A natural gas conversion state monitoring method and system

Abstract

The present invention discloses a natural gas conversion state monitoring method and system, the method comprising: obtaining environmental parameters, state parameters of a liquid storage device, and a first temperature parameter of a gasification device outlet at a preset first time interval; comparing the air temperature parameter with a preset first air temperature threshold, and comparing the first temperature parameter with a preset first temperature threshold; when the first temperature parameter is less than the preset first temperature threshold, starting the auxiliary heating device; when the air temperature parameter is greater than or equal to the preset first air temperature threshold and the first temperature parameter is less than the preset first temperature threshold, inputting the state parameter into a preset abnormal monitoring model, and sending a first alarm signal if at least one state parameter is abnormal; otherwise, calculating the heat absorption of the gasification device through a preset heat absorption calculation model, and if the heat absorption of the gasification device is abnormal, monitoring the composition of the gaseous natural gas at the outlet of the gasification device; and sending a second alarm signal if the composition of the gaseous natural gas is abnormal.

Description

Technical Field

[0001] The present invention relates to the technical field of natural gas monitoring, and in particular to a natural gas conversion state monitoring method and system. Background Art

[0002] As a clean energy, natural gas plays an important role in the modern energy system. In the process of natural gas extraction, transportation and utilization, the conversion of natural gas from liquid to gas is often involved. This conversion process not only affects the efficiency of natural gas storage and transportation, but also directly affects the safety and economy of natural gas utilization.

[0003] However, in areas with large temperature differences between day and night, existing natural gas conversion status monitoring methods have many shortcomings. Traditional monitoring methods often only focus on single parameters in the natural gas conversion process, such as temperature and pressure, which lack comprehensiveness and systematicness. This single monitoring method is difficult to accurately reflect the overall picture of the natural gas conversion status, and cannot provide sufficient information support for subsequent decision-making and control, making it difficult to accurately and effectively control the natural gas conversion status. Summary of the invention

[0004] In order to solve the problems existing in the prior art, the present invention provides a natural gas conversion status monitoring method and system.

[0005] The technical solution adopted by the present invention is:

[0006] The first aspect of the present application provides a natural gas conversion state monitoring method, comprising the following contents:

[0007] Acquire environmental parameters, state parameters of the liquid storage device, and a first temperature parameter of the gasification device outlet at a preset first time interval; wherein the environmental parameters include air temperature parameters, and the state parameters include a second temperature parameter in the liquid storage device, a first pressure parameter in the liquid storage device, a liquid level parameter in the liquid storage device, and a flow parameter at the liquid storage device outlet;

[0008] Comparing the air temperature parameter with a preset first air temperature threshold, and comparing the first temperature parameter with a preset first temperature threshold; when the first temperature parameter is less than the preset first temperature threshold, starting the auxiliary heating device;

[0009] When the temperature parameter is greater than or equal to a preset first temperature threshold and the first temperature parameter is less than a preset first temperature threshold, the state parameter is input into a preset abnormality monitoring model, and the abnormality monitoring model is used to perform abnormality monitoring on each state parameter;

[0010] If at least one state parameter is abnormal, a first alarm signal is sent;

[0011] If all state parameters are normal, the heat absorption of the gasification equipment is calculated using a preset heat absorption calculation model to determine whether there is any abnormality in the heat absorption of the gasification equipment;

[0012] If there is an abnormality in the heat absorption of the gasification equipment, the composition of the gaseous natural gas at the outlet of the gasification equipment is monitored; if the composition of the gaseous natural gas is abnormal, a second alarm signal is sent.

[0013] Preferably, when the first temperature parameter is less than a preset first temperature threshold, starting the auxiliary heating device further includes the following:

[0014] The operation time of the gasification equipment is divided into a first operation period and a second operation period; wherein the first average temperature parameter in the first operation period is greater than or equal to a preset first temperature threshold; and the second average temperature parameter in the second operation period is less than the preset first temperature threshold;

[0015] Obtaining the startup time of the auxiliary heating device, if the startup time of the auxiliary heating device is in the first operating period, inputting the state parameter into a preset abnormality monitoring model, the abnormality monitoring model is used to perform abnormality monitoring on each state parameter, if the startup time of the auxiliary heating device is in the second operating period, obtaining a third temperature parameter of the surface of the gasification device according to a preset second time interval;

[0016] The temperature difference between the third temperature parameter and the second average air temperature parameter is calculated, and when the temperature difference is greater than a preset temperature difference threshold, a shutdown signal is sent to the gasification equipment.

[0017] Preferably, the step of obtaining the third temperature parameter of the surface of the gasification equipment according to the preset second time interval includes the following contents:

[0018] Calculate the straight-line distance between the temperature sensors at multiple locations on the surface of the gasification equipment and the heat source of the auxiliary heating equipment;

[0019] Assign a weight to each temperature sensor based on the straight-line distance between each temperature sensor and the heat source of the auxiliary heating device;

[0020] According to a preset second time interval, reading temperature parameters from the temperature sensors at each point;

[0021] The temperature parameter of each temperature sensor is multiplied by the corresponding weight to perform weighted averaging to obtain a third temperature parameter.

[0022] Preferably, the state parameters are input into a preset abnormality monitoring model, and the abnormality monitoring model is used to perform abnormality monitoring on each state parameter, including the following contents:

[0023] Standardize each state parameter;

[0024] Calculate the standard score for each standardized state parameter;

[0025] Based on historical status parameter data, an abnormal threshold is set for each status parameter;

[0026] Compare the standard score of each state parameter with the corresponding abnormal threshold. If the standard score is greater than the corresponding abnormal threshold, the state parameter is marked as abnormal.

[0027] Preferably, the preset heat absorption calculation model includes:

[0028]

[0029] in, The heat absorbed by the liquefied natural gas through the gasification equipment. is the heat transfer coefficient between the gasification equipment and the moist air, is the heat transfer area of ​​the outer surface of the gasification equipment; is the temperature parameter, is the fluid temperature of the micro-section in the gasification equipment.

[0030] Preferably, the composition monitoring of the gaseous natural gas at the outlet of the gasification equipment includes the following:

[0031] Gaseous natural gas samples are collected from the outlet of the gasification equipment and input into the monitoring room as the gas to be tested;

[0032] Turn on the spectrum light source to emit infrared light in a preset wavelength range. After the infrared light passes through the gas to be tested, it is received by the spectrum monitor and converted into an electrical signal.

[0033] Amplify and filter the received electrical signal to obtain corresponding spectral data;

[0034] Compare and analyze the spectral data with the preset natural gas component database, and use spectrum processing and analysis technology to extract the absorption spectrum characteristics of each component in natural gas;

[0035] Determine the content of each component in natural gas based on the intensity and position of the absorption spectrum features;

[0036] The content of each component in the natural gas is compared with a preset standard range.

[0037] If the content of at least one component exceeds the standard range, it is judged as abnormal.

[0038] Preferably, the step of collecting a gaseous natural gas sample from the outlet of the gasification equipment and inputting it into the monitoring chamber as the gas to be tested also includes the following:

[0039] Determine whether the air temperature parameter meets the preset monitoring room temperature threshold range. If the air temperature parameter does not meet the preset monitoring room temperature threshold range, adjust the temperature in the monitoring room so that the temperature in the monitoring room is within the preset monitoring room temperature threshold range.

[0040] The second aspect of the present application provides a natural gas conversion state monitoring system, which applies the above-mentioned natural gas conversion state monitoring method, including: an acquisition unit, the acquisition unit is used to acquire environmental parameters, state parameters of a liquid storage device, and a first temperature parameter of a gasification device outlet according to a preset first time interval; wherein the environmental parameters include air temperature parameters, and the state parameters include a second temperature parameter in the liquid storage device, a first pressure parameter in the liquid storage device, a liquid level parameter in the liquid storage device, and a flow parameter at the liquid storage device outlet; a comparison unit, the comparison unit is used to compare the air temperature parameter with a preset first air temperature threshold, and compare the first temperature parameter with a preset first temperature threshold; a control unit, the control unit is used to start the auxiliary heating device when the first temperature parameter is less than the preset first temperature threshold; an abnormality monitoring unit, the abnormality monitoring unit is used to When the air temperature parameter is greater than or equal to a preset first air temperature threshold and the first temperature parameter is less than a preset first temperature threshold, the state parameter is input into a preset abnormal monitoring model, and the abnormal monitoring model is used to perform abnormal monitoring on each state parameter; a first early warning unit, if there is at least one state parameter abnormal, the first early warning unit is used to send a first alarm signal; an energy consumption monitoring unit, if all state parameters are normal, the energy consumption monitoring unit is used to calculate the heat absorption of the gasification equipment through a preset heat absorption calculation model, and determine whether there is an abnormality in the heat absorption of the gasification equipment; a component monitoring unit, if there is an abnormality in the heat absorption of the gasification equipment, the component monitoring unit is used to monitor the composition of the gaseous natural gas at the outlet of the gasification equipment; a second early warning unit, if the composition of the gaseous natural gas is abnormal, the second early warning unit is used to send a second alarm signal.

[0041] The beneficial effects of the present invention are at least one of the following:

[0042] This application not only monitors a single parameter, but also comprehensively considers environmental parameters, state parameters of the liquid storage device, and the first temperature parameter of the gasification device outlet. This multi-parameter monitoring can more comprehensively reflect the various state changes in the natural gas conversion process. By inputting multiple parameters into the preset abnormal monitoring model, systematic analysis and judgment are carried out to more accurately identify potential problems and abnormal situations.

[0043] Acquire various parameters at preset time intervals to ensure real-time data update and timely discover and handle problems. When the first temperature parameter at the gasification equipment outlet is lower than the preset threshold, automatically start the auxiliary heating equipment to ensure the stability and efficiency of the gasification process. Use the preset heat absorption calculation model to determine whether the heat absorption of the gasification equipment is abnormal. Monitor the composition of the gaseous natural gas when necessary to further ensure the quality and safety of the gas.

[0044] Taking into account areas with large temperature differences between day and night, the monitoring strategy is dynamically adjusted by comparing the temperature parameters with the preset thresholds to ensure effective operation under different environmental conditions. Different monitoring and control strategies are adopted according to different operating periods (such as the first operating period and the second operating period) and temperature conditions to improve the flexibility and adaptability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a flow chart of the method of Embodiment 1 of the present application;

[0046] Figure 2 This is a system block diagram of Example 2 of the present application. DETAILED DESCRIPTION

[0047] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0048] Traditional monitoring methods often only focus on single parameters in the natural gas conversion process, such as temperature and pressure, which lack comprehensiveness and systematicness. This single monitoring method is difficult to accurately reflect the overall picture of the natural gas conversion state, and cannot provide sufficient information support for subsequent decision-making and control, making it difficult to accurately and effectively control the natural gas conversion state.

[0049] Embodiment 1, in order to solve the above-mentioned problem, as Figure 1 As shown, this embodiment provides a natural gas conversion state monitoring method, comprising the following steps:

[0050] Step 100: Acquire environmental parameters, state parameters of a liquid storage device, and first temperature parameters of a gas outlet of a gasification device at a preset first time interval.

[0051] Among them, the environmental parameters include air temperature parameters, and the state parameters include a second temperature parameter in the liquid storage device, a first pressure parameter in the liquid storage device, a liquid level parameter in the liquid storage device, and a flow parameter of the liquid outlet of the liquid storage device.

[0052] For reference, an air temperature sensor is installed in the environment to monitor the air temperature parameter in real time, and a temperature sensor is installed at the gas outlet of the gasification device to monitor the first temperature parameter. The gasification device can be an air-temperature vaporizer; a temperature sensor, a pressure sensor, a liquid level sensor and a flow sensor are installed in the liquid storage device to monitor the second temperature parameter T2, the first pressure parameter, the liquid level parameter and the flow parameter of the liquid outlet. The liquid storage device can be a liquid storage tank.

[0053] A preset first time interval (eg, every 5 minutes) is set to read data from each sensor and store the data in a database.

[0054] Step 200, comparing the temperature parameter with a preset first temperature threshold, and comparing the first temperature parameter with a preset first temperature threshold.

[0055] For reference, the obtained air temperature parameter is compared with the preset first air temperature threshold. The first air temperature threshold is determined based on the historical working data of the gasification equipment. Under normal circumstances, when the air temperature parameter is greater than or equal to the first air temperature threshold, there is no need to start the auxiliary heating equipment, and the temperature of the air outlet of the air temperature vaporizer is greater than or equal to the preset first temperature threshold. Under normal circumstances, when the air temperature parameter is less than the first air temperature threshold, the temperature of the air outlet of the air temperature vaporizer will be less than the preset first temperature threshold. At this time, the auxiliary heating equipment needs to be started.

[0056] The first temperature parameter of the gasification equipment outlet is compared with a preset first temperature threshold value. The first temperature threshold value is the standard temperature of the gaseous natural gas at the air temperature vaporizer outlet, which is generally not less than 5 degrees Celsius.

[0057] Step 300: When the first temperature parameter is less than a preset first temperature threshold, start the auxiliary heating device.

[0058] For reference, one starting condition of the auxiliary heating equipment is that when it is monitored that the temperature of the gas outlet of the gasification equipment is lower than a preset first temperature threshold, the auxiliary heating equipment, such as a heater, is automatically started to increase the outlet temperature of the gasification equipment to ensure the smooth progress of the gasification process.

[0059] For reference, another start-up condition of the auxiliary heating device is as described in step 200. Under normal circumstances, when the air temperature parameter is less than the first air temperature threshold, the temperature of the air outlet of the air temperature vaporizer will be less than the preset first temperature threshold. At this time, the auxiliary heating device also needs to be started.

[0060] Considering that even if the auxiliary heating equipment is turned on, during the operation of the air-temperature vaporizer, the surface of the air-temperature vaporizer will inevitably frost due to the low temperature characteristics of liquid natural gas. Frosting causes the heat transfer resistance of the air-temperature vaporizer to increase and the natural gas outlet temperature to decrease. In order to reduce the impact of frosting on the heat transfer of the vaporizer, the air-temperature vaporizer will operate periodically. Traditional air-temperature vaporizers usually use a fixed-cycle start-stop mode to manage the frosting problem. For example, it may be set to automatically stop for a period of time after working for a period of time, so that the frost layer on the surface of the equipment can melt naturally. However, fixed periodic start and stop may cause shutdown when defrosting is not required, resulting in a decrease in gasification efficiency. The fixed shutdown cycle cannot respond to changes in the outside temperature in real time, and the air-temperature vaporizer may not be able to adjust in time.

[0061] In order to solve the drawbacks of the fixed-cycle start and stop of the conventional air-temperature vaporizer, in a possible implementation, the following steps are also included:

[0062] Step 301, when the first temperature parameter is less than the preset first temperature threshold, starting the auxiliary heating equipment also includes the following contents: dividing the operating time of the gasification equipment into a first operating period and a second operating period; wherein the first average temperature parameter in the first operating period is greater than or equal to the preset first temperature threshold; and the second average temperature parameter in the second operating period is less than the preset first temperature threshold.

[0063] The operating time of the gasification equipment refers to a standard operating time determined according to historical operating data. It is for reference only and requires the collection of historical operating data within a certain period of time, including but not limited to ambient temperature, gasification equipment outlet temperature, auxiliary heating equipment startup frequency, frosting conditions, etc. Analyze data: Determine a reasonable standard operating time by analyzing historical data. This time can be the length of time that the gasification equipment continuously operates under normal conditions, such as 6 hours or 8 hours. The specific value should be based on actual operating experience and data analysis.

[0064] The operation time of the vaporization equipment is divided into a first operation period and a second operation period by the first temperature threshold. When the average temperature monitored in real time is greater than or equal to the preset first temperature threshold, this period is defined as the first operation period. During this period, due to the high ambient temperature, the rate of frosting is slow, and under normal circumstances, there is no need to start the auxiliary heating equipment during the first operation period. The temperature of the air outlet of the air temperature vaporizer meets the preset first temperature threshold. When the average temperature monitored in real time is less than the preset first temperature threshold, this period is defined as the second operation period. During this period, due to the low ambient temperature, the rate of frosting will be relatively fast.

[0065] Step 302, obtaining the startup time of the auxiliary heating equipment. If the startup time of the auxiliary heating equipment is in the first operating period, inputting the state parameter into a preset abnormality monitoring model, and the abnormality monitoring model is used to perform abnormality monitoring on each state parameter. If the startup time of the auxiliary heating equipment is in the second operating period, obtaining the third temperature parameter of the surface of the gasification equipment according to the preset second time interval.

[0066] If the auxiliary heating device is started in the first operation period, it indicates that there may be an abnormality. At this time, the state parameters of the liquid storage device are input into the preset abnormality monitoring model to further check whether there are other faults or abnormalities.

[0067] If the auxiliary heating device is started during the second operation period, and the average temperature during the second operation period is less than the preset first temperature threshold, the auxiliary heating device is started normally.

[0068] Step 303, calculating the temperature difference between the third temperature parameter and the second average air temperature parameter, and when the temperature difference is greater than a preset temperature difference threshold, sending a shutdown signal to the gasification equipment.

[0069] Considering that even if the auxiliary heating device is turned on, it only slows down the rate of frost formation, and frost will continue to form, the surface temperature of the vaporizer, that is, the third temperature parameter, will continue to drop. When the temperature difference between the third temperature parameter and the second average temperature parameter is greater than the preset temperature difference threshold, the performance of the vaporization device begins to decline significantly or a safety hazard occurs, and the vaporization device needs to be shut down.

[0070] For reference, the preset temperature difference threshold is determined based on the historical operating data of the gasification equipment. For reference, collect the historical data of the gasification equipment, including but not limited to ambient temperature data, gasification equipment surface temperature data, and record the start-up time, frequency and operating time of the auxiliary heating equipment. Record the frost rate and degree of the gasifier surface under different environmental conditions; analyze historical data to find out the relationship between the surface temperature of the gasification equipment and the ambient temperature. Pay special attention to the changing trend of the surface temperature of the gasification equipment under low temperature environment (the second operating period). Calculate the temperature difference between the surface temperature of the gasification equipment and the average ambient temperature, and draw a curve of the temperature difference over time. Through data analysis, find a temperature difference threshold at which the performance of the gasification equipment begins to decline significantly or safety hazards appear.

[0071] It is understandable that in order to shorten the melting rate of frost on the surface of the gasification equipment and enable the gasification equipment to resume operating conditions more quickly, this embodiment only sends a shutdown signal to the gasification equipment, and does not send a shutdown signal to the auxiliary heating equipment. The auxiliary heating equipment is in operation, which can increase the melting rate of frost on the surface of the gasification equipment. When the temperature difference between the third temperature parameter and the second average temperature parameter is less than or equal to the preset temperature difference threshold, a startup signal is sent to the gasification equipment.

[0072] Furthermore, considering that the temperature of the surface of the gasification device is not accurate if it is only monitored by a single temperature sensor, in a possible implementation manner, obtaining the third temperature parameter of the surface of the gasification device at a preset second time interval includes the following steps:

[0073] Step 3021, calculating the straight-line distance between the temperature sensors at multiple positions on the surface of the gasification equipment and the heat source of the auxiliary heating equipment.

[0074] Step 3022: assign a weight to each temperature sensor based on the straight-line distance between each temperature sensor and the heat source of the auxiliary heating device.

[0075] Step 3023: Read temperature parameters from the temperature sensors at each point according to a preset second time interval.

[0076] Step 3024: multiply the temperature parameter of each temperature sensor by the corresponding weight to perform weighted averaging to obtain a third temperature parameter.

[0077] The calculation step of the above-mentioned third temperature parameter takes into account that, when the gasification equipment begins to frost, the temperature collected by the temperature sensor farther away from the heat source of the auxiliary heating equipment drops faster, and the temperature collected by the temperature sensor closer to the heat source of the auxiliary heating equipment drops slower. A weight is assigned to each temperature sensor. The farther the temperature sensor is from the heat source of the auxiliary heating equipment, the lower the weight, and the closer the temperature sensor is to the heat source of the auxiliary heating equipment, the higher the weight. This can extend the operating time of the gasifier as much as possible and more accurately reflect the overall thermal state of the gasification equipment.

[0078] In this embodiment, as the frosting process develops, sensors at different locations will gradually show a trend of decreasing temperature. The weighted average method can gradually reflect this change and avoid misjudgment caused by local frosting. Through the weighted average method, the system can extend the operating time of the gasification equipment as much as possible while ensuring safety. This is because the temperature parameter after weighted average can better represent the average state of the entire equipment, rather than relying solely on a local temperature change. The multi-sensor design provides redundancy. Even if a sensor fails, the data of other sensors can still be used to calculate the third temperature parameter to ensure the continuous operation of the system.

[0079] Step 400, when the air temperature parameter is greater than or equal to a preset first air temperature threshold and the first temperature parameter is less than a preset first temperature threshold, the state parameter is input into a preset abnormality monitoring model, and the abnormality monitoring model is used to perform abnormality monitoring on each state parameter.

[0080] For reference, in a possible implementation, the state parameters are input into a preset abnormality monitoring model, and the abnormality monitoring model is used to perform abnormality monitoring on each state parameter, including the following contents:

[0081] Each state parameter is normalized.

[0082] Calculate the standard score for each normalized state parameter.

[0083] Based on the historical status parameter data, an abnormal threshold is set for each status parameter.

[0084] Compare the standard score of each state parameter with the corresponding abnormal threshold. If the standard score is greater than the corresponding abnormal threshold, the state parameter is marked as abnormal.

[0085] For example, the standard score (Z-Score) of each state parameter can be calculated to determine the size of the standard score and the abnormal threshold. The formula is as follows:

[0086]

[0087] Where X is the current state parameter value, μ is the mean of historical data, and σ is the standard deviation.

[0088] If the absolute value of the Z-Score exceeds a certain threshold (such as 3 or 2.5), the state parameter is considered abnormal.

[0089] Step 500: If at least one state parameter is abnormal, a first alarm signal is sent and the process returns to step 100.

[0090] Step 600: If all status parameters are normal, execute step 700.

[0091] Step 700, calculating the heat absorption of the gasification equipment by using a preset heat absorption calculation model, and determining whether there is an abnormality in the heat absorption of the gasification equipment.

[0092] In a possible implementation, the preset heat absorption calculation model includes:

[0093]

[0094] in, The heat absorbed by the liquefied natural gas through the gasification equipment. is the heat transfer coefficient between the gasification equipment and the moist air, is the heat transfer area of ​​the outer surface of the gasification equipment; is the temperature parameter, is the fluid temperature of the micro-section in the gasification equipment. It can be understood that the heat transfer coefficient It can be determined experimentally or obtained from relevant literature. For a specific type of gasification equipment, the heat transfer area can be obtained by using empirical values ​​or fitting experimental data. It is the effective heat transfer area of ​​the outer surface of the gasification equipment. This can be obtained through the design drawings of the equipment or actual measurements. It is the ambient temperature, which is usually monitored in real time by a temperature sensor installed in the environment. It is the fluid temperature of the micro-section in the gasification equipment. This temperature can be monitored in real time by the temperature sensor installed inside the gasification equipment.

[0095] Step 800: If the heat absorption of the gasification equipment is abnormal, the composition of the gaseous natural gas at the outlet of the gasification equipment is monitored; if the composition of the gaseous natural gas is abnormal, a second alarm signal is sent.

[0096] Considering that natural gas composition monitoring usually requires specialized instruments and a long time. If the problem has been found and dealt with in the previous steps, there is no need to perform complex composition monitoring, thus saving time and resources. Composition monitoring is only performed when other parameters are confirmed to be normal. This avoids unnecessary complex operations when there are obvious problems with the system. Through the previous multiple steps, a large amount of data has been collected and the system has been fully monitored. In this case, if there is still an abnormality, composition monitoring can be used as a last resort to confirm whether there is a component abnormality.

[0097] In a possible implementation, the monitoring of the composition of the gaseous natural gas at the outlet of the gasification equipment includes the following:

[0098] Gaseous natural gas samples are collected from the outlet of the gasification equipment and input into the monitoring room as the gas to be tested.

[0099] Turn on the spectrum light source to emit infrared light in a preset wavelength range. After the infrared light passes through the gas to be tested, it is received by the spectrum monitor and converted into an electrical signal.

[0100] The received electrical signal is amplified and filtered to obtain the corresponding spectral data.

[0101] The spectral data is compared and analyzed with the preset natural gas component database, and the absorption spectral characteristics of each component in natural gas are extracted using spectrum processing and analysis technology.

[0102] The content of each component in natural gas is determined based on the intensity and position of the absorption spectrum features.

[0103] The content of each component in the natural gas is compared with a preset standard range.

[0104] If the content of at least one component exceeds the standard range, it is judged as abnormal.

[0105] Considering that the spectral data will be affected by whether the monitoring temperature is too high or too low, in a possible implementation manner, the step of collecting a gaseous natural gas sample from the outlet of the gasification equipment and inputting it into the monitoring chamber as the gas to be tested also includes the following:

[0106] Determine whether the air temperature parameter meets the preset monitoring room temperature threshold range. If the air temperature parameter does not meet the preset monitoring room temperature threshold range, adjust the temperature in the monitoring room so that the temperature in the monitoring room is within the preset monitoring room temperature threshold range.

[0107] Step 900: If there is no abnormality in the heat absorption of the gasification equipment, then return to step 200.

[0108] In summary, this embodiment realizes comprehensive and systematic monitoring of the natural gas conversion state by simultaneously monitoring environmental parameters, liquid storage equipment state parameters, and gasification equipment outlet temperature parameters. Compared with the traditional single parameter monitoring method, it can more accurately reflect the overall picture of the natural gas conversion state and provide sufficient information support for subsequent decision-making and control.

[0109] According to the air temperature parameters and the gasification equipment outlet temperature parameters, the auxiliary heating equipment is intelligently started, and when necessary, the temperature difference between the surface temperature of the gasification equipment and the ambient temperature is calculated to send a shutdown signal in time, avoiding performance degradation or safety hazards caused by frosting. At the same time, the coordinated control of the auxiliary heating equipment and the gasification equipment improves the overall operating efficiency of the system.

[0110] Through the preset abnormal monitoring model, the state parameters of the liquid storage equipment are standardized and the standard scores are calculated, realizing timely early warning of potential faults. Once an abnormal state parameter is detected, an alarm signal is immediately sent to facilitate timely measures.

[0111] After confirming that other parameters are normal, the gaseous natural gas at the outlet of the gasification equipment is monitored for composition to ensure the accuracy and necessity of monitoring. Through spectral analysis technology, the absorption spectrum characteristics of each component in natural gas can be accurately extracted and its content can be determined, providing a strong guarantee for the quality of natural gas. Before collecting gaseous natural gas samples for component monitoring, first determine whether the temperature of the monitoring room meets the preset range. If not, adjust it. This step ensures the stability of the monitoring environment and improves the accuracy and reliability of component monitoring.

[0112] Embodiment 2, as Figure 2As shown, a natural gas conversion state monitoring system, the natural gas conversion state monitoring method described in Application Example 1, includes: an acquisition unit, the acquisition unit is used to acquire environmental parameters, state parameters of a liquid storage device, and a first temperature parameter of a gasification device outlet at a preset first time interval; wherein the environmental parameters include air temperature parameters, and the state parameters include a second temperature parameter in the liquid storage device, a first pressure parameter in the liquid storage device, a liquid level parameter in the liquid storage device, and a flow parameter at a liquid storage device outlet; a comparison unit, the comparison unit is used to compare the air temperature parameter with a preset first air temperature threshold, and compare the first temperature parameter with a preset first temperature threshold; a control unit, the control unit is used to start the auxiliary heating device when the first temperature parameter is less than the preset first temperature threshold; an abnormality monitoring unit, the abnormality monitoring unit is used to start the auxiliary heating device when the abnormality monitoring unit is When the temperature parameter is greater than or equal to a preset first temperature threshold and the first temperature parameter is less than a preset first temperature threshold, the state parameter is input into a preset abnormal monitoring model, and the abnormal monitoring model is used to perform abnormal monitoring on each state parameter; a first early warning unit, if there is at least one state parameter abnormal, the first early warning unit is used to send a first alarm signal; an energy consumption monitoring unit, if all state parameters are normal, the energy consumption monitoring unit is used to calculate the heat absorption of the gasification equipment through a preset heat absorption calculation model, and determine whether there is an abnormality in the heat absorption of the gasification equipment; a component monitoring unit, if there is an abnormality in the heat absorption of the gasification equipment, the component monitoring unit is used to monitor the composition of the gaseous natural gas at the outlet of the gasification equipment; a second early warning unit, if the composition of the gaseous natural gas is abnormal, the second early warning unit is used to send a second alarm signal.

[0113] The above-mentioned embodiments only express the specific implementation of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention.

Claims

1. A natural gas conversion status monitoring method, characterized in that: Includes the following: Acquire environmental parameters, state parameters of the liquid storage device, and a first temperature parameter of the gasification device outlet at a preset first time interval; wherein the environmental parameters include air temperature parameters, and the state parameters include a second temperature parameter in the liquid storage device, a first pressure parameter in the liquid storage device, a liquid level parameter in the liquid storage device, and a flow parameter at the liquid storage device outlet; Comparing the air temperature parameter with a preset first air temperature threshold, and comparing the first temperature parameter with a preset first temperature threshold; when the first temperature parameter is less than the preset first temperature threshold, starting the auxiliary heating device; When the temperature parameter is greater than or equal to a preset first temperature threshold and the first temperature parameter is less than a preset first temperature threshold, the state parameter is input into a preset abnormality monitoring model, and the abnormality monitoring model is used to perform abnormality monitoring on each state parameter; If at least one state parameter is abnormal, a first alarm signal is sent; If all state parameters are normal, the heat absorption of the gasification equipment is calculated using a preset heat absorption calculation model to determine whether there is any abnormality in the heat absorption of the gasification equipment; If there is an abnormality in the heat absorption of the gasification equipment, the composition of the gaseous natural gas at the outlet of the gasification equipment is monitored; if the composition of the gaseous natural gas is abnormal, a second alarm signal is sent.

2. A natural gas conversion status monitoring method according to claim 1, characterized in that: When the first temperature parameter is less than a preset first temperature threshold, starting the auxiliary heating device further includes the following: The operation time of the gasification equipment is divided into a first operation period and a second operation period; wherein the first average temperature parameter in the first operation period is greater than or equal to a preset first temperature threshold; and the second average temperature parameter in the second operation period is less than the preset first temperature threshold; Obtaining the startup time of the auxiliary heating device, if the startup time of the auxiliary heating device is in the first operating period, inputting the state parameter into a preset abnormality monitoring model, the abnormality monitoring model is used to perform abnormality monitoring on each state parameter, if the startup time of the auxiliary heating device is in the second operating period, obtaining a third temperature parameter of the surface of the gasification device according to a preset second time interval; The temperature difference between the third temperature parameter and the second average air temperature parameter is calculated, and when the temperature difference is greater than a preset temperature difference threshold, a shutdown signal is sent to the gasification equipment.

3. A natural gas conversion status monitoring method according to claim 2, characterized in that: The step of obtaining the third temperature parameter of the surface of the gasification equipment according to the preset second time interval includes the following contents: Calculate the straight-line distance between the temperature sensors at multiple locations on the surface of the gasification equipment and the heat source of the auxiliary heating equipment; Assign a weight to each temperature sensor based on the straight-line distance between each temperature sensor and the heat source of the auxiliary heating device; According to a preset second time interval, reading temperature parameters from the temperature sensors at each point; The temperature parameter of each temperature sensor is multiplied by the corresponding weight to perform weighted averaging to obtain a third temperature parameter.

4. A natural gas conversion status monitoring method according to claim 1, characterized in that: The state parameters are input into a preset abnormality monitoring model, and the abnormality monitoring model is used to perform abnormality monitoring on each state parameter, including the following contents: Standardize each state parameter; Calculate the standard score for each standardized state parameter; Based on historical status parameter data, an abnormal threshold is set for each status parameter; Compare the standard score of each state parameter with the corresponding abnormal threshold. If the standard score is greater than the corresponding abnormal threshold, the state parameter is marked as abnormal.

5. A natural gas conversion status monitoring method according to claim 1, characterized in that: The preset heat absorption calculation model includes: ； in, The heat absorbed by the liquefied natural gas through the gasification equipment. is the heat transfer coefficient between the gasification equipment and the moist air, is the heat transfer area of ​​the outer surface of the gasification equipment; is the temperature parameter, is the fluid temperature of the micro-section in the gasification equipment.

6. A natural gas conversion status monitoring method according to claim 1, characterized in that: The composition monitoring of the gaseous natural gas at the outlet of the gasification equipment includes the following contents: Gaseous natural gas samples are collected from the outlet of the gasification equipment and input into the monitoring room as the gas to be tested; Turn on the spectrum light source to emit infrared light in a preset wavelength range. After the infrared light passes through the gas to be tested, it is received by the spectrum monitor and converted into an electrical signal. Amplify and filter the received electrical signal to obtain corresponding spectral data; Compare and analyze the spectral data with the preset natural gas component database, and use spectrum processing and analysis technology to extract the absorption spectrum characteristics of each component in natural gas; Determine the content of each component in natural gas based on the intensity and position of the absorption spectrum features; comparing the content of each component in the natural gas with a preset standard range; If the content of at least one component exceeds the standard range, it is judged as abnormal.

7. A natural gas conversion status monitoring method according to claim 6, characterized in that: The method of collecting gaseous natural gas samples from the outlet of the gasification equipment and inputting them into the monitoring room as the gas to be tested also includes the following contents: Determine whether the air temperature parameter meets the preset monitoring room temperature threshold range. If the air temperature parameter does not meet the preset monitoring room temperature threshold range, adjust the temperature in the monitoring room so that the temperature in the monitoring room is within the preset monitoring room temperature threshold range.

8. A natural gas conversion status monitoring system, characterized in that: The natural gas conversion state monitoring method according to any one of claims 1 to 7 comprises: An acquisition unit, the acquisition unit is used to acquire environmental parameters, state parameters of the liquid storage device, and a first temperature parameter of the gasification device outlet according to a preset first time interval; wherein the environmental parameters include air temperature parameters, and the state parameters include a second temperature parameter in the liquid storage device, a first pressure parameter in the liquid storage device, a liquid level parameter in the liquid storage device, and a flow parameter of the liquid outlet of the liquid storage device; A comparison unit, the comparison unit is used to compare the temperature parameter with a preset first temperature threshold, and compare the first temperature parameter with a preset first temperature threshold; A control unit, wherein the control unit is used to start the auxiliary heating device when the first temperature parameter is less than a preset first temperature threshold; an abnormality monitoring unit, wherein the abnormality monitoring unit is used to input the state parameter into a preset abnormality monitoring model when the temperature parameter is greater than or equal to a preset first temperature threshold and the first temperature parameter is less than a preset first temperature threshold, and the abnormality monitoring model is used to perform abnormality monitoring on each state parameter; A first early warning unit, configured to send a first alarm signal if at least one state parameter is abnormal; An energy consumption monitoring unit, if all state parameters are normal, the energy consumption monitoring unit is used to calculate the heat absorption of the gasification equipment through a preset heat absorption calculation model to determine whether there is an abnormality in the heat absorption of the gasification equipment; A component monitoring unit, which is used to monitor the composition of the gaseous natural gas at the outlet of the gasification equipment if there is an abnormality in the heat absorption of the gasification equipment; The second early warning unit is used to send a second alarm signal if the composition of the natural gas is abnormal.

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