the gas temperature data, and the controller is further used to identify gas temperature anomalies and compensate the gas flow data based on the gas pressure data and the gas temperature data to obtain a compensated flow;

[0069] The controller is further used to identify gas leakage and gas flow anomaly based on the compensation flow; and monitor the current gas usage duration, the current gas usage period and the current daily accumulated flow according to the compensation flow to identify gas flow anomaly;

[0070] The remote transmission module is used to upload the monitoring data and the identified abnormal data to the risk warning management and control platform; wherein the monitoring data includes the vibration data of the ultrasonic gas meter, the ultrasonic data of the gas pipeline, the gas pressure data at the inlet and outlet ends of the ultrasonic gas meter, the gas temperature data, the gas flow data, the gas flow rate data and the compensation flow; the abnormal data includes the abnormal vibration type, the presence of abnormal impurities in the gas, the micro-leakage abnormality of the gas pipeline, the abnormal gas temperature and the abnormal gas flow;

[0071] The risk warning management and control platform is used to provide risk warning based on the monitoring data and identify abnormal data.

[0072] The user-side gas safety diagnosis system of the present invention not only realizes the accurate measurement of gas flow, but also significantly enhances the safety monitoring and diagnosis capabilities of gas use by integrating ultrasonic gas meters and risk warning management and control platforms. The system can comprehensively monitor multi-dimensional data such as gas flow, flow rate, pressure, temperature, etc., so as to comprehensively evaluate the gas use status and timely discover and warn potential safety hazards.

[0073] By monitoring the vibration data of the ultrasonic gas meter through the built-in sensor module and using the trained vibration recognition model, the system can accurately identify the type of vibration, such as possible illegal operation or equipment failure, providing a new means for the safe supervision of gas use and effectively preventing the risk of gas leakage caused by human damage or equipment aging.

[0074] This system can not only monitor the gas flow and flow rate data to identify abnormal impurities, but also accurately identify abnormal gas leakage by monitoring the gas pressure changes at the inlet and outlet ends. It can even detect micro-leakage in the gas pipeline when the gas valve is closed, greatly improving the sensitivity and accuracy of gas leak detection. At the same time, the gas flow is compensated in combination with the gas temperature data, further improving the accuracy of identifying abnormal gas flow and ensuring the safety and economy of gas use.

[0075] Intelligent management and early warning: The monitoring data, abnormal identification data and compensated gas flow data are uploaded to the risk early warning control platform in real time through the remote transmission module, realizing remote monitoring and analysis of gas usage data. The platform can issue risk warnings based on these data and promptly notify users or managers to take corresponding measures, effectively avoiding the occurrence of gas safety accidents and improving the intelligent level of gas management.

[0076] Through comprehensive monitoring and analysis of gas usage data, the system can help users and management departments better understand gas usage habits and optimize gas usage strategies, thereby achieving the goal of energy conservation and emission reduction and improving energy utilization efficiency.

[0077] In summary, the user-side gas safety diagnosis system of the present invention has comprehensive safety diagnosis capabilities, innovative technology applications, accurate abnormality identification and warning, intelligent management and warning mechanism, and significant effects of improving gas utilization efficiency and energy conservation and emission reduction.

[0078] On the other hand, the present invention uses advanced ultrasonic sensors to measure the gas flow more accurately, and realizes the monitoring of tiny flows, tiny leaks, and abnormal flows.

[0079] The present invention adds a safety switch device, which makes it more convenient and safer for users to operate gas.

[0080] The system for improving the intrinsic safety level of the gas user end described in the present invention can clearly view device information and user information through the user-end risk warning management and control platform, and realizes real-time risk assessment, risk monitoring, risk warning and other functions for all equipment based on the data uploaded by the ultrasonic gas meter.

[0081] In a specific implementation, the safety switch is installed near the ultrasonic gas meter and communicates with the ultrasonic gas meter via Bluetooth. The functions include: manually controlling the gas valve of the ultrasonic gas meter to open or close the valve through the safety switch, controlling the gas valve to close the valve within a preset time, and displaying the timing time on a liquid crystal display, etc. The safety switch includes a Bluetooth communication module, a liquid crystal display module, a button, a battery and other modules. The safety switch is installed near the ultrasonic gas meter in a convenient place for users to operate. The safety switch communicates with the ultrasonic gas meter via Bluetooth, and users can set the valve closing time, check the remaining time, open and close the valve, etc. The risk warning control platform is used by gas company staff to help gas companies better monitor the operation of equipment. The functions include: risk assessment, risk monitoring, risk warning, user information and classification, equipment safety operation information monitoring, user data statistical analysis, etc. It mainly includes user information and classification, equipment installation and operation status, user data statistical analysis, user risk control, user hidden danger monitoring, user warning processing and other functions.

[0082] In a specific implementation, Bluetooth is used to achieve two-way communication between the ultrasonic gas meter and the safety switch, and NB-IOT is used to achieve two-way communication between the ultrasonic gas meter and the user-side risk management and control system.

[0083] In one possible implementation, Figure 3 As shown, the sensor module includes a vibration sensor; the vibration sensor is used to monitor the vibration data to which the ultrasonic gas meter is subjected;

[0084] The controller includes a vibration recognition module; the vibration recognition module is used to input the vibration data into a trained vibration recognition model, obtain the vibration type of the vibration data and identify abnormal vibration types;

[0085] The training process of the vibration recognition model includes:

[0086] Acquire vibration data of the ultrasonic gas meter subjected to earthquake, meter falling off and violent damage to obtain an original data set;

[0087] Divide the original data set into training set and test set;

[0088] Inputting the training set into the trained vibration recognition model for training, thereby obtaining the trained vibration recognition model;

[0089] The vibration recognition model is a convolutional neural network model.

[0090] In a specific embodiment, the ultrasonic gas meter has a built-in vibration sensor to monitor the surrounding environment of the gas meter in real time. Based on the principle of waveform similarity, the characteristics of various vibration waveforms are extracted from a large number of collected samples by applying a neural network algorithm. With reference to the classic convolutional neural network Le-Net5, a deep convolutional neural network model is constructed for these data and features for training, and the trained model data is built into the device. When a severe vibration waveform is monitored, such as an earthquake, meter falling off, violent damage, etc., the vibration sensor collects the vibration waveform, and determines the specific situation by comparing it with the built-in model, and closes the valve according to the situation. Abnormal vibration types can include earthquakes, meter falling off, and violent damage.

[0091] In a possible implementation, the sensor module includes an ultrasonic flow meter for monitoring ultrasonic data of the gas pipeline, and the controller includes a calculation module for calculating gas flow data and gas flow velocity data based on the ultrasonic data and the Kepler effect;

[0092] The ultrasonic flow meter comprises a first ultrasonic sensor and a second ultrasonic sensor which are arranged opposite to each other on the gas pipeline; the output end of the first ultrasonic sensor faces the second ultrasonic sensor, and the output end of the second ultrasonic sensor faces the first ultrasonic sensor.

[0093] In a possible implementation, the controller further includes an impurity identification module, which is used to determine that abnormal impurities exist in the gas when the gas flow rate data is greater than a preset gas flow rate range or the change rate of the gas flow rate data is greater than a preset gas change rate threshold;

[0094] The impurities include water and air.

[0095] This embodiment can determine whether there is water immersion or air mixed in the cavity of the ultrasonic gas meter, specifically:

[0096] The ultrasonic sensor upstream sends ultrasonic waves to the downstream sensor and measures the time T1. Then, ultrasonic waves are sent from the downstream sensor to the upstream sensor in the opposite direction, and the time T2 is measured. Based on the Kepler effect, the gas flow rate U can be calculated from these two times obtained by the ultrasonic sensor. Therefore, the ultrasonic data described above in the present invention includes the measurement time T1 and the measurement time T2. When water or air enters the ultrasonic gas meter, due to the difference in density between water, air and gas, the ultrasonic propagation time T1 and T2 change greatly. It can be detected that the flow rate has a huge difference or even exceeds the use range of the ultrasonic gas meter, and the valve closing process is immediately performed.

[0097] In a possible implementation manner, the sensor module includes two gas pressure sensors, which are respectively arranged at the inlet end and the outlet end of the ultrasonic gas meter, and are used to respectively monitor the gas pressure data at the inlet end and the outlet end of the ultrasonic gas meter;

[0098] It is determined that gas leakage occurs at the outlet end when P1 > P2 + P3 and |P1 - P2 - P3| > σ; and when

[0099] It is determined that gas leakage occurs at the inlet end when P1 < P2 + P3 and |P1 - P2 - P3| > σ;

[0100] Where P1 is the gas pressure data at the outlet end of the ultrasonic gas meter; P2 is the gas pressure data at the outlet end of the ultrasonic gas meter; P3 is the theoretical pressure difference between the gas pressure data at the inlet end of the ultrasonic gas meter and the gas pressure data at the outlet end of the ultrasonic gas meter; σ is the preset pressure difference fluctuation threshold.

[0101] In a possible implementation manner, the controller further includes a micro-leakage monitoring module, which is used to determine that the gas pipeline has a micro-leakage abnormality when the pressure drop value of the gas pressure data at the inlet end of the ultrasonic gas meter is less than the preset micro-leakage pressure threshold within a preset time when the gas valve is closed.

[0102] In a specific implementation manner, after the valve is closed, by monitoring and analyzing the change of the gas pressure value of the ultrasonic gas meter in the pipeline, when the gas pipeline pressure value after the valve is closed is P, continuously monitor the pipeline pressure. If the P value remains unchanged all the time, it can be considered that there is no leakage; if the pressure value decreases and continues to decrease, it is considered that there is a leakage situation.

[0103] In a possible implementation manner, the sensor module includes a temperature sensor, which is used to monitor the gas temperature data;

[0104] The controller includes a compensation module, and the compensation module is used to calculate the compensation flow Q2 according to the formula:

[0105]

[0106] Calculate the compensation flow Q2; where P is the preset gas pressure value at normal temperature; T is the normal temperature value; ΔP is the change of the average value of the gas pressure data at the inlet end of the ultrasonic gas meter relative to the preset gas pressure value at normal temperature, and ΔT is the change of the gas temperature data relative to the normal temperature value; K2 is the correction coefficient obtained by the interpolation method.

[0107] In a specific implementation, a temperature and pressure sensor is installed in the ultrasonic gas meter to compensate for the temperature and pressure of the gas. Since the compressibility of the gas determines the complexity of the flow measurement, the actual measured flow of the ultrasonic gas meter is related to the gas density, which in turn is related to the temperature and pressure. Assuming the flow equation Q1 is the detected flow rate, P is the gas pressure at room temperature, T is the set temperature at room temperature, and K1 is the coefficient;

[0108] On this basis, the voltage stabilization compensation formula can be revised as follows: The compensation flow Q2 is calculated; P is the preset gas pressure value at normal temperature; T is the normal temperature value; ΔP is the change of the mean value of the gas pressure data at the inlet end of the ultrasonic gas meter relative to the preset gas pressure value at normal temperature, ΔT is the change of the gas temperature data relative to the normal temperature value; K2 is the correction coefficient obtained by interpolation method.

[0109] The coefficient K2 is fitted through a large amount of data. A relatively accurate flow value can be obtained based on the tested gas temperature and gas pressure. Specifically, through the standard temperature and pressure corresponding to the gas volume relationship table, it is judged whether there is a deviation between the current gas temperature and the current gas pressure. If there is a deviation and the deviation exceeds a certain range, a coefficient correction value is inserted, and the situation at different temperatures is tested. Finally, the correction value and coefficient under all temperature ranges are obtained and written into the preset table. Finally, the coefficients under all gas temperatures and gas pressures can be obtained through this table.

[0110] At the same time, this embodiment can also realize temperature anomaly monitoring: when the temperature is detected to be much higher than the set temperature upper limit or lower than the set temperature lower limit, it is considered that the temperature is abnormal, and it is reported in time and further processed.

[0111] In a possible implementation, the controller includes a gas temperature monitoring module, which is used to determine that the gas temperature is abnormal when the gas temperature is greater than a preset upper temperature limit or less than a preset lower temperature limit.

[0112] In a possible implementation, the controller further includes a gas leakage identification module, which is used to determine a gas leakage when the compensation flow is less than a preset minimum gas flow threshold and greater than zero after the gas valve is closed;

[0113] The preset minimum gas flow threshold is the minimum flow when the gas valve is open and the gas-consuming equipment is turned on;

[0114] The controller further includes a gas flow anomaly recognition module, which is used to monitor the current gas usage duration, current gas usage period, and current daily cumulative flow based on the compensated flow, obtain the historical gas usage duration, historical gas usage period, and historical daily cumulative flow, and obtain the maximum gas usage duration and maximum daily cumulative flow therefrom; when the current gas usage duration is greater than the maximum gas usage duration, or the current daily cumulative flow is greater than the maximum daily cumulative flow, it is determined that the gas flow is abnormal.

[0115] In this embodiment, the gas meter uses an ultrasonic flow sensor with high precision, so continuous and minute flow monitoring can be achieved: the ultrasonic gas meter calculates the flow more accurately than the old-fashioned diaphragm gas meter and can calculate minute flows. When in normal use (the minimum flow when the gas valve is open and the gas-using device is turned on), the minimum gas flow is Qmin. When the gas valve is in the closed state, the flow should be 0. When the gas flow Qt < Qmin and Qt > 0 is detected when in the closed state, it is considered that there is a gas pipeline leakage phenomenon.

[0116] In a possible implementation manner, as Figure 4 shown, the safety diagnosis system further includes a safety switch and a domestic gas alarm; the controller includes a manual control module and a timing module;

[0117] The safety switch, in response to the user's first setting operation, obtains a manual control instruction for the gas valve;

[0118] The manual control module, in response to the manual control instruction, opens or closes the gas valve;

[0119] The safety switch also, in response to the user's second setting operation, obtains the timing time of the gas valve;

[0120] The timing module, in response to the timing time, starts timing and controls the gas valve to open, outputs and controls the safety switch to display the remaining time and the timing time; when the timing time reaches the timing time, it controls the gas valve to close;

[0121] The domestic gas alarm is used to control the alarm output module to output a first alarm signal when the controller identifies abnormal data, and is also used to monitor the gas concentration and output a second alarm signal when the gas concentration is greater than a preset concentration threshold.

[0122] Specifically, the abnormal data includes abnormal vibration type, whether there are abnormal impurities, micro-leakage abnormality of the gas pipeline, gas flow abnormality, and gas temperature abnormality.

[0123] In a specific embodiment, a household gas alarm includes a central processing unit, a methane detection sensor, a buzzer, and a button, etc., which emits a buzzer to alert the user when a gas leak is detected or when the controller recognizes abnormal data.

[0124] In the description of the present invention, it should be noted that the terms "upper", "lower", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are 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 position, be constructed and operated in a specific position, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0125] It should also be noted that, in the description of the present invention, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0126] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the embodiments here. All obvious changes or modifications derived from the technical solution of the present invention are still within the protection scope of the present invention.

Claims

1. A user-side gas safety diagnostic system, characterized in that: include: Ultrasonic gas meter and risk warning management and control platform; The ultrasonic gas meter is arranged on the gas pipeline between the cut-off valve and the gas-using equipment in the user unit; the ultrasonic gas meter is provided with a gas valve for cutting off the gas pipeline; The ultrasonic gas meter also includes a controller, a sensor module and a remote transmission module; The sensor module is used to monitor the vibration data of the ultrasonic gas meter, and the controller is used to identify the vibration type of the vibration data and identify abnormal vibration type based on the trained vibration recognition model; The sensor module is also used to monitor ultrasonic data of the gas pipeline, and the controller is used to calculate gas flow data and gas flow rate data based on the ultrasonic data; the controller also identifies whether there are abnormal impurities in the gas according to the gas flow rate data; The sensor module is further used to monitor the gas pressure data at the inlet and outlet ends of the ultrasonic gas meter respectively, and the controller is further used to identify abnormal gas leakage at the inlet and outlet ends of the ultrasonic gas meter and to identify abnormal micro-leakage of the gas pipeline when the gas valve is closed; The sensor module is further used to monitor the gas temperature data, and the controller is further used to identify gas temperature anomalies and compensate the gas flow data based on the gas pressure data and the gas temperature data to obtain a compensated flow; The controller is further used to identify gas leakage and gas flow anomaly based on the compensation flow; and monitoring the current gas usage duration, the current gas usage period, and the current daily accumulated flow rate according to the compensation flow rate to identify abnormal gas flow rate; The remote transmission module is used to upload the monitoring data and the identified abnormal data to the risk warning management and control platform; wherein the monitoring data includes the vibration data of the ultrasonic gas meter, the ultrasonic data of the gas pipeline, the gas pressure data at the inlet and outlet ends of the ultrasonic gas meter, the gas temperature data, the gas flow data, the gas flow rate data and the compensation flow; the abnormal data includes the abnormal vibration type, the presence of abnormal impurities in the gas, the micro-leakage abnormality of the gas pipeline, the abnormal gas temperature and the abnormal gas flow; The risk warning management and control platform is used to provide risk warning based on the monitoring data and identify abnormal data.

2. The safety diagnostic system according to claim 1, characterized in that: The sensor module includes a vibration sensor; the vibration sensor is used to monitor the vibration data to which the ultrasonic gas meter is subjected; The controller includes a vibration recognition module; the vibration recognition module is used to input the vibration data into a trained vibration recognition model, obtain the vibration type of the vibration data and identify abnormal vibration types; The training process of the vibration recognition model includes: Acquire vibration data of the ultrasonic gas meter subjected to earthquake, meter falling off and violent damage to obtain an original data set; Divide the original data set into training set and test set; Inputting the training set into the trained vibration recognition model for training, thereby obtaining the trained vibration recognition model; The vibration recognition model is a convolutional neural network model.

3. The safety diagnosis system according to claim 1, wherein the sensor module includes an ultrasonic flowmeter for monitoring ultrasonic data of the gas pipeline, and the controller includes a calculation module for calculating gas flow data and gas velocity data based on the ultrasonic data and the Kepler effect; the ultrasonic flowmeter includes a first ultrasonic sensor and a second ultrasonic sensor oppositely arranged on the gas pipeline; the output end of the first ultrasonic sensor faces the second ultrasonic sensor, and the output end of the second ultrasonic sensor faces the first ultrasonic sensor.

4. The safety diagnosis system according to claim 1, wherein the controller further includes an impurity identification module for determining that there are abnormal impurities in the gas when the gas velocity data is greater than a preset gas velocity range or the change rate of the gas velocity data is greater than a preset gas change rate threshold; the impurities include water and air.

5. The safety diagnosis system according to claim 1, wherein the sensor module includes two gas pressure sensors respectively arranged at the inlet end and the outlet end of the ultrasonic gas meter for respectively monitoring gas pressure data at the inlet end and the outlet end of the ultrasonic gas meter; the controller includes a gas leakage monitoring module, and the gas leakage detection module is used for: determining that gas leakage occurs at the outlet end when P1 > P2 + P3 and |P1 - P2 - P3| > σ; and determining that gas leakage occurs at the inlet end when P1 < P2 + P3 and |P1 - P2 - P3| > σ; wherein, P1 is the gas pressure data at the outlet end of the ultrasonic gas meter; P2 is the gas pressure data at the outlet end of the ultrasonic gas meter; P3 is the theoretical pressure difference between the gas pressure data at the inlet end of the ultrasonic gas meter and the gas pressure data at the outlet end of the ultrasonic gas meter; σ is a preset pressure difference fluctuation threshold.

6. The safety diagnosis system according to claim 5, wherein the controller further includes a micro - leakage monitoring module for determining that there is a micro - leakage abnormality in the gas pipeline when, within a preset time when the gas valve is closed, the pressure drop value of the gas pressure data at the inlet end of the ultrasonic gas meter is less than a preset micro - leakage pressure threshold.

7. The safety diagnosis system according to claim 1, wherein the sensor module includes a temperature sensor for monitoring gas temperature data; the controller includes a compensation module, and the compensation module is used for calculating the compensated flow Q2 according to the formula: where P is the preset gas pressure value at normal temperature; T is the normal temperature value; ΔP is the change of the average value of the gas pressure data at the inlet end of the ultrasonic gas meter relative to the preset gas pressure value at normal temperature, ΔT is the change of the gas temperature data relative to the normal temperature value; K2 is a correction coefficient obtained by interpolation method.

8. The safety diagnosis system according to claim 7, wherein the controller includes a gas temperature monitoring module for determining that the gas temperature is abnormal when the gas temperature is greater than a preset temperature upper limit or less than a preset temperature lower limit.

9. The safety diagnostic system according to claim 1, characterized in that: The controller further comprises a gas leakage identification module, which is used to judge gas leakage when the compensation flow is less than a preset minimum gas flow threshold and greater than zero after the gas valve is closed; The preset minimum gas flow threshold is the minimum flow when the gas valve is open and the gas-consuming equipment is turned on; The controller further includes a gas flow anomaly identification module, which is used to monitor the current gas usage duration, the current gas usage period and the current daily cumulative flow according to the compensation flow, obtain the historical gas usage duration, the historical gas usage period and the historical daily cumulative flow, and obtain the maximum gas usage duration and the maximum daily cumulative flow therefrom; The gas flow is determined to be abnormal when the current gas usage duration is greater than the maximum gas usage duration, or the current daily cumulative flow is greater than the maximum daily cumulative flow.

10. The safety diagnostic system according to claim 1, characterized in that: The safety diagnosis system also includes a safety switch and a household gas alarm; the controller includes a manual control module and a timing module; The safety switch, in response to a first setting operation by a user, obtains a manual control instruction of the gas valve; The manual control module opens or closes the gas valve in response to the manual control instruction; The safety switch also obtains the timing time of the gas valve in response to a second setting operation of the user; The timing module, in response to the timing time, starts timing and controls the gas valve to open, outputs and controls the safety switch to display the remaining time and the timing time; when the timing time reaches the timing time, controls the gas valve to close; The household gas alarm is used to control the alarm output module to output a first alarm signal when the controller identifies abnormal data, and is also used to monitor the gas concentration and output a second alarm signal when the gas concentration is greater than a preset concentration threshold.

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