Data twinborn early warning system and method for dangerous goods storage area

Abstract

The invention relates to the technical field of dangerous goods storage, and discloses a data twinborn early warning system and method for a dangerous goods storage area. The model establishing module is configured to establish a data twinborn model of the storage area according to the image information; the acquisition module is configured to acquire the environment information and the dangerous goods information of the storage area and display the information on the data twinborn model; the environment evaluation module is configured to obtain an environment evaluation value according to the temperature information and the humidity information and adjust the environment evaluation value according to the change value amplitude; the dangerous goods evaluation module is configured to obtain a dangerous goods evaluation value according to the complete state of the dangerous goods and adjust the dangerous goods evaluation value according to the gas leakage information; and the early warning module is configured to judge the early warning level of the storage area according to the comprehensive evaluation value and perform early warning. Storage of dangerous goods is monitored in multiple aspects, and the safety of storage materials is effectively evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of hazardous goods storage, and in particular to a data twin early warning system and method for hazardous goods storage areas. Background Art

[0002] In modern industrial and laboratory environments, the storage and management of hazardous materials are crucial. Hazardous materials generally refer to substances that may cause harm to human health, the environment or property, including but not limited to chemicals, radioactive materials and flammable and explosive materials. The characteristics of these substances determine their safety management requirements during storage and transportation. In order to ensure safety, enterprises and institutions must strictly follow relevant regulations and standards. With the acceleration of industrialization, the safety issues of hazardous materials storage have become increasingly prominent. Accidents will not only cause property losses, but also casualties and environmental pollution. Therefore, it is imperative to develop an effective monitoring and early warning system. The emergence of data twin technology provides a new solution for the safety management of hazardous materials storage areas. Data twin refers to the real-time reflection of the status and behavior of physical entities through digital models. This technology can monitor environmental parameters in the storage area in real time, such as temperature, humidity, gas leakage, etc., and combine image information to form a comprehensive safety monitoring system.

[0003] Existing hazardous materials storage monitoring systems mostly use a single monitoring method and lack the ability to comprehensively evaluate environmental changes. They often fail to identify potential risks in a timely and accurate manner, leading to accidents. In addition, existing technologies are insufficient to monitor the complete status of hazardous materials and cannot effectively evaluate the safety of stored materials.

[0004] Therefore, it is necessary to provide a data twin early warning system and method for hazardous materials storage areas to solve the problem that the existing technology has a single monitoring of hazardous materials storage and cannot effectively evaluate the safety of stored materials. Summary of the invention

[0005] In view of this, the present invention proposes a data twin early warning system and method for hazardous materials storage areas, aiming to solve the problem that the existing technology has a single monitoring of hazardous materials storage and cannot effectively evaluate the safety of stored materials.

[0006] On the one hand, the present invention proposes a data twin early warning system for a hazardous goods storage area, comprising:

[0007] A sensor assembly, including an image collector, a temperature sensor, a humidity sensor and a gas detector, wherein the sensor assembly is arranged in the storage area;

[0008] a model building module, configured to collect image information of a storage area and build a data twin model of the storage area according to the image information;

[0009] A collection module is configured to collect environmental information and dangerous goods information of the storage area and display them on the data twin model; wherein the environmental information includes temperature information, humidity information and gas leakage information; and the dangerous goods information includes the complete status of the dangerous goods;

[0010] an environmental assessment module, configured to obtain an environmental assessment value according to the temperature information and the humidity information, determine whether to adjust the environmental assessment value according to the change value of the temperature information and the humidity information, and if it is determined that adjustment is required, adjust the environmental assessment value according to the change value amplitude;

[0011] a hazardous goods assessment module, configured to obtain a hazardous goods assessment value according to the integrity status of the hazardous goods, and to determine whether to adjust the hazardous goods assessment value according to the gas leakage information, and if it is determined to be adjusted, adjust the hazardous goods assessment value according to the gas leakage information;

[0012] The early warning module is configured to obtain a comprehensive evaluation value according to the adjusted environmental evaluation value and the adjusted dangerous goods evaluation value, determine the early warning level of the storage area according to the comprehensive evaluation value, and issue an early warning.

[0013] Furthermore, the model building module is configured to collect image information of the storage area, and to build a data twin model of the storage area according to the image information, including:

[0014] The image of the storage area is captured by an image collector to obtain visual data of the storage environment;

[0015] Process the acquired images, including denoising, enhancement and feature extraction;

[0016] Based on the processed image data, a three-dimensional digital twin model of the storage area is constructed to accurately reflect the storage location and spatial relationship of the items.

[0017] Further, when the environment assessment module is configured to obtain an environment assessment value according to the temperature information and the humidity information, it includes:

[0018] Set a maximum temperature, a maximum humidity, a standard environment evaluation value, a first evaluation value, and a second evaluation value, wherein the standard environment evaluation value is greater than the first evaluation value, and the first evaluation value is greater than the second evaluation value;

[0019] If the temperature information is less than or equal to the maximum temperature, and the humidity information is less than or equal to the maximum humidity, the environmental assessment value is the standard environmental assessment value;

[0020] If the temperature information is greater than the maximum temperature value, and the humidity information is less than or equal to the maximum humidity value, then the environmental assessment value is the first assessment value;

[0021] If the temperature information is less than or equal to the maximum temperature value, and the humidity information is greater than the maximum humidity value, then the environmental assessment value is the first assessment value;

[0022] If the temperature information is greater than the maximum temperature value, and the humidity information is greater than the maximum humidity value, the environmental assessment value is a second assessment value.

[0023] Further, when the environment assessment module is configured to determine whether to adjust the environment assessment value according to the change value of the temperature information and the humidity information, it includes:

[0024] Set the maximum temperature rise and humidity rise per unit time;

[0025] If the increase value of the temperature information per unit time is greater than or equal to the maximum temperature increase value, it is determined that the environmental assessment value needs to be adjusted;

[0026] If the increase value of the humidity information within a unit time is greater than or equal to the maximum humidity increase value, it is determined that the environmental assessment value needs to be adjusted;

[0027] Otherwise, it is determined that the environmental assessment value will not be adjusted.

[0028] Further, the environmental assessment module is configured to adjust the environmental assessment value according to the change value amplitude if it is determined that adjustment is needed, including:

[0029] Calculate the temperature increase difference between the temperature increase value and the maximum temperature increase value and the humidity increase difference between the humidity increase value and the maximum humidity increase value;

[0030] The environmental assessment value is adjusted according to the temperature increase difference and the humidity increase difference by the following formula:

[0031] H = H0 - W*aS*b;

[0032] In the above formula, H represents the environmental assessment value after adjustment, H0 represents the environmental assessment value before adjustment, W represents the temperature increase difference, S represents the humidity increase difference, a represents the temperature adjustment coefficient, b represents the humidity adjustment coefficient, and the value range of a and b are both 0-1.

[0033] Furthermore, when the dangerous goods assessment module is configured to obtain a dangerous goods assessment value according to the complete state of the dangerous goods, it includes:

[0034] Set a standard assessment value for dangerous goods, a first assessment value for dangerous goods, a second assessment value for dangerous goods, and a maximum value for the damaged area, collect image information of the dangerous goods, and determine whether the dangerous goods remain intact based on the image information. If the dangerous goods remain intact, the assessment value of the dangerous goods is the standard assessment value for dangerous goods; wherein the first assessment value for dangerous goods is greater than the second assessment value for dangerous goods;

[0035] If the dangerous goods are damaged, the total damaged area is obtained. If the total damaged area is less than the maximum damaged area, the dangerous goods assessment value is the first dangerous goods assessment value; if the total damaged area is greater than or equal to the maximum damaged area, the dangerous goods assessment value is the second dangerous goods assessment value.

[0036] Furthermore, the hazardous material assessment module is configured to determine whether to adjust the hazardous material assessment value according to the gas leakage information, including:

[0037] Detecting whether there is any dangerous gas leakage in the storage area by means of a gas detector, and if so, determining that the dangerous goods assessment value needs to be adjusted;

[0038] If there is no leakage of hazardous gas in the storage area, the hazardous material assessment value is not adjusted.

[0039] Further, the hazardous goods assessment module is configured to adjust the hazardous goods assessment value according to the gas leakage information if it is determined to be adjusted, including:

[0040] Collecting the concentration change value of the dangerous gas per unit time, and adjusting the dangerous goods assessment value according to the concentration change value;

[0041] Setting a first change value and a second change value, comparing the concentration change value with the first change value and the second change value, and determining an adjustment coefficient according to the comparison result to adjust the dangerous goods assessment value; wherein the first change value is smaller than the second change value;

[0042] When the concentration change value is less than or equal to the first change value, determining a first adjustment coefficient to adjust the dangerous goods assessment value;

[0043] When the concentration change value is greater than the first change value and less than or equal to the second change value, determining a second adjustment coefficient to adjust the dangerous goods assessment value;

[0044] When the concentration change value is greater than the second change value, determining a third adjustment coefficient to adjust the dangerous goods assessment value;

[0045] The first adjustment coefficient is smaller than the second adjustment coefficient, and the second adjustment coefficient is smaller than the third adjustment coefficient.

[0046] Further, the early warning module is configured to obtain a comprehensive evaluation value according to the adjusted environmental evaluation value and the adjusted dangerous goods evaluation value, and to determine the early warning level of the storage area according to the comprehensive evaluation value and issue an early warning, including:

[0047] The comprehensive evaluation value is calculated according to the following formula:

[0048] Comprehensive evaluation value = α*H+β*A;

[0049] In the above formula, α represents the weight coefficient of the environmental assessment value, H represents the adjusted environmental assessment value, β represents the weight coefficient of the hazardous materials assessment value, and A represents the adjusted hazardous materials assessment value;

[0050] Setting a first comprehensive value and a second comprehensive value; wherein the first comprehensive value is greater than the second comprehensive value;

[0051] If the comprehensive evaluation value is greater than or equal to the first comprehensive value, the warning level is level one warning;

[0052] If the comprehensive evaluation value is less than the first comprehensive value and greater than or equal to the second comprehensive value, the warning level is level 2 warning;

[0053] If the comprehensive evaluation value is less than the second comprehensive value, the warning level is level three warning;

[0054] Among them, the warning levels from low to high are level one warning, level two warning and level three warning.

[0055] Compared with the prior art, the beneficial effects of the present invention are as follows: First, by integrating a variety of sensor components, the system can monitor the changes in the storage environment in real time to ensure rapid identification of potential risks. This real-time monitoring not only improves the response speed to environmental changes, but also enables timely measures to reduce the possibility of accidents. Secondly, the model building module constructs a data twin model through image information, so that managers can intuitively grasp the actual status of the storage area and enhance their understanding and analysis capabilities of the storage environment. In addition, the mutual cooperation between the environmental assessment module and the hazardous materials assessment module can dynamically adjust the assessment value and provide a more accurate risk assessment. This flexibility enables the system to adapt to different environmental conditions and enhances the reliability of early warning. Finally, the early warning module determines the early warning level through the comprehensive assessment value, realizes intelligent safety management, reduces the need for human intervention, and thus improves the overall safety and efficiency. Through these advantages, the system provides scientific, comprehensive and efficient safety protection for hazardous materials storage.

[0056] On the other hand, the present application also provides a data twin early warning method for a hazardous goods storage area, comprising:

[0057] positioning the sensor assembly within the storage area;

[0058] Collecting image information of a storage area, and establishing a data twin model of the storage area according to the image information;

[0059] Collecting environmental information and hazardous materials information of the storage area and displaying them on the data twin model; wherein the environmental information includes temperature information, humidity information and gas leakage information; and the hazardous materials information includes the complete status of the hazardous materials;

[0060] Obtaining an environmental assessment value according to the temperature information and the humidity information, judging whether to adjust the environmental assessment value according to the change value of the temperature information and the humidity information, and if it is judged that adjustment is required, adjusting the environmental assessment value according to the change value amplitude;

[0061] Obtaining a dangerous goods assessment value according to the complete state of the dangerous goods, and judging whether to adjust the dangerous goods assessment value according to the gas leakage information, and if it is judged to be adjusted, adjusting the dangerous goods assessment value according to the gas leakage information;

[0062] A comprehensive evaluation value is obtained according to the adjusted environmental evaluation value and the adjusted dangerous goods evaluation value, and the warning level of the storage area is determined according to the comprehensive evaluation value and a warning is issued.

[0063] It can be understood that the data twin warning system and method for hazardous materials storage areas provided in the present application have the same beneficial effects and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0065] Figure 1 A functional block diagram of a data twin early warning system for a hazardous goods storage area provided by an embodiment of the present invention;

[0066] Figure 2 A flowchart of a data twin warning method for a hazardous goods storage area provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0067] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to be able to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0068] In some embodiments of the present application, see Figure 1 As shown, this embodiment provides a data twin warning system for a hazardous goods storage area, including:

[0069] A sensor assembly, including an image collector, a temperature sensor, a humidity sensor and a gas detector, wherein the sensor assembly is arranged in the storage area;

[0070] A model building module is configured to collect image information of the storage area and build a data twin model of the storage area according to the image information;

[0071] A collection module is configured to collect environmental information and hazardous materials information of the storage area and display them on the data twin model; wherein the environmental information includes temperature information, humidity information and gas leakage information; the hazardous materials information includes the complete status of the hazardous materials;

[0072] The environment assessment module is configured to obtain an environment assessment value according to the temperature information and the humidity information, determine whether to adjust the environment assessment value according to the change value of the temperature information and the humidity information, and if it is determined that adjustment is required, adjust the environment assessment value according to the change value amplitude;

[0073] a hazardous material assessment module configured to obtain a hazardous material assessment value according to the complete state of the hazardous material, and to determine whether to adjust the hazardous material assessment value according to the gas leakage information, and if so, to adjust the hazardous material assessment value according to the gas leakage information;

[0074] The early warning module is configured to obtain a comprehensive evaluation value according to the adjusted environmental evaluation value and the adjusted dangerous goods evaluation value, determine the early warning level of the storage area according to the comprehensive evaluation value, and issue an early warning.

[0075] It can be understood that, firstly, by integrating a variety of sensor components, the system of the present invention can monitor the changes in the storage environment in real time to ensure the rapid identification of potential risks. This real-time monitoring not only improves the response speed to environmental changes, but also enables timely measures to reduce the possibility of accidents. Secondly, the model building module constructs a data twin model through image information, so that managers can intuitively grasp the actual status of the storage area and enhance their understanding and analysis capabilities of the storage environment. In addition, the mutual cooperation between the environmental assessment module and the hazardous materials assessment module can dynamically adjust the assessment value and provide a more accurate risk assessment. This flexibility enables the system to adapt to different environmental conditions and enhances the reliability of early warning. Finally, the early warning module determines the early warning level through the comprehensive assessment value, realizes intelligent safety management, reduces the need for human intervention, and thus improves the overall safety and efficiency. Through these advantages, the system provides scientific, comprehensive and efficient safety protection for the storage of hazardous materials.

[0076] In some embodiments of the present application, the model building module is configured to collect image information of the storage area, and to build a data twin model of the storage area according to the image information, including:

[0077] The image of the storage area is captured by an image collector to obtain visual data of the storage environment;

[0078] Process the acquired images, including denoising, enhancement and feature extraction;

[0079] Based on the processed image data, a three-dimensional digital twin model of the storage area is constructed to accurately reflect the storage location and spatial relationship of the items.

[0080] It can be understood that the visual data obtained by the image collector of the present invention provides a true reflection of the storage environment, so that managers can intuitively understand the placement and storage conditions of items. Secondly, the denoising, enhancement and feature extraction processing of the collected images ensures the accuracy and reliability of the data, thereby reducing the possibility of misjudgment and omissions. In addition, the three-dimensional digital twin model constructed based on the processed image data can accurately reflect the storage location and spatial relationship of the items, help managers optimize the spatial layout and improve storage efficiency. Through this visualization and digitalization method, the system not only improves the level of intelligence of storage management, but also provides strong technical support for the safety monitoring of dangerous goods, further enhancing the safety and management efficiency of the storage area.

[0081] In some embodiments of the present application, when the environment assessment module is configured to obtain an environment assessment value according to temperature information and humidity information, it includes:

[0082] Set a maximum temperature, a maximum humidity, a standard environment evaluation value, a first evaluation value, and a second evaluation value, wherein the standard environment evaluation value is greater than the first evaluation value, and the first evaluation value is greater than the second evaluation value;

[0083] If the temperature information is less than or equal to the maximum temperature, and the humidity information is less than or equal to the maximum humidity, the environmental assessment value is the standard environmental assessment value;

[0084] If the temperature information is greater than the maximum temperature value, and the humidity information is less than or equal to the maximum humidity value, the environmental assessment value is the first assessment value;

[0085] If the temperature information is less than or equal to the maximum temperature, and the humidity information is greater than the maximum humidity, the environmental assessment value is the first assessment value;

[0086] If the temperature information is greater than the maximum temperature value, and the humidity information is greater than the maximum humidity value, the environmental evaluation value is the second evaluation value.

[0087] In some embodiments of the present application, when the environment assessment module is configured to determine whether to adjust the environment assessment value according to the change value of the temperature information and the humidity information, it includes:

[0088] Set the maximum temperature rise and humidity rise per unit time;

[0089] If the increase in temperature information per unit time is greater than or equal to the maximum temperature increase, it is determined that the environmental assessment value needs to be adjusted;

[0090] If the increase in humidity information per unit time is greater than or equal to the maximum humidity increase, it is determined that the environmental assessment value needs to be adjusted;

[0091] Otherwise, no adjustment will be made to the environmental assessment value.

[0092] In some embodiments of the present application, the environment assessment module is configured to adjust the environment assessment value according to the magnitude of the change value if it is determined that adjustment is required, including:

[0093] Calculate the temperature increase difference between the temperature increase value and the maximum temperature increase value and the humidity increase difference between the humidity increase value and the maximum humidity increase value;

[0094] The environmental assessment value is adjusted according to the temperature rise difference and humidity rise difference using the following formula:

[0095] H = H0 - W*aS*b;

[0096] In the above formula, H represents the environmental assessment value after adjustment, H0 represents the environmental assessment value before adjustment, W represents the temperature increase difference, S represents the humidity increase difference, a represents the temperature adjustment coefficient, b represents the humidity adjustment coefficient, and the value range of a and b are both 0-1.

[0097] It is understandable that, by setting the maximum values ​​and standard evaluation values ​​of temperature and humidity, the system of the present invention can clearly define the safe range of environmental parameters to ensure that the optimal storage environment is maintained under normal conditions. When the temperature or humidity exceeds the set range, the system can respond quickly and reduce the environmental evaluation value to promptly reflect potential risks. In addition, the module's monitoring and evaluation of temperature and humidity changes, combined with the increase threshold per unit time, effectively captures environmental dynamics and reduces the lag of potential safety hazards. By adjusting the environmental evaluation value based on the formula of temperature increase difference and humidity increase difference, the system achieves precise control of environmental changes and ensures the accuracy and real-time nature of the evaluation value. Overall, this intelligent evaluation and adjustment mechanism not only improves the safety of hazardous materials storage management, but also provides a scientific basis for managers, which helps to formulate more reasonable response measures.

[0098] In some embodiments of the present application, when the dangerous goods assessment module is configured to obtain a dangerous goods assessment value according to the complete state of the dangerous goods, it includes:

[0099] Set the standard assessment value of dangerous goods, the first assessment value of dangerous goods, the second assessment value of dangerous goods and the maximum value of the damaged area, collect image information of the dangerous goods, and judge whether the dangerous goods are intact according to the image information. If they are intact, the assessment value of the dangerous goods is the standard assessment value of dangerous goods; wherein the first assessment value of dangerous goods is greater than the second assessment value of dangerous goods;

[0100] If the dangerous goods are damaged, the total damaged area is obtained. If the total damaged area is less than the maximum damaged area, the dangerous goods assessment value is the first dangerous goods assessment value; if the total damaged area is greater than or equal to the maximum damaged area, the dangerous goods assessment value is the second dangerous goods assessment value.

[0101] In some embodiments of the present application, the hazardous material assessment module is configured to determine whether to adjust the hazardous material assessment value according to the gas leakage information, including:

[0102] Use gas detectors to detect whether there is any dangerous gas leakage in the storage area. If so, it is determined that the dangerous goods assessment value needs to be adjusted;

[0103] If there is no hazardous gas leak in the storage area, no adjustment will be made to the hazardous materials assessment value.

[0104] In some embodiments of the present application, the hazardous material assessment module is configured to adjust the hazardous material assessment value according to the gas leakage information if it is determined to be adjusted, including:

[0105] Collect the concentration change value of dangerous gases per unit time, and adjust the dangerous goods assessment value according to the concentration change value;

[0106] Setting a first change value and a second change value, comparing the concentration change value with the first change value and the second change value, and determining an adjustment coefficient according to the comparison result to adjust the dangerous goods assessment value; wherein the first change value is less than the second change value;

[0107] When the concentration change value is less than or equal to the first change value, determining a first adjustment coefficient to adjust the dangerous goods assessment value;

[0108] When the concentration change value is greater than the first change value and less than or equal to the second change value, a second adjustment coefficient is determined to adjust the dangerous goods assessment value;

[0109] When the concentration change value is greater than the second change value, a third adjustment coefficient is determined to adjust the dangerous goods assessment value;

[0110] The first adjustment coefficient is smaller than the second adjustment coefficient, and the second adjustment coefficient is smaller than the third adjustment coefficient.

[0111] It is understandable that the integrity of dangerous goods is judged by image information, ensuring that the assessment value is the standard value under normal circumstances, thereby providing managers with a clear safety reference. When damage is found, the module can quickly identify the degree of risk and adjust the assessment value accordingly by monitoring the damaged area, effectively preventing the spread of potential dangers. In addition, real-time monitoring of gas leakage information further enhances the accuracy of the assessment, ensuring that the assessment value of dangerous goods is adjusted in time in the event of a gas leak. By setting multiple thresholds for concentration changes, it is possible to accurately identify different degrees of leakage risks, and flexibly adjust them according to the adjustment coefficient to ensure the scientificity and timeliness of the assessment value. Overall, this multi-level and dynamic assessment mechanism provides a solid guarantee for the safety management of dangerous goods, helping managers to take timely countermeasures and reduce the risk of accidents.

[0112] In some embodiments of the present application, the early warning module is configured to obtain a comprehensive evaluation value based on the adjusted environmental evaluation value and the adjusted dangerous goods evaluation value, and to determine the early warning level of the storage area and issue an early warning based on the comprehensive evaluation value, including:

[0113] The comprehensive evaluation value is calculated according to the following formula:

[0114] Comprehensive evaluation value = α*H+β*A;

[0115] In the above formula, α represents the weight coefficient of the environmental assessment value, H represents the adjusted environmental assessment value, β represents the weight coefficient of the hazardous materials assessment value, and A represents the adjusted hazardous materials assessment value;

[0116] Setting a first comprehensive value and a second comprehensive value; wherein the first comprehensive value is greater than the second comprehensive value;

[0117] If the comprehensive evaluation value is greater than or equal to the first comprehensive value, the warning level is level one;

[0118] If the comprehensive evaluation value is less than the first comprehensive value and greater than or equal to the second comprehensive value, the warning level is level 2 warning;

[0119] If the comprehensive evaluation value is less than the second comprehensive value, the warning level is level three warning;

[0120] Among them, the warning levels from low to high are level one warning, level two warning and level three warning.

[0121] It is understandable that the weight coefficients of the environmental assessment value and the hazardous materials assessment value can reasonably reflect the importance of each, making the comprehensive assessment value more representative. This weighted calculation method ensures that the system can dynamically adjust its sensitivity to risks under different environmental conditions. When the comprehensive assessment value exceeds the set first and second comprehensive values, the early warning module can issue an early warning of the corresponding level in a timely manner, thereby providing managers with clear action guidance. By dividing the early warning levels into primary, secondary and tertiary levels, the system can refine risk management, help decision makers take corresponding measures when facing different degrees of risk, and enhance overall safety. This multi-level early warning mechanism not only improves the response speed to potential dangers, but also provides strong support for the safe management of hazardous materials, ensuring the safety of personnel and the environment.

[0122] On the other hand, see Figure 2 As shown, the present application also provides a data twin early warning method for a hazardous goods storage area, which is applied to the above-mentioned data twin early warning system for a hazardous goods storage area, and includes the following steps:

[0123] S100, placing the sensor assembly in a storage area;

[0124] S200, collecting image information of the storage area, and establishing a data twin model of the storage area according to the image information;

[0125] S300, collecting environmental information and dangerous goods information of the storage area and displaying them on the data twin model; wherein the environmental information includes temperature information, humidity information and gas leakage information; the dangerous goods information includes the complete status of the dangerous goods;

[0126] S400, obtaining an environmental assessment value according to the temperature information and the humidity information, judging whether to adjust the environmental assessment value according to the change value of the temperature information and the humidity information, and if it is judged that adjustment is required, adjusting the environmental assessment value according to the change value amplitude;

[0127] S500, obtaining a dangerous goods assessment value according to the complete state of the dangerous goods, and judging whether to adjust the dangerous goods assessment value according to the gas leakage information, and if it is judged to be adjusted, adjusting the dangerous goods assessment value according to the gas leakage information;

[0128] S600: Obtain a comprehensive assessment value based on the adjusted environmental assessment value and the adjusted hazardous materials assessment value, determine the warning level of the storage area based on the comprehensive assessment value, and issue a warning.

[0129] It can be understood that the present invention establishes a data twin model by setting up sensor components and collecting image information, so that managers can intuitively understand the storage environment and the status of items, which provides a reliable basis for real-time monitoring and management. Secondly, by continuously collecting environmental information and the complete status of dangerous goods, the safety of the storage area can be dynamically evaluated. When environmental conditions or the status of dangerous goods change, the assessment value is automatically judged and adjusted to ensure the accuracy of risk assessment. In addition, the calculation of the comprehensive assessment value and the judgment of the warning level enable managers to obtain risk information in a timely manner, take corresponding measures, and effectively prevent accidents. Overall, this method not only enhances the real-time monitoring capability of dangerous goods storage areas, but also improves the timeliness of emergency response, providing strong technical support for safe production.

[0130] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0131] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0132] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0133] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0134] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A data twin early warning system for hazardous materials storage areas, characterized in that: include: A sensor assembly, including an image collector, a temperature sensor, a humidity sensor and a gas detector, wherein the sensor assembly is arranged in the storage area; a model building module, configured to collect image information of a storage area and build a data twin model of the storage area according to the image information; A collection module is configured to collect environmental information and dangerous goods information of the storage area and display them on the data twin model; wherein the environmental information includes temperature information, humidity information and gas leakage information; and the dangerous goods information includes the complete status of the dangerous goods; an environmental assessment module, configured to obtain an environmental assessment value according to the temperature information and the humidity information, determine whether to adjust the environmental assessment value according to the change value of the temperature information and the humidity information, and if it is determined that adjustment is required, adjust the environmental assessment value according to the change value amplitude; a hazardous goods assessment module, configured to obtain a hazardous goods assessment value according to the integrity status of the hazardous goods, and to determine whether to adjust the hazardous goods assessment value according to the gas leakage information, and if it is determined to be adjusted, adjust the hazardous goods assessment value according to the gas leakage information; The early warning module is configured to obtain a comprehensive evaluation value according to the adjusted environmental evaluation value and the adjusted dangerous goods evaluation value, determine the early warning level of the storage area according to the comprehensive evaluation value, and issue an early warning.

2. The data twin early warning system for dangerous goods storage areas according to claim 1 is characterized in that: The model building module is configured to collect image information of the storage area, and to build a data twin model of the storage area according to the image information, including: The image of the storage area is captured by an image collector to obtain visual data of the storage environment; Process the acquired images, including denoising, enhancement and feature extraction; Based on the processed image data, a three-dimensional digital twin model of the storage area is constructed to accurately reflect the storage location and spatial relationship of the items.

3. The data twin early warning system for dangerous goods storage areas according to claim 2 is characterized in that: When the environment assessment module is configured to obtain an environment assessment value according to the temperature information and the humidity information, it includes: Set a maximum temperature, a maximum humidity, a standard environment evaluation value, a first evaluation value, and a second evaluation value, wherein the standard environment evaluation value is greater than the first evaluation value, and the first evaluation value is greater than the second evaluation value; If the temperature information is less than or equal to the maximum temperature, and the humidity information is less than or equal to the maximum humidity, the environmental assessment value is the standard environmental assessment value; If the temperature information is greater than the maximum temperature value, and the humidity information is less than or equal to the maximum humidity value, then the environmental assessment value is the first assessment value; If the temperature information is less than or equal to the maximum temperature value, and the humidity information is greater than the maximum humidity value, then the environmental assessment value is the first assessment value; If the temperature information is greater than the maximum temperature value, and the humidity information is greater than the maximum humidity value, the environmental assessment value is a second assessment value.

4. The data twin early warning system for dangerous goods storage areas according to claim 3 is characterized in that: When the environment assessment module is configured to determine whether to adjust the environment assessment value according to the change values ​​of the temperature information and the humidity information, it includes: Set the maximum temperature rise and humidity rise per unit time; If the increase value of the temperature information per unit time is greater than or equal to the maximum temperature increase value, it is determined that the environmental assessment value needs to be adjusted; If the increase value of the humidity information within a unit time is greater than or equal to the maximum humidity increase value, it is determined that the environmental assessment value needs to be adjusted; Otherwise, it is determined that the environmental assessment value will not be adjusted.

5. The data twin early warning system for dangerous goods storage areas according to claim 4 is characterized in that: The environment assessment module is configured to adjust the environment assessment value according to the change value amplitude if it is determined that adjustment is needed, including: Calculate the temperature increase difference between the temperature increase value and the maximum temperature increase value and the humidity increase difference between the humidity increase value and the maximum humidity increase value; The environmental assessment value is adjusted according to the temperature increase difference and the humidity increase difference by the following formula: H = H0 - W*aS*b; In the above formula, H represents the environmental assessment value after adjustment, H0 represents the environmental assessment value before adjustment, W represents the temperature increase difference, S represents the humidity increase difference, a represents the temperature adjustment coefficient, b represents the humidity adjustment coefficient, and the value range of a and b are both 0-1.

6. The data twin early warning system for dangerous goods storage areas according to claim 5 is characterized in that: When the dangerous goods assessment module is configured to obtain a dangerous goods assessment value according to the complete state of the dangerous goods, it includes: Set a standard assessment value for dangerous goods, a first assessment value for dangerous goods, a second assessment value for dangerous goods, and a maximum value for the damaged area, collect image information of the dangerous goods, and determine whether the dangerous goods remain intact based on the image information. If the dangerous goods remain intact, the assessment value of the dangerous goods is the standard assessment value for dangerous goods; wherein the first assessment value for dangerous goods is greater than the second assessment value for dangerous goods; If the dangerous goods are damaged, the total damaged area is obtained. If the total damaged area is less than the maximum damaged area, the dangerous goods assessment value is the first dangerous goods assessment value; if the total damaged area is greater than or equal to the maximum damaged area, the dangerous goods assessment value is the second dangerous goods assessment value.

7. The data twin warning system for dangerous goods storage areas according to claim 6 is characterized in that: The hazardous material assessment module is configured to determine whether to adjust the hazardous material assessment value according to the gas leakage information, including: Detecting whether there is any dangerous gas leakage in the storage area by means of a gas detector, and if so, determining that the dangerous goods assessment value needs to be adjusted; If there is no leakage of hazardous gas in the storage area, the hazardous material assessment value is not adjusted.

8. The data twin early warning system for dangerous goods storage areas according to claim 7 is characterized in that: The hazardous material assessment module is configured to adjust the hazardous material assessment value according to the gas leakage information if it is determined that the adjustment is to be made, including: Collecting the concentration change value of the dangerous gas per unit time, and adjusting the dangerous goods assessment value according to the concentration change value; Setting a first change value and a second change value, comparing the concentration change value with the first change value and the second change value, and determining an adjustment coefficient according to the comparison result to adjust the dangerous goods assessment value; wherein the first change value is smaller than the second change value; When the concentration change value is less than or equal to the first change value, determining a first adjustment coefficient to adjust the dangerous goods assessment value; When the concentration change value is greater than the first change value and less than or equal to the second change value, determining a second adjustment coefficient to adjust the dangerous goods assessment value; When the concentration change value is greater than the second change value, determining a third adjustment coefficient to adjust the dangerous goods assessment value; The first adjustment coefficient is smaller than the second adjustment coefficient, and the second adjustment coefficient is smaller than the third adjustment coefficient.

9. The data twin early warning system for dangerous goods storage areas according to claim 8 is characterized in that: The early warning module is configured to obtain a comprehensive evaluation value according to the adjusted environmental evaluation value and the adjusted dangerous goods evaluation value, and to determine the early warning level of the storage area according to the comprehensive evaluation value and issue an early warning, including: The comprehensive evaluation value is calculated according to the following formula: Comprehensive evaluation value = α*H+β*A; In the above formula, α represents the weight coefficient of the environmental assessment value, H represents the adjusted environmental assessment value, β represents the weight coefficient of the hazardous materials assessment value, and A represents the adjusted hazardous materials assessment value; Setting a first comprehensive value and a second comprehensive value; wherein the first comprehensive value is greater than the second comprehensive value; If the comprehensive evaluation value is greater than or equal to the first comprehensive value, the warning level is level one warning; If the comprehensive evaluation value is less than the first comprehensive value and greater than or equal to the second comprehensive value, the warning level is level 2 warning; If the comprehensive evaluation value is less than the second comprehensive value, the warning level is level three warning; Among them, the warning levels from low to high are level one warning, level two warning and level three warning.

10. A data twin early warning method for a hazardous goods storage area, applied to the data twin early warning system for a hazardous goods storage area as claimed in any one of claims 1 to 9, characterized in that: include: positioning the sensor assembly within the storage area; Collecting image information of a storage area, and establishing a data twin model of the storage area according to the image information; Collecting environmental information and hazardous materials information of the storage area and displaying them on the data twin model; wherein the environmental information includes temperature information, humidity information and gas leakage information; and the hazardous materials information includes the complete status of the hazardous materials; Obtaining an environmental assessment value according to the temperature information and the humidity information, judging whether to adjust the environmental assessment value according to the change value of the temperature information and the humidity information, and if it is judged that adjustment is required, adjusting the environmental assessment value according to the change value amplitude; Obtaining a dangerous goods assessment value according to the complete state of the dangerous goods, and judging whether to adjust the dangerous goods assessment value according to the gas leakage information, and if it is judged to be adjusted, adjusting the dangerous goods assessment value according to the gas leakage information; A comprehensive evaluation value is obtained according to the adjusted environmental evaluation value and the adjusted dangerous goods evaluation value, and the warning level of the storage area is determined according to the comprehensive evaluation value and a warning is issued.

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