Electric energy quality monitoring method and system

Abstract

The invention provides an electric energy quality monitoring method and system, and relates to a data processing technology, and the method comprises the steps: constructing an equipment twin model corresponding to special equipment, dividing a power supply region in the equipment twin model, and obtaining a plurality of sub-power supply modules corresponding to the equipment twin model, calling a power quality function corresponding to the sub power supply module based on a preset historical period; calling an electric energy standard function corresponding to the sub power supply module, and generating a power supply problem coefficient corresponding to the sub power supply module based on the electric energy standard function and the electric energy quality function; based on the pre-judgment operation strategy and the electric energy quality function, determining predicted operation time periods of the sub power supply modules, counting the number of the predicted operation time periods to obtain operation times, and generating an operation problem coefficient according to the operation times; and calculating according to the power supply problem coefficient and the operation problem coefficient to obtain a rectification coefficient corresponding to the sub power supply module, and adding rectification equipment for the sub power supply module based on the rectification coefficient.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for monitoring power quality. Background Art

[0002] Special equipment refers to eight categories of equipment that involve life safety and are more dangerous, including boilers, pressure vessels (including gas cylinders), pressure pipelines, elevators, lifting machinery, passenger ropeways, large amusement facilities and special motor vehicles within the site (factory). These equipment have high requirements for power quality. Fluctuations in power quality may cause equipment failure, reduced efficiency or safety hazards.

[0003] However, traditional power quality monitoring systems often lack sophistication and real-time performance, making it difficult to provide effective power quality management for special equipment.

[0004] Therefore, how to conduct real-time and refined monitoring of the power quality of special equipment to ensure the safe operation of the equipment and improve the power quality of special equipment has become an urgent problem to be solved. Summary of the invention

[0005] The present invention provides a power quality monitoring method and system, which can perform real-time and refined monitoring of the power quality of special equipment, ensure the safe operation of the equipment, and improve the power quality of the special equipment.

[0006] A first aspect of the present invention provides a method for monitoring power quality, comprising: Constructing a device twin model corresponding to the special equipment, dividing the power supply area in the device twin model, obtaining multiple sub-power supply modules corresponding to the device twin model, and retrieving the power quality function corresponding to the sub-power supply module based on a preset historical period; Retrieving the electric energy standard function corresponding to the sub-power supply module, and generating a power supply problem coefficient corresponding to the sub-power supply module based on the electric energy standard function and the power quality function; Based on the predicted operation strategy and the power quality function, determining the predicted operation period of the sub-power supply module, counting the number of the predicted operation periods to obtain the number of operations, and generating an operation problem coefficient according to the number of operations; A calculation is performed according to the power supply problem coefficient and the operation problem coefficient to obtain a rectification coefficient corresponding to the sub-power supply module, and a rectification device is added to the sub-power supply module based on the rectification coefficient.

[0007] Optionally, in a possible implementation manner of the first aspect, calling a power standard function corresponding to the sub-power supply module, and generating a power supply problem coefficient corresponding to the sub-power supply module based on the power standard function and the power quality function, includes: Retrieving the electric energy standard function corresponding to the sub-power supply module, and obtaining the standard extreme value of the electric energy standard function; Acquire a time period in which the electric energy value in the power quality function is outside the standard extreme value as an abnormal time period, retrieve the extreme value corresponding to each abnormal time period as an abnormal extreme value, and count the number corresponding to the abnormal time period as the abnormal number; According to the absolute value of the difference between the abnormal extreme value and the corresponding standard extreme value, the extreme value difference value corresponding to each abnormal time period is obtained; A calculation is performed based on the abnormal number and the extreme value gap value to obtain a power supply problem coefficient corresponding to the sub-power supply module.

[0008] Optionally, in a possible implementation manner of the first aspect, the calculating based on the abnormal number and the extreme value gap value to obtain a power supply problem coefficient corresponding to the sub-power supply module includes: Counting the extreme value gap values ​​to obtain a total gap value, and obtaining an average gap value according to the ratio of the total gap value to the number of anomalies; Calculating based on the average gap value and the number of anomalies, obtaining a power supply problem coefficient corresponding to the sub-power supply module; The power supply problem coefficient is obtained by the following formula: in, is the power supply problem coefficient, is the upper limit of the number of extreme gap values, For the The extreme value gap, is the abnormal number, is the gap weight value, is the quantity weight value.

[0009] Optionally, in a possible implementation manner of the first aspect, determining the predicted operation period of the sub-power supply module based on the predicted operation strategy and the power quality function, counting the number of the predicted operation periods to obtain the number of operations, and generating the operation problem coefficient according to the number of operations includes: Based on the preset historical period, the number of times corresponding to the abnormal time period is counted as the number of time period abnormalities, and the preset historical duration of the preset historical period is obtained; According to the ratio of the number of abnormal times in the time period to the preset historical duration, the abnormal frequency corresponding to each abnormal time period is obtained; When it is determined that the abnormal frequency is greater than a preset frequency, the corresponding abnormal period is regarded as a regular abnormal period, and the remaining abnormal periods are regarded as random abnormal periods; The duration of the regular abnormal period is obtained as the regular abnormal period, and when it is determined that the regular abnormal period is greater than the preset change period, the corresponding regular abnormal period is used as the continuous change period; Retrieving a line switching strategy based on the continuous change period, and determining a line switching period of the power quality function according to the line switching strategy and the power quality function; Switching the initial power supply line of the corresponding sub-power supply module to the guarantee line according to the line switching period; When it is determined that the regular abnormality duration is less than or equal to the preset change duration, the corresponding regular abnormality period is used as the instantaneous change period; Retrieving an extreme value adjustment strategy according to the instantaneous change period, and determining an extreme value adjustment period of the power quality function according to the extreme value adjustment strategy and the power quality function; Adjusting the electric energy value corresponding to the power quality function to a standard extreme value based on the extreme value adjustment period; A predicted operation period is obtained according to the line switching period and the extreme value adjustment period, the number of the predicted operation periods is counted to obtain the number of operations, and an operation problem coefficient is generated according to the number of operations.

[0010] Optionally, in a possible implementation manner of the first aspect, determining the line switching period of the power quality function according to the line switching strategy and the power quality function includes: Retrieving the priority of each sub-power supply module as the module priority, and taking the sub-power supply modules with the same continuous change period as the continuous change sub-module; Sorting the continuously changing submodules based on the module priorities to obtain a continuously changing module sequence corresponding to the continuously changing time period; Acquire the guarantee quantity of the guarantee line, and select the continuously changing submodules in the continuously changing module sequence in sequence according to the guarantee quantity as the switching submodules corresponding to the continuously changing period; Retrieving the idle time period of the switching submodule within the prediction period, and obtaining the idle intersection time period according to the intersection of the idle time period and the continuously changing time period; When it is determined that the length of the idle intersection period is 0, the idle periods are sorted in ascending order to obtain an idle sequence, and the idle periods located in front of the continuously changing period in the idle sequence are sequentially selected to obtain a first switching screening sequence; Sequentially selecting idle time periods in the first switching screening sequence as first selected time periods, obtaining first selected durations of the first selected time periods, and when it is determined that the first selected duration is greater than or equal to a preset switching duration, using the corresponding first selected time period as a line switching time period; When it is determined that the duration of the idle intersection period is not 0, a plurality of working change periods are obtained according to a difference set between the continuous change period and the idle intersection period; Sorting the work change time periods in ascending order to obtain a work sequence, and selecting the first work change time period in the work sequence as the positioning time period; When it is determined that the duration of the working change period is greater than the preset change duration, the idle periods are sorted in ascending order to obtain an idle sequence, and the idle periods located in front of the positioning period in the idle sequence are sequentially selected to obtain a second switching screening sequence; Select the idle time periods in the second switching screening sequence in sequence as the second selected time periods, obtain the second selected duration of the second selected time periods, and when it is determined that the second selected duration is greater than or equal to the preset switching duration, use the corresponding second selected time period as the line switching time period.

[0011] Optionally, in a possible implementation of the first aspect, the method further includes: When it is determined that the duration of the idle intersection period is not 0 and the idle intersection period is equal to the continuous change period, no line switching period is generated; When it is determined that the duration of the idle intersection period is not 0, and the duration of the working change period is less than or equal to the preset change duration, the working change period is taken as the instantaneous change period.

[0012] Optionally, in a possible implementation manner of the first aspect, determining the extreme value adjustment period of the power quality function according to the extreme value adjustment strategy and the power quality function includes: The idle period of the switching submodule in the prediction period is retrieved, and when it is determined that the instantaneous change period is not in the idle period, the corresponding instantaneous change period is used as the extreme value adjustment period of the power quality function.

[0013] Optionally, in a possible implementation manner of the first aspect, counting the number of the predicted operation time periods to obtain the number of operations, and generating an operation problem coefficient according to the number of operations includes: Counting the number of line switching periods in the predicted operation period to obtain the number of switching times, and obtaining the switching coefficient according to the product of the number of switching times and the switching weight; Counting the number of extreme value adjustment periods in the predicted operation period to obtain an adjustment number, and obtaining an adjustment coefficient according to the product of the adjustment number and an adjustment weight, wherein the operation number includes the switching number and the adjustment number; generating an operation problem coefficient according to the sum of the switching coefficient and the adjustment coefficient; The operational problem coefficient is obtained by the following formula, in, is the operational problem coefficient, is the number of switching times, To switch weights, To adjust the number of times, To adjust the weight.

[0014] Optionally, in a possible implementation manner of the first aspect, the calculating according to the power supply problem coefficient and the operation problem coefficient to obtain a rectification coefficient corresponding to the sub-power supply module, and adding a rectification device to the sub-power supply module based on the rectification coefficient includes: Obtaining a rectification coefficient corresponding to the sub-power supply module according to the sum of the power supply problem coefficient and the operation problem coefficient; The rectification coefficient is obtained by the following formula, in, is the rectification coefficient; When it is determined that the rectification coefficient is greater than the preset coefficient value, a rectification device is added to the corresponding sub-power supply module.

[0015] A second aspect of the present invention provides a power quality monitoring system, comprising: A construction module is used to construct a device twin model corresponding to the special equipment, divide the power supply area in the device twin model, obtain multiple sub-power supply modules corresponding to the device twin model, and call the power quality function corresponding to the sub-power supply module based on a preset historical period; A generating module, used for retrieving the electric energy standard function corresponding to the sub-power supply module, and generating a power supply problem coefficient corresponding to the sub-power supply module based on the electric energy standard function and the power quality function; A statistical module, used to determine the predicted operation period of the sub-power supply module based on the predicted operation strategy and the power quality function, count the number of the predicted operation periods, obtain the number of operations, and generate an operation problem coefficient according to the number of operations; An adding module is used to calculate according to the power supply problem coefficient and the operation problem coefficient to obtain a rectification coefficient corresponding to the sub-power supply module, and add a rectification device to the sub-power supply module based on the rectification coefficient.

[0016] According to a third aspect of the present invention, there is provided an electronic device, comprising: a memory, a processor and a computer program, wherein the computer program is stored in the memory, and the processor runs the computer program to execute the first aspect of the present invention and various methods that may be involved in the first aspect.

[0017] According to a fourth aspect of the present invention, a storage medium is provided, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the first aspect of the present invention and various methods that may be involved in the first aspect.

[0018] The beneficial effects of the present invention are as follows: 1. The present invention can carry out real-time and refined monitoring of the power quality of special equipment, ensure the safe operation of the equipment, and improve the power quality of special equipment. Among them, the present invention can construct a twin model of the equipment for real-time monitoring and analysis, that is, the present invention maps the power parameters of the physical equipment to the virtual space by constructing a twin model of the special equipment, and realizes the refined monitoring of the power consumption part of the equipment. Through the regional power quality function analysis, it can accurately identify the power status of each sub-power supply module and generate the power supply problem coefficient in time, which provides a scientific basis for the subsequent power adjustment. This method greatly improves the accuracy and efficiency of power quality monitoring and realizes the all-round control of the equipment status.

[0019] 2. The present invention generates a power supply problem coefficient by comparing the power quality function with the power standard function. This coefficient quantifies the degree of power supply anomaly and helps to identify the severity of power fluctuations. Combined with the pre-judgment operation strategy and historical data analysis, the system can intelligently predict the operation period and generate an operation problem coefficient, thereby helping managers to make quick decisions, select appropriate rectifier equipment for power adjustment, and ensure the normal operation of the equipment.

[0020] 3. The present invention can provide a set of intelligent power optimization strategies based on the power supply problem coefficient and the operation problem coefficient. By dynamically adjusting the power supply line and power value of the sub-power supply module, the power quality of the equipment under different working conditions is ensured to be stable. In particular, by reasonably allocating the line switching period and the extreme value adjustment period, the impact of power anomalies on equipment operation is further reduced, thereby improving the reliability and safety of the overall system. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of an application scenario provided by the present invention; Figure 2 A flow chart of a power quality monitoring method provided by the present invention; Figure 3 A schematic diagram of the structure of a power quality monitoring system provided by the present invention; Figure 4 A schematic diagram of the hardware structure of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0023] like Figure 1 As shown, it is a schematic diagram of the application scenario of the technical solution provided by the present invention, including a server, a management terminal and special equipment, wherein the management terminal can be a mobile device of personnel, such as a mobile phone, a tablet, etc., and the special equipment can be a crane, an elevator, a passenger ropeway, a special motor vehicle within a site (factory), etc., which has corresponding power-consuming components and sensors and can monitor electric energy. The server sends the monitored electric energy data to the server so that the server can perform data analysis, thereby performing electric energy prediction, so as to perform line regulation on the special equipment. At the same time, the server can also receive the judgment data sent by the management terminal, so as to continuously train the calculation and analysis method according to the data actively sent by the management terminal, so as to improve the accuracy of the server's analysis data on the power quality of special equipment, so that a suitable method can be added for electric energy regulation.

[0024] like Figure 2 As shown, the present invention provides a method for monitoring power quality, comprising: S1, construct a device twin model corresponding to the special equipment, divide the power supply area in the device twin model, obtain multiple sub-power supply modules corresponding to the device twin model, and call the power quality function corresponding to the sub-power supply module based on a preset historical period.

[0025] It should be noted that in order to facilitate personnel to intuitively grasp the power quality of each power-consuming part in special equipment, a device twin model corresponding to the special equipment can be constructed, so that the power quality of the special equipment can be monitored in real time and intuitively displayed in the device twin model.

[0026] It can be understood that the equipment twin model is a digital virtual model corresponding to the special equipment, and the power supply area is the component area in the equipment twin model corresponding to the power-consuming part of the special equipment. For example, the motor components, brake components, indicator light components, etc. in the special equipment correspond to the areas in the equipment twin model. The sub-power supply module is a module that needs to supply power, that is, a module after the power supply area is divided. The preset historical period is a pre-set time period for obtaining the power quality, such as the past month. The power quality function is a function of the power quality corresponding to the sub-power supply module, such as the power supply voltage function or current function of the motor.

[0027] It is not difficult to understand that when obtaining the power quality function, a high-precision power quality sensor can be connected to the corresponding power supply interface of the special equipment to monitor the voltage, current, frequency, etc., and then monitor the power quality parameters of the special equipment 24 hours a day to ensure the real-time and accuracy of the data, so as to facilitate the subsequent analysis of the power quality function and predict possible power quality problems, so as to take preventive measures in advance and ensure the safe operation of the special equipment.

[0028] S2, calling the electric energy standard function corresponding to the sub-power supply module, and generating a power supply problem coefficient corresponding to the sub-power supply module based on the electric energy standard function and the power quality function.

[0029] It can be understood that the power standard function of each sub-power supply module is obtained, which function represents the ideal power quality standard, and a power supply problem coefficient is generated according to the deviation between the power quality function and the standard function, so as to be used subsequently to quantify the severity of the power supply quality problem.

[0030] The electric energy standard function is the rated electric energy function corresponding to the sub-power supply module during normal operation, and the power supply problem coefficient is the abnormal electric energy problem corresponding to the power supply of the sub-power supply module.

[0031] Through the above implementation, the present invention can obtain the power supply problem coefficient, so as to subsequently adjust the power supply line of the sub-power supply module according to the power supply problem coefficient, so as to ensure the safe operation of the special equipment.

[0032] In some embodiments, a specific implementation of step S2 (the step of calling the power standard function corresponding to the sub-power supply module, and generating a power supply problem coefficient corresponding to the sub-power supply module based on the power standard function and the power quality function) includes: S21, calling the electric energy standard function corresponding to the sub-power supply module to obtain the standard extreme value of the electric energy standard function.

[0033] It is understandable that the power standard function corresponding to each sub-power supply module is retrieved, and the corresponding standard extreme value is determined according to the power standard function, so that the sub-power supply module can be subsequently subjected to refined power quality abnormality detection according to the standard extreme value.

[0034] Among them, the standard extreme values ​​are the maximum and minimum values ​​corresponding to the electric energy standard function.

[0035] S22, obtaining a time period in which the electric energy value in the power quality function is outside the standard extreme value as an abnormal time period, retrieving the extreme value corresponding to each abnormal time period as an abnormal extreme value, and counting the number corresponding to the abnormal time period as the abnormal number.

[0036] It can be understood that the abnormal period is the time period when the power quality is abnormal, that is, the time period corresponding to the power value outside the standard extreme value in the power quality function, the abnormal extreme value is the power extreme value corresponding to the abnormal period, and the abnormal number is the number of abnormal periods in the power quality function.

[0037] Through the above implementation, the present invention can obtain the corresponding abnormal extreme value and abnormal quantity, so as to subsequently calculate the corresponding power supply problem coefficient.

[0038] S23, obtaining the extreme value difference value corresponding to each abnormal time period according to the absolute value of the difference between the abnormal extreme value and the corresponding standard extreme value.

[0039] It can be understood that the extreme value gap value is the numerical difference between the abnormal extreme value and the standard extreme value, that is, the absolute value of the difference between the abnormal extreme value and the corresponding standard extreme value.

[0040] For example, when the abnormal extreme value is 200V and the standard extreme value is 100V, the corresponding extreme value difference value is 200-100=100.

[0041] S24, performing calculation based on the abnormal quantity and the extreme value difference value to obtain a power supply problem coefficient corresponding to the sub-power supply module.

[0042] It can be understood that the power supply problem coefficient is calculated based on the number of anomalies and the extreme value difference value of each abnormal period, and the coefficient reflects the comprehensive impact of the frequency and severity of the abnormal period on the power supply quality.

[0043] It is not difficult to understand that by combining the extreme value gap and the number of anomalies, the impact of anomalies on power supply quality can be quantified more accurately, and the generated power supply problem coefficient provides a clear optimization direction and basis for subsequent rectification measures.

[0044] In some embodiments, a specific implementation of step S24 (the calculation based on the abnormal number and the extreme value gap value to obtain the power supply problem coefficient corresponding to the sub-power supply module) includes: S241, obtaining a total gap value by counting the extreme value gap values, and obtaining an average gap value according to a ratio of the total gap value to the number of anomalies.

[0045] It can be understood that the total gap value is the sum of the extreme gap values ​​of power quality corresponding to all abnormal time periods, and the average gap value is the average value of the gap values ​​corresponding to the power quality, that is, the ratio of the total gap value to the number of abnormalities.

[0046] It is not difficult to understand that, when the average gap value is larger, it can be explained that the deviation between the corresponding electric energy value and the standard electric energy value is larger, which indicates that the power quality of the corresponding sub-power supply module is more unstable.

[0047] S242: Calculate based on the average gap value and the number of anomalies to obtain a power supply problem coefficient corresponding to the sub-power supply module.

[0048] It can be understood that the power supply problem coefficient corresponding to the corresponding sub-power supply module is obtained according to the average gap value and the number of abnormalities. Among them, when the average gap value is larger and the number of abnormalities is larger, it can be explained that the corresponding sub-power supply module has more power quality problems, and the obtained power supply problem coefficient will also be larger. Then, when the power supply problem coefficient is subsequently referred to for power adjustment judgment, the adjustment method adopted will be more accurate, so that the power quality problem can be accurately solved, the power quality can be improved, and the normal operation of special equipment can be facilitated.

[0049] S243, the power supply problem coefficient is obtained by the following formula, in, is the power supply problem coefficient, is the upper limit of the number of extreme gap values, For the The extreme value gap, is the abnormal number, is the gap weight value, is the quantity weight value.

[0050] It is understandable that, since the same sub-power supply module may have power problems multiple times within a preset historical period, the corresponding extreme value gap values ​​can be summed up to obtain a total gap value , so when the extreme value gap value , the more abnormal times there are, the greater the total gap value The larger the value, the greater the ratio of the total gap value to the number of abnormalities, that is, the average gap value The larger the value is, the larger the final power supply problem coefficient will be. This means that the corresponding sub-power supply module has a large power deviation and a large number of abnormalities, that is, the corresponding power supply problem is more serious. Therefore, the power supply energy can be adjusted according to the power supply problem coefficient.

[0051] in, is the upper limit of the number of extreme value gaps, corresponding to the number of anomalies, and the gap weight value To determine the weight of abnormal electric energy values ​​in the power supply problem coefficient, the quantitative weight value can be preset manually. In order to determine the weight of the number of abnormal electric energy values ​​in the power supply problem coefficient, it can be manually preset.

[0052] Based on the above embodiment, it also includes: The active power supply coefficient input by the management end is received, and the gap adjustment ratio is obtained according to the ratio of the gap weight value to the quantity weight value.

[0053] It can be understood that the management end is the information terminal of the management personnel who monitors the power quality of each sub-power supply module in the special equipment, such as a mobile phone, computer, etc. The active power supply coefficient is the active analysis coefficient value obtained by the management personnel based on the power quality judgment, and the gap adjustment ratio is the proportion of the adjustment of the gap weight value.

[0054] It is not difficult to understand that, in the power quality function, the greater the gap between the power extreme value and the standard extreme value, the more unstable the power supply of the line is, and the greater the impact on the sub-power supply module, so the pre-set gap weight value is greater than the quantity weight value.

[0055] Based on the ratio of the quantity weight value and the gap weight value, a quantity adjustment ratio is obtained.

[0056] It can be understood that the quantity adjustment ratio is the proportion of the adjustment to the quantity weight value.

[0057] When it is determined that the active power supply coefficient is greater than the power supply problem coefficient, a first adjustment coefficient is obtained according to a difference between the active power supply coefficient and the power supply problem coefficient.

[0058] It can be understood that when the active power supply coefficient is greater than the power supply problem coefficient, it means that the active power supply coefficient corresponding to the artificially judged abnormality of the power quality is greater than the currently calculated power supply problem coefficient. Therefore, for the accuracy of the data results, the gap weight value can be increased, and then the first adjustment coefficient can be obtained according to the difference between the active power supply coefficient and the power supply problem coefficient, so as to adjust the gap weight value subsequently.

[0059] The first adjustment coefficient is a coefficient for adjusting the weight value, that is, the difference between the active power supply coefficient and the power supply problem coefficient.

[0060] The gap weight value is adjusted according to the first adjustment coefficient and the gap adjustment ratio to obtain an increased and adjusted gap weight value.

[0061] The quantity weight value is adjusted according to the first adjustment coefficient and the quantity adjustment ratio to obtain an increased and adjusted quantity weight value.

[0062] The following formula is used to obtain the increased adjusted gap weight value and the increased adjusted quantity weight value: in, is the active power supply coefficient, To increase the adjusted gap weight value, To increase the adjusted quantity weight value, is the square of the gap weight value, is the square of the quantity weight value, is the adjustment constant.

[0063] It is understandable that when the active power supply coefficient Greater than the power supply problem factor , and the active power supply coefficient and power supply problem coefficient The larger the gap, the smaller the current calculated value is. In this case, the corresponding weight needs to be increased to improve the accuracy of the calculated data. The larger the first adjustment coefficient The larger the value, the greater the difference weight value. The greater the degree of adjustment, the greater the adjusted gap weight value. The larger the active power supply coefficient is, the larger the The larger the value, the greater the adjusted quantity weight value. The bigger it is.

[0064] in, To adjust the constant, it is pre-set manually, and due to the difference in weight value Greater than the quantity weight value , thus, the gap adjustment ratio Greater than the quantity adjustment ratio , that is, the adjustment of the gap weight value is greater than the quantity weight value.

[0065] The gap weight value is adjusted according to the first adjustment coefficient and the gap adjustment ratio to obtain a reduced and adjusted gap weight value.

[0066] The quantity weight value is adjusted according to the first adjustment coefficient and the quantity adjustment ratio to obtain a reduced and adjusted quantity weight value.

[0067] The following formula is used to obtain the adjusted difference weight value and the adjusted quantity weight value: in, is the active power supply coefficient, To reduce the adjusted gap weight value, To reduce the adjusted quantity weight value, is the square of the gap weight value, is the square of the quantity weight value, is the adjustment constant.

[0068] It is understandable that when the active power supply coefficient Less than the power supply problem coefficient , it means that the current calculated value is large, and the corresponding weight needs to be reduced and adjusted to improve the accuracy of the calculated data results, that is, when the active power supply coefficient The smaller the first adjustment coefficient The larger the value, the greater the difference weight value. The greater the degree of adjustment, the smaller the adjusted gap weight value The smaller it is, the smaller it is. Similarly, when the active power supply coefficient The smaller it is, the smaller the adjusted quantity weight value will be. The smaller it is.

[0069] in, To adjust the constant, it is pre-set manually, and due to the difference in weight value Greater than the quantity weight value , thus, the gap adjustment ratio Greater than the quantity adjustment ratio , that is, the adjustment of the gap weight value is greater than the quantity weight value.

[0070] S3, based on the predicted operation strategy and the power quality function, determining the predicted operation period of the sub-power supply module, counting the number of the predicted operation periods to obtain the number of operations, and generating an operation problem coefficient according to the number of operations.

[0071] It can be understood that the predictive operation strategy is applied in combination with the power quality function to predict the operation period of the sub-power supply module, and the number of predicted operation periods is calculated to understand the operation frequency. According to the statistical operation number, an operation problem coefficient is generated, which is used to evaluate the impact of the operation frequency on the power quality.

[0072] Among them, the predicted operation period is the preset time period for adjusting the power supply quality of the sub-power supply module, the number of operations is the number of times the power supply quality is adjusted, and the operation problem coefficient is the operation coefficient for solving abnormal power supply problems, which is used to judge the power quality so that the corresponding rectifier equipment can be added according to the operation problem coefficient in the future to improve the operation quality of special equipment.

[0073] In some embodiments, a specific implementation of step S3 (determining the predicted operation period of the sub-power supply module based on the predicted operation strategy and the power quality function, counting the number of the predicted operation periods, obtaining the number of operations, and generating the operation problem coefficient according to the number of operations) includes: S301, based on the preset historical period, counting the number of times corresponding to the abnormal time period as the number of time period abnormalities, and obtaining the preset historical duration of the preset historical period.

[0074] It can be understood that the number of time period abnormalities is the number of times computer abnormalities occur in each abnormal time period within the preset historical period. For example, when the preset historical period is 30 days and 24 hours a day, when the abnormal time period is 9:00-10:00, 2:00-3:00, there are 10 days with power abnormalities from 9:00 to 10:00 every day within 30 days, then the number of time period abnormalities is 10, and the preset historical duration is the duration corresponding to the preset historical period, such as 30 days.

[0075] Through the above implementation mode, the present invention can determine the number of abnormalities in the corresponding time period and the preset historical duration, so as to subsequently calculate the operation problem coefficient, so as to finely monitor and analyze the power supply energy of the special equipment, so as to take appropriate adjustment methods to improve the operation quality of the special equipment.

[0076] S302, obtaining an abnormal frequency corresponding to each abnormal time period according to a ratio of the number of abnormalities in the time period to the preset historical duration.

[0077] It can be understood that the abnormal frequency is the frequency of the number of abnormalities in the power supply, that is, the ratio of the number of abnormalities in a time period to the preset historical duration.

[0078] S303: When it is determined that the abnormal frequency is greater than a preset frequency, the corresponding abnormal period is regarded as a regular abnormal period, and the remaining abnormal periods are regarded as random abnormal periods.

[0079] It can be understood that when the abnormal frequency is greater than the preset frequency, it can be explained that the abnormality of the corresponding time period is regular. In order to ensure the normal operation of the corresponding sub-power supply module, the corresponding abnormal time period can be regarded as a regular abnormal time period, and the remaining abnormal time periods can be regarded as random abnormal time periods. By classifying the abnormal time periods, appropriate adjustment methods can be taken for different types of abnormal time periods in the future to improve the power quality of the sub-power supply module.

[0080] Among them, the preset frequency is a preset reference frequency value for judging the abnormal frequency, which can be preset manually. The regular abnormal period is the abnormal period corresponding to the abnormal frequency greater than the preset frequency, and the random abnormal period is the abnormal period corresponding to the abnormal frequency less than or equal to the preset frequency.

[0081] For example, when the preset frequency is 2, when the abnormal frequency of 9:00-10:00 is 10 and the abnormal frequency corresponding to 2:00-3:00 is 2, the abnormal period 9:00-10:00 can be regarded as a regular abnormal period, and the abnormal period 2:00-3:00 can be regarded as a random abnormal period.

[0082] It is not difficult to understand that when the abnormal frequency is greater than the preset frequency, it can be explained that when the corresponding line is powered, power anomalies often occur, so the corresponding abnormal period can be regarded as a regular abnormal period, and when the abnormal frequency is less than or equal to the preset frequency, it can be explained that the power anomaly occurring in the corresponding abnormal period is random and uncertain, so it can be regarded as a random abnormal period.

[0083] S304, obtaining the duration of the regular abnormal period as the regular abnormal period, and when it is determined that the regular abnormal period is greater than the preset change period, taking the corresponding regular abnormal period as the continuous change period.

[0084] It can be understood that the regular abnormal duration is the duration corresponding to the regular abnormal period, such as 1 hour, 1 second, etc., and the preset change duration is the preset duration of the abnormal change in electric energy.

[0085] The continuously changing period is a period of continuous abnormal change of electric energy. For example, if the electric energy information in one hour from 9:00 to 10:00 continuously exceeds the standard range, then 9:00 to 10:00 is the continuously changing period.

[0086] S305, calling a line switching strategy based on the continuous change period, and determining a line switching period of the power quality function according to the line switching strategy and the power quality function.

[0087] It can be understood that when the regular abnormal period is a period of continuous change, in order to prevent abnormalities from continuing to occur during the corresponding period when the special equipment is operating subsequently, the corresponding power supply line can be changed and switched to a stable power line to ensure the normal operation of the corresponding sub-power supply module. Therefore, the line switching period can be determined based on the line switching strategy and the power quality function so that the power supply line can be switched during the corresponding line switching period.

[0088] The line switching period is the time period for switching the power supply line.

[0089] In some embodiments, a specific implementation of step S305 (determining the line switching period of the power quality function according to the line switching strategy and the power quality function) includes: S30501, retrieving the priority of each sub-power supply module as the module priority, and taking the sub-power supply modules with the same continuously changing time period as continuously changing sub-modules.

[0090] It should be noted that since the multiple power-consuming parts in special equipment have different working functions, for example, the motor drives the overall startup and operation of the special equipment, the hoist realizes the normal lifting function, and the indicator light provides lighting indication, the importance of maintaining the normal operation of the special equipment also has priority. Therefore, it is necessary to call the priority of the corresponding sub-power supply module so that the power supply of the corresponding modules in the same abnormal time period can be adjusted according to the priority.

[0091] It can be understood that the module priority is the priority corresponding to the sub-power supply module, which can be pre-set manually according to the working properties corresponding to the corresponding module. The continuously changing sub-module is the module corresponding to the time period of continuously abnormal power quality, that is, the sub-power supply module of the same continuously changing period.

[0092] Through the above implementation, the present invention can determine the corresponding priorities and continuously changing submodules, so as to subsequently adjust the power of the corresponding continuously changing submodules according to the priorities.

[0093] S30502: Sort the continuously changing sub-modules based on the module priorities to obtain a continuously changing module sequence corresponding to the continuously changing time period.

[0094] It can be understood that the continuously changing module sequence is a module sequence obtained by sorting the continuously changing modules according to the module priorities.

[0095] For example, when the continuously changing time period is 9:00-10:00, the corresponding modules are motor, hoist and indicator light, and the corresponding module priorities are level 1 for motor, level 2 for hoist and level 5 for indicator light, then the continuously changing sub-modules can be arranged according to the module priority, and the continuously changing module sequence is (motor, hoist, indicator light).

[0096] S30503, obtaining the guaranteed number of the guaranteed lines, and selecting the continuously changing submodules in the continuously changing module sequence in sequence according to the guaranteed number as the switching submodules corresponding to the continuously changing period.

[0097] It can be understood that the guarantee line is a line that ensures stable power quality, the guarantee quantity is the number of guarantee lines, that is, the number of lines that are stably adjusted for abnormal power quality, and the switching submodule is a submodule that performs line switching.

[0098] It is not difficult to understand that when the number of guarantee lines is limited, the continuously changing sub-modules with higher priorities in the continuously changing module sequence can be preferentially selected according to the guarantee number, so that stable power can be provided to the corresponding components in time to ensure the normal operation of the special equipment.

[0099] S30504, retrieve the idle time period of the switching submodule within the prediction period, and obtain the idle intersection time period according to the intersection of the idle time period and the continuously changing time period.

[0100] It can be understood that the prediction period is the time period for predicting the stability of the line power quality, for example, it can be 24 hours in the future, the idle period is the time period when the switching submodule stops working, and the idle intersection is the intersection of the continuously changing period and the idle period.

[0101] It is not difficult to understand that special equipment may have a period of stopping work within 24 hours, for example, due to the operator's rest or increasing the service life of the equipment, and the crane will not always be in a working load state, so the hoist therein will have a time to stop operating, but the corresponding indicator light may be illuminated during the corresponding time period. Therefore, in order to reduce the number of line switching operations and improve the adjustment efficiency, it is possible to determine whether the corresponding switching module needs to switch the line through the intersection of the idle period and the continuously changing period. For example, when the continuously changing period corresponding to the power quality abnormality is exactly the same as the idle period, it means that the time period of the line abnormality is exactly in the time period when the equipment stops working, and there is no need to switch the line corresponding to the submodule, thereby reducing equipment switching operations. At the same time, more idle guarantee lines can be obtained for use in other switching submodules corresponding to the continuously changing period, thereby improving adjustment efficiency.

[0102] S30505: When it is determined that the length of the idle intersection period is 0, the idle periods are sorted in ascending order to obtain an idle sequence, and the idle periods located in front of the continuously changing period in the idle sequence are sequentially selected to obtain a first switching screening sequence.

[0103] It can be understood that when it is determined that the duration of the idle intersection period is 0, it can be explained that the time period in which the corresponding power quality changes abnormally does not coincide with the idle period in which the corresponding module stops working, and then the multiple idle periods in the prediction period need to be sorted in ascending order to obtain an idle sequence. For example, the idle sequence can be (3:00-3:30, 6:00-6:30, 23:00-24:00). When the continuous change period is 9:00-10:00, the idle periods in front of the continuous change period 9:00-10:00 can be selected in turn, that is, 6:00-6:30, 3:00-3:30 are selected in turn, and the first switching screening sequence is (6:00-6:30, 3:00-3:30).

[0104] The idle sequence is a time period sequence in which the idle time periods are arranged in ascending order, and the first switching screening sequence is a time period sequence screened out for line switching.

[0105] It is not difficult to understand that when switching the line, in order to reduce the impact on the power supply adjustment of other sub-modules, the idle period with the shortest interval with the continuous change period can be preferentially selected to judge the line switching period, so as to ensure that the line can adjust the remaining switching sub-modules in the remaining time period, improve the efficiency of line switching adjustment, and ensure the stable operation of special equipment.

[0106] S30506, sequentially selecting idle time periods in the first switching screening sequence as first selected time periods, obtaining first selected durations of the first selected time periods, and when it is determined that the first selected duration is greater than or equal to a preset switching duration, using the corresponding first selected time period as a line switching time period.

[0107] It should be noted that since the idle period corresponding to the switching submodule may be very short, such as 1 second, the switching operation of the line cannot be completed in time, thereby affecting the safe operation of the special equipment. Therefore, it is necessary to screen and judge the idle period in the first switching screening sequence, and then select the first selected period with a first selected time length greater than or equal to the preset switching time length, so that the line can be switched within the corresponding first selected period subsequently to provide stable power quality and ensure the normal operation of the switching submodule.

[0108] It can be understood that the first selected time period is the idle time period selected in the first switching screening sequence, the first selected duration is the duration corresponding to the first selected time period, the preset switching duration is the duration required for the preset line switching, and the line switching time period is the idle time period corresponding to when the first selected duration is greater than or equal to the preset switching duration.

[0109] S30507: When it is determined that the duration of the idle intersection period is not 0, a plurality of working change periods are obtained according to the difference between the continuous change period and the idle intersection period.

[0110] It can be understood that when it is determined that the duration of the corresponding idle intersection period is not 0, it can be said that the continuous change period and the idle period have the same time period. Then, according to the difference between the continuous change period and the idle intersection period, the continuous change period can be divided into multiple working change periods, so that the time period for line switching can be determined subsequently according to the working change period.

[0111] The working change period is the time period when the continuous change period is in working state.

[0112] For example, when the continuous change period is 9:00-10:00 and the idle intersection period is 9:30:-9:31, the work change periods are 9:00-9:29 and 9:32-10:00.

[0113] S30508, sorting the work change time periods in ascending order to obtain a work sequence, and selecting the first work change time period in the work sequence as the positioning time period.

[0114] It can be understood that the working sequence is a time period sequence in which the working change periods are arranged in ascending order, and the positioning period is a period for positioning line switching, that is, the first working change period in the working sequence.

[0115] S30509, when it is determined that the duration of the working change period is greater than the preset change duration, the idle periods are sorted in ascending order to obtain an idle sequence, and the idle periods in the idle sequence located in front of the positioning period are selected in sequence to obtain a second switching screening sequence.

[0116] It can be understood that when the duration of the divided working change period is greater than the preset change duration, it can be explained that the abnormal time of the power quality of the line in the corresponding working change period is longer, and the line needs to be switched to maintain the stable operation of the equipment. Therefore, the corresponding idle time periods can be sorted in ascending order to obtain an idle sequence, so as to select the idle time periods with a close interval to the positioning period in turn to obtain the second switching screening sequence.

[0117] The second switching screening sequence is a time period sequence obtained by sorting the idle time periods in the idle sequence that are located in front of the positioning time period.

[0118] S30510, sequentially selecting idle time periods in the second switching screening sequence as second selected time periods, obtaining second selected durations of the second selected time periods, and when it is determined that the second selected duration is greater than or equal to the preset switching duration, using the corresponding second selected time period as the line switching time period.

[0119] It can be understood that the second selected time period is the idle time period in the second switching screening sequence, and the second selected duration is the duration corresponding to the second selected time period. Same as the above implementation, when the second selected duration is greater than or equal to the preset switching duration, it can be said that the corresponding second selected time period can complete the line switching, and the corresponding second selected time period can be used as the line switching time period.

[0120] In some embodiments, it also includes: A1, when it is determined that the duration of the idle intersection period is not 0 and the idle intersection period is equal to the continuous change period, no line switching period is generated.

[0121] It can be understood that when it is determined that the duration of the idle intersection period is not 0, it can be explained that the corresponding continuously changing period has a part that overlaps with the idle period, and when the idle intersection period is equal to the continuously changing period, it can be explained that the continuously changing period in which the power quality abnormality occurs is consistent with the idle period. Therefore, the abnormal change of power in this time period does not affect the normal operation of the special equipment, so that the line switching period can be generated, and no subsequent switching operation is required.

[0122] A2: When it is determined that the duration of the idle intersection period is not 0 and the duration of the working change period is less than or equal to the preset change duration, the working change period is regarded as an instantaneous change period.

[0123] It can be understood that when it is determined that the duration of the idle intersection period is not 0, and the duration of the working change period is less than or equal to the preset change duration, it can be explained that the period of abnormal power in the working state is extremely short, and the duration is less than or equal to the preset change duration. The corresponding working change period can be used as an instantaneous change period, so that corresponding measures can be taken according to the instantaneous change period to adjust the power quality, so as to ensure the stable operation of the special equipment.

[0124] S306: Switch the initial power supply line of the corresponding sub-power supply module to a guarantee line according to the line switching period.

[0125] It can be understood that the initial power supply circuit is an initial connection circuit of the sub-power supply module.

[0126] It is not difficult to understand that the initial power supply line connected to the corresponding sub-power supply module is switched to the guarantee line during the line switching period so that the corresponding sub-power supply module can operate stably.

[0127] S307: When it is determined that the regular abnormality duration is less than or equal to the preset change duration, the corresponding regular abnormality period is used as the instantaneous change period.

[0128] It is understandable that when it is determined that the regular abnormality duration is less than or equal to the preset change duration, the corresponding regular abnormality period can be used as the instantaneous change period, so that the power quality can be adjusted according to the extreme value adjustment strategy later.

[0129] Among them, the instantaneous change period is a time period corresponding to a regular abnormality duration that is less than or equal to a preset change duration.

[0130] S308, calling an extreme value adjustment strategy according to the instantaneous change period, and determining an extreme value adjustment period of the power quality function according to the extreme value adjustment strategy and the power quality function.

[0131] It can be understood that the extreme value adjustment period is a time period during which the corresponding extreme value in the power quality function is adjusted.

[0132] It is not difficult to understand that the time when the power quality corresponding to the instantaneous change period exceeds the standard is extremely short. Therefore, the subsequent same time period can be predicted to change the power supply of the sub-power supply module in the corresponding period. For example, when the abnormal power shows that the voltage is too high, the power supply voltage of the corresponding line can be reduced to within the standard power range, so as to adjust the power quality of each sub-power supply module and ensure the normal operation of special equipment.

[0133] In some embodiments, a specific implementation of step S308 (determining the extreme value adjustment period of the power quality function according to the extreme value adjustment strategy and the power quality function) includes: S3081, calling the idle period of the switching submodule within the prediction period, and when determining that the instantaneous change period is not within the idle period, using the corresponding instantaneous change period as the extreme value adjustment period of the power quality function.

[0134] It can be understood that the idle period of the switching submodule within the prediction cycle is called up in order to determine the instantaneous change period corresponding to the electric energy anomaly that needs to be adjusted, so that only the extreme value adjustment can be performed on the determined instantaneous change period, reducing the number of adjustments of the instantaneous change period corresponding to the idle period, thereby improving the line adjustment efficiency.

[0135] The extreme value adjustment period is an instantaneous change period that does not correspond to the idle period.

[0136] S309: adjusting the electric energy value corresponding to the power quality function to a standard extreme value based on the extreme value adjustment period.

[0137] It is understandable that after determining the extreme value adjustment period, the extreme value of the power quality that is not within the standard range can be adjusted by adjusting the corresponding supply voltage or current so that the corresponding power value is adjusted to the standard extreme value.

[0138] Among them, the standard extreme value is the extreme value corresponding to the standard power quality function.

[0139] S310, obtaining a predicted operation period according to the line switching period and the extreme value adjustment period, counting the number of the predicted operation periods to obtain the number of operations, and generating an operation problem coefficient according to the number of operations.

[0140] It can be understood that the predicted operation period is the time period for predicting line operation adjustment, that is, including the line switching period and the extreme value adjustment period, and the number of operations is the number of line adjustments performed within the prediction cycle, that is, the number of predicted operation periods.

[0141] Through the above implementation, the present invention can obtain the number of operations, thereby generating an operation problem coefficient according to the number of operations, and then obtain a more accurate rectification coefficient, which is convenient for subsequently determining the corresponding rectification equipment according to the rectification coefficient, thereby improving the stability of the operation of special equipment.

[0142] In some embodiments, a specific implementation of step S310 (the counting of the number of the predicted operation periods to obtain the number of operations, and generating the operation problem coefficient according to the number of operations) includes: S3101, counting the number of line switching periods in the predicted operation period to obtain the number of switching times, and obtaining a switching coefficient according to the product of the number of switching times and a switching weight.

[0143] It can be understood that the number of switching times is the number of line switching performed in the predicted operation period, that is, the number of line switching periods in the predicted operation period, the switching weight is the weight value corresponding to the line switching operation in the line abnormality calculation, which can be manually preset, and the switching coefficient is the calculation coefficient value for switching the line, that is, the product of the number of switching times and the switching weight. The coefficient value reflects the proportion of line switching required by the sub-power supply module in response to power abnormalities.

[0144] It is not difficult to understand that the more switching times there are, the more serious the line power anomaly will be, and the larger the corresponding switching coefficient will be.

[0145] S3102, counting the number of extreme value adjustment periods in the predicted operation period to obtain the number of adjustments, and obtaining the adjustment coefficient according to the product of the number of adjustments and the adjustment weight, wherein the number of operations includes the number of switching times and the number of adjustments.

[0146] It can be understood that the number of adjustments is the number of adjustments made when instantaneous abnormalities occur in the power quality during the predicted operation period, that is, the number of extreme value adjustment periods in the predicted operation period. The adjustment weight is the weight value corresponding to the extreme value of the line power supply in the line abnormality calculation, which can be preset manually. The adjustment coefficient is the calculation coefficient value for the extreme value adjustment in the calculation operation problem coefficient.

[0147] It is not difficult to understand that the more adjustments are made and the more abnormalities in the line power there are, the larger the corresponding adjustment coefficient will be.

[0148] S3103: Generate an operation problem coefficient according to the sum of the switching coefficient and the adjustment coefficient.

[0149] It can be understood that the operational problem coefficient is the sum of the switching coefficient and the adjustment coefficient.

[0150] S3104, the operation problem coefficient is obtained by the following formula, in, is the operational problem coefficient, is the number of switching times, To switch weights, To adjust the number of times, To adjust the weight.

[0151] It is understandable that when the switching times The more there are, the corresponding switching weight The larger the switching coefficient obtained after multiplication, the larger the number of times The more there are, the product of the number of adjustments and the adjustment weight, that is, the adjustment coefficient The larger it is, the lower the stability of the line connected to the sub-power supply module in the corresponding special equipment, so multiple operations are needed to make the sub-power supply module corresponding to the special equipment operate stably. The calculated operation problem coefficient will also be larger. Therefore, it is necessary to refer to the corresponding operation problem coefficient in the future to determine the appropriate rectifier equipment to add to ensure the normal operation of the power supply line.

[0152] On the contrary, when the switching times The less, the corresponding switching weight The switching coefficient obtained after multiplication will be smaller. Similarly, when the number of adjustments is The smaller the number, the product of the number of adjustments and the adjustment weight, that is, the adjustment coefficient The smaller it is, the higher the stability of the line connected to the sub-power supply module in the corresponding special equipment is, and there is no need to perform multiple operations. As a result, the calculated operation problem coefficient will also become smaller.

[0153] It is not difficult to understand that, based on the calculated operating problem coefficient, it is convenient to subsequently determine the corresponding adjusted equipment in order to ensure the normal operation of each sub-power supply module and improve the stability of the special equipment operation.

[0154] Based on the above embodiment, it also includes: An active operation coefficient input by a management terminal is received, and a switching adjustment ratio is obtained according to a ratio of the switching weight to the adjustment weight.

[0155] It can be understood that the management end is the information terminal of the management personnel who monitors the power quality of each sub-power supply module in the special equipment, such as a mobile phone, computer, etc. The active operation coefficient is the analysis coefficient value of the active operation obtained by the management personnel based on the power quality judgment, and the switching adjustment ratio is the proportion of the adjustment of the switching weight.

[0156] Based on the ratio of the adjustment weight to the switching weight, an extreme value adjustment ratio is obtained.

[0157] It can be understood that the extreme value adjustment ratio is the proportion of the adjustment weight.

[0158] When it is determined that the active operation coefficient is greater than the operation problem coefficient, a second adjustment coefficient is obtained according to a difference between the active operation coefficient and the operation problem coefficient.

[0159] It can be understood that when the active operation coefficient is greater than the operation problem coefficient, it can be explained that the active operation coefficient corresponding to the manually judged adjustment of the power quality operation is greater than the currently calculated operation problem coefficient. Therefore, for the accuracy of the data results, the switching weight and the adjustment weight can be increased, and then the second adjustment coefficient can be obtained according to the difference between the active operation coefficient and the operation problem coefficient, so as to adjust the switching weight and the adjustment weight subsequently.

[0160] The second adjustment coefficient is a coefficient for adjusting the weight value corresponding to the operation analysis, that is, the difference between the active operation coefficient and the operation problem coefficient.

[0161] The difference weight value is adjusted according to the second adjustment coefficient and the switching adjustment ratio to obtain an increased and adjusted switching weight.

[0162] The adjustment weight is adjusted according to the second adjustment coefficient and the extreme value adjustment ratio to obtain an increased and adjusted adjustment weight.

[0163] The increased adjusted switching weight and the increased adjusted adjustment weight are obtained by the following formula: in, is the active operating coefficient, To increase the adjusted switching weight, To increase the adjusted weight after adjustment, is the square of the switching weight, To adjust the square of the weight, is the adjustment constant.

[0164] It is understandable that when the active operating coefficient Greater than the operational problem factor , and the active operation coefficient and Operational Problem Factor The larger the gap, the smaller the current calculated value is. In this case, the corresponding weight needs to be increased to improve the accuracy of the calculated data. The larger the second adjustment factor The larger the value, the more weight is switched. The greater the degree of adjustment, the greater the adjusted switching weight. Similarly, when the active operation coefficient The larger the value, the greater the adjusted weight. The bigger it is.

[0165] It is not difficult to understand that due to the long-term abnormality of line power quality, switching is required, and the instantaneous abnormality has a greater impact on the normal operation of special equipment, so the switching weight that needs to be set in advance is greater than the adjustment weight. Therefore, when adjusting the weight, the adjustment degree of the switching weight can be greater than the adjustment degree of the adjustment weight, that is, Greater than , so that the operational problem coefficient calculated subsequently can be increased to match the actual calculation coefficient.

[0166] The difference weight value is adjusted according to the second adjustment coefficient and the switching adjustment ratio to obtain a switching weight after reduction adjustment.

[0167] The adjustment weight is adjusted according to the second adjustment coefficient and the extreme value adjustment ratio to obtain a reduced adjustment weight.

[0168] The reduced adjusted switching weight and reduced adjusted adjustment weight are obtained by the following formula, in, is the active operating coefficient, To reduce the adjusted switching weight, To reduce the adjusted weight after adjustment, is the square of the switching weight, To adjust the square of the weight, is the adjustment constant.

[0169] It is understandable that when the active operating coefficient Greater than the operational problem factor , it means that the current calculated value is large, and the corresponding weight needs to be reduced and adjusted to improve the accuracy of the calculated data results. The smaller the second adjustment coefficient The larger the value, the more weight is switched. The greater the degree of adjustment, the less the adjusted switching weight is. The smaller the active operation coefficient is, the smaller the The smaller it is, the less the adjusted weight will be. The smaller it is.

[0170] It is not difficult to understand that due to the long-term abnormality of line power quality, switching is required, and the instantaneous abnormality has a greater impact on the normal operation of special equipment, so the switching weight that needs to be set in advance is greater than the adjustment weight. Therefore, when adjusting the weight, the adjustment degree of the switching weight can be greater than the adjustment degree of the adjustment weight, that is, Greater than , so that the operational problem coefficients calculated subsequently can be reduced to match the actual calculation coefficients.

[0171] S4, performing calculation according to the power supply problem coefficient and the operation problem coefficient to obtain a rectification coefficient corresponding to the sub-power supply module, and adding a rectification device to the sub-power supply module based on the rectification coefficient.

[0172] It can be understood that the rectification coefficient is the determination coefficient for calculating the power supply line for adjustment and rectification. The rectification equipment is a device for adjusting the current, such as silicon rectifier, thyristor rectifier, solar rectifier, etc. The use of rectification equipment can realize bidirectional or unidirectional flow of current and provide a stable power supply for power-consuming equipment. Through the stable output of voltage, the subsequent circuits are protected from the influence of voltage fluctuations.

[0173] In some embodiments, a specific implementation of step S4 (the calculation is performed according to the power supply problem coefficient and the operation problem coefficient to obtain a rectification coefficient corresponding to the sub-power supply module, and a rectification device is added to the sub-power supply module based on the rectification coefficient) includes: S41, obtaining a rectification coefficient corresponding to the sub-power supply module according to the sum of the power supply problem coefficient and the operation problem coefficient.

[0174] It can be understood that the power supply problem coefficient and the operation problem coefficient are summed to obtain the rectification coefficient corresponding to each sub-power supply module, so that the corresponding rectification device to be added can be determined by the rectification coefficient.

[0175] S42, the rectification coefficient is obtained by the following formula, in, is the rectification coefficient.

[0176] It is understandable that when the power supply problem coefficient The larger the coefficient of operation problems The larger the value, the calculated rectification coefficient It will also increase accordingly, which means that the more problems there are in the power quality of the initial connection line of the corresponding sub-power supply module, the larger the rectification coefficient will be. This can provide personnel with data reference to determine the appropriate rectification equipment and ensure the stable operation of the sub-power supply module.

[0177] S43, when it is determined that the rectification coefficient is greater than a preset coefficient value, a rectification device is added to the corresponding sub-power supply module.

[0178] It can be understood that the preset coefficient value is a reference coefficient value for judging whether to add a rectifier device, and can be preset manually. That is, when the rectification coefficient is greater than the preset coefficient value, it can be said that the power quality of the current sub-power supply module is low, and auxiliary rectification equipment needs to be added so that the sub-power supply module can work stably.

[0179] See also Figure 3 , is a schematic diagram of the structure of a power quality monitoring system provided by an embodiment of the present invention, the power quality monitoring system comprising: A construction module is used to construct a device twin model corresponding to the special equipment, divide the power supply area in the device twin model, obtain multiple sub-power supply modules corresponding to the device twin model, and call the power quality function corresponding to the sub-power supply module based on a preset historical period; A generating module, used for retrieving the electric energy standard function corresponding to the sub-power supply module, and generating a power supply problem coefficient corresponding to the sub-power supply module based on the electric energy standard function and the power quality function; A statistical module, used to determine the predicted operation period of the sub-power supply module based on the predicted operation strategy and the power quality function, count the number of the predicted operation periods, obtain the number of operations, and generate an operation problem coefficient according to the number of operations; An adding module is used to calculate according to the power supply problem coefficient and the operation problem coefficient to obtain a rectification coefficient corresponding to the sub-power supply module, and add a rectification device to the sub-power supply module based on the rectification coefficient.

[0180] See also Figure 4 , is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention, the electronic device 40 includes: a processor 41, a memory 42 and a computer program; wherein The memory 42 is used to store the computer program, and the memory may also be a flash memory. The computer program is, for example, an application program, a functional module, etc. for implementing the above method.

[0181] The processor 41 is used to execute the computer program stored in the memory to implement each step performed by the device in the above method. For details, please refer to the relevant description in the above method embodiment.

[0182] Optionally, the memory 42 may be independent or integrated with the processor 41 .

[0183] When the memory 42 is a device independent of the processor 41, the device may further include: The bus 43 is used to connect the memory 42 and the processor 41 .

[0184] The present invention also provides a readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the methods provided by the various embodiments described above.

[0185] Among them, the readable storage medium can be a computer storage medium or a communication medium. The communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The computer storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer. For example, a readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application-specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). In addition, the ASIC can be located in a user device. Of course, the processor and the readable storage medium can also exist in a communication device as discrete components. The readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0186] The present invention also provides a program product, which includes an execution instruction, which is stored in a readable storage medium. At least one processor of a device can read the execution instruction from the readable storage medium, and at least one processor executes the execution instruction so that the device implements the methods provided in the above various embodiments.

[0187] In the embodiments of the above-mentioned devices, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0188] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for monitoring power quality, characterized in that: include: Constructing a device twin model corresponding to the special equipment, dividing the power supply area in the device twin model, obtaining multiple sub-power supply modules corresponding to the device twin model, and retrieving the power quality function corresponding to the sub-power supply module based on a preset historical period; Retrieving the electric energy standard function corresponding to the sub-power supply module, and generating a power supply problem coefficient corresponding to the sub-power supply module based on the electric energy standard function and the power quality function; Based on the predicted operation strategy and the power quality function, determining the predicted operation period of the sub-power supply module, counting the number of the predicted operation periods to obtain the number of operations, and generating an operation problem coefficient according to the number of operations; A calculation is performed according to the power supply problem coefficient and the operation problem coefficient to obtain a rectification coefficient corresponding to the sub-power supply module, and a rectification device is added to the sub-power supply module based on the rectification coefficient.

2. The method according to claim 1, characterized in that: The calling of the electric energy standard function corresponding to the sub-power supply module and generating a power supply problem coefficient corresponding to the sub-power supply module based on the electric energy standard function and the power quality function includes: Retrieving the electric energy standard function corresponding to the sub-power supply module, and obtaining the standard extreme value of the electric energy standard function; Acquire a time period in which the electric energy value in the power quality function is outside the standard extreme value as an abnormal time period, retrieve the extreme value corresponding to each abnormal time period as an abnormal extreme value, and count the number corresponding to the abnormal time period as the abnormal number; According to the absolute value of the difference between the abnormal extreme value and the corresponding standard extreme value, the extreme value difference value corresponding to each abnormal time period is obtained; A calculation is performed based on the abnormal number and the extreme value gap value to obtain a power supply problem coefficient corresponding to the sub-power supply module.

3. The method according to claim 2, characterized in that The calculating based on the abnormal number and the extreme value gap value to obtain the power supply problem coefficient corresponding to the sub-power supply module includes: Counting the extreme value gap values ​​to obtain a total gap value, and obtaining an average gap value according to the ratio of the total gap value to the number of anomalies; Calculating based on the average gap value and the number of anomalies, obtaining a power supply problem coefficient corresponding to the sub-power supply module; The power supply problem coefficient is obtained by the following formula: in, is the power supply problem coefficient, is the upper limit of the number of extreme gap values, For the The extreme value gap, is the abnormal number, is the gap weight value, is the quantity weight value.

4. The method according to claim 3, characterized in that The method of determining the predicted operation period of the sub-power supply module based on the predicted operation strategy and the power quality function, counting the number of the predicted operation periods to obtain the number of operations, and generating an operation problem coefficient according to the number of operations includes: Based on the preset historical period, the number of times corresponding to the abnormal time period is counted as the number of time period abnormalities, and the preset historical duration of the preset historical period is obtained; According to the ratio of the number of abnormal times in the time period to the preset historical duration, the abnormal frequency corresponding to each abnormal time period is obtained; When it is determined that the abnormal frequency is greater than a preset frequency, the corresponding abnormal period is regarded as a regular abnormal period, and the remaining abnormal periods are regarded as random abnormal periods; The duration of the regular abnormal period is obtained as the regular abnormal period, and when it is determined that the regular abnormal period is greater than the preset change period, the corresponding regular abnormal period is used as the continuous change period; Retrieving a line switching strategy based on the continuous change period, and determining a line switching period of the power quality function according to the line switching strategy and the power quality function; Switching the initial power supply line of the corresponding sub-power supply module to the guarantee line according to the line switching period; When it is determined that the regular abnormality duration is less than or equal to the preset change duration, the corresponding regular abnormality period is used as the instantaneous change period; Retrieving an extreme value adjustment strategy according to the instantaneous change period, and determining an extreme value adjustment period of the power quality function according to the extreme value adjustment strategy and the power quality function; Adjusting the electric energy value corresponding to the power quality function to a standard extreme value based on the extreme value adjustment period; A predicted operation period is obtained according to the line switching period and the extreme value adjustment period, the number of the predicted operation periods is counted to obtain the number of operations, and an operation problem coefficient is generated according to the number of operations.

5. The method according to claim 4, characterized in that The determining, according to the line switching strategy and the power quality function, a line switching period of the power quality function comprises: Retrieving the priority of each sub-power supply module as the module priority, and taking the sub-power supply modules with the same continuous change period as the continuous change sub-module; Sorting the continuously changing submodules based on the module priorities to obtain a continuously changing module sequence corresponding to the continuously changing time period; Acquire the guarantee quantity of the guarantee line, and select the continuously changing submodules in the continuously changing module sequence in sequence according to the guarantee quantity as the switching submodules corresponding to the continuously changing period; Retrieving the idle time period of the switching submodule within the prediction period, and obtaining the idle intersection time period according to the intersection of the idle time period and the continuously changing time period; When it is determined that the length of the idle intersection period is 0, the idle periods are sorted in ascending order to obtain an idle sequence, and the idle periods located in front of the continuously changing period in the idle sequence are sequentially selected to obtain a first switching screening sequence; Sequentially selecting idle time periods in the first switching screening sequence as first selected time periods, obtaining first selected durations of the first selected time periods, and when it is determined that the first selected duration is greater than or equal to a preset switching duration, using the corresponding first selected time period as a line switching time period; When it is determined that the duration of the idle intersection period is not 0, a plurality of working change periods are obtained according to a difference set between the continuous change period and the idle intersection period; Sorting the work change time periods in ascending order to obtain a work sequence, and selecting the first work change time period in the work sequence as the positioning time period; When it is determined that the duration of the working change period is greater than the preset change duration, the idle periods are sorted in ascending order to obtain an idle sequence, and the idle periods in the idle sequence located in front of the positioning period are sequentially selected to obtain a second switching screening sequence; Select the idle time periods in the second switching screening sequence in sequence as the second selected time periods, obtain the second selected duration of the second selected time periods, and when it is determined that the second selected duration is greater than or equal to the preset switching duration, use the corresponding second selected time period as the line switching time period.

6. The method according to claim 5, characterized in that Also includes: When it is determined that the duration of the idle intersection period is not 0 and the idle intersection period is equal to the continuous change period, no line switching period is generated; When it is determined that the duration of the idle intersection period is not 0, and the duration of the working change period is less than or equal to the preset change duration, the working change period is taken as the instantaneous change period.

7. The method according to claim 5, characterized in that The step of determining the extreme value adjustment period of the power quality function according to the extreme value adjustment strategy and the power quality function comprises: The idle period of the switching submodule within the prediction period is retrieved, and when it is determined that the instantaneous change period is not within the idle period, the corresponding instantaneous change period is used as the extreme value adjustment period of the power quality function.

8. The method according to claim 4, characterized in that The counting of the number of the predicted operation time periods to obtain the number of operations, and generating an operation problem coefficient according to the number of operations, includes: Counting the number of line switching periods in the predicted operation period to obtain the number of switching times, and obtaining the switching coefficient according to the product of the number of switching times and the switching weight; Counting the number of extreme value adjustment periods in the predicted operation period to obtain an adjustment number, and obtaining an adjustment coefficient according to the product of the adjustment number and an adjustment weight, wherein the operation number includes the switching number and the adjustment number; generating an operation problem coefficient according to the sum of the switching coefficient and the adjustment coefficient; The operational problem coefficient is obtained by the following formula, in, is the operational problem coefficient, is the number of switching times, To switch weights, To adjust the number of times, To adjust the weight.

9. The method according to claim 8, characterized in that The calculating according to the power supply problem coefficient and the operation problem coefficient to obtain a rectification coefficient corresponding to the sub-power supply module, and adding a rectification device to the sub-power supply module based on the rectification coefficient, includes: Obtaining a rectification coefficient corresponding to the sub-power supply module according to the sum of the power supply problem coefficient and the operation problem coefficient; The rectification coefficient is obtained by the following formula: in, is the rectification coefficient; When it is determined that the rectification coefficient is greater than the preset coefficient value, a rectification device is added to the corresponding sub-power supply module.

10. A power quality monitoring system, characterized in that: include: A construction module is used to construct a device twin model corresponding to the special equipment, divide the power supply area in the device twin model, obtain multiple sub-power supply modules corresponding to the device twin model, and call the power quality function corresponding to the sub-power supply module based on a preset historical period; A generating module, used for calling the electric energy standard function corresponding to the sub-power supply module, and generating a power supply problem coefficient corresponding to the sub-power supply module based on the electric energy standard function and the power quality function; A statistical module, used to determine the predicted operation period of the sub-power supply module based on the predicted operation strategy and the power quality function, count the number of the predicted operation periods, obtain the number of operations, and generate an operation problem coefficient according to the number of operations; An adding module is used to calculate according to the power supply problem coefficient and the operation problem coefficient to obtain a rectification coefficient corresponding to the sub-power supply module, and add a rectification device to the sub-power supply module based on the rectification coefficient.

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