A user-side gas safety diagnostic system

Abstract

An embodiment of the present invention discloses a user-side gas safety diagnostic system. In one specific embodiment, the system includes an ultrasonic gas meter and a risk warning and management platform. The ultrasonic gas meter is installed on the gas pipeline between the shut-off valve and the gas-consuming equipment within the user unit. The ultrasonic gas meter is equipped with a gas valve for shutting off the gas pipeline. The ultrasonic gas meter also includes a controller, a sensor module, and a remote transmission module. This embodiment accurately monitors gas usage and comprehensively assesses the user's gas usage status, accurately evaluating gas safety hazards. Risk warnings are issued through the risk warning and management platform, allowing gas companies to promptly monitor each user's gas usage status.

Claims

1. A user-side gas safety diagnostic system, characterized in that: include: Ultrasonic gas meter and risk warning and control platform; The ultrasonic gas meter is installed on the gas pipeline between the shut-off valve and the gas-using equipment in the user unit; the ultrasonic gas meter is provided with a gas valve for shutting 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 types based on the trained vibration recognition model; The sensor module is further configured to monitor ultrasonic data from the gas pipeline, and the controller is configured to calculate gas flow data and gas flow velocity data based on the ultrasonic data; the controller is further configured to identify whether abnormal impurities exist in the gas based on the gas flow velocity data; The sensor module is further used to monitor the gas pressure data at the inlet and outlet of the ultrasonic gas meter respectively. The controller is further used to identify abnormal gas leakage at the inlet and outlet of the ultrasonic gas meter and to identify abnormal micro-leakage in the gas pipeline when the gas valve is closed. The sensor module is further used to monitor 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 configured to identify gas leakage and gas flow anomalies based on the compensation flow; and monitoring the current gas usage duration, the current gas usage period, and the current daily accumulated gas flow according to the compensated flow to identify abnormal gas flow; The remote transmission module is used to upload monitoring data and identified abnormal data to the risk warning and management platform; the monitoring data includes vibration data of the ultrasonic gas meter, ultrasonic data of the gas pipeline, gas pressure data at the inlet and outlet of the ultrasonic gas meter, gas temperature data, gas flow data, gas flow rate data, and compensation flow; the abnormal data includes abnormal vibration type, the presence of abnormal impurities in the gas, abnormal micro-leakage of the gas pipeline, abnormal gas temperature, and abnormal gas flow; The risk warning management and control platform is used to provide risk warning based on the monitoring data and identified 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 suffered by the ultrasonic gas meter; 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 dataset into training set and test set; Inputting the training set into the trained vibration recognition model for training to obtain 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 flow 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 flow velocity data is greater than a preset gas flow velocity range or the change rate of the gas flow 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; 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; and 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 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 within a preset time when the gas valve is closed.

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; and 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 includes a gas leakage identification module for determining 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; 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 for monitoring the current gas usage duration, the current gas usage period, and the current daily cumulative flow according to the compensation flow, obtaining historical gas usage duration, historical gas usage period, and historical daily cumulative flow, and obtaining 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 diagnostic 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 obtains a gas valve manual control instruction in response to a first setting operation by the user; The manual control module opens or closes the gas valve in response to the manual control instruction; The safety switch further obtains the timing time of the gas valve in response to a second setting operation by 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; and controls the gas valve to close when the timing time reaches the timing time; 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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