Gas leakage monitoring method and device and electronic equipment

Abstract

The invention provides a gas leakage monitoring method and device and electronic equipment. The method comprises the steps that fluid simulation is conducted on a monitoring area in a target space on the basis of preset ventilation parameters, flow field data are obtained, an internal combustion engine is arranged in the target space, and gas is combusted by the internal combustion engine to generate power; based on the flow field data, the response time of the sensors and the dependency relationship of the reversely propagated gas concentration on the positions of the sensors, the number and the positions of the sensors installed in the monitoring area are determined; and monitoring whether the gas leaks or not based on the number and the positions of the sensors.

Description

Technical Field

[0001] The present invention relates to the field of gas leakage monitoring technology and risk early warning technology, and in particular to a gas leakage monitoring method, device and electronic equipment. Background Art

[0002] With the progress and development of society, the number of industrial plants that use internal combustion units to burn gas to generate electricity has gradually increased. However, with the long-term operation of combustion units and gas pipelines, the risk of gas leakage caused by equipment aging has gradually increased. At the same time, industrial plants, as high-temperature working areas, have further increased the probability of explosions caused by gas leakage, thus posing a great threat to the safety of workers and equipment. Therefore, in the event of gas leakage in industrial plants, it is of great significance to detect gas within an effective time and issue a gas explosion risk warning. Summary of the invention

[0003] In view of this, the present invention provides a method, device and electronic equipment for monitoring gas leakage.

[0004] One aspect of the present invention provides a method for monitoring gas leakage, comprising: based on predetermined ventilation parameters, performing fluid simulation on a monitoring area within a target space to obtain flow field data, wherein an internal combustion engine is provided in the target space, and the internal combustion engine burns gas to generate electricity; based on the flow field data, the response time of the sensor and the dependence of the reverse propagation gas concentration on the sensor position, determining the number and positions of sensors installed in the monitoring area; and based on the number and positions of the sensors, monitoring whether the gas is leaking.

[0005] According to an embodiment of the present invention, based on flow field data, response time of sensors and dependence of reverse propagating gas concentration on sensor position, the number and positions of sensors installed in the monitoring area are determined, including: determining a response period according to the response time of the sensor, wherein the response period includes multiple time steps; determining a reverse probability and a gas leakage position in each time step according to the flow field data and the dependence, wherein the reverse probability indicates the probability that the sensor can detect the reverse propagating gas; determining a forward probability in each time step according to the reverse probability in each time step, wherein the forward probability indicates the probability that the sensor can detect the forward propagating gas; screening a target positive probability greater than or equal to a probability threshold from the forward probability in each time step; determining a pre-leakage area based on the gas leakage position corresponding to the target positive probability; and determining the number and positions of sensors based on the effective coverage range of the sensors and the pre-leakage area.

[0006] According to an embodiment of the present invention, the number and position of sensors are determined based on the effective coverage range and pre-leakage area of ​​the sensors, including: determining the center position of the pre-leakage area as the position of the first sensor; determining the effective coverage range of the first sensor based on the position of the first sensor; determining the position of the second sensor based on a genetic algorithm when the effective coverage rate of the first sensor is less than a coverage rate threshold, wherein the position of the first sensor is different from the position of the second sensor, and the effective coverage rate of the first sensor is determined based on the effective coverage range and the pre-leakage area of ​​the first sensor; determining the effective coverage range of the second sensor based on the position of the second sensor; and determining the number and position of sensors based on the first sensor and the second sensor when the cumulative effective coverage rate is greater than or equal to the coverage rate threshold, wherein the cumulative effective coverage rate is determined based on the effective coverage rate of the first sensor and the effective coverage rate of the second sensor, and the effective coverage rate of the second sensor is determined based on the effective coverage range and the pre-leakage area of ​​the second sensor.

[0007] According to an embodiment of the present invention, the gas leakage monitoring method also includes: determining the mass of the gas allowed to leak based on the lower limit of the gas explosion concentration under standard conditions and the volume of the monitoring area; and determining the probability threshold based on the sensitivity of the sensor and the mass of the gas allowed to leak.

[0008] According to an embodiment of the present invention, monitoring whether gas is leaking based on the number and location of sensors includes: after installing sensors based on the number and location of sensors in a monitoring area, determining whether gas is leaking based on operating data acquired by the sensors.

[0009] According to an embodiment of the present invention, the gas leakage monitoring method further includes: generating explosion risk warning information based on operating data when gas leakage is determined; and sending the explosion risk warning information to a management terminal.

[0010] According to an embodiment of the present invention, the operating data includes the gas concentration and timestamp collected in real time; based on the operating data, explosion risk warning information is generated, including: predicting the pre-explosion moment based on the gas concentration and timestamp; determining the time interval between the pre-explosion moment and the timestamp; generating explosion risk warning information when it is determined that the time interval is greater than the interval threshold or the gas concentration is greater than the risk threshold.

[0011] According to an embodiment of the present invention, the target space includes a gas turbine plant with multiple gas generator sets installed therein.

[0012] Another aspect of the present invention provides a gas leakage monitoring device, including: a simulation module, which is used to perform fluid simulation on a monitoring area in a target space based on predetermined ventilation parameters to obtain flow field data, wherein an internal combustion engine is provided in the target space, and the internal combustion engine burns gas to generate electricity; a determination module, which is used to determine the number and positions of sensors installed in the monitoring area based on the flow field data, the response time of the sensor and the dependence of the reverse propagation gas concentration on the sensor position; and a monitoring module, which is used to monitor whether the gas is leaking based on the number and position of the sensors.

[0013] Another aspect of the present invention provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the above method.

[0014] According to an embodiment of the present invention, flow field data can be determined by simulating the flow field in the monitoring area in the target space. Based on the flow field data and the dependence of the reverse propagated gas concentration on the sensor position, the optimal number and position of sensors installed in the monitoring area are obtained to achieve full coverage of the monitoring area, ensure the integrity of the monitoring area coverage and the timeliness of the gas leakage response, and effectively reduce the cost of setting up sensors for the monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0016] Figure 1 A flow chart of a method for monitoring gas leakage according to an embodiment of the present invention is shown;

[0017] Figure 2 A schematic diagram showing determination of the number and position of sensors according to an embodiment of the present invention is shown;

[0018] Figure 3 A flow chart of a method for monitoring gas leakage according to another embodiment of the present invention is shown;

[0019] Figure 4 A block diagram of a gas leakage monitoring device according to an embodiment of the present invention is shown;

[0020] Figure 5 A block diagram of an electronic device suitable for implementing a method for monitoring gas leakage according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0021] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0022] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0023] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0024] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0025] In the process of realizing the concept of the present invention, it is found that the construction method of the industrial plant gas leakage monitoring system is relatively simple, the monitoring area coverage, effective response and evacuation time cannot be guaranteed, and the system cost issue is generally not considered.

[0026] Based on this, an embodiment of the present invention provides a method, device and equipment for monitoring gas leakage. The method includes: based on predetermined ventilation parameters, performing fluid simulation on the monitoring area in the target space to obtain flow field data, wherein an internal combustion engine is provided in the target space, and the internal combustion engine burns gas to generate electricity; based on the flow field data, the response time of the sensor and the dependence of the reverse propagation gas concentration on the sensor position, determining the number and position of sensors installed in the monitoring area; and based on the number and position of the sensors, monitoring whether the gas is leaking.

[0027] The following will be passed Figure 1~Figure 3 The gas leakage monitoring method according to the embodiment of the present invention is described in detail.

[0028] Figure 1 A flow chart of a method for monitoring gas leakage according to an embodiment of the present invention is shown.

[0029] like Figure 1 As shown, the gas leakage monitoring method 100 includes operations S110-S130.

[0030] In operation S110 , based on predetermined ventilation parameters, a fluid simulation is performed on a monitoring area in a target space to obtain flow field data.

[0031] In operation S120, the number and positions of sensors installed in the monitoring area are determined based on the flow field data, the response time of the sensors, and the dependence of the reverse propagation gas concentration on the sensor positions.

[0032] In operation S130, whether the Buchholz gas is leaking is monitored based on the number and positions of the sensors.

[0033] According to an embodiment of the present invention, an internal combustion engine is provided in the target space, and the internal combustion engine burns gas to generate electricity. For example, the target space may be a combustion engine plant including an internal combustion engine. The monitoring area may be the entire target space or a partial space area in the target space.

[0034] According to an embodiment of the present invention, the predetermined ventilation parameters may include predetermined air supply parameters and predetermined exhaust parameters. The predetermined air supply parameters and the predetermined exhaust parameters may each include wind speed and wind pressure. For example, a mechanical air supply fan is provided on the generator side of the gas generator set in the gas turbine plant, a mechanical exhaust fan is provided on the internal combustion engine side of the gas generator set, and a natural ventilator is provided on the roof of the gas turbine plant. According to the actual setting of the gas turbine plant, the actual air supply parameters may be determined as the predetermined air supply parameters, and the actual exhaust parameters may be determined as the predetermined exhaust parameters.

[0035] According to an embodiment of the present invention, the flow field data may include but is not limited to velocity components of the gas at different positions, gas turbulent diffusion coefficients and boundary conditions, etc. The flow field is steady-state.

[0036] For example, three-dimensional modeling can be performed based on the spatial dimensions of the target space; corresponding air supply boundary conditions and exhaust boundary conditions can be set at the corresponding positions of the model, and the flow field data of the monitored area can be simulated and calculated.

[0037] According to an embodiment of the present invention, the sensor may include a gas detection sensor. For example, a suitable gas detection sensor may be selected in combination with factors such as pollutant hazard, personnel sensitivity, and budget. The response time of the sensor may include a maximum allowable response time of the sensor. The dependence of the reverse propagation gas concentration on the sensor position may be represented by an adjoint equation.

[0038] According to the embodiment of the present invention, when the sensor is able to collect the concentration of the methane gas, it can be determined that the methane gas is leaking.

[0039] According to an embodiment of the present invention, flow field data can be determined by simulating the flow field in the monitoring area in the target space. Based on the flow field data and the dependence of the reverse propagated gas concentration on the sensor position, the optimal number and position of sensors installed in the monitoring area can be obtained to achieve full coverage of the monitoring area, ensure the integrity of the monitoring area coverage and the timeliness of the gas leakage response, and effectively reduce the cost of setting up sensors for the monitoring system.

[0040] According to an embodiment of the present invention, for the above Figure 1 Operation S120, based on flow field data, sensor response time and the dependency of reverse propagating gas concentration on sensor position, determines the number and positions of sensors installed in the monitoring area, which may include the following operations: determining a response period according to the sensor response time, wherein the response period includes multiple time steps; determining a reverse probability and a gas leakage position in each time step according to the flow field data and the dependency, wherein the reverse probability indicates the probability that the sensor can detect the reverse propagating gas; determining a forward probability in each time step according to the reverse probability in each time step, wherein the forward probability indicates the probability that the sensor can detect the forward propagating gas; screening a target positive probability greater than or equal to a probability threshold from the forward probability in each time step; determining a pre-leakage area based on the gas leakage position corresponding to the target positive probability; and determining the number and position of sensors based on the effective coverage range of the sensors and the pre-leakage area.

[0041] According to an embodiment of the present invention, the maximum allowable response time of the sensor may be determined as the response period. For example, the maximum allowable response time T of the sensor m =3min, the response period can be T m =3min. The response period can be divided into multiple time steps. For example, if the time step is 30s, T m = 3 min response period may include 6 30 s time steps.

[0042] According to an embodiment of the present invention, the dependency relationship may be expressed by an equation that varies with time and space, as shown in the following equation (1):

[0043] (1)

[0044] in, is the inverse probability, is the reverse time ( =Tt), ​​T is the response period, t is the positive time, For x j The velocity component in the axial direction is provided by the flow field data; k represents the turbulent diffusion coefficient of the gas, which is also provided by the flow field data; is an impulse function. When x=0, =1, otherwise =0; is the location of the sensor; This is the location of the gas leak.

[0045] At the initial condition, the reverse time = 0, the data measured by the sensor location is used to infer that the reverse probability of any point in the calculation domain is 0, as shown in the following formula (2):

[0046] (2)

[0047] When Γ1 is the first type of boundary condition (Dirichlet condition), on the boundary where gas cannot pass (such as a closed wall) Fixed to zero, as shown in the following equation (3):

[0048] (3)

[0049] When Γ2 is the second type of boundary condition (Robin condition), diffusion and convection are mixed on this boundary, which is applicable to open boundaries (such as air supply and outlet), as shown in the following formula (4):

[0050] (4)

[0051] in, Indicates the direction of the boundary normal vector;

[0052] When Γ3 is the second type of boundary condition (Neumann condition), on this boundary The normal gradient is zero, corresponding to a boundary with no diffusion flux (such as an adiabatic wall), as shown in the following equation (5):

[0053] (5)

[0054] Based on the discretization method, the above formula (1) can be spatially discretized, temporally discretized, and source term processed. For example, spatial discretization can use the finite element method (FEM) or the finite volume method (FVM) to mesh the computational domain, which is suitable for complex geometries (such as factory ceilings). For example, temporal discretization can use an implicit format (such as the backward Euler method) to process diffusion terms, and an explicit format to process convection terms to improve stability. Source term processing can At the sensor location Place and time =0 to apply a pulse, and in discrete mode, a unit excitation is applied at the corresponding grid nodes and time steps.

[0055] Based on the above initial conditions, Dirichlet conditions, Robin conditions and Neumann conditions, an iterative solution is performed to obtain the reverse probability and the leakage position of the gas in each time step. The solution process can be performed as follows S1 to S4.

[0056] In operation S1, time step: from = 0, and gradually advance to =T (maximum reversal time).

[0057] In operation S2, matrix assembly: For each time step, discretize equation (1) to form a linear system of equations containing convection, diffusion and boundary terms.

[0058] In operation S3, solve the linear equation system: use an iterative method (such as the conjugate gradient method) or a direct method (such as LU decomposition) to solve The updated value of .

[0059] In operation S4, pulse source injection: only = 0 at sensor position Apply pulse excitation.

[0060] According to an embodiment of the present invention, it is assumed that at time t=0, a gas with a mass of M is discharged from position The gas is released at a certain place, and the gas diffuses in a given area, and reaches the location of the sensor at a given time t=T>0. The probability at is the positive probability, and the positive probability can be expressed as shown in the following formula (6):

[0061] (6)

[0062] in, At time t=T The gas concentration at the place.

[0063] Before establishing the inverse probability, a time parameter can be defined =Tt, this parameter represents the reverse time, then the forward probability can be expressed as shown in the following formula (7):

[0064] (7)

[0065] in, That is the inverse probability corresponding to the positive probability.

[0066] According to the formula shown in formula (7), the forward probability in each time step can be determined according to the reverse probability in each time step.

[0067] According to the embodiment of the present invention, the probability threshold may be obtained based on actual experience.

[0068] According to an embodiment of the present invention, the leakage position of the gas corresponding to all target positive probabilities can be regarded as the center point, and then the center points are connected to each other. The volume of the geometric figure composed of the center points is obtained by geometric methods, and the spatial area under the volume is determined as the pre-leakage area.

[0069] According to an embodiment of the present invention, the number and positions of sensors installed in the pre-leakage area may be determined according to the effective coverage of the sensors.

[0070] According to an embodiment of the present invention, the gas of the present invention is released in the form of a point source with a constant leakage rate. The probability-based adjoint method can only reversely calculate the point source type gas release. Through the flow field data and the dependence of the reverse propagated gas concentration on the sensor position, the reverse probability and the gas leakage position in each time step are reversely obtained, and then the forward probability is reversed, and finally the pre-leakage area is obtained, which ensures the integrity of the monitoring area coverage and the timeliness of the gas leakage response.

[0071] According to an embodiment of the present invention, the gas leakage monitoring method may include the following steps: Figure 1 In addition to the operations S110 to S130 shown, the following operations may also be included: determining the mass of the gas allowed to leak based on the lower limit of the gas explosion concentration under standard conditions and the volume of the monitoring area; and determining the probability threshold based on the sensitivity of the sensor and the mass of the gas allowed to leak.

[0072] According to an embodiment of the present invention, the mass of gas allowed to leak can be obtained based on the product of the lower limit of gas explosion concentration under standard conditions and the volume of the monitoring area. The probability threshold can be obtained based on the ratio of the sensitivity of the sensor and the mass of gas allowed to leak.

[0073] For example, the monitoring area of ​​the target space is a gas turbine plant with multiple gas generators built in. The appropriate gas detection sensor can be selected based on factors such as pollutant hazard, personnel sensitivity, and budget to determine the sensor sensitivity C that meets the requirements. th =1ppm(0.036g / m 3 ), the maximum allowed response time T m =3min, the lower limit of gas explosion concentration C under standard conditions cr =35.8mg / m 3 , calculate the mass M of the gas allowed to leak tAs shown in the following formula (8):

[0074] M t =C cr ×V=35.8mg / m 3 ×6048m 3 ≈216.5g (8)

[0075] Among them, V is the total volume of the gas turbine building (length: width: height = 56m: 12m: 9m).

[0076] The probability threshold can be calculated based on the sensor sensitivity C th and the mass M of the gas allowed to leak t The probability threshold is calculated, that is, the minimum probability f that the sensor can detect gas leakage x,cri As shown in the following formula (9):

[0077] f x,cri =C th / M t =0.036 / 216.5=1.67×10 -4 (9)

[0078] According to the embodiment of the present invention, the probability threshold is determined based on the sensitivity of the sensor and the mass of the gas allowed to leak, so that the minimum probability that the sensor can detect the gas leakage can be accurately obtained.

[0079] Figure 2 A schematic diagram of determining the number and positions of sensors according to an embodiment of the present invention is shown.

[0080] According to the embodiments of the present invention, in the problem of optimizing the layout of spatial sensor networks in tall buildings, on the one hand, there are many potential locations for sensor deployment and the deployment areas are relatively discrete; on the other hand, the coverage of sensors at different locations varies greatly and there is no basic change pattern, which makes it difficult to determine the number and locations of sensors.

[0081] Based on this, Figure 2 As shown, based on the effective coverage of the sensors and the pre-leakage area, determining the number and positions of the sensors may include operations S201 to S207.

[0082] In operation S201 , a central position of a pre-leakage area is determined as a position of a first sensor.

[0083] In operation S202 , based on the position of the first sensor, an effective coverage range of the first sensor is determined.

[0084] According to an embodiment of the present invention, the effective coverage range may indicate a spatial volume effectively covered by a sensor. The effective coverage range of the first sensor at the location may be determined by simulation.

[0085] In operation S203, it is determined whether the effective coverage of the first sensor is less than a coverage threshold.

[0086] According to an embodiment of the present invention, if the effective coverage of the first sensor is less than the coverage threshold, operation S204 is performed. If the effective coverage of the first sensor is greater than or equal to the coverage threshold, operation S207 is performed to determine that the number of sensors is one and the position is the center of the pre-leakage area.

[0087] According to an embodiment of the present invention, the effective coverage rate of the first sensor is determined based on the effective coverage range of the first sensor and the pre-leakage area, for example, it may be the ratio of the effective coverage range of the first sensor to the spatial volume of the pre-leakage area.

[0088] According to an embodiment of the present invention, the coverage threshold may be an empirical value obtained based on actual experience, for example, may be 90%.

[0089] In operation S204 , a position of the second sensor is determined based on a genetic algorithm, wherein the position of the first sensor is different from the position of the second sensor.

[0090] According to an embodiment of the present invention, through a genetic algorithm, an optimal solution can be searched in the direction of maximizing the total coverage and minimizing the coverage overlap rate to determine the position of the second sensor. The total coverage rate can indicate the ratio of the effective coverage of all sensors to the spatial volume of the pre-leakage area. The coverage overlap rate can indicate the ratio of the spatial volume of the overlapping portion of the coverage between sensors to the spatial volume of the pre-leakage area.

[0091] In operation S205 , based on the position of the second sensor, an effective coverage range of the second sensor is determined.

[0092] In operation S206 , it is determined whether the accumulated effective coverage is less than a coverage threshold.

[0093] According to an embodiment of the present invention, when the cumulative effective coverage is less than the coverage threshold, operation S204 is repeated, a new sensor is added, and operation S204 is repeated, and the optimal placement position of the sensor is calculated based on the genetic algorithm until the cumulative effective coverage is greater than or equal to the coverage threshold. When the cumulative effective coverage is greater than or equal to the coverage threshold, operation S207 is performed to determine that the number of sensors is two, and the positions are the center position of the pre-leakage area and the position of the second sensor.

[0094] According to an embodiment of the present invention, the cumulative effective coverage is used to indicate the ratio of the effective coverage of all determined sensors to the spatial volume of the pre-leakage area. The cumulative effective coverage is determined based on the effective coverage of the first sensor and the effective coverage of the second sensor. The effective coverage of the second sensor is determined based on the effective coverage of the second sensor and the pre-leakage area. For example, it can be the ratio of the effective coverage of the second sensor to the spatial volume of the pre-leakage area.

[0095] In operation S207 , the number and positions of sensors are determined.

[0096] For example, continuing to use the gas turbine plant in the above example, based on the above operations, it can be determined that deploying 8 sensors can achieve full coverage of the monitoring area and minimize the sensor deployment cost.

[0097] According to the embodiments of the present invention, since the optimization of the number and position of sensors belongs to a discrete combinatorial optimization problem, the optimal placement position and the optimal number of sensors are determined based on a genetic algorithm, which can achieve full coverage of the monitoring area and minimize the cost of installing sensors, at least partially solving the technical problem of difficulty in determining the number and position of sensors.

[0098] According to an embodiment of the present invention, for the above Figure 1 Operation S130, based on the number and position of sensors, monitors whether gas is leaking, which may include the following operations: after installing sensors based on the number and position of sensors in the monitoring area, determining whether gas is leaking according to the operating data obtained by the sensors.

[0099] According to an embodiment of the present invention, the operating data may include the concentration of gas collected by the sensor. If the concentration of the collected gas is not zero, the gas is leaking, otherwise, the gas is not leaking.

[0100] Figure 3 A flow chart of a method for monitoring gas leakage according to another embodiment of the present invention is shown.

[0101] According to the embodiment of the present invention, after a gas leakage is detected, there still remains the problem of how to respond promptly within an effective time to minimize the risk of explosion.

[0102] Based on this, gas leakage monitoring methods can include the following: Figure 1 In addition to the operations S110 to S130 shown in FIG. Figure 3 Operations S310 to S320 are shown.

[0103] In operation S310, when gas leakage is determined, explosion risk warning information is generated based on the operating data.

[0104] In operation S320, the explosion risk warning information is sent to the management end.

[0105] According to an embodiment of the present invention, the operating data may include the gas concentration and time stamp collected in real time.

[0106] According to an embodiment of the present invention, explosion risk warning information indicating the real-time gas concentration may be generated according to the real-time collected gas concentration.

[0107] According to an embodiment of the present invention, the management end may be a risk control department.

[0108] According to an embodiment of the present invention, for the above Figure 3 In operation S310, based on the working condition operation data, explosion risk warning information is generated, which may include operations: predicting the pre-explosion moment based on the gas concentration and the timestamp. Determining the time interval between the pre-explosion moment and the timestamp. When it is determined that the time interval is greater than the interval threshold or the gas concentration is greater than the risk threshold, generating explosion risk warning information.

[0109] According to the embodiments of the present invention, the possible explosion time, ie, the pre-explosion time, can be predicted based on the gas concentration collected in real time and the flow field of the gas in the monitoring area.

[0110] According to an embodiment of the present invention, the interval threshold or the risk threshold may be determined by a risk management and control department.

[0111] According to the embodiment of the present invention, gas concentration is a necessary condition for gas explosion. When the concentration of gas in the monitoring area is 5% to 16%, it is potentially flammable and can cause an explosion. Therefore, if any of the time interval and gas concentration meet the conditions, it proves that the industrial plant has the risk of gas explosion, and then generates explosion risk warning information. Alarm response is performed based on the explosion risk warning information, and the explosion risk warning information is synchronously transmitted to the risk control department, which effectively improves the accuracy of gas leakage explosion risk assessment and the safety management efficiency of industrial plants, and provides support for the subsequent adoption of corresponding measures.

[0112] According to an embodiment of the present invention, the target space includes a gas turbine plant with multiple gas generator sets installed therein.

[0113] According to an embodiment of the present invention, the gas leakage monitoring method provided by the present invention can solve the problem of gas leakage monitoring in industrial plants and explosion risk warning. The construction of the gas monitoring system in the present invention is not based on engineering experience, but based on the flow field in the industrial plant, using computational fluid dynamics methods to reversely obtain the effective coverage range of the sensor, ensuring the integrity of the monitoring area coverage and the timeliness of the gas leakage response, while minimizing the cost of setting up the monitoring system. In addition, combined with risk warning, it can effectively improve the timeliness and accuracy of gas leakage explosion risk assessment and improve safety management efficiency.

[0114] Figure 4 A block diagram of a gas leakage monitoring device according to an embodiment of the present invention is shown.

[0115] like Figure 4 As shown, the gas leakage monitoring device 400 includes a simulation module 410 , a determination module 420 and a monitoring module 430 .

[0116] The simulation module 410 is used to perform fluid simulation on the monitoring area in the target space based on the predetermined ventilation parameters to obtain flow field data. An internal combustion engine is arranged in the target space, and the internal combustion engine burns gas to generate electricity.

[0117] The determination module 420 is used to determine the number and positions of sensors installed in the monitoring area based on the flow field data, the response time of the sensor and the dependence of the reverse propagation gas concentration on the sensor position.

[0118] The monitoring module 430 is used to monitor whether there is gas leakage based on the number and location of sensors.

[0119] According to an embodiment of the present invention, the gas leakage monitoring device 400 further includes: a quality determination module and a threshold determination module. The quality determination module is used to determine the mass of the gas allowed to leak based on the lower limit of the gas explosion concentration under the standard state and the volume of the monitoring area. The threshold determination module is used to determine the probability threshold based on the sensitivity of the sensor and the mass of the gas allowed to leak.

[0120] According to an embodiment of the present invention, the gas leakage monitoring device 400 may further include: a generating module and a sending module. The generating module is used to generate explosion risk warning information based on the operating data when the gas leakage is determined. The sending module is used to send the explosion risk warning information to the management end.

[0121] According to an embodiment of the present disclosure, any multiple modules of the simulation module 410, the determination module 420 and the monitoring module 430 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the simulation module 410, the determination module 420 and the monitoring module 430 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in any appropriate combination of any of them. Alternatively, at least one of the simulation module 410, the determination module 420 and the monitoring module 430 can be at least partially implemented as a computer program module, and when the computer program module is run, the corresponding function can be executed.

[0122] It should be noted that the gas leakage monitoring device part in the embodiment of the present invention corresponds to the gas leakage monitoring method part in the embodiment of the present invention. The description of the gas leakage monitoring device part specifically refers to the gas leakage monitoring method part, which will not be repeated here.

[0123] Figure 5 A block diagram of an electronic device suitable for implementing a method for monitoring gas leakage according to an embodiment of the present invention is shown. Figure 5 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0124] like Figure 5 As shown, the electronic device 500 according to an embodiment of the present invention includes a processor 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage part 508 to the random access memory (RAM) 503. The processor 501 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 501 may also include an onboard memory for caching purposes. The processor 501 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0125] In RAM 503, various programs and data required for the operation of electronic device 500 are stored. Processor 501, ROM 502 and RAM 503 are connected to each other via bus 504. Processor 501 performs various operations of the method flow according to the embodiment of the present invention by executing the program in ROM 502 and / or RAM 503. It should be noted that the program can also be stored in one or more memories other than ROM 502 and RAM 503. Processor 501 can also perform various operations of the method flow according to the embodiment of the present invention by executing the program stored in one or more memories.

[0126] According to an embodiment of the present invention, the electronic device 500 may further include an input / output (I / O) interface 505, which is also connected to the bus 504. The electronic device 500 may further include one or more of the following components connected to the input / output (I / O) interface 505: an input portion 506 including a keyboard, a mouse, etc.; an output portion 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 508 including a hard disk, etc.; and a communication portion 509 including a network interface card such as a LAN card, a modem, etc. The communication portion 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the input / output (I / O) interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed, so that the computer program read therefrom is installed into the storage portion 508 as needed.

[0127] According to an embodiment of the present invention, the method flow according to an embodiment of the present invention can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 509, and / or installed from the removable medium 511. When the computer program is executed by the processor 501, the above-mentioned functions defined in the system of the embodiment of the present invention are executed. According to an embodiment of the present invention, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0128] It will be appreciated by those skilled in the art that the features described in the various embodiments of the present invention may be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features described in the various embodiments of the present invention may be combined and / or combined in various ways. All of these combinations and / or combinations fall within the scope of the present invention.

[0129] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination. The scope of the present invention is defined by the attached claims and their equivalents. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A gas leakage monitoring method, characterized in that: The method comprises: Based on the predetermined ventilation parameters, a fluid simulation is performed on the monitoring area in the target space to obtain flow field data, wherein an internal combustion engine is arranged in the target space, and the internal combustion engine burns gas to generate electricity; Determine the number and location of the sensors to be installed in the monitoring area based on the flow field data, the response time of the sensors, and the dependence of the reverse propagation gas concentration on the sensor location; and Based on the number and positions of the sensors, whether the Buchholz gas is leaking is monitored.

2. The method according to claim 1, characterized in that The step of determining the number and location of the sensors to be installed in the monitoring area based on the flow field data, the response time of the sensors, and the dependence of the reverse propagation gas concentration on the sensor location includes: Determining a response period according to a response time of the sensor, wherein the response period includes a plurality of time steps; Determine the reverse probability and the leakage position of the gas in each time step according to the flow field data and the dependency, wherein the reverse probability indicates the probability that the sensor can detect the gas propagating in the reverse direction; Determining a forward probability within each time step according to the reverse probability within each time step, wherein the forward probability indicates a probability that the sensor can detect the methane gas propagating in a forward direction; Filter the target positive probability greater than or equal to the probability threshold from the positive probabilities in each time step; Determining a pre-leakage area based on the leakage position of the gas corresponding to the target positive probability; and The number and positions of the sensors are determined based on the effective coverage of the sensors and the pre-leakage area.

3. The method according to claim 2, characterized in that The determining the number and positions of the sensors based on the effective coverage of the sensors and the pre-leakage area comprises: Determining the center position of the pre-leakage area as the position of the first sensor; Determining an effective coverage range of the first sensor based on the position of the first sensor; When the effective coverage rate of the first sensor is less than a coverage rate threshold, determining a position of a second sensor based on a genetic algorithm, wherein the position of the first sensor is different from the position of the second sensor, and the effective coverage rate of the first sensor is determined based on an effective coverage range of the first sensor and the pre-leakage area; determining an effective coverage range of the second sensor based on the position of the second sensor; and When the cumulative effective coverage rate is greater than or equal to the coverage rate threshold, the number and positions of the sensors are determined based on the first sensor and the second sensor, wherein the cumulative effective coverage rate is determined based on the effective coverage rate of the first sensor and the effective coverage rate of the second sensor, and the effective coverage rate of the second sensor is determined based on the effective coverage range of the second sensor and the pre-leakage area.

4. The method according to claim 2, characterized in that: The method further comprises: Determining the mass of the gas allowed to leak based on the lower limit of the gas explosion concentration under standard conditions and the volume of the monitoring area; and The probability threshold is determined based on the sensitivity of the sensor and the mass of the Buchholz gas allowed to leak.

5. The method according to claim 1, characterized in that The monitoring of whether the gas is leaking based on the number and position of the sensors includes: In the monitoring area, after the sensors are installed based on the number and position of the sensors, it is determined whether the gas is leaking according to the operating data acquired by the sensors.

6. The method according to claim 5, characterized in that The method further comprises: In the case where the gas leakage is determined, generating explosion risk warning information based on the operating data; and The explosion risk warning information is sent to a management terminal.

7. The method according to claim 6, characterized in that The operating data includes the gas concentration and timestamp collected in real time; The generating explosion risk warning information based on the operating condition data includes: Predicting a pre-explosion time based on the gas concentration and the timestamp; Determine the time interval between the pre-explosion moment and the timestamp; When it is determined that the time interval is greater than the interval threshold or the gas concentration is greater than the risk threshold, the explosion risk warning information is generated.

8. The method according to any one of claims 1 to 7, characterized in that: The target space includes a gas turbine plant with multiple gas generator sets built in.

9. A gas leakage monitoring device, characterized in that: The device comprises: A simulation module, for performing fluid simulation on a monitoring area in a target space based on predetermined ventilation parameters to obtain flow field data, wherein an internal combustion engine is provided in the target space, and the internal combustion engine burns gas to generate electricity; A determination module, configured to determine the number and location of the sensors to be installed in the monitoring area based on the flow field data, the response time of the sensors, and the dependency of the reverse propagation gas concentration on the sensor location; and The monitoring module is used to monitor whether the gas is leaking based on the number and position of the sensors.

10. An electronic device comprising: one or more processors; a memory for storing one or more computer programs, It is characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 7.

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