CN117078489B - Intelligent explosion venting monitoring and control system of energy storage device - Google Patents
Intelligent explosion venting monitoring and control system of energy storage device Download PDFInfo
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Abstract
The invention discloses an intelligent explosion venting monitoring and controlling system of an energy storage device, and belongs to the technical field of energy storage systems; the monitoring and control system comprises a modeling unit, a fluid analysis unit, a monitoring unit, a decision unit and an explosion venting unit. The modeling unit creates a three-dimensional model of the energy storage device and the surrounding environment thereof; the fluid analysis unit establishes a gas flow model and establishes a flame-explosion risk range database aiming at air flow conditions; the monitoring unit monitors the pressure and the temperature in the energy storage device in real time; the explosion venting unit comprises a plurality of explosion venting modules positioned at a plurality of positions of an energy storage container in the energy storage device; the decision unit receives the data from the monitoring unit and the analysis result of the fluid analysis unit, and decides an explosion venting module for performing an explosion venting operation using an algorithm based on the integral quantity and the risk threshold. The invention can timely sense the safety risk of the energy storage device, dynamically adjust the explosion venting strategy when the explosion venting is needed, and avoid secondary injury caused by explosion venting operation.
Description
Technical Field
The invention belongs to the technical field of energy storage systems, and particularly relates to an intelligent explosion venting monitoring and controlling system of an energy storage device.
Background
Compressed flammable and explosive gas energy storage (Compressed Flammable Gas Energy Storage, CFGES) is a method of storing and releasing energy by utilizing the thermodynamic properties of flammable and explosive gases such as natural gas, hydrogen and the like in the compression and expansion processes. The storage mode has the advantages of large energy storage capacity, high efficiency, environmental protection and the like, and is widely applied to the fields of electric power systems, automobile power, industrial production and the like. However, CFGES may create a safety risk during storage and release. In particular, if the pressure within the device exceeds a safety threshold during storage, it may cause the device to rupture or even explode. In addition, since flammable and explosive gases are stored, once leaked, serious accidents such as fire and explosion can be caused.
To prevent this, CFGES are often equipped with explosion venting means to release the internal pressure in a controlled manner when necessary to avoid more serious accidents. However, conventional explosion venting devices are generally passive, and only open when the pressure exceeds a certain threshold, and the flow of the opened gas is not controllable, which may increase the risk of the surrounding environment and personnel.
In order to solve the problem, an intelligent explosion venting monitoring and controlling system capable of monitoring the state and the environmental condition of the energy storage device in real time and dynamically determining the explosion venting strategy is developed, and is an important requirement in the field of the current CFGES safety management.
According to the disclosed technical scheme, the technical scheme with the bulletin number of CN103697320B provides a pressure relief explosion-proof tank, and a specific dent is arranged at the bottom of the tank, so that the tank body has a structure with higher high pressure tolerance degree; the technical proposal of the publication number WO2013023603A1 proposes an explosion venting device with a nozzle, which adopts a friction layer with specific damping to act on a guide rod of the nozzle, so that the operation of the explosion venting device is more stable and controlled; the technical scheme with the publication number of US09959724B2 provides a device and a method for indicating a hydrogen tank to implement discharging when a vehicle is in fire, wherein the device detects the occurrence of the fire in real time, and detects whether the discharging of the hydrogen meets the flow rate of a preset requirement while timely discharging the hydrogen when the vehicle is in danger, thereby ensuring that the risk that the hydrogen cannot be discharged in time.
The above technical solutions all provide a plurality of device systems for monitoring and discharging the energy storage device and implementation methods, however, there are few mention about whether the influence on the surrounding environment in the process of discharging the explosion is considered when the explosion is discharged, and particularly when the explosion is discharged to possibly cause secondary disasters, the explosion is still discharged, which is easy to cause worse results.
The foregoing discussion of the background art is intended to facilitate an understanding of the present invention only. This discussion is not an admission or admission that any of the material referred to was common general knowledge.
Disclosure of Invention
The invention aims to provide an intelligent explosion venting monitoring and controlling system of an energy storage device; the monitoring and control system comprises a modeling unit, a fluid analysis unit, a monitoring unit, a decision unit and an explosion venting unit. The modeling unit creates a three-dimensional model of the energy storage device and the surrounding environment thereof; the fluid analysis unit establishes a gas flow model and establishes a flame-explosion risk range database aiming at air flow conditions; the monitoring unit monitors the pressure and the temperature in the energy storage device in real time; the explosion venting unit comprises a plurality of explosion venting modules positioned at a plurality of positions of an energy storage container in the energy storage device; the decision unit receives the data from the monitoring unit and the analysis result of the fluid analysis unit, and decides an explosion venting module for performing an explosion venting operation using an algorithm based on the integral quantity and the risk threshold. Through the monitoring and control system, the safety risk of the energy storage device can be timely perceived, and the explosion venting strategy can be dynamically adjusted when explosion venting is needed, so that secondary damage caused by explosion venting operation is avoided.
The invention adopts the following technical scheme: an implementation mode of an intelligent explosion venting monitoring and control system of an energy storage device; the monitoring and controlling system is used for monitoring the energy storage device which stores inflammable and explosive gas, calculating environmental conditions in multiple directions around the energy storage device when the safety risk of the energy storage device occurs, and controlling the explosion venting component on the energy storage device to conduct explosion venting operation in a designated preferential direction; wherein the monitoring and control system comprises:
the modeling unit is configured to perform three-dimensional modeling on the energy storage device and the surrounding space thereof so as to obtain a hydrodynamic simulation model of the energy storage device; the modeling unit comprises three-dimensional scanning equipment and is used for acquiring real-time three-dimensional data of the surrounding environment of the energy storage device;
a fluid analysis unit configured to calculate a gas flow condition around the energy storage device under various air flow conditions simulated by the computer to establish a gas flow model; under the air flow condition of the real environment, carrying out rapid prediction on the air flow around the energy storage device based on the air flow model;
the monitoring unit is configured to collect working indexes of the energy storage device so as to determine whether the energy storage device is at risk currently;
The decision unit is configured to determine real-time environmental conditions around the energy storage device by adopting an artificial intelligence algorithm based on the data provided by the modeling unit, the fluid analysis unit and the monitoring unit when the energy storage device needs to be subjected to explosion venting so as to determine an optimal explosion venting direction and a explosion venting prohibition direction;
the explosion venting unit comprises explosion venting modules which are arranged in a plurality of directions around the energy storage device; the explosion venting unit starts one or more designated explosion venting modules to perform explosion venting operation on the energy storage device based on the analysis result of the decision unit;
preferably, the energy storage device comprises a storage container for storing gas and components arranged at the periphery of the storage container;
preferably, the modeling unit comprises performing the following steps, creating a three-dimensional model for the monitoring and control system:
(1) Measuring geometrical parameters of the shape of the energy storage container and establishing a three-dimensional sub-model of the energy storage container, wherein the method comprises the steps of measuring the geometrical parameters of elements exposed outside the energy storage container and establishing the three-dimensional sub-model, and combining all the three-dimensional sub-models of the energy storage device to obtain a final three-dimensional model;
(2) Adding a calculation domain outside the three-dimensional model; the calculation domain takes the energy storage container as a central point, and sets the maximum horizontal width of 10 times of the energy storage container as the calculation radius of the calculation domain; the calculated height of the calculated domain is 2 times the maximum height of the energy storage capacity; and performing Boolean subtraction operation on the calculation domain, and removing the three-dimensional model from the calculation domain to form the fluid dynamics simulation model.
Preferably, the fluid analysis unit comprises performing the following steps to build a gas flow model around the energy storage device:
(1) Performing network division on the fluid dynamics simulation model;
(2) Simulating and setting different internal pressures in a storage container and different environmental wind conditions in an atmospheric environment, respectively performing simulation calculation, setting gas in the storage container as calculated target gas, simulating a pressure release diffusion process of the target gas released to the atmospheric environment through a release explosion module, calculating target gas volume fractions in each grid in the fluid dynamic simulation model, analyzing and obtaining a flame explosion risk range of the target gas released to the atmospheric environment according to the target gas volume fractions of each grid, and thus establishing a corresponding flame explosion risk range database under different internal pressures of the storage container and different environmental wind conditions;
Preferably, the fluid analysis unit comprises a weather analysis module for receiving and processing environmental data in real time for analyzing the gas flow conditions around the energy storage device;
preferably, the monitoring unit at least comprises a pressure sensor and a temperature sensor, and is used for monitoring the pressure and the temperature in the energy storage device in real time;
preferably, the explosion venting unit comprises a top part arranged on the storage container and at least two opposite side surfaces;
preferably, the decision unit comprises the following steps, wherein the explosion venting operation is determined to be executed by one or more explosion venting modules:
s100: for each explosion venting module m, calculating the target gas volume fraction f (m, g) of each grid g when the explosion venting operation is performed under the current air flow condition, namely:
；
wherein,is the target gas volume in grid g when explosion venting module m vents, and is +.>Is the total volume of grid g;
s200: a mesh in which the target gas integral number exceeds a threshold value T is selected as a candidate mesh G, that is:
；
s300: for each candidate grid G, the probability p (G, E) of occurrence of a dangerous event E under the current condition is calculated and is compared with a set valueThe risk threshold S is compared, i.e. if p exceeds the threshold S, this grid is considered to be dangerous and the set of grids with a risk is denoted Danger g The method comprises the following steps:
；
s400: combining the above calculation results, selecting the target to minimize Danger g The explosion venting module performs explosion venting operation.
The beneficial effects obtained by the invention are as follows:
1. the monitoring and control system of the present invention provides a method for monitoring the pressure and temperature in the storage device and the fluid activity of the environment surrounding the storage device in real time; by mapping out the real-time explosion risk range, the explosion venting strategy can be dynamically adjusted, so that possible explosion events are more effectively prevented;
2. the monitoring and control system is different from the traditional explosion venting mechanism in that the explosion venting is performed in a passive mode, and the explosion venting device is opened only when the pressure exceeds a certain threshold value; according to the technical scheme, the monitoring and control system can optimally select the specified explosion venting module for explosion venting operation according to the real-time environmental conditions and the gas state in the storage container, so that the safety and the efficiency of explosion venting are enhanced;
3. the monitoring and control system can effectively predict the flow direction of the explosion venting gas by optimizing the explosion venting operation, and reduce the risk possibly caused to the surrounding environment and personnel in the explosion venting process; the device has great practical value for the situation of using the compressed flammable and explosive gas energy storage device in places with dense personnel or sensitive environment;
4. The monitoring and control system can be suitable for the existing or newly built storage equipment, wherein each software and hardware part adopts a modularized design, thereby being convenient for upgrading or replacing related software and hardware environments in future and reducing the use cost.
Drawings
The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
Description of sequence number: 10-a modeling unit; 20-a fluid analysis unit; 30-a monitoring unit; a 40-decision unit; 50-explosion venting unit; 100-a storage container; 110-parts; 401-sealing means; 402-an elastomer; 403-connecting seats; 404-a storage container wall; 502-bus; 504-a processor; 506-main memory; 508-read-only memory; 510-a storage device; 512-display; 514-input means; 516-cursor control device; 518-network device.
FIG. 1 is a schematic diagram of a monitoring and control system according to the present invention
FIG. 2 is a schematic diagram of a three-dimensional model obtained by modeling an energy storage device and a periphery in an embodiment of the present invention;
FIG. 3 is a schematic diagram of network partitioning of the fluid dynamics simulation model according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the explosion venting module according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a computer system used in an embodiment of the invention.
Detailed Description
In order to make the technical scheme and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the following examples thereof; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. Other systems, methods, and/or features of the present embodiments will be or become apparent to one with skill in the art upon examination of the following detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description. Included within the scope of the invention and protected by the accompanying claims. Additional features of the disclosed embodiments are described in, and will be apparent from, the following detailed description.
The same or similar reference numbers in the drawings of embodiments of the invention correspond to the same or similar components; in the description of the present invention, it should be understood that, if any, the terms "upper," "lower," "left," "right," and the like indicate an orientation or a positional relationship based on the orientation or the positional relationship shown in the drawings, this is for convenience of description and simplification of the description, and does not indicate or imply that the apparatus or component to be referred to must have a specific orientation. The terms describing the positional relationship in the drawings are merely for illustrative purposes and are not to be construed as limiting the present patent, and specific meanings of the terms are understood by those of ordinary skill in the art according to specific circumstances.
Embodiment one: an embodiment of an intelligent explosion venting monitoring and control system for an energy storage device is exemplarily provided; the monitoring and controlling system is used for monitoring the energy storage device which stores inflammable and explosive gas, calculating environmental conditions in multiple directions around the energy storage device when the safety risk of the energy storage device occurs, and controlling the explosion venting component on the energy storage device to conduct explosion venting operation in a designated preferential direction; wherein the monitoring and control system comprises:
the modeling unit is configured to perform three-dimensional modeling on the energy storage device and the surrounding space thereof so as to obtain a hydrodynamic simulation model of the energy storage device; the modeling unit comprises three-dimensional scanning equipment and is used for acquiring real-time three-dimensional data of the surrounding environment of the energy storage device;
a fluid analysis unit configured to calculate a gas flow condition around the energy storage device under various air flow conditions simulated by the computer to establish a gas flow model; under the air flow condition of the real environment, carrying out rapid prediction on the air flow around the energy storage device based on the air flow model;
the monitoring unit is configured to collect working indexes of the energy storage device so as to determine whether the energy storage device is at risk currently;
The decision unit is configured to determine real-time environmental conditions around the energy storage device by adopting an artificial intelligence algorithm based on the data provided by the modeling unit, the fluid analysis unit and the monitoring unit when the energy storage device needs to be subjected to explosion venting so as to determine an optimal explosion venting direction and a explosion venting prohibition direction;
the explosion venting unit comprises explosion venting modules which are arranged in a plurality of directions around the energy storage device; the explosion venting unit starts one or more designated explosion venting modules to perform explosion venting operation on the energy storage device based on the analysis result of the decision unit;
preferably, the energy storage device comprises a storage container for storing gas and components arranged at the periphery of the storage container;
preferably, the modeling unit comprises performing the following steps, creating a three-dimensional model for the monitoring and control system:
(1) Measuring geometrical parameters of the shape of the energy storage container and establishing a three-dimensional sub-model of the energy storage container, wherein the method comprises the steps of measuring the geometrical parameters of elements exposed outside the energy storage container and establishing the three-dimensional sub-model, and combining all the three-dimensional sub-models of the energy storage device to obtain a final three-dimensional model;
(2) Adding a calculation domain outside the three-dimensional model; the calculation domain takes the energy storage container as a central point, and sets the maximum horizontal width of 10 times of the energy storage container as the calculation radius of the calculation domain; the calculated height of the calculated domain is 2 times the maximum height of the energy storage capacity; and performing Boolean subtraction operation on the calculation domain, and removing the three-dimensional model from the calculation domain to form the fluid dynamics simulation model.
Preferably, the fluid analysis unit comprises performing the following steps to build a gas flow model around the energy storage device:
(1) Performing network division on the fluid dynamics simulation model;
(2) And simulating and setting different internal pressure in the storage container and different environmental wind conditions in the atmospheric environment, respectively performing simulation calculation, setting gas in the storage container as calculated target gas, simulating a pressure release diffusion process of the target gas released to the atmospheric environment through the explosion release module, calculating target gas volume fractions in each grid in the fluid dynamic simulation model, analyzing and obtaining a flame and explosion risk range of the target gas released to the atmospheric environment according to the target gas volume fractions of each grid, and thus establishing a corresponding flame and explosion risk range database under different internal pressure of the storage container and different environmental wind conditions.
Preferably, the fluid analysis unit comprises a weather analysis module for receiving and processing environmental data in real time for analyzing the gas flow conditions around the energy storage device.
Preferably, the monitoring unit comprises at least a pressure sensor and a temperature sensor for monitoring the pressure and temperature in the energy storage device in real time.
Preferably, the explosion venting unit comprises a top portion disposed on the storage container, and at least two opposite sides.
Preferably, the decision unit comprises the following steps, wherein the explosion venting operation is determined to be executed by one or more explosion venting modules:
s100: for each explosion venting module m, calculating the target gas volume fraction f (m, g) of each grid g when the explosion venting operation is performed under the current air flow condition, namely:
；
wherein,is the target gas volume in grid g when explosion venting module m vents, and is +.>Is the total volume of grid g;
s200: a mesh in which the target gas integral number exceeds a threshold value T is selected as a candidate mesh G, that is:
；
s300: for each candidate grid G, the probability p (G, E) of the occurrence of a dangerous event E under the current conditions is calculated and compared with a set dangerous threshold S, i.e. if p exceeds the threshold S, the grid is considered to be at risk Risk, and the set of these dangerous grids is denoted Danger g The method comprises the following steps:
；
s400: combining the above calculation results, selecting the target to minimize Danger g The explosion venting module performs explosion venting operation.
One architectural composition of the monitoring and control system is illustrated schematically in fig. 1.
The modeling unit is a key part of the technical scheme, and the main function of the modeling unit is to create a three-dimensional model of the energy storage device and the surrounding environment of the energy storage device. This model is a digital representation of the energy storage device and environment and can be used for subsequent fluid analysis and dynamic adjustment of explosion venting strategies.
In an exemplary embodiment, the modeling unit may employ one or more three-dimensional modeling techniques, for example, may obtain an accurate three-dimensional shape of the energy storage device by a Laser Scanning (Laser Scanning) or optical measurement (photo-measurement) method; meanwhile, the accurate position and the gesture of the device can be obtained through sensors such as a GPS, an IMU (Inertial Measurement Units) and the like; the data acquired by the above sensing devices may be input into a three-dimensional modeling software, such as AutoCAD, solidWorks, rhino, etc., to create an accurate three-dimensional model.
Further, the modeling unit includes modeling an environment around the energy storage device; various factors may be involved in the terrain, building, wind direction, temperature, etc.; these data may be obtained in various ways; the topography and building data can be obtained by remote sensing images or a GIS system (Geographic Information System), the wind direction and temperature data can be obtained by a weather station, and the like; these data may be input into a Geographic Information System (GIS) or CFD (Computational Fluid Dynamics) software to create a three-dimensional model of the environment.
Preferably, when the functions are realized, the modeling unit can divide the work into two stages of primary modeling and quick modeling, so that the three-dimensional model has detailed shape and position data, and the working efficiency of daily updating operation of the three-dimensional model is improved; wherein,
the primary modeling stage is performed when the energy storage device is initially installed or moved to a new location; in this stage, the modeling unit will first use various sensors and measuring devices, such as the laser scanners, optical measuring devices, GPS, IMU, etc. described above to comprehensively measure the three-dimensional structure and position of the energy storage device; meanwhile, detailed data of surrounding environment including terrain, buildings, wind directions, temperatures and the like are acquired in a remote sensing mode, a GIS mode and the like; these data will be input into the three-dimensional modeling software and the geographic information system, generating detailed three-dimensional models of the energy storage device and its surrounding environment.
The rapid modeling stage is performed according to real-time state changes in the operation process of the energy storage device; in this stage, the modeling unit may use a small number of sensors and measurement devices to rapidly measure changes in critical parts of the energy storage device, such as size, shape, position, etc.; at the same time, real-time data of the surrounding environment, such as pictures, videos or other modes, are acquired through the network, and are input into the detailed three-dimensional model generated before, and a new three-dimensional model is quickly generated through calculation and optimization.
Preferably, the switching of the two phases can be automatically controlled by software or manually controlled by a related technician; in the primary modeling stage, software generates a detailed three-dimensional model and a strategy for rapid modeling; in the rapid modeling stage, the software only updates the part to be updated according to the strategy, so that the modeling efficiency is greatly improved; through the mutual coordination of the primary modeling and the rapid modeling, the modeling unit can improve the modeling efficiency and flexibility while guaranteeing the accuracy of the three-dimensional model, so that the modeling unit can better adapt to the real-time change of the energy storage device and the environment.
Through the above steps, a three-dimensional model of the energy storage device and its surrounding environment as shown in fig. 2 can be finally obtained.
It should be understood that the energy storage device may be located indoors or outdoors; the modeling unit can adopt modeling data in a measuring mode of various angles; for example, a ground measurement, an aerial measurement or a measurement mode combining the ground measurement and the aerial measurement; the manner in which measurements are taken in the air includes taking measurements of the relevant measuring instruments with, for example, aircraft, drones, lifting platforms or buildings relatively high in the periphery, in order to obtain environmental data over a greater range.
Further, checking whether the actual size and the model size of the established three-dimensional model accord with the ratio, and adding a calculation domain outside the three-dimensional model; the calculation domain range of the body is a three-dimensional definition range, one optional calculation domain range is to set 10 times of the maximum horizontal width of the energy storage container as the calculation radius of the calculation domain by taking the energy storage container as a central point; the calculated height of the calculated domain is 2 times the maximum height of the energy storage capacity; performing Boolean subtraction operation on the calculation domain, and removing the three-dimensional model from the calculation domain to form a fluid dynamics simulation model; however, the above calculation radius and calculation height limit are recommended values after balancing the calculation speed and the simulation accuracy requirements, and specific numerical values can be adjusted in a specific implementation process.
Preferably, when the fluid dynamics simulation model is grid-divided, the calculation domain is divided into an inner area and an outer area, and the grid size of the inner area is smaller than that of the outer area; wherein the interior region is: setting a region formed by the maximum horizontal width of the energy storage container with the radius of 2 times and the maximum horizontal height of the energy storage container with the height of 1.5 times by taking the energy storage container as a center point; the outer region is the region of the computing domain other than the inner region.
Preferably, the method comprises the steps of performing boundary and initial condition calculation setting on a calculation domain, performing grid independence test, selecting a plurality of measuring points as grid independence test parameters, performing one or more calculation domains by adopting a mode of increasing grid density, considering that grid independence is verified when the relative change rate of a calculation result under a new encryption grid scheme and a calculation result under a previous grid scheme is less than 5%, and selecting a grid division scheme at the moment.
Finally, as shown in fig. 3, in an exemplary embodiment, after performing network partitioning of the computational domain on the cylindrical storage container, exemplary network partitioning scheme data is obtained; wherein the storage container 100 is excluded from the computing domain, the perimeter illustratively having two components 110; the component 110 may be included in the calculation domain or excluded from the calculation domain, and specifically set by a person skilled in the relevant art according to the attribute of the component 110 and the degree of influence on the explosion venting evolution.
Further, for different target gas pressures in the storage container and different environmental wind conditions in the atmosphere environment, respectively performing simulation calculation, simulating a pressure relief diffusion process of releasing target gas in the storage container to the atmosphere environment through one or more explosion release modules, calculating target gas volume fractions of each grid in the fluid dynamic simulation model, analyzing and obtaining explosion risk ranges of releasing target gas to the atmosphere environment according to the target gas volume fractions of each grid, and thus establishing a corresponding explosion risk range database under different target gas pressures and different environmental wind conditions.
In the step of simulating fluid analysis, setting a plurality of different target gas pressures by taking a fixed value as a separation according to the target gas pressure range in the storage container; the environmental wind conditions comprise wind power levels and wind directions, a plurality of different wind power levels are set according to the wind power, a plurality of different wind directions are set, and the different environmental wind conditions are constructed by combining the different wind power levels and the different wind directions.
The method comprises the steps of performing simulation and emulation calculation by utilizing fluid dynamics calculation software OpenFOAM, simulating a pressure relief diffusion process of releasing target gas in a storage container into an atmospheric environment, and comprising the following steps: analyzing a target gas depressurization process in the storage container, and obtaining a target gas flow rate at a discharge port of the explosion venting module according to the change of the target gas pressure in the storage container; and calculating the target gas volume fraction of each grid in the fluid dynamic simulation model at different moments according to the target gas flow rate at the discharge port and the ambient wind conditions.
The target gas flow rate at the discharge port is obtained by analysis according to hydrodynamics and thermodynamic knowledge theory, the flow rate of the discharge port and the target gas pressure in the storage container are hooked, the pressure is continuously reduced along with the time pushing, and the flow rate is also continuously reduced; the target gas flow rate at the discharge port is used as a boundary condition to be imported into OpenFOAM software, and the OpenFOAM software can continuously calculate the target gas concentration of each grid in the whole calculation domain according to the flow rate.
Aiming at any specific target gas initial pressure and environmental wind condition, performing simulation calculation by adopting fluid dynamics calculation software OpenFOAM, and simulating the diffusion process of releasing the target gas in the storage container into the atmosphere; considering that the pressure in the storage container is continuously reduced due to the release of the target gas, so that the flow rate of the release port is continuously reduced, analyzing the time-dependent change process of the flow rate of the target gas of the release port according to the compressible fluid flow theory before the simulation is started, and taking the time-dependent change process as the boundary condition of the release port; according to the compressible flow theory, under the high pressure condition, the target gas of the discharge port is in a blocking state, the flow rate of the target gas is equal to the local sonic velocity, and the value is related to the initial pressure; in a very small time, the flow rate can be considered to be constant, so that the mass of the target gas flowing out of the storage container in the very small time period and the mass and the pressure of the residual target gas in the storage container can be analyzed, and the mass of the target gas flowing out in the next time period and the flow rate of the discharge port can be analyzed based on the mass and the pressure of the residual target gas; repeatedly performing iterative computation to obtain a pressure decay curve, a mass decay curve and a target gas flow velocity curve at a TPRD discharge port in the storage container; inputting the target gas flow rate and the environmental wind condition at the TPRD discharge port obtained by theoretical analysis into OpenFOAM software as boundary conditions, and calculating the target gas volume fraction of each grid in the hydrodynamic simulation model at different moments; openFOAM software is open-source computational fluid dynamics software, which adopts a finite volume method to solve partial differential equations describing fluid motion, and has been widely applied to numerical computation and scientific research; the target gas release diffusion process can be described in physics by adopting a mass conservation equation, a momentum conservation equation, an energy conservation equation and a component transportation equation, and only the flow speed, the direction and the concentration on a model boundary are set in an OpenFOAM (open field programmable array), the equations are scattered into a linear equation set on the whole calculation domain based on the OpenFOAM software, and the solution operation is carried out through a matrix calculation tool, so that the target gas flow speed, the target gas volume fraction and the like at the center of each grid in the calculation domain at different moments are obtained.
Taking a grid with the target gas volume fraction within a set range as a risk grid, namely, the risk of explosion exists; the region formed by the risk grids is an explosion risk region, and an explosion risk range for discharging target gas is obtained according to the explosion risk region; wherein, the grid with the target gas volume fraction in the range of 4% -75% is used as a risk grid.
Further, the decision unit determines that one or more explosion venting modules execute the explosion venting operation by adopting the steps S100 to S400.
And the method comprises the steps of triggering the decision unit to execute the calculation steps by adopting the monitoring unit; wherein, the sensor for measurement can be installed at the middle part of the storage container 100 to monitor the temperature and pressure of the middle part of the storage container 100; however, in other embodiments, it may be mounted in other locations.
In a preferred embodiment, the decision unit further includes a trigger circuit, where the trigger circuit is respectively connected to each sensor in the monitoring unit in a communication manner, and the trigger circuit triggers the decision unit to work based on measurement information of the measurement sensor, so as to determine whether the explosion venting step is needed; the trigger circuit may include a controller, for example, after the controller obtains the parameter information of the measurement sensor, the controller sends a judgment to the gas generator 5 based on the measured parameter information to determine whether the explosion venting step is needed.
In a preferred embodiment, the monitoring unit monitors the surrounding environment, including environmental parameters such as wind direction, wind speed, temperature, humidity, etc., and special conditions that may affect the explosion venting effect, such as open flame points, inflammable substances, personnel distribution, etc.; the data can be acquired by means of a geographic information system, remote sensing equipment, video monitoring and the like; the monitoring unit analyzes the data in real time, and if any situation which possibly affects the explosion venting effect is found, if an open fire occurs, the wind direction is unfavorable for explosion venting, and the like, the explosion venting strategy is adjusted; after the above surrounding environment data is quantized, the selection of the explosion venting module can be more specifically judged by adding the quantized surrounding environment data to the calculation of the probability p (G, E) of the dangerous event E.
Embodiment two: this embodiment should be understood to include at least all of the features of any one of the previous embodiments and be further modified based thereon.
An embodiment of the explosion venting module is described.
As shown in fig. 4, the explosion venting module comprises a sealing device 401, wherein the sealing device 401 comprises an elastomer 402 and a connecting seat 403, one end of the elastomer 402 is connected with the connecting seat 403, and the other end is connected with the sealing device 401; when in installation and use, a hole is formed in the storage container, the connecting seat 3 is fixedly connected with the storage container, and the sealing device 1 is in sealing contact with the hole wall of the hole of the storage container; so set up, elastomer 402 provides certain pulling force to sealing device 401, avoids under the conventional pressure, sealing device 401 breaks away from the reservoir, simultaneously, when the pressure in the reservoir is higher than the pulling force of elastomer 402, sealing device 401 outwards removes along reservoir wall 404 under the effect of atmospheric pressure, until finally breaks away from reservoir wall 404 completely, releases the gas and releases the pressure release and explode.
Embodiment III: this embodiment should be understood to include at least all of the features of any one of the foregoing embodiments, and further improvements thereto:
by way of example, FIG. 5 depicts a schematic diagram of a computer system in which one of the control systems described herein may be implemented.
Wherein the computer system includes a bus 502 or other communication mechanism for communicating information, and one or more processors 504 coupled with bus 502 for processing information; the processor 504 may be, for example, one or more general-purpose microprocessors.
Computer system also includes a main memory 506, such as a Random Access Memory (RAM), cache memory, and/or other dynamic storage device, coupled to bus 502 for storing information and instructions to be executed by processor 504; main memory 506 also may be used for storing temporary variables or other intermediate information during execution of instructions to be executed by processor 504; these instructions, when stored in a storage medium accessible to processor 504, present the computer system as a special purpose machine that is customized to perform the operations specified in the instructions.
The computer system may also include a Read Only Memory (ROM) 508 or other static storage device coupled to bus 502 for storing static information and instructions for processor 504; a storage device 510, such as a magnetic disk, optical disk, or USB drive (flash drive), among others, is coupled to bus 502 for storing information and instructions.
And further, coupled to bus 502 can also include a display 512 for displaying various information, data, media, etc., an input device 514 for allowing a user of the computer system to control, manipulate, and/or interact with the computer system.
A preferred way of interacting with the management system may be through a cursor control device 516, such as a computer mouse or similar control/navigation mechanism.
Further, the computer system may also include a network device 518 coupled to bus 502; wherein network device 518 may include components such as wired network cards, wireless network cards, switch chips, routers, switches, and the like.
In general, as used herein, the words "engine," "component," "system," "database," and the like may refer to logic embodied in hardware or firmware, or to a set of software instructions, possibly with entries and exit points, written in a programming language such as Java, C, or C++; the software components may be compiled and linked into an executable program, installed in a dynamic linked library, or may be written in an interpreted programming language (e.g., BASIC, perl, or Python); it should be appreciated that software components may be invoked from other components or from themselves, and/or may be invoked in response to a detected event or interrupt.
Software components configured to execute on a computing device may be provided on a computer readable medium, such as an optical disk, digital video disk, flash drive, magnetic disk, or any other tangible medium, or as a digital download (and may be initially stored) in a compressed or installable format, requiring installation, decompression, or decryption prior to execution; such software code may be stored in part or in whole on a memory device executing the computing device for execution by the computing device; the software instructions may be embedded in firmware, such as EPROM. It should also be appreciated that the hardware components may be comprised of connected logic units (e.g., gates and flip-flops) and/or may be comprised of programmable units (e.g., programmable gate arrays or processors).
The computer system includes computing devices that can implement the techniques described herein using custom hardwired logic, one or more ASICs or FPGAs, firmware, and/or program logic that, in combination with the computer system, make the computer system a special purpose computing device.
In accordance with one or more embodiments, the techniques herein are performed by a computer system in response to processor 504 executing one or more sequences of one or more instructions contained in main memory 506; such instructions may be read into main memory 506 from another storage medium, such as storage device 510; execution of the sequences of instructions contained in main memory 506 causes processor 504 to perform the process steps described herein; in alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions.
The term "non-transitory medium" and similar terms as used herein refer to any medium that stores data and/or instructions that cause a machine to operate in a specific manner; such non-transitory media may include non-volatile media and/or volatile media; nonvolatile media includes, for example, optical or magnetic disks, such as storage device 510; volatile media includes dynamic memory, such as main memory 506.
Common forms of non-transitory media include, for example, a floppy disk, a flexible disk, hard disk, solid state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, an NVRAM, any other memory chip or cartridge, and network versions thereof.
Non-transitory media are different from, but may be used in conjunction with, transmission media; the transmission medium participates in information transmission between the non-transient mediums; for example, transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus 502; transmission media can also take the form of acoustic or light waves, such as radio wave and infrared data communications.
While the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications can be made without departing from the scope of the invention. That is, the methods, systems and devices discussed above are examples. Various configurations may omit, replace, or add various procedures or components as appropriate. For example, in alternative configurations, the methods may be performed in a different order than described, and/or various components may be added, omitted, and/or combined. Moreover, features described with respect to certain configurations may be combined in various other configurations, such as different aspects and elements of the configurations may be combined in a similar manner. Furthermore, as the technology evolves, elements therein may be updated, i.e., many of the elements are examples, and do not limit the scope of the disclosure or the claims.
Specific details are given in the description to provide a thorough understanding of exemplary configurations involving implementations. However, configurations may be practiced without these specific details, e.g., well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary detail in order to avoid obscuring configurations. This description provides only an example configuration and does not limit the scope, applicability, or configuration of the claims. Rather, the foregoing description of the configuration will provide those skilled in the art with an enabling description for implementing the described techniques. Various changes may be made in the function and arrangement of elements without departing from the spirit or scope of the disclosure.
It is intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that it is intended that it be regarded as illustrative rather than limiting. Various changes and modifications to the present invention may be made by one skilled in the art after reading the teachings herein, and such equivalent changes and modifications are intended to fall within the scope of the invention as defined in the appended claims.
Claims (5)
1. The intelligent explosion venting monitoring and controlling system for the energy storage device is characterized in that the monitoring and controlling system is used for monitoring the energy storage device which stores inflammable and explosive gas, calculating environmental conditions in multiple directions around the energy storage device when the safety risk of the energy storage device occurs, and controlling an explosion venting component on the energy storage device to conduct explosion venting operation in a specified direction; wherein the monitoring and control system comprises:
the modeling unit is configured to perform three-dimensional modeling on the energy storage device and the surrounding space thereof so as to obtain a hydrodynamic simulation model of the energy storage device; the modeling unit comprises three-dimensional scanning equipment and is used for acquiring real-time three-dimensional data of the surrounding environment of the energy storage device;
a fluid analysis unit configured to calculate a gas flow condition around the energy storage device under various air flow conditions simulated by the computer to establish a gas flow model; under the air flow condition of the real environment, the rapid prediction of the peripheral air flow of the energy storage device is carried out based on the air flow model;
The monitoring unit is configured to collect working indexes of the energy storage device so as to determine whether the energy storage device is at risk currently;
the decision unit is configured to determine real-time environmental conditions around the energy storage device by adopting an artificial intelligence algorithm based on the data provided by the modeling unit, the fluid analysis unit and the monitoring unit when the energy storage device needs to be subjected to explosion venting so as to determine an optimal explosion venting direction and a explosion venting prohibition direction;
the explosion venting unit comprises explosion venting modules which are arranged in a plurality of directions around the energy storage device; the explosion venting unit enables more than one appointed explosion venting module to perform explosion venting operation on the energy storage device based on the analysis result of the decision unit;
the explosion venting module comprises a sealing device, an elastomer and a connecting seat, wherein one end of the elastomer is connected with the connecting seat, and the other end of the elastomer is connected with the sealing device; when the sealing device is installed and used, a hole is formed in the storage container, the connecting seat is fixedly connected with the storage container, and the sealing device is in sealing contact with the hole wall of the hole of the storage container; the elastic body provides a certain pulling force for the sealing device, so that the sealing device is prevented from being separated from the storage container under the conventional pressure, and simultaneously, when the pressure in the storage container is higher than the pulling force of the elastic body, the sealing device moves outwards along the wall of the storage container under the action of air pressure until the sealing device is completely separated from the wall of the storage container finally, and the air is released to release pressure and explosion;
The energy storage device comprises a storage container for storing gas and components arranged on the periphery of the storage container;
the modeling unit includes performing the steps of establishing a three-dimensional model for the monitoring and control system:
(1) Measuring geometrical parameters of the shape of the energy storage container and establishing a three-dimensional sub-model of the energy storage container, wherein the method comprises the steps of measuring the geometrical parameters of elements exposed outside the energy storage container and establishing the three-dimensional sub-model, and combining all the three-dimensional sub-models of the energy storage device to obtain a final three-dimensional model;
(2) Adding a calculation domain outside the three-dimensional model; the calculation domain takes the energy storage container as a central point, and sets the maximum horizontal width of 10 times of the energy storage container as the calculation radius of the calculation domain; the calculated height of the calculated domain is 2 times the maximum height of the energy storage capacity; performing Boolean subtraction operation on the calculation domain, and removing the three-dimensional model from the calculation domain to form a fluid dynamics simulation model;
the fluid analysis unit comprises performing the following steps to create a gas flow model around the energy storage device:
(1) Performing network division on the fluid dynamics simulation model;
(2) Simulating and setting different internal pressures in a storage container and different environmental wind conditions in an atmospheric environment, respectively performing simulation calculation, setting gas in the storage container as calculated target gas, simulating a pressure release diffusion process of the target gas released to the atmospheric environment through a release explosion module, calculating target gas volume fractions in each grid in the fluid dynamic simulation model, analyzing and obtaining a flame explosion risk range of the target gas released to the atmospheric environment according to the target gas volume fractions of each grid, and thus establishing a corresponding flame explosion risk range database under different internal pressures of the storage container and different environmental wind conditions;
The decision unit comprises the following steps of determining that more than one explosion venting module executes explosion venting operation:
s100: for each explosion venting module m, a target gas volume fraction f (m, g) of the respective grid g when it performs an explosion venting operation under the current air flow conditions is calculated, namely:
；
wherein,is the target gas volume in grid g when explosion venting module m vents, and is +.>Is the total volume of grid g;
s200: a mesh in which the target gas volume fraction exceeds a threshold T is selected as a candidate mesh G, namely:
；
s300: for each candidate grid G, the probability p (G, E) of the occurrence of a dangerous event E under the current conditions is calculated and compared with a set dangerous threshold S, i.e. if p exceeds the threshold S, the grid is considered dangerous and theseThe set of grids with risk is denoted Danger g The method comprises the following steps:
；
s400: combining the above calculation results, selecting the target to minimize Danger g The explosion venting module performs explosion venting operation.
2. The monitoring and control system of claim 1, wherein the fluid analysis unit includes a weather analysis module for receiving and processing environmental data in real-time for analyzing gas flow conditions around the energy storage device.
3. The monitoring and control system of claim 2, wherein the monitoring unit includes at least a pressure sensor and a temperature sensor for monitoring the pressure and temperature within the energy storage device in real time.
4. The monitoring and control system of claim 3, wherein the explosion venting unit is disposed on top of the storage container and on at least two opposing sides of the storage container.
5. A computer system comprising a processor, a memory, and a bus; the memory stores machine-readable instructions executable by the processor, which when executed by the processor, perform the functions of the monitoring and control system of claim 4, when the computer system is running, the processor communicates with the memory via a bus.
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