Zhi lian box-type substation safety early warning method and system and storage medium

Abstract

The application relates to the technical field of transformer substations, in particular to a smart box-type transformer substation safety early warning method and system and a storage medium, which comprises the following steps: acquiring environment information and obtaining a first safety variable factor according to the environment information; acquiring operation information of each device in the smart box-type transformer substation and obtaining a second safety variable factor according to the operation information of each device; acquiring historical operation and maintenance information of the smart box-type transformer substation and obtaining a third safety variable factor according to the historical operation and maintenance information; obtaining a safety score result according to the first safety variable factor, the second safety variable factor and the third safety variable factor; and performing early warning according to whether the safety score result represents a safety risk. The application has the effect of early warning before a safety hidden danger occurs in the box-type transformer substation.

Description

Technical Field

[0001] This application relates to the technical field of substations, and in particular to a safety early warning method, system and storage medium for intelligent prefabricated substations. Background Technology

[0002] With the rapid development of my country's economy, the power sector has made continuous progress. More and more substations are shouldering huge workloads. They not only need to ensure the operation of transformers, but also to ensure the effective transmission of power from power plants to the areas where electricity is consumed. This is of vital importance to the entire power system.

[0003] Nowadays, in order to reduce the footprint required for substation operation and to improve the organic integration of various parts of the substation, more and more substations are adopting the form of prefabricated substations. These are complete sets of power distribution equipment that are organically combined with transformers, high-voltage switchgear, and low-voltage switchgear. Their working principle is as follows: the power station transmits high-voltage electricity to the high-voltage switchgear through cables, the high-voltage switchgear then transmits the high-voltage electricity to the transformer for transformation, and after being transformed into low-voltage electricity, it is transmitted to the low-voltage switchgear. Finally, the low-voltage switchgear transmits the low-voltage electricity to the load.

[0004] During the daily use of prefabricated substations, certain safety hazards may arise due to environmental factors and equipment failures. However, prefabricated substations in related technologies do not have safety early warning functions, so staff need to conduct regular patrols and maintenance. During regular patrols and maintenance, staff can only respond to and repair existing safety problems. If abnormalities occur in the prefabricated substation and are not repaired in time, they can cause significant safety hazards. Summary of the Invention

[0005] In order to provide early warning before safety hazards occur in prefabricated substations, this application provides a safety early warning method, system and storage medium for intelligent prefabricated substations.

[0006] Firstly, this application provides a safety early warning method for an intelligent prefabricated substation, which adopts the following technical solution:

[0007] A safety early warning method for intelligent prefabricated substations includes the following methods:

[0008] Obtain environmental information and derive a first safety variable factor based on the environmental information, wherein the environmental information includes the internal temperature of the chamber, the external temperature of the chamber, the relative humidity, the weather conditions, and the time;

[0009] Obtain the operating information of each device in the intelligent prefabricated substation, and obtain the second safety variable factor based on the operating information of each device, wherein the operating information of each device includes the real-time operating information and parameter information of each device;

[0010] Obtain historical operation and maintenance information of the intelligent prefabricated substation, and obtain a third safety variable factor based on the historical operation and maintenance information. The historical operation and maintenance information includes the historical maintenance records of each device in the intelligent prefabricated substation and the total operating time of each device.

[0011] The safety score is obtained based on the first safety variable factor, the second safety variable factor, and the third safety variable factor.

[0012] Early warning will be issued based on whether the security score indicates a security risk.

[0013] In some embodiments, obtaining environmental information and deriving a first safety variable factor based on the environmental information includes:

[0014] Each of the environmental information items is compared with its corresponding preset limit parameter to obtain several first operational differences.

[0015] Obtain the first safety variable factor that matches several of the first operational differences from the scoring library;

[0016] The first safety variable factor is obtained by summing several first safety variable sub-factors.

[0017] In some embodiments, the preset limit parameters include an upper limit parameter and a lower limit parameter. Calculating the difference between each piece of environmental information and its corresponding preset limit parameter to obtain a first operational difference further includes:

[0018] Calculate the intermediate value between the upper limit parameter and the lower limit parameter;

[0019] Determine in turn whether each of the environmental information values ​​is greater than the intermediate value;

[0020] If the environmental information is greater than the intermediate value, then the difference between the environmental information and the upper limit parameter is calculated to obtain the first operational difference.

[0021] If the environmental information is less than or equal to the intermediate value, then the difference between the environmental information and the lower limit parameter is calculated to obtain the first operational difference.

[0022] In some embodiments, obtaining the operating information of each device within the intelligent prefabricated substation and deriving a second safety variable factor based on the operating information of each device includes:

[0023] Obtain parameter information of each device within the intelligent substation;

[0024] The standard operating range of each device is obtained based on the parameter information of each device, wherein the standard operating range includes several intervals;

[0025] The scoring library is used to assign values ​​to several intervals;

[0026] Obtain real-time operating information for each device;

[0027] Determine the location of the real-time operating information of each device within the specified operating range, and determine the second safety variable factor based on the assigned value of the range in which the real-time operating information of each device is located.

[0028] In some embodiments, obtaining historical operation and maintenance information of the intelligent prefabricated substation and deriving a third safety variable factor based on the historical operation and maintenance information includes:

[0029] Based on the historical maintenance records of each device, a matching first potential score is obtained from the scoring database;

[0030] A matching second potential score is obtained from the scoring library based on the total operating time of each device;

[0031] The third safety variable factor is calculated based on the first and second potential scores.

[0032] In some embodiments, the processing terminal obtains a security score result based on the first security variable factor, the second security variable factor, and the third security variable factor, including:

[0033] The individual safety score of the equipment is calculated based on the first safety variable factor, the second safety variable factor and the third safety variable factor. The individual safety score of the equipment is characterized by the first safety variable factor, the second safety variable factor and the third safety variable factor associated with each independent device of the intelligent box-type substation.

[0034] Determine whether the individual safety score of the device is greater than the individual limit score value of the device;

[0035] If the value is greater than the value, then the safety score result corresponding to the single safety score of the device is considered to have a safety risk.

[0036] If the value is not greater than the value, then the safety score result corresponding to the single safety score of the device is that there is no safety risk.

[0037] In some embodiments, if the individual safety score of the device is not greater than the individual limit score value of the device, the method further includes:

[0038] The overall safety score of the equipment is calculated based on the individual safety scores of the equipment. The overall safety score of the equipment is represented as the sum of the first safety variable factor, the second safety variable factor, and the third safety variable factor associated with each independent device in the intelligent prefabricated substation.

[0039] Determine whether the total safety score of the equipment, plus the hidden bonus, is greater than the maximum score value of the total equipment score.

[0040] If the value is greater than the given value, then the safety score result corresponding to the total safety score of the equipment is considered to have a safety risk.

[0041] If the value is not greater than the value, then the safety score result corresponding to the total safety score of the equipment is that there is no safety risk.

[0042] In some embodiments, if both the device's individual safety score and the device's overall safety score are less than a preset limit score, trend monitoring is performed, including:

[0043] The second safety variable factors in the current intelligent box-type substation are collected along the same time period within a preset time period, and the several second safety variable factors are connected to obtain a trend line.

[0044] Get the current environmental information;

[0045] Based on the environmental information, historical trend lines are obtained from the historical record database when there are at least three identical features to the current environmental information. The historical record database contains several historical trend line information, and each point on the several historical trend lines corresponds to environmental information.

[0046] Obtain the corresponding time and historical operation and maintenance information for the historical trend line;

[0047] Calculate the difference between the current time and the corresponding time of the historical trend line, and the difference between the current operation and maintenance information and the historical operation and maintenance information, and obtain the loss increment based on the two differences;

[0048] Determine whether the overlap between the current trend line, after adding the loss increment, and several historical trend lines is greater than a preset overlap.

[0049] If the value is greater than the historical trend line, then these historical trend lines will be used as the trend monitoring standard, and the existence of safety risks will be determined based on the historical trend lines within the trend monitoring standard.

[0050] Secondly, this application provides a safety early warning system for intelligent prefabricated substations, which adopts the following technical solution:

[0051] A safety early warning system for an intelligent prefabricated substation includes a processing terminal. The processing terminal is used to acquire environmental information and obtain a first safety variable factor based on the environmental information; acquire the operating information of each device in the intelligent prefabricated substation and obtain a second safety variable factor based on the operating information of each device; acquire the historical operation and maintenance information of the intelligent prefabricated substation and obtain a third safety variable factor based on the historical operation and maintenance information; obtain a safety score result based on the first safety variable factor, the second safety variable factor, and the third safety variable factor; and issue an early warning based on the safety score result.

[0052] Thirdly, this application provides a computer storage medium, which adopts the following technical solution:

[0053] A computer storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the safety early warning method for the intelligent prefabricated substation described in any one of the above-mentioned methods.

[0054] In summary, this application includes at least the following beneficial technical effects:

[0055] The first safety variable factor is obtained based on environmental information. The second safety variable factor is obtained based on the operating information of each device in the prefabricated substation. The third safety variable factor is obtained based on the historical operation and maintenance information of each device. Finally, the first, second, and third safety variable factors are added together to obtain the safety score result. The value of the safety score result is used to determine whether the prefabricated substation has safety risks during operation and to issue an early warning. Attached Figure Description

[0056] Figure 1 This is a schematic diagram of the overall process of an embodiment of this application;

[0057] Figure 2 This is a schematic diagram of the process for obtaining the first security variable factor in an embodiment of this application;

[0058] Figure 3 This is a flowchart illustrating the process of determining the second safety variable factor in an embodiment of this application;

[0059] Figure 4 This is a flowchart illustrating the process of determining the third security variable factor in an embodiment of this application;

[0060] Figure 5 This is a schematic diagram of the process for determining whether there is a safety risk through a single safety score of the device in this application embodiment;

[0061] Figure 6 This is a flowchart illustrating the process of determining whether there is a safety risk through the overall safety score of the equipment in this application embodiment;

[0062] Figure 7 This is a schematic diagram of the trend monitoring process in the embodiments of this application. Detailed Implementation

[0063] To better understand the purpose, technical solutions, and advantages of this application, it has been described and illustrated below with reference to the accompanying drawings and embodiments. However, those skilled in the art should understand that this application can be implemented without these details. In some cases, to avoid obscuring various aspects of this application due to unnecessary description, well-known methods, processes, systems, components, and / or circuits already described at a higher level will not be elaborated upon. It will be apparent to those skilled in the art that various modifications can be made to the embodiments disclosed in this application, and the general principles defined in this application can be applied to other embodiments and application scenarios without departing from the principles and scope of this application. Therefore, this application is not limited to the illustrated embodiments, but conforms to the broadest scope consistent with the scope of protection claimed in this application.

[0064] Unless otherwise defined, the technical or scientific terms used in this application should have the general meaning understood by one of ordinary skill in the art to which this application pertains. The terminology used in this application is for the purpose of describing specific embodiments only and is not intended to limit the application. Words such as “a,” “an,” “an,” “the,” “the,” and “these,” as used in this application, do not indicate quantitative limitations and can be singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or modules (units) but may include steps or modules (units) not listed, or may include other steps or modules (units) inherent to these processes, methods, products, or devices.

[0065] In this application, "multiple" refers to two or more. Typically, the character " / " indicates that the objects before and after it are in an "or" relationship. The terms "first," "second," "third," etc., used in this application are merely for distinguishing similar objects and do not represent a specific order of the objects.

[0066] The terms "system," "engine," "unit," "module," and / or "block" used in this application are a method of distinguishing different components, elements, parts, components, assemblies, or functions at different levels. These terms may be replaced by other expressions that achieve the same purpose. Generally, "module," "unit," or "block" as used in this application refers to a collection of logical or software instructions embodied in hardware or firmware. The "modules," "units," or "blocks" described in this application can be implemented as software and / or hardware, and in the case of a software implementation, they can be stored in any type of non-volatile computer-readable storage medium or storage device.

[0067] In some embodiments, software modules / units / blocks may be compiled and linked into an executable program. It will be appreciated that software modules may be invoked from other modules / units / blocks or from themselves, and / or may be invoked in response to a detected event or interrupt. Software modules / units / blocks configured to execute on a computing device may be located on a computer-readable storage medium, such as an optical disc, digital video disc, flash drive, magnetic disk, or any other tangible media, or as a digital download (and may be initially stored in a compressed or installable format that requires installation, decompression, or decryption prior to execution). Such software code may be stored, partially or wholly, on the storage device of the executing computing device and applied to the operation of the computing device. Software instructions may be embedded in firmware, such as an EPROM. It will also be appreciated that hardware modules / units / blocks may be included in connected logical components, such as gates and flip-flops, and / or may be included in programmable units, such as programmable gate arrays or processors. The modules / units / blocks or computing device functions described herein may be implemented as software modules / units / blocks, and may also be represented in hardware or firmware. Typically, the modules / units / blocks described in this document can be combined with other modules / units / blocks, or, although they are physically organized or stored, can be divided into sub-modules / sub-units / sub-blocks. This description can apply to a system, an engine, or a part thereof.

[0068] It will be understood that when a unit, engine, module, or block is referred to as being "on," "connected," or "coupled to" another unit, engine, module, or block, it may be directly on, connected to, coupled to, or communicate with the other unit, engine, module, or block, or there may be an intermediate unit, engine, module, or block, unless the context clearly indicates otherwise. In this application, the term "and / or" may include any one or more of the relevant listed items or a combination thereof.

[0069] The following is in conjunction with the appendix Figure 1-7 This application will be described in further detail.

[0070] This application discloses a safety early warning method for intelligent prefabricated substations.

[0071] like Figure 1 As shown, a safety early warning method for an intelligent prefabricated substation includes:

[0072] S100: Obtain environmental information and derive the first safety variable factor based on the environmental information.

[0073] The environmental information includes the internal temperature, external temperature, relative humidity, weather conditions, and time. The internal temperature refers to the temperature inside the prefabricated substation, the external temperature refers to the temperature outside the prefabricated substation, the relative humidity refers to the relative humidity in the air around the prefabricated substation, the weather conditions refer to whether the weather on that day is thunderstorm, strong wind, or similar conditions, and the time refers to the real-time time.

[0074] The external temperature is mainly due to the ambient temperature caused by sunlight, while the internal temperature is mainly due to the heat generated by the equipment inside the prefabricated substation during operation. Excessive external temperature can also cause the internal temperature to rise. Overheating can disrupt the normal operation of high and low voltage equipment and components within the prefabricated substation, and may even cause high and low voltage switchgear to trip due to overheating. Temperature can be collected using temperature sensors.

[0075] Relative humidity is mainly related to geographical climate and temperature. For example, in my country, humidity varies across different regions. At similar temperatures, some southern areas experience higher rainfall, resulting in higher water vapor content in the air and thus higher relative humidity compared to the north. Furthermore, the air's ability to absorb moisture changes with temperature. High humidity environments can reduce the insulation of electrical automation equipment and make it more prone to rust and malfunctions. Relative humidity can be collected using humidity sensors.

[0076] Weather conditions can also pose safety hazards to prefabricated substations. For example, in cold and windy winter weather, safety accidents such as pole collapse and wire breakage are prone to occur; snowy weather can easily cause insulation flashover faults; heavy rain can cause insulation to become damp and directly grounded; thunderstorms can make lines susceptible to lightning strikes, causing insulation flashover, wire breakage, surge arrester explosion, transformer burnout, and line faults, etc. Weather conditions can be obtained by connecting with weather stations or meteorological monitoring instruments to obtain daily weather conditions.

[0077] The time is obtained in real time by the time module inside the prefabricated substation. Because the electricity consumption of citizens is higher at night, the load will also increase accordingly, while the electricity consumption is lower in the morning, and the load will decrease accordingly. The load has a certain impact on the safety of the prefabricated substation.

[0078] All of the above environmental information will have a certain impact on the various equipment in the prefabricated substation, and these impacts will pose potential risks to the safe operation of the equipment, such as excessive voltage leading to fire, reduced insulation capacity leading to a high probability of electric shock, etc.

[0079] like Figure 2 As shown, obtaining the first safety variable factor specifically includes the following steps:

[0080] S110, calculate the difference between each environmental information and its corresponding preset limit parameter to obtain the first operational difference.

[0081] The preset limit parameters refer to the highest environmental reference values ​​that the prefabricated substation can receive under extreme conditions. If these limit parameters are exceeded, a safety accident is highly likely to occur.

[0082] For example, the ideal ambient temperature for a prefabricated substation is between 25℃ and 40℃. Therefore, when the ambient temperature exceeds 40℃, there is a high probability that the normal operation of the prefabricated substation will be affected, and safety accidents may easily occur. Thus, the limit parameter for the external temperature is preset to 40℃. However, after monitoring, the current external temperature is 28℃. Therefore, the difference of 12℃ obtained by subtracting 28℃ from 40℃ is used as the first calculation difference.

[0083] It should be noted that during normal use and testing, although the ambient temperature is a fixed value, the temperature near the enclosure of the prefabricated substation will be higher than the ambient temperature because the enclosure is exposed to sunlight. Therefore, the temperature sensor detects the temperature around the enclosure of the prefabricated substation.

[0084] The method for calculating the temperature difference inside the chamber is the same as the method described above. However, since the temperature inside the chamber is affected not only by the temperature outside the chamber but also by the heat generated by the operation of the equipment inside the chamber, the limiting parameter is higher than the limiting parameter of the temperature outside the chamber.

[0085] The method for calculating the difference in relative humidity is the same as the method described above.

[0086] In the process of calculating weather conditions, the limit parameters cannot be set using specific values. Instead, a predetermined ideal weather condition is used as a reference value, and this predetermined ideal weather condition is parameterized. For example, a sunny day with suitable sunshine is used as the limit parameter. If it snows, the parameter represented by snow will be larger than the limit parameter of a sunny day. The size of this difference depends on the amount of snow. For example, the difference will increase with the snowfall, such as light snow, moderate snow, heavy snow, blizzard, and subsequent warnings of various colors.

[0087] Regarding time, since users' electricity consumption varies at different times, a median value is selected based on past electricity consumption records. The time of this median value is then parameterized as a limiting parameter. Since electricity consumption changes similarly for most of the time, the difference can be obtained by directly subtracting the time represented by the limiting parameter from the score represented by the time value. For example, if the electricity consumption at noon is the median value and the time of noon is parameterized, and if the electricity consumption is higher at 7 pm, then subtracting noon from 7 pm gives a difference of 7 hours.

[0088] S120, retrieve the first safety variable factor that matches several first operation interpolations from the scoring library.

[0089] The scoring database stores several scores that match the first operational difference. These scores represent the values ​​of the first safety variable sub-factors. For example, if the temperature difference is +10℃ (the measured outside temperature is 18℃, the limit parameter specifies a temperature of 28℃, 28-18=10), then the scoring database will retrieve the first safety variable sub-factor that matches the outside temperature of +10℃.

[0090] For example, in a snowy day, if a parameter representing a sunny day, such as 10 points, is subtracted from the score representing a snowy day, such as 6 points, the difference of 4 points is obtained. Then, the first safety variable factor that matches 4 points is retrieved from the scoring database.

[0091] The numerical setting of the first safety variable sub-factor can be optimized and modified through daily operation.

[0092] S130, the first safety variable factor is obtained by adding together several first safety variable sub-factors.

[0093] After performing interpolation on the various information in the environmental information, several first safety variable sub-factors are obtained. Finally, the several first safety variable sub-factors are added together to obtain the first safety variable factor.

[0094] For example, the current environmental information is: outside temperature 27℃, inside temperature 50℃, relative humidity 80%, sunny, 5 PM. The preset limit parameters are: outside temperature 30℃, inside temperature 40℃, relative humidity 90%, sunny, 12 PM. Difference calculations are performed: +3℃ (outside temperature), -10℃ (inside temperature), +10% (relative humidity), 0 (weather conditions), -5 hours (time). The corresponding first safety variable factors for these first calculated differences are: 0 (outside temperature), 10 (inside temperature), 5 (relative humidity), 0 (weather conditions), 5 (time). Adding these first safety variable factors gives the first safety variable factor value: 15. It should be noted that when there are values ​​in the environmental information that do not exceed the limit parameters, the corresponding first safety variable factor can be 0, or the first safety variable factor can be set according to the magnitude of the difference. For example, if the difference is significantly lower than the limit parameter, it is 0; if the difference is relatively small, a certain first safety variable factor is set.

[0095] In another embodiment, to improve the accuracy of the value of the first safety variable factor, the preset limit parameters include an upper limit parameter and a lower limit parameter. The method of calculating the difference between each environmental information and its corresponding preset limit parameter to obtain the first operational difference also includes the following steps:

[0096] S111 calculates the intermediate value between the upper limit parameter and the lower limit parameter.

[0097] S112, sequentially determine whether each environmental information is greater than the median value.

[0098] S113, If the environmental information is greater than the intermediate value, then the difference between the environmental information and the upper limit parameter is calculated to obtain the first operation difference.

[0099] S114, If the environmental information is less than the intermediate value, then the difference between the environmental information and the lower limit parameter is calculated to obtain the first operation difference.

[0100] When setting limiting parameters, such as temperature, the ideal temperature outside the box-type substation during normal operation is 25℃-40℃. If only one value is selected as the limiting parameter, such as 40℃, the difference between the actual temperature and 40℃ may be very large. Therefore, an intermediate temperature value is selected as the consideration parameter.

[0101] If the midpoint between 25℃ and 40℃ is 32.5℃, and the current outside temperature is 34℃, then if the temperature is greater than 32.5℃, 40℃ will be used as the limiting parameter to reduce the error value.

[0102] S200 acquires the operating information of each device in the intelligent prefabricated substation and obtains the second safety variable factor based on the operating information.

[0103] like Figure 1 and Figure 3 As shown, the operating information of each device includes real-time operating information and parameter information of each device, such as real-time operating information and parameter information of high-voltage switchgear, real-time operating information and parameter information of low-voltage switchgear, parameter information and real-time operating information of switchgear, parameter information of transmission lines, etc.

[0104] Parameter information refers to the initial parameter information set for a device when it leaves the factory and is installed, such as rated power, rated voltage, etc. Parameter information varies depending on the model and manufacturing process of a device and is unique.

[0105] Real-time operating information refers to the real-time parameter changes of a device during operation, such as real-time voltage, real-time current, real-time power, and real-time load.

[0106] Specifically, the following steps are included:

[0107] S210: Obtain parameter information of each device in the intelligent prefabricated substation.

[0108] S220 obtains the corresponding standard operating range of each device based on the parameter information of each device. The standard operating range includes several intervals.

[0109] Each piece of equipment has its own standard operating range. If the equipment operates above or below this range, there is a risk of damage, which could potentially lead to a major safety accident.

[0110] This range is divided into several intervals, each of the same size. The position of each interval determines whether it is closer to the minimum or maximum value.

[0111] S230 assigns values ​​to several intervals using a scoring library.

[0112] Each interval is assigned a value, and the value is selected based on its specific position. For example, the closer it is to the maximum value of the standard operating range, the larger the score of the interval; the closer it is to the minimum value of the standard operating range, the larger the score of the interval; and the closer it is to the middle position, the smaller the score.

[0113] Furthermore, different values ​​can be assigned based on the degree of safety hazard when approaching the maximum and minimum values. For example, the closer to the maximum value, the easier it is for a safety accident to occur. When approaching the minimum value, a safety accident is also likely to occur, but the degree of danger is less than when approaching the maximum value. Therefore, the value assigned to the interval approaching the minimum value can be slightly less than the value assigned when approaching the maximum value.

[0114] S240 obtains real-time operating information for each device.

[0115] S250, determine the location of each device's real-time operating information within the specified operating range, and determine the second safety variable factor based on the assigned value of the range in which each device's real-time operating information is located.

[0116] Place the real-time operating information of each device into the standard operating range, see which interval the real-time operating information falls into, and determine the value of the second safety variable factor based on the value assigned to the interval it falls into.

[0117] This is used to determine the second safety variable factor for all equipment within the prefabricated substation.

[0118] S300 obtains historical operation and maintenance information of intelligent prefabricated substations and obtains the third safety variable factor based on the historical operation and maintenance information.

[0119] like Figure 1 and Figure 4 As shown, historical operation and maintenance information includes historical maintenance records of each device in the intelligent prefabricated substation, and the total operating time of each device.

[0120] Historical maintenance records should include at least the number of repairs, repair times, and fault information for the equipment. Total operating time represents the total operating time of the equipment from its factory installation and commissioning to the present.

[0121] Specifically, the following steps are included:

[0122] S310 retrieves the first potential score that matches each device from the scoring database based on the historical maintenance records of each device.

[0123] The device's initial potential rating is determined by analyzing its historical maintenance history, including the number of maintenance visits, the dates of those visits, and the specific faults recorded in its historical fault information.

[0124] For example, the high-voltage switchgear underwent three repairs, in April 2018, July 2018, and June 2019, respectively, resulting in disconnection switch failure, overvoltage, and malfunction of the five-prevention interlocking system. When assessing the first potential score, higher scores are awarded for more repairs, shorter intervals between failures, and greater severity of the failures. This is because more repairs indicate a greater potential for equipment failure; shorter intervals suggest a higher likelihood of failure; and greater severity indicates a higher risk of failure in critical components and parts with significant safety impacts.

[0125] Operators can customize the scoring method and score of the first potential rating by analyzing the faults that occurred during the historical operation of the prefabricated substation and the subsequent recurring faults.

[0126] S320 retrieves a matching second potential score from the scoring library based on the total operating time of each device.

[0127] The longer a device operates, the greater the likelihood of safety hazards arising from its own aging and conditions such as rust. A second potential score is obtained from the scoring database based on the total operating time of each device; the longer the total operating time, the higher the second potential score.

[0128] S330, calculate the third safety variable factor based on the first potential score and the second potential score.

[0129] The final third safety variable factor is obtained by adding the first potential score and the second potential score. After addition, if a piece of equipment has few maintenance and failures but a long total operating time, its third variable factor will be relatively high. This is because a long total operating time increases the possibility of safety accidents caused by equipment failure due to aging. On the other hand, if a piece of equipment is newly introduced but has experienced multiple failures and required multiple repairs in just six months, it indicates that the equipment has a tendency to fail frequently, and its third variable factor will also be relatively high.

[0130] In another embodiment, the first potential score and the second potential score can be weighted. Since frequent equipment malfunctions indicate a significant safety hazard, while a long total operating time without failure suggests a high safety threshold, the first potential score can be given a larger weight, while the second potential score can be given a smaller weight. A higher weight indicates a greater influence.

[0131] S400, the safety score result is obtained based on the first safety variable factor, the second safety variable factor and the third safety variable factor.

[0132] like Figure 1 and Figure 5 As shown, the safety score is obtained by adding the first safety variable factor, the second safety variable factor, and the third safety variable factor together, specifically including the following steps:

[0133] S410 calculates the individual safety score of the equipment based on the first safety variable factor, the second safety variable factor, and the third safety variable factor.

[0134] The individual safety score is characterized by the first safety variable factor, the second safety variable factor, and the third safety variable factor associated with each independent device within the intelligent prefabricated substation.

[0135] For example, the first safety variable factor of the high-voltage switchgear is a single safety score, the second safety variable factor of the high-voltage switchgear itself is a single safety score, and the third safety variable factor of the high-voltage switchgear itself is a single safety score. Each safety variable factor is represented as a single safety score.

[0136] S420, determine whether the individual safety score of the equipment is greater than the individual limit score value of the equipment.

[0137] If S430 is greater than 1, then the safety score result corresponding to the single safety score of the equipment is considered to have a safety risk.

[0138] If S440 is not greater than 1, then the safety score result corresponding to the single safety score of the equipment is that there is no safety risk.

[0139] The individual safety score is compared with the preset individual equipment limit score. Among the individual equipment limit scores, the first safety variable factor, the second safety variable factor, and the third safety variable factor each have their own individual equipment limit score.

[0140] It is necessary to compare the individual safety scores of a device with its first, second, and third safety variable factors one by one. If any one of these individual safety scores exceeds the device's limit score, the safety score result is considered to indicate a safety risk.

[0141] like Figure 1 and Figure 6 As shown, if none of the values ​​are greater than the individual limit score of the equipment, the safety score result is that there is no safety risk.

[0142] This allows for the independent isolation of the security risk assessment process, improving accuracy and relevance.

[0143] If the individual safety score of the equipment is not greater than the individual limit score value of the equipment, the following steps are also included:

[0144] S441, calculate the overall safety score of the equipment based on the individual safety scores of the equipment.

[0145] The overall safety score of the equipment is represented by the sum of the first safety variable factor, the second safety variable factor, and the third safety variable factor associated with each independent piece of equipment in the intelligent prefabricated substation.

[0146] For example, the overall safety score of a high-voltage switchgear is the sum of the first safety variable factor, the second safety variable factor, and the third safety variable factor associated with the high-voltage switchgear.

[0147] S442, determine whether the total safety score of the equipment plus the hidden bonus score is greater than the limit score of the total equipment score.

[0148] Sometimes, when the first, second, and third safety variable factors are added together, the environmental information and historical maintenance records may be good, but the equipment's trial operation information shows anomalies. In this case, because the values ​​of the first and third safety variable factors are small, even if the second safety variable factor is added, the value will not be very large. However, the anomalies in the real-time operation information have a significant impact on safety hazards. In order to make the final result somewhat calculable, it is necessary to add hidden bonus points and then determine whether it exceeds the equipment's total limit score value.

[0149] In another scenario, the temperature is not higher than the preset temperature, but very close; the humidity is also very close; the real-time operating information does not exceed the load limit, but is also very close; and the number of historical repairs is not very high, but there are a few repair records. In this case, simply adding the first, second, and third safety variable factors may not result in a score exceeding the equipment's total limit score, but there are still certain safety hazards. In this case, it is necessary to add a hidden score to compensate for the error values ​​inherent in the three individual items.

[0150] S443, if greater than, then the safety score result corresponding to the overall safety score of the equipment is that it has a safety risk.

[0151] If S444 is not greater than 1, then the safety score result corresponding to the overall safety score of the equipment is that there is no safety risk.

[0152] This integrates individual safety scores for equipment, so that when no single safety score reaches its limit, multiple factors can be combined to determine whether the combined factors have an impact on safety hazards, thus improving the accuracy of early warning.

[0153] S500 provides early warnings based on whether the safety score indicates a safety risk.

[0154] like Figure 7 As shown, in another embodiment, to further improve the early warning effect, if both the individual safety score and the overall safety score of the device are less than a preset limit score value, trend monitoring is performed. Trend monitoring includes:

[0155] S600 collects the second safety variable factors in the current intelligent box-type substation along the same time period within a preset time, and connects several second safety variable factors to obtain a trend line.

[0156] The preset time can be four hours prior to the current time. For example, if the current time is 4 PM, the preset time is the period from 12 PM to 4 PM. Within the same time period, the second safety variable factor can be collected every 5 minutes. Therefore, a total of 48 second safety variable factors can be collected within four hours, and these points can be connected to obtain a continuous trend line.

[0157] Trend lines can be drawn and saved in a two-dimensional graph where the x-axis represents time and the y-axis represents the value of the second safety factor.

[0158] S610, obtains environmental information for the current time.

[0159] S620, based on environmental information, retrieve historical trend lines from the historical record database that share at least three identical characteristics with the current environmental information.

[0160] The historical record database contains several historical trend lines, and each point on these trend lines corresponds to environmental information. Based on the current environmental information, at least three historical trend lines with identical characteristics are found. For example, if the current outside temperature is 28℃, the inside temperature is 45℃, the relative humidity is 85%, the time is 1 PM, and it's drizzling, then at least three historical trend lines with the same characteristics are found in the historical record database. These could be: a historical trend line with an outside temperature of 28℃, an inside temperature of 45℃, and a relative humidity of 85%; or a historical trend line with an inside temperature of 45℃, a relative humidity of 85%, and the time is 1 PM; or a historical trend line with an outside temperature of 28℃, a relative humidity of 85%, and drizzling.

[0161] S630, obtains the time and historical operation and maintenance information corresponding to the historical trend line.

[0162] After obtaining several historical trend lines, retrieve the corresponding time and historical operation and maintenance information. Each point on the historical trend line represents a time and a piece of historical operation and maintenance information.

[0163] S640 calculates the difference between the current time and the corresponding time of the historical trend line, and the difference between the current operation and maintenance information and the historical operation and maintenance information, and obtains the loss increment based on the two differences.

[0164] If the current time is May 2022, and the historical trend line found corresponds to June 2020, then the difference is 1 year and 11 months. If another historical trend line found corresponds to May 2021, then the difference is 1 year.

[0165] For example, in the historical trend line for June 2020, the equipment was repaired once, while in the current May 2022, the equipment was repaired three times, so the difference is 2 times. Another historical trend line corresponds to May 2021, where the equipment was repaired twice, so the difference is 1 time.

[0166] The loss increment is determined based on this difference. The specific determination rule can be adjusted according to actual use. The larger the difference, the larger the loss increment.

[0167] S650 determines whether the degree of overlap between the current trend line, after adding the loss increment, and several historical trend lines is greater than the preset overlap degree.

[0168] The increase in loss represents the increased likelihood of machine malfunctions leading to safety accidents as time and maintenance frequency increase. Therefore, this increase in the probability of malfunctions due to increased operating time, i.e., the increase in loss, needs to be added to the current trend line to improve the accuracy of trend monitoring.

[0169] When the current time trend line is added to the incremental loss caused by the increase in time and number of failures, a current time comparison line can be obtained. This line is compared with the historical trend lines that have the same characteristics in at least three environmental information, and it is seen whether the two lines overlap and whether the degree of overlap is greater than the preset degree of overlap.

[0170] If S660 is greater than 1, these historical trend lines will be used as trend monitoring standards, and the existence of safety risks will be determined based on the historical trend lines within the trend monitoring standards.

[0171] If the overlap between the current trend line and the historical trend line after adding the loss increment is greater than the preset overlap, it means that the development trajectory of the current trend line after adding the loss increment is highly consistent with the trajectory of the historical trend line. In other words, when the environmental information factors in the historical trend line and the current trend line are highly consistent, the development trend of the historical trend line, that is, the amplitude change, can provide a certain degree of reference and prediction for the development trend of the current trend line. The premise of prediction and reference is to add the equipment loss (loss increment) over a period of time in the past when making the judgment.

[0172] The overlap ratio can be adjusted according to the actual situation. By default, a high overlap ratio is defined as when the number of overlapping points is greater than or equal to 60% of all points.

[0173] In another embodiment, a safety early warning system for an intelligent prefabricated substation is disclosed, including a control terminal. The control terminal is used to acquire environmental information and obtain a first safety variable factor based on the environmental information; acquire the operating information of each device within the intelligent prefabricated substation and obtain a second safety variable factor based on the operating information of each device; acquire historical operation and maintenance information of the intelligent prefabricated substation and obtain a third safety variable factor based on the historical operation and maintenance information; obtain a safety score result based on the first, second, and third safety variable factors, and issue an early warning based on the safety score result.

[0174] The control terminal is also used to store and retrieve the first safety variable factor, the second safety variable factor, and the third safety variable factor.

[0175] The control terminal includes a scoring database and a historical record database.

[0176] In another embodiment, a computer storage medium is disclosed, on which a computer program is stored, which, when executed by a processor, implements the safety early warning method for any one of claims 1 to 8 for intelligent prefabricated substations.

[0177] The implementation principle is as follows:

[0178] The first safety variable factor is obtained based on environmental information. The second safety variable factor is obtained based on the operating information of each device in the prefabricated substation. The third safety variable factor is obtained based on the historical operation and maintenance information of each device. Finally, the first, second, and third safety variable factors are added together to obtain the safety score result. The value of the safety score result is used to determine whether the prefabricated substation has safety risks during operation and to issue an early warning.

[0179] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A safety warning method for a smart substation, characterized in that, The method comprises the following steps: obtaining environment information, and obtaining a first safety variable factor according to the environment information, wherein the environment information comprises an indoor temperature, an outdoor temperature, a relative humidity, a weather state, and a time, obtaining operation information of each device in the intelligent box-type substation, and obtaining a second safety variable factor according to the operation information of each device, wherein the operation information of each device comprises real-time operation information and parameter information of each device, obtaining historical operation and maintenance information of the intelligent box-type substation, and obtaining a third safety variable factor according to the historical operation and maintenance information, wherein the historical operation and maintenance information comprises historical maintenance records of each device in the intelligent box-type substation and total operation time of each device, obtaining a safety score result according to the first safety variable factor, the second safety variable factor, and the third safety variable factor, determining whether the safety score result represents a safety risk to give a warning, obtaining a safety score result according to the first safety variable factor, the second safety variable factor, and the third safety variable factor comprises: calculating a device single safety score according to the first safety variable factor, the second safety variable factor, and the third safety variable factor, wherein the device single safety score represents the first safety variable factor, the second safety variable factor, and the third safety variable factor associated with each independent device in the intelligent box-type substation, determining whether the device single safety score is greater than a device single limit score value, if yes, the safety score result corresponding to the device single safety score represents a safety risk, if no, the safety score result corresponding to the device single safety score represents no safety risk, if the device single safety score is not greater than the device single limit score value, further comprising: calculating a device total safety score according to the device single safety score, wherein the device total safety score represents a sum of the first safety variable factor, the second safety variable factor, and the third safety variable factor associated with each independent device in the intelligent box-type substation, determining whether the device total safety score plus a hidden score is greater than a device total limit score value, if yes, the safety score result corresponding to the device total safety score represents a safety risk, if no, the safety score result corresponding to the device total safety score represents no safety risk, if both the device single safety score and the device total safety score are less than a preset limit score value, performing trend monitoring, wherein the trend monitoring comprises: collecting second safety variable factors in the intelligent box-type substation along the same time period within a preset time, and connecting the second safety variable factors to obtain a trend line, obtaining environment information of a current time, obtaining a historical trend line with at least three same characteristics as the current environment information from a historical record database, wherein the historical record database comprises a plurality of historical trend line information, and each point on the plurality of historical trend lines corresponds to environment information, obtaining time corresponding to the historical trend line and historical operation and maintenance information, and calculate a difference between the current time and a time corresponding to the historical trend line and a difference between operation and maintenance information of the current time and historical operation and maintenance information, and obtain a loss increment according to the two differences, determine whether a trend line of the current time plus the loss increment has a coincidence degree greater than a preset coincidence degree with a plurality of historical trend lines, if greater, use the historical trend lines as a trend monitoring standard, and determine whether there is a security risk according to the historical trend lines in the trend monitoring standard.

2. The safety warning method of the intelligent combined box-type substation according to claim 1, characterized in that: obtaining the first security variable factor according to the environment information comprises: calculating a difference between each of the environment information and a preset limit parameter corresponding thereto to obtain a plurality of first operation differences; obtaining a first security variable score factor matched with the plurality of first operation differences in the scoring library; adding the plurality of first security variable score factors to obtain the first security variable factor.

3. The safety warning method of the intelligent combined box-type substation according to claim 2, characterized in that: The preset limit parameter includes an upper limit parameter and a lower limit parameter, and calculating a difference between each of the environment information and a preset limit parameter corresponding thereto to obtain a first operation difference further comprises: calculating an intermediate value between the upper limit parameter and the lower limit parameter; sequentially determining whether each of the environment information is greater than the intermediate value; if the environment information is greater than the intermediate value, calculating a difference between the environment information and the upper limit parameter to obtain a first operation difference; if the environment information is less than or equal to the intermediate value, calculating a difference between the environment information and the lower limit parameter to obtain a first operation difference.

4. The safety warning method of the intelligent combined box-type substation according to claim 1, characterized in that: obtaining the second security variable factor according to the device operation information in the intelligent box-type substation comprises: obtaining parameter information of each device in the intelligent box-type substation; obtaining a corresponding standard operating range of each device according to the parameter information of each device, wherein the standard operating range includes a plurality of intervals; assigning values to the plurality of intervals through the scoring library; obtaining real-time operation information of each device; determining a position of the real-time operation information of each device in the interval of the standard operating range, and determining the second security variable factor according to the value of the interval in which the real-time operation information of each device is located.

5. The safety warning method of the intelligent combined box-type substation according to claim 1, characterized in that: obtaining the third security variable factor according to the historical operation and maintenance information of the intelligent box-type substation comprises: obtaining a matched first potential score from the scoring library according to the historical maintenance record of each device; obtaining a matched second potential score from the scoring library according to the total operation time of each device; calculating the third security variable factor according to the first potential score and the second potential score.

6. A safety warning system for a smart box-type substation, characterized by: The method comprises the following steps: obtaining environment information, and obtaining a first security variable factor according to the environment information; obtaining device operation information in an intelligent box-type substation, and obtaining a second security variable factor according to the device operation information; obtaining historical operation and maintenance information of the intelligent box-type substation, and obtaining a third security variable factor according to the historical operation and maintenance information; obtaining a security score result according to the first security variable factor, the second security variable factor and the third security variable factor, and performing early warning according to the security score result. The safety score result is obtained according to the first safety variable factor, the second safety variable factor and the third safety variable factor, and includes: The processing terminal calculates a device single safety score according to the first safety variable factor, the second safety variable factor and the third safety variable factor, the device single safety score representing the first safety variable factor, the second safety variable factor and the third safety variable factor associated with each independent device of the smart box-type substation, It is judged whether the device single safety score is greater than a device single limit score value, If greater, the safety score result corresponding to the device single safety score is that there is a safety risk, If not greater, the safety score result corresponding to the device single safety score is that there is no safety risk; If the device single safety score is not greater than the device single limit score value, further including: The processing terminal calculates a device total safety score according to the device single safety score, the device total safety score representing the sum of the first safety variable factor, the second safety variable factor and the third safety variable factor associated with each independent device of the smart box-type substation, It is judged whether the device total safety score plus hidden bonus is greater than a device total limit score value, If greater, the safety score result corresponding to the device total safety score is that there is a safety risk, If not greater, the safety score result corresponding to the device total safety score is that there is no safety risk; If both the device single safety score and the device total safety score are less than a preset limit score value, trend monitoring is performed, and the trend monitoring includes: A current second safety variable factor in the smart box-type substation is collected along the same time period within a preset time, and a plurality of second safety variable factors are connected to obtain a trend line, Environmental information of the current time is obtained, The processing terminal obtains a historical trend line under the condition that at least three characteristics are the same as the current environmental information from a historical record library, the historical record library containing a plurality of historical trend line information, and each point on the plurality of historical trend lines corresponding to environmental information, Time corresponding to the historical trend line and historical operation and maintenance information are obtained, A difference between the current time and the time corresponding to the historical trend line and a difference between operation and maintenance information of the current time and historical operation and maintenance information are calculated, and a loss increment is obtained according to the two differences, It is judged whether the coincidence degree of the trend line of the current time plus the loss increment and a plurality of historical trend lines is greater than a preset coincidence degree, If greater, the historical trend lines are used as a trend monitoring standard, and it is judged whether there is a safety risk according to the historical trend lines in the trend monitoring standard.

7. A computer storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to realize the safety early warning method of the smart box-type substation according to any one of claims 1 to 5.

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