Method and device for generating fire extinguishing scheme of hydropower station

Abstract

The invention provides a hydropower station fire extinguishing scheme generation method and device, and relates to the technical field of fire fighting. The method comprises the following steps: determining an initial fire extinguishing scheme based on the similarity between real-time fire parameters and fire categories in a fire database; determining a real-time fire evaluation value according to the real-time fire parameters and the maximum similarity; determining a feedback period duration according to the real-time fire evaluation value; and correcting the initial fire extinguishing scheme according to the fire loss parameter of the next feedback time node. Based on the similarity between the fire of the hydropower station and the fire type in the database, the initial fire extinguishing scheme is selected from the multiple reference fire extinguishing schemes, the fire is quickly responded, and actions are taken to preliminarily and effectively control the fire. Fire data are monitored in real time, a fire extinguishing scheme is periodically adjusted according to real-time fire parameters, the fire extinguishing efficiency can be improved, and fire losses are further reduced.

Description

Technical Field

[0001] The present disclosure relates to the technical field of fire fighting, and in particular to a method and device for generating a fire extinguishing plan for a hydropower station. Background Art

[0002] Fire scenes can present dangers such as high temperatures, smoke, explosions, and collapse, posing a threat to the health and safety of firefighters and rescuers. Time is of the essence when a fire breaks out. A firefighting plan must be developed within a short period of time, and timely action must be taken to extinguish and rescue the fire. Otherwise, the fire could spread rapidly, causing irreparable damage.

[0003] At present, when a fire occurs in a hydropower station, the corresponding fire-fighting plan is mainly formulated based on manual experience, which fails to respond to the fire in a timely manner, thus affecting the fire-fighting efficiency. There are problems such as fire-fighting plan errors caused by human misjudgment, which aggravates the fire and causes irreparable losses. Summary of the Invention

[0004] The present disclosure aims to solve one of the technical problems in the related art at least to a certain extent.

[0005] To this end, the first embodiment of the present disclosure proposes a method for generating a fire extinguishing plan for a hydropower station, comprising the following steps:

[0006] Obtain real-time fire parameters at hydropower stations;

[0007] Determining similarities between the real-time fire parameters and reference fire parameters for each fire category in a fire database, respectively, wherein the fire database includes a plurality of fire categories and a reference fire extinguishing solution corresponding to each fire category;

[0008] selecting an initial fire extinguishing scheme from a plurality of reference fire extinguishing schemes according to the similarity;

[0009] determining a real-time fire evaluation value of the hydropower station according to the real-time fire parameter and a maximum similarity among the similarities;

[0010] Determining a feedback cycle duration after implementing the initial fire extinguishing plan based on the real-time fire evaluation value, wherein the real-time fire evaluation value and the feedback cycle duration are in inverse proportion;

[0011] Obtaining, based on the feedback cycle duration, a fire loss parameter and an expected fire loss parameter at a next feedback time node after implementation of the initial fire extinguishing plan;

[0012] The initial fire extinguishing plan is modified according to the fire loss parameter and the expected fire loss parameter.

[0013] In some embodiments of the present disclosure, the formula for the similarity is as follows:

[0014]

[0015] Among them, f β is the similarity between the real-time fire parameter and the reference fire parameter of the βth fire category, d i is the real-time fire parameter of the ith i is the influencing factor of the i-th real-time fire parameter, c βi is the i-th reference fire parameter in the β-th fire category, and Q is a preset fixed coefficient.

[0016] In some embodiments of the present disclosure, determining the real-time fire evaluation value of the hydropower station based on the real-time fire parameters and the maximum similarity among the similarities includes: generating a first reference evaluation value based on the real-time fire parameters; taking the difference between a preset first similarity and the maximum similarity as a second reference evaluation value; and performing weighted summation processing on the first reference evaluation value and the second reference evaluation value to obtain the real-time fire evaluation value.

[0017] In some embodiments of the present disclosure, the modifying the initial fire extinguishing plan based on the fire loss parameter and the expected fire loss parameter includes: in response to the fire loss parameter being greater than the expected fire parameter, determining the difference between the fire loss parameter and the expected fire parameter; and modifying the spraying amount of the fire extinguishing agent and / or changing the type of the fire extinguishing agent in the initial fire extinguishing plan based on the difference.

[0018] In some embodiments of the present disclosure, the real-time fire parameters include at least one of the following: category of combustible materials in the fire area, quantity of combustible materials in the fire area, scope of the fire area, cause of fire, affected area of fire, fire hazard, smoke parameters, and environmental parameters of the fire area.

[0019] A second embodiment of the present disclosure provides a device for generating a fire extinguishing plan for a hydropower station, comprising:

[0020] Acquisition module, used to obtain real-time fire parameters of the hydropower station;

[0021] a first determination module, configured to respectively determine similarities between the real-time fire parameters and reference fire parameters for each fire category in a fire database, wherein the fire database includes a plurality of fire categories and a reference fire extinguishing solution corresponding to each fire category;

[0022] A second determining module is configured to select an initial fire extinguishing scheme from a plurality of reference fire extinguishing schemes according to the similarity;

[0023] a third determining module, configured to determine a real-time fire evaluation value of the hydropower station according to the real-time fire parameter and the maximum similarity among the similarities;

[0024] A fourth determining module is configured to determine a feedback cycle duration after implementing the initial fire extinguishing plan based on the real-time fire evaluation value, wherein the real-time fire evaluation value and the feedback cycle duration are in inverse proportion;

[0025] a fifth determining module, configured to obtain, based on the feedback cycle duration, a fire loss parameter and an expected fire loss parameter at a next feedback time node after implementation of the initial fire extinguishing plan;

[0026] A correction module is used to correct the initial fire extinguishing plan according to the fire loss parameter and the expected fire loss parameter.

[0027] In some embodiments of the present disclosure, the third determination module is specifically used to: generate a first reference evaluation value based on the real-time fire parameters; use the difference between the preset first similarity and the maximum similarity as the second reference evaluation value; and perform weighted summation processing on the first reference evaluation value and the second reference evaluation value to obtain the real-time fire evaluation value.

[0028] In some embodiments of the present disclosure, the correction module is specifically used to: in response to the fire loss parameter being greater than the expected fire parameter, determine the difference between the fire loss parameter and the expected fire parameter; and correct the spraying amount of the fire extinguishing agent and / or change the type of fire extinguishing agent in the initial fire extinguishing plan according to the difference.

[0029] A third embodiment of the present disclosure provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0030] The memory stores computer-executable instructions;

[0031] The processor executes the computer-executable instructions stored in the memory to implement the method described in the first aspect.

[0032] The fourth aspect of the present disclosure provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores computer-executable instructions, which are used to implement the method described in the first aspect when executed by a processor.

[0033] This disclosure provides a method for generating a hydropower station fire extinguishing plan. Based on the similarity between the current hydropower station fire and fire types in a database, the method selects an initial fire extinguishing plan from multiple reference fire extinguishing plans, enabling rapid response and initial effective fire control. By monitoring fire data in real time and periodically adjusting the fire extinguishing plan based on real-time fire parameters, the method can improve fire extinguishing efficiency and further reduce fire losses.

[0034] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The above and / or additional aspects and advantages of the present disclosure will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0036] Figure 1 A schematic flow chart of a method for generating a fire extinguishing plan for a hydropower station provided by an embodiment of the present disclosure;

[0037] Figure 2 A schematic diagram of a device for generating a fire extinguishing solution for a hydropower station provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0038] The following describes in detail embodiments of the present disclosure, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0039] Specifically, the method and apparatus for generating a fire extinguishing plan for a hydropower station according to an embodiment of the present disclosure will be described below with reference to the accompanying drawings.

[0040] Figure 1 This is a flow chart of a method for generating a hydropower station fire extinguishing plan provided by an embodiment of the present disclosure. Figure 1 As shown, the method for generating a fire extinguishing plan for a hydropower station may include the following steps:

[0041] Step 101: Acquire real-time fire parameters of the hydropower station.

[0042] Optionally, the real-time fire parameters may include one or more fire parameters. As an example, the real-time fire parameters include at least one of the following: the category of combustibles in the fire area, the amount of combustibles in the fire area, the scope of the fire area, the cause of the fire, the area affected by the fire, the fire hazard, smoke parameters, and environmental parameters of the fire area. When there are multiple real-time fire parameters, the real-time fire parameters can be expressed in the form of a series, such as D = (d1, d2, ..., d m), where d i is the i-th real-time fire parameter.

[0043] It should be noted that, for fire parameters in non-data form, such as fire causes, the non-data form fire parameters can be converted into data form parameters based on the severity to facilitate subsequent data processing.

[0044] As an example, real-time fire parameters of a hydropower station can be collected through drone detection, hydropower station equipment parameter query, hydropower station building parameter query, etc., and the development of the fire can be continuously monitored through drone detection and regional infrared camera equipment.

[0045] Step 102 : determining similarities between the real-time fire parameters and reference fire parameters of each fire category in a fire database, respectively. The fire database includes multiple fire categories and reference fire extinguishing solutions corresponding to each fire category.

[0046] The fire database is established through historical fire data, and the historical fires are divided into multiple fire categories. The reference fire parameters C of each fire category are determined based on the fire parameters of the historical fires under each category. β =(c β1 ,c β2 ,…,c βm ). Optionally, each reference fire parameter c βi It can be a range of values or a specific value (such as taking the average value of the same historical fire parameter under the same fire category as the reference fire parameter).

[0047] In some embodiments of the present disclosure, the similarity F between the real-time fire parameters and the reference fire parameters of each fire category can be calculated by various methods such as Euclidean distance and cosine similarity. n ), where f β is the similarity between the real-time fire parameter and the βth fire category. In one implementation, the similarity between fire parameters is calculated with reference to the following formula:

[0048]

[0049] Among them, f β is the similarity between the real-time fire parameters and the reference fire parameters of the βth fire category, d i is the i-th real-time fire parameter, α i is the influencing factor of the i-th real-time fire parameter, c βi is the i-th reference fire parameter in the β-th fire category, and Q is a preset fixed coefficient.

[0050] Step 103 : Select an initial fire extinguishing solution from multiple reference fire extinguishing solutions based on similarity.

[0051] In the embodiment of the present disclosure, the maximum similarity f max The corresponding fire category is used as the reference fire category for this fire in the hydropower station. According to the fire database, the reference fire extinguishing plan corresponding to the reference fire category is used as the initial fire extinguishing plan. At the same time, the initial fire extinguishing plan is implemented in a timely manner to carry out preliminary control of this fire.

[0052] Optionally, in some embodiments of the present disclosure, the maximum similarity can be compared to a preset similarity threshold. If the maximum similarity is less than the preset similarity threshold, this indicates that the current fire database does not contain any fire data with a particularly high similarity to the current fire, possibly indicating a new fire type that has never occurred before. In this case, the fire parameters of the current fire can be added to the fire database, increasing the number of reference fire cases in the database.

[0053] Step 104 : determining the real-time fire evaluation value of the hydropower station according to the real-time fire parameters and the maximum similarity among the similarities.

[0054] In some embodiments of the present disclosure, real-time fire parameters can indicate the severity of the current fire, and maximum similarity can indicate whether a fire similar to the current fire has occurred in the hydropower station in history. The higher the severity, the greater the real-time fire evaluation value; the lower the maximum similarity, the greater the real-time fire evaluation value (indicating that a situation similar to the current fire may never have occurred in history, and the historical fire data has low reference value, so the attention paid to the current fire needs to be increased). Therefore, the current fire can be evaluated using two dimensions: real-time fire parameters and maximum similarity. The higher the evaluation value, the greater the attention paid to the current fire, and the need to monitor fire data more frequently to adjust the fire plan to deal with emergencies.

[0055] In one implementation, a first reference evaluation value H1 can be generated based on real-time fire parameters to assess the severity of the fire. Alternatively, a mapping relationship between fire parameters and fire evaluation values can be determined based on historical fire parameters and evaluation tag values, and the first reference evaluation value H1 can be obtained based on the real-time fire parameters and this mapping relationship.

[0056] The preset first similarity F1 and the maximum similarity f max The difference between (i.e. F1-f max) as the second reference evaluation value H2. The first similarity is used to determine whether there are any reference cases for the current fire in the fire database. A larger second reference evaluation value H2 indicates a lower reference value for the historical fire data. A weighted sum of the first and second reference evaluation values is performed to obtain the real-time fire evaluation value v. In other words, fires with higher severity and lower reference value for historical data warrant closer attention, increasing fire monitoring frequency and allowing for timely updates to firefighting plans based on real-time conditions.

[0057] Step 105 : Determine the duration of the feedback cycle after the initial fire extinguishing plan is implemented based on the real-time fire evaluation value. The real-time fire evaluation value and the duration of the feedback cycle are in inverse proportion.

[0058] A higher fire assessment value indicates greater attention to the fire and a shorter feedback cycle. For example, three fire assessment value intervals can be created: the first fire assessment value interval (V1, V2), the second fire assessment value interval (V2, V3), and the third fire assessment value interval (V3, V4). V1 < V2 < V3 < V4.

[0059] If the fire evaluation value v is within the preset first fire evaluation value interval, the feedback cycle duration t is set to the preset first feedback cycle duration T1, that is, t=T1;

[0060] If the fire assessment value v is within the preset second fire assessment value interval, the feedback cycle duration t is set to the preset second feedback cycle duration T1, that is, t=T2;

[0061] If the fire assessment value v is within the preset third fire assessment value interval, the feedback cycle duration t is set to the preset third feedback cycle duration T1, that is, t=T3, wherein T1>T2>T3.

[0062] Step 106 : Obtain the fire loss parameter and the expected fire loss parameter at the next feedback time node after the initial fire extinguishing plan is implemented according to the feedback cycle duration.

[0063] After the initial fire extinguishing plan is implemented, the fire loss parameters at the next feedback time node are obtained after the feedback cycle. The fire loss parameters at the next feedback time node can be obtained by continuous monitoring of the fire using drone detection and regional infrared camera equipment. The expected fire loss parameters can be obtained from the fire database, and the fire loss parameters are calculated based on the maximum similarity f in the database. max The corresponding fire category and the corresponding reference fire extinguishing plan are used to find the corresponding loss parameters and use them as the expected fire loss parameters for this fire.

[0064] Alternatively, in other embodiments of the present disclosure, the expected fire loss parameters at the next feedback time node may be obtained through computer simulation based on the real-time fire parameters.

[0065] Step 107: Modify the initial fire extinguishing plan according to the fire loss parameter and the expected fire loss parameter.

[0066] Optionally, in response to a fire loss parameter being greater than an expected fire parameter, the difference between the fire loss parameter and the expected fire parameter is determined, and the amount of extinguishing agent applied in the initial fire extinguishing plan is modified and / or the type of extinguishing agent is changed based on the difference. For example, the amount of extinguishing agent applied can be increased to improve fire extinguishing efficiency. Alternatively, if the fire is not significantly under control after implementing the initial fire extinguishing plan, the type of extinguishing agent can be changed, and the fire extinguishing plan can be updated in a timely manner to control the fire and reduce fire losses.

[0067] The revised fire extinguishing plan is used as the fire extinguishing plan after the next feedback time node. After the updated fire extinguishing plan is implemented at the next feedback time node, the process returns to step 104 to re-evaluate the real-time fire evaluation value of the hydropower station and update the fire extinguishing plan after the next feedback time node.

[0068] By implementing the disclosed embodiments, an initial fire extinguishing plan was selected from multiple reference fire extinguishing plans based on the similarity between the hydropower station fire and fire types in a database. This enabled a rapid response to the fire and action to achieve initial and effective control. Real-time monitoring of fire data and periodic adjustments to fire extinguishing plans based on real-time fire parameters can improve fire extinguishing efficiency and further reduce fire losses.

[0069] Figure 2 This is a schematic diagram of a device for generating a hydropower station fire extinguishing solution provided by an embodiment of the present disclosure. Figure 2 As shown, the device for generating a fire extinguishing plan for a hydropower station includes: an acquisition module 201 , a first determination module 202 , a second determination module 203 , a third determination module 204 , a fourth determination module 205 , a fifth determination module 206 and a correction module 207 .

[0070] Wherein, the acquisition module 201 is used to obtain the real-time fire parameters of the hydropower station;

[0071] A first determination module 202 is configured to determine the similarity between the real-time fire parameters and the reference fire parameters for each fire category in a fire database, wherein the fire database includes multiple fire categories and reference fire extinguishing solutions corresponding to each fire category;

[0072] A second determination module 203 is configured to select an initial fire extinguishing solution from a plurality of reference fire extinguishing solutions based on similarity;

[0073] The third determining module 204 is configured to determine the real-time fire evaluation value of the hydropower station based on the real-time fire parameters and the maximum similarity among the similarities;

[0074] The fourth determining module 205 is configured to determine the duration of the feedback cycle after the initial fire extinguishing plan is implemented based on the real-time fire evaluation value, wherein the fire evaluation value and the feedback cycle duration are in inverse proportion to each other;

[0075] The fifth determination module 206 is configured to obtain, based on the feedback cycle duration, a fire loss parameter and an expected fire loss parameter at the next feedback time node after the initial fire extinguishing plan is implemented;

[0076] The correction module 207 is used to correct the initial fire extinguishing plan according to the fire loss parameter and the expected fire loss parameter.

[0077] In some embodiments of the present disclosure, the third determination module 204 is specifically used to: generate a first reference evaluation value based on real-time fire parameters; use the difference between the preset first similarity and the maximum similarity as the second reference evaluation value; and perform weighted summation processing on the first reference evaluation value and the second reference evaluation value to obtain a real-time fire evaluation value.

[0078] In some embodiments of the present disclosure, the correction module 207 is specifically used to: in response to the fire loss parameter being greater than the expected fire parameter, determine the difference between the fire loss parameter and the expected fire parameter; and correct the spraying amount of the fire extinguishing agent in the initial fire extinguishing plan and / or change the type of the fire extinguishing agent according to the difference.

[0079] Regarding the apparatus in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0080] In order to implement the above embodiments, the present disclosure also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0081] In order to implement the above embodiments, the present disclosure further proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0082] In order to implement the above embodiments, the present disclosure further provides a computer program product, including a computer program, which implements the methods provided in the above embodiments when executed by a processor.

[0083] In the descriptions of the aforementioned embodiments, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are mutually inconsistent.

[0084] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout the present disclosure, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0085] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0086] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0087] It should be understood that various parts of the present disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0088] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0089] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing module, or each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0090] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. A person of ordinary skill in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for generating a fire extinguishing plan for a hydropower station, characterized in that: The following steps are involved: Obtain real-time fire parameters at hydropower stations; Determining similarities between the real-time fire parameters and reference fire parameters for each fire category in a fire database, respectively, wherein the fire database includes a plurality of fire categories and a reference fire extinguishing solution corresponding to each fire category; selecting an initial fire extinguishing scheme from a plurality of reference fire extinguishing schemes according to the similarity; determining a real-time fire evaluation value of the hydropower station according to the real-time fire parameter and a maximum similarity among the similarities; Determining a feedback cycle duration after implementing the initial fire extinguishing plan based on the real-time fire evaluation value, wherein the real-time fire evaluation value and the feedback cycle duration are in inverse proportion; Obtaining, based on the feedback cycle duration, a fire loss parameter and an expected fire loss parameter at a next feedback time node after implementation of the initial fire extinguishing plan; The initial fire extinguishing plan is modified according to the fire loss parameter and the expected fire loss parameter.

2. The method according to claim 1, wherein The formula for the similarity is as follows: Among them, f β is the similarity between the real-time fire parameter and the reference fire parameter of the βth fire category, d i is the real-time fire parameter of the ith i is the influencing factor of the i-th real-time fire parameter, c βi is the i-th reference fire parameter in the β-th fire category, and Q is a preset fixed coefficient.

3. The method according to claim 1, wherein Determining the real-time fire evaluation value of the hydropower station according to the real-time fire parameters and the maximum similarity among the similarities includes: generating a first reference evaluation value according to the real-time fire parameter; using the difference between the preset first similarity and the maximum similarity as a second reference evaluation value; A weighted sum process is performed on the first reference evaluation value and the second reference evaluation value to obtain the real-time fire evaluation value.

4. The method according to claim 1, wherein The modifying of the initial fire extinguishing plan according to the fire loss parameter and the expected fire loss parameter comprises: In response to the fire loss parameter being greater than the expected fire parameter, determining a difference between the fire loss parameter and the expected fire parameter; The spraying amount of the fire extinguishing agent in the initial fire extinguishing plan is corrected and / or the type of the fire extinguishing agent is changed according to the difference.

5. The method according to any one of claims 1 to 4, wherein The real-time fire parameters include at least one of the following: category of combustibles in the fire area, quantity of combustibles in the fire area, range of the fire area, cause of fire, affected area of fire, fire hazard, smoke parameters, and environmental parameters of the fire area.

6. A device for generating a fire extinguishing plan for a hydropower station, characterized in that: include: Acquisition module, used to obtain real-time fire parameters of the hydropower station; a first determination module, configured to respectively determine similarities between the real-time fire parameters and reference fire parameters for each fire category in a fire database, wherein the fire database includes a plurality of fire categories and a reference fire extinguishing solution corresponding to each fire category; A second determining module is configured to select an initial fire extinguishing scheme from a plurality of reference fire extinguishing schemes according to the similarity; a third determining module, configured to determine a real-time fire evaluation value of the hydropower station according to the real-time fire parameter and the maximum similarity among the similarities; A fourth determining module is configured to determine a feedback cycle duration after implementing the initial fire extinguishing plan based on the real-time fire evaluation value, wherein the real-time fire evaluation value and the feedback cycle duration are in inverse proportion; a fifth determining module, configured to obtain, based on the feedback cycle duration, a fire loss parameter and an expected fire loss parameter at a next feedback time node after implementation of the initial fire extinguishing plan; A correction module is used to correct the initial fire extinguishing plan according to the fire loss parameter and the expected fire loss parameter.

7. The device according to claim 6, characterized in that The third determining module is specifically configured to: generating a first reference evaluation value according to the real-time fire parameter; using the difference between the preset first similarity and the maximum similarity as a second reference evaluation value; A weighted sum process is performed on the first reference evaluation value and the second reference evaluation value to obtain the real-time fire evaluation value.

8. The device according to claim 6, wherein The correction module is specifically used for: In response to the fire loss parameter being greater than the expected fire parameter, determining a difference between the fire loss parameter and the expected fire parameter; The spraying amount of the fire extinguishing agent in the initial fire extinguishing plan is corrected and / or the type of the fire extinguishing agent is changed according to the difference.

9. An electronic device, characterized in that: include: a processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 5 when executed by a processor.

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