Flood prevention method and system for battery compartment, computing equipment and storage medium

Abstract

The invention discloses a flood prevention method and system for a battery compartment, computing equipment and a computer readable storage medium. The flood prevention method comprises the steps that real-time environment state information of the battery compartment is acquired; determining alarm data representing the water seepage state of the battery compartment according to the environment state information; and according to the alarm data, flood prevention measures are carried out on the battery compartment. Therefore, the flood prevention measures are correspondingly executed by determining the alarm data, flood prevention protection can be accurately and efficiently carried out according to the real-time environment state information of the battery compartment, and the safety protection of the battery compartment is improved.

Description

Technical Field

[0001] The present application relates to the technical field of battery swap stations, and in particular to a flood prevention method, system, computing device, and storage medium for a battery compartment. Background Art

[0002] With the rapid development of electric vehicles, China is vigorously promoting the construction of charging facilities, and battery swap stations have become a vital component of this infrastructure. In coastal cities, where severe weather such as typhoons occur annually, battery swap stations are vulnerable to rain, which can lead to water seepage in the battery compartments, causing battery damage, short circuits, and other safety incidents.

[0003] In existing solutions, when leakage occurs, simple drainage or manual disposal are mostly used, which makes it difficult to achieve accurate and efficient flood prevention protection, thus leading to safety hazards in the battery compartment. Summary of the Invention

[0004] The purpose of this application is to provide a flood prevention method, system, computing device and storage medium for a battery warehouse, which can accurately and efficiently perform flood prevention protection based on the real-time environmental status information of the battery warehouse, thereby improving the safety protection of the battery warehouse.

[0005] To achieve the above objectives: In a first aspect, an embodiment of the present application provides a flood prevention method for a battery compartment, comprising: Obtain real-time environmental status information of the battery compartment; determining, based on the environmental status information, alarm data indicating a water seepage status of the battery compartment; Flood prevention measures are implemented on the battery compartment based on the alarm data.

[0006] In one embodiment, the real-time environmental status information of the battery compartment includes at least one of the following: Water leakage status information, pressure difference changes inside and outside the warehouse, battery warehouse structural stress, and typhoon movement speed; among them, water leakage status information includes water leakage amount, water leakage rate, water leakage traces, water flow direction, and water leakage location.

[0007] In one embodiment, the method for obtaining the water seepage position includes: Acquiring image information of the battery compartment captured by an image capture device, and determining at least one water leakage location in the battery compartment based on the image information; and / or, Obtain the time difference of the water leakage sound signals received by multiple sensors, and determine at least one water leakage location of the battery compartment based on the time difference; wherein the multiple high-precision sensors are respectively arranged at different positions of the battery compartment.

[0008] In one embodiment, the alarm data includes an alarm level, and determining the alarm data representing the water seepage state of the battery compartment based on the environmental state information includes one of the following: Comparing and analyzing at least one piece of environmental status information with at least one preset alarm condition to determine the severity and warning risk of the water leakage state of the battery compartment, and determining an alarm level representing the water leakage state of the battery compartment based on the severity and the warning risk; Comparing and analyzing at least one piece of environmental status information with at least one preset alarm condition to determine the severity of the water leakage state of the battery compartment, and determining an alarm level representing the water leakage state of the battery compartment based on the severity of the water leakage state; Compare and analyze at least one piece of the environmental status information with at least one preset alarm condition to determine the early warning risk of the battery compartment, and determine an alarm level representing the water seepage state of the battery compartment based on the early warning risk.

[0009] In one embodiment, the flood prevention measures include at least one of the following: Control the jet plugging device to spray plugging material; Unfolding a water retaining strip provided outside the battery compartment to prevent water from further infiltrating into the battery compartment based on the water retaining strip; Performing a remote power-off operation on the battery compartment; Turn on the automatic drainage pump to drain water; Outputting a prompt message indicating that water has seeped into the battery compartment; The backup power supply of the battery compartment is started.

[0010] In one embodiment, the method further comprises: Obtaining historical maintenance data of the battery compartment; The historical maintenance data and the alarm data are analyzed to determine the estimated cost of the current maintenance of the battery compartment.

[0011] In one embodiment, obtaining real-time environmental status information of the battery compartment includes: In response to receiving weather warning information, defensive measures are executed on the battery compartment, and real-time environmental status information of the battery compartment is obtained.

[0012] In a second aspect, an embodiment of the present application provides a flood prevention system for a battery compartment, comprising: A sensing module is used to obtain real-time environmental status information of the battery compartment; a decision module, configured to determine, based on the environmental status information, alarm data indicating a water seepage status of the battery compartment; An execution module is used to execute flood prevention measures on the battery compartment according to the alarm data.

[0013] In a third aspect, an embodiment of the present application provides a computing device, specifically comprising: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the flood prevention method for the battery compartment as described in the first aspect.

[0014] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored. When the instructions in the computer-readable storage medium are executed by a processor of a computing device, the computing device is enabled to implement the flood prevention method for the battery compartment as described in the first aspect.

[0015] Embodiments of the present application provide a flood prevention method, system, computing device, and computer-readable storage medium for a battery compartment, including: obtaining real-time environmental status information of the battery compartment; determining alarm data indicating water seepage in the battery compartment based on the environmental status information; and executing flood prevention measures for the battery compartment based on the alarm data. By determining that the alarm data corresponds to the execution of flood prevention measures, flood prevention protection can be accurately and efficiently implemented based on the real-time environmental status information of the battery compartment, thereby improving the safety of the battery compartment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic flow chart of a flood prevention method for a battery compartment provided in an embodiment of the present invention.

[0017] Figure 2 A schematic structural diagram of a flood prevention system for a battery compartment provided in an embodiment of the present invention.

[0018] Figure 3 A schematic diagram of the specific structural control of the flood prevention system of the battery compartment provided in an embodiment of the present invention.

[0019] Figure 4 A schematic diagram of the structure of a computing device provided in an embodiment of the present invention.

[0020] Processor 210 , memory 211 , network interface 212 , and bus system 213 . DETAILED DESCRIPTION

[0021] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0022] It should be noted that, in this document, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0023] It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are merely used to distinguish information of the same type from one another. For example, without departing from the scope of this document, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the term "if" as used herein may be interpreted as "at the time of," "when," or "in response to a determination." Furthermore, as used herein, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It should be further understood that the terms "comprising" and "including" indicate the presence of the described features, steps, operations, elements, components, items, types, and / or groups, but do not exclude the presence, occurrence, or addition of one or more other features, steps, operations, elements, components, items, types, and / or groups. The terms "or" and "and / or" as used herein are to be interpreted as inclusive, meaning any one or any combination. Thus, “A, B, or C” or “A, B, and / or C” means “any of: A; B; C; A and B; A and C; B and C; A, B, and C.” An exception to this definition occurs only when a combination of elements, functions, steps, or operations are inherently mutually exclusive in some manner.

[0024] It should be understood that, although the various steps in the flowchart in the embodiment of the present application are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence in the order indicated by the arrows. Unless clearly stated herein, the execution of these steps is not strictly limited in order, and they can be performed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and their execution order is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0025] It should be noted that in this article, step codes such as S101 and S102 are used for the purpose of expressing the corresponding content more clearly and concisely, and do not constitute a substantial limitation on the order. When implementing the step, those skilled in the art may execute S102 first and then S101, etc., but these should all be within the scope of protection of this application.

[0026] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0027] In the subsequent description, the use of suffixes such as "module", "component" or "unit" to represent elements is only for the purpose of facilitating the description of the present application and has no specific meaning. Therefore, "module", "component" or "unit" can be used interchangeably.

[0028] The embodiments of the present application provide a flood prevention method for a battery compartment. The flood prevention method for a battery compartment provided by the embodiments of the present application can be implemented using software and / or hardware. In this embodiment, the flood prevention method for a battery compartment is applied to a server as an example. The embodiments of the present application provide a flood prevention method for a battery compartment, including the following steps: Step S101: Acquire real-time environmental status information of the battery compartment.

[0029] Environmental status information refers to multi-dimensional environmental parameters that directly impact or reflect the safety, sealing, and water leakage risk of the battery compartment. This information can be obtained in real time by installing various types of sensors in the battery compartment, connecting to a meteorological network, or analyzing and determining the battery compartment's environmental status based on pre-set battery compartment data parameters.

[0030] In one embodiment, the real-time environmental status information of the battery compartment includes at least one of the following: Water leakage status information, pressure difference changes inside and outside the warehouse, battery warehouse structural stress, and typhoon movement speed; among them, water leakage status information includes water leakage amount, water leakage rate, water leakage traces, water flow direction, and water leakage location.

[0031] Water leakage status information describes water leakage within the battery compartment, reflecting the characteristics, extent, and dynamic changes of water leakage through multi-dimensional parameters. This information includes water leakage volume, water leakage rate, water leakage traces, water flow direction, and water leakage location.

[0032] Optionally, the amount of water seepage is obtained by a set water seepage detection sensor, and when at least one water seepage detection sensor is installed at the joint of the battery compartment of the battery swap station, the water seepage of the battery compartment is monitored in real time. Optionally, the water seepage rate during water seepage can also be obtained by the set water seepage detection sensor. Here, the water seepage rate generally refers to the rate of change of the amount of water seepage per unit time (such as liters / minute), which is used to judge the leakage trend (such as sudden rupture or slow infiltration). Optionally, real-time image information of the battery compartment can be collected by a set multispectral image acquisition device to obtain water seepage traces and water flow direction based on the collected image information. Here, the multispectral image acquisition device can be collected based on the data location uploaded by the water seepage detection sensor, and no data will be collected if the water seepage detection sensor has no data to upload. Optionally, at least one water seepage location when water seepage occurs in the battery compartment can be obtained based on the water seepage status information collected by at least one sensor.

[0033] Optionally, an air pressure balance detection device may be provided and installed inside and outside the battery compartment to analyze and judge the changes in internal and external pressures and determine the changes in the pressure difference between the inside and outside of the compartment.

[0034] Optionally, the structural stress of the battery compartment can be directly obtained based on preset data. Here, the current safety risk of the battery compartment is determined based on a combined analysis of the battery compartment and the current water seepage status information, the pressure difference change inside and outside the compartment, and the typhoon movement speed.

[0035] Alternatively, the intensity and direction of winds around the typhoon can be monitored using a weather station or lidar. Here, by connecting to a meteorological warning system, information such as the typhoon's movement speed, trajectory, and duration of impact can be obtained.

[0036] In one embodiment, a method for obtaining a water seepage location includes: Acquiring image information of the battery compartment captured by an image capture device, and determining at least one water leakage location in the battery compartment based on the image information; and / or, The time difference between the water leakage sound signals received by the multiple sensors is obtained, and at least one water leakage location of the battery compartment is determined based on the time difference; wherein the multiple high-precision sensors are respectively arranged at different positions of the battery compartment.

[0037] Optionally, when real-time image information of the battery compartment is collected by a multispectral image acquisition device, color threshold segmentation (such as blue or gray areas in RGB space) or texture analysis (such as GLCM grayscale co-occurrence matrix) is performed based on the collected image information to identify suspected water seepage areas, or polarized light or flashlight is used to assist imaging to detect the high reflective properties of water stains. Here, the water seepage area in the image information can also be determined by comparing consecutive frame images (such as video streams) and identifying newly added water stain areas (such as dark spots that were not present in the previous frame but appear in the current frame). At the same time, by applying the Lucas-Kanade algorithm to the video stream, the motion vector of the water droplet pixel is calculated to determine the direction of the water flow, and the leakage point is inferred from the water level rise rate (such as the water accumulation rate in a certain area is significantly faster than in other areas). In this way, based on the analysis of the water seepage area and the water flow direction, at least one current water seepage location is determined.

[0038] Optionally, high-precision sensors (five in total, numbered S1-S5) are installed at each seam of the paneling around the battery swap station to capture the acoustic signals generated by water seepage in the battery compartment. These sensors are connected to the data processing center via wired or wireless connections and are precisely time-synchronized. This allows the calculation of at least one leak location in the battery compartment based on the time difference between the acoustic signals received by the multiple high-precision sensors and the location of each high-precision sensor.

[0039] For example, at a certain moment, a leak occurs in a patchwork seam 15 meters from sensor S3. The resulting sound signal propagates at the speed of sound (approximately 340 meters per second). Due to the varying distances between different sensors and the leak source, the sound signal arrives at different times. Sensor S3 receives the signal first, followed by sensors S2, S4, and so on. After obtaining the trigger time of each sensor, the data processing center calculates the time difference between adjacent sensors. For example, the time difference between S3 and S2 is Δt1, and the time difference between S3 and S4 is Δt2. Based on the speed of sound, the mathematical model of the Time Difference of Arrival (TDOA) algorithm is used for calculation. Furthermore, by establishing a system of hyperbolic equations (the TDOA algorithm essentially utilizes the principle of hyperbolic positioning, with each set of time differences corresponding to a hyperbola, and the intersection of multiple hyperbolas represents the leak source), the solution can determine the leak source's location relative to sensor S3, achieving millimeter-level precision.

[0040] In one embodiment, obtaining real-time environmental status information of the battery compartment includes: In response to receiving the weather warning information, defensive measures are executed on the battery compartment, and real-time environmental status information of the battery compartment is obtained.

[0041] Meteorological warning information refers to severe weather conditions, such as heavy rain and typhoons. Optionally, a Beidou / GPS dual-mode positioning device can be used to access the three-party meteorological bureau platform to track typhoon paths and obtain meteorological information. Upon receiving a meteorological warning, a flood prevention self-check program is preemptively initiated, including obtaining real-time environmental status information for the battery compartment. Optionally, upon receiving a meteorological warning, defensive measures are implemented for the battery compartment. These defensive measures can be set in advance, such as opening and setting the water retaining belt to a semi-inflated mode. Received meteorological warning information can also be analyzed, and defensive measures can be set accordingly based on the results, such as setting the inflation level of the water retaining belt and outputting prompt messages. This shifts from passive disaster prevention to active defense, significantly improving the battery compartment's survivability in adverse weather conditions. Intelligent strategies can also be used to reduce operation and maintenance costs, achieving both safety and cost-effectiveness.

[0042] Step S102: Determine alarm data representing the water seepage state of the battery compartment according to the environmental state information.

[0043] Optionally, the alarm data is a structured risk quantitative expression of the water leakage state of the battery compartment, and is generated by analyzing the real-time environmental status information of the battery compartment to generate a standardized risk signal that can drive operation and maintenance decisions. Specifically, the alarm data of the water leakage state of the battery compartment can be determined based on the water leakage amount or water leakage rate in the current water leakage state information of the battery compartment, the alarm data of the water leakage state of the battery compartment can be determined based on the water leakage position in the current water leakage state information of the battery compartment, and the alarm data of the water leakage state of the battery compartment can be determined based on the current water leakage state information of the battery compartment, the structural stress of the battery compartment, and the typhoon movement rate.

[0044] In one embodiment, the alarm data includes an alarm level. The alarm data representing the water leakage state of the battery compartment is determined based on the environmental status information, including one of the following: Comparing and analyzing at least one piece of environmental status information with at least one preset alarm condition to determine the severity and warning risk of water leakage in the battery compartment, and determining an alarm level representing the water leakage in the battery compartment based on the severity and warning risk of the water leakage; Comparing and analyzing at least one piece of environmental status information with at least one preset alarm condition to determine the severity of the water leakage state of the battery compartment, and determining an alarm level representing the water leakage state of the battery compartment based on the severity of the water leakage state; Compare and analyze at least one piece of environmental status information with at least one preset alarm condition to determine the early warning risk of the battery compartment, and determine the alarm level representing the water seepage state of the battery compartment based on the early warning risk.

[0045] Different alarm levels can be pre-set, where different alarm levels represent different risk levels. Optionally, when comparing the environmental status information with the preset alarm conditions, different alarm conditions can be set based on different environmental status information to adaptively and more accurately determine the severity of the water seepage state and the warning risk brought about by each environmental status information.

[0046] Optionally, when judging the severity of the water leakage state by directly comparing parameters such as water leakage amount, water level, structural stress with preset thresholds, the alarm level of the current battery compartment is determined based on the severity of the water leakage state.

[0047] Optionally, when the environmental status information includes water seepage amount and water seepage rate, the water seepage amount / water seepage rate is compared with at least one water seepage threshold in the alarm condition, such as: when the water seepage amount / water seepage rate is less than or equal to the first water seepage threshold (such as: water seepage amount ≤ 100ml / min), it is determined that the current state is in the first level alarm; when the water seepage amount / water seepage rate is greater than the first water seepage threshold and less than or equal to the second water seepage threshold (such as: 100ml / min < water seepage amount ≤ 300ml / min), it is determined that the current state is in the second level alarm; when the water seepage amount / water seepage rate is greater than the second water seepage threshold (such as: water seepage amount > 300ml / min), it is determined that the current state is in the third level alarm.

[0048] Optionally, when the environmental status information includes the water leakage location, an analysis is performed based on at least one determined water leakage location to determine whether it is in a dangerous area of ​​the battery compartment and the distance between the water leakage location and the dangerous area. In this way, the current alarm level is determined based on the distance between the dangerous area and the water leakage location.

[0049] Optionally, taking into account the situation where the pressure difference between the inside and outside of the battery compartment is large due to excessive water seepage in the compartment, it is possible to judge whether the amount of water in the battery compartment is large and the water seepage is serious based on the change in the pressure difference between the inside and outside of the compartment. If so, it can be directly determined that the current level is the highest alarm level and the water seepage is serious.

[0050] Optionally, the early warning risk is assessed by comparing parameters such as typhoon speed, battery compartment structural stress, and water seepage status information with the risk model. Based on the early warning risk, an alarm level for the battery compartment water seepage status is determined. For example, if the current water seepage risk is determined to be low or unlikely to recur, the current alarm level is determined to be low, and after implementing relevant water seepage control measures, other flood prevention measures may not be implemented.

[0051] Optionally, the alarm level for the battery compartment water leakage condition can be determined based on both the severity and the warning risk of the water leakage condition. For example, if the current water leakage condition is determined to be relatively minor and no longer poses a serious water leakage tendency or risk, the current alarm level is determined to be low. If the current water leakage condition is relatively minor but there is a serious water leakage tendency (such as an impending typhoon or heavy rain), the current alarm level is determined to be high.

[0052] In this way, the water seepage status can be quantitatively assessed to achieve accurate risk control, efficient resource allocation and significant improvement in safety, which will help to provide intelligent protection for battery compartments in complex scenarios such as typhoons and heavy rains.

[0053] Step S103: Execute flood prevention measures on the battery compartment according to the alarm data.

[0054] Optionally, executable flood control measures can be determined based on the alarm level in the alarm data. For example, a level 1 alarm corresponds to a level 1 flood control measure, a level 2 alarm corresponds to a level 2 flood control measure, a level 3 alarm corresponds to a level 3 flood control measure, and so on. Since different alarm levels correspond to different degrees of severity, flood control measures at each level should be different, but the same flood control measures can exist between different levels.

[0055] In one embodiment, the flood prevention measures include at least one of the following: Control the jet plugging device to spray plugging materials; Unfold the water retaining strip provided outside the battery compartment to prevent water from further seeping into the battery compartment; Perform remote power-off operation on the battery compartment; Turn on the automatic drainage pump to drain water; Output a warning message indicating water seepage in the battery compartment; Activate the backup power supply of the battery compartment.

[0056] Optionally, the high-pressure jet plugging device is equipped with a two-component fast-curing epoxy resin as a plugging material. In this way, the high-pressure jet plugging device moves along a preset track to spray the plugging material at the water leakage location to prevent the battery compartment from continuing to leak at the water leakage location. Specifically, the properties of the plugging material can be set as follows: initial setting time of 8-12 seconds; shear strength ≥5MPa; electrical conductivity <10⁻ 6 S / m (Ensure electrical safety).

[0057] Optionally, a wear-resistant nylon water barrier can be pre-buried around the battery swap station and quickly connected to the ground using an electromagnetic locking device to prevent water from seeping into the battery compartment. The water barrier is constructed from a three-layer composite material (a wear-resistant nylon outer layer, an airtight middle layer, and a flame-retardant inner layer). This can be inflated based on current battery compartment alarm data or in response to manual control to create a circular isolation zone around the battery compartment. The height of the water barrier can be adjusted between 30 and 80 cm.

[0058] Optionally, a disconnection command can be sent remotely via 4G / 5G or LoRa, or a preset water seepage detection sensor threshold can be automatically triggered to cut off the main power supply to the battery compartment.

[0059] Optionally, the drainage pump can be set up on the inclined ground to set the diversion groove to ensure that the water accumulated at the bottom of the battery compartment is discharged first. Here, the drainage pump can be turned on to drain water when the water level in the battery compartment is greater than or equal to a preset water level.

[0060] Optionally, communication can be conducted via an anti-interference wireless relay network (5G+LoRa hybrid networking mode) to output a warning message indicating water leakage in the battery compartment. Here, an alarm can also be output through a light display. Here, different light colors can be used to indicate different alarm levels, such as yellow for a level 1 alarm, orange for a level 2 alarm, and red for a level 3 alarm.

[0061] Optionally, a lithium battery can be used as an emergency power source, specifically with a capacity of ≥10kWh and a power supply that supports BMS basic monitoring for >4 hours. This way, if the main power source fails, the backup power supply will be automatically detected.

[0062] In one embodiment, different levels of flood control measures can be set based on the alarm level. For example, a level 1 alarm corresponds to a level 1 flood control measure, a level 2 alarm corresponds to a level 2 flood control measure, and a level 3 alarm corresponds to a level 3 flood control measure. Level 1 flood control measures can include: activating an automatic drainage pump to drain water and outputting a warning message indicating water leakage in the battery compartment; level 2 flood control measures can include: outputting a warning message indicating water leakage in the battery compartment (including a live video stream); and level 3 flood control measures can include: remotely shutting off the battery compartment power supply, controlling a leak-sealing device to spray leak-sealing material, and activating the battery compartment's backup power supply.

[0063] In this way, the solution significantly improves the survivability of battery warehouses in extreme weather conditions through diversified technical means (physical blocking, power control, drainage and dredging), hierarchical response, and intelligent operation (automatic / remote execution), while taking into account safety, reliability, and economy.

[0064] In summary, in the flood prevention method for the battery compartment provided in the above embodiment, by determining the corresponding flood prevention measures to be executed according to the alarm data, flood prevention protection can be performed accurately and efficiently according to the real-time environmental status information of the battery compartment, thereby improving the safety protection of the battery compartment.

[0065] In one embodiment, the method further comprises: Get historical maintenance data of the battery compartment; Analyze historical maintenance data and alarm data to determine the estimated cost of this battery compartment repair.

[0066] Optionally, the estimated cost of the repair can be predicted based on the risk alert level. Specifically, a statistical analysis of the costs incurred for each historical repair event in the system is performed. This is then combined with sensor data for real-time calculation, comparison, and analysis, with the resulting material cost estimate for the current repair being output. This statistical analysis of historical repair costs and comparison with real-time sensor data allows for a more accurate estimate of the material, labor, and other costs for a single repair, providing data support for management decisions.

[0067] Based on the same inventive concept as the above embodiments, the present application provides a flood prevention system for a battery compartment, such as Figure 2 As shown, it includes perception module, decision module and execution module; among them, A sensing module is used to obtain real-time environmental status information of the battery compartment; A decision module, configured to determine alarm data indicating a water seepage state of the battery compartment based on environmental status information; The execution module is used to implement flood prevention measures for the battery compartment based on the alarm data.

[0068] Specifically, see Figure 3 Through the collaborative work of intelligent sensors, wireless communication modules and servers, real-time monitoring and automatic protection of water seepage in the battery compartment of the battery swap station are achieved, which can effectively avoid battery damage and economic losses caused by water entering the battery compartment.

[0069] The sensing module is equipped with distributed water seepage detection sensors (placed along the battery compartment seams), a multispectral image acquisition module (to identify water seepage traces and water flow direction), and an air pressure balance detection device (to monitor changes in pressure difference between inside and outside the compartment). Optionally, the decision-layer module deploys an edge computing unit (with a built-in water seepage risk quantification model) and an alarm classification engine, including: Level 1 alarm (water seepage volume <100ml / min): yellow warning; Level 2 alarm (100-300ml / min): orange warning + pre-action preparation; Level 3 alarm (>300ml / min): red warning + automatic disposal.

[0070] Optionally, the execution module includes a high-pressure jet plugging system (containing two-component fast-curing epoxy resin), an inflatable intelligent water retaining belt (deployment speed <15 seconds, compressive strength ≥50kPa); and a remote authorized power-off module (supporting hierarchical authority management).

[0071] In one embodiment, a flood prevention system for a battery warehouse also includes a communication module, specifically including: a Beidou / GPS dual-mode positioning device (accessible to a three-party meteorological bureau platform for typhoon path tracking); an anti-interference wireless relay network (5G+LoRa hybrid networking mode).

[0072] In one embodiment, when a sensor detects water seepage, it first triggers a 3D laser scanner to locate the seepage point (with an accuracy of ±1mm). Secondly, the water retaining belt is fully inflated to form a circular isolation zone (adjustable height 30-80cm). Finally, multi-level flood control measures are simultaneously initiated, including: Level 1 flood control measures: automatic drainage pump activation and local audible and visual alarms; Level 2 flood control measures: push of treatment recommendations to the management terminal (including live video stream); Level 3 flood control measures: forced power outage, jet plugging, and activation of the backup power supply.

[0073] In one implementation, upon receiving an alert, station staff make a decision based on the alert level. If the alert level is high, station operations and maintenance personnel can remotely control the station to power off and initiate emergency flood control measures, such as activating glue sprayers and water-blocking hoses. Station staff can verify their decision-making regarding flood control measures using methods such as facial recognition and preset passwords to mitigate the risk of misoperation.

[0074] In one embodiment, when the server determines that water is seeping into the battery compartment, it automatically activates the glue spraying device and water-blocking belt to protect the battery swap station. Simultaneously, it automatically disables the charger from charging the battery pack to prevent damage due to water ingress.

[0075] In this way, through the combination of the self-diagnosis system and remote operation and maintenance means, the station operation and maintenance can be reduced in number, which is more convenient and efficient than the traditional method of fixed on-site inspections by one person per station every month. The flood prevention system for the battery warehouse proposed in this application has the advantages of reliability, safety, economy, and easy implementation. Through the collaborative work of intelligent sensors, wireless communication modules and servers, the system realizes real-time monitoring and automatic protection of water seepage in the battery warehouse of the battery swap station, which can effectively avoid battery damage and economic losses caused by water ingress into the battery warehouse.

[0076] Based on the same inventive concept as the above embodiments, an embodiment of the present invention provides a computing device, such as Figure 4 As shown, the computing device includes: a processor 210 and a memory 211 storing a computer program; wherein, Figure 4The processor 210 shown in the figure is not used to indicate that the number of processors 210 is one, but is only used to indicate the positional relationship of the processor 210 relative to other devices. In actual applications, the number of processors 210 may be one or more; similarly, Figure 4 The memory 211 shown in the figure has the same meaning, that is, it is only used to refer to the position relationship of the memory 211 relative to other devices. In actual application, the number of memories 211 can be one or more. When the processor 210 runs the computer program, the above-mentioned battery compartment flood prevention method is implemented.

[0077] The computing device may also include: at least one network interface 212. The various components in the computing device are coupled together via a bus system 213. It is understood that the bus system 213 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 213 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, Figure 4 Various buses are labeled as bus system 213.

[0078] Memory 211 may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Non-volatile memory may include read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disk, or compact disc read-only memory (CD-ROM); magnetic surface memory may include magnetic disk memory or magnetic tape memory. Volatile memory may include random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct rambus random access memory (DRRAM).The memory 211 described in the embodiments of the present invention is intended to include, but is not limited to, these and any other suitable types of memory.

[0079] The memory 211 in the embodiment of the present invention is used to store various types of data to support the operation of the computing device. Examples of such data include: any computer program used to operate on the computing device, such as an operating system and application programs; contact data; phone book data; messages; images; videos, etc. Among them, the operating system includes various system programs, such as the framework layer, core library layer, and driver layer, which are used to implement various basic services and handle hardware-based tasks. The application program can include various application programs, such as media players and browsers, which are used to implement various application services. Here, the program that implements the method of the embodiment of the present invention can be included in the application program.

[0080] Based on the same inventive concept as the above-mentioned embodiment, this embodiment further provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium. The computer-readable storage medium may be a magnetic random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); or various devices including one or any combination of the above-mentioned memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc. When the computer program stored in the computer-readable storage medium is executed by a processor, the flood prevention method for the battery compartment of the above-mentioned computing device is implemented. For the specific steps implemented when the computer program is executed by the processor, please refer to Figure 2 The description of the illustrated embodiment will not be repeated here.

[0081] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0082] As used herein, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion of elements other than the listed elements and may also include additional elements not specifically listed.

[0083] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A flood prevention method for a battery compartment, characterized in that: include: Obtain real-time environmental status information of the battery compartment; determining, based on the environmental status information, alarm data indicating a water seepage status of the battery compartment; Flood prevention measures are implemented on the battery compartment based on the alarm data.

2. The method according to claim 1, characterized in that The real-time environmental status information of the battery compartment includes at least one of the following: Water leakage status information, pressure difference changes inside and outside the warehouse, battery warehouse structural stress, and typhoon movement speed; among them, water leakage status information includes water leakage amount, water leakage rate, water leakage traces, water flow direction, and water leakage location.

3. The method according to claim 2, characterized in that The method for obtaining the water seepage position includes: Acquiring image information of the battery compartment captured by an image capture device, and determining at least one water leakage location in the battery compartment based on the image information; and / or, Obtain the time difference of the water leakage sound signals received by multiple sensors, and determine at least one water leakage location of the battery compartment based on the time difference; wherein the multiple high-precision sensors are respectively arranged at different positions of the battery compartment.

4. The method according to claim 1, wherein The alarm data includes an alarm level, and the alarm data characterizing the water seepage state of the battery compartment is determined based on the environmental state information, including one of the following: Comparing and analyzing at least one piece of environmental status information with at least one preset alarm condition to determine the severity and warning risk of the water leakage state of the battery compartment, and determining an alarm level representing the water leakage state of the battery compartment based on the severity and the warning risk; Comparing and analyzing at least one piece of environmental status information with at least one preset alarm condition to determine the severity of the water leakage state of the battery compartment, and determining an alarm level representing the water leakage state of the battery compartment based on the severity of the water leakage state; Compare and analyze at least one piece of the environmental status information with at least one preset alarm condition to determine the early warning risk of the battery compartment, and determine an alarm level representing the water seepage state of the battery compartment based on the early warning risk.

5. The method according to claim 1, wherein The flood prevention measures include at least one of the following: Control the jet plugging device to spray plugging materials; Unfolding a water retaining strip provided outside the battery compartment to prevent water from further infiltrating into the battery compartment based on the water retaining strip; Performing a remote power-off operation on the battery compartment; Turn on the automatic drainage pump to drain water; Outputting a prompt message indicating that water has seeped into the battery compartment; The backup power supply of the battery compartment is started.

6. The method according to claim 1, characterized in that The method further comprises: Obtaining historical maintenance data of the battery compartment; The historical maintenance data and the alarm data are analyzed to determine the estimated cost of the current maintenance of the battery compartment.

7. The method according to claim 1, characterized in that The obtaining of real-time environmental status information of the battery compartment includes: In response to receiving weather warning information, defensive measures are executed on the battery compartment, and real-time environmental status information of the battery compartment is obtained.

8. A flood prevention system for a battery compartment, characterized in that: include: A sensing module is used to obtain real-time environmental status information of the battery compartment; a decision module, configured to determine, based on the environmental status information, alarm data indicating a water seepage status of the battery compartment; An execution module is used to execute flood prevention measures on the battery compartment according to the alarm data.

9. A computing device, characterized in that include: A processor and a memory for storing executable instructions; wherein the processor is configured to execute the instructions to implement the flood prevention method for the battery compartment as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that When the instructions in the computer-readable storage medium are executed by a processor, the flood prevention method for the battery compartment according to any one of claims 1 to 7 is implemented.

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