A risk warning method, device, electronic device and storage medium

Abstract

The embodiments of the present disclosure provide a risk warning method, device, electronic device and storage medium, which relate to the field of computer technology. The method includes: obtaining meter information at multiple times; determining power risk assessment information based on the difference between meter information at different times; and performing power risk warning when the power risk assessment information is greater than a preset risk warning threshold. The solution provided by the embodiments of the present disclosure can ensure the power safety of distributed energy storage equipment.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technology, and in particular to a risk early warning method, device, electronic device and storage medium. Background Art

[0002] Distributed energy storage refers to the technology of placing energy storage systems near power loads to meet the needs of power system energy regulation, peak-valley balance, power quality control, etc. Compared with traditional centralized energy storage technology, distributed energy storage is more flexible, reliable and economical.

[0003] In the related technologies, distributed energy storage devices themselves have certain safety risks, such as battery overcharging or over-discharging, internal short circuit, fire and other problems. These safety risks may cause personal injury or property loss. Sudden changes in user electricity consumption may also affect the safety and stability of distributed energy storage devices. For example, when a user suddenly increases his electricity consumption, the distributed energy storage device may need to release electricity quickly to meet the user's needs. This may cause problems such as battery overload and temperature increase.

[0004] Therefore, there is an urgent need for a method for real-time supervision of distributed energy storage equipment based on electricity consumption data from electric meters and risk warning to ensure the safety of electricity use of distributed energy storage equipment. Summary of the invention

[0005] The purpose of the embodiments of the present disclosure is to provide a risk warning method, device, electronic device and storage medium to ensure the power safety of distributed energy storage equipment. The specific technical solution is as follows:

[0006] In a first aspect, an embodiment of the present disclosure provides a risk warning method, the method comprising:

[0007] Get meter information at multiple times;

[0008] Based on the difference values ​​between the electricity meter information at different times, determine the electricity consumption risk assessment information;

[0009] When the electricity usage risk assessment information is greater than a preset risk warning threshold, an electricity usage risk warning is issued.

[0010] In one embodiment of the present disclosure, the electric meter information at each moment includes:

[0011] User meter information, equipment meter information of distributed energy storage equipment, and grid meter information of the power grid system.

[0012] In one embodiment of the present disclosure, the determining of the electricity risk assessment information based on the difference between the electricity meter information at different times includes:

[0013] Calculate the user anomaly score based on the difference between the user's meter information at different times;

[0014] Calculate the peak power consumption risk score based on the difference between the equipment meter information at different times;

[0015] Calculate the associated power consumption risk score based on the differences between the user power meter information, the equipment power meter information, and the power grid power meter information at different times, as well as the user abnormality score and the power consumption peak risk score;

[0016] The electricity consumption risk assessment information is determined according to the electricity consumption peak risk score and the associated electricity consumption risk score.

[0017] In one embodiment of the present disclosure, the calculation of the user abnormality score according to the difference between the user electricity meter information at different times includes:

[0018] Calculate the user anomaly score according to the following formula: :

[0019]

[0020] Among them, the To score the shock risk:

[0021]

[0022] Said To score the impact difference:

[0023]

[0024] Said is the first judgment threshold set, indicating the minimum security risk threshold; is a set second judgment threshold, indicating a safe limit value of power consumption;

[0025] Said To score volatility risk:

[0026]

[0027] Said Score the volatility criterion:

[0028]

[0029] Said Score for the volatility mean:

[0030]

[0031] Said The third judgment threshold is set, which represents the risk lower limit score of the degree of fluctuation of electricity consumption;

[0032] Said The fourth judgment threshold is set, indicating the safety upper limit score of the power consumption fluctuation degree;

[0033] Said represents the user's electric meter information at the i-th moment, represents the initial moment among multiple moments, Represents the number of multiple moments.

[0034] In one embodiment of the present disclosure, the calculation of the peak power consumption risk score according to the difference between the device electric meter information at different times includes:

[0035] Calculate the peak power consumption risk score according to the following formula: :

[0036]

[0037] Among them, the The fifth judgment threshold is set, indicating the peak power consumption score;

[0038] Said The sixth judgment threshold is set, indicating the low power consumption score;

[0039] Said To score your peak demand risk:

[0040]

[0041] Said Score the risk of low electricity consumption:

[0042]

[0043] Said The seventh judgment threshold is set, indicating the risk ratio of peak power consumption;

[0044] Said The eighth judgment threshold is set, indicating the risk ratio of low power consumption;

[0045] Said Indicates the equipment meter information at the i-th moment.

[0046] In one embodiment of the present disclosure, the calculation of the associated power consumption risk score based on the differences between the user power meter information, the device power meter information, and the power grid power meter information at different times, as well as the user abnormality score and the power consumption peak risk score includes:

[0047] The associated electricity risk score is calculated according to the following formula:

[0048]

[0049] Among them, the For the overall relevance score:

[0050]

[0051] Said Score the first association:

[0052]

[0053] Said Score the second association:

[0054]

[0055] Said is the ninth judgment threshold set;

[0056] Said Represents the grid meter information at the i-th moment.

[0057] In one embodiment of the present disclosure, when the power consumption risk assessment information is greater than a preset risk warning threshold, issuing a power consumption risk warning includes:

[0058] Calculate the average of the power consumption risk assessment information at multiple times;

[0059] When the mean value is greater than the preset risk warning threshold, a power consumption risk warning is issued.

[0060] In one embodiment of the present disclosure, the step of obtaining the electric meter information at multiple times includes:

[0061] Taking the current moment as the end moment, obtaining the electric meter information of a preset number of moments before the current moment, wherein the time difference between adjacent moments is the preset time difference;

[0062] The determining of the electricity risk assessment information based on the difference between the electricity meter information at different times includes:

[0063] Based on the difference values ​​between the electric meter information at the preset number of moments, the electric power consumption risk assessment information at the current moment is determined.

[0064] In a second aspect, an embodiment of the present disclosure provides a risk warning device, the device comprising:

[0065] An information acquisition module, used to acquire electric meter information at multiple times;

[0066] An information determination module, used to determine the power consumption risk assessment information based on the difference values ​​between the electric meter information at different times;

[0067] The risk warning module is used to issue an electricity risk warning when the electricity risk assessment information is greater than a preset risk warning threshold.

[0068] In one embodiment of the present disclosure, the electric meter information at each moment includes:

[0069] User meter information, equipment meter information of distributed energy storage equipment, and grid meter information of the power grid system.

[0070] In one embodiment of the present disclosure, the information determination module includes:

[0071] A first calculation unit, used for calculating a user abnormality score according to the difference between the user's electric meter information at different times;

[0072] A second calculation unit is used to calculate a peak power consumption risk score according to the difference between the device electric meter information at different times;

[0073] A third calculation unit is used to calculate the associated power consumption risk score according to the differences between the user power meter information, the equipment power meter information, and the power grid power meter information at different times, as well as the user abnormality score and the power consumption peak risk score;

[0074] An information determination unit is used to determine power consumption risk assessment information according to the power consumption peak risk score and the associated power consumption risk score.

[0075] In one embodiment of the present disclosure, the first computing unit is specifically configured to:

[0076] Calculate the user anomaly score according to the following formula: :

[0077]

[0078] Among them, the To score the shock risk:

[0079]

[0080] Said To score the impact difference:

[0081]

[0082] Said is the first judgment threshold set, indicating the minimum security risk threshold; is a set second judgment threshold, indicating a safe limit value of power consumption;

[0083] Said To score volatility risk:

[0084]

[0085] Said Score the volatility criterion:

[0086]

[0087] Said Score for the volatility mean:

[0088]

[0089] Said The third judgment threshold is set, which represents the risk lower limit score of the degree of fluctuation of electricity consumption;

[0090] Said The fourth judgment threshold is set, indicating the safety upper limit score of the power consumption fluctuation degree;

[0091] Said represents the user's electric meter information at the i-th moment, represents the initial moment among multiple moments, Represents the number of multiple moments.

[0092] In one embodiment of the present disclosure, the second computing unit is specifically configured to:

[0093] Calculate the peak power consumption risk score according to the following formula: :

[0094]

[0095] Among them, the The fifth judgment threshold is set, indicating the peak power consumption score;

[0096] Said The sixth judgment threshold is set, indicating the low power consumption score;

[0097] Said To score your peak demand risk:

[0098]

[0099] Said Score the risk of low electricity consumption:

[0100]

[0101] Said The seventh judgment threshold is set, indicating the risk ratio of peak power consumption;

[0102] Said The eighth judgment threshold is set, indicating the risk ratio of low power consumption;

[0103] Said Indicates the equipment meter information at the i-th moment.

[0104] In one embodiment of the present disclosure, the third computing unit is specifically configured to:

[0105] The associated electricity risk score is calculated according to the following formula:

[0106]

[0107] Among them, the For the overall relevance score:

[0108]

[0109] Said Score the first association:

[0110]

[0111] Said Score the second association:

[0112]

[0113] Said is the ninth judgment threshold set;

[0114] Said Represents the grid meter information at the i-th moment.

[0115] In one embodiment of the present disclosure, the risk warning module is specifically used to:

[0116] Calculate the average of the power consumption risk assessment information at multiple times;

[0117] When the mean value is greater than the preset risk warning threshold, a power consumption risk warning is issued.

[0118] In one embodiment of the present disclosure, the information acquisition module is specifically used to:

[0119] Taking the current moment as the end moment, obtaining the electric meter information of a preset number of moments before the current moment, wherein the time difference between adjacent moments is the preset time difference;

[0120] The information determination module is specifically used for:

[0121] Based on the difference values ​​between the electric meter information at the preset number of moments, the electric power consumption risk assessment information at the current moment is determined.

[0122] In a third aspect, an embodiment of the present disclosure provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus;

[0123] Memory, used to store computer programs;

[0124] The processor is used to implement any method step described in the first aspect when executing the program stored in the memory.

[0125] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, any method step described in the first aspect is implemented.

[0126] The embodiment of the present disclosure also provides a computer program product including instructions, which, when executed on a computer, enables the computer to execute any of the risk warning methods described above.

[0127] Beneficial effects of the embodiments of the present disclosure:

[0128] In the risk warning scheme provided by the embodiment of the present disclosure, the meter information at multiple times can be obtained; based on the difference between the meter information at different times, the power risk assessment information is determined; when the power risk assessment information is greater than the preset risk warning threshold, a power risk warning is issued. In this way, the user's power usage can be monitored, and when it is detected that the user's power risk is relatively high, a warning can be issued in time. It can be seen that the scheme provided by the embodiment of the present disclosure can ensure the power safety of distributed energy storage equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0129] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and for ordinary technicians in this field, other embodiments can also be obtained based on these drawings.

[0130] Figure 1 A schematic diagram of a risk warning method according to an embodiment of the present disclosure;

[0131] Figure 2 A flowchart of a method for determining electricity risk assessment information provided by an embodiment of the present disclosure;

[0132] Figure 3A schematic diagram of the structure of a risk warning device provided by an embodiment of the present disclosure;

[0133] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0134] The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field based on the present disclosure belong to the scope of protection of the present disclosure.

[0135] In order to ensure the safety of electricity use of distributed energy storage equipment, the embodiments of the present disclosure provide a risk warning method, device, electronic device and storage medium, which are described in detail below.

[0136] A risk warning method provided by an embodiment of the present disclosure can be applied to distributed energy storage devices, computers, servers and other electronic devices, and the method includes:

[0137] Get meter information at multiple times;

[0138] Based on the difference values ​​between the electricity meter information at different times, determine the electricity consumption risk assessment information;

[0139] When the electricity usage risk assessment information is greater than a preset risk warning threshold, an electricity usage risk warning is issued.

[0140] In this way, the user's electricity usage can be monitored, and when it is detected that the user's electricity usage risk is high, an early warning can be issued in time. It can be seen that the solution provided by the above embodiment can ensure the electricity safety of distributed energy storage equipment.

[0141] The above risk warning methods are introduced in detail below.

[0142] See also Figure 1 , Figure 1 The present invention provides a risk warning method according to an embodiment of the present invention, which comprises the following steps S101-S103:

[0143] S101, obtaining electric meter information at multiple times.

[0144] The electric meter information mentioned above refers to at least one of the following information: electric energy information, electric voltage information, electric current information and the like.

[0145] Specifically, the values ​​on the electric meter at different times can be directly read as the electric meter information at each time.

[0146] In one embodiment of the present disclosure, when acquiring the electric meter information at multiple times, the electric meter information at multiple consecutive times with the same time interval before the current time can be acquired, or the electric meter information at multiple consecutive times with the same time interval after the current time can be acquired. The electric meter information at multiple consecutive times with the same time interval before and after the current time can also be acquired with the current time as the intermediate time. The embodiment of the present disclosure is not limited to this.

[0147] S102: Determine electricity consumption risk assessment information based on difference values ​​between electricity meter information at different times.

[0148] Among them, the above-mentioned electricity consumption risk assessment information represents: the degree of risk of electricity consumption of users.

[0149] Specifically, the difference between the electricity meter information at different times may be calculated, and the user's electricity usage risk level may be determined based on the difference to obtain electricity usage risk assessment information.

[0150] In one embodiment of the present disclosure, the mean error, variance, etc. between the electricity meter information at different times may be calculated as the electricity risk assessment information.

[0151] The above embodiment is only an illustrative embodiment. The method for determining the detailed electricity risk assessment information provided by the present disclosure will be introduced later and will not be elaborated here.

[0152] S103, when the power consumption risk assessment information is greater than a preset risk warning threshold, a power consumption risk warning is issued.

[0153] The above-mentioned risk warning threshold is used to determine whether the electricity risk assessment information reaches a risk level, and its value can be: a threshold set manually, or a threshold determined manually based on experience.

[0154] Specifically, when the power consumption risk assessment information is greater than the above-mentioned risk warning threshold, it is considered that the current user's power consumption is at risk and the distributed energy storage equipment is under great pressure, so a power consumption risk warning can be issued;

[0155] When the electricity consumption risk assessment information is less than or equal to the above-mentioned risk warning threshold, it is considered that there is no risk in the current user's electricity consumption and the pressure on the distributed energy storage equipment is relatively small, so there is no need to issue an electricity consumption risk warning.

[0156] In one embodiment of the present disclosure, when the power consumption risk assessment information is greater than the above-mentioned risk warning threshold, a warning message can be generated and sent to the staff's information receiving device, such as a mobile phone, walkie-talkie, etc., so as to prompt the staff to handle it;

[0157] In addition, the electric energy of other energy storage devices, such as centralized energy storage devices and other distributed energy storage devices, can also be dispatched based on the above user risk assessment information to alleviate the current power consumption pressure of distributed energy storage devices.

[0158] In the solution provided by the above embodiment, the user's electricity usage can be monitored, and when it is detected that the user's electricity usage risk is relatively high, an early warning can be issued in time. It can be seen that the solution provided by the above embodiment can ensure the electricity safety of distributed energy storage equipment.

[0159] The method for determining the electricity risk assessment information is introduced in detail below.

[0160] In one embodiment of the present disclosure, the electric meter information at each moment includes:

[0161] User meter information, equipment meter information of distributed energy storage equipment, and grid meter information of the power grid system.

[0162] Among them, the user's electric meter information represents the information of the electric meter installed on the user side, representing the user's electricity consumption;

[0163] The above-mentioned device electric meter information represents the information of the electric meter installed on the side of the distributed energy storage device, and represents the power supply situation of the distributed energy storage device;

[0164] The above-mentioned power grid meter information represents information of the power meters installed on the power grid system side, and represents the power supply situation of the power grid system.

[0165] See also Figure 2 , Figure 2 The present invention provides a flowchart of a method for determining power consumption risk assessment information according to an embodiment of the present invention. For the above step S102, the power consumption risk assessment information can be determined according to the following steps:

[0166] S201, calculating a user abnormality score according to the difference between the user's electricity meter information at different times.

[0167] The above user abnormality score represents the abnormal degree of the user's electricity consumption. The greater the user's electricity consumption, the higher the abnormal degree and the larger the corresponding user abnormality score; the smaller the user's electricity consumption, the lower the abnormal degree and the smaller the corresponding user abnormality score.

[0168] In one embodiment of the present disclosure, the user abnormality score can be calculated according to the following formula: :

[0169]

[0170] in, To score the shock risk:

[0171]

[0172] To score the impact difference:

[0173]

[0174] is the first judgment threshold set, indicating the minimum security risk threshold; is a set second judgment threshold, indicating a safe limit value of power consumption;

[0175] To score volatility risk:

[0176]

[0177] Score the volatility criterion:

[0178]

[0179] Score for the volatility mean:

[0180]

[0181] The third judgment threshold is set, which represents the risk lower limit score of the degree of fluctuation of electricity consumption;

[0182] The fourth judgment threshold is set, indicating the safety upper limit score of the power consumption fluctuation degree;

[0183] represents the user's electricity meter information at the i-th moment, represents the initial moment among multiple moments, Represents the number of multiple moments.

[0184] S202, calculating a peak power consumption risk score according to the difference between the device meter information at different times.

[0185] Among them, the above-mentioned peak electricity consumption risk score represents the peak electricity consumption situation. The higher the peak electricity consumption, the greater the corresponding peak electricity consumption risk score; the lower the peak electricity consumption, the smaller the corresponding peak electricity consumption risk score.

[0186] In one embodiment of the present disclosure, the peak power consumption risk score can be calculated according to the following formula: :

[0187]

[0188] in, The fifth judgment threshold is set, indicating the peak power consumption score;

[0189] The sixth judgment threshold is set, indicating the low power consumption score;

[0190] To score your peak demand risk:

[0191]

[0192] Score the risk of low electricity consumption:

[0193]

[0194] The seventh judgment threshold is set, indicating the risk ratio of peak power consumption;

[0195] The eighth judgment threshold is set, indicating the risk ratio of low power consumption;

[0196] Indicates the equipment meter information at the i-th moment.

[0197] S203, calculating the associated power consumption risk score according to the differences among the user power meter information, the equipment power meter information, and the power grid power meter information at different times, as well as the user abnormality score and the power consumption peak risk score.

[0198] Among them, the above-mentioned associated electricity consumption risk score represents the overall risk situation of the user.

[0199] In one embodiment of the present disclosure, the associated electricity risk score may be calculated according to the following formula:

[0200]

[0201] in, For the overall relevance score:

[0202]

[0203] Score the first association:

[0204]

[0205] Score the second association:

[0206]

[0207] is the ninth judgment threshold set;

[0208] Represents the grid meter information at the i-th moment.

[0209] S204: Determine power consumption risk assessment information according to the power consumption peak risk score and the associated power consumption risk score.

[0210] In one embodiment of the present disclosure, the power consumption risk assessment information can be calculated according to the following formula:

[0211]

[0212] Based on the above scheme, in an embodiment of the present disclosure, for the above step S103, when performing risk warning, the average of the electricity risk assessment information at multiple times can be calculated; when the average is greater than a preset risk warning threshold, an electricity risk warning is performed.

[0213] Specifically, the mean can be calculated according to the following formula: :

[0214]

[0215] in, Represents the number of multiple moments, Indicates the risk warning threshold.

[0216] In one embodiment of the present disclosure, when acquiring the electric meter information at multiple times in the above step S101, the electric meter information at a preset number of times before the current time may be acquired with the current time as the end time, wherein the time difference between adjacent times is the preset time difference;

[0217] Accordingly, when determining the electricity usage risk assessment information based on the difference values ​​between the electricity meter information at different moments in the above step S102, the electricity usage risk assessment information at the current moment may be determined based on the difference values ​​between the electricity meter information at a preset number of moments.

[0218] In the risk warning scheme provided by the above embodiment, the meter information at multiple times can be obtained; based on the difference between the meter information at different times, the electricity risk assessment information is determined; when the electricity risk assessment information is greater than the preset risk warning threshold, an electricity risk warning is issued. In this way, the user's electricity usage can be monitored, and when it is detected that the user's electricity risk is relatively high, a warning can be issued in time. It can be seen that the scheme provided by the above embodiment can ensure the electricity safety of distributed energy storage equipment.

[0219] Corresponding to the above-mentioned risk warning method, the embodiment of the present disclosure also provides a risk warning device, which is described in detail below.

[0220] See also Figure 3 , Figure 3 A schematic diagram of a risk warning device provided in an embodiment of the present disclosure, the device comprising:

[0221] The information acquisition module 301 is used to acquire the electric meter information at multiple times;

[0222] An information determination module 302, configured to determine power consumption risk assessment information based on difference values ​​between electric meter information at different times;

[0223] The risk warning module 303 is used to issue a power consumption risk warning when the power consumption risk assessment information is greater than a preset risk warning threshold.

[0224] In one embodiment of the present disclosure, the electric meter information at each moment includes:

[0225] User meter information, equipment meter information of distributed energy storage equipment, and grid meter information of the power grid system.

[0226] In one embodiment of the present disclosure, the information determination module includes:

[0227] A first calculation unit, used for calculating a user abnormality score according to the difference between the user's electric meter information at different times;

[0228] A second calculation unit is used to calculate a peak power consumption risk score according to the difference between the device electric meter information at different times;

[0229] A third calculation unit is used to calculate the associated power consumption risk score according to the differences between the user power meter information, the equipment power meter information, and the power grid power meter information at different times, as well as the user abnormality score and the power consumption peak risk score;

[0230] An information determination unit is used to determine power consumption risk assessment information according to the power consumption peak risk score and the associated power consumption risk score.

[0231] In one embodiment of the present disclosure, the first computing unit is specifically configured to:

[0232] Calculate the user anomaly score according to the following formula: :

[0233]

[0234] Among them, the To score the shock risk:

[0235]

[0236] Said To score the impact difference:

[0237]

[0238] Said is the first judgment threshold set, indicating the minimum security risk threshold; is a set second judgment threshold, indicating a safe limit value of power consumption;

[0239] Said To score volatility risk:

[0240]

[0241] Said Score the volatility criterion:

[0242]

[0243] Said Score for the volatility mean:

[0244]

[0245] Said The third judgment threshold is set, which represents the risk lower limit score of the degree of fluctuation of electricity consumption;

[0246] Said The fourth judgment threshold is set, indicating the safety upper limit score of the power consumption fluctuation degree;

[0247] Said represents the user's electric meter information at the i-th moment, represents the initial moment among multiple moments, Represents the number of multiple moments.

[0248] In one embodiment of the present disclosure, the second computing unit is specifically configured to:

[0249] Calculate the peak power consumption risk score according to the following formula: :

[0250]

[0251] Among them, the The fifth judgment threshold is set, indicating the peak power consumption score;

[0252] Said The sixth judgment threshold is set, indicating the low power consumption score;

[0253] Said To score your peak demand risk:

[0254]

[0255] Said Score the risk of low electricity consumption:

[0256]

[0257] Said The seventh judgment threshold is set, indicating the risk ratio of peak power consumption;

[0258] Said The eighth judgment threshold is set, indicating the risk ratio of low power consumption;

[0259] Said Indicates the equipment meter information at the i-th moment.

[0260] In one embodiment of the present disclosure, the third computing unit is specifically configured to:

[0261] The associated electricity risk score is calculated according to the following formula:

[0262]

[0263] Among them, the For the overall relevance score:

[0264]

[0265] Said Score the first association:

[0266]

[0267] Said Score the second association:

[0268]

[0269] Said is the ninth judgment threshold set;

[0270] Said Represents the grid meter information at the i-th moment.

[0271] In one embodiment of the present disclosure, the risk warning module is specifically used to:

[0272] Calculate the average of the power consumption risk assessment information at multiple times;

[0273] When the mean value is greater than the preset risk warning threshold, a power consumption risk warning is issued.

[0274] In one embodiment of the present disclosure, the information acquisition module is specifically used to:

[0275] Taking the current moment as the end moment, obtaining the electric meter information of a preset number of moments before the current moment, wherein the time difference between adjacent moments is the preset time difference;

[0276] The information determination module is specifically used for:

[0277] Based on the difference values ​​between the electric meter information at the preset number of moments, the electric power consumption risk assessment information at the current moment is determined.

[0278] The present disclosure also provides an electronic device, such as Figure 4 As shown, it includes a processor 401, a communication interface 402, a memory 403 and a communication bus 404, wherein the processor 401, the communication interface 402, and the memory 403 communicate with each other through the communication bus 404.

[0279] Memory 403, used for storing computer programs;

[0280] The processor 401 is used to execute the program stored in the memory 403 to implement the following steps:

[0281] Get meter information at multiple times;

[0282] Based on the difference values ​​between the electricity meter information at different times, determine the electricity consumption risk assessment information;

[0283] When the electricity usage risk assessment information is greater than a preset risk warning threshold, an electricity usage risk warning is issued.

[0284] The communication bus mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0285] The communication interface is used for communication between the above electronic device and other devices.

[0286] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0287] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0288] In another embodiment provided by the present disclosure, a computer-readable storage medium is further provided, in which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned risk warning methods are implemented.

[0289] In another embodiment provided by the present disclosure, a computer program product including instructions is also provided, which, when executed on a computer, enables the computer to execute any risk warning method in the above embodiments.

[0290] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present disclosure is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive Solid State Disk (SSD)), etc.

[0291] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0292] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0293] The above description is only a preferred embodiment of the present disclosure and is not intended to limit the protection scope of the present disclosure. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure are included in the protection scope of the present disclosure.

Claims

1. A risk early warning method, characterized in that: The method comprises: Get meter information at multiple times; Based on the difference values ​​between the electricity meter information at different times, determine the electricity consumption risk assessment information; When the power consumption risk assessment information is greater than a preset risk warning threshold, a power consumption risk warning is issued; The meter information at each moment includes: User meter information, distributed energy storage device meter information, and power grid meter information of the power grid system; The determining of the electricity risk assessment information based on the difference between the electricity meter information at different times includes: Calculate the user anomaly score based on the difference between the user's meter information at different times; Calculate the peak power consumption risk score based on the difference between the equipment meter information at different times; Calculate the associated power consumption risk score based on the differences between the user power meter information, the equipment power meter information, and the power grid power meter information at different times, as well as the user abnormality score and the power consumption peak risk score; Determining electricity risk assessment information according to the electricity peak risk score and the associated electricity risk score; The calculating of the user abnormality score according to the difference between the user electric meter information at different times includes: Calculate the user anomaly score according to the following formula: : ； Among them, the To score the shock risk: ； Said To score the impact difference: ； Said is the first judgment threshold set, indicating the minimum security risk threshold; is a set second judgment threshold, indicating a safe limit value of power consumption; Said To score volatility risk: ； Said Score the volatility criterion: ； Said Score for the volatility mean: ； Said The third judgment threshold is set, which represents the risk lower limit score of the degree of fluctuation of electricity consumption; Said The fourth judgment threshold is set, indicating the safety upper limit score of the power consumption fluctuation degree; Said represents the user's electric meter information at the i-th moment, represents the initial moment among multiple moments, the Represents the quantity of multiple moments; The calculation of the peak power consumption risk score according to the difference between the equipment meter information at different times includes: Calculate the peak power consumption risk score according to the following formula: : ； Among them, the The fifth judgment threshold is set, indicating the peak power consumption score; Said The sixth judgment threshold is set, indicating the low power consumption score; Said To score your peak demand risk: ； Said Score the risk of low electricity consumption: ； Said The seventh judgment threshold is set, indicating the risk ratio of peak power consumption; Said The eighth judgment threshold is set, indicating the risk ratio of low power consumption; Said Indicates the equipment meter information at the i-th moment.

2. The method according to claim 1, characterized in that The calculation of the associated power consumption risk score based on the differences among the user power meter information, the equipment power meter information, and the power grid power meter information at different times, as well as the user abnormality score and the power consumption peak risk score, includes: The associated electricity risk score is calculated according to the following formula: ； Among them, the To score the overall association: ； Said Score the first association: ； Said Score the second association: ； Said is the ninth judgment threshold set; Said Represents the grid meter information at the i-th moment.

3. The method according to any one of claims 1 to 2, characterized in that: The obtaining of electric meter information at multiple times includes: Taking the current moment as the end moment, obtaining the electric meter information of a preset number of moments before the current moment, wherein the time difference between adjacent moments is the preset time difference; The determining of the electricity risk assessment information based on the difference between the electricity meter information at different times includes: Based on the difference values ​​between the electric meter information at the preset number of moments, the electric power consumption risk assessment information at the current moment is determined.

4. A risk warning device, characterized in that: The device comprises: An information acquisition module, used to acquire electric meter information at multiple times; An information determination module, used to determine the power consumption risk assessment information based on the difference values ​​between the electric meter information at different times; A risk warning module, used to issue a power consumption risk warning when the power consumption risk assessment information is greater than a preset risk warning threshold; The meter information at each moment includes: User meter information, distributed energy storage device meter information, and power grid meter information of the power grid system; The determining of the electricity risk assessment information based on the difference between the electricity meter information at different times includes: Calculate the user anomaly score based on the difference between the user's meter information at different times; Calculate the peak power consumption risk score based on the difference between the equipment meter information at different times; Calculate the associated power consumption risk score based on the differences between the user power meter information, the equipment power meter information, and the power grid power meter information at different times, as well as the user abnormality score and the power consumption peak risk score; Determining electricity risk assessment information according to the electricity peak risk score and the associated electricity risk score; The calculating of the user abnormality score according to the difference between the user electric meter information at different times includes: Calculate the user anomaly score according to the following formula: : ； Among them, the To score the shock risk: ； Said To score the impact difference: ； Said is the first judgment threshold set, indicating the minimum security risk threshold; is a set second judgment threshold, indicating a safe limit value of power consumption; Said To score volatility risk: ； Said Score the volatility criterion: ； Said Score for the volatility mean: ； Said The third judgment threshold is set, which represents the risk lower limit score of the degree of fluctuation of electricity consumption; Said The fourth judgment threshold is set, indicating the safety upper limit score of the power consumption fluctuation degree; Said represents the user's electric meter information at the i-th moment, represents the initial moment among multiple moments, Represents the quantity of multiple moments; The calculation of the peak power consumption risk score according to the difference between the equipment meter information at different times includes: Calculate the peak power consumption risk score according to the following formula: : ； Among them, the The fifth judgment threshold is set, indicating the peak power consumption score; Said The sixth judgment threshold is set, indicating the low power consumption score; Said To score your peak demand risk: ； Said Score the risk of low electricity consumption: ； Said The seventh judgment threshold is set, indicating the risk ratio of peak power consumption; Said The eighth judgment threshold is set, indicating the risk ratio of low power consumption; Said Indicates the equipment meter information at the i-th moment.

5. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, for implementing the method steps described in any one of claims 1 to 3 when executing a program stored in a memory.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method steps described in any one of claims 1 to 3 are implemented.

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