Fireproof design method and device

Abstract

The invention provides a fireproof design method and device which are suitable for plant phenotypic facility or indoor facility agriculture, and the method comprises the steps: determining the safety distance of each functional region based on critical radiation heat simulation; according to the safety distance, the fire scale of each functional area under the most unfavorable working condition is obtained by combining the characteristics of combustible materials in each functional area or through analogue simulation; calculating a fire probability prediction value of each functional area under different second-class hazard sources and a fire loss prediction value under different fire scales, and evaluating a fire risk evaluation level of each functional area through the risk matrix; and in combination with the fire scale, the fire risk evaluation grade and the safety distance, matching fire prevention control measures corresponding to each functional area. The method can effectively improve the fireproof control of plant phenotypic facility or indoor facility agriculture, and achieves the real-time monitoring and prediction functions of fire risks.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of fire warning, in particular to a fireproof design method and device suitable for plant phenotyping facilities or indoor facility agriculture. BACKGROUND

[0002] Modern plant phenotyping facilities and indoor facility agriculture, as two important emerging industry formats of modern agriculture, have developed rapidly in recent years driven by the promotion of precision agriculture technology and the demand for efficient agricultural production. Their scale is expanding, test instruments are becoming more diverse, functional rooms are becoming more complex, and robot unmanned operation mode is gradually replacing manual operation, which has increased the risk and danger of fire.

[0003] If plant phenotyping facilities or indoor facility agriculture are considered as buildings, the applicability of existing building fireproof design related specifications is insufficient, and the proposed fire safety facilities and measures far exceed the fire safety needs of plant phenotyping facilities or indoor facility agriculture, with low economic adaptability. The process requirements of plant phenotyping facilities or indoor facility agriculture are complex, and the continuity of material flow and the lighting transparency requirements of planting areas make it difficult to install conventional fire safety facilities. Based on this, the present application considers setting fire safety measures for plant phenotyping facilities or indoor facility agriculture. SUMMARY

[0004] In view of the deficiencies of the prior art, the present application provides a fireproof design method and device, which is suitable for fire control of modern plant phenotyping facilities or indoor facility agriculture.

[0005] In one aspect, the present application provides a fireproof design method suitable for modern plant phenotyping facilities or indoor facility agriculture, comprising:

[0006] determining the safety distance of each functional area based on critical radiant heat simulation modeling;

[0007] obtaining the fire size of each functional area under the most unfavorable working condition according to the safety distance, in combination with the characteristics of combustible materials in each functional area or through simulation modeling;

[0008] calculating the fire probability prediction value of each functional area under different second type of hazard sources and the fire loss prediction value under different fire sizes, and evaluating the fire risk evaluation grade of each functional area through a risk matrix;

[0009] matching the corresponding fireproof control measures of each functional area in combination with the fire size, the fire risk evaluation grade, and the safety distance.

[0010] In an embodiment of the present application, matching the corresponding fireproof control measures of each functional area in combination with the fire size, the fire risk evaluation grade, and the safety distance comprises:

[0011] Passive fire control measures are set up based on the safety distance and fire scale. If a functional area meets the safety distance requirements, and the fire hazard level is lower than the low fire hazard level, and the fire load density is less than the preset low load threshold, then passive fire control measures are adopted.

[0012] If a functional area does not meet the safety distance requirements, or the fire hazard level is not lower than the low fire hazard level, or the fire load density is greater than or equal to the preset low load threshold, a combination of passive fire prevention and control measures and active fire prevention and control measures shall be adopted.

[0013] In one embodiment of the present invention, the first type of hazard sources in each functional area are counted to determine the fire hazard level of each functional area;

[0014] The combustible material characteristics of each functional area are statistically analyzed, and the fire load density of each functional area is calculated.

[0015] In one embodiment of the present invention, the functional area includes at least a planting category room and a robot category room;

[0016] The safe distance includes the distance between adjacent robots in the room containing the robot category;

[0017] If the plant type in the planting room is a plant with a dry period, such as a grain crop, then the safety distance also includes: the spacing between rows of plants in the planting area of ​​the planting room, the spacing between individual plants, the distance between the robot and the planting area when the robot is not in operation, and the critical radiation distance for ignition of adjacent plants after the robot battery catches fire.

[0018] If the plant type in the planting room is a plant that does not have a drying period, such as vegetables with high water content, then the safety distance also includes: the spacing between rows of plants in the planting area of ​​the planting room, the spacing between individual plants, and the spacing between the robot and the planting area when not in operation.

[0019] In one embodiment of the present invention, an environmental simulation chamber with multiple cultivation forms is used as a planting category room, and the safety distance corresponding to each cultivation form is simulated and calculated. The multiple cultivation forms include planting pot cultivation form and nutrient solution pipeline cultivation form.

[0020] In one embodiment of the present invention, the fire scale of each functional area under the most unfavorable working condition is calculated based on the safety distance and the characteristics of combustibles within each functional area, including:

[0021] Configure the spatial range for fire spread based on the aforementioned safety distance;

[0022] Within the specified spatial range, simulation parameters are selected using the most unfavorable principle. These simulation parameters include plant species, calorific value of combustion at different growth stages, oil content, and water content.

[0023] Statistical analysis of the combustible properties of each functional area;

[0024] Based on the characteristics of the combustible material and the simulation parameters, the fire scale of each functional area under the most unfavorable working conditions is calculated.

[0025] In one embodiment of the present invention, the predicted fire probability value of each functional area under different Class II hazard sources and the predicted fire loss value under different fire scales are calculated, and the fire risk assessment level of each functional area is evaluated through a risk matrix, including:

[0026] Based on the ratio of the annual number of fire incidents to the number of equipment in each functional area, the predicted fire probability value of each functional area under different Class II hazard sources is calculated, and multiple fire probability evaluation levels are divided.

[0027] Based on the proportion of fire property loss to facility research funding in each functional area, the predicted fire loss value for each functional area is calculated, and multiple fire loss assessment levels are divided.

[0028] The fire probability assessment level and the fire loss assessment level are input into a two-dimensional risk matrix, and the intersection point is determined as the fire risk assessment level of the functional area.

[0029] Another aspect of the present invention provides a fire-resistant design device suitable for plant phenotyping facilities or indoor facility agriculture, comprising:

[0030] The safety distance calculation module is used to determine the safety distance of each functional area of ​​the plant phenotypic facility based on critical radiative heat simulation.

[0031] The fire scale determination module is used to obtain the fire scale of each functional area under the most unfavorable working conditions based on the safety distance, combined with the characteristics of combustibles in each functional area, or through simulation.

[0032] The fire risk assessment module is used to calculate the predicted fire probability value of each functional area under different Class II hazard sources and the predicted fire loss value under different fire scales, and to assess the fire risk evaluation level of each functional area through the risk matrix.

[0033] The fire prevention measures matching module is used to combine the fire scale, the fire risk assessment level, and the safety distance to match the corresponding fire prevention control measures for each functional area.

[0034] In one embodiment of the present invention, the fire protection measure matching module is further configured to:

[0035] Passive fire control measures are set up based on the safety distance and fire scale. If a functional area meets the safety distance requirements, and the fire hazard level is lower than the low fire hazard level, and the fire load density is less than the preset low load threshold, then passive fire control measures are adopted.

[0036] If a functional area does not meet the safety distance requirement, or the fire hazard level is not lower than the low fire hazard level, or the fire load density is greater than or equal to the preset low load threshold, then a combination of passive fire prevention and control measures and active fire prevention and control measures shall be adopted.

[0037] In one embodiment of the present invention, the fire risk assessment module is further configured to:

[0038] Based on the ratio of the annual number of fire incidents to the number of equipment in each functional area, the predicted fire probability value of each functional area under different Class II hazard sources is calculated, and multiple fire probability evaluation levels are divided.

[0039] Based on the proportion of fire property loss to facility research funding in each functional area, the predicted fire loss value for each functional area is calculated, and multiple fire loss assessment levels are divided.

[0040] The fire probability assessment level and the fire loss assessment level are input into a two-dimensional risk matrix, and the intersection point is determined as the fire risk assessment level of the functional area.

[0041] As can be seen from the above solutions, the advantages of the present invention are:

[0042] This invention provides a fire protection design method applicable to plant phenotyping facilities or indoor facility agriculture. Considering the low fire load density and low fire risk characteristics of these facilities, the method determines the safe distances of each functional area based on critical radiative heat simulation. It calculates the fire scale of each functional area under the most unfavorable conditions by combining the characteristics of combustibles within each area. The method also calculates the predicted ignition probability and fire loss for each functional area under different Class II hazard sources, and assesses the fire risk evaluation level of each functional area. This method can adaptively match different fire control measures, prioritizing passive fire control measures, and further adding active fire control measures when requirements are not met, significantly reducing the engineering costs and impact on process requirements associated with active fire prevention. Attached Figure Description

[0043] Figure 1 A schematic diagram of the overall process of a fire-resistant design method for plant phenotyping facilities or indoor facility agriculture provided by an embodiment of the present invention is shown.

[0044] Figure 2 It showsFigure 1 A detailed flowchart of step S3;

[0045] Figure 3 It shows Figure 1 A detailed flowchart of step S4;

[0046] Figure 4 A structural block diagram of a fire-resistant design device provided in an embodiment of the present invention is shown.

[0047] The attached figures are labeled as follows:

[0048] 300: Fire-resistant design device;

[0049] 310: Safe distance calculation module;

[0050] 320: Fire scale determination module;

[0051] 330: Fire Risk Assessment Module;

[0052] 340: Fire prevention measures matching module. Detailed Implementation

[0053] It should be noted that, in this application, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0054] In the absence of further restrictions, an element defined by the phrase "comprising a..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0055] See Figure 1 As shown, Figure 1 This diagram illustrates the overall flow of a fire-resistant design method for plant phenotyping facilities or indoor facility agriculture, provided by an embodiment of the present invention.

[0056] Plant phenotyping facilities are a new type of scientific research and production support facility that integrates precision agriculture technology. They are equipped with sensing devices such as hyperspectral imaging, RGB cameras, and lidar, and are combined with operation robots and automated cultivation systems to achieve non-contact monitoring of plants throughout their entire life cycle.

[0057] Indoor facility agriculture, similar to plant phenotyping, is a method of agricultural production conducted in a closed environment, minimizing its impact on the external environment. Indoor facility agriculture requires extensive greenhouse, irrigation, and ventilation systems, as well as advanced equipment such as robots and automated cultivation systems to ensure control, monitoring, and management of crops.

[0058] Regarding fire protection for plant phenotyping facilities and indoor facility agriculture, this invention provides a fire-resistant design method applicable to plant phenotyping facilities or indoor facility agriculture, the method comprising the following steps:

[0059] Step S1: Determine the safe distances of each functional area of ​​plant phenotyping facilities or indoor facility agriculture based on critical radiative heat simulation.

[0060] In one embodiment, the functional areas include a planting category room, a robot category room where robots are parked, charged, and ready for operation, a phenotypic data acquisition room, an integrated water and fertilizer equipment room, a data acquisition and transmission control room, an air conditioning room, an electrical room, and a power distribution room.

[0061] Taking the cultivation of plant phenotypic facilities as an example, the environmental simulation chamber is constructed mainly by cultivation methods such as nutrient solution pipeline cultivation and planting pot cultivation. The safe distance corresponding to each cultivation method is calculated by simulation. The plant planting density is much lower than that of conventional outdoor planting. Therefore, the fire will not spread as quickly as a fire in conventional planting land. In one embodiment, based on the critical radiative heat simulation, the safe distance of each functional area of ​​the plant phenotypic facility is calculated by the critical radiative heat formula, which is shown in equation (1).

[0062] (1)

[0063] In the formula, This represents the unit radiant heat flux to the target combustible material, in kW / m³. 2 ; The total radiative heat flux of a flame is expressed in kW. Indicates the safe distance from the target flammable material; This represents thermal radiation efficiency, which ranges from 0.2 to 0.6 depending on the type of fuel. For general combustibles, the thermal radiation efficiency is... One-third of the energy from the fire source is emitted as thermal radiation. This represents the total heat release rate of the heat source, expressed in kW.

[0064] Based on the different combustible materials, the safe distance of each functional area is calculated using the above critical radiant heat formula.

[0065] For planting rooms, if the plants grown in these rooms are those with a drying period, such as grain crops and flowers, the safety distance also includes: the spacing between rows of plants and between individual plants within the planting area of ​​the planting room; the distance between the robot and the planting area during non-operational periods; and the critical radiation distance for ignition of adjacent plants after the robot's battery catches fire. In this case, fire can spread in the planting room, especially during the crop drying period; the safety distance at this time is the fire prevention distance. The setting of safety distances must consider not only ensuring space for crop growth and robot operation (movement and management), but also the distance for controlling the spread of fire. All of the above safety distances are calculated using the aforementioned critical radiant heat formula, depending on the target combustible material. R can represent the spacing between rows of plants, the spacing between individual plants, the distance between the robot and the planting area during non-operational periods, and the critical radiation distance for ignition of adjacent plants after the robot's battery catches fire.

[0066] If the plants grown in the planting room are those without a drying period, such as high-water-content vegetables like cabbage, then the safety distance also includes: the spacing between rows of plants and between individual plants within the planting area of ​​the planting room, as well as the distance between the robot and the planting area during non-operational phases. In this case, since the water content of vegetables is typically greater than 70%, fire spread will not occur in the planting room. The safety distance here is the operational spacing; that is, the spacing between rows of plants and between individual plants within the planting area provides space for vegetable growth and robot operation (movement and management), and is a functional spacing necessary for daily operation. The distance between the robot and the planting area during non-operational phases is for robot parking and to avoid interfering with the normal operation of the planting area. In this case, the safety distance setting for the planting room is no longer determined based on the aforementioned critical radiative heat formula. It should be noted that the actual safety distance settings are different for plants without a drying period and for plants with a drying period.

[0067] In a specific application, for potted plant cultivation, each potted plant is considered an independent individual, and the spacing between plants is the same as the spacing between individual potted plants; the spacing between plant rows is the shortest distance between individual potted plants in the same column of two adjacent rows of potted plants.

[0068] For nutrient solution pipeline cultivation, the plant spacing is too close due to process requirements, and the spacing between plants cannot meet the critical radiant heat distance. To address this, plants of a certain length, not exceeding two rows, are grouped into a single plant group, and each group is treated as an independent individual. The spacing between individual plants is the same as the spacing between plants in a single group; the spacing between rows is the shortest distance between single groups of plants in the same column of two adjacent rows.

[0069] For rooms housing robots, the lithium iron phosphate batteries used in various rechargeable robots are classified as a Class I and II hazardous source, meaning they are both flammable and ignition sources. Since thermal runaway caused by short circuits, overcharging, and over-discharging cannot be completely avoided, there is still a certain probability of fire. The critical unit radiative heat flux of the ABS plastic used for the robot's shell is 19 kW / m². 2 Based on the critical radiative heat formula (1), the critical radiative heat radius R1 around the AMR robot during combustion is calculated to be 0.45m. Therefore, lithium battery combustion is divided into stages such as heat accumulation, gas generation and pressure rise, casing rupture and open flame appearance, chain reaction propagation, continuous ignition and reignition. After the casing ruptures, the combustible gas is ignited and ejected, creating a high-temperature area over a considerable distance. A critical radiative radius of 0.45m is insufficient to ensure that the flame does not smolder around the combustibles during this stage. Therefore, in one embodiment, due to the gas combustion ejection effect of the battery, the unit radiative heat flux to the target combustible at 0.6m from the side of the burning electric vehicle can reach 24.67kW / m². 2 Based on the unit radiative heat flux at this point, combined with the critical radiative heat formula (1), the critical radiative heat distance R2 of the robot is calculated to be 0.68m. Considering the safety factor, the distance between adjacent robots in the running or charging state is set to be greater than the critical radiative heat distance R2 of the robot, for example, it is set to 1m.

[0070] In this embodiment, the robot system can monitor the safe distance between the robot and different combustibles in real time, such as the distance between the robot and the planting area during non-operation phases, the critical radiation distance for ignition of adjacent plants after the robot's battery catches fire, etc. This data is used for real-time fire risk assessment.

[0071] Step S2: Based on the safety distance, and combined with the characteristics of combustibles in each functional area, or through simulation, obtain the fire scale of each functional area under the most unfavorable working conditions.

[0072] This study analyzes the different calorific values ​​of different plant species at different growth stages based on their moisture and oil content, and selects the plant species and growth stages for the most unfavorable fire conditions. The most unfavorable principle includes the following: different plant species at different growth stages have different calorific values, with higher calorific values ​​being more unfavorable; different plant species at different growth stages have different oil contents, with higher oil contents being more unfavorable; and different plant species at different growth stages have different moisture contents, with lower moisture contents being more unfavorable.

[0073] Specifically, in one embodiment, the spatial range of fire spread is configured according to the safety distance. The maximum boundary of the fire spread spatial range must be strictly controlled within the safety distance. For example, an initial spatial range is defined with the target as the center and the safety distance as the boundary. The fire spread speed and area are controlled by the safety distance to limit the fire scale. Within the spatial range, simulation parameters are selected using the most unfavorable principle. The simulation parameters include plant species, calorific value of combustion at the growth stage, oil content, and water content. The combustible characteristics of each functional area are statistically analyzed, including combustible species, quantity and mass of each type of combustible, and calorific value. Based on the combustible characteristics and simulation parameters, the fire scale of each functional area under the most unfavorable condition is calculated through theoretical calculations, simulations, or actual fire tests. In practice, by acquiring the growth status and species changes of plants within the planting area, the fire scale under the current condition (not the most unfavorable condition) is continuously calculated and combined with the fire scale under the most unfavorable condition for real-time fire risk assessment.

[0074] Step S3: Calculate the predicted fire probability value of each functional area under different Class II hazard sources and the predicted fire loss value under different fire scales. Evaluate the fire risk assessment level of each functional area through the risk matrix to achieve real-time monitoring and prediction of fire risk.

[0075] In one embodiment, reference Figure 2 As shown, Figure 2 A schematic diagram of the specific process for step S3 is shown.

[0076] Step S31: Based on the ratio of the annual number of fire incidents to the total number of equipment in each functional area, calculate the predicted fire probability value for each functional area under different Class II hazard sources, and classify multiple fire probability assessment levels. The predicted fire probability value is expressed as:

[0077] Q1=f / X (2)

[0078] In the formula, Q1 represents the predicted fire probability; X is the equipment inventory or the number of buildings containing this type of functional area; f represents the annual number of fire incidents involving the equipment or the annual number of fire incidents involving this type of functional area.

[0079] In one embodiment, as shown in Table 1, the fire probability assessment level is divided into several levels: unlikely, occasional, possible, and frequent.

[0080] Table 1 Fire Probability Assessment Levels

[0081]

[0082] Step S32: Calculate the predicted fire loss value for each functional area based on the proportion of fire property loss to facility research funding, and classify multiple fire loss assessment levels.

[0083] Based on the proportion of fire property loss to facility research funding in each functional area, the predicted fire loss for each functional area is calculated using the following formula:

[0084] Q2=((A*s1+∑s2) / S)×100% (3)

[0085] In the formula, Q2 represents the predicted fire loss, and A is the fire-affected area of ​​the functional zone (m²). 2 ), s1 represents the fire-damaged area loss per unit room (yuan / m²) 2 ), s2 is the value of the burned equipment (yuan); (A*s1+∑s2) is the property loss from the fire, and S is the facility research funding.

[0086] In one embodiment, as shown in Table 2, the fire loss assessment level is divided into several levels: very minor, minor, moderate, major, and catastrophic.

[0087] Table 2 Fire Loss Assessment Levels

[0088]

[0089] Step S33: Input the fire probability assessment level and the fire loss assessment level into the two-dimensional risk matrix, and determine the intersection point as the fire risk assessment level of the functional area.

[0090] In one embodiment, as shown in Table 3, the fire risk assessment level is divided into several levels: low risk, relatively low risk, medium risk, and high risk.

[0091] Table 3 Fire Risk Assessment Levels

[0092]

[0093] Step S4: Based on the fire scale, the fire risk assessment level, and the safety distance, match the corresponding fire prevention and control measures for each functional area.

[0094] In one embodiment, such as Figure 3 As shown, Figure 3 A flowchart of step S4 is shown.

[0095] Step S41: Based on the safety distance and fire scale of each functional area, set up passive fire prevention and control measures. If a functional area meets the safety distance requirements, and the fire hazard level is lower than the low fire hazard level, and the fire load density is less than the preset low load threshold, then passive fire prevention and control measures shall be given priority.

[0096] In one embodiment, the primary hazards in each functional area are statistically analyzed to determine the fire hazard level of the main items in each functional area. The primary hazards include several categories such as A, B, C, D, and E, with the hazard level decreasing sequentially from A to E. By statistically analyzing the primary hazards in each functional area, the fire hazard level of the main items in each functional area is classified, for example, into three levels: low, medium, and high fire hazard.

[0097] In one embodiment, the combustible characteristics of each functional area are statistically analyzed, and the fire load density of each functional area is calculated using the fire load density method. In practical applications, fire load density is the total heat of combustibles contained per unit building area, a key indicator for measuring building fire risk, reflecting the duration of the fire, peak temperature, and severity. By statistically analyzing the combustible characteristics of each functional area, including the types of combustibles, the quantity and mass of each type of combustible, and the calorific value of the combustibles, the total heat of all combustibles in each functional area is calculated, yielding its fire load:

[0098]

[0099] in, Let be the mass of the i-th combustible material, in kg; Let be the calorific value of the i-th combustible material, in MJ / kg; Fire load.

[0100] Further calculation of fire load density is as follows:

[0101]

[0102] in, Fire load density, MJ / m²; Let m be the area of ​​each functional area.

[0103] Passive fire control measures are implemented based on the safety distances and fire scale of each functional area. If a functional area meets the safety distance requirements, and its fire hazard level is lower than the low fire hazard level, and its fire load density is less than a preset low load threshold, passive fire control measures are prioritized. These passive fire control measures, such as fire compartmentation, partitioning, and fire-resistant construction, are used to limit the spread of fire.

[0104] In one specific implementation, for rooms with planting applications, passive fire control measures are implemented as follows: In the environment simulation chamber for potted plant cultivation, a safe distance of no less than 0.8m is maintained between individual potted plants; a safe distance of no less than 1.5m is maintained between each row of crops; and the robot maintains a safe distance of 0.8m from the planting area during non-operational phases. In the environment simulation chamber for nutrient solution pipeline cultivation, a safe distance of no less than 1.5m is maintained between each group of crops; each group of crops has no more than two nutrient solution pipes, with a length of less than 10m; and the robot maintains a safe distance of 0.8m from the planting area during non-operational phases.

[0105] The planting area of ​​the planting room is determined by simulation or physical fire test to determine the fire scale under the most unfavorable working conditions, plant varieties and growth stages, and a continuous planting area is set at a fire scale lower than the preset safe fire scale threshold.

[0106] For robot-type rooms, the interior is divided into three parts: robot standby area, charging area, and maintenance area. Passive fire control measures are implemented as follows: each area is kept at a safe distance of not less than 2.5m; robots in the robot standby area are kept at a safe distance of 1m; charging positions are kept at a safe distance of not less than 1m, and a Class A fire-resistant partition with a height of not less than 1m and a width covering the charging position is installed between every two charging positions.

[0107] Step S42: If a functional area does not meet the safety distance requirement, or the fire hazard level is not lower than the low fire hazard level, or the fire load density is greater than or equal to the preset low load threshold, a combination of passive fire prevention and control measures and active fire prevention and control measures shall be adopted.

[0108] In one specific implementation, if the room for planting does not meet the required safe distance, or if the fire hazard level of the functional area is higher than the low fire hazard level, or if the fire load density is greater than or equal to the preset low load threshold, active fire prevention measures are added on the basis of passive fire prevention control measures.

[0109] Active fire prevention measures include installing fire extinguishing facilities and fire alarm systems. Fire extinguishing facilities include automatic fire suppression systems, indoor fire hydrants, fire hoses, and fire extinguishers. Automatic fire suppression systems include automatic sprinkler systems and high-pressure water mist systems. For example, fire extinguishing facilities are installed in the power distribution room, substation, and data acquisition equipment area within plant phenotyping facilities; automatic fire suppression systems are installed in rooms housing robots. Fire alarm systems include automatically triggered fire broadcast alarms, remote alarms, and audible and visual alarms, as well as manually triggered manual alarms.

[0110] Furthermore, in a specific implementation, fire prevention and control can be further strengthened in conjunction with basic fire-fighting measures. These basic fire-fighting measures include control measures for Class I and Class II hazard sources. Specifically, these measures include reducing Class I hazard sources by using non-combustible, flame-retardant, or fire-resistant modified materials for combustibles. Controlling Class II hazard sources includes prohibiting the use of open flames, smoking, and bringing ignition sources into the facility; increasing electrical safety measures, such as electrical fire monitoring systems, arc fault monitoring systems, overload protection devices, low-smoke halogen-free flame-retardant cables, and safety sockets; implementing measures to prevent frictional heat generation and ignition sparks on equipment that may generate heat through mechanical friction, such as centralized procurement trusses and robotic arms; avoiding the lens effect by using diffusing glass in glass enclosures and reducing the placement of mirrored items indoors; implementing lightning protection and grounding measures in the overall facility design; and providing regular safety training for staff.

[0111] In this embodiment, fire prevention and control measures are matched to each functional area based on the fire scale, fire risk assessment level, and safety distance. During facility operation, daily fire inspection plans are adjusted by assessing and monitoring real-time fire risks, achieving a fire early warning effect.

[0112] Furthermore, in one embodiment, a fire evacuation simulation is conducted. Based on the distribution data of personnel in the facility, an evacuation simulation model is established, and the most unfavorable evacuation location and a room with a high fire scale are selected as simulation scenarios. The available evacuation time and the time of danger arrival are simulated and calculated. The available evacuation time is the sum of the detection alarm time, the personnel pre-action time, and the walking time. The time of danger arrival is determined by comprehensively considering the smoke temperature, visibility, and toxic gas concentration. When the available evacuation time is greater than the time of danger arrival, the evacuation is deemed safe and effective.

[0113] In summary, the fire protection design method for plant phenotyping facilities or indoor facility agriculture provided by this invention addresses the characteristics of low fire load density and low fire risk in plant phenotyping facilities or indoor facility agriculture. It determines the safe distances of each functional area of ​​the plant phenotyping facility based on critical radiative heat simulation; it obtains the fire scale of each functional area under the most unfavorable conditions by combining the characteristics of combustibles within each functional area or through simulation; it calculates the predicted ignition probability and fire loss values ​​of each functional area under different Class II hazard sources, and assesses the fire risk evaluation level of each functional area. This method can adaptively match different fire prevention and control measures, prioritizing passive fire prevention and control measures, and further adding active fire prevention and control measures when requirements are not met, significantly reducing the engineering costs and impact on process requirements brought about by active fire prevention.

[0114] The following are device embodiments corresponding to the above method embodiments, such as... Figure 4 As shown, Figure 4A schematic diagram of a fire-resistant design device for plant phenotyping facilities or indoor facility agriculture provided by an embodiment of the present invention is shown.

[0115] A fire-resistant design device 300 suitable for plant phenotyping facilities or indoor facility agriculture, comprising:

[0116] The safety distance calculation module 310 is used to determine the safety distance of each functional area based on critical radiative heat simulation.

[0117] The fire scale determination module 320 is used to obtain the fire scale of each functional area under the most unfavorable working conditions based on the safety distance, combined with the characteristics of combustibles in each functional area, or through simulation.

[0118] The fire risk assessment module 330 is used to calculate the predicted fire probability value of each functional area under different Class II hazard sources and the predicted fire loss value under different fire scales, and to evaluate the fire risk assessment level of each functional area through the risk matrix.

[0119] The fire prevention measure matching module 340 is used to match the fire prevention control measures corresponding to each functional area by combining the fire scale, the fire risk assessment level, and the safety distance.

[0120] This device embodiment can be implemented in conjunction with the implementation methods described above. The relevant technical details mentioned in the implementation methods of the above embodiments remain valid in the implementation methods of this method embodiment, and will not be repeated here to avoid repetition.

[0121] Furthermore, embodiments of the present invention also provide a readable storage medium storing a program or instructions that, when executed by a processor, implement the steps of the fire-resistant design method applicable to plant phenotyping facilities or indoor facility agriculture, and achieve the same technical effect.

[0122] This invention also provides a computer program product that stores a program or instructions. When the program or instructions are executed by a processor, they implement the steps of the fireproof design method for plant phenotyping facilities described above, and achieve the same technical effect.

[0123] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. They can be applied to various fields suitable for the present invention. For those skilled in the art, other modifications can be easily made. Therefore, without departing from the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details and illustrations shown and described herein.

Claims

1. A fire-resistant design method for plant phenotyping facilities or indoor facility agriculture, characterized in that, Include: The safe distances for each functional area are determined based on critical radiative heat simulation. Based on the aforementioned safety distance, the fire scale of each functional area under the most unfavorable working conditions can be obtained by combining the characteristics of combustibles in each functional area or by simulation. Calculate the predicted fire probability value of each functional area under different Class II hazard sources and the predicted fire loss value under different fire scales, and evaluate the fire risk assessment level of each functional area through the risk matrix. Based on the fire scale, the fire risk assessment level, and the safety distance, fire prevention and control measures are matched for each functional area.

2. The method according to claim 1, characterized in that, Based on the fire scale, the fire risk assessment level, and the safety distance, fire prevention and control measures are matched for each functional area, including: Passive fire control measures are set up based on the safety distance and fire scale. If a functional area meets the safety distance requirements, and the fire hazard level is lower than the low fire hazard level, and the fire load density is less than the preset low load threshold, then passive fire control measures are adopted. If a functional area does not meet the safety distance requirements, or the fire hazard level is not lower than the low fire hazard level, or the fire load density is greater than or equal to the preset low load threshold, a combination of passive fire prevention and control measures and active fire prevention and control measures shall be adopted.

3. The method according to claim 2, characterized in that, The primary hazards in each functional area are identified, and the fire hazard level of each functional area is determined. The combustible material characteristics of each functional area are statistically analyzed, and the fire load density of each functional area is calculated.

4. The method according to any one of claims 1-3, characterized in that, The functional areas include at least rooms for planting and rooms for robots; The safe distance includes the distance between adjacent robots in the room of the robot category; If the plant type in the planting room is a plant that has a dry period, then the safety distance also includes: the spacing between rows of plants in the planting area of ​​the planting room, the spacing between individual plants, the spacing between the robot and the planting area when the robot is not working, and the critical radiation distance for ignition of adjacent plants after the robot battery catches fire. If the plant type in the planting room is a plant that does not have a dry season, then the safety distance also includes: the spacing between rows of plants in the planting area of ​​the planting room, the spacing between individual plants, and the spacing between the robot and the planting area when not in operation.

5. The method according to claim 2, characterized in that, An environmental simulation chamber with multiple cultivation methods was used as the planting room. The safety distance corresponding to each cultivation method was calculated through simulation. The multiple cultivation methods include pot cultivation and nutrient solution pipeline cultivation.

6. The method according to claim 1, characterized in that, Based on the aforementioned safety distance and the characteristics of combustibles within each functional area, the fire scale of each functional area under the most unfavorable operating conditions is calculated, including: Configure the spatial range for fire spread based on the aforementioned safety distance; Within the specified spatial range, simulation parameters are selected using the most unfavorable principle. These simulation parameters include plant species, calorific value of combustion at different growth stages, oil content, and water content. Statistical analysis of the combustible properties of each functional area; Based on the characteristics of the combustible material and the simulation parameters, the fire scale of each functional area under the most unfavorable working conditions is calculated.

7. The method according to claim 1, characterized in that, Calculate the predicted fire probability for each functional area under different Class II hazard sources and the predicted fire loss for different fire scales. Assess the fire risk level of each functional area using a risk matrix, including: Based on the ratio of the annual number of fire incidents to the number of equipment in each functional area, the predicted fire probability value of each functional area under different Class II hazard sources is calculated, and multiple fire probability evaluation levels are divided. Based on the proportion of fire property loss to facility research funding in each functional area, the predicted fire loss value for each functional area is calculated, and multiple fire loss assessment levels are divided. The fire probability assessment level and the fire loss assessment level are input into a two-dimensional risk matrix, and the intersection point is determined as the fire risk assessment level of the functional area.

8. A fire-resistant design device for plant phenotyping facilities or indoor facility agriculture, characterized in that, Include: The safety distance calculation module is used to determine the safety distance of each functional area based on critical radiative heat simulation. The fire scale determination module is used to obtain the fire scale of each functional area under the most unfavorable working conditions based on the safety distance, combined with the characteristics of combustibles in each functional area, or through simulation. The fire risk assessment module is used to calculate the predicted fire probability value of each functional area under different Class II hazard sources and the predicted fire loss value under different fire scales, and to assess the fire risk evaluation level of each functional area through the risk matrix. The fire prevention measures matching module is used to combine the fire scale, the fire risk assessment level, and the safety distance to match the corresponding fire prevention control measures for each functional area.

9. The apparatus according to claim 8, characterized in that, The fire prevention measure matching module is also used for: Passive fire control measures are set up based on the safety distance and fire scale. If a functional area meets the safety distance requirements, and the fire hazard level is lower than the low fire hazard level, and the fire load density is less than the preset low load threshold, then passive fire control measures are adopted. If a functional area does not meet the safety distance requirements, or the fire hazard level is not lower than the low fire hazard level, or the fire load density is greater than or equal to the preset low load threshold, a combination of passive fire prevention and control measures and active fire prevention and control measures shall be adopted.

10. The apparatus according to claim 8, characterized in that, The fire risk assessment module is also used for: Based on the ratio of the annual number of fire incidents to the number of equipment in each functional area, the predicted fire probability value of each functional area under different Class II hazard sources is calculated, and multiple fire probability evaluation levels are divided. Based on the proportion of fire property loss to facility research funding in each functional area, the predicted fire loss value for each functional area is calculated, and multiple fire loss assessment levels are divided. The fire probability assessment level and the fire loss assessment level are input into a two-dimensional risk matrix, and the intersection point is determined as the fire risk assessment level of the functional area.

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