Battery fire suppression parking space layout method and device for new energy stereo garage

Abstract

The invention discloses a battery fire suppression parking space layout method and device for a new energy stereo garage. The method comprises the following steps: (1) carrying out three-dimensional modeling on the stereo garage; (2) based on the garage space model, a position set of potential lithium battery fire suppression parking spaces is determined, and the potential lithium battery fire suppression parking spaces meet preset limiting conditions; (3) establishing an evaluation index system and comprehensive evaluation indexes; (4) according to the comprehensive evaluation index, screening the potential lithium battery fire suppression parking spaces to obtain alternative parking spaces; (5) constructing a target function based on the emergency response coverage range, the comprehensive evaluation index and the quantity distribution condition of each alternative parking space; and (6) optimizing the target function by using an improved genetic algorithm to obtain a lithium battery fire suppression parking space layout scheme and a corresponding lithium battery fire suppression parking space number. The technical problems of unreasonable lithium battery fire suppression parking space layout, long fire extinguishing response time, low resource utilization rate and the like in the prior art can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of fire safety of new energy vehicles, and in particular to a method and device for arranging parking spaces for battery fire suppression in a new energy stereo garage. Background Art

[0002] With the popularity of new energy vehicles, especially electric vehicles, the number of new energy vehicles parked in stereo garages continues to increase. New energy vehicles use lithium batteries as their main power source. When a fire occurs, they have the characteristics of rapid spread, high re-ignition rate, and difficulty in extinguishing. Traditional methods such as spray fire extinguishing and dry powder fire extinguishing have limited suppression effects on lithium battery fires and are difficult to meet the needs of safe fire extinguishing.

[0003] Immersion fire extinguishing technology is currently recognized as one of the most effective ways to extinguish lithium battery fires. By completely immersing the burning electric vehicle in a pool of water, the battery temperature can be quickly reduced, effectively suppressing the spread and re-ignition of the fire. In a stacking-type three-dimensional parking garage, a special lithium battery fire suppression parking space (i.e. a parking space with a built-in pool of water) can be set up on the first floor. When a vehicle is detected to be on fire, the palletizer quickly transports the burning vehicle to the lithium battery fire suppression parking space for immersion fire extinguishing.

[0004] For example, a Chinese patent document with publication number CN115177891A discloses a new energy parking fire protection system, which includes a liftable parking plate, a fire protection pool is arranged below the parking plate, and a lifting mechanism is arranged in the fire protection pool. The lifting mechanism can drive the parking plate downward into the fire protection pool; a water inlet pipe is arranged on the side wall of the lower part of the fire protection pool, and the water inlet pipe is connected to the water source through a drain valve.

[0005] A Chinese patent document with publication number CN118454168A discloses a two-stage new energy vehicle water storage fire-fighting device. The two-stage new energy vehicle water storage fire-fighting device includes an upper water storage structure and a lower water storage structure connected up and down. The upper water storage structure adopts an inflatable method and has a built-in gas generating device, which can generate gas after excitation to expand the upper water storage structure into a closed annular device, which is convenient for being mounted around the burning new energy vehicle; the lower water storage structure adopts a water filling method and is provided with a lower water storage type water injection port, which can achieve a weight-sealing effect.

[0006] However, the layout of lithium battery fire suppression parking spaces in the prior art mostly adopts empirical arrangement or uniform distribution method, lacking a systematic layout optimization method. This simple layout method often leads to the following problems: First, it is impossible to ensure that the burning vehicle can be transported to the lithium battery fire suppression parking space within the specified emergency time; second, the number of lithium battery fire suppression parking spaces is not reasonably configured, either too many causing waste of resources, or insufficient number causing safety risks; third, the location of lithium battery fire suppression parking spaces is unreasonable, which affects the normal operation efficiency of the garage.

[0007] Therefore, how to scientifically and reasonably arrange lithium battery fire suppression parking spaces to not only meet the emergency fire extinguishing time requirements of lithium battery fires, but also maximize resource utilization efficiency has become a key issue that needs to be urgently solved in the design and operation of new energy multi-story parking garages. Summary of the invention

[0008] The present invention provides a method and device for arranging battery fire suppression parking spaces in a new energy stereo garage, which can solve the technical problems in the prior art such as unreasonable layout of lithium battery fire suppression parking spaces, long fire extinguishing response time, and low resource utilization.

[0009] A battery fire suppression parking space layout method for a new energy stereo garage comprises the following steps: (1) Conduct three-dimensional modeling of the stereo garage to obtain a garage space model, including parking space layout, traffic path network, and operation parameters; (2) Based on the garage space model, determine a location set of potential lithium battery fire suppression parking spaces, where the potential lithium battery fire suppression parking spaces meet preset restriction conditions; (3) Establish an evaluation index system for potential lithium battery fire suppression parking spaces and calculate the comprehensive evaluation index for each potential lithium battery fire suppression parking space; (4) Based on the comprehensive evaluation indicators, potential lithium battery fire suppression parking spaces are screened to obtain alternative parking spaces; (5) Construct an objective function based on the emergency response coverage, comprehensive evaluation indicators and quantity distribution of each alternative berth; (6) The objective function is optimized using an improved genetic algorithm to obtain the lithium battery fire suppression parking space layout plan and the corresponding number of lithium battery fire suppression parking spaces.

[0010] Furthermore, in step (2), the preset restriction conditions include: being located on the first floor of the multi-story parking garage, having space for accommodating immersion pool facilities, meeting fire passage requirements, having water supply and drainage conditions, and being located in a structural load-bearing safety area.

[0011] Furthermore, in step (3), an evaluation index system for potential lithium battery fire suppression parking spaces is established, and the specific process is as follows: Based on the construction cost of each potential lithium battery fire suppression parking space, determine the construction cost index: ; in, No. The actual construction cost of a potential lithium battery fire suppression parking space, and Respectively represent the maximum and minimum construction costs of all potential parking spaces; Based on the number of parking spaces that each potential lithium battery fire suppression parking space can serve, determine the service efficiency index: ; in, Indicates The number of parking spaces that can be covered by potential lithium battery fire suppression parking spaces, Indicates the total number of parking spaces in the garage; Based on the impact of the potential lithium battery fire suppression parking space location on the traffic flow in the garage and the use of the parking space, the operational impact indicators are determined: ; in, Indicates The average delay time of traffic flow caused by potential lithium battery fire suppression parking spaces, The maximum allowed delay time threshold.

[0012] Calculate the comprehensive evaluation index of each potential lithium battery fire suppression parking space. The specific process is as follows: Based on the preset weights, the normalized construction cost index, service efficiency index and operation impact index are weighted and summed to obtain a comprehensive evaluation index. The formula is: ; in, , , are the weight coefficients of construction cost index, service efficiency index and operation impact index respectively, and satisfy .

[0013] Furthermore, in step (5), the objective function is expressed as: ; in, Indicates the bonus item based on emergency response coverage of alternative berths, represents the penalty item based on the total number of parking spaces suppressed by lithium battery fires, represents the penalty term based on the number of uncovered parking spaces; , , The formula is as follows: ; ; ; in, are the weight coefficients of reward, quantity penalty and non-coverage penalty respectively, Indicates Comprehensive evaluation index of potential lithium battery fire suppression parking spaces, is the evaluation threshold, To reduce the number of parking spaces, Indicates the total number of parking spaces in the garage. is the total number of covered parking spaces.

[0014] Furthermore, in step (6), the specific steps of improving the genetic algorithm are: Initialize the population: randomly generate a group of initial individuals, each of which represents a lithium battery fire suppression parking space layout scheme; Calculate fitness: Calculate the fitness value of each individual according to the objective function; Selection: Roulette selection operator is used to select individuals based on their fitness values. Individuals with higher fitness have a greater probability of being selected. Crossover: Perform a single-point crossover operation on the selected individuals to generate new individuals; Mutation: Perform random mutation operations on newly generated individuals; Elite retention: directly copy the individuals with the highest fitness in the previous generation to the next generation; Dynamic parameter adjustment: dynamically adjust the crossover probability and mutation probability according to the evolution of the population; Termination condition: The algorithm is terminated when the maximum number of iterations is reached or the fitness value meets the requirements.

[0015] Furthermore, in step (6), after obtaining the lithium battery fire suppression parking space layout plan, the method further includes: generating a guidance drawing for the construction and implementation of the lithium battery fire suppression parking space; and performing emergency response time simulation verification on the lithium battery fire suppression parking space layout plan to ensure that the fire extinguishing time requirements are met.

[0016] A battery fire suppression parking space layout device for a new energy stereoscopic car park comprises a memory and one or more processors, wherein the memory stores executable code, and when the one or more processors execute the executable code, they are used to implement the above-mentioned battery fire suppression parking space layout method.

[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention proposes a comprehensive multi-dimensional evaluation system to make the layout of submerged berths more scientific and reasonable.

[0018] 2. The present invention constructs an objective function including reward items and penalty items, so that the optimization process can take into account both safety and economy, and balance fire-fighting efficiency and resource utilization.

[0019] 3. The present invention adopts an improved genetic algorithm for optimization and solution, which can effectively avoid falling into a local optimal solution and improve the solution efficiency and solution quality.

[0020] 4. The method of the present invention can ensure the optimal layout of submerged berths under the emergency time constraint of lithium battery fire, improve the firefighting and rescue efficiency of new energy stereo garages, and reduce safety risks and construction costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The present invention is a flow chart of a method for arranging parking spaces for battery fire suppression in a new energy stereo garage according to an embodiment of the present invention.

[0022] Figure 2 It is a schematic diagram of a garage space model provided by an embodiment of the present invention.

[0023] Figure 3 This is a flow chart of optimizing the objective function using an improved genetic algorithm according to an embodiment of the present invention.

[0024] Figure 4 This is the lithium battery fire suppression parking space layout solution finally obtained in the embodiment of the present invention. DETAILED DESCRIPTION

[0025] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be pointed out that the embodiments described below are intended to facilitate the understanding of the present invention and do not have any limiting effect on the present invention.

[0026] like Figure 1 As shown, a battery fire suppression parking space layout method for a new energy stereo garage includes the following steps: Step 1: Perform three-dimensional modeling of the target area to obtain a garage space model.

[0027] Specifically, 3D modeling software is used to carry out 3D modeling of the new energy multi-story garage to completely reproduce the physical structure of the garage, including parking space layout, driving aisles, elevator locations, entrance and exit locations, etc.

[0028] For example, in this embodiment, Figure 2 As shown in the figure, assuming that the three-dimensional parking garage has 5 floors and a total of 225 parking spaces, it is necessary to record the specific coordinates, size and distance relationship between each parking space and other parking spaces in detail. At the same time, it is also necessary to obtain the operating parameters of the garage, such as the operating speed of the stacker / elevator, storage time, and vehicle in and out frequency.

[0029] In this example, it is assumed that the horizontal moving speed of the palletizer is 2.5 m / s, the vertical moving speed is 1.2 m / s, the storage time is 4 s, and the maximum emergency response time is These parameters will be used in subsequent simulation analysis and optimization calculations to ensure that the selected suppression parking space can effectively handle any burning vehicle within the specified time.

[0030] Step 2: Determine the set of parking spaces with potential lithium battery fire suppression.

[0031] Specifically, the potential lithium battery fire suppression parking spaces are determined based on preset restrictions. The restrictions include: (1) Location restriction: Considering the particularity of immersion fire extinguishing, the suppression parking space must be set on the first floor of the multi-story parking garage so that a pool of sufficient depth can be built.

[0032] (2) Space limitation: The restrained parking space needs to have enough space to accommodate the immersion pool facilities, including the pool, drainage system, lifting equipment, etc. In this embodiment, it is assumed that each restrained parking space requires at least 18 square meters of space to accommodate the immersion pool.

[0033] (3) Passage restriction: The parking spaces must not obstruct the normal traffic flow in the garage and must meet the width and turning radius requirements of the fire passage. For example, the width of the fire passage must be at least 4 meters and the turning radius must be at least 9 meters.

[0034] (4) Water supply and drainage restrictions: The parking space needs to have a reliable water supply and drainage system that can quickly fill and drain water. Assume that the immersion tank is required to be filled within 5 minutes and the drainage time does not exceed 8 minutes.

[0035] (5) Structural limitation: The load-bearing capacity of the floor structure where the parking spaces are located must meet the weight requirements of the immersion pool when fully loaded. Assuming that the weight of each immersion pool filled with water is 25 tons, the load-bearing capacity must be greater than this value.

[0036] In this embodiment, it is assumed that according to the above restrictions, 20 potential suppressed parking spaces are preliminarily determined, which are parking spaces No. 1, No. 2, No. 3, No. 4, No. 5, No. 6, No. 10, No. 12, No. 17, No. 21, No. 22, No. 26, No. 30, No. 33, No. 37, No. 41, No. 42, No. 43, No. 44, and No. 45 on the first floor.

[0037] Step 3: Construct an evaluation index system and calculate comprehensive evaluation indicators.

[0038] Specifically, for each potential parking space, a multi-dimensional evaluation index system is established, including: (1) Construction cost ): Considering land cost, equipment cost, installation cost, etc., the construction cost of the parking spaces at different locations is estimated. In this embodiment, it is assumed that the construction cost of each parking space is as shown in Table 1 below.

[0039] Table 1

[0040] For subsequent normalization, the construction cost index is calculated using the following formula: ; in, For the Potentially inhibiting the actual construction cost of parking spaces, The highest construction cost among all potential parking spaces (390,000 yuan). is the minimum construction cost (170,000 yuan). After substituting the values, we get the construction cost index of each parking space, as shown in Table 2 below.

[0041] Table 2

[0042] (2)Service efficiency ): Measures the number of parking spaces that a suppression parking space can serve, that is, the number of parking spaces to which the palletizer can transport vehicles on fire within the specified emergency response time.

[0043] In this embodiment, the shortest transportation time from each potential suppression parking space to all parking spaces needs to be calculated according to the specific size of the vehicle shell and the allowable speed of the palletizer. Finally, the number of parking spaces that can be covered by each potential suppression parking space within the maximum emergency response time of 50s is counted, as shown in Table 3 below.

[0044] Table 3

[0045] Calculate the service efficiency index of each potential suppressed parking space based on the number of covered parking spaces : ; The service efficiency index of each potential inhibited parking space is shown in Table 4 below.

[0046] Table 4

[0047] (3) Operational impact ): Evaluate the impact of the placement of suppressed parking spaces on normal traffic flow and parking space usage in the garage, and minimize the impact on garage operating efficiency.

[0048] In this embodiment, the average delay time caused by the suppressed parking spaces on the traffic flow is used to measure the operational impact. Assume that the operational delay time of each parking space is as shown in Table 5 below.

[0049] Table 5

[0050] The operational impact indicator is calculated using the following formula: ; in, For the The average delay time of traffic flow caused by potential inhibition parking spaces is: is the maximum allowed delay time (50s in this example). After substituting the values, we get the following Table 6.

[0051] Table 6

[0052] After normalizing the above three indicators, set the weight coefficient according to actual needs , , The comprehensive evaluation index of each potential inhibition parking space is obtained by weighted summation calculation .

[0053] In this embodiment, it is assumed that the weight coefficient (Construction cost), (Service efficiency), (Operational impact), the calculation results of the comprehensive evaluation indicators are shown in Table 7 below.

[0054] Table 7

[0055] Step 4: Screen the alternative berths.

[0056] Specifically, according to the comprehensive evaluation index ( ) Perform a preliminary screening of potential parking spaces, remove obviously unsuitable spaces, and obtain a set of candidate parking spaces. For example, an evaluation threshold can be set ,only Greater than Only potentially inhibited parking spaces will be selected as alternative parking spaces.

[0057] In this embodiment, it is assumed that the evaluation threshold is set , then 10 parking spaces 5, 6, 10, 17, 21, 26, 37, 41, 42 and 44 are selected as alternative parking spaces.

[0058] Step 5: Construct the objective function.

[0059] Specifically, based on the set of alternative berths, an optimization objective function is constructed, which includes three parts.

[0060] (1) Emergency Response Coverage Bonus ): Encouraging the layout of parking spaces to cover more parking spaces can reduce the risk of not being able to respond in time when a fire occurs. The calculation formula is: ; in, is the reward item weight, is the selected number of suppressed parking spaces, is the evaluation threshold.

[0061] (2) Penalty term for suppressing the number of parking spaces ( ): Considering the construction cost and service efficiency, the number of parking spaces should be minimized. The calculation formula is: ; in, is the reward item weight, The number of spaces to be suppressed.

[0062] (3) Penalty item for number of parking spaces not covered ( ): Penalize parking spaces that are not covered by suppressed parking spaces to further reduce fire risks. The calculation formula is: ; in, is the weight of the non-coverage penalty item, is the total number of parking spaces in the garage, The total number of parking spaces covered by the selected suppressed parking spaces.

[0063] The final objective function is: ; The goal of the present invention is to maximize the objective function Z.

[0064] Step 6: Use improved genetic algorithm to optimize the solution.

[0065] Specifically, an improved genetic algorithm is used to optimize the objective function, such as Figure 3 As shown, the algorithm steps are as follows: (1) Coding: Binary coding is used. Each individual (chromosome) is represented by a binary string, where each bit represents whether a potential suppressed parking space is selected. For example, in this embodiment, there are 3 potential suppressed parking spaces (No. 1, No. 4, No. 8), then an individual "101" means that parking spaces No. 1 and No. 8 are selected as suppressed parking spaces.

[0066] (2) Initial population generation: Randomly generate an initial population containing M individuals. In this embodiment, since there are only three potential inhibition parking spaces, in order to ensure the efficiency of the algorithm, the initial population size M can be set to a smaller value, such as M=5.

[0067] (3) Fitness function: The fitness function value of an individual directly adopts the value of the objective function Z. That is: ; in, Indicates The fitness value of an individual, Indicates The objective function value corresponding to the individual.

[0068] (4) Roulette Wheel Selection method is used. The probability of each individual being selected is proportional to its fitness value. The specific calculation formula for the probability of being selected is as follows: ; (5) Crossover operation: Single-point crossover is used. Two parent individuals are randomly selected, and a crossover point is randomly selected. The gene fragments after the crossover point of the two parent individuals are exchanged to generate two new offspring individuals. The crossover operation has a certain probability In this embodiment Set to 0.9.

[0069] (6) Mutation operation: Use basic bitwise mutation. For each gene of each individual, Mutation (0 becomes 1, 1 becomes 0). Set to 0.05.

[0070] In order to increase the diversity of the population and avoid premature convergence of the algorithm, a mutation operation based on neighborhood search is proposed here: Trigger neighborhood search mutation with a certain probability (such as 0.1). For the selected mutation individual, randomly select an unselected potential inhibition parking space (if any) and add it to the layout plan of the individual. Calculate the fitness value of the individual after adding the new parking space. If the fitness value is improved, accept this mutation; otherwise, accept the worse solution with a certain probability (such as 0.5).

[0071] (7) Elite retention strategy: In order to avoid the loss of the optimal solution during the evolution process, the elite retention strategy is adopted. The individuals with the highest fitness in each generation are directly copied to the next generation.

[0072] (8) Dynamic parameter adjustment, including: Dynamic crossover probability: Crossover probability It gradually decreases with the increase of the number of iterations. The initial value is set to 0.9, and after a certain number of generations (for example, 10 generations), = * Attenuation factor (e.g. 0.95).

[0073] Dynamic mutation probability: mutation probability It gradually increases with the number of iterations. The initial value is set to 0.05, and after a certain number of generations (for example, 10 generations), = * Growth factor (e.g. 1.05), with an upper limit of 0.2.

[0074] The specific implementation process of the improved genetic algorithm is as follows: (Continuing the above example of selecting 10 potential inhibition parking spaces) (1) Parameter settings: population size M = 20; maximum number of iterations ; ; Initial crossover probability , attenuation coefficient 0.95; initial mutation probability , growth coefficient 1.05, upper limit 0.2; Neighborhood search mutation trigger probability: 0.1; Acceptance of poor solution probability: 0.5; Weight coefficient: , , , .

[0075] (2) Initialize the population: Generate 20 individuals randomly. For example: Individual 1: "1000110101" means that parking spaces 5, 21, 26, 41 and 44 are selected as suppressed parking spaces (the first position represents 5, the second position represents 6, the third position represents 10, the fourth position represents 17, the fifth position represents 21, the sixth position represents 26, the seventh position represents 37, the eighth position represents 41, the ninth position represents 42, and the tenth position represents 44. '1' means selected, and '0' means unselected) Individual 2: "0100000000" means selecting parking space 6 as the suppressed parking space.

[0076] Individual 3: "0000000001" means selecting parking space 44 as the suppressed parking space.

[0077] … (3) Calculate fitness: According to the code of each individual, calculate its corresponding value, and used as the fitness value of the individual (4) Iterative evolution (selection, crossover, mutation, elite retention): Selection: Based on the roulette wheel selection method, 10 individuals are selected to enter the next generation.

[0078] Crossover: With probability Perform single-point crossover on the selected individuals.

[0079] Mutation: By probability The basic position of the individual is mutated, and the neighborhood search mutation is triggered with a probability of 0.1.

[0080] Elite retention: The individuals with the highest fitness in the current population are directly copied to the next generation.

[0081] (5) Dynamic adjustment: Update according to the number of iterations and .

[0082] (6) Termination condition judgment: If the maximum number of iterations, 100, is reached, or the optimal solution has not been improved for 10 consecutive generations, the iteration is stopped.

[0083] (7) Output result: If the optimal solution is "1000110101", parking spaces 5, 12, 21, 26, and 41 are selected as lithium battery fire suppression parking spaces.

[0084] Through the above improved genetic algorithm, the final lithium battery fire suppression parking space layout scheme can be obtained, such as Figure 4 shown.

[0085] Based on the same inventive principle, an embodiment of the present invention also provides a battery fire suppression parking space layout device for a new energy multi-story parking garage, comprising a memory and one or more processors, wherein the memory stores executable code, and when one or more processors execute the executable code, it is used to implement the battery fire suppression parking space layout method mentioned in the above embodiment.

[0086] Based on the same inventive principle, an embodiment of the present invention further provides a battery fire suppression parking space layout device for a new energy stereo garage, comprising: An input module is used to receive the three-dimensional model data of the stereo garage and construct a garage space model; A storage module is used to store data such as a garage space model, a set of potential lithium battery fire suppression parking spaces, a comprehensive evaluation index for each potential parking space, screened candidate parking spaces, and a constructed optimization objective function; A calculation module is used to determine the location set of potential lithium battery fire suppression parking spaces; to calculate the comprehensive evaluation index of each potential parking space; to select candidate parking spaces according to the comprehensive evaluation index; to construct an optimization objective function and solve the objective function using an improved genetic algorithm to obtain an optimal layout solution; The output module is used to output the finalized lithium battery fire suppression parking space layout plan.

[0087] The present invention establishes a multi-dimensional evaluation system, comprehensively considers construction costs, service efficiency and operational impact, and makes the layout of lithium battery fire suppression parking spaces in the stereo garage more scientific and reasonable. At the same time, the improved genetic algorithm adopted can effectively avoid falling into local optimality through methods such as dynamic parameter adjustment, elite retention strategy, and neighborhood search mutation, thereby ensuring global optimization capability and solution efficiency. The final layout scheme minimizes construction and operation costs while meeting fire safety requirements.

[0088] The method proposed in the present invention is not only applicable to newly built stereo garages, but can also be used for fire protection renovation and upgrading of existing stereo garages. By evaluating and optimizing the existing conditions of the garage, the optimal location and number of lithium battery fire suppression parking spaces can be quickly and accurately determined, providing a strong guarantee for the safe operation of new energy stereo garages. In addition, the method proposed in the present invention has a certain degree of versatility. After appropriate modification, it can also be used for other types of facilities, such as large warehouses, logistics centers, etc., to optimize the layout of fire protection facilities.

[0089] The embodiments described above provide a detailed description of the technical solutions and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not intended to limit the present invention. Any modifications, supplements and equivalent substitutions made within the scope of the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A battery fire suppression parking space layout method for a new energy stereo garage, characterized in that: The following steps are involved: (1) Conduct three-dimensional modeling of the stereo garage to obtain a garage space model, including parking space layout, traffic path network, and operation parameters; (2) Based on the garage space model, determine a location set of potential lithium battery fire suppression parking spaces, where the potential lithium battery fire suppression parking spaces meet preset restriction conditions; (3) Establish an evaluation index system for potential lithium battery fire suppression parking spaces and calculate the comprehensive evaluation index for each potential lithium battery fire suppression parking space; (4) Based on the comprehensive evaluation indicators, potential lithium battery fire suppression parking spaces are screened to obtain alternative parking spaces; (5) Construct an objective function based on the emergency response coverage, comprehensive evaluation indicators and quantity distribution of each alternative berth; (6) The objective function is optimized using an improved genetic algorithm to obtain the lithium battery fire suppression parking space layout plan and the corresponding number of lithium battery fire suppression parking spaces.

2. The battery fire suppression parking space layout method of the new energy stereo garage according to claim 1 is characterized in that: In step (2), the preset restriction conditions include: being located on the first floor of the multi-story parking garage, having space to accommodate immersion pool facilities, meeting fire passage requirements, having water supply and drainage conditions, and being located in a structural load-bearing safety area.

3. The battery fire suppression parking space layout method of the new energy stereo garage according to claim 1 is characterized in that: In step (3), an evaluation index system for potential lithium battery fire suppression parking spaces is established. The specific process is as follows: Based on the construction cost of each potential lithium battery fire suppression parking space, determine the construction cost index: ； in, No. The actual construction cost of a potential lithium battery fire suppression parking space, and Respectively represent the maximum and minimum construction costs of all potential parking spaces; Based on the number of parking spaces that each potential lithium battery fire suppression parking space can serve, determine the service efficiency index: ； in, Indicates The number of parking spaces that can be covered by potential lithium battery fire suppression parking spaces, Indicates the total number of parking spaces in the garage; Based on the impact of the potential lithium battery fire suppression parking space location on the traffic flow in the garage and the use of the parking space, the operational impact indicators are determined: ； in, Indicates The average delay time of traffic flow caused by potential lithium battery fire suppression parking spaces, The maximum allowed delay time threshold.

4. The battery fire suppression parking space layout method of the new energy stereo garage according to claim 3 is characterized in that: In step (3), the comprehensive evaluation index of each potential lithium battery fire suppression parking space is calculated. The specific process is as follows: Based on the preset weights, the normalized construction cost index, service efficiency index and operation impact index are weighted and summed to obtain a comprehensive evaluation index. The formula is: ； in, , , are the weight coefficients of construction cost index, service efficiency index and operation impact index respectively, and satisfy .

5. The battery fire suppression parking space layout method of the new energy stereo garage according to claim 1 is characterized in that: In step (5), the objective function is expressed as: ； in, Indicates the bonus item based on emergency response coverage of alternative berths, represents the penalty item based on the total number of parking spaces suppressed by lithium battery fires, represents the penalty term based on the number of uncovered parking spaces; , , The formula is as follows: ； ； ； in, are the weight coefficients of reward, quantity penalty and non-coverage penalty respectively, Indicates Comprehensive evaluation index of potential lithium battery fire suppression parking spaces, is the evaluation threshold, To reduce the number of parking spaces, Indicates the total number of parking spaces in the garage. is the total number of covered parking spaces.

6. The battery fire suppression parking space layout method of the new energy stereo garage according to claim 1 is characterized in that: In step (6), the specific steps of improving the genetic algorithm are: Initialize the population: randomly generate a group of initial individuals, each of which represents a lithium battery fire suppression parking space layout scheme; Calculate fitness: Calculate the fitness value of each individual according to the objective function; Selection: Roulette selection operator is used to select individuals based on their fitness values. Individuals with higher fitness have a greater probability of being selected. Crossover: Perform a single-point crossover operation on the selected individuals to generate new individuals; Mutation: Perform random mutation operations on newly generated individuals; Elite retention: directly copy the individuals with the highest fitness in the previous generation to the next generation; Dynamic parameter adjustment: dynamically adjust the crossover probability and mutation probability according to the evolution of the population; Termination condition: The algorithm is terminated when the maximum number of iterations is reached or the fitness value meets the requirements.

7. The battery fire suppression parking space layout method of the new energy stereo garage according to claim 1 is characterized in that: In step (6), after obtaining the lithium battery fire suppression parking space layout plan, the method further includes: generating a guidance drawing for the construction and implementation of the lithium battery fire suppression parking space; and performing emergency response time simulation verification on the lithium battery fire suppression parking space layout plan to ensure that the fire extinguishing time requirements are met.

8. A battery fire suppression parking space layout device for a new energy stereo garage, characterized in that: The method comprises a memory and one or more processors, wherein the memory stores executable codes, and when the one or more processors execute the executable codes, the method is used to implement the battery fire suppression parking space layout method according to any one of claims 1 to 7.

Images