Natural gas transportation tank leakage monitoring alarm system and alarm method thereof

Abstract

The invention provides a natural gas transportation tank leakage monitoring and alarming system and an alarming method thereof. Natural gas concentration data of different warehouse identification blocks are obtained through monitoring; for each warehouse identification block, data fluctuation characteristics of the natural gas concentration data are determined, the natural gas concentration data are converted into corresponding leakage identification factors according to the data fluctuation characteristics, all the leakage identification factors are obtained, and warehouse leakage alarm blocks are determined according to all the leakage identification factors; obtaining pressure data of a tank body, and predicting according to the pressure data of the tank body to obtain a turbulence monitoring coefficient of natural gas turbulence; and determining a diffusion gradient by combining the natural gas turbulence turbulence monitoring coefficient and the leakage identification factor, and sending natural gas leakage alarm information to a warehouse monitoring center based on the diffusion gradient. By adopting the scheme, the natural gas leakage block can be positioned in time in the natural gas transportation tank warehouse, and the leakage urgency level of the natural gas transportation tank can be accurately judged, so that the leakage of the natural gas transportation tank can be credibly alarmed.

Description

Technical Field

[0001] The present application relates to the technical field of combustible gas alarm, and more specifically, to a natural gas transport tank leakage monitoring and alarm system and an alarm method thereof. Background Art

[0002] The natural gas transport tank leakage monitoring and alarm system is used to monitor leakage in natural gas transport tanks and the concentration of natural gas in the warehouse. Once it is detected that the concentration of natural gas exceeds the safe range, the natural gas transport tank leakage monitoring and alarm system will send an alarm to the warehouse monitoring center and take timely measures to avoid accidents such as fire or explosion.

[0003] By deploying sensors and monitoring equipment, the natural gas transport tank leakage monitoring and alarm system can monitor the status of the natural gas transport tank and the natural gas concentration in the warehouse in real time, and realize accurate monitoring and timely alarm of the leakage according to the monitoring situation and the storage information in the warehouse. However, in the existing technology, since natural gas leakage may occur in different positions of the transport tank and the coverage of the sensors in the warehouse is limited, there will be monitoring blind spots, and it is impossible to locate the natural gas leakage position in the natural gas transport tank warehouse in time and accurately judge the leakage situation of the natural gas transport tank. Therefore, how to locate the natural gas leakage block in time in the natural gas transport tank warehouse and accurately judge the leakage urgency level of the natural gas transport tank to realize reliable alarm of natural gas transport tank leakage is a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a natural gas transport tank leakage monitoring and alarm system and an alarm method thereof, which can timely locate the natural gas leakage block in the natural gas transport tank warehouse and accurately determine the leakage urgency level of the natural gas transport tank, so as to realize a reliable alarm for the leakage of the natural gas transport tank.

[0005] In a first aspect, the present application provides a natural gas transport tank leakage monitoring and alarm method, comprising the following steps: Monitor the natural gas concentration of different warehouse identification blocks in the natural gas transport tank warehouse and obtain the natural gas concentration data of different warehouse identification blocks; For each warehouse identification block, determine the data fluctuation characteristics of the natural gas concentration data of the warehouse identification block, convert the natural gas concentration data of the warehouse identification block into a corresponding leakage identification factor according to the data fluctuation characteristics, and then obtain the leakage identification factor corresponding to each warehouse identification block, and determine the warehouse leakage alarm block in the natural gas transport tank warehouse according to all the leakage identification factors; The tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block is collected, and the natural gas turbulence at the leakage hole of the natural gas transport tank is predicted according to the tank pressure to obtain the turbulence monitoring coefficient of the natural gas turbulence; The diffusion gradient of the natural gas transport tank leakage is determined by combining the turbulence monitoring coefficient of the natural gas turbulence and the leakage identification factor corresponding to the warehouse leakage alarm block, and the natural gas leakage alarm information is sent to the warehouse monitoring center based on the diffusion gradient.

[0006] In some embodiments, the natural gas concentration in different storage identification blocks in the natural gas transportation tank storage is monitored by a combustible gas concentration sensor.

[0007] In some embodiments, converting the natural gas concentration data of the warehouse identification block into a corresponding leakage identification factor according to the data fluctuation characteristics specifically includes: converting the natural gas concentration data of the warehouse identification block into corresponding natural gas concentration homogeneous data by using the data fluctuation characteristics; Fitting the natural gas concentration homogeneity data to obtain a natural gas concentration curve of the warehouse identification block; The leakage identification factor corresponding to the warehouse identification block is determined according to the natural gas concentration curve.

[0008] In some embodiments, determining the data fluctuation characteristics of the natural gas concentration data of the warehouse identification block specifically includes: Determining a concentration of natural gas concentration data for an identified block of the warehouse; determining a deviation value of the natural gas concentration data of the warehouse identification block; The data fluctuation characteristics of the warehouse identification block are determined by the aggregation degree and deviation value of the natural gas concentration data.

[0009] In some embodiments, the tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block is collected by a pressure sensor.

[0010] In some embodiments, predicting the natural gas turbulence at the leakage hole of the natural gas transport tank according to the tank pressure to obtain the turbulence monitoring coefficient of the natural gas turbulence specifically includes: extracting the pressure distribution at the leakage hole of the natural gas transport tank from the tank pressure data; Based on the pressure distribution, the natural gas turbulence at the leakage hole of the natural gas transport tank is predicted to obtain the turbulence degree of the natural gas turbulence; Performing numerical simulation on the leakage hole of the natural gas transport tank to obtain the leakage hole area and leakage hole shape at the leakage hole of the natural gas transport tank; Determine the flow coefficient by the shape of the leakage hole; The turbulence monitoring coefficient of the natural gas turbulence is determined based on the tank pressure data, the turbulence degree of the natural gas turbulence, the leakage hole area and the flow coefficient.

[0011] In some embodiments, sending natural gas leakage alarm information to a warehouse monitoring center based on the diffusion gradient specifically includes: Determining the diffusion gradient modulus; Obtain a leakage urgency level table corresponding to each diffusion gradient modulus value in the warehouse identification system; Determine the leakage urgency level of the natural gas transport tank in the warehouse leakage alarm block by using the diffusion gradient modulus and the leakage urgency level table; A natural gas leakage alarm message is sent to a warehouse monitoring center according to the leakage urgency level of the natural gas transport tank.

[0012] In a second aspect, the present application provides a natural gas transport tank leakage monitoring and alarm system, including an alarm unit, wherein the alarm unit includes: A monitoring module, used to monitor the natural gas concentration of different warehouse identification blocks in the natural gas transport tank warehouse, and obtain the natural gas concentration data of different warehouse identification blocks; A processing module, for determining, for each warehouse identification block, a data fluctuation feature of the natural gas concentration data of the warehouse identification block, converting the natural gas concentration data of the warehouse identification block into a corresponding leakage identification factor according to the data fluctuation feature, thereby obtaining a leakage identification factor corresponding to each warehouse identification block, and determining a warehouse leakage alarm block in the natural gas transport tank warehouse according to all the leakage identification factors; The processing module is further used to collect the tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block, predict the natural gas turbulence at the leakage hole of the natural gas transport tank according to the tank pressure, and obtain the turbulence monitoring coefficient of the natural gas turbulence; An execution module is used to determine the diffusion gradient of the natural gas transport tank leakage in combination with the turbulence monitoring coefficient of the natural gas turbulence and the leakage identification factor corresponding to the warehouse leakage alarm block, and send natural gas leakage alarm information to the warehouse monitoring center based on the diffusion gradient.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned natural gas transport tank leakage monitoring and alarm method.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are run on a computer, the computer implements the above-mentioned natural gas transport tank leakage monitoring and alarm method when executed.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In a natural gas transport tank leakage monitoring and alarm system and alarm method provided by the present application, the natural gas concentration of different warehouse identification blocks in the natural gas transport tank warehouse is monitored to obtain the natural gas concentration data of the different warehouse identification blocks; for each warehouse identification block, the data fluctuation characteristics of the natural gas concentration data of the warehouse identification block are determined, and the natural gas concentration data of the warehouse identification block is converted into a corresponding leakage identification factor based on the data fluctuation characteristics, thereby obtaining the leakage identification factor corresponding to each warehouse identification block, and determining the warehouse leakage alarm block in the natural gas transport tank warehouse based on all the leakage identification factors; the tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block is collected, and the natural gas turbulence at the leakage hole of the natural gas transport tank is predicted based on the tank pressure to obtain the turbulence monitoring coefficient of the natural gas turbulence; the diffusion gradient of the natural gas transport tank leakage is determined in combination with the turbulence monitoring coefficient of the natural gas turbulence and the leakage identification factor corresponding to the warehouse leakage alarm block, and the natural gas leakage alarm information is sent to the warehouse monitoring center based on the diffusion gradient.

[0016] It can be seen that in the present application, when a leak occurs in a natural gas transport tank warehouse, the natural gas leak block can be located in a timely and accurate manner and the leakage urgency level of the natural gas transport tank can be accurately determined, so as to realize a reliable alarm for the leakage of the natural gas transport tank; wherein, by converting the natural gas concentration data of the warehouse identification block into a leak identification factor, the leak identification factor can be used to more quickly determine the warehouse identification block where the leak occurs, so as to locate the location of the leak in a timely manner and improve the response speed to the leakage incident; then, based on the tank pressure data, by predicting the natural gas at the leakage hole of the natural gas transport tank, the leakage situation at the leakage hole can be intuitively and accurately understood, and the leakage rate at the leakage hole of the natural gas transport tank can be reflected by the predicted turbulence monitoring coefficient, so as to facilitate the subsequent more convenient quantification of the danger level of the natural gas leak; finally, by combining the turbulence monitoring coefficient of the natural gas turbulence and the leakage identification factor corresponding to the warehouse leakage alarm block to determine the diffusion gradient of the natural gas transport tank leakage, the leakage urgency of the natural gas transport tank leakage is quantified, so as to facilitate the use of the diffusion gradient to send the natural gas leak alarm information to the warehouse monitoring center. In summary, the technical solution provided by the present application can timely locate the natural gas leakage block in the natural gas transport tank warehouse and accurately determine the leakage urgency level of the natural gas transport tank, so as to realize a reliable alarm for the leakage of the natural gas transport tank. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0018] Figure 1 is an exemplary flow chart of a natural gas transport tank leakage monitoring and alarm method according to some embodiments of the present application; Figure 2 is an exemplary flow chart of determining a leakage identification factor according to some embodiments of the present application; Figure 3 is an exemplary flow chart for determining a turbulence monitoring coefficient according to some embodiments of the present application; Figure 4 is a schematic diagram of exemplary hardware and / or software of an alarm unit according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a natural gas transport tank leakage monitoring and alarm method according to some embodiments of the present application. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0020] The embodiment of the present application provides a natural gas transport tank leakage monitoring and alarm system and an alarm method thereof, the core of which is to monitor the natural gas concentration of different warehouse identification blocks in the natural gas transport tank warehouse, and obtain the natural gas concentration data of different warehouse identification blocks; for each warehouse identification block, determine the data fluctuation characteristics of the natural gas concentration data of the warehouse identification block, convert the natural gas concentration data of the warehouse identification block into the corresponding leakage identification factor according to the data fluctuation characteristics, and then obtain the leakage identification factor corresponding to each warehouse identification block, and determine the warehouse leakage alarm block in the natural gas transport tank warehouse according to all the leakage identification factors; collect the tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block, predict the natural gas turbulence at the leakage hole of the natural gas transport tank according to the tank pressure, and obtain the turbulence monitoring coefficient of the natural gas turbulence; determine the diffusion gradient of the leakage of the natural gas transport tank by combining the turbulence monitoring coefficient of the natural gas turbulence and the leakage identification factor corresponding to the warehouse leakage alarm block, and send the natural gas leakage alarm information to the warehouse monitoring center based on the diffusion gradient. The above scheme can timely locate the natural gas leakage block in the natural gas transport tank warehouse and accurately judge the leakage urgency level of the natural gas transport tank, so as to realize the reliable alarm of the leakage of the natural gas transport tank.

[0021] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 , which is an exemplary flow chart of a natural gas transport tank leakage monitoring and alarming method according to some embodiments of the present application. The natural gas transport tank leakage monitoring and alarming method 100 mainly includes the following steps: In step 101, the natural gas concentration of different warehouse identification blocks in the natural gas transport tank warehouse is monitored to obtain the natural gas concentration data of the different warehouse identification blocks.

[0022] Preferably, in some embodiments, the natural gas concentration of different warehouse identification blocks in the natural gas transport tank warehouse is monitored by a combustible gas concentration sensor; in specific implementation, the natural gas transport tank warehouse can be divided into multiple warehouse identification blocks, and the natural gas concentration of different warehouse identification blocks within a specified time period is monitored by the combustible gas concentration sensor deployed in the natural gas transport tank warehouse, thereby obtaining the natural gas concentration data of the different warehouse identification blocks; it should be noted that the combustible gas concentration sensor used in the present application is a semiconductor sensor, and other types of combustible gas concentration sensors can also be used in actual implementation, and the natural gas concentration data is data consisting of a series of natural gas concentration values ​​arranged in time.

[0023] In step 102, for each warehouse identification block, the data fluctuation characteristics of the natural gas concentration data of the warehouse identification block are determined, and the natural gas concentration data of the warehouse identification block is converted into a corresponding leakage identification factor based on the data fluctuation characteristics, thereby obtaining the leakage identification factor corresponding to each warehouse identification block, and determining the warehouse leakage alarm block in the natural gas transport tank warehouse based on all the leakage identification factors.

[0024] It should be noted that in the present application, the leakage identification factor is a characteristic factor used to identify the rate of increase of natural gas leakage concentration in the warehouse identification block. The larger the leakage identification factor, the faster the rate of increase of natural gas concentration in the warehouse identification block, which indicates that the possibility of leakage in the warehouse identification block is greater, that is, the natural gas transport tank in the warehouse identification block may have a leak.

[0025] In some embodiments, the data fluctuation characteristics of the natural gas concentration data of the warehouse identification block may be determined in the following manner, namely: Determining a concentration of natural gas concentration data for an identified block of the warehouse; determining a deviation value of the natural gas concentration data of the warehouse identification block; The data fluctuation characteristics of the natural gas concentration data of the warehouse identification block are determined by the aggregation degree and deviation value of the natural gas concentration data.

[0026] It should be noted that, in the present application, the data fluctuation feature is a feature that represents the overall abnormal fluctuation degree of the natural gas concentration data of the warehouse identification block, and the clustering degree represents the concentration degree of the overall value of the natural gas concentration data; in specific implementation, first, the ratio of the sum of all natural gas concentration values ​​in the natural gas concentration data of the warehouse identification block to the total number of natural gas concentration values ​​can be calculated, and the result can be dimensionally eliminated, so that the result after dimension elimination can be used as the clustering degree of the natural gas concentration data of the warehouse identification block; then, for each natural gas concentration value in the natural gas concentration data, the difference between the natural gas concentration value and the mean of all natural gas concentration values ​​can be used as the deviation value of the natural gas concentration value, so as to obtain the deviation value of each natural gas concentration value, and the mean of all deviation values ​​can be used as the deviation value of the natural gas concentration data of the warehouse identification block; finally, the square of the difference between the clustering degree of the natural gas concentration data and the deviation value of the natural gas concentration data can be subtracted from the deviation value of the natural gas concentration data, and the result obtained after squaring can be used as the characteristic value of the data fluctuation feature, that is, the data fluctuation feature of the natural gas concentration data of the warehouse identification block is obtained.

[0027] Preferably, in some embodiments, reference Figure 2 As shown in FIG. 1 , this figure is an exemplary flow chart for determining a leakage identification factor in some embodiments of the present application. In this embodiment, converting the natural gas concentration data of the warehouse identification block into the corresponding leakage identification factor according to the data fluctuation characteristics can be achieved by the following steps: First, in step 1021, the natural gas concentration data of the warehouse identification block is converted into corresponding natural gas concentration homogeneous data by using the data fluctuation characteristics; Then, in step 1022, the natural gas concentration homogeneity data is fitted to obtain a natural gas concentration curve of the warehouse identification block; Finally, in step 1023, the leakage identification factor corresponding to the warehouse identification block is determined according to the natural gas concentration curve.

[0028] In specific implementation, first, if the data fluctuation characteristic of the warehouse identification block is not greater than zero, the natural gas concentration data of the warehouse identification block is directly used as the natural gas concentration homogeneous data corresponding to the warehouse identification block; if the data fluctuation characteristic of the warehouse identification block is greater than zero, each natural gas concentration value in the natural gas concentration data of the warehouse identification block is subtracted from the mean of all natural gas concentration values, and the result is used as the natural gas concentration homogeneous data corresponding to the warehouse identification block; then, a polynomial fitting can be performed on the natural gas concentration homogeneous data to obtain a fitting curve, and the fitting curve is used as the natural gas concentration curve of the warehouse identification block; finally, the natural gas concentration curve can be divided into multiple sub-curves, and the average slope of each sub-curve is calculated, so that the average of the average slopes of all sub-curves is used as the leakage identification factor corresponding to the warehouse identification block. The leakage identification factor corresponding to each warehouse identification block can be obtained in the above manner.

[0029] It should be noted that, for each warehouse identification block, the natural gas concentration data of the warehouse identification block is smoothed by using data fluctuation characteristics to reduce abnormal fluctuation interference in the data and improve the accuracy of subsequent fitting processing, thereby obtaining a more accurate natural gas concentration curve. The leakage identification factor corresponding to the warehouse identification block can be determined based on the natural gas concentration curve, and the leakage identification factor can be used to identify the rising rate of natural gas leakage concentration in the warehouse identification block, providing a basis for judging the leakage situation of the warehouse identification block.

[0030] In some embodiments, the warehouse leakage alarm block in the natural gas transport tank warehouse is screened out according to all leakage identification factors, that is, the warehouse identification block corresponding to the largest leakage identification factor among all leakage identification factors is used as the warehouse leakage alarm block in the natural gas transport tank warehouse; it should be noted that the largest leakage identification factor indicates that the natural gas concentration rising rate of the warehouse identification block is the fastest among all the warehouse identification blocks in the natural gas transport tank warehouse, which indicates that the possibility of leakage in the warehouse identification block is the highest, which can prove that the natural gas transport tank in the warehouse identification block has leaked, so the warehouse identification block can be used as the warehouse leakage alarm block in the natural gas transport tank warehouse, and it is urgent to detect the natural gas transport tanks in the warehouse identification block, and locate the leakage location (that is, the natural gas transport tank where the leakage occurs) in time to determine the leakage level of the natural gas transport tank and send an alarm message.

[0031] It should be noted that by converting the natural gas concentration data of the warehouse identification block into a leak identification factor, the leak identification factor can be used to more quickly determine the warehouse identification block where the leak occurs, so as to locate the leak in a timely manner and improve the response speed to the leak incident.

[0032] In step 103, the tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block is collected, and the natural gas turbulence at the leakage hole of the natural gas transport tank is predicted based on the tank pressure to obtain the turbulence monitoring coefficient of the natural gas turbulence.

[0033] In some embodiments, the tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block is collected by a pressure sensor; it should be noted that the pressure sensor is pre-deployed on the natural gas transport tank, and the tank pressure data at the leakage hole of the natural gas transport tank can be collected in real time through the pressure sensor; in specific implementation, after locating the natural gas transport tank where a leak occurs in the warehouse leakage alarm block, the tank pressure data at the leakage hole of the natural gas transport tank can be obtained through the pressure sensor, and the tank pressure data includes the tank pressure value of each point on the natural gas transport tank.

[0034] Preferably, in some embodiments, reference Figure 3 As shown in FIG. 1 , this figure is an exemplary flow chart for determining the turbulence monitoring coefficient in some embodiments of the present application. In this embodiment, the natural gas turbulence at the leakage hole of the natural gas transport tank is predicted based on the tank pressure, and the turbulence monitoring coefficient of the natural gas turbulence can be obtained by the following steps: In step 1031, the pressure distribution at the leakage hole of the natural gas transport tank is extracted from the tank pressure data; In step 1032, the natural gas turbulence at the leakage hole of the natural gas transportation tank is predicted based on the pressure distribution to obtain the turbulence degree of the natural gas turbulence; In step 1033, numerical simulation is performed on the leakage hole of the natural gas transportation tank to obtain the leakage hole area and leakage hole shape at the leakage hole of the natural gas transportation tank; In step 1034, a flow coefficient is determined by the shape of the leakage hole; In step 1035, a turbulence monitoring coefficient of the natural gas turbulence is determined based on the tank pressure data, the turbulence degree of the natural gas turbulence, the leakage hole area and the flow coefficient.

[0035] It should be noted that, in the present application, the turbulence monitoring coefficient is a monitoring coefficient used to indicate the natural gas leakage rate at the leakage hole of the natural gas transport tank. The larger the turbulence monitoring coefficient is, the greater the flow rate of the leaked natural gas at the leakage hole of the natural gas transport tank is, indicating that the danger level at the leakage hole is high and may cause dangerous situations such as explosions; turbulence is an indicator used to measure the turbulent flow velocity of natural gas at the leakage hole of the natural gas transport tank; the flow coefficient is a dimensionless parameter used to adjust the accuracy of the turbulence monitoring coefficient.

[0036] In the specific implementation, firstly, the pressure distribution at the leakage hole of the natural gas transport tank can be extracted from the tank pressure data, that is, all the tank pressure values ​​at the edge of the leakage hole of the natural gas transport tank can be extracted from the tank pressure data, and all the extracted tank pressure values ​​can constitute the pressure distribution at the leakage hole of the natural gas transport tank; then, the fluid dynamics model in the simulation software can be obtained, and the pressure distribution can be input into the fluid dynamics model to predict the natural gas turbulence at the leakage hole of the natural gas transport tank, so as to obtain the natural gas flow velocity at the leakage hole of the natural gas transport tank, and the natural gas flow velocity can be used as the turbulence degree at the leakage hole of the natural gas transport tank; secondly, the tank parameters of the natural gas transport tank and the basic parameters of natural gas can be used in the numerical simulation software In the present invention, the leakage hole of the natural gas transport tank is numerically simulated, so as to obtain the leakage hole area and the leakage hole shape at the leakage hole of the natural gas transport tank; further, the flow coefficient can be determined by the leakage hole shape, for example, when the leakage hole shape is circular, the flow coefficient is 1, when the leakage hole shape is triangular, the flow coefficient is 0.95, and when the leakage hole shape is rectangular, the flow coefficient is 0.9; finally, the difference between the pressure at the leakage hole of the natural gas transport tank and the external pressure can be calculated by the tank pressure data and the external pressure, and the product of the difference and the turbulence is taken as the first result, and the product of the leakage hole area and the flow coefficient is taken as the second result, so that the product of the first result and the second result is taken as the turbulence monitoring coefficient of the natural gas turbulence.

[0037] It should be noted that by predicting the natural gas at the leakage hole of the natural gas transport tank based on the tank pressure data, the leakage situation at the leakage hole can be understood intuitively and accurately, and the leakage rate at the leakage hole of the natural gas transport tank can be reflected by the predicted turbulence monitoring coefficient, which is convenient for subsequent quantification of the danger level of natural gas leakage.

[0038] In step 104, the diffusion gradient of the natural gas transport tank leakage is determined by combining the turbulence monitoring coefficient of the natural gas turbulence and the leakage identification factor corresponding to the warehouse leakage alarm block, and natural gas leakage alarm information is sent to the warehouse monitoring center based on the diffusion gradient.

[0039] It should be noted that in the present application, the diffusion gradient refers to the rate at which the concentration of natural gas changes with space in a predetermined direction. When evaluating natural gas leaks, the diffusion gradient can help us understand the propagation rate and direction of the leaked gas in the environment. The larger the diffusion gradient modulus, the faster the natural gas transport tank leaks, the more urgent the leak, and the more likely an explosion may occur. Therefore, emergency measures should be taken in a timely manner for natural gas transport tanks with larger diffusion gradient modulus values ​​to avoid more dangerous situations.

[0040] In specific implementation, computational fluid dynamics (CFD) simulation can be used to combine the leakage identification factor and the turbulence monitoring coefficient of natural gas turbulence to predict the diffusion gradient of the natural gas tank leakage. Preferably, in some embodiments, the diffusion gradient of the natural gas transport tank leakage can be determined by combining the turbulence monitoring coefficient of the natural gas turbulence and the leakage identification factor corresponding to the warehouse leakage alarm block. Specifically, the following method can be used, namely: Preset adjustment parameters and obtain pre-trained neural network models; The turbulence monitoring coefficient of the natural gas turbulence, the leakage identification factor corresponding to the warehouse leakage alarm block and the adjustment parameter are input into the neural network model for quantification to obtain a diffusion gradient quantification result; The diffusion gradient quantification result is used as the diffusion gradient of the natural gas transport tank leakage.

[0041] In the specific implementation, first, the adjustment parameters can be preset according to the historical experimental data, and the adjustment parameters can be used as weights for adjustment when the neural network model performs prediction optimization, and a neural network model can be pre-trained by setting the number of neurons in the hidden layer, the learning rate, etc. to train the neural network model; then, the turbulence monitoring coefficient of the natural gas turbulence, the leakage identification factor corresponding to the warehouse leakage alarm block, and the adjustment parameters can be used as input data and input into the pre-trained neural network model for quantization, and the neural network model will quantize the diffusion gradient quantization result of the natural gas transport tank leakage according to the characteristics of the input data; finally, the diffusion gradient quantization result can be used as the diffusion gradient of the natural gas transport tank leakage.

[0042] In some embodiments, the natural gas leakage alarm information is sent to the warehouse monitoring center based on the diffusion gradient in the following manner, namely: Determining the diffusion gradient modulus; Obtain a leakage urgency level table corresponding to each diffusion gradient modulus value in the warehouse identification system; Determine the leakage urgency level of the natural gas transport tank in the warehouse leakage alarm block by using the diffusion gradient modulus and the leakage urgency level table; A natural gas leakage alarm message is sent to a warehouse monitoring center according to the leakage urgency level of the natural gas transport tank.

[0043] In specific implementation, first, the diffusion gradient modulus can be determined by taking the square root of the sum of the squares of its components. This modulus provides the strength of the diffusion gradient in all directions and can be used to evaluate the severity of the leak or the intensity of the diffusion process. Secondly, the warehouse identification system is an integrated system used for identification in the natural gas transport tank warehouse. The leakage urgency level table corresponding to each diffusion gradient modulus value in the warehouse identification system can be obtained. In actual implementation, a leakage urgency level table can be pre-set during the design phase of the warehouse identification system, which contains the leakage urgency levels and corresponding countermeasures corresponding to different diffusion gradient modulus values ​​or a certain range of modulus values. For example, For example, the leakage urgency level corresponding to the diffusion gradient can be divided into three levels: high, medium and low, and a corresponding emergency response plan can be formulated for each level; then, the leakage urgency level table can be searched according to the diffusion gradient modulus to determine the leakage urgency level of the natural gas transport tank corresponding to the diffusion gradient modulus. The diffusion gradient can be mapped to the corresponding leakage urgency level through the preset level classification standard in the leakage urgency level table; finally, according to the determined leakage urgency level, a natural gas leakage alarm information can be sent to the warehouse monitoring center, where the alarm information should include a description of the leakage urgency level, the warehouse identification block where the leakage occurred, the relevant natural gas concentration data, and the recommended response measures.

[0044] It should be noted that the preset leakage urgency level table can provide a standardized reference framework for mapping the diffusion gradient modulus to a specific alarm level, so that the diffusion gradient can be converted into the corresponding leakage urgency level. Therefore, the warehouse monitoring center can take corresponding response measures according to the different leakage urgency levels, so as to accurately respond to leakage incidents of different urgency levels and minimize the losses that may be caused by leakage incidents.

[0045] It can be seen that in the present application, when a leak occurs in a natural gas transport tank warehouse, the natural gas leak block can be located in a timely and accurate manner and the leakage urgency level of the natural gas transport tank can be accurately determined, so as to realize a reliable alarm for the leak of the natural gas transport tank; wherein, by converting the natural gas concentration data of the warehouse identification block into a leak identification factor, the leak identification factor can be used to more quickly determine the warehouse identification block where the leak occurs, so as to locate the location of the leak in a timely manner and improve the response speed to the leak incident; then, based on the tank pressure data, by predicting the natural gas at the leak hole of the natural gas transport tank, the leakage situation at the leak hole can be intuitively and accurately understood, and the leakage rate at the leak hole of the natural gas transport tank can be reflected by the predicted turbulence monitoring coefficient, so as to facilitate the subsequent more convenient quantification of the danger level of the natural gas leak; finally, by combining the turbulence monitoring coefficient of the natural gas turbulence and the leak identification factor corresponding to the warehouse leak alarm block to determine the diffusion gradient of the natural gas transport tank leak, the leakage situation of the natural gas transport tank is quantified, so as to facilitate the use of the diffusion gradient to send the natural gas leak alarm information to the warehouse monitoring center. In summary, the technical solution provided by the present application can timely locate the natural gas leakage block in the natural gas transport tank warehouse and accurately determine the leakage urgency level of the natural gas transport tank, so as to realize a reliable alarm for the leakage of the natural gas transport tank.

[0046] In addition, in another aspect of the present application, in some embodiments, the present application provides a natural gas transport tank leakage monitoring and alarm system, the natural gas transport tank leakage monitoring and alarm system includes an alarm unit, reference Figure 4 , which is a schematic diagram of exemplary hardware and / or software of an alarm unit according to some embodiments of the present application, the alarm unit 400 includes: a monitoring module 401, a processing module 402 and an execution module 403, which are described as follows: Monitoring module 401, in this application, monitoring module 401 is mainly used to monitor the natural gas concentration of different warehouse identification blocks in the natural gas transport tank warehouse, and obtain the natural gas concentration data of different warehouse identification blocks; Processing module 402, in the present application, is used to determine the data fluctuation characteristics of the natural gas concentration data of the warehouse identification block for each warehouse identification block, convert the natural gas concentration data of the warehouse identification block into a corresponding leakage identification factor according to the data fluctuation characteristics, and then obtain the leakage identification factor corresponding to each warehouse identification block, and determine the warehouse leakage alarm block in the natural gas transport tank warehouse according to all the leakage identification factors; It should be noted that the processing module 402 in the present application is also used to collect the tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block, and predict the natural gas turbulence at the leakage hole of the natural gas transport tank according to the tank pressure to obtain the turbulence monitoring coefficient of the natural gas turbulence; Execution module 403. In the present application, execution module 403 is mainly used to determine the diffusion gradient of the natural gas transport tank leakage by combining the turbulence monitoring coefficient of the natural gas turbulence and the leakage identification factor corresponding to the warehouse leakage alarm block, and send natural gas leakage alarm information to the warehouse monitoring center based on the diffusion gradient.

[0047] The above describes in detail the examples of the natural gas transport tank leakage monitoring alarm system and its alarm method provided by the embodiments of the present application. It can be understood that in order to realize the above functions, the corresponding device includes hardware structures and / or software modules corresponding to the execution of each function. It should be easily appreciated by those skilled in the art that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present application.

[0048] In some embodiments, the present application also provides a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned natural gas transport tank leakage monitoring and alarm method.

[0049] In some embodiments, reference Figure 5 , the dotted line in the figure indicates that the unit or the module is optional, and the figure is a structural schematic diagram of a computer device for implementing a natural gas transport tank leakage monitoring and alarm method according to an embodiment of the present application. The natural gas transport tank leakage monitoring and alarm method described in the above embodiment can be Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a memory 502 and at least one communication unit 505. The computer device 500 can be a terminal device, a server or a chip.

[0050] The processor 501 may be a general-purpose processor or a special-purpose processor. For example, the processor 501 may be a central processing unit (CPU), which may be used to control the computer device 500, execute software programs, and process data of the software programs. The computer device 500 may also include a communication unit 505 to implement signal input (reception) and output (transmission).

[0051] For example, the computer device 500 may be a chip, the communication unit 505 may be an input and / or output circuit of the chip, or the communication unit 505 may be a communication interface of the chip, and the chip may be a component of a terminal device, a network device, or other devices.

[0052] For another example, the computer device 500 may be a terminal device or a server, and the communication unit 505 may be a transceiver of the terminal device or the server, or the communication unit 505 may be a transceiver circuit of the terminal device or the server.

[0053] The computer device 500 may include one or more memories 502, on which a program 504 is stored. The program 504 can be executed by the processor 501 to generate instructions 503, so that the processor 501 performs the method described in the above method embodiment according to the instructions 503. Optionally, data (such as a target audit model) can also be stored in the memory 502. Optionally, the processor 501 can also read the data stored in the memory 502, and the data can be stored at the same storage address as the program 504, or the data can be stored at a different storage address from the program 504.

[0054] The processor 501 and the memory 502 may be provided separately or integrated together, for example, integrated on a system on chip (SOC) of the terminal device.

[0055] It should be understood that each step of the above method embodiment can be completed by a hardware-based logic circuit or software-based instructions in the processor 501. The processor 501 can be a central processing unit, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, such as discrete gates, transistor logic devices or discrete hardware components.

[0056] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0057] For example, in some embodiments, the present application also provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are executed on a computer, the computer implements the above-mentioned natural gas transport tank leakage monitoring and alarm method.

[0058] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0059] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A natural gas transport tank leakage monitoring and alarm method, characterized in that: The steps include: Monitor the natural gas concentration of different warehouse identification blocks in the natural gas transport tank warehouse and obtain the natural gas concentration data of different warehouse identification blocks; For each warehouse identification block, determine the data fluctuation characteristics of the natural gas concentration data of the warehouse identification block, convert the natural gas concentration data of the warehouse identification block into a corresponding leakage identification factor according to the data fluctuation characteristics, and then obtain the leakage identification factor corresponding to each warehouse identification block, and screen out the warehouse leakage alarm blocks in the natural gas transport tank warehouse according to all the leakage identification factors; The tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block is collected, and the natural gas turbulence at the leakage hole of the natural gas transport tank is predicted according to the tank pressure to obtain the turbulence monitoring coefficient of the natural gas turbulence; The diffusion gradient of the natural gas transport tank leakage is determined by combining the turbulence monitoring coefficient of the natural gas turbulence and the leakage identification factor corresponding to the warehouse leakage alarm block, and the natural gas leakage alarm information is sent to the warehouse monitoring center based on the diffusion gradient.

2. The method according to claim 1, characterized in that The natural gas concentration in different warehouse identification blocks in the natural gas transportation tank warehouse is monitored by combustible gas concentration sensors.

3. The method according to claim 1, characterized in that Converting the natural gas concentration data of the warehouse identification block into a corresponding leakage identification factor according to the data fluctuation characteristics specifically includes: converting the natural gas concentration data of the warehouse identification block into corresponding natural gas concentration homogeneous data by using the data fluctuation characteristics; Fitting the natural gas concentration homogeneity data to obtain a natural gas concentration curve of the warehouse identification block; The leakage identification factor corresponding to the warehouse identification block is determined according to the natural gas concentration curve.

4. The method according to claim 1, characterized in that The data fluctuation characteristics of natural gas concentration data in the warehouse identification block are determined specifically including: Determining a concentration of natural gas concentration data for the identified block of the warehouse; determining a deviation value of the natural gas concentration data of the warehouse identification block; The data fluctuation characteristics of the natural gas concentration data of the warehouse identification block are determined by the aggregation degree and deviation value of the natural gas concentration data.

5. The method according to claim 1, characterized in that The tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block is collected by a pressure sensor.

6. The method according to claim 1, characterized in that The natural gas turbulence at the leakage hole of the natural gas transport tank is predicted according to the tank pressure, and the turbulence monitoring coefficient of the natural gas turbulence is obtained, which specifically includes: extracting the pressure distribution at the leakage hole of the natural gas transport tank from the tank pressure data; Based on the pressure distribution, the natural gas turbulence at the leakage hole of the natural gas transport tank is predicted to obtain the turbulence degree of the natural gas turbulence; Performing numerical simulation on the leakage hole of the natural gas transport tank to obtain the leakage hole area and leakage hole shape at the leakage hole of the natural gas transport tank; Determine the flow coefficient by the shape of the leakage hole; The turbulence monitoring coefficient of the natural gas turbulence is determined based on the tank pressure data, the turbulence degree of the natural gas turbulence, the leakage hole area and the flow coefficient.

7. The method according to claim 1, characterized in that Sending natural gas leakage alarm information to the warehouse monitoring center based on the diffusion gradient specifically includes: Determining the diffusion gradient modulus; Obtain a leakage urgency level table corresponding to each diffusion gradient modulus value in the warehouse identification system; Determine the leakage urgency level of the natural gas transport tank in the warehouse leakage alarm block by using the diffusion gradient modulus and the leakage urgency level table; A natural gas leakage alarm message is sent to a warehouse monitoring center according to the leakage urgency level of the natural gas transport tank.

8. A natural gas transport tank leakage monitoring and alarm system, the natural gas transport tank leakage monitoring and alarm system comprises an alarm unit, characterized in that: The alarm unit comprises: A monitoring module, used to monitor the natural gas concentration of different warehouse identification blocks in the natural gas transport tank warehouse, and obtain the natural gas concentration data of different warehouse identification blocks; A processing module, for determining, for each warehouse identification block, a data fluctuation feature of the natural gas concentration data of the warehouse identification block, converting the natural gas concentration data of the warehouse identification block into a corresponding leakage identification factor according to the data fluctuation feature, thereby obtaining a leakage identification factor corresponding to each warehouse identification block, and determining a warehouse leakage alarm block in the natural gas transport tank warehouse according to all the leakage identification factors; The processing module is further used to collect the tank pressure at the leakage hole of the natural gas transport tank in the warehouse leakage alarm block, predict the natural gas turbulence at the leakage hole of the natural gas transport tank according to the tank pressure, and obtain the turbulence monitoring coefficient of the natural gas turbulence; An execution module is used to determine the diffusion gradient of the natural gas transport tank leakage in combination with the turbulence monitoring coefficient of the natural gas turbulence and the leakage identification factor corresponding to the warehouse leakage alarm block, and send natural gas leakage alarm information to the warehouse monitoring center based on the diffusion gradient.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the natural gas transport tank leakage monitoring and alarm method described in any one of claims 1 to 7.

10. A computer-readable storage medium, wherein instructions or codes are stored in the computer-readable storage medium. When the instructions or codes are executed on a computer, the computer implements the natural gas transport tank leakage monitoring and alarm method as described in any one of claims 1 to 7.

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