Intelligent gas door station control system

Abstract

According to the intelligent gas door station control system, a door station controller of a door station is in communication connection with a server through a communication module, and the door station controller is used for sending data of a detection device to the server and controlling an odorization valve of an odorization device; an odorization monitoring module of the server is used for generating an odorization device working state according to the odorization valve opening degree and the odorization tank liquid level information, and generating odorization risk information according to the odorization device working state; the gate station control valve control module is used for controlling a gate station control valve through a gate station controller according to the outbound gas flow and the pressure on the two sides of the gate station control valve; the gate station operation state monitoring module is used for analyzing the gate station operation state according to the pressure in a gate station pipeline, the pressure of an outbound pipeline, the inbound gas flow and the outbound gas flow, and generating gate station operation risk information according to the gate station operation state; the gate station environment monitoring module is used for generating gate station environment risk information according to the gate station environment information. And the gas valve station control system is poor in reliability and low in maintenance efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of gas management, and in particular relates to a gas intelligent gate station control system. Background Art

[0002] As a key hub of the urban gas transmission and distribution system, the gas gate station undertakes the important responsibilities of receiving, filtering, regulating pressure, metering and distributing gas. The safety, stability and efficiency of its operation are directly related to the safety of gas use in cities and industrial areas. Under the traditional gas gate station management mode, it mainly relies on manual operation and basic automation technology, which exposes many drawbacks. The gas gate station mainly relies on manual inspection and basic automation equipment to maintain operation. The staff needs to shuttle between various equipment regularly, observe the appearance of the equipment with the naked eye for any abnormalities, manually record the pressure, flow and other data displayed on the instrument, and organize them into operation logs. This method of regular inspection according to the time period is completely unable to know the difference in the actual operating conditions of the equipment. This not only leads to excessive waste of maintenance resources, but also fails to detect potential equipment failures in time, which is very likely to cause sudden failures and affect the normal supply of gas. Moreover, it relies heavily on the personal experience accumulated by the operator over a long period of time and lacks scientific and accurate data analysis support. This gate station control and maintenance method has an inefficient emergency system and cumbersome processes. When facing emergencies, it often misses the best time to deal with them, which brings great hidden dangers to the safety of gas supply. Summary of the invention

[0003] The present invention provides a smart gas gate station control system to solve the problems of poor reliability and low maintenance efficiency of the gas gate station control system.

[0004] The basic solution provided by the present invention is: a gas intelligent gate station control system, including a server and a gate station; the gate station includes a gate station controller, the gate station controller is electrically connected to the gate station control valve, the odorizing device, the detection device, and the communication module, the gate station controller is connected to the server through the communication module, the gate station controller is used to send the data of the detection device to the server, and control the odorizing valve of the odorizing device according to the inlet gas flow and the concentration of the odorant after mixing;

[0005] The server includes an odorization monitoring module, a gate station control valve control module, a gate station operation status monitoring module, and a gate station environment monitoring module;

[0006] The odorization monitoring module is used to generate the working state of the odorization device according to the opening of the odorization valve and the liquid level information of the odorization tank, and to generate the odorization risk information according to the working state of the odorization device;

[0007] The gate station control valve control module is used to control the gate station control valve through the gate station controller according to the outgoing gas flow and the pressure on both sides of the gate station control valve;

[0008] The gate station operation status monitoring module is used to analyze the operation status of the gate station based on the pressure in the gate station pipeline, the pressure of the outbound pipeline, the inbound gas flow rate, and the outbound gas flow rate, and generate gate station operation risk information according to the operation status of the gate station;

[0009] The gate station environment monitoring module is used to generate gate station environment risk information based on the gate station environment information.

[0010] The principle and advantages of the present invention are as follows: The gate station controller is electrically connected to the odorization device, and can control the odorization valve of the odorization device according to the inbound gas flow rate and the concentration after the odorant is mixed, so as to achieve precise odorization, ensure that the concentration of the odorant in the gas meets the safety standards, not only ensure that gas leakage can be detected in time, but also avoid waste of resources and possible adverse effects caused by excessive odorization; The gate station controller is communicatively connected to the server through the communication module. The gate station control valve control module of the server can intelligently control the gate station control valve through the gate station controller according to the outbound gas flow rate and the pressure on both sides of the gate station control valve, and can automatically adapt to different gas consumption demands and pipeline pressure changes, ensure the stability and safety of gas transmission, and improve the operation efficiency of the gate station;

[0011] The odorization monitoring module generates the working state of the odorization device by obtaining the opening degree of the odorization valve and the liquid level information of the odorization tank, and further generates odorization risk information, enabling the staff to understand the operation of the odorization device in real time and detect potential faults or risks in the odorization device in advance, such as odorant leakage and abnormal odorization quantity, so as to take measures in time for treatment and ensure the normal progress of odorization work; the gate station operation state monitoring module analyzes the operation state of the gate station based on multi-dimensional data such as the pressure in the gate station pipeline, the pressure of the outgoing pipeline, the incoming gas flow rate, and the outgoing gas flow rate, and generates gate station operation risk information, which can comprehensively master the operation status of the gate station, timely detect problems that may affect the normal operation of the gate station, such as pipeline blockage, abnormal pressure, and sudden flow change, and early warning of potential risks, which helps prevent accidents and reduce situations such as gas supply interruption caused by faults; the gate station environment monitoring module generates gate station environment risk information according to the gate station environment information, which can monitor the environmental conditions around the gate station in real time, such as monitoring environmental risk factors such as combustible gas leakage, fire hazards, and adverse weather effects, providing an all-round environmental guarantee for the safe operation of the gate station, and ensuring that countermeasures can be taken in time when environmental factors are abnormal to protect the safety of personnel and equipment. Compared with the prior art, through the collaborative work of each module, the system forms an all-round guarantee system from odorization control, valve control to operation state and environmental monitoring, real-time monitors and gives risk warnings to all links of the gate station operation, can timely detect and handle various potential problems, is more accurate in judging gate station faults, does not rely too much on the experience of the staff, and does not need to detect faults through regular inspections, reduces the probability of safety accidents occurring at the gate station, improves the safety and reliability of the gate station operation, ensures the stability and continuity of gas supply, and provides a safer and more reliable gas service for users; at the same time, according to the system monitoring situation, it can comprehensively master the work situation of the gate station, timely process and analyze faults, does not need to perform maintenance after gas interruption or other major accidents occur, improves the maintenance and emergency efficiency, and greatly reduces the workload of the staff.

[0012] Preferably, the working state of the odorization device includes the real-time opening degree of the odorization valve, the real-time liquid level of the odorization tank, and the trend of the liquid level of the odorization tank. The odorization risk information includes the risk of low usage of the odorization tank. The odorization monitoring module includes an odorization tank liquid level trend analysis module. The odorization tank liquid level trend analysis module analyzes the liquid level of the odorization tank through a data trend analysis model to obtain the odorization tank liquid level trend information, and generates the risk of low usage of the odorization tank according to the odorization tank liquid level trend information.

[0013] Beneficial effects: The working status of the odorant adding device covers multiple dimensions such as the real-time opening of the odorant adding valve, the real-time liquid level of the odorant adding tank, and the liquid level trend of the odorant adding tank, which can comprehensively and accurately reflect the operating conditions of the odorant adding device. Through the monitoring and feedback of these real-time data, the system enables the staff to understand the working status of the odorant adding device in a timely manner. Once abnormal situations occur, such as abnormal valve opening or rapid liquid level drop, etc., it can quickly respond and take measures in a timely manner for adjustment or maintenance to ensure the normal progress of the odorant adding work; the liquid level trend analysis module of the odorant adding tank analyzes the liquid level of the odorant adding tank through a data trend analysis model, which can explore the change trend behind the liquid level data. Compared with the simple real-time liquid level data, the liquid level trend information can better reflect the usage law and consumption speed of the odorant, helping the staff to predict the dosage of the odorant in advance, and can issue an early warning before the odorant is about to run out. The staff can arrange the replenishment work of the odorant in a timely manner according to the warning information, avoiding untimely odorant addition due to insufficient odorant, so as to ensure that the gas always maintains an appropriate odor during transportation, so that it can be detected by users in time in case of leakage, reducing safety risks, providing a more scientific basis for the maintenance of the odorant adding device and the replenishment of the odorant. At the same time, the management personnel can formulate more reasonable odorant procurement plans, equipment maintenance plans and personnel scheduling plans based on these data, optimize the resource allocation of the gate station, and improve the management efficiency and refinement level.

[0014] Further preferably, the expression of the data trend analysis model is as follows:

[0015]

[0016] In the formula, Y t is the value of the liquid level of the odorant adding tank at time t, L is the lag operator L i Y t = Y t-i , p is the autoregressive order, d is the differencing order, q is the moving average order, and θ i are the autoregressive and moving average coefficients of the model respectively, ∈ t is a white noise sequence.

[0017] Beneficial effects: Through the data trend analysis model, a large amount of liquid level data can be automatically processed and analyzed, valuable information can be extracted from it, without the need for complex data processing and analysis by humans, reducing the interference and error of human factors, and improving the accuracy and reliability of the analysis results; after training and optimization with a large amount of historical liquid level data, it has good generalization ability. Even when the operating conditions of the gate station change to a certain extent or encounter some special situations, the model can still relatively accurately analyze and predict the liquid level trend of the odorant adding tank, providing reliable support for the operation and management of the gate station.

[0018] Preferably, the gate station controller includes an odorant injection valve control module, and the odorant injection valve control module adjusts the opening degree of the odorant injection valve according to the following formula:

[0019] O = O c -k×(C a -C t )

[0020] In the formula, O is the calculated value of the opening degree of the odorant injection valve, O c is the current opening degree of the odorant injection valve, k is the proportionality coefficient, C a is the actual concentration of the outgoing gas at the current station, C t is the target concentration of the outgoing gas at the station.

[0021] Beneficial effects: By adjusting the magnitude of the proportionality coefficient, the response degree of the valve opening to the concentration deviation can be changed. Under different gate station operating conditions or operation requirements, the staff can optimize the proportionality coefficient according to the actual situation to achieve the best control effect; different gas gate stations may vary in scale, gas type, user requirements, etc., resulting in different requirements for odorant injection control. The adjustable proportionality coefficient enables this control scheme to adapt to the specific operating conditions of different gate stations, with strong versatility and adaptability, providing support for the personalized operation and management of the gate station.

[0022] Preferably, the server stores the threshold values of the gate station environment information, and the gate station safety monitoring module compares the real-time gate station environment information with the threshold values of the gate station environment information to generate gate station environment risk information.

[0023] Beneficial effects: By monitoring the environment information and comparing it with the threshold values, environmental factors that are unfavorable to the operation of the equipment can be detected in a timely manner. For example, excessive humidity may cause electrical equipment to be damp and short-circuited, and strong electromagnetic interference may affect the stability of the control system, etc. When the environment information approaches or exceeds the threshold values, taking timely measures to improve the environmental conditions helps to protect various equipment in the gate station, extend the service life of the equipment, reduce equipment failures and maintenance costs, ensure the stable operation of the gate station equipment, and thus guarantee the reliability of the entire gas supply system.

[0024] Further preferably, the gate station environment information includes gate station temperature information, gate station vibration information, in-station gas concentration information, and gate station water level information.

[0025] Beneficial effects: Environmental factors such as temperature, vibration, gas concentration, and water level are closely related to the normal operation and service life of the gate station equipment. By monitoring temperature and vibration, equipment failures can be prevented in advance, avoiding gas supply interruptions caused by equipment shutdowns; monitoring gas concentration and water level can prevent safety accidents caused by leaks or floods, ensure the continuity of gas transmission, and meet the gas usage needs of users; by monitoring and controlling these environmental information, a good operating environment can be created for the equipment, reducing wear, corrosion, and failures of the equipment caused by environmental factors, extending the service life of the equipment, reducing equipment maintenance costs, and ensuring the stable operation of the gate station equipment.

[0026] Preferably, the gate station operation status monitoring module includes a prediction module, a comparison module, and a gate station operation risk information generation module;

[0027] The prediction module predicts the pressure in the gate station pipeline, the pressure of the outbound pipeline, the inbound gas flow rate, and the outbound gas flow rate through an LSTM prediction model to obtain predicted values;

[0028] The comparison module is used to compare the actual pressure in the gate station pipeline, the pressure of the outbound pipeline, the inbound gas flow rate, and the outbound gas flow rate with the predicted values generated by the prediction module to generate a comparison result;

[0029] The gate station operation risk information generation module is used to generate gate station operation risk information based on the comparison result.

[0030] Beneficial effects: The LSTM prediction model has a powerful ability to process time series data and can effectively predict the change trends of key operation data such as the pressure in the gate station pipeline, the pressure of the outbound pipeline, the inbound gas flow rate, and the outbound gas flow rate; comparing the actual operation data with the predicted values in real time can quickly detect the deviation between the actual situation and the expectation. Once the deviation exceeds the abnormal value, it means that there may be an abnormal situation in the gate station operation. Staff can intervene in the investigation in a timely manner to determine the cause of the deviation, such as equipment failure, pipeline leakage, sudden change in gas usage demand, etc., so as to take corresponding measures for adjustment and repair; generating and transmitting gate station operation risk information in a timely manner can achieve early warning of risks, avoid the expansion and deterioration of risks, improve the safety management level of the gate station, and reduce casualties, property losses, and social impacts caused by sudden accidents.

[0031] Preferably, the gate station further includes a monitoring device, and the gate station environment monitoring module is further used to identify based on the video information of the monitoring device to generate abnormal event records and alarms.

[0032] Beneficial effects: The video information of the monitoring device can present the actual scene of the gate station in an intuitive image form, enabling the staff to directly observe the operating status of the equipment in the gate station, the personnel operation situation, and the surrounding environmental conditions, etc. Combining the video information with other environmental monitoring data (such as temperature, gas concentration, etc.) can conduct a more comprehensive and in-depth analysis. Through the mutual verification and comprehensive judgment of information from different dimensions, the staff can more accurately evaluate the nature and severity of abnormal events. When an abnormal event is detected, the system can immediately generate an alarm, reminding the staff in various ways such as sound, text message, push notification, etc., ensuring that the staff can learn about the problems occurring at the gate station in the first place, greatly shortening the time from the occurrence of the abnormality to the staff's response, and winning precious time for timely handling of problems and controlling the development of the situation. Compared with relying solely on data monitoring, the video information is more vivid and comprehensive, enabling the staff to quickly understand the overall situation of the gate station and providing the most direct basis for judging whether there is an abnormality; and by playing back the video record, the whole process of the abnormal event can be clearly restored, helping the staff accurately find out the cause of the accident and analyze the problems, providing a strong basis for improving the management of the gate station and preventing similar accidents from occurring again.

[0033] Preferably, the gate station further includes a power module, and the power module includes a solar energy conversion unit and a gravity energy conversion unit. The solar energy conversion unit can convert solar energy into electrical energy, and the gravity energy conversion unit can generate electricity using gravitational potential energy. The two energy conversion methods complement each other, providing stable power support for the operation of the gate station control system; it is suitable for different regional natural environments and areas with diverse climate conditions, better adapting to various complex environments. In some remote areas or places where the power grid coverage is imperfect, it may be difficult for the gate station to access a stable external power grid. However, by adopting a power module including a solar energy conversion unit and a gravity energy conversion unit, the gate station can achieve independent power supply, without relying on the external power grid, and can independently meet its own power demand, providing greater flexibility and autonomy for the construction and operation of the gate station.

[0034] Preferably, the gate station further includes a display device, and the display device is used to display the operation parameters of the gate station. The operation parameters presented on the display device are convenient for maintenance personnel to debug. In case of an emergency, the display device can provide accurate on-site operation parameter information for the maintenance personnel dealing with the emergency, helping them quickly formulate an emergency response plan and take effective measures to respond, reducing the accident losses. Description of the Drawings

[0035] Figure 1 is the system block diagram of the present invention;

[0036] Figure 2 is the structural block diagram of the odorization monitoring module of the present invention;

[0037] Figure 3 This is the structural block diagram of the environmental monitoring module of the gate station of the present invention;

[0038] Figure 4 This is the structural block diagram of the operation status monitoring module of the gate station of the present invention. Specific embodiments

[0039] The following is a further detailed description through specific embodiments:

[0040] The specific implementation process is as follows: Refer to Figures 1 to 4, a gas intelligent gate station control system, including a server and a gate station; the gate station includes a gate station controller, and the gate station controller is a control module with a single-chip microcomputer as the main control chip. In this embodiment, the main control chip is preferably stm32. The gate station controller is electrically connected to a gate station control valve, an odorization device, a detection device, a communication module, a monitoring device, an alarm device, and a display device. The gate station also includes a power supply module, and the power supply module includes a solar energy conversion unit and a gravity conversion unit. The gate station control valve is an electric valve, and the electric valve includes a control valve and an electric actuator; the odorization device includes an odorization tank, an injection pipeline, and an odorization valve. The odorization device is communicated with the main gas pipeline of the gate station through the injection pipeline, and the odorization valve is located on the injection pipeline; the detection device includes a temperature sensor, an odorant concentration sensor, a vibration sensor, a first pressure sensor, a second pressure sensor, a first flowmeter, a second flowmeter, a liquid level sensor, a gas concentration sensor, and an ultrasonic water level sensor for detecting the water level information of the gate station. The temperature sensor is used to monitor the temperature of the gate station. There can be multiple vibration sensors, which are respectively arranged on each pipeline to detect the vibration information of each pipeline in the gate station; the odorant concentration sensor is located downstream of the gate station pipeline and is used to detect the odorant concentration in the gas; the first pressure sensor and the second pressure sensor are arranged on the main gas pipeline on both sides of the gate station control valve respectively. The first pressure sensor is located on the upstream side and is used to detect the pipeline pressure on the upstream side of the gate station control valve, and the second pressure sensor is located on the downstream side and is used to detect the pipeline pressure on the downstream side of the gate station control valve; the first flowmeter is arranged upstream of the main gas pipeline and is used to detect the incoming gas volume; the second flowmeter is arranged downstream of the main gas pipeline and is used to detect the outgoing gas volume; the liquid level sensor is arranged on the odorization tank, and the gas concentration sensor is used to detect the gas concentration in the gate station. In this embodiment, the model of the temperature sensor is DS18B20, the model of the odorant concentration sensor is 4THT-50ppm, the model of the vibration sensor is DOB-ZDL-930JY, the models of the first pressure sensor and the second pressure sensor are SKA / YL-301, the models of the first flowmeter and the second flowmeter are FS4008-30-08-CV-A, the model of the liquid level sensor is PROLEV500 / 500D, the model of the gas concentration sensor is BM22S3031-1, and the model of the ultrasonic water level sensor is DYP-A17. The gate station operation parameters displayed on the display device include the gate station temperature information, the odorant concentration of the outgoing gas, the vibration information, the pressures on both sides of the gate station control valve, the incoming gas flow rate, the outgoing gas flow rate, the liquid level of the odorization tank, and the gate station water level information.

[0041] The station controller is communicatively connected to the server through a communication module. The station controller is used to send the data of the detection device to the server and control the odorization valve of the odorization device according to the incoming gas flow rate and the concentration after odorant mixing.

[0042] The server includes an odorization monitoring module, a station control valve control module, a station operation status monitoring module, and a station environment monitoring module.

[0043] The odorization monitoring module is used to generate the working status of the odorization device based on the opening degree of the odorization valve and the liquid level information of the odorization tank, and generate odorization risk information based on the working status of the odorization device.

[0044] The station control valve control module is used to control the station control valve through the station controller according to the outgoing gas flow rate and the pressures on both sides of the station control valve.

[0045] The station operation status monitoring module is used to analyze the operation status of the station according to the pressure in the station pipeline, the pressure of the outgoing pipeline, the incoming gas flow rate, and the outgoing gas flow rate, and generate station operation risk information based on the operation status of the station.

[0046] The station environment monitoring module is used to generate station environment risk information based on the station environment information; it is also used to identify based on the video information of the monitoring device and generate abnormal event records and alarms.

[0047] The server further includes an alarm control module. The alarm control module is used to send an alarm signal to the monitoring terminal according to the odorization risk information, the station operation risk information, and the station environment risk information, and control the alarm device to give an alarm. The monitoring terminal can be an operation panel or a display connected to the server, or an APP on a mobile phone. The alarm device is provided with multiple different types of indicator lights, and the alarm control module facilitates the maintenance personnel to accurately find the fault location in time by displaying the corresponding indicator lights.

[0048] The server further includes a data acquisition module. The data acquisition module is used to acquire the detection data of the detection device.

[0049] Preferably, the working status of the odorization device includes the real-time opening degree of the odorization valve, the real-time liquid level of the odorization tank, and the liquid level trend of the odorization tank. The odorization risk information includes the risk of low usage of the odorization tank. The odorization monitoring module includes an odorization tank liquid level trend analysis module. The odorization tank liquid level trend analysis module analyzes the liquid level of the odorization tank through a data trend analysis model to obtain the odorization tank liquid level trend information, and generates the risk of low usage of the odorization tank based on the odorization tank liquid level trend information.

[0050] The expression of the data trend analysis model is as follows:

[0051]

[0052] Wherein, Y t is the value of the odorization tank liquid level at time t, and L is the lag operator L i Y t = Y t-i , p is the autoregressive order, d is the differencing order, q is the moving average order, and θ i are the autoregressive and moving average coefficients of the model respectively, and ∈ t is a white noise sequence. The values of the autoregressive order p, differencing order d, and moving average order q are determined according to the odorization tank capacity, the gas main pipeline pressure in the gate station, the gate station ambient temperature, and the data acquisition frequency. In this embodiment, d = 1, p ∈ [1, 3], and q ∈ [1, 3].

[0053] Preferably, the gate station controller includes an odorization valve control module, and the odorization valve control module adjusts the opening of the odorization valve according to the following formula:

[0054] O = O c - k×(C a - C t )

[0055] Wherein, O is the calculated value of the odorization valve opening, O c is the current opening of the odorization valve, k is the proportionality coefficient, C a is the actual concentration of the current outbound gas, and C t is the target concentration of the outbound gas.

[0056] The proportionality coefficient k is related to the diameter and length of the gate station pipeline; it is debugged during the installation of the odorization device to determine the value of k. In this embodiment, k is 0.2.

[0057] In this embodiment, according to the standard concentration of 20 mg / m 3 , the actual concentration of the currently detected outbound gas is 18 mg / m 3 , the opening of the odorization valve is 1 / 3. According to the above calculation formula, the opening of the odorization valve is 11 / 15.

[0058] The gate station environment monitoring module includes a threshold storage module, a comparison module, and a gate station environment risk information generation module. The threshold storage module is used to store the gate station environment information threshold, the comparison module is used to compare the real-time gate station environment information with the gate station environment information threshold to obtain a comparison result, and the gate station environment risk information generation module is used to generate gate station environment risk information according to the comparison result. The gate station environment information includes gate station temperature information, gate station vibration information, gate station gas concentration information, and gate station water level information.

[0059] The monitoring module for the operation status of the gate station includes a prediction module, a comparison module, and a risk information generation module for the operation of the gate station;

[0060] The prediction module uses the LSTM prediction model to predict the pressure in the gate station pipeline, the pressure of the outbound pipeline, the inbound gas flow rate, and the outbound gas flow rate, and obtains the predicted values;

[0061] The comparison module is used to compare the actual pressure in the gate station pipeline, the pressure of the outbound pipeline, the inbound gas flow rate, and the outbound gas flow rate with the predicted values generated by the prediction module, and generates a comparison result;

[0062] The risk information generation module for the operation of the gate station is used to generate risk information for the operation of the gate station according to the comparison result.

[0063] The structure of the LSTM prediction model includes:

[0064] i t = σ(W i [h t-1 , x t + b i )

[0065] In the formula, i t is the input gate, σ is the activation function, which maps the input to a value between 0 and 1, W i is the weight matrix of the input gate, b i is the bias term of the input gate, h t is the hidden state;

[0066] f t = σ(W f [h t-1 , x t + b f )

[0067] In the formula, f t is the forgetting gate, W f is the weight matrix of the forgetting gate, b f is the bias term of the forgetting gate, h t is the hidden state;

[0068] o t = σ(W o [h t-1 , x t + b o )

[0069] In the formula, o t is the output gate, W o is the weight matrix of the output gate, b o is the bias term of the output gate, h t is the hidden state;

[0070] C t = f t * C t-1 + i t * tanh(W C [h t-1 , x t + b C )

[0071] In the formula, C t is the cell state, tanh is the hyperbolic tangent activation function that maps the input to a value between -1 and 1, W C is the weight matrix for cell state update, b C is the bias term for cell state update, and h t is the hidden state.

[0072] h t = o t * tanh(C t )

[0073] In the formula, h t is the hidden state, and o t is the output gate.

[0074] In this embodiment, the LSTM prediction model uses the historical data of the pressure in the station pipeline, the pressure in the outbound pipeline, the inbound gas flow rate, the outbound gas flow rate, the gate station temperature, and the opening degree of the gate station control valve as the input feature variables, and the time step is 24 hours; the output content is the predicted values of the pressure in the gate station pipeline, the pressure in the outbound pipeline, the inbound gas flow rate, and the outbound gas flow rate; the activation function of the input gate uses sigmoid.

[0075] The above are only the embodiments of the present invention. The specific structures and characteristics and other common knowledge in the solution are not described in detail here. Those of ordinary skill in the art know all the common technical knowledge in the technical field to which the invention belongs before the application date or the priority date, can know all the existing technologies in this field, and have the ability to apply the conventional experimental means before this date. Those of ordinary skill in the art can, under the inspiration given in this application, combine their own abilities to complete and implement this solution. Some typical well-known structures or well-known methods should not become an obstacle for those of ordinary skill in the art to implement this application. It should be noted that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can still be made, and these should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application should be subject to the content of its claims, and the specific implementation manners and the like described in the specification can be used to interpret the content of the claims.

Claims

1. A gas intelligent gate station control system, characterized in that: It includes a server and a gate station; the gate station includes a gate station controller, the gate station controller is electrically connected to the gate station control valve, the odorizing device, the detection device, and the communication module, the gate station controller is connected to the server through the communication module, and the gate station controller is used to send the data of the detection device to the server, and control the odorizing valve of the odorizing device according to the inlet gas flow and the concentration of the odorant after mixing; The server includes an odorization monitoring module, a gate station control valve control module, a gate station operation status monitoring module, and a gate station environment monitoring module; The odorization monitoring module is used to generate the working state of the odorization device according to the opening of the odorization valve and the liquid level information of the odorization tank, and to generate the odorization risk information according to the working state of the odorization device; The gate station control valve control module is used to control the gate station control valve through the gate station controller according to the outgoing gas flow and the pressure on both sides of the gate station control valve; The gate station operation status monitoring module is used to analyze the gate station operation status according to the gate station pipeline internal pressure, the exit pipeline pressure, the inlet gas flow rate, and the outlet gas flow rate, and generate the gate station operation risk information according to the gate station operation status; The gate station environment monitoring module is used to generate gate station environment risk information according to gate station environment information.

2. The gas intelligent gate station control system according to claim 1 is characterized in that: The working status of the odorizing device includes the real-time opening of the odorizing valve, the real-time liquid level of the odorizing tank, and the liquid level trend of the odorizing tank. The odorizing risk information includes the risk of low usage of the odorizing tank. The odorizing monitoring module includes an odorizing tank liquid level trend analysis module. The odorizing tank liquid level trend analysis module analyzes the liquid level of the odorizing tank through a data trend analysis model to obtain the odorizing tank liquid level trend information, and generates the risk of low usage of the odorizing tank according to the odorizing tank liquid level trend information.

3. The gas intelligent gate station control system according to claim 2 is characterized in that: The expression of the data trend analysis model is as follows: Where Y t is the value of the odorizing tank liquid level at time t, and L is the hysteresis operator L i Y t =Y t-i , p is the autoregressive order, d is the difference order, q is the sliding average order, and θ i are the autoregressive and moving average coefficients of the model, ∈ t is a white noise sequence.

4. The gas intelligent gate station control system according to claim 1 is characterized in that: The gate station controller includes an odorizing valve control module, which adjusts the odorizing valve opening according to the following formula: O=O c -k×(C a -C t ) Where, O is the calculated value of the odorizing valve opening, O c is the current odorizing valve opening, k is the proportional coefficient, C a is the actual concentration of the current outgoing gas, C t is the target concentration of outgoing gas.

5. The gas intelligent gate station control system according to claim 1 is characterized in that: The server stores a gate station environment information threshold, and the gate station security monitoring module compares the real-time gate station environment information with the gate station environment information threshold to generate gate station environment risk information.

6. The gas intelligent gate station control system according to claim 5 is characterized in that: The gate station environment information includes gate station temperature information, gate station vibration information, gas concentration information in the gate station, and gate station water level information.

7. The gas intelligent gate station control system according to claim 1 is characterized by: The gate station operation status monitoring module includes a prediction module, a comparison module, and a gate station operation risk information generation module; The prediction module predicts the gate station pipeline pressure, the outbound pipeline pressure, the inbound gas flow, and the outbound gas flow through the LSTM prediction model to obtain the predicted value; The comparison module is used to compare the actual gate station pipeline pressure, the exit pipeline pressure, the inlet gas flow rate, and the outlet gas flow rate with the predicted values ​​generated by the prediction module to generate a comparison result; The gate station operation risk information generation module is used to generate gate station operation risk information according to the comparison result.

8. The gas intelligent gate station control system according to claim 1 is characterized by: The gate station also includes a monitoring device, and the gate station environment monitoring module is also used to identify according to the video information of the monitoring device, and generate abnormal event records and alarms.

9. The gas intelligent gate station control system according to claim 1 is characterized by: The gate station also includes a power module, which includes a solar energy conversion unit and a gravity conversion unit.

10. The gas intelligent gate station control system according to claim 1, characterized in that: The gate station further comprises a display device, and the display device is used to display gate station operation parameters.

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