Intelligent hazardous chemical substance safety management method and device based on Internet of Things

Abstract

The invention relates to the technical field of hazardous chemical substance safety management, and particularly discloses an intelligent hazardous chemical substance safety management method and device based on the Internet of Things, and the method comprises the steps: S1, RFID tag embedding, S2, positioning base station arrangement, S3, data transmission of the Internet of Things, S4, three-dimensional positioning of hazardous chemical substances, and S5, risk assessment and early warning. Meanwhile, the RFID tag is integrated with the UWB; the method comprises the following steps: deploying four UWB positioning base stations to form a regular tetrahedron topology, wherein each UWB positioning base station comprises a reader-writer; based on the real-time data uploaded by the RFID tag corresponding to each hazardous chemical substance container, the background management system analyzes the three-dimensional coordinates of each hazardous chemical substance container; according to the method, the storage risk coefficient of each hazardous chemical substance container is evaluated, and when an abnormal condition is detected, the system automatically triggers early warning, so that the automation and intelligence level of management is improved, and the safety and efficiency of operation are ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of hazardous chemicals safety management, and relates to an intelligent hazardous chemicals safety management method and device based on the Internet of Things. Background Art

[0002] In modern industrial environments, the safety management and monitoring of hazardous chemicals is of vital importance and is directly related to production safety, environmental protection and public health. With the rapid development of industries such as chemicals and pharmaceuticals, the use and storage of hazardous chemicals are expanding, and the risk of accidents is increasing. Effective safety management and monitoring can grasp the storage status, flow path and environmental conditions of hazardous chemicals in real time, and promptly discover potential safety hazards, thereby preventing accidents. For example, regular safety inspections and monitoring can ensure the integrity of hazardous chemical storage facilities and avoid serious consequences such as leakage and explosion caused by aging equipment or improper operation. In addition, as countries have increasingly stringent regulations on the management of hazardous chemicals, companies must strengthen their safety monitoring systems to ensure compliance operations and reduce legal risks and economic losses. Therefore, the safety management and monitoring of hazardous chemicals is not only a reflection of corporate responsibility, but also an important guarantee for the sustainable development of society.

[0003] Although the current hazardous chemicals safety management and monitoring technology based on RFID tags has played an important role in improving item tracking and management efficiency, it still has some significant defects and disadvantages. First, RFID technology is easily interfered by metal objects and liquids during signal transmission, which is particularly common in hazardous chemicals storage environments and may cause signal attenuation or loss, thereby affecting the accuracy and real-time nature of the data. In addition, the reading distance of RFID tags is limited, especially in large storage environments, and multiple readers may be required to achieve full coverage, which increases the complexity and cost of the system; In addition, existing RFID systems generally lack high-precision support for spatial positioning, especially in the case of multi-layer stacking, it is difficult to accurately obtain the three-dimensional position of hazardous chemicals. This limitation makes it difficult to quickly locate specific hazardous chemical containers in an emergency, delaying the time of emergency response. In addition, RFID systems that are not integrated with UWB technology cannot utilize the high-precision positioning capabilities of UWB, resulting in the inability to achieve centimeter-level positioning accuracy and the inability to effectively respond to positioning needs in complex environments. Therefore, relying solely on RFID technology for hazardous chemical management cannot meet the high standards of modern industry for safety monitoring, and it is urgently needed to be combined with other advanced technologies to improve the overall safety management level. Summary of the invention

[0004] In view of the above problems existing in the prior art, the present invention provides an intelligent hazardous chemicals safety management method and device based on the Internet of Things, which is used to solve the above technical problems.

[0005] To achieve the above and other objects, the technical solution adopted by the present invention is as follows: On the one hand, the present invention provides an intelligent safety management method for hazardous chemicals based on the Internet of Things. The method includes the following steps: S1. RFID tag embedding: Embed intelligent RFID tags on each hazardous chemical container, and at the same time integrate the RFID tags with UWB; S2. Location base station layout: Deploy 4 UWB location base stations to form a regular tetrahedron topology, and each UWB location base station contains a reader; S3. Internet of Things data transmission: The RFID tags communicate with the background management system through the Internet of Things gateway. The gateway is responsible for collecting the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container and transmitting the data to the background management system through wireless communication; S4. Three-dimensional positioning of hazardous chemicals: Based on the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, the background management system analyzes the three-dimensional coordinates of each hazardous chemical container; S5. Risk assessment and early warning: The background management system evaluates the storage risk coefficient of each hazardous chemical container. When an abnormal situation is detected, the system automatically triggers an early warning and notifies relevant personnel to take measures through text messages, emails or the Internet of Things platform.

[0006] The intelligent RFID tag also integrates the following modules: An inclination sensor module for real-time monitoring of the inclination angle of each hazardous chemical container; A temperature and humidity sensor module for monitoring the temperature and humidity changes in the storage environment of each hazardous chemical container; A signal strength detection module for sensing the signal strength propagated by the RFID tag corresponding to each hazardous chemical container.

[0007] The real-time data uploaded by the RFID tag corresponding to each hazardous chemical container includes the inclination angle, storage temperature, storage humidity of each hazardous chemical container, and the signal strength indication value of the RFID tag corresponding to each hazardous chemical container for the reader in the corresponding UWB location base station.

[0008] Analyzing the three-dimensional coordinates of each hazardous chemical container, the specific analysis process includes: Obtain the three-dimensional coordinates of each reader , where f is the number of the reader corresponding to each UWB location base station, f = 1, 2, 3 or 4; Import the three-dimensional coordinates of each reader into the calculation formula to solve and obtain the three-dimensional coordinates of each hazardous chemical container ; d is the number of each hazardous chemical container, are the three-dimensional coordinates of the readers corresponding to the first, second, third, and fourth UWB location base stations respectively, They are the measured distances from the d-th hazardous chemical container to the corresponding readers of the first, second, third, and fourth UWB positioning base stations, respectively.

[0009] The measured distances from each hazardous chemical container to the corresponding readers of the first, second, third, and fourth UWB positioning base stations are calculated as follows: The total time difference for the acquisition signal to be transmitted from the corresponding readers of each UWB positioning base station to the RFID tags of each hazardous chemical container and then returned from the RFID tags of each hazardous chemical container to the corresponding readers of each UWB positioning base station ; Preliminarily calculate the first measured distance from each hazardous chemical container to the corresponding reader of each UWB positioning base station , where c represents the propagation speed of the signal in air, approximately the speed of light , ε is the relative permittivity of the environment, used to correct the propagation speed of the signal in different media; Based on the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, extract the signal strength indication values of the RFID tags corresponding to each hazardous chemical container for the corresponding readers of each UWB positioning base station , and thus calculate the second measured distance from each hazardous chemical container to the corresponding reader of each UWB positioning base station , D0 is a preset reference distance, P0 is the reference intensity at the preset reference distance D0, and n is the set path loss exponent, indicating the degree of signal attenuation during propagation; Finally, calculate the measured distance from each hazardous chemical container to the corresponding reader of each UWB positioning base station , ω1 and ω2 represent weight coefficients respectively, and the specific calculation process is as follows: Based on the first measured distance error threshold and the second measured distance error threshold , further calculate the weight coefficients ω1 and ω2 respectively: ; Extract the measured distances from each hazardous chemical container to the corresponding readers of the first, second, third, and fourth UWB positioning base stations from the measured distances from each hazardous chemical container to the corresponding readers of each UWB positioning base station.

[0010] Evaluate the storage risk coefficients of each hazardous chemical container, including: Based on the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, obtain the tilt angle, storage temperature, and storage humidity of each hazardous chemical container; Thus, calculate the tilt angle risk coefficient of each hazardous chemical container respectively , the storage temperature risk coefficient and the storage humidity risk coefficient ; Finally, evaluate the storage risk coefficient of each hazardous chemical container , where η1, η2, and η3 respectively represent the weight factors of the tilt angle risk coefficient, storage temperature risk coefficient, and storage humidity risk coefficient, and η1 + η2 + η3 = 1.

[0011] The tilt angle risk coefficient, storage temperature risk coefficient, and storage humidity risk coefficient of each hazardous chemical container. The calculation process includes: Based on , calculate the tilt angle risk coefficient of each hazardous chemical container , is the tilt angle of each hazardous chemical container, is the set angle safety threshold,; Based on , calculate the storage temperature risk coefficient of each hazardous chemical container , is the storage temperature of each hazardous chemical container, are respectively the highest allowable storage temperature, the lowest allowable storage temperature, and the optimal storage temperature corresponding to the d-th hazardous chemical container; Based on , calculate the storage humidity risk coefficient of each hazardous chemical container , is the storage humidity of each hazardous chemical container, are respectively the highest allowable storage humidity, the lowest allowable storage humidity, and the optimal storage humidity corresponding to the d-th hazardous chemical container.

[0012] On the other hand, the present invention provides an intelligent hazardous chemical safety management device based on the Internet of Things, including a processor, a memory, and a communication bus; The memory stores a computer-readable program executable by the processor; The communication bus realizes the connection and communication between the processor and the memory; When the processor executes the computer-readable program, it executes to implement an intelligent hazardous chemical safety management method based on the Internet of Things as described in the present invention.

[0013] As described above, an intelligent hazardous chemical safety management method and device provided by the present invention have at least the following beneficial effects: In the embodiments of the present invention, the embedding of RFID tags enables each hazardous chemical container to be uniquely identified, and its location and status can be tracked in real time. This real-time data collection ability enables enterprises to master the storage situation of hazardous chemicals at any time, reducing the error rate and omission risk of manual management. Through integration with UWB technology, enterprises can achieve higher-precision positioning services. UWB technology has strong anti-interference ability and high-precision positioning characteristics, and can provide centimeter-level positioning accuracy in complex industrial environments, ensuring that the three-dimensional spatial position of hazardous chemical containers is accurately identified. This feature is particularly important in multi-layer stacked storage environments, which can effectively avoid misoperations or accidents caused by spatial overlap; Deploying four UWB positioning base stations to form a regular tetrahedron topology can achieve comprehensive coverage of the entire storage area. Such a layout method not only improves the reliability of positioning but also ensures signal stability under different environmental conditions. In this way, the background management system can obtain the three-dimensional coordinates of each hazardous chemical container in real time and conduct dynamic monitoring. This efficient data transmission and processing ability enables enterprises to respond to environmental changes in a timely manner and avoid potential safety hazards; In summary, integrating RFID tags and UWB technology into hazardous chemical management not only improves the automation and intelligence level of management but also ensures the safety and efficiency of operations. The implementation of this technology provides necessary safety guarantees for enterprises, reduces potential risks, and also lays a solid foundation for the sustainable development of enterprises. Description of the Drawings

[0014] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0015] Figure 1 It is a connection schematic diagram of the steps of the method of the present invention. Detailed Embodiments

[0016] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by this claims, they should fall within the protection scope of the present invention.

[0017] Embodiment 1 Please refer to Figure 1 As shown, an intelligent hazardous chemical safety management method based on the Internet of Things, the method includes the following steps: S1. RFID Tag Embedding: Embed intelligent RFID tags on each hazardous chemical container, and integrate the RFID tags with UWB at the same time; The intelligent RFID tags also integrate the following modules: Tilt sensor module, used to monitor the tilt angle of each hazardous chemical container in real time; Temperature and humidity sensor module, used to monitor the temperature and humidity changes in the storage environment of each hazardous chemical container; Signal strength detection module, used to sense the signal strength propagated by the RFID tags corresponding to each hazardous chemical container.

[0018] S2. Location Base Station Layout: Deploy 4 UWB location base stations to form a regular tetrahedron topology, and each UWB location base station contains a reader; S3. Internet of Things Data Transmission: The RFID tags communicate with the background management system through the Internet of Things gateway. The gateway is responsible for collecting the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, and transmitting the data to the background management system through wireless communication; The real-time data uploaded by the RFID tags corresponding to each hazardous chemical container includes the tilt angle, storage temperature, storage humidity of each hazardous chemical container, and the signal strength indication value of the RFID tags corresponding to each hazardous chemical container to the readers in the corresponding UWB location base stations.

[0019] S4. Three-dimensional Location of Hazardous Chemicals: Based on the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, the background management system analyzes the three-dimensional coordinates of each hazardous chemical container; Analyze the three-dimensional coordinates of each hazardous chemical container. The specific analysis process includes: Obtain the three-dimensional coordinates of each reader , where f is the number of the reader corresponding to each UWB location base station, f = 1, 2, 3 or 4; Import the three-dimensional coordinates of each reader into the calculation formula to solve and obtain the three-dimensional coordinates of each hazardous chemical container ; d is the number of each hazardous chemical container, are the three-dimensional coordinates of the readers corresponding to the first, second, third, and fourth UWB location base stations respectively, are the measured distances from the d-th hazardous chemical container to the readers corresponding to the first, second, third, and fourth UWB location base stations respectively.

[0020] Trilateration is a technique widely used in positioning and navigation systems, especially significant in wireless positioning technologies such as RFID (Radio Frequency Identification) and UWB (Ultra-Wideband). Its core principle is to calculate the position of a target by measuring the distances between the target object and three or more known positions: The greatest advantage of trilateration lies in its high precision and reliability. By using multiple known points, the system can effectively reduce the impact of single measurement errors on the final positioning result. For example, in a complex environment, signals may be affected by multipath effects, signal attenuation, or interference, and a single distance measurement may lead to large errors. By combining the distance information from multiple readers, trilateration can optimize the positioning result through geometric calculations using methods such as weighted average or least squares method, thus significantly improving the precision.

[0021] The measured distances from each hazardous chemical container to the corresponding readers in the first, second, third, and fourth UWB positioning base stations are as follows. The specific calculation process is as follows: Collect the total time difference of the signal emitted from the corresponding readers in each UWB positioning base station to the RFID tags of each hazardous chemical container and then returned from the RFID tags of each hazardous chemical container to the corresponding readers in each UWB positioning base station ; Preliminarily calculate the first measured distance from each hazardous chemical container to the corresponding reader in each UWB positioning base station , where c represents the propagation speed of the signal in air, approximately the speed of light , ε is the relative permittivity of the environment, used to correct the propagation speed of the signal in different media; Based on the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, extract the signal strength indication values of the RFID tags corresponding to each hazardous chemical container for the corresponding readers in each UWB positioning base station , and thus calculate the second measured distance from each hazardous chemical container to the corresponding reader in each UWB positioning base station , D0 is a preset reference distance, P0 is the reference strength at the preset reference distance D0, and n is the set path loss exponent, indicating the degree of signal attenuation during propagation; Finally, calculate the measured distance from each hazardous chemical container to the corresponding reader in each UWB positioning base station , ω1 and ω2 respectively represent weight coefficients, and the specific calculation process is as follows: Based on the first measured distance error threshold and the second measured distance error threshold , further calculate the weight coefficients ω1 and ω2 respectively: ; Extract the measured distances from each hazardous chemical container to the corresponding readers in the first, second, third, and fourth UWB positioning base stations from the measured distances from each hazardous chemical container to the corresponding readers in each UWB positioning base station.

[0022] In practical applications, combining the two technologies of the first measured distance TOF (Time of Flight) and the second measured distance RSSI (Received Signal Strength Indication) for weighted calculation can significantly improve the positioning accuracy. The necessity and advantages of this fusion method can be elaborated from multiple aspects: Firstly, TOF and RSSI each have their unique advantages and disadvantages. TOF calculates the distance by measuring the round-trip time of the signal and usually performs well in a line-of-sight (LOS) environment, capable of providing high accuracy. However, TOF has extremely high requirements for the accuracy of time measurement and is easily affected by environmental factors such as multipath effects and obstacles, resulting in increased errors. In a complex environment, the measurement of TOF may not be stable; On the other hand, RSSI estimates the distance based on the attenuation of the signal strength. Although it performs well in free space, in practical applications, the signal strength is affected by environmental factors such as obstacles, reflections, and interference, resulting in large measurement errors. The advantage of RSSI is that its hardware cost is low and it is easy to implement, but its accuracy and stability are poor, especially in multipath and non-line-of-sight (NLOS) environments; By combining TOF and RSSI, we can make up for the deficiencies of single technologies. The weighted fusion method can dynamically adjust the weights according to the reliability of each technology, thereby optimizing the positioning accuracy in different environments. For example, in a line-of-sight environment, the weight of TOF can be higher, while in a complex environment, the weight of RSSI can be increased. In this way, the system can automatically adjust the contributions of the two according to the real-time measurement errors to ensure the stability and accuracy of the positioning results.

[0023] S5. Risk assessment and early warning: The background management system evaluates the storage risk coefficients of each hazardous chemical container. When an abnormal situation is detected, the system automatically triggers an early warning and notifies relevant personnel to take measures through text messages, emails, or the Internet of Things platform.

[0024] Evaluate the storage risk coefficients of each hazardous chemical container, including: Based on the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, obtain the tilt angle, storage temperature, and storage humidity of each hazardous chemical container; From this, calculate the tilt angle risk coefficient of each hazardous chemical container 、the storage temperature risk coefficient and the storage humidity risk coefficient ; Finally, evaluate the storage risk coefficient of each hazardous chemical container , η1, η2, and η3 represent the weight factors of the tilt angle risk coefficient, storage temperature risk coefficient, and storage humidity risk coefficient respectively, and η1 + η2 + η3 = 1.

[0025] The tilt angle risk coefficient, storage temperature risk coefficient, and storage humidity risk coefficient of each hazardous chemical container. The calculation process includes: Based on , calculate the tilt angle risk coefficient of each hazardous chemical container , is the tilt angle of each hazardous chemical container, is the set angle safety threshold; Based on , calculate the storage temperature risk coefficient of each hazardous chemical container , is the storage temperature of each hazardous chemical container, are the maximum allowable storage temperature, minimum allowable storage temperature, and optimal storage temperature corresponding to the storage of the d-th hazardous chemical container respectively; Based on , calculate the storage humidity risk coefficient of each hazardous chemical container , is the storage humidity of each hazardous chemical container, are the maximum allowable storage humidity, minimum allowable storage humidity, and optimal storage humidity corresponding to the storage of the d-th hazardous chemical container respectively.

[0026] If 0 The storage risk coefficient of a certain hazardous chemical container < 0.3, it is determined that the risk level of this hazardous chemical container is low risk, indicating that the storage environment of this hazardous chemical container is normal storage and no intervention is required; If 0 The storage risk coefficient of a certain hazardous chemical container < 0.6, it is determined that the risk level of this hazardous chemical container is medium risk, indicating that the storage environment of this hazardous chemical container needs to be monitored and the storage conditions may need to be adjusted; If The storage risk coefficient of a certain hazardous chemical container < 0.8, it is determined that the risk level of this hazardous chemical container is high risk, indicating that the storage environment of this hazardous chemical container requires immediate measures, such as adjusting the angle, humidity, or temperature; If 0 The storage risk coefficient of a certain hazardous chemical container < 1.0, it is determined that the risk level of this hazardous chemical container is extremely high risk, indicating that the storage environment of this hazardous chemical container may have potential safety hazards and must be dealt with immediately.

[0027] Example 2 An intelligent safety management device for hazardous chemicals based on the Internet of Things, comprising a processor, a memory and a communication bus; A computer-readable program executable by the processor is stored on the memory; The communication bus realizes the connection and communication between the processor and the memory; When the processor executes the computer-readable program, it is executed to implement an intelligent safety management method for hazardous chemicals based on the Internet of Things as described in the present invention.

[0028] It should be understood that in various embodiments of the present application, the magnitudes of the sequence numbers of the above processes do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0029] It should be understood that determining B based on A does not mean determining B only based on A, and B can also be determined based on A and / or other information.

[0030] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0031] Finally: The above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent hazardous chemicals safety management method based on the Internet of Things, characterized in that: include: S1. RFID tag embedding: embed smart RFID tags on each hazardous chemical container, and integrate RFID tags with UWB; S2. Positioning base station deployment: Deploy 4 UWB positioning base stations to form a regular tetrahedron topology, where each UWB positioning base station contains a reader; S3. IoT data transmission: RFID tags communicate with the background management system through the IoT gateway. The gateway is responsible for collecting real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, and transmits the data to the background management system through wireless communication; S4. Three-dimensional positioning of hazardous chemicals: Based on the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, the background management system analyzes the three-dimensional coordinates of each hazardous chemical container; S5. Risk assessment and warning: The backend management system evaluates the storage risk factor of each hazardous chemical container. When an abnormal situation is detected, the system automatically triggers a warning and notifies relevant personnel to take measures via SMS, email or IoT platform.

2. According to the method of claim 1, the intelligent hazardous chemicals safety management method based on the Internet of Things is characterized in that: The following modules are also integrated into the smart RFID tag: Tilt sensor module, used to monitor the tilt angle of each hazardous chemical container in real time; Temperature and humidity sensor module, used to monitor the temperature and humidity changes in the storage environment of each hazardous chemical container; The signal strength detection module is used to sense the signal strength transmitted by the RFID tag corresponding to each hazardous chemical container.

3. According to claim 2, a smart hazardous chemicals safety management method based on the Internet of Things is characterized in that: The real-time data uploaded by the RFID tag corresponding to each hazardous chemical container is divided into the tilt angle, storage temperature, storage humidity of each hazardous chemical container and the signal strength indication value of the corresponding reader / writer in each UWB positioning base station corresponding to the RFID tag of each hazardous chemical container.

4. According to the method of claim 1, the method is characterized in that: Analyze the three-dimensional coordinates of each hazardous chemical container. The specific analysis process includes: Get the 3D coordinates of each reader / writer , f is the number of the corresponding reader in each UWB positioning base station, f=1, 2, 3 or 4; Import the 3D coordinates of each reader into the calculation formula In the solution, the three-dimensional coordinates of each hazardous chemical container are obtained. ; d is the number of each hazardous chemical container, They are the three-dimensional coordinates of the corresponding readers in the first, second, third and fourth UWB positioning base stations respectively. These are the measured distances from the dth hazardous chemical container to the corresponding readers in the first, second, third and fourth UWB positioning base stations respectively.

5. According to claim 4, a smart hazardous chemicals safety management method based on the Internet of Things is characterized in that: The measurement distance from each hazardous chemical container to the corresponding reader in the first, second, third and fourth UWB positioning base stations is calculated as follows: The total time difference between the acquisition signal being transmitted from the corresponding reader in each UWB positioning base station to the RFID tag of each hazardous chemical container, and then returned from the RFID tag of each hazardous chemical container to the corresponding reader in each UWB positioning base station ; Preliminary calculation of the first measurement distance from each hazardous chemical container to the corresponding reader in each UWB positioning base station , where c represents the propagation speed of the signal in the air, and ε is the relative dielectric constant of the environment, which is used to correct the propagation speed of the signal in different media; Based on the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, the signal strength indicator value of the corresponding reader / writer in each UWB positioning base station corresponding to the RFID tags of each hazardous chemical container is extracted. , thereby calculating the second measurement distance from each hazardous chemical container to the corresponding reader in each UWB positioning base station , D0 is the preset reference distance, P0 is the reference intensity at the preset reference distance D0, and n is the set path loss index, which indicates the degree of signal attenuation during propagation; Finally, the measurement distance from each hazardous chemical container to the corresponding reader in each UWB positioning base station is calculated. , ω1 and ω2 represent weight coefficients respectively, and the specific calculation process is: Based on the first measurement distance error threshold And the second measurement distance error threshold , and then calculate the weight coefficients ω1 and ω2 respectively: ； The measured distances from each hazardous chemical container to the corresponding reader / writer in each UWB positioning base station are extracted from the measured distances from each hazardous chemical container to the corresponding reader / writer in the first, second, third and fourth UWB positioning base stations.

6. The method for intelligent hazardous chemicals safety management based on the Internet of Things according to claim 1 is characterized in that: Assess the storage risk factor of each hazardous chemical container, including: Based on the real-time data uploaded by the RFID tags corresponding to each hazardous chemical container, the tilt angle, storage temperature and storage humidity of each hazardous chemical container are obtained; The risk coefficient of the tilt angle of each hazardous chemical container is calculated accordingly. , Storage temperature risk factor And storage humidity risk factor ; Finally evaluate the storage risk factor of each hazardous chemical container , η1, η2 and η3 represent the weight factors of the tilt angle risk coefficient, the storage temperature risk coefficient and the storage humidity risk coefficient respectively, and η1+η2+η3=1.

7. The method for intelligent hazardous chemicals safety management based on the Internet of Things according to claim 6 is characterized in that: The calculation process of the tilt angle risk factor, storage temperature risk factor and storage humidity risk factor of each hazardous chemical container includes: based on , calculate the risk factor of the tilt angle of each hazardous chemical container , is the tilt angle of each hazardous chemical container, is the set angle safety threshold; based on , calculate the storage temperature risk coefficient of each hazardous chemical container , is the storage temperature of each hazardous chemical container, The maximum storage temperature, the minimum storage temperature and the optimal storage temperature of the d-th hazardous chemical container are respectively; based on , calculate the storage humidity risk coefficient of each hazardous chemical container , The storage humidity of each hazardous chemical container, They are the maximum allowable storage humidity, the minimum allowable storage humidity and the optimal storage humidity for the d-th hazardous chemical container respectively.

8. An intelligent hazardous chemicals safety management device based on the Internet of Things, characterized by: It is implemented based on an intelligent hazardous chemicals safety management method based on the Internet of Things as described in any one of claims 1 to 7, comprising a processor, a memory and a communication bus; The memory stores a computer-readable program executable by the processor; The communication bus realizes the connection and communication between the processor and the memory; When the processor executes the computer-readable program, it implements an intelligent hazardous chemicals safety management method based on the Internet of Things as described in any one of claims 1-7.

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