A combustible dangerous substance fire risk early warning method and device

Abstract

The application provides a combustible dangerous substance fire risk early warning method and device, and the method comprises the following steps: obtaining ignition data of a target combustible dangerous substance; analyzing the ignition data to determine the weights of concentration parameters, minimum ignition energy parameters and lower explosive limit parameters; establishing an environment parameter and fire risk early warning model; obtaining current environment parameters, current concentration, current minimum ignition energy parameters and current lower explosive limit parameters of the target combustible dangerous substance; calculating a first early warning value based on the current concentration, the current minimum ignition energy parameters and the current lower explosive limit parameters and the weights of the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters; inputting the current environment parameters into the environment parameter and fire risk early warning model to obtain a second early warning value; and performing fire risk early warning based on the relationship between the first early warning value and the second early warning value. The method realizes multi-factor fire early warning, is more accurate, and is convenient for discovering fire hazards in time and avoiding fire.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fire safety, in particular to a combustible dangerous substance fire risk early warning method and device. BACKGROUND

[0002] The traditional fire alarm system alarms according to temperature and smoke generated by burning of substances in the early stage after the occurrence of fire. For example, for the fire detection alarm of combustible dangerous substances of Class A, the traditional method is to use smoke fire detectors and temperature fire detectors for detection, and the signals are transmitted to the fire alarm controller to realize the alarm function. This method belongs to the alarm after the occurrence of fire, has a certain delay, and when the combustible gas detector is damaged, it causes a large fire risk early warning error, and it is difficult to accurately and effectively perform fire early warning on the combustible dangerous substances. SUMMARY

[0003] Therefore, the present application provides a combustible dangerous substance fire risk early warning method and device to overcome the problem that the prior art cannot accurately and effectively perform fire early warning on combustible dangerous substances.

[0004] According to a first aspect, the present application provides a combustible dangerous substance fire risk early warning method, comprising:

[0005] Obtaining ignition data of a target combustible dangerous substance, the ignition data comprising: concentration parameters, minimum ignition energy parameters and lower explosive limit parameters corresponding to ignition of the target combustible dangerous substance under different environmental parameters;

[0006] Analyzing the ignition data to determine the weights of the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters;

[0007] Establishing an environmental parameter and fire risk early warning model based on the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters and the weights thereof;

[0008] Obtaining current environmental parameters, current concentration, current minimum ignition energy parameters and current lower explosive limit parameters of the target combustible dangerous substance;

[0009] Calculating a first early warning value based on the current concentration, the current minimum ignition energy parameters and the current lower explosive limit parameters and the weights of the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters;

[0010] Inputting the current environmental parameters into the environmental parameter and fire risk early warning model to obtain a second early warning value;

[0011] Performing fire risk early warning based on the relationship between the first early warning value and the second early warning value.

[0012] Optionally, the analyzing the ignition data, determining the weights corresponding to the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter comprises:

[0013] performing principal component analysis on the ignition data based on the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter to obtain a relationship between an ignition index and each parameter;

[0014] determining the weights corresponding to the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter based on the relationship between the ignition index and each parameter.

[0015] Optionally, the establishing an environmental parameter and fire risk early warning model based on the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter and the weights corresponding thereto comprises:

[0016] calculating an ignition index value under different environmental parameters based on the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter and the weights corresponding thereto;

[0017] determining a relationship between an environmental parameter and an ignition index based on the ignition index under different environmental parameters, and constructing the environmental parameter and fire risk early warning model.

[0018] Optionally, the obtaining ignition data of a target combustible hazardous substance comprises:

[0019] obtaining original ignition data of the target combustible hazardous substance;

[0020] performing standardization processing on the original ignition data to obtain the ignition data.

[0021] Optionally, the performing fire risk early warning based on the relationship between the first early warning value and the second early warning value comprises:

[0022] calculating a difference between the second early warning value and the first early warning value;

[0023] determining a current fire risk level according to the difference and a relationship between a preset difference and a fire risk level;

[0024] performing fire risk early warning based on the current fire risk level.

[0025] Optionally, the method further comprises:

[0026] obtaining safety measures corresponding to the current fire risk level;

[0027] performing fire risk investigation work based on the safety measures.

[0028] Optionally, the original ignition data is processed by standardization according to the following formula:

[0029]

[0030] In the formula, x' represents a sample value of the normalized ignition data, x is an original sample value in the original ignition data, μ represents a sample mean value, and s is a sample standard deviation.

[0031] According to a second aspect, an embodiment of the present application provides a combustible dangerous substance fire risk early warning device, comprising:

[0032] An acquisition module is configured to acquire ignition data of a target combustible dangerous substance, wherein the ignition data comprises concentration parameters, minimum ignition energy parameters and lower explosive limit parameters corresponding to ignition of the target combustible dangerous substance under different environmental parameters;

[0033] A first processing module is configured to analyze the ignition data and determine weights corresponding to the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters;

[0034] A second processing module is configured to establish an environmental parameter-fire risk early warning model based on the concentration parameters, the minimum ignition energy parameters, the lower explosive limit parameters and the weights corresponding thereto;

[0035] A third processing module is configured to acquire current environmental parameters, a current concentration, current minimum ignition energy parameters and current lower explosive limit parameters of the target combustible dangerous substance;

[0036] A fourth processing module is configured to calculate a first early warning value based on the current concentration, the current minimum ignition energy parameters, the current lower explosive limit parameters and the weights corresponding to the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters;

[0037] A fifth processing module is configured to input the current environmental parameters into the environmental parameter-fire risk early warning model to obtain a second early warning value;

[0038] A sixth processing module is configured to perform fire risk early warning based on a relationship between the first early warning value and the second early warning value.

[0039] According to a third aspect, an embodiment of the present application provides an electronic device, comprising a memory and a processor, which are in communication connection with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the method of the first aspect or any optional implementation manner of the first aspect.

[0040] According to a fourth aspect, an embodiment of the present application provides a computer readable storage medium storing computer instructions for causing a computer to perform the method of the first aspect, or any optional implementation of the first aspect.

[0041] The technical scheme of the present application has the following advantages:

[0042] The combustible dangerous substance fire risk early warning method and device provided by the embodiment of the present application, by acquiring the ignition data of the target combustible dangerous substance; analyzing the ignition data to determine the weights of the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter; based on the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter and the weights corresponding thereto, establishing an environment parameter and fire risk early warning model; acquiring the current environment parameter, the current concentration, the current minimum ignition energy parameter and the current lower explosive limit parameter of the target combustible dangerous substance; based on the current concentration, the current minimum ignition energy parameter and the current lower explosive limit parameter and the weights corresponding thereto, calculating a first early warning value; inputting the current environment parameter into the environment parameter and fire risk early warning model to obtain a second early warning value; based on the relationship between the first early warning value and the second early warning value, performing fire risk early warning. Thus, by analyzing the ignition data of the combustible dangerous substance, the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter and the weights corresponding thereto are obtained to establish the environment parameter and fire risk early warning model, and the early warning values calculated based on the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter and the weights corresponding thereto are compared with the early warning values obtained by inputting the current environment parameter into the environment parameter and fire risk early warning model to determine the current fire risk degree and perform fire early warning. The fire early warning based on multiple factors is realized, the early warning is more accurate, the early warning before the fire occurs is realized, the fire hazards are found in time to avoid the occurrence of fire, which is of great significance to the protection of life and property safety. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed in the specific embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0044] Figure 1 The flowchart of the combustible dangerous substance fire risk early warning method of the embodiment of the present application;

[0045] Figure 2 The structural schematic diagram of the combustible dangerous substance fire risk early warning device of the embodiment of the present application;

[0046] Figure 3 The structure schematic diagram of the electronic device of the embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical scheme and advantages of the embodiment of the present application more clear, the technical scheme of the embodiment of the present application will be described clearly and completely below in combination with the drawings in the embodiment of the present application. Obviously, the described embodiment is a part of the embodiment of the present application, not all the embodiments. Based on the embodiment in the present application, all other embodiments obtained by the person skilled in the art without creative labor are within the protection scope of the present application.

[0048] The technical features involved in the different embodiments of the present application described below can be combined with each other as long as there is no conflict between them.

[0049] The traditional fire alarm system alarms according to temperature and smoke generated by burning of substances in the early stage after the fire occurs. For example, for fire detection alarm of flammable dangerous substances of Class A fire, the traditional way is to use smoke fire detector and temperature fire detector for detection, and the signal is transmitted to the fire alarm controller to realize the alarm function. This way belongs to the alarm after the fire occurs, which has a certain delay, and when the flammable gas detector is damaged, it causes large error in fire risk warning, and it is difficult to accurately and effectively warn the flammable dangerous substances of fire.

[0050] Based on the above problems, the embodiment of the present application provides a flammable dangerous substance fire risk warning method, as shown in the figure, which specifically comprises the following steps: Figure 1 The flammable dangerous substance fire risk warning method specifically comprises the following steps:

[0051] Step S101: Obtain the ignition data of the target flammable dangerous substance.

[0052] The ignition data includes the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter corresponding to the ignition of the target flammable dangerous substance under different environmental parameters. It should be noted that in the embodiment of the present application, the target flammable dangerous substance is taken as an example of Class A fire dangerous substance ethanol, and in actual application, the target flammable dangerous substance can also be other Class A fire dangerous substances such as pentane, naphtha, cyclopentane, etc., or other Class B fire dangerous substances. The present application is only taken as an example, but is not limited thereto.

[0053] Step S102: Analyze the ignition data to determine the weights of the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter.

[0054] Specifically, in actual application, since the concentration, the ignition energy and the explosion limit are three important indexes of reaction fire hazard, and the three indexes are not linearly independent, by analyzing the ignition data, the three indexes are integrated and converted into linearly independent components to realize data dimension reduction and provide a basis for subsequent evaluation of combustible hazardous substance fire risk.

[0055] Step S103: based on the concentration parameter, the minimum ignition energy parameter and the explosion limit parameter and the corresponding weights, an environment parameter and fire risk early warning model is established.

[0056] Specifically, the environment parameters include the environment temperature and the environment humidity. In actual application, the environment temperature and humidity are also important conditions affecting fire occurrence. Therefore, by establishing the environment parameter and fire risk early warning model, the influence of the environment parameter on the fire risk can be more intuitively reflected, thereby providing a basis for accurately predicting the risk of fire.

[0057] Step S104: current environment parameters, current concentration, current minimum ignition energy parameter and current explosion limit parameter of the target combustible hazardous substance are obtained.

[0058] Specifically, the current environment parameters can be obtained by a temperature sensor and a humidity sensor preset in the current environment. The current concentration, the current minimum ignition energy parameter and the current explosion limit parameter can also be obtained by corresponding monitoring devices preset in the current environment.

[0059] Step S105: based on the current concentration, the current minimum ignition energy parameter and the current explosion limit parameter and the corresponding weights of the concentration parameter, the minimum ignition energy parameter and the explosion limit parameter, a first early warning value is calculated.

[0060] Specifically, the sum of the products of the current concentration, the current minimum ignition energy parameter and the current explosion limit parameter and their respective weights is the first early warning value. The first early warning value is a critical warning value for fire occurrence. The greater the first early warning value is exceeded, the greater the risk of fire is. The smaller the first early warning value is exceeded, the smaller the risk of fire is.

[0061] Step S106: the current environment parameters are input into the environment parameter and fire risk early warning model to obtain a second early warning value.

[0062] Specifically, the current temperature and humidity are substituted into the above fire risk early warning model to obtain the early warning value of the current environment.

[0063] Step S107: based on the relationship between the first early warning value and the second early warning value, fire risk early warning is performed.

[0064] Specifically, by comparing the size of the early warning value of the current environment and the critical early warning value of the fire, the risk degree of the current environment of the fire can be obtained, so as to carry out the corresponding fire risk early warning. For example, different colors can be used for early warning according to the order of the risk degree of the fire from large to small, such as red, orange, yellow and green. Among them, green represents low fire risk, yellow represents general fire risk, orange represents high fire risk, red represents very high fire risk, and the like. The present application is only an example and is not limited thereto.

[0065] By performing the above steps, the combustible dangerous substance fire risk early warning method provided by the embodiment of the present application can obtain the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter and the corresponding weight by analyzing the ignition data of the combustible dangerous substance, and then establish the environment parameter and fire risk early warning model, and compare the early warning value calculated by using the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter and the corresponding weight with the early warning value obtained by inputting the current environment parameter into the environment parameter and fire risk early warning model, to determine the current fire risk degree and carry out fire early warning. The fire early warning based on multiple factors is realized, the early warning is more accurate, the early warning before the fire occurs is realized, the fire hazards are found in time, the occurrence of fire is avoided, and it is of great significance to protect the safety of life and property.

[0066] Specifically, in an embodiment, the above step S101 obtains the original ignition data of the target combustible dangerous substance; and the original ignition data is standardized to obtain the ignition data. The original ignition data can be obtained by completing experiments in a certified laboratory or by giving data from the laboratory, which greatly improves the accuracy of experimental data and avoids fire and explosion risks.

[0067] Specifically, the original ignition data is standardized according to the following formula (1):

[0068]

[0069] In the formula, x' represents the sample value of the standardized ignition data, x is the original sample value in the original ignition data, μ represents the sample mean, and s is the sample standard deviation.

[0070] Specifically, in an embodiment, the above step S102 specifically includes the following steps:

[0071] Step S201: Based on the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter, the principal component analysis is carried out on the ignition data to obtain the relationship between the ignition index and each parameter.

[0072] Step S202: Based on the relationship between the ignition index and each parameter, the weight corresponding to the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter is determined.

[0073] Specifically, by calculating the covariance matrix of the ignition data, and then calculating the eigenvalues and eigenvectors of the covariance matrix, according to the contribution rate of each eigenvalue to the eigenvector, the most important k eigenvalues are retained, and the eigenvectors corresponding to the retained eigenvalues are used to solve the reduced data.

[0074] Exemplarily, by principal component analysis, the above-mentioned concentration parameter, minimum ignition energy parameter and lower explosive limit parameter can be converted into components linearly irrelevant to the fire hazard ignition index. Specifically, it can be represented by the following formula (2):

[0075] Z = K1 * C - K2 * D + K3 * E (2)

[0076] Wherein, Z represents the ignition index for evaluating the fire risk, C represents the concentration data after standard processing, D represents the minimum ignition energy data after standard processing, E represents the lower explosive limit data after standard processing, K1-K3 respectively represent the weight values corresponding to the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter.

[0077] Thus, by analyzing the ignition data of a large number of target flammable hazardous substances, the relationship between the corresponding ignition index and the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter when a fire occurs can be obtained, so as to provide data reference for evaluating the fire risk of target flammable hazardous substances in different environments, and to improve the accuracy of the early warning result.

[0078] Specifically, in an embodiment, the above-mentioned step S103 specifically comprises the following steps:

[0079] Step S301: calculating the ignition index value under different environmental parameters based on the concentration parameter, the minimum ignition energy parameter and the lower explosive limit parameter and the corresponding weight.

[0080] Specifically, the specific numerical value of the corresponding ignition index value Z under different environmental parameters is obtained based on the above-mentioned formula (2).

[0081] Step S302: determining the relationship between the environmental parameter and the ignition index based on the ignition index under different environmental parameters, and constructing an environmental parameter and fire risk early warning model.

[0082] Specifically, by data fitting the temperature and humidity after the above-mentioned standard processing and the corresponding ignition index value in different environments, the relationship between the environmental parameter and the ignition index is obtained, that is, the environmental parameter and fire risk early warning model.

[0083] Exemplarily, the relationship between the environmental parameter and the ignition index is shown in formula (3):

[0084] Z = 0.098x 2-0.0749x - 0.0145y 2 +0.9799x - 0.2993y - 0.0835 (3)

[0085] Wherein, Z represents the ignition index for evaluating the fire risk, x represents the temperature data after standard processing, and y represents the humidity data after standard processing.

[0086] Thus, by using the corresponding ignition index values under different environmental parameters, the relationship between the ignition index values and the environmental parameters is obtained through data fitting, thereby establishing the correlation between the fire risk and the environmental parameters, and by considering the influence of the environmental parameters, the accuracy of the fire risk warning is improved.

[0087] Specifically, in an embodiment, the step S107 specifically includes the following steps:

[0088] Step S401: calculating the difference between the second warning value and the first warning value.

[0089] Step S402: determining the current fire risk level according to the difference and the relationship between the preset difference and the fire risk level.

[0090] Specifically, the relationship between the preset difference and the fire risk level can be flexibly set according to the accuracy requirement of the actual fire risk warning or the division of the risk level, for example, taking the difference of 0 as the critical value, and taking 10 as the unit of the risk level division, if the difference is positive, the risk level is higher, and if the difference is negative, the risk level is lower.

[0091] Step S403: performing the fire risk warning based on the current fire risk level.

[0092] Specifically, the first warning value is the ignition index value corresponding to the current concentration, the current minimum ignition energy and the current lower explosion limit parameter, and this index value is used as the critical standard for fire warning, if the warning value obtained based on the current environmental parameters is greater than the critical standard, it means that the fire risk is increased, otherwise, if the warning value obtained based on the current environmental parameters is less than the critical standard, it means that the fire risk is reduced, therefore, by calculating the difference between the two, the risk of the target flammable dangerous substance in the current environment can be accurately determined, thereby improving the accuracy of the fire risk warning.

[0093] Specifically, in an embodiment, the flammable dangerous substance fire risk warning specifically further includes the following steps:

[0094] Step S108: obtaining the safety measures corresponding to the current fire risk level.

[0095] Specifically, in order to avoid fire as much as possible, different safety measures corresponding to different risk levels can be set in advance according to the characteristics of the target flammable dangerous substance and the characteristics of the storage environment, so as to achieve multiple protection through different safety measures and reduce the fire risk. For example, taking ethanol as an example, when the current fire risk level is general, the corresponding safety measure is set to be ventilation, and if the current fire risk level is high, the corresponding safety measure is set to be to start the static electricity removal device, and the environmental humidity is increased, and so on, which is only an example and is not limited thereto.

[0096] Step S109: fire risk investigation operation based on the safety measures.

[0097] Specifically, the risk investigation operation is performed through the execution of the above safety measures to further reduce the fire risk.

[0098] By changing the traditional fire alarm after the fire into a pre-warning before the fire, the fire risk is determined by multiple correlation factors, and the pre-warning is more accurate. According to the mathematical model operation, the risk analysis pre-warning is performed, the intelligent fire protection project can be integrated, the risk classification is realized, and the corresponding safety measures are taken for different levels of risk. In addition, whether the data collected by the single factor monitoring device is accurate can be derived through the above model established by the present application, so as to know whether the device is working normally, so as to remind the maintenance personnel to timely maintain the fire related monitoring devices such as temperature detection devices. For example: when the temperature is 20℃, the humidity is 30%rh, the alcohol concentration is 2%(V / V), the lower explosion limit is 3.3%(V / V), and the minimum ignition energy is 0.21MJ, these data can be used to establish a mathematical model by using data software. In the case that a certain device is damaged and causes inaccurate data collection, other data can still be derived by the mathematical model, so as to reduce the risk pre-warning error caused by the data collection error, and further improve the accuracy of the fire risk pre-warning.

[0099] By executing the above steps, the combustible dangerous substance fire risk pre-warning method provided by the embodiment of the present application analyzes the ignition data of the combustible dangerous substance to obtain the concentration parameter, the minimum ignition energy parameter and the lower explosion limit parameter and their corresponding weights, and then establishes an environmental parameter and fire risk pre-warning model. The pre-warning value calculated by using the concentration parameter, the minimum ignition energy parameter and the lower explosion limit parameter and their corresponding weights is compared with the pre-warning value obtained by inputting the current environmental parameter into the environmental parameter and fire risk pre-warning model to determine the current fire risk degree and perform fire pre-warning. The fire pre-warning based on multiple factors is realized, the pre-warning is more accurate, the pre-warning before the fire is realized, the fire hazards are found in time, the occurrence of fire is avoided, and it is of great significance to protect the life and property safety.

[0100] The embodiment of the present application also provides a combustible dangerous substance fire risk pre-warning device, which comprises the combustible dangerous substance fire risk pre-warning method. Figure 2As shown, the combustible dangerous substance fire risk early warning device specifically comprises:

[0101] The acquisition module 101 is configured to acquire ignition data of the target combustible dangerous substance, the ignition data comprising: concentration parameters corresponding to the target combustible dangerous substance when ignited under different environmental parameters, minimum ignition energy parameters, and lower explosive limit parameters. For details, refer to the related description of step S101 in the above method embodiment, which will not be repeated here.

[0102] The first processing module 102 is configured to analyze the ignition data and determine the weights of the concentration parameters, the minimum ignition energy parameters, and the lower explosive limit parameters. For details, refer to the related description of step S102 in the above method embodiment, which will not be repeated here.

[0103] The second processing module 103 is configured to establish an environmental parameter and fire risk early warning model based on the concentration parameters, the minimum ignition energy parameters, and the lower explosive limit parameters and the weights thereof. For details, refer to the related description of step S103 in the above method embodiment, which will not be repeated here.

[0104] The third processing module 104 is configured to acquire current environmental parameters, a current concentration, a current minimum ignition energy parameter, and a current lower explosive limit parameter of the target combustible dangerous substance. For details, refer to the related description of step S104 in the above method embodiment, which will not be repeated here.

[0105] The fourth processing module 105 is configured to calculate a first early warning value based on the current concentration, the current minimum ignition energy parameter, and the current lower explosive limit parameter and the weights of the concentration parameters, the minimum ignition energy parameters, and the lower explosive limit parameters. For details, refer to the related description of step S105 in the above method embodiment, which will not be repeated here.

[0106] The fifth processing module 106 is configured to input the current environmental parameters into the environmental parameter and fire risk early warning model to obtain a second early warning value. For details, refer to the related description of step S106 in the above method embodiment, which will not be repeated here.

[0107] The sixth processing module 107 is configured to perform fire risk early warning based on the relationship between the first early warning value and the second early warning value. For details, refer to the related description of step S107 in the above method embodiment, which will not be repeated here.

[0108] The combustible dangerous substance fire risk early warning device provided in the embodiments of the present application is used to execute the combustible dangerous substance fire risk early warning method provided in the above embodiments, and has the same implementation manner and principle. For details, refer to the related description of the above method embodiments, which will not be repeated here.

[0109] Through the collaborative operation of the aforementioned components, the combustible hazardous material fire risk early warning device provided in this embodiment of the invention analyzes the ignition data of combustible hazardous materials to obtain concentration parameters, minimum ignition energy parameters, and lower explosive limit parameters, along with their corresponding weights. This allows for the establishment of an environmental parameter and fire risk early warning model. The early warning value calculated using the concentration parameters, minimum ignition energy parameters, and lower explosive limit parameters, along with their corresponding weights, is compared with the early warning value obtained from the environmental parameter and fire risk early warning model based on the current environmental parameters to determine the current fire risk level and issue a fire warning. This achieves multi-factor-based fire early warning, resulting in more accurate warnings and enabling early warning before a fire occurs. It helps to promptly detect fire hazards and prevent fires from happening, which is of great significance for protecting life and property safety.

[0110] This invention also provides an electronic device, such as... Figure 3 As shown, the electronic device includes a processor 901 and a memory 902, wherein the processor 901 and the memory 902 can be connected via a bus or other means. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0111] Processor 901 can be a Central Processing Unit (CPU). Processor 901 can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips.

[0112] The memory 902, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the above method embodiments. The processor 901 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory 902, thereby implementing the methods in the above method embodiments.

[0113] The memory 902 can include a program storage area and a data storage area, where the program storage area can store an operating system, application programs required by at least one function, and the data storage area can store data created by the processor 901 and the like. In addition, the memory 902 can include a high-speed random access memory, and can further include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some embodiments, the memory 902 can optionally include a memory disposed remotely from the processor 901, which can be connected to the processor 901 through a network. Examples of the above network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0114] One or more modules are stored in the memory 902, which, when executed by the processor 901, perform the methods in the above method embodiments.

[0115] The above controller specific details can be understood in correspondence with the above method embodiments, and the effects of the corresponding descriptions, which will not be described here.

[0116] Those skilled in the art can understand that all or part of the processes in the above embodiments can be completed by a computer program instructing related hardware, and the implemented program can be stored in a computer readable storage medium. When the program is executed, it can include the processes of the above embodiments. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid state drive (SSD), etc. The storage medium can also include a combination of the above types of memories.

[0117] Although the embodiments of the present application are described in conjunction with the accompanying drawings, various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the present application, and such modifications and changes fall within the scope defined by the appended claims.

Claims

1. A combustible hazardous substance fire risk early warning method, characterized by, The method comprises the following steps: obtaining ignition data of a target flammable hazardous substance, wherein the ignition data comprises concentration parameters, minimum ignition energy parameters and lower explosive limit parameters corresponding to ignition of the target flammable hazardous substance under different environmental parameters; analyzing the ignition data to determine weights of the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters; establishing an environmental parameter and fire risk early warning model based on the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters and the weights thereof, wherein the establishment comprises calculating ignition index values under different environmental parameters based on the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters and the weights thereof, determining a relationship between the environmental parameters and the ignition index based on the ignition index under different environmental parameters, and constructing the environmental parameter and fire risk early warning model, wherein the environmental parameters comprise environmental temperature and environmental humidity; obtaining current environmental parameters, a current concentration, a current minimum ignition energy parameter and a current lower explosive limit parameter of the target flammable hazardous substance; calculating a first early warning value based on the current concentration, the current minimum ignition energy parameter and the current lower explosive limit parameter and the weights of the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters; inputting the current environmental parameters into the environmental parameter and fire risk early warning model to obtain a second early warning value; performing fire risk early warning based on a relationship between the first early warning value and the second early warning value, wherein the performance comprises calculating a difference between the second early warning value and the first early warning value, determining a current fire risk level according to the difference and a relationship between preset difference values and fire risk levels, and performing fire risk early warning based on the current fire risk level.

2. The method of claim 1, wherein, The analysis of the ignition data to determine the weights of the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters comprises: performing principal component analysis on the ignition data based on the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters to obtain a relationship between an ignition index and each parameter; determining the weights of the concentration parameters, the minimum ignition energy parameters and the lower explosive limit parameters based on the relationship between the ignition index and each parameter.

3. The method of claim 1, wherein, The obtaining of the ignition data of the target flammable hazardous substance comprises: obtaining original ignition data of the target flammable hazardous substance; performing standardization processing on the original ignition data to obtain the ignition data.

4. The method of claim 1, wherein, The method further comprises: obtaining safety measures corresponding to the current fire risk level; performing fire risk investigation operation based on the safety measures.

5. The method of claim 3, wherein, The original ignition data is processed by standardization according to the following formula: In the formula, x ′ represents the sample value of the normalized ignition data, x is the original sample value in the original ignition data, μ represents the sample mean, and s is the sample standard deviation.

6. A combustible hazardous substance fire risk early warning device, characterised in that, The method comprises the following steps: an obtaining module is configured to obtain ignition data of a target flammable hazardous substance, wherein the ignition data comprises concentration parameters, minimum ignition energy parameters and lower explosive limit parameters corresponding to ignition of the target flammable hazardous substance under different environmental parameters; The first processing module is configured to analyze the ignition data to determine weights corresponding to the concentration parameter, the minimum ignition energy parameter, and the lower explosive limit parameter. The second processing module is configured to establish an environment parameter and fire risk early warning model based on the concentration parameter, the minimum ignition energy parameter, and the lower explosive limit parameter and the weights corresponding thereto. The second processing module establishes the environment parameter and fire risk early warning model based on the concentration parameter, the minimum ignition energy parameter, and the lower explosive limit parameter and the weights corresponding thereto by calculating ignition index values under different environment parameters based on the concentration parameter, the minimum ignition energy parameter, and the lower explosive limit parameter and the weights corresponding thereto, determining a relationship between the environment parameters and the ignition index based on the ignition index under different environment parameters, and constructing the environment parameter and fire risk early warning model. The environment parameters include an environment temperature and an environment humidity. The third processing module is configured to obtain current environment parameters, a current concentration, a current minimum ignition energy parameter, and a current lower explosive limit parameter of the target combustible hazardous substance. The fourth processing module is configured to calculate a first early warning value based on the current concentration, the current minimum ignition energy parameter, and the current lower explosive limit parameter and the weights corresponding to the concentration parameter, the minimum ignition energy parameter, and the lower explosive limit parameter. The fifth processing module is configured to input the current environment parameters into the environment parameter and fire risk early warning model to obtain a second early warning value. The sixth processing module is configured to perform fire risk early warning based on a relationship between the first early warning value and the second early warning value. The sixth processing module performs fire risk early warning based on the relationship between the first early warning value and the second early warning value by calculating a difference between the second early warning value and the first early warning value, determining a current fire risk level according to the difference and a relationship between preset difference values and fire risk levels, and performing fire risk early warning based on the current fire risk level.

7. An electronic device, comprising: The memory and the processor are communicatively connected, the memory stores computer instructions, and the processor executes the computer instructions to perform the method of any one of claims 1-5. The computer readable storage medium stores computer instructions for causing the computer to perform the method of any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, ​

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