A safety management method and device for photovoltaic energy storage equipment

Abstract

This invention relates to the field of photovoltaic energy storage device management technology, and discloses a method and apparatus for the safe management of photovoltaic energy storage devices. The method includes: acquiring abnormal parameters during the operation of the photovoltaic energy storage device; classifying the abnormal parameters to obtain multiple types of abnormal data; acquiring the abnormal duration corresponding to each type of abnormal data, and randomly selecting abnormal data from multiple abnormal time points within the abnormal duration; constructing a safe duration variation curve based on the abnormal data from multiple abnormal time points, and obtaining the safe operating range of the photovoltaic energy storage device based on the safe duration variation curve and a preset safe duration threshold; and using the safe operating range to perform safe management of the photovoltaic energy storage device. This invention enables the photovoltaic energy storage device to operate safely within a safe operating range under extreme conditions, reduces the risk of the photovoltaic energy storage device, ensures the normal operation of the photovoltaic energy storage device, and improves the operating efficiency of the photovoltaic energy storage device under extreme conditions.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of light energy storage device management, and particularly relates to a safety management method and device for a light energy storage device. BACKGROUND

[0002] The light energy storage device is a power generation system composed of a photovoltaic device and an energy storage device. During operation of the light energy storage device, the light energy storage device often encounters extreme environments or internal operating states, resulting in low efficiency. The problem is often not discovered in time, and if a patrol personnel is used for monitoring, a certain risk is easily caused. SUMMARY

[0003] Therefore, the present application provides a safety management method and device for a light energy storage device to solve the problem of low efficiency and safety risk of the light energy storage device caused by environmental influence.

[0004] In a first aspect, the present application provides a safety management method for a light energy storage device, which comprises the following steps.

[0005] Abnormal parameters in the operation process of the light energy storage device are obtained, the abnormal parameters are classified, and a plurality of types of abnormal data are obtained.

[0006] The abnormal time lengths corresponding to the plurality of types of abnormal data are obtained respectively, and abnormal data at a plurality of abnormal time points is randomly extracted within the abnormal time lengths.

[0007] A safety time length change curve is constructed based on the abnormal data at the plurality of abnormal time points, and a safety operation range of the light energy storage device is obtained based on the safety time length change curve and a preset safety time length threshold.

[0008] The safety operation range is used for safety management of the light energy storage device.

[0009] The safety management method for the light energy storage device provided in the embodiment classifies the abnormal parameters, obtains the abnormal time lengths corresponding to the plurality of types of abnormal data, and randomly extracts the abnormal data at the plurality of abnormal time points within the abnormal time lengths. Then, the safety time length change curve is constructed based on the abnormal data at the plurality of abnormal time points, and the safety operation range of the light energy storage device is obtained based on the safety time length change curve and the preset safety time length threshold. Through analysis of the abnormal data of different types, the light energy storage device is safely operated within the safety operation range under extreme conditions, the risk of the light energy storage device is reduced, the normal operation of the light energy storage device is ensured, and the operation efficiency of the light energy storage device under extreme conditions is improved.

[0010] In an optional implementation, the abnormal parameters in the operation process of the light energy storage device are obtained, the abnormal parameters are classified, and the plurality of types of abnormal data are obtained, which comprises the following steps.

[0011] Obtain operation data and environment data in the operation process of the light energy storage device, and extract abnormal parameters based on the operation data and the environment data;

[0012] Classify the abnormal parameters to obtain temperature abnormal data, gas abnormal data, voltage abnormal data, and frequency abnormal data.

[0013] The safety management method of the light energy storage device provided in the embodiment extracts abnormal parameters and classifies the abnormal parameters, sets an extreme condition for the light energy storage device, and lays a foundation for subsequent analysis of abnormal data.

[0014] In an optional implementation, abnormal time lengths corresponding to abnormal data of multiple categories are obtained respectively, and abnormal data of multiple abnormal time points are randomly extracted within the abnormal time lengths, including:

[0015] Obtain starting time information corresponding to abnormal data of multiple categories, ending time information when the light energy storage device returns to a normal state, and normal operation data corresponding to the ending time information respectively;

[0016] Calculate abnormal time lengths based on the starting time information and the ending time information, and obtain abnormal data corresponding to multiple abnormal time points by randomly extracting multiple abnormal time points within the abnormal time lengths.

[0017] The safety management method of the light energy storage device provided in the embodiment randomly extracts multiple abnormal time points within abnormal time lengths and obtains abnormal data corresponding to the multiple abnormal time points, thereby providing a data basis for subsequent construction of an energy storage safety prediction model.

[0018] In an optional implementation, a safety time length change curve is constructed based on abnormal data of multiple abnormal time points, and a safe operation range of the light energy storage device is obtained based on the safety time length change curve and a preset safety time length threshold, including:

[0019] Construct an energy storage safety prediction model based on the starting time information, the ending time information, and abnormal data of the multiple abnormal time points;

[0020] Simulate an abnormal state by using the energy storage safety prediction model to obtain a safety time length change curve;

[0021] Compare the safety time length change curve with the preset safety time length threshold, and determine a safe operation range of the light energy storage device when a continuous safe operation time length of the energy storage device reaches the preset safety time length threshold based on a comparison result.

[0022] The safety management method of the optical energy storage device provided in the embodiment can accurately analyze the current optical energy storage device safety operation data, so that the optical energy storage device can adapt to more complex or special conditions.

[0023] In an optional implementation, the safety duration change curve obtained by simulating the abnormal state by using the energy storage safety prediction model comprises:

[0024] The starting time and the ending time of different abnormal types of the energy storage device are obtained, and a plurality of safety duration values are obtained by using the energy storage safety prediction model based on the starting time and the ending time of different abnormal types of the energy storage device.

[0025] The plurality of safety duration values are analyzed to obtain the safety duration change curve.

[0026] The safety management method of the optical energy storage device provided in the embodiment obtains a plurality of safety duration values by using the energy storage safety prediction model, and analyzes the plurality of safety duration values to obtain the safety duration change curve, thereby realizing accurate simulation of different types of abnormal scenarios and making the safety duration change curve more accurate.

[0027] In an optional implementation, the safety duration change curve is compared with a preset safety duration threshold, and based on a comparison result, a safety operation range of the optical energy storage device when the continuous safety operation duration of the energy storage device reaches the preset safety duration threshold is determined, which comprises:

[0028] When the continuous safety operation duration of the energy storage device in the safety duration change curve reaches the safety duration threshold, the optical energy storage device operation data is continuously sampled at a preset time interval within the continuous safety duration to obtain a plurality of sampling data.

[0029] The maximum sampling data and the minimum sampling data in the plurality of sampling data are extracted, and the safety operation range of the optical energy storage device is determined based on the maximum sampling data and the minimum sampling data.

[0030] The safety management method of the optical energy storage device provided in the embodiment continuously samples the optical energy storage device operation data at a preset time interval, and then determines the safety operation range of the optical energy storage device based on the maximum sampling data and the minimum sampling data, thereby realizing accurate calculation of the safety operation range of the optical energy storage device under different types of abnormal scenarios and laying a foundation for the safety operation of the optical energy storage device.

[0031] In a second aspect, the present application provides a safety management device for an optical energy storage device, which comprises:

[0032] The classification module is configured to acquire abnormal parameters in the operation process of the light energy storage device, and classify the abnormal parameters to obtain abnormal data of multiple categories.

[0033] The extraction module is configured to acquire abnormal time lengths corresponding to the abnormal data of the multiple categories respectively, and extract abnormal data of multiple abnormal time points randomly within the abnormal time lengths.

[0034] The construction module is configured to construct a safety time length change curve based on the abnormal data of the multiple abnormal time points, and obtain a safety operation range of the light energy storage device based on the safety time length change curve and a preset safety time length threshold.

[0035] The management module is configured to perform safety management on the light energy storage device by using the safety operation range.

[0036] In a third aspect, the present application provides a computer device, comprising a memory and a processor, the memory and the processor are communicatively connected with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the safety management method of the light energy storage device according to the first aspect or any one of the corresponding embodiments thereof.

[0037] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer instructions, and the computer instructions are used to make a computer execute the safety management method of the light energy storage device according to the first aspect or any one of the corresponding embodiments thereof.

[0038] In a fifth aspect, the present application provides a computer program product, which comprises computer instructions, and the computer instructions are used to make a computer execute the safety management method of the light energy storage device according to the first aspect or any one of the corresponding embodiments thereof. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed in the specific embodiments or the prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0040] Figure 1 is a flowchart of a safety management method of a light energy storage device according to an embodiment of the present application;

[0041] Figure 2 is a flowchart of another safety management method of a light energy storage device according to an embodiment of the present application;

[0042] Figure 3is a flowchart of a safety management method of another optical energy storage device according to an embodiment of the present application;

[0043] Figure 4 is a structural block diagram of a safety management device of an optical energy storage device according to an embodiment of the present application;

[0044] Figure 5 is a hardware structure schematic diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0046] According to an embodiment of the present application, a safety management method of an optical energy storage device is provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0047] In the present embodiment, a safety management method of an optical energy storage device is provided, which can be used in mobile terminals such as mobile phones, computers, etc. Figure 1 is a flowchart of a safety management method of an optical energy storage device according to an embodiment of the present application, as shown in Figure 1 The flowchart includes the following steps:

[0048] Step S101: acquiring abnormal parameters in the running process of the optical energy storage device, classifying the abnormal parameters, and obtaining a plurality of categories of abnormal data.

[0049] Step S102: acquiring abnormal time lengths corresponding to the plurality of categories of abnormal data, respectively, and randomly extracting abnormal data of a plurality of abnormal time points within the abnormal time lengths.

[0050] Step S103: constructing a safety time length change curve based on the abnormal data of the plurality of abnormal time points, and obtaining a safety running range of the optical energy storage device based on the safety time length change curve and a preset safety time length threshold.

[0051] Step S104: performing safety management on the optical energy storage device by using the safety running range.

[0052] Specifically, the related parameters of the light energy storage device are set according to the safe operation range, so that the light energy storage device can adapt to more complex or special conditions.

[0053] The safe management method of the light energy storage device provided in the embodiment classifies the abnormal parameters, obtains abnormal time lengths corresponding to abnormal data of multiple categories, randomly extracts abnormal data of multiple abnormal time points within the abnormal time lengths, constructs a safe time length change curve based on the abnormal data of the multiple abnormal time points, and obtains the safe operation range of the light energy storage device based on the safe time length change curve and a preset safe time length threshold. Through analysis of abnormal data of different categories, the light energy storage device is realized to be safely operated within the safe operation range under extreme conditions, the risk of the light energy storage device is reduced, the normal operation of the light energy storage device is ensured, and the operation efficiency of the light energy storage device under extreme conditions is improved.

[0054] In the embodiment, a safe management method of a light energy storage device is provided, which can be used in the mobile terminal such as a mobile phone, a computer and the like. Figure 2 The flowchart of the safe management method of the light energy storage device according to the embodiment of the present application is shown in FIG. 2, which includes the following steps. Figure 2

[0055] In step S201, abnormal parameters in the operation process of the light energy storage device are obtained, and the abnormal parameters are classified to obtain abnormal data of multiple categories.

[0056] Specifically, step S201 includes the following steps.

[0057] In step S2011, operation data and environment data in the operation process of the light energy storage device are obtained, and abnormal parameters are extracted based on the operation data and the environment data.

[0058] Specifically, the operation data and the environment data are obtained from historical data or real-time monitoring data in the operation of the light energy storage device, and a certain number of different types of abnormal parameters causing abnormal operation or stop of the energy storage device are extracted. The abnormal parameters can be divided into at least four categories, i.e., temperature (humidity), gas state, voltage and frequency.

[0059] Further, the temperature abnormal data is the real-time monitoring value when the temperature is too high or too low; the gas state abnormal data is that the amount of risk gas exceeds a certain safety value; the voltage abnormal data is that the voltage value monitored during the operation of the light energy storage device is too high or too low, for example, the operation voltage of the light energy storage device is 100-500V, and 10V or 1000V or the like is divided into voltage abnormal data; and the frequency abnormal data is that the frequency fluctuation amplitude is too large during the operation of the device.

[0060] ​Step S2012, the abnormal parameters are classified to obtain temperature abnormal data, gas abnormal data, voltage abnormal data and frequency abnormal data.

[0061] Step S202, the abnormal time lengths corresponding to the multiple kinds of abnormal data are respectively acquired, and the abnormal data of multiple abnormal time points are randomly extracted within the abnormal time lengths. For details, please refer to Figure 1 Step S102 of the embodiment shown in the figure will not be repeated here.

[0062] Step S203, the safety time length change curve is constructed based on the abnormal data of the multiple abnormal time points, and the safety running range of the light energy storage device is obtained based on the safety time length change curve and the preset safety time length threshold. For details, please refer to Figure 1 Step S103 of the embodiment shown in the figure will not be repeated here.

[0063] Step S204, the safety running range is used for safety management of the light energy storage device. For details, please refer to Figure 1 Step S104 of the embodiment shown in the figure will not be repeated here.

[0064] The safety management method of the light energy storage device provided in the embodiment sets an extreme case for the light energy storage device by extracting abnormal parameters and classifying the abnormal parameters, and lays a foundation for subsequent analysis of abnormal data.

[0065] In the embodiment, a safety management method of a light energy storage device is provided, which can be used in the mobile terminal such as a mobile phone, a computer and the like, Figure 3 is a flowchart of a safety management method of a light energy storage device according to an embodiment of the present application, which includes the following steps: Figure 3 as shown in the figure, the flowchart includes the following steps:

[0066] Step S301, the abnormal parameters in the running process of the light energy storage device are acquired, the abnormal parameters are classified, and multiple kinds of abnormal data are obtained. For details, please refer to Figure 2 Step S201 of the embodiment shown in the figure will not be repeated here.

[0067] Step S302, the abnormal time lengths corresponding to the multiple kinds of abnormal data are respectively acquired, and the abnormal data of multiple abnormal time points are randomly extracted within the abnormal time lengths.

[0068] Specifically, the above step S302 includes:

[0069] Step S3021, the starting time information corresponding to the multiple kinds of abnormal data, the ending time information when the light energy storage device returns to the normal state, and the normal running data corresponding to the ending time information are respectively acquired.

[0070] Specifically, for each type of abnormal data, the starting time information of the occurrence of abnormal data (i.e. the abnormal operation or stop of the light energy storage device) and the abnormal data corresponding to the starting time information are obtained respectively, and the ending time information when the light energy storage device returns to the normal state and the normal data corresponding to the ending time information are obtained.

[0071] Further, when the temperature data is abnormal, the starting time information Ta1 and the abnormal temperature Wa1 are obtained, and the ending time information Ta2 and the current (normal) temperature Wa2 when the energy storage device subsequently returns to the normal state are obtained; when the gas state is abnormal, i.e. the amount of risk gas is abnormal, the starting time information Tb1 and the abnormal amount of risk gas Qb1 are obtained, and the ending time information Tb2 and the current (normal) amount of risk gas Qb2 when the energy storage device subsequently returns to the normal state are obtained; when the voltage data is abnormal, the starting time information Tc1 and the abnormal voltage Vc1 are obtained, and the ending time information Tc2 and the current (normal) voltage Vc2 when the energy storage device subsequently returns to the normal state are obtained; when the frequency fluctuation amplitude is abnormal, i.e. the amount of risk gas is abnormal, the starting time information Td1 and the abnormal amount of risk gas Qd1 are obtained, and the ending time information Td2 and the current (normal) amount of risk gas Qd2 when the energy storage device subsequently returns to the normal state are obtained.

[0072] In step S3022, the abnormal duration is calculated based on the starting time information and the ending time information, and a plurality of abnormal time points are randomly extracted in the abnormal duration, and the abnormal data corresponding to the plurality of abnormal time points are obtained.

[0073] Specifically, the difference between the ending time information and the starting time information is taken as the abnormal duration; for example, the calculation formula of the temperature abnormal duration Ta is as follows:

[0074] Ta = Ta2-Ta1

[0075] Further, at least 3 abnormal time points and the abnormal data corresponding to each abnormal time point are randomly extracted in the abnormal duration, i.e. between the starting time information and the ending time information; for example, the temperature sampling abnormal time points are Ta3, Ta4 and Ta5, wherein Ta1 < Ta3 < Ta4 < Ta5 < Ta2, and the temperature abnormal data corresponding to each time point are Wa3, Wa4 and Wa5 respectively.

[0076] In step S303, a safety duration change curve is constructed based on the abnormal data of the plurality of abnormal time points, and a safety operation range of the light energy storage device is obtained based on the safety duration change curve and a preset safety duration threshold.

[0077] Specifically, the above step S303 includes:

[0078] Step S3031, constructing an energy storage safety prediction model based on the start time information, the end time information, and the abnormal data of the plurality of abnormal time points.

[0079] Specifically, for each type of abnormal situation, an energy storage safety prediction model is constructed based on all abnormal data, including start time information, end time information, a plurality of abnormal time points, and abnormal data corresponding to each abnormal time point (including temperature, gas volume, voltage, and frequency amplitude, etc.).

[0080] Further, the energy storage safety prediction model is constructed based on machine learning of data at different abnormal times, forming a prediction model with high accuracy for safety duration simulation, including temperature safety prediction model, gas safety prediction model, voltage safety prediction model, frequency safety prediction model, etc.; wherein the different abnormal times are each time information of a plurality of different abnormal situations occurring under the same abnormal type.

[0081] Step S3032, simulating the abnormal state using the energy storage safety prediction model to obtain a safety duration change curve.

[0082] Specifically, the safety duration change curve is formed by simulating the safety duration change rule of the optical energy storage device at different abnormal times using the energy storage safety prediction model.

[0083] In some optional embodiments, the above step S3032 includes:

[0084] Step a1, obtaining the start time and end time of different abnormal types of energy storage devices, and based on the start time and end time of different abnormal types of energy storage devices, obtaining a plurality of safety duration values using the energy storage safety prediction model.

[0085] Step a2, analyzing the plurality of safety duration values to obtain a safety duration change curve.

[0086] Specifically, the safety duration change curve is formed by simulating the safety duration change rule of the optical energy storage device at different abnormal times using the energy storage safety prediction model, and the specific steps include: obtaining the start time and end time of different abnormal types, and the sampling parameters of a plurality of abnormal time points (including abnormal data corresponding to the start and end time points); obtaining a plurality of safety duration values using the energy storage safety prediction model according to the start time and end time; analyzing different safety duration values to obtain the safety duration change rule when the abnormality occurs multiple times during the operation ； At the same time, according to the plurality of sampling parameters, the change rule of the corresponding parameters (such as temperature, voltage, etc.) under this abnormal type can be obtained; and the safety duration change curve is drawn according to the safety duration change rule and the parameter change rule.

[0087] The step of analyzing the different safety duration values to obtain the safety duration change rule when multiple abnormal situations occur during the operation process is: if one or more abnormal situations occur during the operation process of the power system, the safety duration value is obtained based on the time from the start to the occurrence of the abnormal situation, or the safety duration value is obtained based on the time between each abnormal situation, and then the historical safety duration of the same device is counted to obtain the safety duration change rule.

[0088] In step S3033, the safety duration change curve is compared with the preset safety duration threshold, and based on the comparison result, the safety operation range of the energy storage device is determined when the continuous safety operation duration of the energy storage device reaches the preset safety duration threshold.

[0089] In some optional embodiments, step S3033 includes:

[0090] In step b1, when the continuous safety operation duration of the energy storage device in the safety duration change curve reaches the safety duration threshold, the operation data of the optical energy storage device is continuously sampled at a preset time interval within the continuous safety duration to obtain a plurality of sampling data.

[0091] Specifically, different types of safety duration change rules and curves are analyzed to obtain the operation data or environmental data that is continuously sampled at a certain interval during the continuous safety operation of the energy storage device when the continuous safety operation reaches a certain threshold under each type of data.

[0092] In step b2, the maximum sampling data and the minimum sampling data in the plurality of sampling data are extracted, and the safety operation range of the optical energy storage device is determined based on the maximum sampling data and the minimum sampling data.

[0093] For example, assuming that the safety operation threshold is TH, when the continuous safety operation duration based on the temperature reaches TH, the temperature values T (T1, T2, T3…Tn) of the starting point, the ending point and the plurality of sampling points every 1 second (set according to human experience) of the optical energy storage device within the continuous safety operation duration are obtained, and the range between Max(T1, T2, T3…Tn) and Min(T1, T2, T3…Tn) is determined as the temperature value range of the safe operation of the optical energy storage device. The temperature value range of the safe operation of the optical energy storage device is taken as the safety operation range.

[0094] In step S304, the safety operation range is used for safety management of the optical energy storage device. For details, please refer to Figure 2 The step S204 of the embodiment shown in the figure is not repeated here.

[0095] The safety management method of the optical energy storage device provided in the embodiment provides a data basis for subsequent construction of an energy storage safety prediction model by randomly extracting a plurality of abnormal time points within an abnormal time length and obtaining abnormal data corresponding to the plurality of abnormal time points; secondly, a safety time length change curve is obtained by constructing an energy storage safety prediction model and simulating an abnormal state by using the energy storage safety prediction model, the current optical energy storage device safety operation data can be accurately analyzed, and the optical energy storage device can adapt to more complex or special conditions.

[0096] In the embodiment, a safety management device of an optical energy storage device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, implementation of hardware or a combination of software and hardware is also possible and is contemplated.

[0097] The safety management device of the optical energy storage device provided in the embodiment includes: Figure 4

[0098] The classification module 401 is configured to obtain abnormal parameters in the operation process of the optical energy storage device, classify the abnormal parameters, and obtain a plurality of categories of abnormal data.

[0099] The extraction module 402 is configured to obtain abnormal time lengths corresponding to the plurality of categories of abnormal data, respectively, and randomly extract abnormal data of a plurality of abnormal time points within the abnormal time lengths.

[0100] The construction module 403 is configured to construct a safety time length change curve based on the abnormal data of the plurality of abnormal time points, and obtain a safety operation range of the optical energy storage device based on the safety time length change curve and a preset safety time length threshold.

[0101] The management module 404 is configured to perform safety management on the optical energy storage device by using the safety operation range.

[0102] In some optional embodiments, the classification module 401 includes:

[0103] The extraction unit is configured to obtain operation data and environment data in the operation process of the optical energy storage device, and extract abnormal parameters based on the operation data and the environment data.

[0104] The classification unit is configured to classify the abnormal parameters to obtain temperature abnormal data, gas abnormal data, voltage abnormal data, and frequency abnormal data.

[0105] In some optional embodiments, the extraction module 402 includes:

[0106] ​The acquisition unit is configured to acquire start time information corresponding to the abnormal data of each type, end time information when the optical energy storage device returns to a normal state, and normal operation data corresponding to the end time information;

[0107] The extraction unit is configured to calculate an abnormal duration based on the start time information and the end time information, and randomly extract a plurality of abnormal time points within the abnormal duration, and acquire abnormal data corresponding to the plurality of abnormal time points.

[0108] In some optional embodiments, the construction module 403 comprises:

[0109] The construction unit is configured to construct an energy storage safety prediction model based on the start time information, the end time information, and the abnormal data of the plurality of abnormal time points.

[0110] The simulation unit is configured to simulate an abnormal state by using the energy storage safety prediction model to obtain a safety duration change curve.

[0111] The comparison unit is configured to compare the safety duration change curve with a preset safety duration threshold, and determine a safety operation range of the optical energy storage device when the continuous safety operation duration of the energy storage device reaches the preset safety duration threshold based on a comparison result.

[0112] In some optional embodiments, the simulation unit comprises:

[0113] The acquisition subunit is configured to acquire start time and end time of different abnormal types of the energy storage device, and obtain a plurality of safety duration values by using the energy storage safety prediction model based on the start time and the end time of the different abnormal types of the energy storage device.

[0114] The analysis subunit is configured to analyze the plurality of safety duration values to obtain the safety duration change curve.

[0115] In some optional embodiments, the comparison unit comprises:

[0116] The sampling subunit is configured to sample the operation data of the optical energy storage device at a preset time interval within the continuous safety duration when the continuous safety operation duration of the energy storage device in the safety duration change curve reaches the safety duration threshold, and obtain a plurality of sampling data.

[0117] The extraction subunit is configured to extract maximum sampling data and minimum sampling data from the plurality of sampling data, and determine the safety operation range of the optical energy storage device based on the maximum sampling data and the minimum sampling data.

[0118] Further function descriptions of the above-mentioned various modules and units are the same as those of the above-mentioned corresponding embodiments, and will not be repeated here.

[0119] In this embodiment, a safety management device for a photovoltaic energy storage device is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above-mentioned functions.

[0120] This invention also provides a computer device having the above-described features. Figure 4 The diagram shows a safety management device for a photovoltaic energy storage device.

[0121] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 5 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 5 Take a processor 10 as an example.

[0122] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GPA), or any combination thereof.

[0123] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0124] The memory 20 can include a program storage area and a data storage area, where the program storage area can store an operating system, application programs required for at least one function, and the data storage area can store data created according to the use of the computer device, etc. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some alternative embodiments, the memory 20 can optionally include a memory disposed remotely from the processor 10, which can be connected to the computer device through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0125] The memory 20 can include a volatile memory, such as a random access memory, and can also include a non-volatile memory, such as a flash memory, a hard disk, or a solid state disk, and can also include a combination of the above-mentioned types of memories.

[0126] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30, and the output device 40 can be connected through a bus or other means, Figure 5 The connection through the bus is taken as an example.

[0127] The input device 30 can receive inputted digital or character information, and generate key signal inputs related to the user settings and function controls of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 can include a display device, an auxiliary lighting device (e.g., an LED), a tactile feedback device (e.g., a vibration motor), etc. The display device includes, but is not limited to, a liquid crystal display, a light-emitting diode, a display, and a plasma display. In some alternative embodiments, the display device can be a touch screen.

[0128] The embodiments of the present application further provide a computer readable storage medium, and the method according to the embodiments of the present application can be implemented in hardware, firmware, or recorded in a storage medium, or stored in a remote storage medium or a non-transitory machine readable storage medium and downloaded to a local storage medium through network, so that the method described herein can be processed by such software on a storage medium using a general purpose computer, a special purpose processor, or programmable or special hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid state disk, etc. Further, the storage medium can also include a combination of the above-mentioned memories. It can be understood that the computer, the processor, the microprocessor controller, or the programmable hardware includes a storage component that can store or receive software or computer code, when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiments is implemented.

[0129] Part of the present application can be applied as a computer program product, for example, computer program instructions, when executed by a computer, through the operation of the computer, the method and / or technical solutions according to the present application can be called or provided. Those skilled in the art should understand that the form of computer program instructions in a computer readable medium includes but is not limited to source files, executable files, installation package files, etc. Correspondingly, the way of executing computer program instructions by computer includes but is not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Here, the computer readable medium can be any available computer readable storage medium or communication medium accessible to the computer.

[0130] Although the embodiments of the present application are described in conjunction with the accompanying drawings, various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the present application, and such modifications and changes fall within the scope defined by the appended claims.

Claims

1. A safety management method of a light energy storage device, characterized by, The method comprises: acquiring abnormal parameters in the operation process of the light energy storage device, classifying the abnormal parameters, and obtaining abnormal data of multiple categories; respectively acquiring abnormal time lengths corresponding to the abnormal data of the multiple categories, and randomly extracting abnormal data of multiple abnormal time points within the abnormal time lengths; constructing a safety time length change curve based on the abnormal data of the multiple abnormal time points, and obtaining a safe operation range of the light energy storage device based on the safety time length change curve and a preset safety time length threshold; using the safe operation range to perform safety management on the light energy storage device; the method comprises: respectively acquiring abnormal time lengths corresponding to the abnormal data of the multiple categories, and randomly extracting abnormal data of multiple abnormal time points within the abnormal time lengths; respectively acquiring starting time information corresponding to the abnormal data of the multiple categories, ending time information when the light energy storage device returns to a normal state, and normal operation data corresponding to the ending time information; calculating the abnormal time length based on the starting time information and the ending time information, and randomly extracting multiple abnormal time points within the abnormal time length to acquire abnormal data corresponding to the multiple abnormal time points; the method comprises: constructing an energy storage safety prediction model based on the starting time information, the ending time information, and the abnormal data of the multiple abnormal time points; using the energy storage safety prediction model to simulate an abnormal state to obtain the safety time length change curve; comparing the safety time length change curve with the preset safety time length threshold, and determining the safe operation range of the light energy storage device when the continuous safe operation time length of the energy storage device reaches the preset safety time length threshold based on the comparison result; the method comprises: acquiring starting times and ending times of different abnormal types of the energy storage device, and using the energy storage safety prediction model to obtain multiple safety time length values based on the starting times and the ending times of the different abnormal types of the energy storage device; The multiple safety duration values are analyzed to obtain the safety duration change curve; wherein, the safety duration change curve is formed by simulating the safety duration change law of the energy storage equipment under different abnormal times by using the energy storage safety prediction model, and the specific steps include: obtaining the starting time and ending time of different abnormal types and the sampling parameters of multiple abnormal time points; obtaining multiple safety duration values by using the energy storage safety prediction model according to the starting time and ending time; analyzing different safety duration values to obtain the safety duration change law when multiple abnormal events occur in the running process; according to the multiple sampling parameters, the change law of the corresponding parameters under the abnormal type can be obtained; the safety duration change curve is drawn according to the safety duration change law and the parameter change law; wherein, the step of analyzing different safety duration values to obtain the safety duration change law when multiple abnormal events occur in the running process is: if one or more abnormal events occur in the power system running process, the safety duration value is obtained based on the time between the start and the occurrence of the abnormal event, or the safety duration value is obtained based on the time between each abnormal event, the historical safety duration of the same device is counted, and the safety duration change law is obtained.

2. The method of claim 1, wherein, The abnormal parameters in the running process of the light energy storage equipment are obtained, the abnormal parameters are classified, and multiple types of abnormal data are obtained, including: Obtaining running data and environmental data in the running process of the light energy storage equipment, and extracting the abnormal parameters based on the running data and the environmental data; Classifying the abnormal parameters to obtain temperature abnormal data, gas abnormal data, voltage abnormal data and frequency abnormal data.

3. The method of claim 1, wherein, The safety duration change curve is compared with the preset safety duration threshold, and based on the comparison result, the safe running range of the light energy storage equipment when the continuous safe running duration of the energy storage equipment reaches the preset safety duration threshold is determined, including: When the continuous safe running duration of the energy storage equipment in the safety duration change curve reaches the safety duration threshold, the light energy storage equipment running data is continuously sampled at a preset time interval within the continuous safe running duration of the energy storage equipment, and multiple sampling data are obtained; Extracting the maximum sampling data and the minimum sampling data in the multiple sampling data, and determining the safe running range of the light energy storage equipment based on the maximum sampling data and the minimum sampling data.

4. A safety management device for a light energy storage apparatus, characterized by comprising: a safety management device according to any one of claims 1 to 3. The device includes: A classification module for obtaining abnormal parameters in the running process of the light energy storage equipment, classifying the abnormal parameters, and obtaining multiple types of abnormal data; An extraction module for respectively obtaining abnormal durations corresponding to the multiple types of abnormal data, and randomly extracting abnormal data of multiple abnormal time points within the abnormal durations; A construction module for constructing a safety duration change curve based on the abnormal data of the multiple abnormal time points, and obtaining a safe running range of the light energy storage equipment based on the safety duration change curve and a preset safety duration threshold; A management module for performing safety management on the light energy storage equipment by using the safe running range; The extraction module includes: The acquisition unit is configured to acquire start time information corresponding to the abnormal data of each type, end time information when the optical energy storage device returns to a normal state, and normal operation data corresponding to the end time information; The extraction unit is configured to calculate an abnormal duration based on the start time information and the end time information, and randomly extract a plurality of abnormal time points within the abnormal duration to obtain abnormal data corresponding to the plurality of abnormal time points; The construction module includes: The construction unit is configured to construct an energy storage safety prediction model based on the start time information, the end time information, and the abnormal data of the plurality of abnormal time points; The simulation unit is configured to simulate an abnormal state using the energy storage safety prediction model to obtain a safety duration change curve; The comparison unit is configured to compare the safety duration change curve with a preset safety duration threshold, and determine a safety operation range of the optical energy storage device when the continuous safety operation duration of the energy storage device reaches the preset safety duration threshold based on a comparison result; The simulation unit includes: The acquisition subunit is configured to acquire start time and end time of different abnormal types of the energy storage device, and obtain a plurality of safety duration values using the energy storage safety prediction model based on the start time and the end time of different abnormal types of the energy storage device; The analysis subunit is configured to analyze the plurality of safety duration values to obtain a safety duration change curve; wherein the safety duration change curve is obtained by simulating a safety duration change rule of the optical energy storage device under different abnormal times using the energy storage safety prediction model, and the specific steps include: acquiring start time and end time of different abnormal types and sampling parameters of a plurality of abnormal time points; obtaining a plurality of safety duration values using the energy storage safety prediction model according to the start time and the end time; analyzing different safety duration values to obtain a safety duration change rule when multiple abnormal events occur in the operation process; obtaining a parameter change rule corresponding to the parameters under the abnormal type according to a plurality of sampling parameters; and drawing the safety duration change curve according to the safety duration change rule and the parameter change rule; wherein the step of analyzing different safety duration values to obtain a safety duration change rule when multiple abnormal events occur in the operation process is: if one or more abnormal events occur in the operation process of the power system, obtaining a safety duration value based on the time between the start and the abnormal event, or obtaining a safety duration value based on the time between each abnormal event, and obtaining a safety duration change rule by statistically analyzing the historical safety duration of the same device.

5. A computer device, comprising: The memory and the processor are communicatively connected, the memory stores computer instructions, and the processor executes the computer instructions to perform the safety management method of the optical energy storage device in any one of claims 1 to 3. The computer readable storage medium stores computer instructions, and the computer instructions are used to make the computer execute the safety management method of the optical energy storage device in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer instructions are used to make the computer execute the safety management method of the optical energy storage device in any one of claims 1 to 3.

7. A computer program product, characterised in that, ​

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