Safety monitoring and early warning method of energy storage cabinet and related device

Abstract

The invention discloses a safety monitoring and early warning method of an energy storage cabinet and a related device, the method is applied to an Internet of Things platform, the method comprises the following steps: a plurality of first monitoring matrixes are constructed according to a plurality of received first data uploaded by a plurality of first pressure sensors, the plurality of first pressure sensors are deployed on a plurality of first surfaces, and a plurality of second monitoring matrixes are constructed according to a plurality of second data uploaded by a plurality of second pressure sensors; the plurality of first surfaces are surfaces outside the shell of the energy storage cabinet except the ground plane, and each first monitoring matrix corresponds to one first surface; determining a first impact description of each first surface in the plurality of first surfaces according to each first monitoring matrix in the plurality of first monitoring matrixes to obtain a plurality of first impact descriptions; determining a second impact description of the energy storage cabinet according to the plurality of first impact descriptions; and determining an early warning level according to the second impact description and triggering a corresponding execution instruction. According to the invention, quick response to emergency situations can be realized, and the reliability and safety of the energy storage cabinet are improved.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage equipment, and in particular to a safety monitoring and early warning method for an energy storage cabinet and related devices. Background Art

[0002] As the demand for energy in various fields continues to increase, energy storage cabinets, as important equipment for storing and releasing electrical energy, play an important role in various fields. However, energy storage cabinets are often affected by various factors during operation, and it is currently impossible to fully monitor the operation process of energy storage cabinets. Therefore, when an emergency occurs in the energy storage cabinet, it is impossible to respond in time, and it is difficult to troubleshoot the safety hazards of the energy storage cabinet, which in turn affects the normal operation of the energy storage cabinet. Summary of the invention

[0003] The embodiments of the present application provide a safety monitoring and early warning method for an energy storage cabinet and related devices, which can achieve rapid response to emergencies and improve the reliability and safety of the energy storage cabinet.

[0004] In a first aspect, an embodiment of the present application provides a safety monitoring and early warning method for an energy storage cabinet, which is applied to an Internet of Things platform, including:

[0005] Obtaining multiple first monitoring matrices according to multiple first data uploaded by multiple first pressure sensors, wherein the multiple first pressure sensors are deployed on multiple first surfaces, which are surfaces outside the shell of the energy storage cabinet except the grounding surface, and a single first monitoring matrix corresponds to a single first surface;

[0006] determining a first impact description of each first surface in the plurality of first surfaces according to each first monitoring matrix in the plurality of first monitoring matrices, to obtain a plurality of first impact descriptions;

[0007] Determine a second impact description of the energy storage cabinet according to the multiple first impact descriptions;

[0008] A warning level is determined according to the second impact description and a corresponding execution instruction is triggered.

[0009] In a second aspect, an embodiment of the present application provides a safety monitoring and early warning device for an energy storage cabinet, which is applied to an Internet of Things platform, including:

[0010] A receiving unit, configured to obtain a plurality of first monitoring matrices according to a plurality of first data uploaded by a plurality of first pressure sensors, wherein the plurality of first pressure sensors are deployed on a plurality of first surfaces, which are surfaces outside the shell of the energy storage cabinet except the grounding surface, and a single first monitoring matrix corresponds to a single first surface;

[0011] A first determining unit, configured to determine a first impact description of each first surface of the plurality of first surfaces according to each first monitoring matrix of the plurality of first monitoring matrices, to obtain a plurality of first impact descriptions;

[0012] a second determining unit, configured to determine a second impact description of the energy storage cabinet according to the plurality of first impact descriptions;

[0013] The third determining unit is used to determine a warning level according to the second impact description and trigger a corresponding execution instruction.

[0014] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and an executable program code stored in the memory and executable on the processor, wherein the processor executes the steps of the method in the first aspect when executing the executable program code.

[0015] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having executable program code stored thereon, wherein the executable program code includes execution instructions, and the execution instructions are used to execute the steps of the method described in the first aspect.

[0016] In a fifth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the first aspect of the embodiment of the present application. The computer program product may be a software installation package.

[0017] It can be seen that in the embodiment of the present application, firstly, according to the multiple first data uploaded by the multiple first pressure sensors, multiple first monitoring matrices are obtained, the multiple first pressure sensors are deployed on multiple first surfaces, the multiple first surfaces are the surfaces outside the shell of the energy storage cabinet except the grounding surface, and a single first monitoring matrix corresponds to a single first surface; according to each first monitoring matrix in the multiple first monitoring matrices, the first impact description of each first surface in the multiple first surfaces is determined to obtain multiple first impact descriptions; according to the multiple first impact descriptions, the second impact description of the energy storage cabinet is determined; according to the second impact description, the warning level is determined and the corresponding execution instruction is triggered. Compared with the emergency protection functions and measures of the existing energy storage cabinets that are overly dependent on internal sensor triggering, the present application installs multiple pressure sensors on multiple surfaces outside the shell of the energy storage cabinet, and receives and processes the monitoring data collected by the pressure sensors through the Internet of Things platform, thereby realizing decoupling from the internal monitoring system and improving the comprehensiveness and flexibility of monitoring; at the same time, according to the integrated processing of the monitoring data of multiple surfaces outside the shell of the energy storage cabinet, the sudden external conditions are judged, and a rapid response to the sudden conditions is achieved, thereby improving the reliability and safety of the energy storage cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 is a system architecture diagram of an external monitoring system provided by an embodiment of the present application;

[0020] Figure 2 It is a flow chart of a safety monitoring and early warning method for an energy storage cabinet provided in an embodiment of the present application;

[0021] Figure 3 is a schematic diagram of an installation of a pressure sensor provided in an embodiment of the present application;

[0022] Figure 4 This is a functional unit composition block diagram of a safety monitoring and early warning device for an energy storage cabinet provided in an embodiment of the present application;

[0023] Figure 5 This is a functional unit composition block diagram of another safety monitoring and early warning device for an energy storage cabinet provided in an embodiment of the present application;

[0024] Figure 6 It is a structural schematic diagram of an electronic device proposed in an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0027] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0028] The energy storage cabinet is often affected by various factors during operation. It is currently impossible to fully monitor the operation process of the energy storage cabinet. Therefore, when an emergency occurs in the energy storage cabinet, it is impossible to respond in time, and it is difficult to troubleshoot the safety hazards of the energy storage cabinet, which in turn affects the normal operation of the energy storage cabinet.

[0029] In view of the above problems, an embodiment of the present application provides a safety monitoring and early warning method and related devices for an energy storage cabinet. The embodiment of the present application is described in detail below in conjunction with the accompanying drawings.

[0030] See also Figure 1 , Figure 1 1 is a system architecture diagram of an external monitoring system provided by an embodiment of the present application. Figure 1 As shown, the external monitoring system 100 includes a receiving module 101, a data processing module 102, and a strategy processing module 103. The receiving module 101, the data processing module 102, and the strategy processing module 103 are interconnected. The receiving module 101 is used to receive data uploaded by multiple pressure sensors on multiple surfaces outside the energy storage cabinet shell, and transmit the data uploaded by the pressure sensor to the data processing module 102 after receiving the data uploaded by the pressure sensor. The data processing module 102 is used to construct a pressure monitoring matrix for each surface according to the identification information of the pressure sensor, and then analyze and process the pressure monitoring matrix of each surface to obtain the external impact faced by each surface, and then obtain the external impact of the energy storage cabinet as a whole by integrating the external impact faced by each of the above surfaces, and at the same time, the external impact of the energy storage cabinet as a whole obtained by the final processing is transmitted to the strategy processing module 103. The strategy processing module 103 is used to formulate and execute a response strategy according to the external impact of the energy storage cabinet as a whole, such as sending instructions to terminal devices connected to the Internet of Things, etc.

[0031] Based on this, the present application provides a safety monitoring and early warning method for an energy storage cabinet and related devices, and the present application is described in detail below in conjunction with the accompanying drawings.

[0032] See also Figure 2 , Figure 2 is a flow chart of a safety monitoring and early warning method for an energy storage cabinet provided in an embodiment of the present application, such as Figure 2 As shown, the method comprises the following steps:

[0033] S210, obtaining a plurality of first monitoring matrices according to a plurality of first data received and uploaded by a plurality of first pressure sensors.

[0034] The multiple first pressure sensors are deployed on multiple first surfaces, which are surfaces outside the shell of the energy storage cabinet except the grounding surface, and a single first monitoring matrix corresponds to a single first surface.

[0035] Among them, see Figure 3 , Figure 3 is a schematic diagram of the installation of a pressure sensor provided in an embodiment of the present application, such as Figure 3 As shown, multiple pressure sensors are deployed on the surface of the energy storage cabinet shell. Except for one side of the energy storage cabinet shell in contact with the ground, the other five sides are all deployed with pressure sensors. An exemplary surface is deployed with 4*4 pressure sensors, and each pressure sensor is numbered. The number in each circle is the number of each pressure sensor, which consists of 3 numbers, wherein the first number represents the corresponding surface number of the energy storage cabinet shell, the second number is the row number of the pressure sensor, and the third number is the column number of the pressure sensor. For example, 3-4-4 represents the pressure sensor in the fourth row and fourth column of the third side of the energy storage cabinet shell.

[0036] Among them, the pressure values ​​of the pressure sensors on five surfaces may be collected every second and transmitted to the Internet of Things platform via wired or wireless means. The data uploaded by each pressure sensor includes the sensor's own status data, such as identification ID, working status, communication signal, etc., as well as the pressure value monitored by the sensor, and data quality-related data reflecting the accuracy of the pressure value measurement, etc. The pressure number matrix Fn and the pressure time matrix En of each surface are obtained based on the above data, where n represents the surface of the energy storage cabinet shell where the pressure sensor is located, and then the first monitoring matrix of each surface is constructed based on the pressure number matrix Fn and the pressure time matrix En.

[0037] The received multiple first data are multiple data within a preset time period, for example, data within 10 seconds.

[0038] S220: Determine a first impact description of each first surface in the plurality of first surfaces according to each first monitoring matrix in the plurality of first monitoring matrices to obtain a plurality of first impact descriptions.

[0039] Specifically, determining the first impact description of each first surface in the multiple first surfaces according to each first monitoring matrix in the multiple first monitoring matrices to obtain multiple first impact descriptions includes: extracting the impact features of each first monitoring matrix to obtain multiple impact features; determining the feature strength of each impact feature in the multiple impact features to obtain multiple feature strengths; determining the first priority of each first surface according to the multiple feature strengths; determining at least one first impact parameter of each first surface according to the first priority of each first surface and the multiple impact features; determining the first impact description of each first surface according to the at least one first impact parameter of each first surface to obtain the multiple first impact descriptions.

[0040] The impact characteristics include at least one of the following: waveform information, amplitude information, time information, spectrum information and spatial impact difference information.

[0041] Among them, the waveform information can measure the characteristic strength according to the waveform shape and the rate of change of the waveform. For example, the more complex the waveform, the higher the characteristic strength is. The waveform with a large rate of change, such as a steep pulse waveform, has a higher characteristic strength.

[0042] Among them, the amplitude information can measure the characteristic intensity according to the peak value and the amplitude range. For example, the larger the peak value, the greater the instantaneous force or energy input on the impacted object, and the higher the characteristic intensity. A large amplitude fluctuation range indicates that the change in energy or force during the impact process is more drastic, and the characteristic intensity is also correspondingly higher.

[0043] Among them, time information can measure the characteristic intensity according to duration, rise time and fall time. For example, the longer the impact lasts, the greater the cumulative effect on the object and the higher the characteristic intensity. A short rise time of the impact means that the impact reaches the peak quickly and the instantaneous loading effect on the object is strong; a long fall time may indicate that the recovery process after the impact is slow and the object is in an affected state for a long time, so the characteristic intensity is also correspondingly high.

[0044] Among them, the spectrum information can be used to measure the characteristic intensity according to the dominant frequency and the frequency distribution width. For example, a higher dominant frequency usually indicates that the impact energy is concentrated in the high frequency band. High-frequency vibration has a greater impact on aspects such as fatigue damage of materials. The wide frequency distribution range indicates that the impact contains multiple frequency components, which may excite more natural frequencies of the impacted object and trigger more complex vibration responses, resulting in a higher characteristic intensity.

[0045] Among them, the spatial impact difference information can measure the characteristic intensity according to the impact position difference and the uniformity of impact distribution. For example, if the impact is concentrated on the key parts or weak links of the object, its characteristic intensity should also be considered high. Uneven impact distribution may cause excessive local force on the object, resulting in stress concentration, and thus the characteristic intensity is also high.

[0046] The feature intensity corresponding to each impact feature is weightedly summed to obtain the total feature intensity of each surface, and then the priority of each surface to determine the impact description is obtained according to the total feature intensity of each surface, that is, the first priority of each surface.

[0047] Specifically, a single first surface corresponds to an impact parameter set, and the impact parameter set includes multiple preset impact parameters. Determining at least one first impact parameter of each first surface according to the first priority of each first surface and the multiple impact characteristics includes: determining a data dependency relationship between any preset impact parameters among the multiple preset impact parameters of each first surface; and determining at least one first impact parameter of each first surface according to the data dependency relationship between any preset impact parameters among the multiple preset impact parameters of each first surface and the multiple impact characteristics according to the first priority of each first surface.

[0048] The impact parameter set includes impact type, impact intensity, impact direction, impact duration, and impact frequency.

[0049] Specifically, determining the data dependency relationship between any preset impact parameters among the multiple preset impact parameters of each first surface includes: obtaining the second priority of each preset impact parameter among the multiple preset impact parameters of each first surface, and the association relationship between any preset impact parameters among the multiple preset impact parameters of each first surface; correcting the second priority of each preset impact parameter among the multiple preset impact parameters of each first surface according to the impact characteristics corresponding to each first surface, and obtaining the third priority of each preset impact parameter among the multiple preset impact parameters of each first surface; obtaining the data dependency relationship between any preset impact parameters among the multiple preset impact parameters of each first surface according to the third priority of each preset impact parameter among the multiple preset impact parameters of each first surface and the association relationship between any preset impact parameters among the multiple preset impact parameters of each first surface.

[0050] Among them, each preset impact parameter corresponds to a priority in advance, and there is a correlation between any multiple preset impact parameters. For example, the impact duration and impact frequency will affect the impact intensity, and the impact direction can be verified according to the impact type and impact intensity.

[0051] Among them, for a certain first surface, the characteristic strengths of multiple impact features under the surface can be compared to determine whether it is necessary to modify the preset priority of the preset impact parameter, that is, the second priority. If correction is required, the third priority of each preset impact parameter is obtained according to the characteristic strengths of the multiple impact features. Further, the data dependency relationship between the preset impact parameters is constructed according to the priority of each preset impact parameter after correction and the association relationship between the preset impact parameters described above. Exemplarily, the data dependency relationship between the impact type and the characteristics of other parameters can be: the impact type determines the range or characteristics of other parameters, or the impact type is reversely deduced according to the range or characteristics of other parameters. If the impact type is an explosion impact, its frequency range may be wide, containing high-frequency components, and the duration is relatively short, which may be in the millisecond level. The impact intensity is extremely high near the explosion center and propagates to the surrounding areas in the form of shock waves. The impact direction mainly radiates from the explosion center to the surrounding areas.

[0052] Furthermore, according to the determined priority, the current parameters can be determined, verified, and corrected with reference to the characteristics of the determined parameters, such as correcting the impact strength according to the impact duration and impact frequency. Specifically, the time correction coefficient is determined according to the dynamic response characteristics of the material and the impact time, the frequency correction coefficient is determined according to the impact frequency, and the impact strength is corrected according to the time correction coefficient and the frequency correction coefficient. For example, the impact direction can be verified according to the impact type and impact intensity.

[0053] According to the order of the first priority, a first impact parameter of each surface is determined, and the first impact parameter is any parameter in the impact parameter set. According to the priority of each preset impact parameter, with reference to the data dependency, at least one impact parameter of the surface is determined according to the impact characteristics of the surface, for example, the impact type and impact intensity are determined.

[0054] For example, the impact direction can be determined based on the distribution of external pressure on the surface and the response time of each pressure sensor; the external impact duration can be determined based on the time span from the external pressure starting to change (such as exceeding a certain threshold) to returning to stability (or close to stability); the pressure change data can be subjected to spectrum analysis. For example, the pressure-time signal is converted from the time domain to the frequency domain using a fast Fourier transform, and the main frequency components are found in the frequency domain to obtain the impact frequency.

[0055] It can be seen that in the embodiments of the present application, by focusing on key surfaces and key parameters, the impact situation is fully understood, providing an accurate basis for the subsequent adoption of specific response strategies.

[0056] Specifically, determining the first impact description of each first surface according to at least one first impact parameter of each first surface to obtain the multiple first impact descriptions includes: determining the data accuracy of each first impact parameter of at least one first impact parameter of a first surface i, where the first surface i is any one of the multiple first surfaces; determining whether auxiliary information is required according to the data accuracy of each first impact parameter; if the auxiliary information is required, receiving multiple second data and external environment data, the multiple second data are data uploaded by multiple second pressure sensors, the multiple second pressure sensors are deployed on a second surface, and the second surface is a surface inside the shell of the energy storage cabinet corresponding to the first surface i; obtaining a second monitoring matrix according to the multiple second data; updating at least one first impact parameter of the first surface i according to the second monitoring matrix and the external environment data; and determining the first impact description of the first surface i according to the at least one first impact parameter of the first surface i after being updated.

[0057] Among them, determining whether auxiliary information is needed based on data accuracy can indicate that the data accuracy of the pressure sensor is insufficient, that is, the external environmental data affects the performance of the pressure sensor, resulting in insufficient accuracy of the data uploaded by the pressure sensor, such as humidity, temperature, electromagnetic interference, etc., so auxiliary information is needed. Among them, sensors for measuring the environment can be interspersed between pressure sensors, and can also be set according to the actual environment.

[0058] Among them, it is determined that auxiliary information is needed based on the data accuracy, and it can also be indicated that the data accuracy corresponding to the N first impact parameters is insufficient, that is, there are multiple possibilities for a single impact parameter, and auxiliary information is needed, where N is a positive integer greater than a preset number. It can also be indicated that auxiliary information is needed when at least one high-priority preset impact parameter of a certain surface cannot be accurately determined. Exemplarily, when multiple impact types are superimposed or the pressure matrix data is severely interfered and the resolution is insufficient, it may not be possible to accurately determine the impact type; when there are multiple impact sources and the position is uncertain, or when the pressure encounters complex reflections, refractions, etc. during the propagation process, the pressure change order and gradient presented by the pressure matrix may not truly reflect the initial direction of the impact. In the above cases, auxiliary information is needed to accurately determine the impact parameters.

[0059] The auxiliary information includes data uploaded by the pressure sensor inside the housing which is not affected by the external environment and the monitored external environment data. The format of the second monitoring matrix is ​​the same as that of the first monitoring matrix.

[0060] Among them, for the impact type, it can be updated according to the change characteristics of the internal and external pressure difference. The change characteristics of the internal and external pressure difference include transient difference change and continuous difference change. Under transient difference change, if the external pressure suddenly increases sharply, while the internal pressure remains almost unchanged in a short period of time, and the internal and external pressure difference increases rapidly, this may indicate an external collision impact or explosion impact. Under continuous difference change, if the external pressure continues to be higher than the internal pressure and the internal and external pressure difference remains relatively constant, it may be affected by the static pressure of the external fluid.

[0061] Among them, for the impact strength, the internal and external impact strengths are measured according to the ratio of the pressure change to the initial pressure, and further, the external impact strength is corrected and updated according to the internal impact strength. Among them, a temperature and humidity sensor is added to the surface of the energy storage cabinet shell to determine the impact of temperature and humidity on the pressure value, and then determine the initial pressure. Among them, the initial pressure is also related to the internal and external environment.

[0062] For the impact direction, the extracted internal impact features are updated, such as the distribution of the internal pressure on the surface and the response time of each second pressure sensor. For the impact duration, the impact is updated according to the influence of the internal pressure regulation system on the pressure duration. For the impact frequency, the periodic factors of the external environment are analyzed, the fluctuation law of the internal pressure data is compared, and a system model is established for simulation and inference, thereby achieving updates.

[0063] Each updated first impact parameter is integrated to obtain a first impact description of the surface.

[0064] Specifically, after updating at least one first impact parameter of the first surface i according to the second monitoring matrix and the external environment data, the method also includes: if the number of parameters of the first impact parameters of the first surface i is less than a preset threshold, obtaining at least one first impact parameter of each first surface k in at least one first surface k, a single first surface k being any first surface adjacent to the first surface i; determining at least one second impact parameter of the first surface i according to the at least one first impact parameter of each first surface k and the first priority of each first surface k; determining the first impact description of the first surface i according to the at least one first impact parameter updated by the first surface i, includes: determining the first impact description of the first surface i according to the at least one first impact parameter updated by the first surface i and the at least one second impact parameter of the first surface i.

[0065] Wherein, when the number of impact parameters corresponding to the first surface i is less than a preset threshold, the impact parameters are re-determined in combination with the impact parameters of the adjacent first surfaces. Wherein, the reference weight is determined according to the first priority of the adjacent first surfaces. Wherein, there may be overlapping impact parameters in at least one first impact parameter and at least one second impact parameter, and the first impact parameters and the second impact parameters are integrated to obtain the impact description of the first surface i.

[0066] It can be seen that in the embodiments of the present application, by combining the auxiliary information, the detailed characteristics of the impact are deeply understood, thereby improving the accuracy of the impact description.

[0067] S230: Determine a second impact description of the energy storage cabinet according to the multiple first impact descriptions.

[0068] Specifically, determining the second impact description of the energy storage cabinet according to the multiple first impact descriptions includes: determining the similarity between any two first impact descriptions in the multiple first impact descriptions; and merging the multiple first impact descriptions according to the similarity to obtain the second impact description.

[0069] The similarity of the impact descriptions may be the semantic similarity of the impact descriptions, and the multiple first impact descriptions are merged in combination with the position of each surface. For example, if the impact type and / or the attack body are the same, the corresponding similarity is high.

[0070] Among them, the impact descriptions under the same impact type are integrated and determined. For the same impact type, whether each surface is the same attack body is determined according to the impact strength and impact direction of each surface. For the same attack body, the main attack surface and the secondary attack surface are determined, and the impact description of the main attack surface is corrected by the impact description of the secondary attack surface, and the corrected impact description of the main attack surface is used as the impact description of the same attack body.

[0071] Furthermore, the impact direction of the same attack body is analyzed, and the impact direction vectors of each secondary attack surface are decomposed onto the coordinate axis by establishing a three-dimensional rectangular coordinate system, and the corresponding weights are determined for the directions of each secondary attack surface considering the impact intensity and area size of each secondary attack surface, and then synthesized to obtain the overall impact direction of the secondary attack surface. The impact direction of the main attack surface is adjusted according to the overall impact direction of the secondary attack surface to obtain the impact direction of the same attack body.

[0072] Among them, for different impact types, the position of each impact surface corresponding to the different types is considered, and the adjustment direction of other impact surfaces is determined according to the position of the impact surface and the impact intensity, and then the impact description of other impact surfaces is adjusted according to the adjustment direction to obtain the impact description of each impact type.

[0073] S240: Determine a warning level according to the second impact description and trigger a corresponding execution instruction.

[0074] Among them, the warning level can be determined according to the impact strength of the energy storage cabinet. Each warning level has corresponding execution measures. For example, for the first warning (serious), the impact description can be: high-speed impact, extremely high impact strength, close to or exceeding the limit that the structure can withstand; the impact frequency is very high and lasts for a long time; the impact direction has a direct impact on key parts. The corresponding execution measures can be: first, immediately start the emergency shutdown procedure to stop the operation of related equipment or systems to avoid serious damage or accidents; then issue an alarm to all relevant personnel to indicate the dangerous situation; and automatically start the backup safety protection device to reduce the impact on the equipment or structure; at the same time, send an emergency notice to the remote monitoring center and relevant persons in charge, reporting the impact situation and equipment status in detail. For example, for the fourth level warning (lighter), the impact description can be: the impact of a small object falling, the impact intensity is low, and it occurs occasionally; the impact frequency is low, and the impact on the equipment is small; the impact direction has no obvious impact on the overall equipment. The corresponding implementation measures can be: first, send a prompt message to the operator to inform him that there is a slight impact, but it will not affect normal operation; then perform equipment maintenance according to the normal maintenance plan, and pay attention to changes in the impact situation. If there is a trend of worsening, report it in time; and record and statistically analyze the impact data to observe whether there are regular or abnormal changes, so as to provide a reference for subsequent evaluation.

[0075] It can be seen that in the embodiment of the present application, multiple pressure sensors are installed on multiple surfaces outside the shell of the energy storage cabinet, and the monitoring data collected by the pressure sensors are received and processed through the Internet of Things platform, thereby achieving decoupling from the internal monitoring system and improving the comprehensiveness and flexibility of monitoring; at the same time, based on the integrated processing of the monitoring data of multiple surfaces outside the shell of the energy storage cabinet, sudden external conditions are judged, and a rapid response to sudden conditions is achieved, thereby improving the reliability and safety of the energy storage cabinet.

[0076] For the above embodiments, please refer to Figure 4 , Figure 4 is a functional unit block diagram of a safety monitoring and early warning device for an energy storage cabinet provided in an embodiment of the present application, such as Figure 4As shown, the safety monitoring and early warning device 40 of the energy storage cabinet includes: a receiving unit 41, which is used to obtain multiple first monitoring matrices according to multiple first data uploaded by multiple first pressure sensors, wherein the multiple first pressure sensors are deployed on multiple first surfaces, and the multiple first surfaces are surfaces outside the shell of the energy storage cabinet except the grounding surface, and a single first monitoring matrix corresponds to a single first surface; a first determining unit 42, which is used to determine a first impact description of each first surface in the multiple first surfaces according to each first monitoring matrix in the multiple first monitoring matrices, and obtain multiple first impact descriptions; a second determining unit 43, which is used to determine a second impact description of the energy storage cabinet according to the multiple first impact descriptions; and a third determining unit 44, which is used to determine a warning level according to the second impact description and trigger a corresponding execution instruction.

[0077] In a possible embodiment, in terms of determining the first impact description of each first surface in the multiple first surfaces according to each first monitoring matrix in the multiple first monitoring matrices to obtain multiple first impact descriptions, the first determination unit 42 is specifically used to: extract the impact features of each first monitoring matrix to obtain multiple impact features; determine the feature strength of each impact feature in the multiple impact features to obtain multiple feature strengths; determine the first priority of each first surface according to the multiple feature strengths; determine at least one first impact parameter of each first surface according to the first priority of each first surface and the multiple impact features; determine the first impact description of each first surface according to the at least one first impact parameter of each first surface to obtain the multiple first impact descriptions.

[0078] In a possible embodiment, in terms of determining the first impact description of each first surface according to at least one first impact parameter of each first surface to obtain the multiple first impact descriptions, the first determination unit 42 is further specifically used to: determine the data accuracy of each first impact parameter of at least one first impact parameter of a first surface i, where the first surface i is any surface among the multiple first surfaces; determine whether auxiliary information is required according to the data accuracy of each first impact parameter; if the auxiliary information is required, receive multiple second data and external environment data, where the multiple second data are data uploaded by multiple second pressure sensors, and the multiple second pressure sensors are deployed on a second surface, where the second surface is a surface inside the shell of the energy storage cabinet corresponding to the first surface i; obtain a second monitoring matrix according to the multiple second data; update at least one first impact parameter of the first surface i according to the second monitoring matrix and the external environment data; and determine the first impact description of the first surface i according to the at least one first impact parameter of the first surface i after being updated.

[0079] In a possible embodiment, after updating at least one first impact parameter of the first surface i according to the second monitoring matrix and the external environment data, the safety monitoring and early warning device 40 of the energy storage cabinet is further specifically used to: if the number of parameters of the first impact parameters of the first surface i is less than a preset threshold, obtain at least one first impact parameter of each first surface k in at least one first surface k, and a single first surface k is any first surface adjacent to the first surface i; determine at least one second impact parameter of the first surface i according to the at least one first impact parameter of each first surface k and the first priority of each first surface k; and determine the first impact description of the first surface i according to the at least one first impact parameter updated by the first surface i, including: determining the first impact description of the first surface i according to the at least one first impact parameter updated by the first surface i and the at least one second impact parameter of the first surface i.

[0080] In a possible embodiment, a single first surface corresponds to an impact parameter set, and the impact parameter set includes multiple preset impact parameters. In determining at least one first impact parameter of each first surface according to the first priority of each first surface and the multiple impact characteristics, the first determination unit 42 is specifically used to: determine a data dependency relationship between any preset impact parameters among the multiple preset impact parameters of each first surface; and determine at least one first impact parameter of each first surface according to the first priority of each first surface and the data dependency relationship between any preset impact parameters among the multiple preset impact parameters of each first surface and the multiple impact characteristics.

[0081] In a possible embodiment, in terms of determining the data dependency relationship between any preset impact parameters among the multiple preset impact parameters of each first surface, the first determination unit 42 is specifically further used to: obtain the second priority of each preset impact parameter among the multiple preset impact parameters of each first surface, and the association relationship between any preset impact parameters among the multiple preset impact parameters of each first surface; correct the second priority of each preset impact parameter among the multiple preset impact parameters of each first surface according to the impact characteristics corresponding to each first surface, and obtain the third priority of each preset impact parameter among the multiple preset impact parameters of each first surface; obtain the data dependency relationship between any preset impact parameters among the multiple preset impact parameters of each first surface according to the third priority of each preset impact parameter among the multiple preset impact parameters of each first surface and the association relationship between any preset impact parameters among the multiple preset impact parameters of each first surface.

[0082] In a possible embodiment, in terms of determining the second impact description of the energy storage cabinet according to the multiple first impact descriptions, the safety monitoring and early warning device 40 of the energy storage cabinet is specifically used to: determine the similarity of any two first impact descriptions in the multiple first impact descriptions; and merge the multiple first impact descriptions according to the similarity to obtain the second impact description.

[0083] It can be understood that since the method embodiment and the device embodiment are different presentation forms of the same technical concept, the content of the method embodiment part in this application should be synchronously adapted to the device embodiment part and will not be repeated here.

[0084] In the case of integrated units, see Figure 5 , Figure 5 is a functional unit block diagram of another safety monitoring and early warning device for an energy storage cabinet provided in an embodiment of the present application, such as Figure 5 As shown, the safety monitoring and early warning device 40 of the energy storage cabinet includes: a processing module 402 and a communication module 401. The processing module 402 is used to control and manage the actions of the safety monitoring and early warning device 40 of the energy storage cabinet, for example, to execute the steps of the receiving unit 41, the first determination unit 42, the second determination unit 43 and the third determination unit 44, and / or to execute other processes of the technology described in this article. The communication module 401 is used for the interaction between the safety monitoring and early warning device 40 of the energy storage cabinet and other devices. Figure 5 As shown, the safety monitoring and early warning device 40 of the energy storage cabinet may further include a storage module 403, and the storage module 403 is used to store program codes and data of the safety monitoring and early warning device 40 of the energy storage cabinet.

[0085] Wherein, the processing module 402 can be a processor or a controller, for example, a central processing unit (CPU), a general processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute various exemplary logic boxes, modules and circuits described in conjunction with the disclosure of this application. The processor can also be a combination that implements a computing function, for example, a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The communication module 401 can be a transceiver, an RF circuit or a communication interface, and the like. The storage module 403 can be a memory.

[0086] Among them, all relevant contents of each scenario involved in the above method embodiment can be referred to the functional description of the corresponding functional module, which will not be repeated here. The above energy storage cabinet safety monitoring and early warning device 40 can execute the above Figure 2 The safety monitoring and early warning method of the energy storage cabinet is shown.

[0087] See also Figure 6 , Figure 6 is a schematic diagram of the structure of an electronic device proposed in an embodiment of the present application, such as Figure 6 As shown, the electronic device 600 includes a processor 610, a memory 620, a communication interface 630 and one or more programs 621. The one or more programs 621 are stored in the memory and are configured to be executed by the processor. When the program is executed, it includes part or all of the steps of any one of the safety monitoring and early warning methods for energy storage cabinets recorded in the above method embodiments. The processor, memory and communication interface are interconnected and complete communication work between them.

[0088] The memory may be a volatile memory such as a dynamic random access memory (DRAM), or a non-volatile memory such as a mechanical hard disk. The memory is used to store a set of executable program codes, and the processor is used to call the executable program codes stored in the memory, and may execute some or all steps of the safety monitoring and early warning method for any energy storage cabinet as described in the above-mentioned safety monitoring and early warning method embodiment for the energy storage cabinet.

[0089] It can be seen that the electronic device 600 described in the embodiment of the present application first obtains multiple first monitoring matrices according to multiple first data uploaded by multiple first pressure sensors, wherein the multiple first pressure sensors are deployed on multiple first surfaces, and the multiple first surfaces are surfaces other than the grounding surface outside the shell of the energy storage cabinet, and a single first monitoring matrix corresponds to a single first surface; a first impact description of each first surface in the multiple first monitoring matrices is determined according to each first monitoring matrix in the multiple first monitoring matrices to obtain multiple first impact descriptions; a second impact description of the energy storage cabinet is determined according to the multiple first impact descriptions; and a warning level is determined according to the second impact description and a corresponding execution instruction is triggered. Compared with the emergency protection functions and measures of the existing energy storage cabinets that are overly dependent on internal sensor triggering, the present application installs multiple pressure sensors on multiple surfaces outside the shell of the energy storage cabinet, and receives and processes the monitoring data collected by the pressure sensors through the Internet of Things platform, thereby realizing decoupling from the internal monitoring system and improving the comprehensiveness and flexibility of monitoring; at the same time, according to the integrated processing of the monitoring data of multiple surfaces outside the shell of the energy storage cabinet, the sudden external conditions are judged, and a rapid response to the sudden conditions is achieved, thereby improving the reliability and safety of the energy storage cabinet.

[0090] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps of any method described in the above method embodiments, and the above computer includes an electronic device.

[0091] The embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, the computer program is operable to cause a computer to execute some or all of the steps of any method described in the method embodiment. The computer program product may be a software installation package, and the computer includes an electronic device.

[0092] It should be noted that, for the sake of simplicity, the aforementioned method implementations are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the implementations described in the specification are all optional implementations, and the actions and modules involved are not necessarily required by the present application.

[0093] In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0094] In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device implementation described above is only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical or other forms.

[0095] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0096] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of a software program module.

[0097] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk, etc., and other media that can store program codes.

[0098] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable memory, which can include: a flash drive, a read-only memory, a random access memory, a magnetic disk or an optical disk, etc.

[0099] The above is a detailed introduction to the implementation methods of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above implementation methods is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A safety monitoring and early warning method for an energy storage cabinet, characterized in that: Applied to IoT platforms, including: Obtaining multiple first monitoring matrices according to multiple first data uploaded by multiple first pressure sensors, wherein the multiple first pressure sensors are deployed on multiple first surfaces, which are surfaces outside the shell of the energy storage cabinet except the grounding surface, and a single first monitoring matrix corresponds to a single first surface; determining a first impact description of each first surface in the plurality of first surfaces according to each first monitoring matrix in the plurality of first monitoring matrices, to obtain a plurality of first impact descriptions; Determine a second impact description of the energy storage cabinet according to the multiple first impact descriptions; A warning level is determined according to the second impact description and a corresponding execution instruction is triggered.

2. The method according to claim 1, characterized in that The step of determining a first impact description of each first surface in the plurality of first surfaces according to each first monitoring matrix in the plurality of first monitoring matrices to obtain a plurality of first impact descriptions includes: Extracting the impact feature of each first monitoring matrix to obtain a plurality of impact features; Determine a characteristic intensity of each impact feature in the plurality of impact features to obtain a plurality of characteristic intensities; determining a first priority of each of the first surfaces according to the plurality of characteristic intensities; determining at least one first impact parameter of each first surface based on the first priority of each first surface and the plurality of impact signatures; A first impact description of each first surface is determined according to at least one first impact parameter of each first surface to obtain the plurality of first impact descriptions.

3. The method according to claim 2, characterized in that Determining the first impact description of each first surface according to at least one first impact parameter of each first surface to obtain the plurality of first impact descriptions includes: Determine the data accuracy of each first impact parameter of at least one first impact parameter of a first surface i, wherein the first surface i is any surface among the plurality of first surfaces; Determining whether auxiliary information is needed according to the data accuracy of each first impact parameter; If the auxiliary information is needed, multiple second data and external environment data are received, wherein the multiple second data are data uploaded by multiple second pressure sensors, and the multiple second pressure sensors are deployed on the second surface, and the second surface is the surface inside the shell of the energy storage cabinet corresponding to the first surface i; Obtain a second monitoring matrix according to the plurality of second data; updating at least one first impact parameter of the first surface i according to the second monitoring matrix and the external environment data; A first impact description of the first surface i is determined according to the updated at least one first impact parameter of the first surface i.

4. The method according to claim 3, characterized in that After updating at least one first impact parameter of the first surface i according to the second monitoring matrix and the external environment data, the method further includes: If the number of parameters of the first impact parameters of the first surface i is less than a preset threshold, obtaining at least one first impact parameter of each first surface k in at least one first surface k, where the single first surface k is any first surface adjacent to the first surface i; Determine at least one second impact parameter of the first surface i according to the at least one first impact parameter of each first surface k and the first priority of each first surface k; The determining a first impact description of the first surface i according to the at least one first impact parameter updated by the first surface i comprises: A first impact description of the first surface i is determined according to the updated at least one first impact parameter of the first surface i and the at least one second impact parameter of the first surface i.

5. The method according to any one of claims 2 to 4, characterized in that: A single first surface corresponds to an impact parameter set, the impact parameter set includes a plurality of preset impact parameters, and determining at least one first impact parameter of each first surface according to the first priority of each first surface and the plurality of impact features includes: Determining a data dependency relationship between any preset impact parameters of the plurality of preset impact parameters of each first surface; According to the first priority of each first surface, at least one first impact parameter of each first surface is determined according to a data dependency relationship between any preset impact parameters of the plurality of preset impact parameters of each first surface and the plurality of impact features.

6. The method according to claim 5, characterized in that The determining of the data dependency relationship between any preset impact parameters among the plurality of preset impact parameters of each first surface comprises: Acquire a second priority of each preset impact parameter among the plurality of preset impact parameters of each first surface, and an association relationship between any preset impact parameters among the plurality of preset impact parameters of each first surface; According to the impact feature corresponding to each first surface, the second priority of each preset impact parameter in the plurality of preset impact parameters of each first surface is modified to obtain a third priority of each preset impact parameter in the plurality of preset impact parameters of each first surface; According to the third priority of each preset impact parameter among the multiple preset impact parameters of each first surface and the association relationship between any preset impact parameters among the multiple preset impact parameters of each first surface, a data dependency relationship between any preset impact parameters among the multiple preset impact parameters of each first surface is obtained.

7. The method according to any one of claims 2 to 4, characterized in that: The determining the second impact description of the energy storage cabinet according to the multiple first impact descriptions includes: determining a similarity between any two first impact descriptions of the plurality of first impact descriptions; The multiple first impact descriptions are merged according to the similarity to obtain the second impact description.

8. A safety monitoring and early warning device for an energy storage cabinet, characterized in that: Applied to IoT platforms, including: A receiving unit, configured to obtain a plurality of first monitoring matrices according to a plurality of first data uploaded by a plurality of first pressure sensors, wherein the plurality of first pressure sensors are deployed on a plurality of first surfaces, which are surfaces outside the shell of the energy storage cabinet except the grounding surface, and a single first monitoring matrix corresponds to a single first surface; A first determining unit, configured to determine a first impact description of each first surface of the plurality of first surfaces according to each first monitoring matrix of the plurality of first monitoring matrices, to obtain a plurality of first impact descriptions; a second determining unit, configured to determine a second impact description of the energy storage cabinet according to the plurality of first impact descriptions; The third determining unit is used to determine a warning level according to the second impact description and trigger a corresponding execution instruction.

9. An electronic device, characterized in that: The device comprises: A memory, a processor, and an executable program code stored in the memory and executable on the processor, wherein the processor executes the steps of the safety monitoring and early warning method for the energy storage cabinet according to any one of claims 1 to 7 when executing the executable program code.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores executable program code, and the executable program code includes execution instructions, and the execution instructions are used to execute the steps of the safety monitoring and early warning method for the energy storage cabinet according to any one of claims 1 to 7.

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