Power grid user low-voltage risk early warning method, device, equipment and medium

Abstract

The invention relates to a power grid user low-voltage risk early warning method, device and equipment and a medium, and belongs to the technical field of power grid monitoring. According to the method, through continuous analysis of the past voltage data of the user in a certain duration before the current moment, different levels of subdivided normalized monitoring and early warning are carried out on the low-voltage risk of the user, and the early warning method does not need to occupy too many computing resources, is suitable for large-range power grid user monitoring and has high practicability. According to the method, a precondition basis is provided for timely discovery and timely processing of a low-voltage event before the low-voltage event really occurs, a solution mode of post-processing of an existing low-voltage problem is changed, the processing time efficiency and the processing effect of the low-voltage problem are remarkably improved, and therefore the power supply quality of a power grid and the power utilization satisfaction degree of customers are improved.

Description

Technical Field

[0001] The present invention is applicable to the technical field of power grid monitoring, and in particular relates to a method, device, equipment and medium for early warning of low voltage risk for power grid users. Background Art

[0002] If the voltage of users on the demand side of the power grid is too low, it will cause abnormal lighting, performance loss or malfunction of electrical equipment, and in severe cases, damage to the equipment, causing inconvenience to users' lives and affecting the efficiency of industrial production and product quality.

[0003] At present, low voltage among users mainly occurs in suburban and rural areas. On the one hand, because the users in suburban and rural areas are dispersed, the low-voltage distribution lines are long. Limited by the capacity of transmission lines and transformers, the voltage at the end of the distribution network line may be reduced due to insufficient power during peak load. As suburban and rural settlements continue to extend, the load center continues to shift, and the low voltage phenomenon in suburban and rural areas will continue to worsen. On the other hand, the seasonality of agricultural production leads to strong seasonality of rural grid load. As the living standards of rural residents improve, the proportion of strong seasonal loads such as air conditioners in rural grid load increases year by year, which also aggravates the seasonal variation of rural grid load and leads to low voltage during peak electricity consumption season.

[0004] At present, the handling of low voltage problems is still in the traditional post-processing state. Only when low voltage causes power problems will corresponding processing be carried out. There is a lack of advance warning, prevention and in-process control. In addition, suburban and rural areas are relatively remote, and post-processing takes a long time, which further aggravates the severity of the consequences of low voltage. Therefore, the current method of handling low voltage problems has technical problems such as long processing time and poor treatment effect. Summary of the invention

[0005] In view of this, an embodiment of the present invention provides a low voltage risk early warning method, device, equipment and medium for power grid users to solve the problem.

[0006] In a first aspect, a low voltage risk early warning method for a power grid user is provided, the method comprising: Continuously collecting voltage values ​​of the user to be determined, and obtaining a user voltage curve based on the voltage values ​​of the user to be determined for a preset time before the current moment; Sampling the voltage value on the user voltage curve at a set sampling interval to obtain a sampling value, setting a preset number of voltage warning intervals and setting different warning levels for different voltage warning intervals, and setting a warning issuing condition for each voltage warning interval based on the set sampling interval; Determine whether the number of sampling values ​​falling into the current voltage warning interval meets the warning issuance conditions of the current voltage warning interval. If so, issue a low voltage warning of the warning level corresponding to the current voltage warning interval. At the same time, if there are multiple low voltage warnings of warning levels, directly change to issuing a low voltage warning of the highest warning level.

[0007] In a second aspect, a low voltage risk early warning device for a power grid user is provided, the device comprising: A voltage acquisition module, used for continuously collecting voltage values ​​of the user to be judged, and obtaining a user voltage curve based on the voltage values ​​of the user to be judged for a preset time before the current moment; An early warning condition setting module, used to sample the voltage value on the user voltage curve at a set sampling interval to obtain a sampling value, set a preset number of voltage early warning intervals and set different early warning levels for different voltage early warning intervals, and set an early warning condition for each voltage early warning interval based on the set sampling interval; The warning execution module is used to determine whether the number of sampling values ​​falling into the current voltage warning interval meets the warning issuance conditions of the current voltage warning interval. If so, a low voltage warning of the warning level corresponding to the current voltage warning interval is issued. At the same time, if there are low voltage warnings of multiple warning levels, a low voltage warning of the highest warning level is directly issued instead.

[0008] In a third aspect, an embodiment of the present invention provides a computer device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the low voltage risk warning method for power grid users as described in the first aspect when executing the computer program.

[0009] In a fourth aspect, an embodiment of the present invention 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, the low voltage risk warning method for power grid users as described in the first aspect is implemented.

[0010] Compared with the prior art, the present invention has the following beneficial effects: The low voltage risk early warning method for power grid users of the present invention continuously analyzes the past voltage data of users for a certain period of time before the current moment, and performs regular monitoring and early warning of low voltage risks of users at different levels. The early warning method does not need to occupy too many computing resources and is suitable for monitoring a large range of power grid users. It provides a prerequisite for timely discovery and subsequent timely processing of low voltage events before they actually occur, changes the existing post-processing solution for low voltage problems, and significantly improves the processing timeliness and effect of low voltage problems, thereby improving the power supply quality of the power grid and customer satisfaction with electricity consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0012] Figure 1 It is a flow chart of a low voltage risk early warning method for power grid users provided in the first embodiment of the present invention; Figure 2 It is a flowchart of a method for controlling a processing work order for a low-voltage user provided in a fourth embodiment of the present invention; Figure 3 It is a structural schematic diagram of a low voltage risk early warning device for a power grid user provided in Embodiment 5 of the present invention; Figure 4 It is a structural diagram of a computer device provided in Embodiment 6 of the present invention. DETAILED DESCRIPTION

[0013] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0014] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0015] It should also be understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0016] As used in the present specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]", depending on the context.

[0017] In addition, in the description of the present specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0018] References to "one embodiment" or "some embodiments" etc. described in the present specification mean that one or more embodiments of the present invention include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0019] The embodiments of the present invention can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0020] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0021] It should be understood that the order of execution of the steps in the following embodiments does not imply a precedence of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0022] In order to illustrate the technical solution of the present invention, specific embodiments are provided below for illustration.

[0023] See also Figure 1 , is a flow chart of a method for early warning of low voltage risk of power grid users provided in Embodiment 1 of the present invention, and the method may include the following steps: S101 , continuously collecting voltage values ​​of a user to be determined, and obtaining a user voltage curve based on the voltage values ​​of the user to be determined for a preset time period before a current moment.

[0024] For the purpose of early warning, it is necessary to collect and obtain the user's voltage before low voltage causes adverse events such as electrical failures, so as to provide an analytical basis for low voltage risk early warning. To this end, an electricity consumption information collection system can be used to continuously collect and obtain in real time the voltage values ​​of users who may have low voltage problems. As a preferred embodiment, the user's household voltage is selected as the voltage value of the user. In other embodiments, other voltage acquisition methods can also be selected, as long as the voltage acquisition standards of each household are unified.

[0025] Based on real-time acquisition, the voltage value data of the user to be judged will form sufficient historical data, so that the voltage value data of the user to be judged for a preset time before the current moment can be selected to obtain the user voltage curve. Among them, the preset time can be selected by the operator according to the situation, and the preferred time length in this embodiment is 24 hours.

[0026] The user voltage curve can be obtained by curve fitting the voltage value data of the user to be judged for a preset time before the current moment. Curve fitting is a prior art and will not be described in detail in this embodiment. However, considering the accuracy of low voltage identification, it is also possible not to perform fitting, but directly select the voltage value data of the user to be judged for a preset time before the current moment, and then combine the voltage values ​​into a user voltage curve in the order of the time obtained. In this way, although there are non-smooth positions in the curve, it is more conducive to low voltage identification.

[0027] S102, sampling the voltage value on the user voltage curve at a set sampling interval to obtain a sampling value, setting a preset number of voltage warning intervals and setting different warning levels for different voltage warning intervals, and setting a warning issuing condition for each voltage warning interval based on the set sampling interval.

[0028] In order to reduce the amount of calculation, after obtaining the user voltage curve, the voltage value on the user voltage curve is sampled at a set sampling interval to obtain a sampling value. The size of the set sampling interval can be set according to the situation. In this embodiment, the sampling interval is set to 1 hour, and the time length of the user voltage curve as described in step S101 is 24 hours, so 24 sampling values ​​can be obtained.

[0029] In order to distinguish the severity of low voltage, a preset number of voltage warning intervals are set and different warning levels are set for each voltage warning interval. In this embodiment, the preferred preset number is 3. In other embodiments, the severity of low voltage can be further subdivided and more voltage warning intervals can be set as appropriate, or the number of voltage warning intervals can be reduced to improve safety and issue a warning when low voltage is detected.

[0030] Based on setting the number of voltage warning intervals to 3, this embodiment sorts the three voltage warning intervals from small to large according to the median of the voltage warning interval, and sets the warning levels of the three voltage warning intervals from high to low, namely red warning, orange warning and yellow warning. That is, when the voltage of the voltage warning interval in which the sample value falls is smaller, the level of the low voltage warning triggered is higher.

[0031] Also, since the number of sampling values ​​is directly related to the size of the set sampling interval, and the larger the set sampling interval, the fewer the number of sampling values ​​ultimately obtained, naturally even under low voltage, the number of sampling values ​​falling into each voltage warning interval will be smaller, so it is necessary to set the warning issuance conditions for each voltage warning interval according to the set sampling interval.

[0032] In this embodiment, the preferred warning issuance condition is whether the number of sample values ​​falling into the voltage warning interval reaches a preset statistical threshold, and the preset statistical threshold is an integer and the value is inversely proportional to the set sampling interval. Of course, in other embodiments, other warning issuance conditions can also be set, such as whether the mean value of the sample values ​​falling into the voltage warning interval is less than the median value of the voltage warning interval, and so on.

[0033] S103, determine whether the number of sampling values ​​falling into the current voltage warning interval meets the warning issuance condition of the current voltage warning interval. If so, issue a low voltage warning of the warning level corresponding to the current voltage warning interval. At the same time, if there are multiple low voltage warnings of warning levels, directly change to issuing a low voltage warning of the highest warning level.

[0034] It is easy to understand that the triggering of the warning conditions for different voltage warning intervals is independent of each other and does not affect each other. Therefore, if the warning conditions for the current voltage warning interval are met, a low voltage warning corresponding to the warning level of the voltage warning interval, such as a yellow warning, will be issued. However, for the same user, when a yellow warning is triggered, a low voltage warning of other warning levels, such as an orange warning, is also triggered. At this time, it indicates that the low voltage situation of the user is not occasional and occurs frequently. In order to make the low voltage warning more reasonable and accurate, no orange or yellow warning will be issued, and a low voltage warning of the highest warning level, that is, a red warning, will be issued directly instead.

[0035] The low voltage risk warning method for power grid users of this embodiment of the present invention continuously analyzes the past voltage data of users before the current moment, and performs regular monitoring and warning of low voltage risks of users at different levels. The warning method saves computing resources and is applicable to a wide range of power grid users. It provides a prerequisite for the timely discovery and subsequent timely processing of low voltage events before they actually occur, changes the existing post-processing solution for low voltage problems, and significantly improves the processing timeliness and effect of low voltage problems, thereby improving the power supply quality of the power grid and customer satisfaction with electricity consumption.

[0036] In the second embodiment, in step S101, obtaining a user voltage curve based on the voltage value of the user to be determined for a preset time before the current moment specifically includes: Firstly, the voltage value of the user to be judged that is collected and preset before the current moment is cleaned and verified, and then the cleaned and verified data is curve-fitted to obtain the user voltage curve.

[0037] The purpose of data cleaning is to eliminate invalid and misleading data, and the purpose of verification is to ensure the authenticity and validity of the data. In this embodiment, preferably, data cleaning includes eliminating invalid readings caused by transformer failure or transmission error, and eliminating negative voltage values ​​or voltage values ​​that exceed the preset acceptable voltage range, to complete the data cleaning; and verification includes secondary confirmation of voltage values ​​that exceed the preset conventional voltage range, to complete the verification.

[0038] Among them, the preset acceptable voltage range is larger than the preset conventional voltage range, or the preset conventional voltage range falls within the preset acceptable voltage range. The preset conventional voltage range refers to the voltage range in which the user voltage is usually located. When the acquired data includes uncommon voltage data that exceeds the preset conventional voltage range, although the data at this time is not necessarily wrong, in order to ensure the authenticity and validity of the data, the present embodiment also provides for secondary confirmation of the voltage data that exceeds the preset conventional voltage range; and the preset acceptable voltage range refers to the voltage range of the user voltage value under various non-extreme or extreme conditions under the premise of the user's electricity use. When the voltage data exceeds the preset acceptable voltage range, it indicates that the voltage data at this time must be abnormal or the acquisition is wrong.

[0039] The preset adoptable voltage range and the preset conventional voltage range can be set by the operator according to the actual situation, and will not be given in detail in this embodiment.

[0040] In the third embodiment, a specific method for low voltage warning in step S103 is provided.

[0041] Based on the above embodiment, the voltage value data of the user for 24 hours before the current time is obtained, and the sampling interval is set to 1 hour to obtain 24 corresponding sampling values, the low voltage warning method at this time is set as follows: Red warning: when 2 or more sampling values ​​are in the 130V-170V voltage warning range, or 4 or more sampling values ​​are lower than 198V; Orange warning: when two or more sampling values ​​are in the voltage warning range of 130V-185V; Yellow warning: when 2 or 3 sampling values ​​are in the voltage warning range of 130V-198V; Blue warning: In addition to the above three ranges, low voltage phenomena that occur are blue warnings.

[0042] Among them, red warning, orange warning and yellow warning are low pressure warning situations that must be handled, while blue warning is relatively minor and can be flexibly set by the operator whether to handle it. However, if the same user has multiple red, orange and yellow warnings at the same time, it means that the low pressure situation of the user is not accidental, and a red warning will be issued directly.

[0043] Furthermore, this embodiment also provides a low voltage warning method when the sampling interval is further reduced to 15 minutes on the basis of 1 hour and the number of corresponding sampling values ​​is 96: Red warning: when 2 or more sampling values ​​are in the 130V-170V voltage warning range, or 8 or more sampling values ​​are lower than 198V; Orange warning: when 2 or more sampling values ​​are in the voltage warning range of 130V-185V, or 5 to 7 sampling values ​​are lower than 198V; Yellow warning: when 3 or 4 sampling values ​​are lower than 198V; Blue warning: In addition to the above three ranges, low voltage phenomena that occur are blue warnings.

[0044] Similarly, during the early warning process, for users who have repeated red, orange, and yellow warnings, a direct change to the highest level red warning will be issued, and the operator can flexibly decide whether to handle the blue warning.

[0045] This embodiment provides a low voltage early warning method for common 24-point voltage curves and 96-point voltage curves, thereby improving the scenario applicability of the low voltage risk early warning method for power grid users of the present invention.

[0046] In the fourth embodiment, Figure 2 As shown, a method for processing work orders for low voltage warning users, that is, low voltage users, is given.

[0047] 1) Order acceptance: The substation manager uses a dedicated work order processing software or platform (such as the Henan Electric Assistant APP) to view the user's low voltage work order information and accept the order; 2) Visits: During the process of handling by the substation manager, the substation manager will conduct customer visits, scan the QR code of low-voltage users to confirm their presence and register the contents of the visit, and complete the visit within 1 working day after receiving the order; 3) Governance response: The substation manager handles the low voltage situation through a dedicated work order processing software or platform. If the current situation is correct, the substation manager can handle it directly. After the handling is completed, it will be reviewed by the operation and maintenance professionals. If the review is passed, it will enter the customer return visit stage. If the review fails, it will be returned to the processing stage and the substation manager will make corrections and handle it; 4) If the district manager is unable to handle the current situation, he shall fill in the preliminary solution and submit it to the district and county company for review. After the review is passed, the operation and maintenance professionals will handle it (fill in the project information); if the review fails, it will be returned to the work order processing link; 5) After the work order is approved or processed by the operation and maintenance professionals, a return visit to the customer is required, and the area manager shall register the return visit information through the dedicated work order processing software or platform; 6) After the low-voltage user return visit is completed, the work order is archived; 7) If a low-voltage user that has been treated has a low-voltage anomaly again within 9 months (configurable), it is considered that the treatment has not been thorough. The original work order needs to be marked and the low-voltage user data needs to be pushed again for supervision. At the same time, a warning SMS is sent to the supervisor.

[0048] This embodiment provides a specific processing method that can reasonably and accurately handle low-voltage user work orders, which can further improve power supply stability and reliability, reduce the number of voltage-related complaints and repair work orders, improve power supply service quality, and improve customer satisfaction.

[0049] Corresponding to the method of the above embodiment, Figure 3 The structural block diagram of the low voltage risk early warning device for power grid users provided by the fifth embodiment of the present invention is shown. The early warning device is applied to a computer device, and the computer device is connected to the target database through a preset application program interface. When the target database is driven to execute the corresponding task, a corresponding task log will be generated, and the task log can be collected through the API. For the convenience of explanation, only the part related to the embodiment of the present invention is shown.

[0050] See also Figure 3 , the early warning device comprises: A voltage acquisition module 51 is used to continuously collect voltage values ​​of the user to be determined, and obtain a user voltage curve based on the voltage values ​​of the user to be determined for a preset time before the current moment; The warning condition setting module 52 is used to sample the voltage value on the user voltage curve at a set sampling interval to obtain a sampling value, set a preset number of voltage warning intervals and set different warning levels for different voltage warning intervals, and set a warning condition for each voltage warning interval based on the set sampling interval; The warning execution module 53 is used to determine whether the number of sampling values ​​falling into the current voltage warning interval meets the warning issuance conditions of the current voltage warning interval. If so, a low voltage warning of the warning level corresponding to the current voltage warning interval is issued. At the same time, if there are multiple low voltage warning levels, a low voltage warning of the highest warning level is directly issued instead.

[0051] Optionally, the voltage acquisition module 51 includes: The voltage curve acquisition unit is used to perform data cleaning and verification on the voltage value of the user to be judged that is collected for a preset time before the current moment, and then perform curve fitting to obtain the user voltage curve.

[0052] Optionally, the voltage curve acquisition unit includes: The data cleaning subunit is used to remove invalid readings caused by transformer failure or transmission error, and to remove negative voltage values ​​or voltage values ​​exceeding a preset acceptable voltage range, thereby completing the data cleaning.

[0053] Optionally, the voltage curve acquisition unit further includes: The data verification subunit is used to perform a second confirmation on the voltage value exceeding the preset normal voltage range to complete the verification.

[0054] Optionally, the warning condition setting module 52 includes: The warning issuing condition setting unit is used to set the warning issuing condition of the voltage warning interval to whether the number of the sampling values ​​falling into the voltage warning interval reaches a preset statistical threshold, and the preset statistical threshold is an integer and the value is inversely proportional to the set sampling interval.

[0055] Optionally, the warning condition setting module 52 further includes: The warning level setting unit is used to set the voltage warning interval so that the larger the median is, the lower the warning level corresponding to the voltage warning interval is.

[0056] Optionally, the early warning device further includes: The user voltage value limiting device is used to limit the user's home voltage value as the user's voltage value.

[0057] It should be noted that the information interaction, execution process and other contents between the above modules are based on the same concept as the embodiment of the method of the present invention. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0058] Figure 4 This is a schematic diagram of the structure of a computer device provided in Embodiment 6 of the present invention. Figure 4 As shown, the computer device of this embodiment includes: at least one processor ( Figure 4 Only one is shown), a memory, and a computer program stored in the memory and executable on at least one processor, wherein when the processor executes the computer program, the steps in any of the above-mentioned embodiments of the low voltage risk warning method for power grid users are implemented.

[0059] The computer device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that Figure 4 These are merely examples of computer devices and do not constitute limitations on the computer devices. The computer devices may include more or fewer components than those shown in the figure, or a combination of certain components, or different components. For example, they may also include a network interface, a display screen, and an input device.

[0060] The processor may be a CPU, or other general-purpose processors, 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, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0061] The memory includes a readable storage medium, an internal memory, etc., wherein the internal memory may be the memory of a computer device, and the internal memory provides an environment for the operation of the operating system and computer-readable instructions in the readable storage medium. The readable storage medium may be a hard disk of a computer device, and in other embodiments, it may also be an external storage device of the computer device, for example, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device. Further, the memory may also include both an internal storage unit of the computer device and an external storage device. The memory is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of a computer program, etc. The memory may also be used to temporarily store data that has been output or is to be output.

[0062] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention. The specific working process of the units and modules in the above-mentioned device can refer to the corresponding process in the above-mentioned method embodiment, which will not be repeated here. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned method embodiment can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device capable of carrying computer program code, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0063] The present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by a computer program product. When the computer program product runs on a computer device, the computer device can implement the steps in the above-mentioned method embodiment when executing.

[0064] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0065] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0066] In the embodiments provided by the present invention, it should be understood that the disclosed devices / computer equipment and methods can be implemented in other ways. For example, the device / computer equipment embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0067] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0068] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A low voltage risk early warning method for power grid users, characterized in that: The method comprises: Continuously collecting voltage values ​​of the user to be determined, and obtaining a user voltage curve based on the voltage values ​​of the user to be determined for a preset time before the current moment; Sampling the voltage value on the user voltage curve at a set sampling interval to obtain a sampling value, setting a preset number of voltage warning intervals and setting different warning levels for different voltage warning intervals, and setting a warning issuing condition for each voltage warning interval based on the set sampling interval; Determine whether the number of sampling values ​​falling into the current voltage warning interval meets the warning issuance conditions of the current voltage warning interval. If so, issue a low voltage warning of the warning level corresponding to the current voltage warning interval. At the same time, if there are multiple low voltage warnings of warning levels, directly change to issuing a low voltage warning of the highest warning level.

2. The low voltage risk early warning method for power grid users according to claim 1 is characterized in that: The obtaining of the user voltage curve comprises: The voltage value of the user to be judged that is collected and preset before the current moment is cleaned and verified, and then curve fitting is performed to obtain the user voltage curve.

3. The low voltage risk early warning method for power grid users according to claim 2 is characterized in that: The data cleaning includes eliminating invalid readings due to transformer failure or transmission error, and eliminating negative voltage values ​​or voltage values ​​exceeding a preset acceptable voltage range, thereby completing the data cleaning.

4. The low voltage risk early warning method for power grid users according to claim 2 is characterized in that: The verification includes performing a secondary confirmation on a voltage value exceeding a preset conventional voltage range to complete the verification.

5. The low voltage risk early warning method for power grid users according to claim 1, characterized in that: The step of setting the warning issuing condition for each voltage warning interval based on the set sampling interval includes: The warning issuance condition of the voltage warning interval is whether the number of the sampling values ​​falling into the voltage warning interval reaches a preset statistical threshold, and the preset statistical threshold is an integer and the value is inversely proportional to the set sampling interval.

6. The low voltage risk early warning method for power grid users according to claim 1 is characterized in that: The larger the median of the voltage warning interval is, the lower the warning level corresponding to the voltage warning interval is.

7. The low voltage risk early warning method for power grid users according to any one of claims 1 to 6, characterized in that: The user's household voltage value is used as the user's voltage value.

8. A low voltage risk early warning device for power grid users, characterized in that: The device comprises: A voltage acquisition module, used to continuously collect voltage values ​​of the user to be judged, and obtain a user voltage curve based on the voltage value of the user to be judged for a preset time before the current moment; An early warning condition setting module, used to sample the voltage value on the user voltage curve at a set sampling interval to obtain a sampling value, set a preset number of voltage early warning intervals and set different early warning levels for different voltage early warning intervals, and set an early warning condition for each voltage early warning interval based on the set sampling interval; The warning execution module is used to determine whether the number of sampling values ​​falling into the current voltage warning interval meets the warning issuance conditions of the current voltage warning interval. If so, a low voltage warning of the warning level corresponding to the current voltage warning interval is issued. At the same time, if there are low voltage warnings of multiple warning levels, a low voltage warning of the highest warning level is directly issued instead.

9. A computer device, characterized in that: The computer device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the low voltage risk early warning method for power grid users as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the low voltage risk early warning method for power grid users as described in any one of claims 1 to 7 is implemented.

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