Digital twinborn visual rehearsal method and system for hazardous chemical substance storage area

Abstract

The invention is suitable for the technical field of risk rehearsal, and particularly relates to a digital twinborn visual rehearsal method and system for a hazardous chemical substance storage district, and the method comprises the steps: delimiting a control range of the hazardous chemical substance storage district, constructing a test scene, releasing test gas through test equipment disposed in the control range in advance, and carrying out the digital twinborn visual rehearsal on the hazardous chemical substance storage district from the control range, and selecting a plurality of sample point locations, and collecting the concentration data of the test gas through detection equipment arranged at the sample point locations. According to the method, the flow concentration is utilized, rehearsal feedback is corrected, dynamic data can be utilized, closed-loop correction of the digital twinborn model can be achieved, the authenticity and accuracy of the digital twinborn model are remarkably improved, the adaptability of the digital twinborn model to complex working conditions is improved, the digital twinborn model is continuously optimized through virtual and real combination, and the method is suitable for large-scale popularization and application. A continuously iterative risk assessment system can be formed, the risk response level of the hazardous chemical substance storage area is greatly improved, and the safety management capability is enhanced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of risk pre-play, and in particular to a dangerous chemical warehouse area digital twin visualization pre-play method and system. BACKGROUND

[0002] Dangerous chemical warehouse areas usually store flammable, explosive, toxic or strongly corrosive chemicals. Once a leakage, diffusion or secondary accident occurs, it is extremely easy to cause serious harm to personnel safety, equipment and facilities and the surrounding environment. The safety management of dangerous chemical warehouse areas mainly relies on on-site sensor detection, video monitoring and personnel patrol. With the development of technology, three-dimensional modeling or digital twin technology has also been introduced. By constructing a digital twin model, the spatial structure and equipment layout of the warehouse area can be intuitively displayed. However, the digital twin model is mainly for static display or post-analysis, and it is difficult to truly reflect the dynamic change process of dangerous chemicals under actual working conditions.

[0003] For example, when a dangerous chemical warehouse area has a leakage accident or a large-scale leakage accident, the digital twin model cannot truly reflect the risk diffusion path and impact range, which may result in inaccurate evacuation range delineation, unreasonable rescue route and reduced reliability of disposal decision-making.

[0004] Therefore, how to use dynamic data to correct the parameters of the digital twin model is a technical problem that needs to be solved by the present application. SUMMARY

[0005] The present application aims to provide a dangerous chemical warehouse area digital twin visualization pre-play method and system to solve the problem of how to use dynamic data to correct the parameters of the digital twin model as described in the background.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

[0007] The dangerous chemical warehouse area digital twin visualization pre-play method comprises:

[0008] Delineating the control range of the dangerous chemical warehouse area, constructing a test scene, releasing test gas using test equipment pre-deployed in the control range, selecting a plurality of sample points from the control range, collecting concentration data of the test gas through detection equipment arranged at the sample points, wherein each sample point corresponds to a concentration data;

[0009] With time as the horizontal coordinate, the concentration data corresponding to the time as the vertical coordinate, draw the trend chart, integrate the trend chart of all sample points, get the atlas, locate the deployment position of the test equipment, establish a one-to-one correspondence between the deployment position and the atlas, select a plurality of observation time points according to the preset step length, draw the risk heat map of the concentration data at the observation time point, and sequentially render to generate a visual sequence, and correct the parameters of the established digital twin model;

[0010] Create a rehearsal plan, wherein the rehearsal plan includes: a virtual group and a field group, collect the flow concentration of the rehearsal personnel in the field group, collect the Bluetooth signal of the rehearsal personnel through a plurality of groups of Bluetooth receivers deployed in the control range, and locate the rehearsal personnel according to the signal strength to obtain the real-time position;

[0011] Synchronize the real-time position to the digital twin model, activate the virtual group, visualize the digital twin model, obtain the rehearsal feedback, and correct the rehearsal feedback using the flow concentration.

[0012] Further, the step of delimiting the control range of the hazardous chemical storage area and constructing a test scene includes:

[0013] Divide the control range into a plurality of sub-areas, and set the risk level of each sub-area;

[0014] Adjust the sample points according to the risk level.

[0015] Further, the step of releasing test gas from the test equipment pre-deployed in the control range to select a plurality of sample points from the control range includes:

[0016] Update the test gas and sample points according to the preset frequency;

[0017] Record the adjustment process, extract key features, and write them into a preset template to generate a version.

[0018] Further, the step of selecting a plurality of observation time points according to the preset step length and drawing the risk heat map of the concentration data at the observation time point includes:

[0019] Obtain attribute data of the hazardous chemical storage area, wherein the attribute data at least includes: hazardous chemical components and inventory;

[0020] Set a negative correlation between the inventory and the preset step length.

[0021] Further, the step of collecting the flow concentration of the rehearsal personnel in the field group includes:

[0022] Create a safety interval, when the flow concentration exceeds the safety interval, activate the pre-edited emergency disposal rule;

[0023] Determine the real-time position of each drill personnel via the signal strength combined with the multi-angle positioning algorithm.

[0024] Further, the step of synchronizing the real-time position into the digital twin model, activating the virtual group, visualizing the pre-rehearsal of the digital twin model, and obtaining the pre-rehearsal feedback comprises:

[0025] Obtain multi-source data within the control range, wherein the multi-source data at least includes: meteorological data, temperature and humidity;

[0026] Create a gas diffusion model, label the concentration data and flow concentration, generate a training set, and train the gas diffusion model.

[0027] Further, the system comprises:

[0028] The demarcation module is configured to demarcate the control range of the hazardous chemical warehouse area, construct a test scene, release test gas by using test equipment pre-deployed in the control range, select a plurality of sample points from the control range, and collect concentration data of the test gas via detection equipment arranged at the sample points, wherein each sample point corresponds to one concentration data.

[0029] The training module is configured to plot a change trend graph with time as the horizontal coordinate and concentration data corresponding to the time as the vertical coordinate, integrate change trend graphs of all sample points to obtain a graph set, locate the deployment position of the test equipment, establish a one-to-one correspondence between the deployment position and the graph set, select a plurality of observation time points according to a preset step length, plot a risk heat map of the concentration data at the observation time points, and sequentially render to generate a visual sequence, and perform parameter correction on the established digital twin model.

[0030] The obtaining module is configured to create a pre-rehearsal scheme, wherein the pre-rehearsal scheme includes a virtual group and a field group, collect flow concentration of drill personnel in the field group, collect Bluetooth signals of the drill personnel via a plurality of Bluetooth receivers deployed in the control range, and locate the drill personnel according to the signal strength to obtain real-time positions.

[0031] The correction module is configured to synchronize the real-time position into the digital twin model, activate the virtual group, visualize the pre-rehearsal of the digital twin model, obtain pre-rehearsal feedback, and correct the pre-rehearsal feedback by using the flow concentration.

[0032] Further, the demarcation module comprises:

[0033] A segmentation unit is used to divide the control range into several partitions and set the risk level for each partition;

[0034] An adjustment unit is used to adjust the sample points based on the risk level.

[0035] The update unit is used to update the test gas and sample points according to a preset frequency;

[0036] The recording unit is used to record the adjustment process, extract key features, and write them into a preset template to generate a version.

[0037] Furthermore, the training module includes:

[0038] An acquisition unit is used to acquire attribute data of a hazardous chemical storage area, wherein the attribute data includes at least: hazardous chemical components and inventory quantity;

[0039] The setting unit is used to set the negative correlation between inventory quantity and preset step size.

[0040] Furthermore, the obtaining module includes:

[0041] Create a unit to create a safe zone. When the flow concentration exceeds the safe zone, activate the pre-edited emergency response rules.

[0042] The positioning unit is used to determine the real-time location of each participant by means of the signal strength and a multi-angle positioning algorithm.

[0043] Compared with the prior art, the beneficial effects of the present invention are:

[0044] By determining concentration data, the gas diffusion state can be quantified, avoiding qualitative judgments and facilitating the depiction of spatial distribution characteristics during hazardous chemical leaks. Simultaneously, it provides data samples for digital twin models. By constructing atlases, it can cover multiple leak scenarios, improving scenario completeness, helping to identify high-risk leak sources, enhancing the generalization ability of digital twin models, and verifying the influence of environmental factors on diffusion. By collecting flow concentration data, pre-simulation feedback can be corrected, and combined with dynamic data, closed-loop correction of the digital twin model can be achieved, significantly improving the realism and accuracy of the digital twin model, enhancing its adaptability to complex operating conditions, and continuously optimizing the digital twin model to form a continuously iterative risk assessment system, greatly improving the risk response level of hazardous chemical storage areas and enhancing safety management capabilities. Attached Figure Description

[0045] Figure 1 A flowchart illustrating the digital twin visualization pre-simulation method for hazardous chemical storage areas provided in this embodiment of the invention;

[0046] Figure 2 This is a first sub-flowchart of the digital twin visualization pre-simulation method for hazardous chemical storage areas provided in an embodiment of the present invention;

[0047] Figure 3 This is a second sub-flowchart of the digital twin visualization pre-simulation method for hazardous chemical storage areas provided in this embodiment of the invention;

[0048] Figure 4 The third sub-flowchart of the digital twin visualization pre-simulation method for hazardous chemical storage areas provided in this embodiment of the invention;

[0049] Figure 5 The fourth sub-flowchart of the digital twin visualization pre-simulation method for hazardous chemical storage areas provided in this embodiment of the invention;

[0050] Figure 6 This is a block diagram of the composition of the digital twin visualization pre-simulation system for hazardous chemical storage areas provided in an embodiment of the present invention;

[0051] Figure 7 A block diagram illustrating the components of the delineated modules in the digital twin visualization pre-simulation system for hazardous chemical storage areas provided in this embodiment of the invention;

[0052] Figure 8 A block diagram showing the composition of the training module in the digital twin visualization pre-simulation system for hazardous chemical storage areas provided in this embodiment of the invention;

[0053] Figure 9 A block diagram of the modules obtained in the digital twin visualization pre-simulation system for hazardous chemical storage areas provided in this embodiment of the invention;

[0054] Figure 10 This is a block diagram of the calibration module in the digital twin visualization pre-simulation system for hazardous chemical storage areas provided in this embodiment of the invention. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0056] In Example 1, Figure 1 The implementation flow of the digital twin visualization pre-simulation method for hazardous chemical storage areas provided in this embodiment of the invention is illustrated below, and is described in detail below:

[0057] S100: Define the control area of ​​the hazardous chemical storage area, construct the test scenario, release the test gas using the test equipment pre-deployed within the control area, select several sample points from the control area, and collect the concentration data of the test gas through the detection equipment deployed at the sample points, where each sample point corresponds to a concentration data.

[0058] Hazardous chemical storage areas can be tank farms or intermediate storage tank areas within chemical plants, typically located outdoors. Boundaries are defined based on the layout of the storage area, surrounding facilities, and potential leakage risks; the area encompassed by these boundaries is defined as the control zone. Simulated leakage test scenarios are constructed, which can be leakage drills or controlled experimental leakage tests. Several testing devices are deployed within the control zone to release test gases. These devices are portable gas release boxes, and the released test gases should be taken from the tail gas of the chemical production system. It is important to note that this tail gas must meet emission standards. The gas composition in the testing devices is analyzed and confirmed by an inspection department. The tail gas is then released into the hazardous chemical storage area using the testing devices to simulate the diffusion of a hazardous chemical leak. Within the control area, based on the spatial distribution of the storage area, airflow direction, and leakage simulation, several sample points are selected. The sample points should include low-lying areas where gas may accumulate, as well as the corners of the control area. Detection equipment for detecting exhaust gas components is deployed at the sample points. During the test, the detection equipment continuously collects, records, and stores the concentration data of the test gas at its location. Each sample point corresponds to one concentration data point.

[0059] In this embodiment, multiple tests should be conducted using testing equipment, with the equipment positioned differently in each test, to obtain more comprehensive concentration diffusion information. The advantage of this approach is that it can construct a multi-point concentration dataset covering the entire control range, accurately reflecting the concentration distribution characteristics of the test gas at different locations, and providing a reliable data foundation for subsequent gas diffusion analysis, risk assessment, and digital twin model calibration.

[0060] S200: Using time as the horizontal axis and the concentration data at the corresponding time as the vertical axis, a trend chart is drawn. The trend charts of all sample points are integrated to obtain a map set. The deployment location of the test equipment is located, and a one-to-one correspondence between the deployment location and the map set is established. According to the preset step size, several observation time points are selected, and a risk heat map of the concentration data at the observation time points is drawn. The data is then rendered sequentially to generate a visualization sequence. The parameters of the established digital twin model are then corrected.

[0061] Record the time corresponding to the concentration data, and plot the concentration trend graph with time as the horizontal axis and the gas concentration data measured at the corresponding time as the vertical axis. Each sample point corresponds to a trend graph. The trend graphs of all sample points in a single test scenario are summarized to generate an atlas. The trend graph can intuitively show the change law of gas concentration over time. The atlas can clearly compare the concentration differences of different sample points in the same time period, which is convenient for analyzing the overall trend and change characteristics of gas diffusion.

[0062] The deployment locations of the testing equipment are determined, and these locations are adjusted multiple times to generate corresponding atlases. A correspondence between the deployment locations and the atlases is established. Throughout the testing scenario, several observation time points are selected sequentially according to a preset step size. For example, if the preset step size is 1 minute, the concentration data of the detection equipment is updated every minute, and the corresponding update time is the observation time point. The advantage of this method is that it enables the concentration data from different sample locations to be comparable at the same time scale.

[0063] A planar distribution map of the control area is drawn, and concentration data at the same observation time point are marked on the planar distribution map to generate a risk heat map. The risk heat map can intuitively reflect the spatial distribution changes of the test gas within the control area at different times. It can be seen that each observation time point corresponds to a risk heat map. The risk heat maps are continuously rendered in chronological order to generate a visual sequence that reflects the dynamic process of gas diffusion. The visual sequence and its corresponding concentration data are input into the established digital twin model. By comparing the simulation results of the digital twin model with the actual detection results, key parameters such as diffusion parameters and environmental impact factors in the digital twin model are gradually corrected.

[0064] S300: Create a rehearsal plan, which includes a virtual group and a field group. Collect the flow concentration of the trainees in the field group. Collect the Bluetooth signals of the trainees through multiple Bluetooth receivers deployed within the control range. Based on the signal strength, locate the trainees and obtain their real-time positions.

[0065] The rehearsal plan is edited, which is also the exercise plan. The rehearsal plan includes a virtual group and a field group. The virtual group refers to the rehearsal conducted in a digital twin model, while the field group involves organizing trainees to conduct on-site exercises within the actual control area. During the field group rehearsal, mobile detection equipment is used to continuously collect concentration data of the environment in which the trainees are located at different locations and times, obtaining the flow concentration. Within the control area, several Bluetooth receivers are deployed to collect Bluetooth signals from the Bluetooth devices carried by the trainees. The collected Bluetooth signals are processed and analyzed in real time. Based on the difference in Bluetooth signal strength obtained from different receiving devices, combined with existing multi-angle positioning algorithms, the trainees are located, thus determining the real-time position of each trainee.

[0066] S400: Synchronize the real-time location to the digital twin model, activate the virtual group, perform a visual pre-simulation of the digital twin model, obtain pre-simulation feedback, and use the flow concentration to correct the pre-simulation feedback.

[0067] Virtual objects corresponding to the trainees are created in the digital twin model. Real-time location information collected on-site is used to synchronize these virtual objects and activate the virtual group, putting the digital twin model into a dynamic operating state. By driving the virtual group to conduct a visual rehearsal in the digital twin environment, the gas diffusion, personnel or equipment activities, and risk evolution process are intuitively presented. Feedback information generated during the rehearsal is acquired, including diffusion path deviations, changes in the impact range, and changes in risk levels. Based on the flow concentration in the on-site group, the rehearsal feedback is compared, analyzed, and corrected, dynamically adjusting the diffusion parameters and behavioral rules in the model to make the rehearsal results more closely resemble real-world conditions.

[0068] In Example 2, Figure 2 The first sub-flowchart of the digital twin visualization pre-simulation method for hazardous chemical storage areas provided in this embodiment of the invention is shown. The following details the steps of delineating the control range of the hazardous chemical storage area, constructing the test scenario, and releasing the test gas using test equipment pre-deployed within the control range:

[0069] S101: Divide the control range into several partitions and set the risk level for each partition.

[0070] The controlled area is divided into several zones according to spatial location and functional purpose. Based on the type of hazardous chemicals, storage scale, ventilation conditions and personnel activities, a corresponding risk level is set for each zone. The risk level can intuitively reflect the degree of danger when a leakage accident occurs in different areas.

[0071] S102: Adjust the sample locations based on the risk level.

[0072] Based on the risk level, the number, location, and distribution of sample points should be dynamically adjusted, with an appropriate increase in sample point density within high-risk zones. When deploying testing equipment, priority should be given to areas prone to leaks, locations where gases tend to accumulate, and the boundaries of controlled areas.

[0073] In Example 3, Figure 2 The first sub-flowchart of the digital twin visualization pre-simulation method for hazardous chemical storage areas provided by an embodiment of the present invention is shown. The following details the steps of releasing test gas using test equipment pre-deployed within the control range and selecting several sample points from the control range:

[0074] S103: Update the test gas and sample points according to the preset frequency.

[0075] After each or multiple tests in the test scenario, the type of test gas or the location of the sample point should be adjusted.

[0076] S104: Record the adjustment process, extract key features, and write them into the preset template to generate a version.

[0077] The data of the test gas and sample points before and after each update are recorded, and the specific values ​​before and after the update are defined as key features. The key features are written into a preset template to generate a version, thereby realizing version management of the adjustment process.

[0078] For example, in the previous test scenario, the test gas was methanol tail gas. In this test scenario, the test gas can be adjusted to be waste gas incineration tail gas, with the key characteristics being methanol tail gas and waste gas incineration tail gas. By using different types of tail gas as test gases for gas diffusion verification, real-world leakage scenarios can be simulated under various component differences, enriching the diversity of sample data and enhancing the generalization ability of the digital twin model to complex operating conditions and leaks from different hazardous chemical storage tanks.

[0079] In Example 4, Figure 3 The second sub-flowchart of the digital twin visualization pre-simulation method for hazardous chemical storage areas provided in this embodiment of the invention is shown. The following details the step of selecting several observation time points according to a preset step size and drawing a risk heatmap of concentration data at those observation time points:

[0080] S201: Obtain attribute data of the hazardous chemical storage area, wherein the attribute data includes at least: hazardous chemical components and inventory quantity.

[0081] Determine the attribute data of the hazardous chemical storage area, including the composition, volume, and inventory of each hazardous chemical storage tank.

[0082] S202: Set the negative correlation between inventory level and preset step size.

[0083] Establish a negative correlation between inventory level and preset step size, that is, the larger the inventory level, the smaller the preset step size, so as to refine the detection granularity and capture early signals of hazardous chemical leaks or abnormal changes in a timely manner.

[0084] In Example 5, Figure 4 The third sub-flowchart of the digital twin visualization pre-simulation method for hazardous chemical storage areas provided in this embodiment of the invention is shown. The following details the steps for collecting the flow concentration of personnel in the field group during the exercise:

[0085] S301: Create a safe zone. When the flow concentration exceeds the safe zone, activate the pre-edited emergency response rules.

[0086] Based on the composition of each hazardous chemical storage tank, a safety zone is created. The safety zone is used to characterize the concentration range of the gas under normal conditions.

[0087] When the flow concentration collected in real time by the detection equipment falls within the safe range, routine detection continues. If the flow concentration is detected to exceed the set safe range, emergency response rules are triggered. Emergency response rules include: activating ventilation or spray devices, adjusting process parameters, and restricting personnel from entering relevant areas.

[0088] S302: Based on the signal strength and combined with the multi-angle positioning algorithm, determine the real-time location of each participant.

[0089] After collecting the Bluetooth signal from the Bluetooth device carried by each participant, the real-time location of each participant is determined using existing multi-angle positioning algorithms.

[0090] In Example 6, Figure 5 The fourth sub-flowchart of the digital twin visualization pre-simulation method for hazardous chemical storage areas provided in this embodiment of the invention is shown. The following details the steps of synchronizing real-time location to the digital twin model, activating virtual groups, performing visualization pre-simulation on the digital twin model, and obtaining pre-simulation feedback:

[0091] S401: Acquire multi-source data within the control range, wherein the multi-source data includes at least: meteorological data, temperature and humidity.

[0092] Using sensors pre-deployed within the control area, multi-source data is collected within the control area, including meteorological data, temperature, and humidity.

[0093] S402: Create a gas diffusion model, label the concentration data and flow concentration, generate a training set, and train the gas diffusion model.

[0094] By utilizing deep learning algorithms, a gas diffusion model is constructed. The concentration and flow concentration data collected by the managers of hazardous chemical storage tanks are uniformly labeled to clarify the corresponding time information, spatial location, environmental conditions, and diffusion characteristics, etc., to generate a training set. The training set is then input into the gas diffusion model for training. Through continuous iteration and parameter optimization, the gas diffusion model can accurately learn the diffusion law and evolution trend of gas in the storage area, thereby cross-validating the pre-simulation feedback of the digital twin model.

[0095] Figure 6 This diagram illustrates the structural composition of a digital twin visualization pre-simulation system for hazardous chemical storage areas provided in an embodiment of the present invention. The digital twin visualization pre-simulation system 1 for hazardous chemical storage areas includes:

[0096] The delineation module 11 is used to delineate the control range of the hazardous chemical storage area, construct the test scenario, release the test gas using the test equipment pre-deployed in the control range, select several sample points from the control range, and collect the concentration data of the test gas through the detection equipment deployed at the sample points, wherein each sample point corresponds to a concentration data.

[0097] Training module 12 is used to plot a trend map with time as the horizontal axis and the concentration data at the corresponding time as the vertical axis, integrate the trend maps of all sample points to obtain a map set, locate the deployment location of the test equipment, establish a one-to-one correspondence between the deployment location and the map set, select several observation time points according to a preset step size, plot the risk heat map of the concentration data at the observation time points, render them sequentially, generate a visualization sequence, and perform parameter correction on the established digital twin model;

[0098] Module 13 is obtained for creating a rehearsal plan, which includes a virtual group and a field group. The flow concentration of the trainees in the field group is collected. The Bluetooth signals of the trainees are collected through multiple Bluetooth devices deployed within the control range. The trainees are located based on the signal strength to obtain their real-time positions.

[0099] The correction module 14 is used to synchronize the real-time location to the digital twin model, activate the virtual group, perform a visual pre-simulation of the digital twin model, obtain pre-simulation feedback, and use the flow concentration to correct the pre-simulation feedback.

[0100] Figure 7 This diagram illustrates the composition of the delineation module 11 in the digital twin visualization pre-simulation system for hazardous chemical storage areas provided in an embodiment of the present invention. The delineation module 11 includes:

[0101] The segmentation unit 111 is used to divide the control range into several partitions and set the risk level of each partition;

[0102] Adjustment unit 112 is used to adjust the sample points based on the risk level;

[0103] The update unit 113 is used to update the test gas and sample points according to a preset frequency;

[0104] Recording unit 114 is used to record the adjustment process, extract key features, and write them into a preset template to generate a version.

[0105] Figure 8 This diagram illustrates the structural composition of the training module 12 in the digital twin visualization pre-simulation system for hazardous chemical storage areas provided in an embodiment of the present invention. The training module 12 includes:

[0106] Acquisition unit 121 is used to acquire attribute data of hazardous chemical storage area, wherein the attribute data includes at least: hazardous chemical components and inventory quantity;

[0107] Setting unit 122 is used to set the negative correlation between inventory quantity and preset step size.

[0108] Figure 9 The diagram shows the structural composition of module 13 in the digital twin visualization pre-simulation system for hazardous chemical storage areas provided in this embodiment of the invention. Module 13 includes:

[0109] Create unit 131 to create a safe zone. When the flow concentration exceeds the safe zone, the pre-edited emergency response rules are activated.

[0110] The positioning unit 132 is used to determine the real-time location of each participant by means of the signal strength and in combination with a multi-angle positioning algorithm.

[0111] Figure 10 This diagram illustrates the structural composition of the correction module 14 in the digital twin visualization pre-simulation system for hazardous chemical storage areas provided in an embodiment of the present invention. The correction module 14 includes:

[0112] Acquisition unit 141 is used to acquire multi-source data within the control range, wherein the multi-source data includes at least: meteorological data, temperature and humidity;

[0113] The annotation unit 142 is used to create a gas diffusion model, annotate the concentration data and flow concentration, generate a training set, and train the gas diffusion model.

[0114] The delineation module 11 is mainly used to complete step S100, the training module 12 is mainly used to complete step S200, the acquisition module 13 is mainly used to complete step S300, and the correction module 14 is mainly used to complete step S400.

[0115] The segmentation unit 111 is mainly used to complete step S101, the adjustment unit 112 is mainly used to complete step S102, the update unit 113 is mainly used to complete step S103, and the recording unit 114 is mainly used to complete step S104.

[0116] The acquisition unit 121 is mainly used to complete step S201, and the setting unit 122 is mainly used to complete step S202.

[0117] The creation unit 131 is mainly used to complete step S301, and the positioning unit 132 is mainly used to complete step S302;

[0118] The acquisition unit 141 is mainly used to complete step S401, and the annotation unit 142 is mainly used to complete step S402.

[0119] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0120] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0121] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A digital twin visualization pre-simulation method for hazardous chemical storage areas, characterized in that, The method includes: The control area of ​​the hazardous chemical storage area is defined, a test scenario is constructed, test gas is released using test equipment pre-deployed within the control area, and several sample points are selected from the control area. The concentration data of the test gas is collected by the detection equipment deployed at the sample points, with each sample point corresponding to a concentration data. Using time as the horizontal axis and the concentration data at the corresponding time as the vertical axis, a trend map is plotted. The trend maps of all sample points are integrated to obtain an atlas. The deployment location of the testing equipment is located, and a one-to-one correspondence between the deployment location and the atlas is established. According to the preset step size, several observation time points are selected, and a risk heat map of the concentration data at the observation time points is plotted and rendered sequentially to generate a visualization sequence. The parameters of the established digital twin model are then corrected. Create a rehearsal plan, which includes a virtual group and a field group. Collect the flow concentration of the trainees in the field group. Collect the Bluetooth signals of the trainees through multiple Bluetooth receivers deployed within the control range. Based on the signal strength, locate the trainees and obtain their real-time positions. The real-time location is synchronized to the digital twin model, the virtual group is activated, the digital twin model is visualized and pre-simulated, the pre-simulation feedback is obtained, and the pre-simulation feedback is corrected using the flow concentration.

2. The digital twin visualization pre-simulation method for hazardous chemical storage areas according to claim 1, characterized in that, The steps of defining the control area of ​​the hazardous chemical storage area, constructing the test scenario, and releasing the test gas using test equipment pre-deployed within the control area include: The control area is divided into several partitions, and a risk level is set for each partition; The sample locations are adjusted based on the risk level.

3. The digital twin visualization pre-simulation method for hazardous chemical storage areas according to claim 2, characterized in that, The step of releasing test gas using test equipment pre-deployed within the control range and selecting several sample points from the control range includes: The test gas and sample locations are updated according to a preset frequency; Record the adjustment process, extract key features, and write them into a preset template to generate a version.

4. The digital twin visualization pre-simulation method for hazardous chemical storage areas according to claim 1, characterized in that, The step of selecting several observation time points according to a preset step size and drawing a risk heatmap of concentration data at those observation time points includes: Acquire attribute data of the hazardous chemical storage area, wherein the attribute data includes at least: hazardous chemical components and inventory quantity; Set a negative correlation between inventory level and preset step size.

5. The digital twin visualization pre-simulation method for hazardous chemical storage areas according to claim 3, characterized in that, The steps for collecting the flow concentration in the field group by the personnel in the exercise include: Create a safe zone; when the flow concentration exceeds the safe zone, activate the pre-edited emergency response rules. Based on the signal strength and combined with a multi-angle positioning algorithm, the real-time location of each participant is determined.

6. The digital twin visualization pre-simulation method for hazardous chemical storage areas according to claim 5, characterized in that, The steps of synchronizing real-time location to the digital twin model, activating the virtual group, performing a visual pre-play of the digital twin model, and obtaining pre-play feedback include: Acquire multi-source data within the control range, wherein the multi-source data includes at least: meteorological data, temperature, and humidity; A gas diffusion model is created, the concentration data and flow concentration are labeled, a training set is generated, and the gas diffusion model is trained.

7. A digital twin visualization pre-simulation system for hazardous chemical storage areas, characterized in that, The system includes: The delineation module is used to delineate the control area of ​​the hazardous chemical storage area, construct the test scenario, release the test gas using the test equipment pre-deployed in the control area, select several sample points from the control area, and collect the concentration data of the test gas through the detection equipment deployed at the sample points, where each sample point corresponds to a concentration data. The training module is used to plot a trend map with time as the horizontal axis and the concentration data at the corresponding time as the vertical axis. It integrates the trend maps of all sample points to obtain a map set, locates the deployment location of the test equipment, establishes a one-to-one correspondence between the deployment location and the map set, selects several observation time points according to a preset step size, plots a risk heat map of the concentration data at the observation time points, renders them sequentially, generates a visualization sequence, and performs parameter correction on the established digital twin model. The module is used to create a rehearsal plan, which includes a virtual group and a field group. The flow concentration of the trainees in the field group is collected. The Bluetooth signals of the trainees are collected through multiple Bluetooth receivers deployed within the control range. Based on the signal strength, the trainees are located to obtain their real-time positions. The calibration module is used to synchronize the real-time location to the digital twin model, activate the virtual group, perform a visual pre-simulation of the digital twin model, obtain pre-simulation feedback, and use the flow concentration to calibrate the pre-simulation feedback.

8. The digital twin visualization pre-simulation system for hazardous chemical storage areas according to claim 7, characterized in that, The delineation module includes: A segmentation unit is used to divide the control range into several partitions and set the risk level for each partition; An adjustment unit is used to adjust the sample points based on the risk level. The update unit is used to update the test gas and sample points according to a preset frequency; The recording unit is used to record the adjustment process, extract key features, and write them into a preset template to generate a version.

9. The digital twin visualization pre-simulation system for hazardous chemical storage areas according to claim 7, characterized in that, The training module includes: An acquisition unit is used to acquire attribute data of a hazardous chemical storage area, wherein the attribute data includes at least: hazardous chemical components and inventory quantity; The setting unit is used to set the negative correlation between inventory quantity and preset step size.

10. The digital twin visualization pre-simulation system for hazardous chemical storage areas according to claim 8, characterized in that, The obtained module includes: Create a unit to create a safe zone. When the flow concentration exceeds the safe zone, activate the pre-edited emergency response rules. The positioning unit is used to determine the real-time location of each participant by means of the signal strength and a multi-angle positioning algorithm.

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