Energy storage power station cabin-level fire monitoring system and method

Abstract

The invention discloses an energy storage power station cabin-level fire monitoring system and method, and belongs to the technical field of battery monitoring. The system comprises a laser emitting array, a laser receiving array, a signal processing module and an alarm processing module. The laser emitting array and the laser receiving array are arranged in the energy storage power station cabin to construct a spatial distributed monitoring light path capable of covering the whole area of the energy storage power station cabin; the signal processing module performs filtering correction on the abnormal monitoring light path based on the electric signal output by the laser receiving array, calculates the light transmittance and inverts the aerosol concentration; and the alarm processing module outputs graded alarm signals and risk point space position information based on the aerosol concentration. According to the invention, aerosol particles released in the initial stage of thermal runaway of electrochemical energy storage equipment such as a lithium battery and the like can be rapidly and accurately identified and spatially positioned, and early warning information and positioning data are output to the outside through a graded early warning and positioning output mechanism, so that extremely early warning of a fire in an energy storage power station cabin is realized.

Description

Technical Field

[0001] This invention relates to the field of battery monitoring technology, and in particular to a fire monitoring system and method for a compartment of an energy storage power station. Background Technology

[0002] With the accelerated global energy structure transformation, the electrochemical energy storage industry has experienced rapid development, with lithium batteries becoming the mainstream energy storage medium due to their high energy density. However, the fire safety issues caused by thermal runaway of lithium batteries are becoming increasingly prominent, seriously restricting the industry's development. In the early stages of thermal runaway of lithium batteries, a large number of micron to nano-sized aerosol particles (precursors to fire) are released. This stage occurs earlier than open flames and high temperatures, and is a key signal for achieving very early warning.

[0003] Currently, fire monitoring inside energy storage power station cabins mainly relies on the following technical means, but all of them have significant limitations: Traditional smoke detectors (point-type / photoelectric type): installed on the top of the cabin, they need to wait for the smoke to rise and accumulate to the threshold concentration before they can sound an alarm. The response delay can be as long as tens of seconds to several minutes. They can only determine whether there is smoke in the cabin, but cannot locate the specific faulty battery module. Aspirating smoke detectors: Sensitivity is improved by sampling under negative pressure in the pipeline, but the long sampling pipeline causes gas transmission delay and still cannot achieve spatial resolution, making it difficult to locate the fault point; Temperature sensors (thermocouples / infrared): rely on the rise in ambient temperature to trigger an alarm. However, in the early stages of thermal runaway of lithium batteries, heat accumulates inside the module, and changes in ambient temperature are delayed, resulting in a late warning time and a reactive response. In summary, existing technologies generally suffer from problems such as delayed response, ambiguous positioning, high false alarm rate, and complex maintenance, and cannot meet the dual core requirements of energy storage power stations for early warning of fires and accurate location of faults.

[0004] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a fire monitoring system and method for energy storage power station compartments, which can quickly and accurately identify and spatially locate aerosol particles released in the early stage of thermal runaway of electrochemical energy storage devices such as lithium batteries, and output early warning information and location data to the outside through a graded early warning and location output mechanism, thereby achieving very early warning of fires inside the energy storage power station compartment.

[0006] To achieve the above objectives, embodiments of the present invention provide a fire monitoring system for the compartment level of an energy storage power station, comprising: A laser emitting array, located inside the energy storage power station compartment, includes multiple laser emitting modules, each configured to emit a laser beam, and the multiple laser beams form a spatially distributed monitoring optical path within the energy storage power station compartment; A laser receiving array, located inside the energy storage power station compartment, includes multiple laser receiving modules. The number of the multiple laser receiving modules matches the number of the multiple laser emitting modules and their positions correspond. Each laser receiving module is configured to receive a corresponding laser beam in the monitoring optical path and convert the laser beam optical signal into an electrical signal. The signal processing module, connected to the laser receiving array, is configured to receive electrical signals and filter and correct the abnormal monitoring optical path based on the electrical signals, determine the corresponding transmittance based on the electrical signals corresponding to the processed monitoring optical path, and determine the aerosol concentration on the corresponding monitoring optical path based on the transmittance. The alarm processing module, connected to the signal processing module, is configured to determine whether the alarm conditions are met based on the aerosol concentration corresponding to each monitoring optical path, and output a graded alarm signal when the conditions are met, as well as output the spatial location information of the risk point.

[0007] In one or more embodiments of the present invention, the spatially distributed monitoring optical path includes One or more laser planes, each laser plane being formed by several monitoring optical paths, with the several monitoring optical paths in each laser plane being arranged in parallel to each other.

[0008] In one or more embodiments of the present invention, the laser emitting module is a laser capable of generating a wavelength of 405 nm.

[0009] In one or more embodiments of the present invention, the signal processing module performs filtering and correction on the anomaly monitoring optical path based on electrical signals, including: Feature extraction is performed based on the electrical signal corresponding to the monitoring optical path, and the features include one or more combinations of instantaneous transmittance, rate of change, and noise level; Determine whether the extracted feature values ​​deviate from the dynamic baseline, and mark the corresponding monitoring optical path as abnormal when there is a deviation; Based on the number of abnormal monitoring optical paths, it can be determined whether the abnormality is local or global; In response to the determination that it is a local anomaly, it is determined whether there is an anomaly in the adjacent monitoring optical paths of the anomaly monitoring optical path. If there is no anomaly, the data corresponding to the anomaly monitoring optical path is isolated, and a replacement data is generated based on the data of the adjacent normal monitoring optical paths. In response to the determination that a global anomaly has occurred, the system determines whether all monitored optical paths have experienced a synchronous instantaneous jump followed by recovery based on time characteristics, and replaces the current data with the cached data from the previous sampling period.

[0010] In one or more embodiments of the present invention, generating alternative data based on data from adjacent normal monitoring optical paths includes: The alternative data is generated based on data from adjacent normal monitoring optical paths using a spatial interpolation algorithm.

[0011] In one or more embodiments of the present invention, in response to determining that it is a global anomaly, the transmittance trend of all monitored optical paths is analyzed and it is determined whether there is a synchronous and slow decrease characteristic, and if so, it is determined to be a systematic drift and the reference point is adjusted by dynamic baseline calibration.

[0012] In one or more embodiments of the present invention, the step of determining whether the alarm conditions are met based on the aerosol concentration corresponding to each monitoring optical path, and outputting a graded alarm signal when the conditions are met, and outputting the spatial location information of the risk point includes: Determine whether the aerosol concentration corresponding to each monitoring optical path exceeds the first threshold; If the first threshold is exceeded, the monitoring optical path is identified as abnormal, and it is further determined whether the aerosol concentration of the adjacent monitoring optical path exceeds the first threshold. When all responses exceed the first threshold, the center point of the abnormal area is determined through spatial cross-analysis, and a first-level alarm message and spatial location information are output.

[0013] In one or more embodiments of the present invention, the step of determining whether the alarm conditions are met based on the aerosol concentration corresponding to each monitoring optical path, and outputting a graded alarm signal when the conditions are met, and outputting the spatial location information of the risk point, further includes: Determine whether the aerosol concentration corresponding to multiple monitoring optical paths increases sharply, or determine whether the aerosol concentration of the monitoring optical path corresponding to the center of the abnormal area exceeds the second threshold. If the value rises sharply or exceeds the second threshold, a level 2 alarm message will be output.

[0014] In one or more embodiments of the present invention, the system further includes: The fine-tuning module is configured to fine-tune the power of the laser emitting module or the sensitivity of the laser receiving module based on a self-test result, which is a result of comparing the current measurement value with a reference value.

[0015] Embodiments of the present invention also provide a method for monitoring fires at the compartment level in an energy storage power station. Based on the aforementioned energy storage power station compartment-level fire monitoring system, the method includes the following steps: Each laser emitting module in the laser emitting array emits a laser beam, and multiple laser beams form a spatially distributed monitoring optical path within the energy storage power station cabin; Each laser receiving module in the laser receiving array receives the laser beam and converts the laser beam optical signal into an electrical signal. The signal processing module receives electrical signals and filters and corrects the abnormal monitoring optical path based on the electrical signals. It determines the corresponding transmittance based on the electrical signals corresponding to the processed monitoring optical path and determines the aerosol concentration on the corresponding monitoring optical path based on the transmittance. The alarm processing module determines whether the alarm conditions are met based on the aerosol concentration corresponding to each monitoring optical path, and outputs a graded alarm signal and the spatial location information of the risk point when the conditions are met.

[0016] Compared with existing technologies, this invention constructs a three-dimensional optical monitoring matrix grid by setting up an array of laser modules inside the energy storage power station compartment. This grid can fully cover the internal space of the energy storage power station compartment, achieving monitoring of all battery cabinets / modules without blind spots. At the same time, by leveraging the independence of optical paths and spatial cross-analysis, it can accurately locate the location of risk points, solving the problems of incomplete spatial coverage or ambiguous positioning in traditional monitoring. Attached Figure Description

[0017] Figure 1 This is a structural block diagram of a fire monitoring system for a storage power station compartment according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a laser array arrangement according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the monitoring optical path structure according to an embodiment of the present invention. Detailed Implementation

[0018] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings, but it should be understood that the scope of protection of the present invention is not limited to the specific embodiments.

[0019] Unless otherwise expressly stated, throughout the specification and claims, the term "comprising" or its variations such as "including" or "comprises" shall be understood to include the stated elements or components without excluding other elements or other components.

[0020] like Figure 1 As shown, a fire monitoring system for energy storage power station compartments according to a preferred embodiment of the present invention constructs a spatially distributed monitoring optical path that covers the entire area inside the energy storage power station compartment. By combining an abnormal optical path filtering correction algorithm and a spatial cross algorithm, it achieves rapid and accurate identification and spatial positioning of aerosol particles released in the early stage of thermal runaway of electrochemical energy storage devices such as lithium batteries. Through a graded early warning and positioning output mechanism, it solves the problems of slow response, difficult positioning, and low reliability of existing technologies, and provides technical support for fire prevention and control in energy storage power station compartments.

[0021] Specifically, the fire monitoring system for the energy storage power station's compartment level includes a laser emitting array, a laser receiving array, a signal processing module, and an alarm processing module. Among these, The laser emitter array is installed inside the energy storage power station compartment, preferably on one side wall or the top wall of the energy storage power station compartment. It includes multiple laser emitting modules arranged in a preset matrix (such as arranged in M ​​rows and N columns, where M and N are integers greater than zero). Each laser emitting module is configured to emit a laser beam. The multiple laser beams can eventually form a spatially distributed monitoring optical path inside the energy storage power station compartment that can cover the battery modules (such as battery packs, cells, etc.). The laser receiving array is also installed inside the energy storage power station compartment, preferably on the other side wall or bottom wall of the energy storage power station compartment. It includes multiple laser receiving modules (or detectors). The number of multiple laser receiving modules matches the number of multiple laser emitting modules and their positions correspond one-to-one. Each laser receiving module is configured to receive the corresponding laser beam in the monitoring optical path and convert the laser beam optical signal into an electrical signal.

[0022] Furthermore, combined Figure 2 and Figure 3 As shown, the spatially distributed monitoring optical path includes one or more laser monitoring planes. Each laser monitoring plane is formed by multiple monitoring optical paths, and several monitoring optical paths in each laser monitoring plane are arranged in parallel. When multiple laser monitoring planes are used, the directions of the monitoring optical paths in adjacent layers are orthogonal (e.g., the upper layer along the X-axis and the lower layer along the Y-axis), so that laser beams in different directions interweave in three-dimensional space to form a three-dimensional monitoring grid. This spatially distributed monitoring optical path effectively solves the local defects of traditional single-path monitoring, realizing real-time monitoring of aerosol concentration and three-dimensional location of fault points throughout the entire energy storage power station cabin.

[0023] In this embodiment, the laser emission module preferably uses a laser capable of generating a wavelength of 405nm. This is because: (1) it can generate a strong scattering signal, ensuring detection sensitivity. For 10~100 nanometer-scale ultrafine particles generated by thermal runaway of lithium batteries, the ratio of their diameter to the laser wavelength (d / λ) is less than 0.1, which is exactly in the Rayleigh scattering region. According to the Rayleigh scattering principle, the scattering intensity is inversely proportional to the fourth power of the wavelength (1 / λ). 4(2) Optimal performance balance in practical application scenarios. Compared with ultraviolet lasers with shorter wavelengths, 405nm lasers have more advantages in terms of technological maturity, cost control and ease of maintenance. They can inherit the high scattering sensitivity of short-wavelength lasers and avoid the problems of complex technology, high cost and difficult maintenance of ultraviolet lasers. Ultimately, they achieve the best balance between detection performance and system practicality (cost and reliability), making them the ideal choice for practical detection equipment.

[0024] like Figure 1 As shown, the signal processing module is electrically connected to each laser receiving module in the laser receiving array. It is configured to receive electrical signals and perform filtering and correction processing on the abnormal monitoring optical path based on the electrical signals. Based on the electrical signals corresponding to the processed monitoring optical path, the corresponding transmittance is determined, and the aerosol concentration on the corresponding monitoring optical path is determined according to the transmittance.

[0025] Specifically, to accurately distinguish between real fire aerosols and various complex environmental interferences, thereby ensuring ultra-high reliability of monitoring results, this invention performs filtering and correction processing on the abnormal monitoring optical path to exclude the electrical signal data corresponding to the abnormal monitoring optical path. In specific implementation, the signal processing module performs filtering processing on the abnormal monitoring optical path through the following steps.

[0026] First, the signal processing module receives the raw electrical signals corresponding to all monitored optical paths in parallel and extracts features from each raw electrical signal. Feature extraction here includes, but is limited to, acquiring one or more combinations of instantaneous transmittance, rate of change, and noise level. Instantaneous transmittance is a quantitative indicator of the ability of a light-transmitting medium (such as gas or liquid) to allow light signals to pass through at a specific moment. It directly reflects the strength of the signal. For example, when the concentration of the detected target (such as ultrafine particles) increases, the transmittance decreases. Its value can intuitively reflect the absolute level of the current signal, providing a basic reference for subsequent analysis. The rate of change refers to the instantaneous change in signal strength per unit time, expressed as the slope of the signal curve (positive slope during rise, negative slope during decay). It is used to characterize the "speed" of dynamic signal change and can be used to judge the urgency (e.g., a larger rate of change usually means a more urgent risk or abnormal situation). Noise level refers to the random fluctuations in a signal over a short period, mainly caused by non-target factors such as environmental disturbances of the detection system. It can be used to assess the reliability of detection results—a lower noise level indicates less interference with the signal, a higher degree of distinction between the real target signal and the interference, and can effectively avoid misjudgments caused by random fluctuations. In this embodiment, the signal processing module can periodically sample to obtain the electrical signal data output by the corresponding laser receiving module.

[0027] Secondly, the signal processing module determines whether the extracted feature values ​​deviate from the dynamic baseline, and marks the corresponding monitoring optical path as abnormal when a deviation occurs. Specifically, the signal processing module compares the extracted feature values ​​with the dynamic baseline to determine whether they deviate from the dynamic baseline, and marks the corresponding monitoring optical path as abnormal when a deviation from the dynamic baseline is determined. For example, if the deviation from the dynamic baseline is within a certain range, the corresponding monitoring optical path is marked as abnormal.

[0028] Secondly, based on the number of abnormal monitoring optical paths, it can be determined whether the anomaly is localized or complete.

[0029] Specifically, the signal processing module compares the characteristic values ​​of the electrical signals corresponding to all monitored optical paths with the dynamic baseline, and then determines whether the anomaly is local or total based on the number of abnormal monitored optical paths. If the number of abnormal monitored optical paths is less than a preset value, it is determined to be a local anomaly; otherwise, it is determined to be a total anomaly.

[0030] Finally, in response to the determination of a local anomaly, it is determined whether there is an anomaly in the adjacent monitoring optical paths of the anomaly monitoring optical path. If there is no anomaly, the data corresponding to the anomaly monitoring optical path is isolated, and a replacement data is generated based on the data corresponding to the adjacent normal monitoring optical path.

[0031] In response to the determination that it is a global anomaly, the system determines whether all monitored optical paths have experienced a synchronous instantaneous jump and then recovered based on time characteristics, and replaces the current data with the cached data from the previous sampling period.

[0032] Specifically, when a local anomaly is determined, the signal processing module further checks whether there are anomalies in adjacent monitoring optical paths. If the adjacent monitoring optical paths are normal, it is determined that the anomaly originates from local interference, such as lens stains or insect obstruction. The data corresponding to the anomaly is then marked as invalid and isolated, and replacement data is generated based on the data corresponding to adjacent normal monitoring optical paths. Generating replacement data based on the data corresponding to adjacent normal monitoring optical paths ensures the integrity and spatial continuity of the data chain. In practical implementation, a reliable replacement data can be generated in real time using a spatial interpolation algorithm (such as the inverse distance weighting method).

[0033] When a global anomaly is determined, the signal processing module further analyzes the temporal characteristics of the monitored optical paths. Based on these temporal characteristics, it determines whether all monitored optical paths exhibit a synchronous instantaneous jump followed by recovery. If all monitored optical paths exhibit a highly synchronous instantaneous jump followed by immediate recovery, it is identified as transient interference, such as electromagnetic pulses or mechanical vibrations. The current electrical signal data is then replaced with the electrical signal data acquired in the previous sampling period.

[0034] Furthermore, after identifying a global anomaly, the signal processing module will further analyze the transmittance trends of all monitored optical paths, focusing on identifying whether there is a synchronous and slow decrease in transmittance. If it is confirmed that the transmittance of all optical paths shows a synchronous and slow decreasing trend, it can be determined as a systematic drift (e.g., an overall performance shift caused by long-term factors such as widespread dust accumulation or laser aging). Dynamic baseline calibration is then performed, adjusting the reference points of the marked anomaly monitoring optical paths to ensure that the system sensitivity remains at a stable level.

[0035] After filtering and correcting the anomaly monitoring optical path, the signal processing module can output stable and reliable data, providing accurate data support for subsequent aerosol concentration calculation and alarm processing. Meanwhile, the filtering and correction scheme adopted in this invention, unlike traditional single-channel threshold judgment, enables a leap from isolated alarms to intelligent diagnosis.

[0036] In this embodiment, the dynamic baseline has the ability to dynamically adjust: the reliable and stable data output after filtering and correction will be input into the dynamic baseline model in real time, enabling it to continuously learn changes in environmental characteristics and dynamically adapt, ensuring that the baseline always remains consistent with the current environmental state, thereby further improving the system's recognition accuracy of target signals.

[0037] Furthermore, after filtering and correcting the abnormal monitoring optical path, the signal processing module can output stable and reliable data, and then use this data to calculate the transmittance of each monitoring optical path, and calculate the corresponding aerosol concentration based on the transmittance data.

[0038] Specifically, the transmittance can be calculated using the following formula: transmittance T = I / I0, where I is the light intensity data corresponding to the current monitoring optical path (i.e., the electrical signal data output by the corresponding laser receiver), and I0 is the basic light intensity data. This basic light intensity data can be obtained in the following way: during the system startup phase, all lasers and detectors are turned on, and the initial transmitted light intensity I0 is recorded in a clean air environment. This is then stored as the baseline value for each monitoring channel for subsequent real-time data comparison.

[0039] Aerosol concentration can be calculated using the Lambert-Beer Law formula as follows: C i =-(1 / kL)*ln(Ti), Among them, C i The average aerosol concentration corresponding to the i-th monitoring optical path is represented, i.e., the mass or number concentration of suspended particulate matter per unit volume of air; k represents the aerosol extinction coefficient; L represents the actual path length of the laser propagation in the monitoring optical path; T i This represents the transmittance (or transmittance) of the i-th monitoring optical path.

[0040] like Figure 1As shown, the alarm processing module is connected to the signal processing module. It is configured to determine whether the alarm conditions are met based on the aerosol concentration corresponding to each monitoring optical path, and output a graded alarm signal when the conditions are met, as well as output the spatial location information of the risk point.

[0041] Specifically, the alarm processing module compares the aerosol concentration corresponding to each monitoring optical path with a first threshold. When it is determined that the aerosol concentration corresponding to a monitoring optical path exceeds the first threshold C1, the monitoring optical path is identified as abnormal. The module further determines whether the aerosol concentrations corresponding to adjacent monitoring optical paths exceed the first threshold. If both exceed the first threshold, spatial cross-analysis is used to determine the center point of the abnormal region, i.e., the suspected thermal runaway location. At this point, the alarm processing module outputs a level-one alarm message, indicating the potential risk and the suspected thermal runaway location.

[0042] When the alarm processing module determines that the aerosol concentration corresponding to multiple monitoring optical paths has increased sharply, or the aerosol concentration corresponding to the core monitoring optical path in the location area exceeds the higher second threshold C2, a secondary alarm message, such as a fire alarm, is triggered.

[0043] The system also includes a fine-tuning module (not shown in the figure), which is configured to fine-tune the power of the laser emitting module or the sensitivity of the laser receiving module based on self-test results, where the self-test results are based on a comparison of the current measurement value with a reference value. Specifically, the system can periodically or upon receiving an instruction, fine-tuning the laser power or detector sensitivity via the fine-tuning module to compensate for light intensity attenuation caused by slight contamination of the optical window or device aging, and to prevent false alarms.

[0044] This invention also discloses a method for monitoring fires at the compartment level in an energy storage power station. Based on the aforementioned fire monitoring system at the compartment level in an energy storage power station, the method includes the following steps: Each laser emitting module in the laser emitting array emits a laser beam, and multiple laser beams form a spatially distributed monitoring optical path within the energy storage power station cabin; Each laser receiving module in the laser receiving array receives the laser beam and converts the laser beam optical signal into an electrical signal. The signal processing module receives electrical signals and performs filtering and correction processing on the abnormal monitoring optical path based on the electrical signals. Based on the electrical signals corresponding to the processed monitoring optical path, it determines the corresponding transmittance and determines the aerosol concentration on the corresponding monitoring optical path based on the transmittance. The alarm processing module determines whether the alarm conditions are met based on the aerosol concentration corresponding to each monitoring optical path, and outputs a graded alarm signal and the spatial location information of the risk point when the conditions are met.

[0045] Each step corresponds to the function implemented by the above modules, and will not be described in detail here.

[0046] This invention constructs a three-dimensional "optical monitoring matrix grid" by setting up an array of laser modules inside the energy storage power station compartment. This grid can fully cover the internal space of the energy storage power station compartment, achieving monitoring of all battery cabinets / modules without blind spots. At the same time, by leveraging the independence of optical paths and spatial cross-analysis, it can accurately locate the location of risk points, solving the problems of incomplete spatial coverage or ambiguous positioning in traditional monitoring.

[0047] This invention also constructs a three-dimensional "optical monitoring matrix grid" by using a 405nm laser, which can generate strong scattering signals for 10-100 nanometer-scale ultrafine aerosol particles based on the Rayleigh scattering principle, ensuring high sensitivity detection of early characteristics of lithium battery thermal runaway, while taking into account technological maturity, cost and ease of maintenance, achieving the best balance between sensitivity and practicality.

[0048] This invention also effectively distinguishes between real fire aerosols and environmental interference such as lens stains and electromagnetic interference by using a filtering correction method in the signal processing stage. Combined with multi-channel data fusion algorithm and dynamic baseline calibration, it significantly reduces the false alarm rate and achieves a leap from isolated alarms to intelligent diagnosis.

[0049] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0050] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0051] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0052] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0053] The foregoing description of specific exemplary embodiments of the invention is for illustrative and explanatory purposes. These descriptions are not intended to limit the invention to the precise forms disclosed, and it will be apparent that many changes and variations can be made in accordance with the foregoing teachings. The exemplary embodiments were chosen and described in order to explain the specific principles of the invention and its practical application, thereby enabling those skilled in the art to implement and utilize various different exemplary embodiments of the invention, as well as various different choices and variations. The scope of the invention is intended to be defined by the claims and their equivalents.

Claims

1. An energy storage plant bay level fire monitoring system, comprising: The application relates to a laser monitoring device for monitoring aerosol concentration in a power storage cabin. The laser monitoring device comprises a laser emission array arranged in the power storage cabin, a laser receiving array arranged in the power storage cabin, a signal processing module, and an alarm processing module. The laser emission array comprises a plurality of laser emission modules, each of which is configured to emit a laser beam. The laser receiving array comprises a plurality of laser receiving modules, which are matched in number and corresponding in position to the laser emission modules. Each laser receiving module is configured to receive a corresponding laser beam in a monitoring light path and convert the laser beam optical signal into an electrical signal.

2. The energy storage plant bay level fire monitoring system of claim 1, wherein, The signal processing module is connected to the laser receiving array and is configured to receive the electrical signal and filter and correct an abnormal monitoring light path based on the electrical signal. The signal processing module is further configured to determine the corresponding light transmittance based on the processed electrical signal of the monitoring light path and determine the aerosol concentration on the corresponding monitoring light path according to the light transmittance.

3. The energy storage plant bay level fire monitoring system of claim 1, wherein, The alarm processing module is connected to the signal processing module and is configured to determine whether the aerosol concentration of each monitoring light path meets the alarm condition.

4. The energy storage plant bay level fire monitoring system of claim 1, wherein, If the alarm condition is met, the alarm processing module outputs a hierarchical alarm signal and outputs the spatial position information of the risk point. The spatially distributed monitoring light path comprises one or more laser planes. Each laser plane is formed by a plurality of monitoring light paths. The laser emission module is a laser that can generate a 405nm wavelength laser. The signal processing module filters and corrects the abnormal monitoring light path based on the electrical signal. The signal processing module extracts features based on the electrical signal of the monitoring light path.

5. The energy storage plant bay level fire monitoring system of claim 4, wherein, The features include one or a combination of instantaneous light transmittance, change rate, and noise level. The signal processing module determines whether the extracted feature value deviates from the dynamic baseline.

6. The energy storage plant bay level fire monitoring system of claim 4, wherein, If the feature value deviates from the dynamic baseline, the corresponding monitoring light path is marked as abnormal.

7. The energy storage plant bay level fire monitoring system of claim 1, wherein, The signal processing module determines whether the abnormal monitoring light path is a local anomaly or a global anomaly. If the abnormal monitoring light path is a local anomaly, the signal processing module determines whether the adjacent monitoring light path of the abnormal monitoring light path is abnormal. If the adjacent monitoring light path is not abnormal, the signal processing module isolates the data corresponding to the abnormal monitoring light path and generates a replacement data based on the data of the adjacent normal monitoring light path. If the abnormal monitoring light path is a global anomaly, the signal processing module determines whether all monitoring light paths appear to have a synchronous instantaneous jump and then recover based on the time characteristics. If the answer is yes, the signal processing module replaces the current data with the data cached in the last sampling period. The signal processing module generates the replacement data based on the data of the adjacent normal monitoring light path through a spatial interpolation algorithm. If the abnormal monitoring light path is a global anomaly, the signal processing module analyzes the light transmittance trend of all monitoring light paths and determines whether there is a synchronous and slow decline feature. If the answer is yes, the signal processing module determines that it is a systematic drift and adjusts the reference point through dynamic baseline calibration. The alarm processing module determines whether the aerosol concentration of each monitoring light path exceeds a first threshold value. If the aerosol concentration of the monitoring light path exceeds the first threshold value, the alarm processing module determines that the monitoring light path is abnormal. The alarm processing module further determines whether the aerosol concentration of the adjacent monitoring light path exceeds the first threshold value. In response to the values exceeding the first threshold, a spatial cross analysis is performed to determine the center point of the abnormal area, and first-level alarm information and spatial position information are output.

8. The energy storage plant bay level fire monitoring system of claim 7, wherein, The alarm processing module determines whether an alarm condition is met based on the aerosol concentration corresponding to each monitoring light path, and outputs a hierarchical alarm signal when the condition is met, and outputs spatial position information of a risk point. The system further comprises: The fine-tuning module is configured to fine-tune the power of the laser emission module or the sensitivity of the laser receiving module based on a self-checking result, which is based on a comparison between the current measurement value and the reference value.

9. The energy storage plant bay level fire monitoring system of claim 1, wherein, The system further comprises: Each laser emission module in the laser emission array emits a laser beam, and a plurality of the laser beams form a spatially distributed monitoring light path in the energy storage station cabin.

10. A method for monitoring fires at the compartment level in an energy storage power station, characterized in that, Each laser receiving module in the laser receiving array receives a laser beam and converts the laser beam optical signal into an electrical signal. The signal processing module receives the electrical signal and filters and corrects the abnormal monitoring light path based on the electrical signal, determines the corresponding light transmittance based on the processed electrical signal corresponding to the monitoring light path, and determines the aerosol concentration on the corresponding monitoring light path according to the light transmittance. The alarm processing module determines whether an alarm condition is met based on the aerosol concentration corresponding to each monitoring light path, and outputs a hierarchical alarm signal when the condition is met, and outputs spatial position information of a risk point. ​ ​

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