A method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things

Abstract

The present invention relates to the technical field of signal transmission, and discloses a method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things. The method comprises: constructing and solving an Internet of Things device deployment objective function to obtain the deployment location of the Internet of Things device; the Internet of Things device collects environmental information and transmits it to a control center; using a hazard assessment model to perform a potential hazard assessment on the environmental information to obtain a command signal for the explosion-proof emergency indicator light; and using an adaptive signal transmission method to transmit the command signal to the explosion-proof emergency indicator light, which performs an emergency indication based on the command signal. The present invention uses an adaptive signal transmission method to transmit the command signal to the explosion-proof emergency indicator light. During the transmission process, the interval time is adjusted based on the rate of change of the command signal to avoid sending the same command signal multiple times, and the transmission rate is adjusted based on the current network bandwidth and the interval time to more effectively utilize the network bandwidth, thereby reducing the response time.

Description

Technical Field

[0001] The present invention relates to the technical field of signal transmission, and in particular to an explosion-proof emergency indicator light signal transmission method based on the Internet of Things. Background Art

[0002] With the increasing complexity and intelligence of industrial production, the demand for safety assurance in hazardous environments is increasing. Explosion-proof emergency indicator lights play a critical role in explosive and hazardous environments, such as chemical plants and mines. However, traditional emergency indicator signal transmission relies on wired communications, which is complex, costly to maintain, and vulnerable to damage in the event of a disaster. Furthermore, in complex industrial environments, especially those prone to explosions, the deployment of wired transmission systems presents significant safety risks. Equipment failures are difficult to repair, and system expansion is limited. In recent years, the Internet of Things (IoT) has been widely applied in various fields, with information transmission and equipment control via wireless networks becoming a new development trend. However, ensuring the real-time, secure, and efficient delivery of information in hazardous environments, such as those involving hazardous chemicals and explosive gases, remains a technological challenge. Summary of the Invention

[0003] In view of this, the present invention provides an explosion-proof emergency indicator light signal transmission method based on the Internet of Things, which establishes a reliable connection between the explosion-proof emergency indicator light and the control center through a low-power wireless communication protocol, collects environmental data with sensors, aggregates information through a gateway and uploads it to the control center for analysis, realizes real-time signal transmission and distributed linkage, and ensures personnel safety and smooth information flow.

[0004] To achieve the above objectives, the present invention provides an explosion-proof emergency indicator light signal transmission method based on the Internet of Things, comprising the following steps:

[0005] S1: Construct and solve the IoT device deployment objective function, obtain the deployment location of the IoT device, and deploy the IoT device;

[0006] S2: IoT devices collect environmental information and transmit the collected environmental information to the control center;

[0007] S3: The control center uses the hazard assessment model to evaluate the potential hazard of the environmental information and obtains the command signal of the explosion-proof emergency indicator light;

[0008] S4: The control center uses an adaptive signal transmission method to transmit the command signal to the explosion-proof emergency indicator light, and the explosion-proof emergency indicator light performs emergency indication according to the command signal.

[0009] As a further improvement method of the present invention:

[0010] Optionally, the expression of the IoT device deployment objective function is: :

[0011] ;

[0012] ;

[0013] in:

[0014] Represents the deployment location sequence of IoT devices to be solved, , Indicates the deployment location of the nth IoT device to be solved, , N represents the number of IoT devices deployed, represents the location of the mth potential hazard source in the environment, , M represents the number of potential hazards in the environment, represents the perception radius of the nth IoT device, Indicates the deployment location Position in the environment the distance between them;

[0015] Indicates the deployment location Position in the environment Coverage factor;

[0016] And construct the constraints of the IoT device deployment location in the IoT device deployment objective function:

[0017] ;

[0018] in:

[0019] represents the distance between the nth IoT device and the pth IoT device, Indicates the preset minimum device distance;

[0020] The constraint condition is converted into a penalty term, and the IoT device deployment objective function is subjected to constraint penalty to obtain the IoT device deployment objective function after constraint penalty. :

[0021] ;

[0022] ;

[0023] in:

[0024] represents the penalty term for the deployment location of the nth IoT device.

[0025] Optionally, the objective function is deployed on the IoT device after the constraint penalty , where the solution process is:

[0026] Generate an initial solution that satisfies the constraints , set the iterative solution parameters, which include the initial temperature , the maximum number of iterations and the iteration control parameters, the tth iteration result of the initial solution is ;

[0027] Using the iterative result of the initial solution as the input of the IoT device deployment objective function after the constraint penalty, and using the output of the IoT device deployment objective function after the constraint penalty as the fitness function value of the iterative result;

[0028] Generate a neighborhood solution for the iteration result, calculate the fitness function value of the neighborhood solution, and the probability of accepting the neighborhood solution, adaptively reduce the initial temperature, iterate the iteration result until the preset maximum number of iterations is reached, and use the iteration result obtained from the final iteration as the deployment location of N IoT devices.

[0029] Optionally, the environmental information includes temperature, humidity, carbon dioxide concentration, and carbon monoxide concentration. The process of transmitting the environmental information to the control center is:

[0030] The IoT device packages and compresses the environmental information to form an environmental data packet, and transmits the environmental data packet to the gateway through the wireless channel in the wireless communication protocol;

[0031] The gateway aggregates the environmental data packets of all IoT devices and sends them to the control center using the TCP / IP protocol. The control center decompresses the environmental data packets to obtain the environmental information collected by all IoT devices.

[0032] Optionally, the hazard assessment model includes an input layer, a standardization processing layer, a spatial position weight calculation layer, an environmental information change calculation layer, and an instruction signal generation layer, wherein the input layer is used to receive environmental information collected by the Internet of Things device, the standardization processing layer is used to standardize the environmental information to obtain a standardized environmental vector, the spatial position weight calculation layer is used to generate the spatial position weight of the standardized environmental vector in combination with the deployment location of the Internet of Things device, wherein the higher the spatial position weight, the higher the consistency between the environmental information collected by the Internet of Things device and the surrounding environmental information of the potential hazard source, the environmental information change calculation layer is used to calculate the time series change of the standardized environmental vector, wherein the larger the time series change, the higher the degree of mutation of the environmental information, the instruction signal generation layer is used to fuse the spatial position weights and time series change of all standardized environmental vectors, generate an instruction index value, and convert the instruction index value into an instruction signal, and the generation formula of the instruction index value is as follows:

[0033] ;

[0034] in:

[0035] E represents the instruction index value;

[0036] Represents the spatial position weight of the standardized environment vector corresponding to the environment information collected by the nth IoT device;

[0037] Indicates the environmental information change of the standardized environmental vector corresponding to the environmental information collected by the nth IoT device.

[0038] Optionally, the standardization processing layer processes the environmental information collected by the nth IoT device The standardization formula is:

[0039] ;

[0040] ;

[0041] in:

[0042] , represents the temperature, humidity, carbon dioxide concentration, and carbon monoxide concentration collected by the nth IoT device in turn;

[0043] Indicates environmental information Middle The standardized processing results of the data, including environmental information The 1st to 4th types of data are ;

[0044] Indicates the preset The minimum value of the data;

[0045] Indicates the preset The maximum value of the data.

[0046] Optionally, the normalized environment vector The spatial position weight is :

[0047] ;

[0048] in:

[0049] represents the distance adjustment factor, d represents the adjustment factor, Indicates the distance between the deployment location of the nth IoT device and the nearest potential danger source;

[0050] The normalized environment vector The time series variation of :

[0051] ;

[0052] in:

[0053] represents the L2 norm;

[0054] Indicates the time interval between the last command signal generation time and the current time, Represents the standardized environment vector corresponding to the environmental information collected by the nth IoT at the time the last command signal was generated.

[0055] Optionally, the control center uses an adaptive signal transmission method to transmit the command signal to the explosion-proof emergency indicator light, and the explosion-proof emergency indicator light performs emergency indication according to the command signal, wherein the emergency indication includes adjusting the color and flashing frequency of the explosion-proof emergency indicator light. The process of the adaptive signal transmission method is as follows:

[0056] Calculate the rate of change of the command signal, the command signal The rate of change of :

[0057] ;

[0058] in:

[0059] Indicates the command signal currently executed by the explosion-proof emergency indicator light. Indicates the time interval between the last command signal generation time and the current time;

[0060] Based on the change rate of the command signal, the interval time for command signal transmission is generated. After the command signal is generated, it will be sent to the explosion-proof emergency indicator light after waiting for the interval time. The transmission interval is :

[0061] ;

[0062] in:

[0063] represents the control factor;

[0064] Based on the interval time of the command signal transmission and the network status, the transmission rate of the command signal is generated. The transmission rate is :

[0065] ;

[0066] in:

[0067] B represents the current network bandwidth, Indicates the transmission rate adjustment coefficient.

[0068] In order to solve the above problem, the present invention provides an electronic device, comprising:

[0069] a memory storing at least one instruction;

[0070] Communication interfaces to enable electronic equipment to communicate; and

[0071] The processor executes the instructions stored in the memory to implement the above-mentioned explosion-proof emergency indicator light signal transmission method based on the Internet of Things.

[0072] In order to solve the above problems, the present invention also provides a computer-readable storage medium, which stores at least one instruction. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned explosion-proof emergency indicator light signal transmission method based on the Internet of Things.

[0073] Compared with the existing technology, the present invention proposes a method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things. This technology has the following advantages:

[0074] First, this scheme proposes an optimization method for IoT device deployment. Based on the coverage of potential danger sources by IoT devices, an IoT device deployment objective function is constructed, and the IoT device deployment location that maximizes the coverage of the environment by IoT devices is solved. In the solution process, an improved simulated annealing algorithm is used to dynamically adjust the size of the neighborhood according to the quality and temperature of the current solution. When the temperature is high, larger neighborhood changes are allowed to enhance the global search. When the temperature is low, the neighborhood changes are reduced to improve the accuracy of the local search. A "memory mechanism" is introduced to record the differences between historical optimal solutions. If the current solution is slightly different from the historical optimal solution and the temperature is low, the probability of acceptance is increased, thereby quickly solving the optimal IoT device deployment location.

[0075] At the same time, this scheme proposes a command signal generation method and an adaptive signal transmission method, which generates the spatial position weight and time series variation of the environmental information collected by the IoT device according to the deployment location and change of the IoT device. The higher the spatial position weight, the higher the consistency between the environmental information collected by the IoT device and the surrounding environmental information of the potential hazard source. The higher the time series variation, the greater the degree of mutation of the environmental information. Then, a hazard assessment of the environment is performed, and a suitable command signal is selected to control the explosion-proof emergency indicator light. The control center adopts an adaptive signal transmission method to transmit the command signal to the explosion-proof emergency indicator light. During the transmission process, the interval time is adjusted based on the change rate of the command signal. If the change rate is small, the interval time becomes longer to avoid sending the same command signal multiple times, and the transmission rate is adjusted according to the current network bandwidth and the interval time to more effectively utilize the network bandwidth. When the emergency indication changes little, an interval time waiting is performed, thereby reducing the response time. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 The present invention provides a flowchart of an explosion-proof emergency indicator light signal transmission method based on the Internet of Things according to an embodiment of the present invention.

[0077] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0078] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0079] The present embodiment provides an IoT-based explosion-proof emergency indicator light signal transmission method. The execution entity of the IoT-based explosion-proof emergency indicator light signal transmission method includes, but is not limited to, at least one of electronic devices such as a server or a terminal that can be configured to execute the method provided in the embodiments of the present application. In other words, the IoT-based explosion-proof emergency indicator light signal transmission method can be executed by software or hardware installed on a terminal device or a server device, where the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0080] Reference Figure 1 , embodiment 1 of the present invention is:

[0081] A method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things comprises the following steps:

[0082] S1: Construct and solve the IoT device deployment objective function, obtain the deployment location of the IoT device, and deploy the IoT device.

[0083] The expression of the IoT device deployment objective function is: :

[0084] ;

[0085] ;

[0086] in:

[0087] Represents the deployment location sequence of IoT devices to be solved, , Indicates the deployment location of the nth IoT device to be solved, , N represents the number of IoT devices deployed, represents the location of the mth potential hazard source in the environment, , M represents the number of potential hazards in the environment, represents the perception radius of the nth IoT device, Indicates the deployment location Position in the environment the distance between them; Indicates the deployment location Position in the environment Coverage factor;

[0088] And construct the constraints of the IoT device deployment location in the IoT device deployment objective function:

[0089] ;

[0090] in:

[0091] represents the distance between the nth IoT device and the pth IoT device, Indicates the preset minimum device distance;

[0092] The constraint condition is converted into a penalty term, and the IoT device deployment objective function is subjected to constraint penalty to obtain the IoT device deployment objective function after constraint penalty. :

[0093] ;

[0094] ;

[0095] in:

[0096] represents the penalty term for the deployment location of the nth IoT device.

[0097] Deployment objective function of IoT devices after the constraint penalty , where the solution process is:

[0098] Generate an initial solution that satisfies the constraints , set the iterative solution parameters, which include the initial temperature , the maximum number of iterations and the iteration control parameters, the tth iteration result of the initial solution is ;

[0099] Using the iterative result of the initial solution as the input of the IoT device deployment objective function after the constraint penalty, and using the output of the IoT device deployment objective function after the constraint penalty as the fitness function value of the iterative result;

[0100] Generate a neighborhood solution of the iteration result, calculate the fitness function value of the neighborhood solution, and the probability of accepting the neighborhood solution, adaptively reduce the initial temperature, iterate the iteration result until the preset maximum number of iterations is reached, and use the iteration result obtained by the final iteration as the deployment location of N IoT devices. The formula for generating the neighborhood solution is:

[0101] ;

[0102] ;

[0103] ;

[0104] ;

[0105] in:

[0106] Represents the iteration result Neighborhood solution of is the preset maximum neighborhood range, represents the t-th adaptive reduction result of the initial temperature, Indicates the preset minimum temperature. represents the adaptive control parameter, represents the iterative control parameter, Respectively represent the preset maximum fitness function value and the minimum fitness function value;

[0107] express Any two-dimensional vector within the range; the deployment position and the maximum neighborhood range are both two-dimensional position vectors;

[0108] The accepted neighborhood solution The probability of :

[0109] ;

[0110] in:

[0111] Represents the neighborhood solution The difference between the fitness function value of and the minimum fitness function value of the iteration result during t iterations, The lower the value, the better the neighborhood solution. The closer to the historical optimal iteration result, or the neighborhood solution Better performance than the best historical iteration results;

[0112] Specifically, if the neighborhood solution is accepted, the neighborhood solution is used as the result of the t+1th iteration, otherwise As the result of the t+1th iteration.

[0113] S2: IoT devices collect environmental information and transmit the collected environmental information to the control center.

[0114] The process of transmitting the environmental information to the control center is as follows:

[0115] The IoT device packages and compresses the environmental information to form an environmental data packet, and transmits the environmental data packet to the gateway via a wireless channel in a wireless communication protocol; as an embodiment of the present invention, the wireless communication protocol is the NB-IoT protocol;

[0116] The gateway aggregates the environmental data packets of all IoT devices and sends them to the control center using the TCP / IP protocol. The control center decompresses the environmental data packets to obtain the environmental information collected by all IoT devices.

[0117] S3: The control center uses the hazard assessment model to evaluate the potential hazards of the environmental information and obtains the command signal of the explosion-proof emergency indicator light.

[0118] The hazard assessment model includes an input layer, a standardization processing layer, a spatial position weight calculation layer, an environmental information change calculation layer, and an instruction signal generation layer. The input layer is used to receive environmental information collected by the Internet of Things device. The standardization processing layer is used to standardize the environmental information to obtain a standardized environmental vector. The spatial position weight calculation layer is used to generate the spatial position weight of the standardized environmental vector in combination with the deployment location of the Internet of Things device. The higher the spatial position weight, the higher the consistency between the environmental information collected by the Internet of Things device and the surrounding environmental information of the potential hazard source. The environmental information change calculation layer is used to calculate the time series change of the standardized environmental vector. The larger the time series change, the higher the degree of mutation of the environmental information. The instruction signal generation layer is used to fuse the spatial position weights and time series change of all standardized environmental vectors to generate an instruction index value, and convert the instruction index value into an instruction signal. The generation formula of the instruction index value is:

[0119] ;

[0120] in:

[0121] E represents the instruction index value;

[0122] Represents the spatial position weight of the standardized environment vector corresponding to the environment information collected by the nth IoT device;

[0123] Indicates the environmental information change of the standardized environmental vector corresponding to the environmental information collected by the nth IoT device.

[0124] As an embodiment of the present invention, the formula for converting the instruction index value E into the instruction signal is:

[0125] ;

[0126] in:

[0127] Indicates the command signal corresponding to the command index value E, represents the first indicator threshold, represents the second indicator threshold, represents the third indicator threshold, Corresponding to four command signals, Indicates a no-risk signal. The explosion-proof emergency indicator light will not work when it receives a no-risk signal. It indicates low risk signal, medium risk signal and high risk signal in turn. The explosion-proof emergency indicator light changes to yellow and flashes slowly after receiving a low risk signal. The explosion-proof emergency indicator light changes to orange and flashes continuously after receiving a medium risk signal. The explosion-proof emergency indicator light changes to red and stays on after receiving a low risk signal.

[0128] The standardization processing layer processes the environmental information collected by the nth IoT device. The standardization formula is:

[0129] ;

[0130] ;

[0131] in:

[0132] , represents the temperature, humidity, carbon dioxide concentration, and carbon monoxide concentration collected by the nth IoT device in turn;

[0133] Indicates environmental information Middle The standardized processing results of the data, including environmental information The 1st to 4th types of data are ;

[0134] Indicates the preset The minimum value of the data;

[0135] Indicates the preset The maximum value of the data.

[0136] The normalized environment vector The spatial position weight is :

[0137] ;

[0138] in:

[0139] represents the distance adjustment factor, d represents the adjustment factor, Indicates the distance between the deployment location of the nth IoT device and the nearest potential danger source;

[0140] The normalized environment vector The time series variation of :

[0141] ;

[0142] in:

[0143] represents the L2 norm;

[0144] Indicates the time interval between the last command signal generation time and the current time, Indicates the standardized environmental vector corresponding to the environmental information collected by the nth IoT at the time of the last command signal generation. As a preferred embodiment of the present invention, according to the standard deviation of the time series variation of N IoT devices, each time series variation is adaptively corrected, wherein the larger the standard deviation of the time series variation, the greater the importance of the time series variation. The correction formula is: , where std is the standard deviation of the timing variation of N IoT devices, is the preset standard deviation threshold.

[0145] S4: The control center uses an adaptive signal transmission method to transmit the command signal to the explosion-proof emergency indicator light, and the explosion-proof emergency indicator light performs emergency indication according to the command signal.

[0146] The control center uses an adaptive signal transmission method to transmit the command signal to the explosion-proof emergency indicator light. The explosion-proof emergency indicator light performs emergency indication according to the command signal, wherein the emergency indication includes adjusting the color and flashing frequency of the explosion-proof emergency indicator light. The process of the adaptive signal transmission method is as follows:

[0147] Calculate the rate of change of the command signal, the command signal The rate of change of :

[0148] ;

[0149] in:

[0150] Indicates the command signal currently executed by the explosion-proof emergency indicator light. Indicates the time interval between the last command signal generation time and the current time; specifically, , ;

[0151] Based on the change rate of the command signal, the interval time for command signal transmission is generated. After the command signal is generated, it will be sent to the explosion-proof emergency indicator light after waiting for the interval time. The transmission interval is :

[0152] ;

[0153] in:

[0154] represents the control factor;

[0155] Based on the interval time of the command signal transmission and the network status, the transmission rate of the command signal is generated. The transmission rate is :

[0156] ;

[0157] in:

[0158] B represents the current network bandwidth, Indicates the transmission rate adjustment coefficient.

[0159] Example 2:

[0160] This solution conducts comparative experiments on the IoT-based explosion-proof emergency indicator light signal transmission method, wired transmission method, and traditional IoT wireless transmission method. The traditional IoT wireless transmission method lacks the adaptive signal transmission method, IoT device deployment method, and hazard assessment model proposed in the embodiments of the present invention. The experimental environment is a factory. During the experiment, multiple groups of dangerous conditions are simulated to evaluate the response of the explosion-proof emergency indicator light to dangerous conditions under different signal transmission methods. The comparative experimental results are shown in Table 1:

[0161] Table 1

[0162] Experimental methods Potential hazard source coverage Response time to dangerous situations Accuracy of response to dangerous situations Explosion-proof emergency indicator light signal transmission method based on Internet of Things 95.8% 3 seconds 95% Wired transmission method 74.2% 10 seconds 76% Traditional IoT wireless transmission methods 89.7% 6 seconds 90%

[0163] As shown in Table 1, the IoT approach can better cover and perceive potential sources of danger, thereby improving the accuracy of responding to dangerous situations. In addition, the IoT-based explosion-proof emergency indicator light signal transmission method proposed in this scheme can more effectively utilize network bandwidth, perform interval waiting when the emergency indication changes little, and thus reduce the response time.

[0164] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0165] It should be noted that the serial numbers of the above-mentioned embodiments of the present invention are for descriptive purposes only and do not represent the advantages or disadvantages of the embodiments. In addition, the terms "including", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "including a ..." does not exclude the presence of other identical elements in the process, device, article or method comprising the element.

[0166] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0167] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things, characterized in that: The method comprises: S1: Construct and solve an IoT device deployment objective function to obtain the deployment location of the IoT device and deploy the IoT device. The IoT device deployment objective function uses the deployment location of the IoT device as a variable and aims to maximize the coverage of the IoT device in the environment. The IoT device deployment objective function is solved using an improved simulated annealing algorithm. The IoT device is a sensor device; S2: IoT devices collect environmental information and transmit the collected environmental information to the control center; S3: The control center uses the risk assessment model to perform a potential risk assessment on the environmental information and obtains a command signal for the explosion-proof emergency indicator light. The command signal includes the color and flashing frequency of the explosion-proof emergency indicator light. S4: The control center uses an adaptive signal transmission method to transmit the command signal to the explosion-proof emergency indicator light, and the explosion-proof emergency indicator light performs emergency indication according to the command signal; The expression of the IoT device deployment objective function is f(θ): in: θ represents the deployment position sequence of IoT devices to be solved, θ=(θ1,θ2,...,θ n ,...,θ N ),θ n Indicates the deployment location of the nth IoT device to be solved, n∈[1,N], N represents the number of IoT devices deployed, α m Indicates the location of the mth potential hazard source in the environment, m∈[1,M], M represents the number of potential hazard sources in the environment, R n represents the perception radius of the nth IoT device, d(θ n ,α m ) represents the deployment position θ n and the position α in the environment m the distance between them; w(θ n ,α m ) represents the deployment position θ n For the position α in the environment m Coverage factor; And construct the constraints of the IoT device deployment location in the IoT device deployment objective function: say n,p ≥say min ,n,p∈[1,N],n≠p; in: dis n,p Indicates the distance between the nth IoT device and the pth IoT device, dis min Indicates the preset minimum device distance; The constraint condition is converted into a penalty term, and the IoT device deployment objective function is subjected to a constraint penalty to obtain the IoT device deployment objective function F(θ) after constraint penalty: in: represents the penalty term for the deployment location of the nth IoT device.

2. The method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things according to claim 1, wherein: The objective function F(θ) is deployed on the IoT device after the constraint penalty, where the solution process is: Generate an initial solution θ(0) that meets the constraint conditions, set iterative solution parameters, the iterative solution parameters include the initial temperature K0, the maximum number of iterations, and the iterative control parameters, and the t-th iteration result of the initial solution is θ(t); Using the iterative result of the initial solution as the input of the IoT device deployment objective function after the constraint penalty, and using the output of the IoT device deployment objective function after the constraint penalty as the fitness function value of the iterative result; Generate a neighborhood solution for the iteration result, calculate the fitness function value of the neighborhood solution, and the probability of accepting the neighborhood solution, adaptively reduce the initial temperature, iterate the iteration result until the preset maximum number of iterations is reached, and use the iteration result obtained from the final iteration as the deployment location of N IoT devices.

3. The method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things according to claim 1, wherein: The environmental information includes temperature, humidity, carbon dioxide concentration, and carbon monoxide concentration. The process of transmitting the environmental information to the control center is as follows: The IoT device packages and compresses the environmental information to form an environmental data packet, and transmits the environmental data packet to the gateway through the wireless channel in the wireless communication protocol; The gateway aggregates the environmental data packets of all IoT devices and sends them to the control center using the TCP / IP protocol. The control center decompresses the environmental data packets to obtain the environmental information collected by all IoT devices.

4. The method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things according to claim 1, wherein: The hazard assessment model includes an input layer, a standardization processing layer, a spatial position weight calculation layer, an environmental information change calculation layer, and an instruction signal generation layer. The input layer is used to receive environmental information collected by the Internet of Things device. The standardization processing layer is used to standardize the environmental information to obtain a standardized environmental vector. The spatial position weight calculation layer is used to generate the spatial position weight of the standardized environmental vector in combination with the deployment position of the Internet of Things device. The higher the spatial position weight, the higher the consistency between the environmental information collected by the Internet of Things device and the surrounding environmental information of the potential hazard source. The environmental information change calculation layer is used to calculate the time series change of the standardized environmental vector. The larger the time series change, the higher the degree of mutation of the environmental information. The instruction signal generation layer is used to fuse the spatial position weights and time series change of all standardized environmental vectors to generate an instruction index value, and convert the instruction index value E into an instruction signal E * , the formula for generating the instruction index value is: in: E represents the instruction index value; Represents the spatial position weight of the standardized environment vector corresponding to the environment information collected by the nth IoT device; Indicates the environmental information change of the standardized environmental vector corresponding to the environmental information collected by the nth IoT device.

5. The method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things according to claim 4, wherein: The standardization processing layer processes the environmental information x collected by the nth IoT device. n The standardization formula is: in: x n =[x n (1),x n (2),x n (3),x n (4)],x n (1),x n (2),x n (3),x n (4) represents the temperature, humidity, carbon dioxide concentration, and carbon monoxide concentration collected by the nth IoT device in turn; Represents environmental information x n The standardized processing result of the i-th data, where the environmental information x n The 1st to 4th data are x n (1),x n (2),x n (3),x n (4); min i Indicates the minimum value of the preset i-th data; max i Indicates the maximum value of the preset i-th type of data.

6. The method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things according to claim 5, wherein: The normalized environment vector The spatial position weight is in: DIS0 represents the distance adjustment factor, d represents the adjustment factor, and dis(n) represents the distance between the deployment location of the nth IoT device and the nearest potential danger source; The normalized environment vector The time series variation of in: ||·||2 represents the L2 norm; Time represents the time interval between the last command signal generation time and the current time. Represents the standardized environment vector corresponding to the environmental information collected by the nth IoT at the time the last command signal was generated.

7. The method for transmitting explosion-proof emergency indicator light signals based on the Internet of Things according to claim 1, wherein: The control center uses an adaptive signal transmission method to transmit the command signal to the explosion-proof emergency indicator light. The explosion-proof emergency indicator light performs emergency indication according to the command signal, wherein the emergency indication includes adjusting the color and flashing frequency of the explosion-proof emergency indicator light. The process of the adaptive signal transmission method is as follows: Calculate the rate of change of the command signal, the command signal E * The rate of change of ΔE * : in: E ' Indicates the command signal currently executed by the explosion-proof emergency indicator light, and time indicates the time interval between the last command signal generation time and the current time; Based on the change rate of the command signal, the interval time of the command signal transmission is generated. After the command signal is generated, it will be sent to the explosion-proof emergency indicator light after waiting for the interval time. The command signal E * The transmission interval is in: ε represents the control factor; Based on the interval time of the command signal transmission and the network status, the transmission rate of the command signal is generated. * The transmission rate is in: B represents the current network bandwidth, and λ represents the transmission rate adjustment coefficient.

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