Safety management method and device for optical energy storage equipment

Abstract

The invention relates to the technical field of optical energy storage equipment management, and discloses a safety management method and device for optical energy storage equipment, and the method comprises the steps: obtaining abnormal parameters in the operation process of the optical energy storage equipment, classifying the abnormal parameters, and obtaining a plurality of types of abnormal data; obtaining abnormal durations corresponding to the plurality of types of abnormal data, and randomly extracting abnormal data at a plurality of abnormal time points within the abnormal durations; constructing a safe duration change curve based on the abnormal data of the plurality of abnormal time points, and obtaining a safe operation range of the optical energy storage equipment based on the safe duration change curve and a preset safe duration threshold value; and performing safety management on the optical energy storage equipment by using the safety operation range. According to the invention, the optical energy storage equipment can safely operate in a safe operation range under the extreme condition, the risk of the optical energy storage equipment is reduced, the normal operation of the optical energy storage equipment is ensured, and the operation efficiency of the optical energy storage equipment under the extreme condition is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of optical energy storage equipment management, and in particular to a method and device for safe management of optical energy storage equipment. Background Art

[0002] Photovoltaic energy storage equipment is a power generation system composed of photovoltaic equipment and energy storage equipment. During operation, photovoltaic energy storage equipment is often affected by extreme environments or internal operating conditions, resulting in low efficiency. It is often impossible to detect it in time. If there are patrol personnel to monitor it, it is easy to bring certain risks. Summary of the invention

[0003] In view of this, the present invention provides a safety management method and device for a photovoltaic energy storage device, so as to solve the problem that the photovoltaic energy storage device is affected by the environment, resulting in low efficiency and safety risks.

[0004] In a first aspect, the present invention provides a method for safety management of a light energy storage device, the method comprising:

[0005] Acquire abnormal parameters during the operation of the optical energy storage device, classify the abnormal parameters, and obtain multiple types of abnormal data;

[0006] Obtain the abnormal durations corresponding to multiple types of abnormal data respectively, and randomly extract abnormal data at multiple abnormal time points within the abnormal duration;

[0007] A safety time variation curve is constructed based on abnormal data at multiple abnormal time points, and a safe operation range of the optical energy storage device is obtained based on the safety time variation curve and a preset safety time threshold;

[0008] Use the safe operating range to safely manage solar energy storage equipment.

[0009] The present embodiment provides a safety management method for a photoelectric energy storage device, which classifies abnormal parameters, obtains abnormal durations corresponding to multiple types of abnormal data, and randomly extracts abnormal data at multiple abnormal time points within the abnormal duration, and then constructs a safety duration variation curve based on the abnormal data at multiple abnormal time points, and obtains the safe operation range of the photoelectric energy storage device based on the safety duration variation curve and a preset safety duration threshold. By analyzing different types of abnormal data, the photoelectric energy storage device is safely operated within the safe operation range under extreme conditions, thereby reducing the risk of the photoelectric energy storage device, ensuring the normal operation of the photoelectric energy storage device, and improving the operation efficiency of the photoelectric energy storage device under extreme conditions.

[0010] In an optional implementation, abnormal parameters during the operation of the optical energy storage device are obtained, and the abnormal parameters are classified to obtain multiple types of abnormal data, including:

[0011] Obtaining the operating data and environmental data of the optical energy storage device during operation, and extracting abnormal parameters based on the operating data and environmental data;

[0012] The abnormal parameters are classified to obtain temperature abnormality data, gas abnormality data, voltage abnormality data and frequency abnormality data.

[0013] The present embodiment provides a safety management method for a photovoltaic energy storage device, which extracts abnormal parameters and classifies the abnormal parameters, thereby setting an extreme situation for the photovoltaic energy storage device and laying a foundation for subsequent analysis of abnormal data.

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

[0015] Respectively obtain the start time information corresponding to the multiple types of abnormal data, the end time information when the optical energy storage device returns to a normal state, and the normal operation data corresponding to the end time information;

[0016] The abnormal duration is calculated based on the start time information and the end time information, and multiple abnormal time points are randomly selected within the abnormal duration to obtain abnormal data corresponding to the multiple abnormal time points.

[0017] The present embodiment provides a safety management method for a photovoltaic energy storage device, which provides a data basis for the construction of a subsequent energy storage safety prediction model by randomly extracting multiple abnormal time points within the abnormal duration and obtaining abnormal data corresponding to the multiple abnormal time points.

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

[0019] Construct an energy storage safety prediction model based on the start time information, end time information and abnormal data at multiple abnormal time points;

[0020] Use the energy storage safety prediction model to simulate abnormal conditions and obtain the safety duration change curve;

[0021] The safety time change curve is compared with the preset safety time threshold, and based on the comparison result, the safe operation range of the light energy storage device is determined when the continuous safe operation time of the energy storage device reaches the preset safety time threshold.

[0022] The present embodiment provides a safety management method for a photovoltaic energy storage device. By constructing an energy storage safety prediction model and using the energy storage safety prediction model to simulate abnormal conditions, a safety duration variation curve is obtained. This method can accurately analyze the current safety operation data of the photovoltaic energy storage device, so that the photovoltaic energy storage device can adapt to more complex or special situations.

[0023] In an optional implementation, an abnormal state simulation is performed using an energy storage safety prediction model to obtain a safety time variation curve, including:

[0024] Obtain the start time and end time of different abnormal types of energy storage equipment, and based on the start time and end time of different abnormal types of energy storage equipment, use the energy storage safety prediction model to obtain multiple safety time values;

[0025] Analyze multiple safety time values ​​to obtain a safety time change curve.

[0026] The present embodiment provides a safety management method for a photovoltaic energy storage device, which uses an energy storage safety prediction model to obtain multiple safety time values, and analyzes the multiple safety time values ​​to obtain a safety time change curve, thereby achieving accurate simulation of different types of abnormal scenarios, making the safety time change curve more accurate.

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

[0028] When the continuous safe operation time of the energy storage device in the safety time change curve reaches the safety time threshold, the operation data of the optical energy storage device is continuously sampled at preset time intervals within the continuous safety time to obtain multiple sampling data;

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

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

[0031] In a second aspect, the present invention provides a safety management device for a light energy storage device, the device comprising:

[0032] A classification module is used to obtain abnormal parameters during the operation of the optical energy storage device, classify the abnormal parameters, and obtain multiple types of abnormal data;

[0033] An extraction module is used to obtain the abnormal durations corresponding to multiple types of abnormal data, and randomly extract abnormal data at multiple abnormal time points within the abnormal duration;

[0034] A construction module is used to construct a safety time change curve based on abnormal data at multiple abnormal time points, and obtain a safe operation range of the optical energy storage device based on the safety time change curve and a preset safety time threshold;

[0035] The management module is used to safely manage the optical energy storage device using the safe operation range.

[0036] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the safety management method for a photovoltaic energy storage device according to the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0037] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the safety management method for a photovoltaic energy storage device according to the first aspect or any corresponding embodiment thereof.

[0038] In a fifth aspect, the present invention provides a computer program product, including computer instructions, which are used to enable a computer to execute the safety management method for a photovoltaic energy storage device according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 is a flow chart of a safety management method for a light energy storage device according to an embodiment of the present invention;

[0041] Figure 2 is a flow chart of another method for safety management of optical energy storage equipment according to an embodiment of the present invention;

[0042] Figure 3is a flow chart of another method for safety management of a light energy storage device according to an embodiment of the present invention;

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

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

[0045] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0046] According to an embodiment of the present invention, an embodiment of a safety management method for a photovoltaic energy storage device is provided. It should be noted that the steps shown in the flowchart of the accompanying 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 can be executed in an order different from that shown here.

[0047] In this embodiment, a safety management method for an optical energy storage device is provided, which can be used in mobile terminals, such as mobile phones, computers, etc. Figure 1 is a flow chart of a safety management method for a light energy storage device according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0048] Step S101, obtaining abnormal parameters during the operation of the optical energy storage device, classifying the abnormal parameters, and obtaining multiple types of abnormal data.

[0049] Step S102, respectively obtain the abnormal durations corresponding to the abnormal data of multiple types, and randomly extract the abnormal data at multiple abnormal time points within the abnormal duration.

[0050] Step S103, constructing a safety time variation curve based on the abnormal data at multiple abnormal time points, and obtaining a safe operation range of the solar energy storage device based on the safety time variation curve and a preset safety time threshold.

[0051] Step S104: perform safety management on the solar energy storage device using the safe operation range.

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

[0053] The present embodiment provides a safety management method for a photoelectric energy storage device, which classifies abnormal parameters, obtains abnormal durations corresponding to multiple types of abnormal data, and randomly extracts abnormal data at multiple abnormal time points within the abnormal duration, and then constructs a safety duration variation curve based on the abnormal data at multiple abnormal time points, and obtains the safe operation range of the photoelectric energy storage device based on the safety duration variation curve and a preset safety duration threshold. By analyzing different types of abnormal data, the photoelectric energy storage device is safely operated within the safe operation range under extreme conditions, thereby reducing the risk of the photoelectric energy storage device, ensuring the normal operation of the photoelectric energy storage device, and improving the operation efficiency of the photoelectric energy storage device under extreme conditions.

[0054] In this embodiment, a safety management method for an optical energy storage device is provided, which can be used in the above-mentioned mobile terminals, such as mobile phones, computers, etc. Figure 2 is a flow chart of a safety management method for a light energy storage device according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0055] Step S201, obtaining abnormal parameters during the operation of the optical energy storage device, classifying the abnormal parameters, and obtaining multiple types of abnormal data.

[0056] Specifically, the above step S201 includes:

[0057] Step S2011, obtaining operation data and environmental data during the operation of the optical energy storage device, and extracting abnormal parameters based on the operation data and environmental data.

[0058] Specifically, operating data and environmental data are obtained from historical data or real-time monitoring data of the optical energy storage device, and a certain number of different types of abnormal parameters that cause the energy storage device to operate abnormally or stop operating are extracted. The abnormal parameters can be divided into at least 4 categories, namely temperature (humidity), gas state, voltage and frequency.

[0059] Furthermore, temperature abnormality data refers to the real-time monitoring value when the temperature is too high or too low; gas state abnormality data refers to the amount of risky gas exceeding a certain safety value; voltage abnormality data refers to the voltage value that is too high or too low when the photovoltaic energy storage device is running. For example, the operating voltage of the photovoltaic energy storage device is 100-500V, and risky voltages such as 10v or 1000V are classified as voltage abnormality data; frequency abnormality data refers to the excessive amplitude of frequency fluctuation when the device is running.

[0060] Step S2012, classifying the abnormal parameters to obtain temperature abnormality data, gas abnormality data, voltage abnormality data and frequency abnormality data.

[0061] Step S202, respectively obtain the abnormal durations corresponding to the abnormal data of multiple types, and randomly extract the abnormal data at multiple abnormal time points within the abnormal duration. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0062] Step S203: construct a safety time change curve based on the abnormal data at multiple abnormal time points, and obtain the safe operation range of the solar energy storage device based on the safety time change curve and the preset safety time threshold. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0063] Step S204: Use the safe operation range to perform safety management on the optical energy storage device. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0064] The present embodiment provides a safety management method for a photovoltaic energy storage device, which extracts abnormal parameters and classifies the abnormal parameters, thereby setting an extreme situation for the photovoltaic energy storage device and laying a foundation for subsequent analysis of abnormal data.

[0065] In this embodiment, a safety management method for an optical energy storage device is provided, which can be used in the above-mentioned mobile terminals, such as mobile phones, computers, etc. Figure 3 is a flow chart of a safety management method for a light energy storage device according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0066] Step S301, obtain abnormal parameters during the operation of the optical energy storage device, classify the abnormal parameters, and obtain multiple types of abnormal data. Figure 2 Step S201 of the illustrated embodiment will not be described in detail here.

[0067] Step S302 , respectively obtain the abnormal durations corresponding to the abnormal data of multiple types, and randomly extract the abnormal data at multiple abnormal time points within the abnormal durations.

[0068] Specifically, the above step S302 includes:

[0069] Step S3021, respectively obtaining the start time information corresponding to multiple types of abnormal data, the end time information when the solar energy storage device returns to a normal state, and the normal operation data corresponding to the end time information.

[0070] Specifically, for each type of abnormal data, obtain the start time information when the abnormal data appears (i.e., the optical energy storage device operates abnormally or stops operating), and the respective abnormal data corresponding to the start time information. At the same time, obtain the end time information when the optical energy storage device returns to the normal state, and the respective normal data corresponding to the end time information.

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

[0072] Step S3022: Calculate the abnormal duration based on the start time information and the end time information, and randomly select multiple abnormal time points within the abnormal duration to obtain the abnormal data corresponding to the multiple abnormal time points.

[0073] Specifically, take the difference between the end time information and the start time information as the abnormal duration. For example, the calculation formula for the temperature abnormal duration Ta is as follows:

[0074] Ta = Ta2 - Ta1

[0075] Further, within the abnormal duration, that is, between the start time information and the end time information, randomly select at least 3 abnormal time points and the abnormal data corresponding to each abnormal time point. For example, the temperature sampling abnormal time points are Ta3, Ta4, Ta5, where Ta1 < Ta3 < Ta4 < Ta5 < Ta2, and the temperature abnormal data corresponding to each time point are Wa3, Wa4, Wa5 respectively.

[0076] Step S303: Construct a safety duration change curve based on the abnormal data of multiple abnormal time points, and obtain the safe operating range of the optical energy storage device based on the safety duration change curve and the preset safety duration threshold.

[0077] Specifically, the above step S303 includes:

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

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

[0080] Furthermore, the energy storage safety prediction model is constructed based on machine learning of data under different abnormal times to form a prediction model for safety duration simulation with high accuracy, including temperature safety prediction model, gas safety prediction model, voltage safety prediction model, frequency safety prediction model, etc.; among which, different abnormal times refer to information such as the various times of multiple different abnormal situations occurring under the same abnormal type.

[0081] Step S3032, using the energy storage safety prediction model to simulate the abnormal state and obtain a safety time variation curve.

[0082] Specifically, the energy storage safety prediction model is used to simulate the safety duration change pattern of the optical energy storage equipment under different abnormal times, and form a safety duration change curve.

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

[0084] Step a1, obtaining the start time and end time of different abnormal types of energy storage equipment, and based on the start time and end time of different abnormal types of energy storage equipment, using the energy storage safety prediction model to obtain multiple safety time values.

[0085] Step a2, analyzing multiple safety time values ​​to obtain a safety time variation curve.

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

[0087] Among them, the steps for analyzing different safety time values ​​and obtaining the safety time change law when multiple abnormalities occur during operation are as follows: if one or more abnormal situations occur during the operation of the power system, the safety time value is obtained based on the time from the beginning to the occurrence of the abnormality, or the safety time value is obtained based on the time between each abnormality, and then the historical safety time of the same equipment is counted to obtain the safety time change law.

[0088] Step S3033, comparing the safety time change curve with the preset safety time threshold, and based on the comparison result, determining the safe operation range of the light energy storage device when the continuous safe operation time of the energy storage device reaches the preset safety time threshold.

[0089] In some optional implementations, the above step S3033 includes:

[0090] Step b1, when the continuous safe operation time of the energy storage device in the safety time change curve reaches the safety time threshold, the operation data of the optical energy storage device is continuously sampled at preset time intervals within the continuous safety time to obtain multiple sampling data.

[0091] Specifically, the changing rules and curves of different types of safety durations are analyzed to obtain the operating data or environmental data continuously sampled at certain intervals during the continuous safe operation process when the energy storage equipment continuously operates safely and reaches a certain threshold under various types of data.

[0092] Step b2, extracting the maximum sampling data and the minimum sampling data from the multiple sampling data, and determining the safe operation range of the optical energy storage device based on the maximum sampling data and the minimum sampling data.

[0093] For example, assuming that the safe operation threshold is TH, when the continuous safe operation time based on temperature reaches TH, the temperature values ​​T (T1, T2, T3...Tn) of the starting point, the end point and multiple sampling points every 1 second (set according to human experience) of the optical energy storage device within the continuous safe operation time are obtained at certain time intervals, and the range between Max (T1, T2, T3...Tn) and Min (T1, T2, T3...Tn) is obtained and determined as the temperature value range for safe operation of the optical energy storage device, and the temperature value range for safe operation of the optical energy storage device is used as the safe operation range.

[0094] Step S304: Use the safe operation range to perform safety management on the solar energy storage device. Figure 2 Step S204 of the illustrated embodiment will not be described in detail here.

[0095] The present embodiment provides a safety management method for a photovoltaic energy storage device, which provides a data basis for the construction of a subsequent energy storage safety prediction model by randomly extracting multiple abnormal time points within the abnormal duration and obtaining abnormal data corresponding to the multiple abnormal time points; secondly, by constructing an energy storage safety prediction model and using the energy storage safety prediction model to simulate abnormal states, a safety duration variation curve is obtained, which can accurately analyze the current safety operation data of the photovoltaic energy storage device, so that the photovoltaic energy storage device can adapt to more complex or special situations.

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

[0097] This embodiment provides a safety management device for an optical energy storage device, such as Figure 4 As shown, including:

[0098] The classification module 401 is used to obtain abnormal parameters during the operation of the optical energy storage device, classify the abnormal parameters, and obtain multiple types of abnormal data;

[0099] The extraction module 402 is used to respectively obtain the abnormal durations corresponding to the abnormal data of multiple types, and randomly extract the abnormal data at multiple abnormal time points within the abnormal duration;

[0100] A construction module 403 is used to construct a safety time change curve based on the abnormal data at multiple abnormal time points, and obtain a safe operation range of the optical energy storage device based on the safety time change curve and a preset safety time threshold;

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

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

[0103] An extraction unit, used to obtain operation data and environmental data during the operation of the optical energy storage device, and extract abnormal parameters based on the operation data and environmental data;

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

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

[0106] An acquisition unit, used to respectively acquire start time information corresponding to multiple types of abnormal data, 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 used to calculate the abnormal duration based on the start time information and the end time information, and randomly extract multiple abnormal time points within the abnormal duration to obtain abnormal data corresponding to the multiple abnormal time points.

[0108] In some optional implementations, the construction module 403 includes:

[0109] A construction unit, used to construct an energy storage safety prediction model based on the start time information, the end time information and the abnormal data of multiple abnormal time points;

[0110] A simulation unit is used to simulate abnormal conditions using an energy storage safety prediction model to obtain a safety duration change curve;

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

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

[0113] An acquisition subunit is used to acquire 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, obtain multiple safety time values ​​using an energy storage safety prediction model;

[0114] The analysis subunit is used to analyze multiple safety time values ​​to obtain a safety time change curve.

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

[0116] A sampling sub-unit is used to continuously sample the operation data of the optical energy storage device at preset time intervals within the continuous safety time when the continuous safe operation time of the energy storage device in the safety time change curve reaches the safety time threshold, so as to obtain a plurality of sampling data;

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

[0118] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

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

[0120] The embodiment of the present invention also provides a computer device having the above Figure 4 A safety management device for a photoelectric energy storage device is shown.

[0121] See also Figure 5 , Figure 5 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 5 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 5 A processor 10 is taken as an example.

[0122] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0123] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0124] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned 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 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[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 may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

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

[0128] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or 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 a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0129] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0130] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A safety management method for optical energy storage equipment, characterized in that: The method comprises: Acquire abnormal parameters during the operation of the optical energy storage device, classify the abnormal parameters, and obtain multiple types of abnormal data; Acquire the abnormal durations corresponding to the multiple types of abnormal data respectively, and randomly extract abnormal data at multiple abnormal time points within the abnormal durations; Building a safety time variation curve based on the abnormal data of the multiple abnormal time points, and obtaining a safe operation range of the optical energy storage device based on the safety time variation curve and a preset safety time threshold; The safe operation range is used to perform safety management on the optical energy storage device.

2. The method according to claim 1, characterized in that The abnormal parameters during the operation of the optical energy storage device are obtained, and the abnormal parameters are classified to obtain multiple types of abnormal data, including: Acquiring operation data and environmental data during the operation of the optical energy storage device, and extracting the abnormal parameter based on the operation data and environmental data; The abnormal parameters are classified to obtain temperature abnormality data, gas abnormality data, voltage abnormality data and frequency abnormality data.

3. The method according to claim 1, characterized in that The step of respectively obtaining the abnormal durations corresponding to the multiple types of abnormal data and randomly extracting abnormal data at multiple abnormal time points within the abnormal durations includes: Respectively acquiring the start time information corresponding to the multiple types of abnormal data, the end time information when the optical energy storage device returns to a normal state, and the normal operation data corresponding to the end time information; The abnormal duration is calculated based on the start time information and the end time information, and a plurality of abnormal time points are randomly selected within the abnormal duration to obtain abnormal data corresponding to the plurality of abnormal time points.

4. The method according to claim 3, characterized in that The step of constructing a safety time variation curve based on the abnormal data of the multiple abnormal time points, and obtaining a safe operation range of the optical energy storage device based on the safety time variation curve and a preset safety time threshold, includes: Building an energy storage safety prediction model based on the start time information, the end time information and the abnormal data at the multiple abnormal time points; Using the energy storage safety prediction model to simulate abnormal conditions, and obtain the safety time variation curve; The safety time variation curve is compared with the preset safety time threshold, and based on the comparison result, the safe operation range of the optical energy storage device is determined when the continuous safe operation time of the energy storage device reaches the preset safety time threshold.

5. The method according to claim 4, characterized in that The abnormal state simulation is performed using the energy storage safety prediction model to obtain the safety time change curve, including: 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 the different abnormal types of the energy storage devices, using the energy storage safety prediction model to obtain multiple safety time values; The multiple safety time values ​​are analyzed to obtain the safety time variation curve.

6. The method according to claim 4, characterized in that The step of comparing the safety time change curve with the preset safety time threshold, and determining the safe operation range of the optical energy storage device when the continuous safe operation time of the energy storage device reaches the preset safety time threshold based on the comparison result, includes: When the continuous safe operation time of the energy storage device in the safety time change curve reaches the safety time threshold, the operation data of the optical energy storage device is continuously sampled at preset time intervals within the continuous safety time to obtain a plurality of sampled data; The maximum sampling data and the minimum sampling data among the plurality of sampling data are extracted, and the safe operation range of the optical energy storage device is determined based on the maximum sampling data and the minimum sampling data.

7. A safety management device for optical energy storage equipment, characterized in that: The device comprises: A classification module, used to obtain abnormal parameters during the operation of the optical energy storage device, classify the abnormal parameters, and obtain multiple types of abnormal data; An extraction module, used to respectively obtain the abnormal durations corresponding to the multiple types of abnormal data, and randomly extract abnormal data at multiple abnormal time points within the abnormal duration; A construction module, used to construct a safety time change curve based on the abnormal data of the multiple abnormal time points, and obtain a safe operation range of the optical energy storage device based on the safety time change curve and a preset safety time threshold; A management module is used to perform safety management on the optical energy storage device using the safe operation range.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the safety management method for the optical energy storage device according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the safety management method for a light energy storage device according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions, wherein the computer instructions are used to enable a computer to execute the safety management method for the optical energy storage device according to any one of claims 1 to 6.

Images