Building electrical full life cycle management method based on digital twinning

Abstract

The invention relates to the technical field of full life cycle management, in particular to a building electrical full life cycle management method based on digital twinning. The method comprises the following steps: analyzing a time interval to determine whether the determination of a life cycle management plan of the electrical equipment is qualified or not, and when the determination of the life cycle management plan of the electrical equipment is preliminarily judged to be unqualified, secondarily judging whether the determination of the life cycle management plan of the electrical equipment is qualified or not based on the time domain dispersion of the time interval; by periodically counting the time interval between the actual maintenance node and the expected maintenance node and carrying out time domain dispersion analysis, the rationality of the life cycle management plan can be scientifically evaluated, secondary judgment or reason analysis can be carried out on the unqualified plan, the maintenance strategy is continuously optimized, and the overall operation and maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of full life cycle management, and in particular to a building electrical full life cycle management method based on digital twins. Background Art

[0002] Traditional building electrical management often faces problems such as data isolation, delayed response, and extensive strategies. Digital twin technology, by opening up the data link of the entire life cycle of the equipment, realizes global management with status perception, fault prediction, maintenance optimization, and decision traceability. This method is not only suitable for commercial buildings, industrial plants and other scenarios, but also a key technical support for the construction of future smart buildings and low-carbon cities. It has significant economic and social value. The existing technology effectively manages the full information data of complex equipment products in the engineering development process by constructing XBOMs such as R, F, L, P, E, M, B, and O of the product. However, traditional methods often adopt a "one-size-fits-all" fixed maintenance cycle, ignoring individual differences in equipment, resulting in excessive or insufficient maintenance.

[0003] Chinese patent application number: CN202011502266.8 discloses a method for constructing aircraft life cycle management data. This invention targets the current MBD model definition method centered on three-dimensional mechanical MCAD models, electronic and electrical ECAD models, etc., which only solves the definition of design and manufacturing data information of the physical system of the product, and lacks digital main line technologies such as product function main line, product model main line, and product physical sequence main line to carry out data management throughout the entire life cycle. Through the three-layer data architecture of the product's function layer, management layer, and model data layer, with the functional decomposition structure of the top-level "function layer" as the core, the management method of the full life cycle data of the bottom-level "model data layer" is managed through the work decomposition structure of the "management layer", constructs the product's R, F, L, P, E, M, B, O and other XBOMs, and effectively manages the full information data of complex equipment products in the engineering development process.

[0004] However, the prior art still has the following problems: Traditional methods often adopt a "one-size-fits-all" fixed maintenance cycle, ignoring the individual differences of equipment, resulting in over-maintenance or under-maintenance. Summary of the invention

[0005] To this end, the present invention provides a building electrical full life cycle management method based on digital twins to overcome the problem that traditional methods in the prior art often adopt a "one-size-fits-all" fixed maintenance cycle, ignore individual differences in equipment, and lead to excessive or insufficient maintenance.

[0006] To achieve the above objectives, the present invention provides a building electrical full life cycle management method based on digital twins. It includes: Step S1, collect and determine the parameter information of electrical equipment in a building, where the parameter information includes: operating parameters and location parameters; Step S2, construct a digital twin model and establish an associated mapping between each model and the corresponding electrical equipment; Step S3, determine the maintenance cycle for each electrical equipment according to the operating parameters of each electrical equipment, and record the time node for maintaining a single electrical equipment as the expected maintenance node for that electrical equipment; Step S4, based on the digital twin model, monitor the operating status of each electrical equipment in real time, and send a maintenance notice when the operating parameters of the electrical equipment are abnormal, and record the time node for maintaining a single electrical equipment as the actual maintenance node for that electrical equipment; Step S5, periodically count the maintenance time nodes of each electrical equipment, calculate the time interval between the actual maintenance node and the expected maintenance node of each electrical equipment, analyze whether the determination of the life cycle management plan for the electrical equipment is qualified according to the time interval, and when it is initially determined that the determination of the life cycle management plan for the electrical equipment is unqualified, based on the time domain dispersion of the time interval, secondarily determine whether the determination of the life cycle management plan for the electrical equipment is qualified, or analyze the reason why the determination of the life cycle management plan for the electrical equipment is unqualified.

[0007] Further, in the step S5, analyzing whether the determination of the life cycle management plan for the electrical equipment is qualified according to the time interval includes: Calculate the time interval between the actual maintenance node and the expected maintenance node of each electrical equipment respectively, Calculate the average value of each time interval to obtain the average time interval, If the average time interval is less than or equal to the first preset average time interval, it is determined that the determination of the life cycle management plan for the electrical equipment is qualified; If the average time interval is greater than the first preset average time interval and less than or equal to the second preset average time interval, it is initially determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and based on the time domain dispersion of each time interval, secondarily determine whether the determination of the life cycle management plan for the electrical equipment is qualified; If the average time interval is greater than the second preset average time interval, it is determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and based on the average time interval, analyze the reason why the determination of the life cycle management plan for the electrical equipment is unqualified.

[0008] Further, the secondary determination of whether the determination of the life cycle management plan for the electrical equipment is qualified based on the time domain dispersion of each time interval includes: Calculate the variance of each time interval to obtain the time-domain dispersion degree. If the time-domain dispersion degree is less than or equal to the preset time-domain dispersion degree, it is determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and the reason for the unqualified determination of the life cycle management plan for the electrical equipment is analyzed based on the average time interval. If the time-domain dispersion degree is greater than the preset time-domain dispersion degree, it is determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and the abnormal equipment is calibrated. The reason for the unqualified determination of the life cycle management plan for the electrical equipment is analyzed based on the physical distribution distance of the abnormal equipment.

[0009] Further, the reason for the unqualified determination of the life cycle management plan for the electrical equipment analyzed based on the physical distribution distance of the abnormal equipment includes: Electrical equipment with a time interval higher than the preset time interval is recorded as abnormal equipment. Determine the distribution interval between each abnormal equipment and the nearest abnormal equipment. Calculate the average value of each distribution interval to obtain the average distribution interval. If the average distribution interval is less than or equal to the preset average distribution interval, it is determined that there is a power supply abnormality in a single construction sub-region, and a line maintenance notice is issued. If the average distribution interval is greater than the preset average distribution interval, it is determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and the reason for the unqualified determination of the life cycle management plan for the electrical equipment is analyzed based on the average time interval.

[0010] Further, the reason for the unqualified determination of the life cycle management plan for the electrical equipment analyzed based on the average time interval includes: Calculate the difference between the average time interval and the second preset average time interval to obtain the average time interval difference. If the average time interval difference is less than or equal to the preset average time interval difference, the reason for the unqualified determination of the life cycle management plan for the electrical equipment is re-determined based on the proportion of the number of abnormal equipment. If the average time interval difference is greater than the preset average time interval difference, the reason for the unqualified determination of the life cycle management plan for the electrical equipment is re-determined based on the average usage duration of each equipment.

[0011] Further, the reason for the unqualified determination of the life cycle management plan for the electrical equipment re-determined based on the proportion of the number of abnormal equipment includes: Calculate the ratio of the number of abnormal equipment to the total number of electrical equipment to obtain the proportion of the number of abnormal equipment. If the proportion of the number of abnormal devices is less than or equal to the preset proportion, determine the reason for the unqualified determination of the life cycle management plan for electrical equipment based on the average usage duration of each device; If the proportion of the number of abnormal devices is greater than the preset proportion, determine that the first preset average time interval does not meet the standard.

[0012] Further, under the condition that it is determined that the first preset average time interval does not meet the standard, calculate the difference between the proportion of the number of abnormal devices and the preset proportion to obtain the proportion difference, and adjust the first preset average time interval based on the proportion difference, where the increase amplitude of the first preset average time interval is positively correlated with the proportion difference.

[0013] Further, the reasons for the unqualified determination of the life cycle management plan for electrical equipment based on the average usage duration of each device include: Determine the cumulative operation duration of each electrical device, Calculate the average value of each cumulative operation duration to obtain the average usage duration, If the average usage duration is less than or equal to the preset average usage duration, determine a data acquisition failure and send a sensor replacement notice; If the average usage duration is greater than the preset average usage duration, determine to revise the maintenance plan.

[0014] Further, under the condition that it is determined to revise the maintenance plan, calculate the difference between the average usage duration and the preset average usage duration to obtain the usage duration difference, and reduce each maintenance cycle based on the usage duration difference, where the reduction amplitude of the maintenance cycle is positively correlated with the usage duration difference.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows. In the present invention, by collecting the operation parameters and position parameters of electrical equipment and combining with the real-time monitoring of the digital twin model, the device status can be accurately grasped, the maintenance cycle can be dynamically determined based on the operation parameters, so that the maintenance plan is more in line with the actual operation of the device, avoiding over-maintenance or under-maintenance, and extending the service life of the device. The present invention analyzes whether the determination of the life cycle management plan for electrical equipment is qualified according to the time interval between the actual maintenance node and the expected maintenance node of each electrical device, and when it is initially determined that the determination of the life cycle management plan for electrical equipment is unqualified, it is determined whether the determination of the life cycle management plan for electrical equipment is qualified based on the time domain dispersion of the time interval. By periodically counting the time interval between the actual maintenance node and the expected maintenance node and performing time domain dispersion analysis, the rationality of the life cycle management plan can be scientifically evaluated, the unqualified plan can be re-determined or the cause can be analyzed, and the maintenance strategy can be continuously optimized to reduce the overall operation and maintenance cost.

[0016] Furthermore, in the present invention, considering that judging the rationality of the plan only through the average time interval or single deviation is likely to overlook the deep problems behind data fluctuations, the determination of the life cycle management plan is re-analyzed based on the discreteness of the time intervals between the actual maintenance time nodes and the expected maintenance time nodes of each electrical device. When the degree of discreteness is large, it indicates that the maintenance intervals fluctuate violently, and there may be local equipment abnormalities (such as design defects, harsh installation location environments). By calibrating the abnormal equipment and analyzing the physical distribution distance, it is possible to identify whether there are regional problems.

[0017] Furthermore, in the present invention, by continuously accumulating time-domain discreteness data, a dynamic health record can be constructed for each device to predict the aging trend and plan the replacement cycle in advance. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flowchart of a building electrical full life cycle management method based on digital twin; Figure 2 is a decision flowchart for analyzing whether the determination of the life cycle management plan for electrical equipment is qualified; Figure 3 is a decision flowchart for re-determining whether the determination of the life cycle management plan for electrical equipment is qualified; Figure 4 is a decision flowchart for analyzing the reasons for the unqualified determination of the life cycle management plan for electrical equipment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0020] It should be noted that the data in this embodiment are all obtained through comprehensive analysis and evaluation of the historical data and corresponding historical determination results of the system described in the present invention in the 6 months before this determination. Those skilled in the art can understand that the determination method of the system described in the present invention for the above single parameter can be to select the value with the highest proportion according to the data distribution as the preset standard parameter, use weighted summation to take the obtained value as the preset standard parameter, substitute each historical data into a specific formula and take the value obtained by using this formula as the preset standard parameter or other selection methods, as long as it satisfies that the system described in the present invention can clearly define different specific situations in the single determination process through the obtained values.

[0021] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0022] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of the present invention.

[0023] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0024] Please refer to Figure 1 as shown, which is a flowchart of a building electrical full - life - cycle management method based on digital twin.

[0025] The building electrical full - life - cycle management method based on digital twin provided in this embodiment includes: Step S1, collecting and determining the parameter information of electrical equipment in the building, where the parameter information includes: operating parameters and location parameters; Step S2, constructing a digital twin model and establishing an associated mapping between each model and the corresponding electrical equipment; Step S3, determining the maintenance cycle for each electrical equipment according to the operating parameters of each electrical equipment, and recording the time node for maintaining a single electrical equipment as the expected maintenance node for that electrical equipment; Step S4, based on the digital twin model, real - time monitoring the operating conditions of each electrical equipment, and sending a maintenance notice when the operating parameters of the electrical equipment are abnormal, and recording the time node for maintaining a single electrical equipment as the actual maintenance node for that electrical equipment; Step S5: Periodically count the maintenance time nodes of each electrical device, calculate the time interval between the actual maintenance node and the expected maintenance node of each electrical device, analyze whether the determination of the life cycle management plan for the electrical device is qualified based on the time interval. When it is initially determined that the determination of the life cycle management plan for the electrical device is unqualified, based on the time domain dispersion of the time interval, re-determine whether the determination of the life cycle management plan for the electrical device is qualified, or analyze the reasons for the unqualified determination of the life cycle management plan for the electrical device.

[0026] In the present invention, by collecting the operation parameters and location parameters of electrical devices and combining with the real-time monitoring of the digital twin model, the device status can be accurately grasped, the maintenance cycle can be dynamically determined based on the operation parameters, making the maintenance plan more in line with the actual operation of the device, avoiding over-maintenance or under-maintenance, and extending the service life of the device. According to the time interval between the actual maintenance node and the expected maintenance node of each electrical device, this invention analyzes whether the determination of the life cycle management plan for the electrical device is qualified. When it is initially determined that the determination of the life cycle management plan for the electrical device is unqualified, based on the time domain dispersion of the time interval, re-determine whether the determination of the life cycle management plan for the electrical device is qualified. By periodically counting the time interval between the actual maintenance node and the expected maintenance node and performing time domain dispersion analysis, the rationality of the life cycle management plan can be scientifically evaluated. For unqualified plans, re-determination or cause analysis is carried out to continuously optimize the maintenance strategy and reduce the overall operation and maintenance cost.

[0027] Please refer to Figure 2 as shown, which is a decision flow chart for analyzing whether the determination of the life cycle management plan for the electrical device is qualified.

[0028] Specifically, in the step S5, analyzing whether the determination of the life cycle management plan for the electrical device is qualified based on the time interval includes: Calculate the time interval between the actual maintenance node and the expected maintenance node of each electrical device respectively, Calculate the average value of each time interval to obtain the average time interval, If the average time interval is less than or equal to the first preset average time interval, it is determined that the determination of the life cycle management plan for the electrical device is qualified; If the average time interval is greater than the first preset average time interval and less than or equal to the second preset average time interval, it is initially determined that the determination of the life cycle management plan for the electrical device is unqualified, and based on the time domain dispersion of each time interval, re-determine whether the determination of the life cycle management plan for the electrical device is qualified; If the average time interval is greater than the second preset average time interval, it is determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and the reason for the unqualified determination of the life cycle management plan for the electrical equipment is analyzed based on the average time interval.

[0029] Specifically, in this embodiment, the first preset average time interval and the second preset average time interval are obtained by pre-measurement. Based on big data, the time interval between the actual maintenance node and the expected maintenance node in the case of qualification is determined. The first preset average time interval is 0.95 to 1.1 times of this time interval, and the second preset average time interval is 1.15 to 1.2 times of this time interval.

[0030] Please refer to Figure 3 as shown, which is a determination flowchart for secondarily determining whether the determination of the life cycle management plan for the electrical equipment is qualified.

[0031] Specifically, the secondary determination of whether the determination of the life cycle management plan for the electrical equipment is qualified based on the time domain dispersion of each time interval includes: Calculate the variance of each time interval to obtain the time domain dispersion. If the time domain dispersion is less than or equal to the preset time domain dispersion, it is determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and the reason for the unqualified determination of the life cycle management plan for the electrical equipment is analyzed based on the average time interval. If the time domain dispersion is greater than the preset time domain dispersion, it is determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and the abnormal equipment is calibrated. The reason for the unqualified determination of the life cycle management plan for the electrical equipment is analyzed based on the physical distribution distance of the abnormal equipment.

[0032] Specifically, in this embodiment, the preset time domain dispersion is obtained by pre-measurement. The time intervals between the actual maintenance nodes and the expected maintenance nodes in several qualified cases are obtained, the variances of each time interval are solved to obtain the preset time domain dispersion, and the average value of the time intervals is solved to obtain the preset time interval.

[0033] In the present invention, considering that only judging the rationality of the plan through the average value of the time interval or the single deviation is likely to ignore the deep problems behind the data fluctuations, the determination of the life cycle management plan is secondarily analyzed according to the discrete situation of the time intervals between the actual maintenance time nodes and the expected maintenance time nodes of each electrical equipment. When the degree of dispersion is large, it indicates that the maintenance interval fluctuates violently, and there may be local equipment abnormalities (such as design defects, harsh installation location environment). By calibrating the abnormal equipment and analyzing its physical distribution distance, it is possible to identify whether there are regional problems.

[0034] In the present invention, by continuously accumulating time-domain discreteness data, a dynamic health record can be constructed for each device to predict the aging trend and plan the replacement cycle in advance.

[0035] Please refer to Figure 4 shown, which is a decision flow chart for analyzing the reasons for the determination of non-conformity in the life cycle management plan for electrical equipment.

[0036] Specifically, the analysis of the reasons for the determination of non-conformity in the life cycle management plan for electrical equipment based on the physical distribution distance of abnormal devices includes: Electrical equipment with a time interval higher than the preset time interval is recorded as an abnormal device. Determine the distribution interval between each abnormal device and the nearest abnormal device. Calculate the average value of each distribution interval to obtain the average distribution interval. If the average distribution interval is less than or equal to the preset average distribution interval, it is determined that there is a power supply abnormality in a single construction sub-region, and a line maintenance notice is issued. If the average distribution interval is greater than the preset average distribution interval, it is determined that the determination of the life cycle management plan for electrical equipment is unqualified, and the reasons for the determination of the life cycle management plan for electrical equipment being unqualified are analyzed based on the average time interval.

[0037] Specifically, in this embodiment, the preset average distribution interval is obtained by pre-measurement. The distribution intervals of abnormal devices in several qualified cases are obtained, and the average value of each distribution interval is solved to obtain the preset average distribution interval.

[0038] Specifically, the analysis of the reasons for the determination of non-conformity in the life cycle management plan for electrical equipment based on the average time interval includes: Calculate the difference between the average time interval and the second preset average time interval to obtain the average time interval difference. If the average time interval difference is less than or equal to the preset average time interval difference, the reasons for the determination of non-conformity in the life cycle management plan for electrical equipment are re-determined based on the proportion of the number of abnormal devices. If the average time interval difference is greater than the preset average time interval difference, it is determined that the reasons for the determination of non-conformity in the life cycle management plan for electrical equipment are re-determined based on the average service life of each device.

[0039] Specifically, in this embodiment, the preset average time interval difference is 0.15 to 0.2 times the second preset average time interval.

[0040] Specifically, the re-determination of the reasons for the determination of non-conformity in the life cycle management plan for electrical equipment based on the proportion of the number of abnormal devices includes: Calculate the ratio of the number of abnormal devices to the total number of electrical devices to obtain the proportion of abnormal devices. If the proportion of abnormal devices is less than or equal to the preset proportion, determine the reason for the unqualified determination of the life cycle management plan for electrical devices based on the average usage duration of each device. If the proportion of abnormal devices is greater than the preset proportion, determine that the first preset average time interval does not meet the standard.

[0041] Specifically, in this embodiment, the preset proportion is selected within the range of [0.1, 0.2].

[0042] Specifically, under the condition that it is determined that the first preset average time interval does not meet the standard, calculate the difference between the proportion of abnormal devices and the preset proportion to obtain the proportion difference, and adjust the first preset average time interval based on the proportion difference. Among them, the increase amplitude of the first preset average time interval is positively correlated with the proportion difference.

[0043] In this embodiment, optionally, Compare the proportion difference with the first preset proportion difference and the second preset proportion difference. If the proportion difference is less than or equal to the first preset proportion difference, adjust the first preset average time interval to 1.1 times the initial value. If the proportion difference is greater than the first preset proportion difference and less than or equal to the second preset proportion difference, adjust the first preset average time interval to 1.15 times the initial value. If the proportion difference is greater than the second preset proportion difference, adjust the first preset average time interval to 1.2 times the initial value. Among them, the first preset proportion difference is 0.1 times the preset proportion, and the second preset proportion difference is 0.2 times the preset proportion.

[0044] Specifically, the reasons for the unqualified determination of the life cycle management plan for electrical devices based on the average usage duration of each device include: Determine the cumulative operation duration of each electrical device. Calculate the average value of each cumulative operation duration to obtain the average usage duration. If the average usage duration is less than or equal to the preset average usage duration, determine a data acquisition failure and send a sensor replacement notice. If the average usage duration is greater than the preset average usage duration, determine to revise the maintenance plan.

[0045] Specifically, in this embodiment, the preset average usage duration is the maximum value of the optimal usage durations of the corresponding electrical devices determined based on big data.

[0046] Specifically, under the condition of determining to revise the maintenance plan, calculate the difference between the average usage duration and the preset average usage duration to obtain the usage duration difference, and reduce each maintenance cycle based on the usage duration difference, where the reduction amplitude of the maintenance cycle is positively correlated with the usage duration difference.

[0047] In this embodiment, optionally, Compare the usage duration difference with a first preset usage duration difference and a second preset usage duration difference. If the usage duration difference is less than or equal to the first preset usage duration difference, adjust the maintenance cycle to 0.95 times the initial value. If the usage duration difference is greater than the first preset usage duration difference and less than or equal to the second preset usage duration difference, adjust the maintenance cycle to 0.9 times the initial value. If the usage duration difference is greater than the second preset usage duration difference, adjust the maintenance cycle to 0.8 times the initial value. Among them, the first preset usage duration difference is 0.1 to 0.15 times the preset average usage duration, and the second preset usage duration difference is 0.2 to 0.25 times the preset average usage duration.

[0048] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or replacements to the relevant technical features, and the technical solutions after these changes or replacements will all fall within the protection scope of the present invention.

[0049] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A building electrical full - life - cycle management method based on digital twin, characterized in that, Including: Step S1: Collect and determine the parameter information of electrical equipment in a building. The parameter information includes operating parameters and location parameters. Step S2: Build a digital twin model and establish an associated mapping between each model and the corresponding electrical equipment. Step S3: Determine the maintenance cycle for each electrical equipment according to the operating parameters of each electrical equipment, and record the time node for maintaining a single electrical equipment as the expected maintenance node for that electrical equipment. Step S4: Based on the digital twin model, monitor the operating status of each electrical equipment in real time, and send a maintenance notice when the operating parameters of the electrical equipment are abnormal. Record the time node for maintaining a single electrical equipment as the actual maintenance node for that electrical equipment. Step S5: Periodically count the maintenance time nodes of each electrical equipment, calculate the time interval between the actual maintenance node and the expected maintenance node of each electrical equipment, analyze whether the determination of the life cycle management plan for the electrical equipment is qualified according to the time interval. When initially determining that the determination of the life cycle management plan for the electrical equipment is unqualified, re-determine whether the determination of the life cycle management plan for the electrical equipment is qualified based on the time domain dispersion of the time interval, or analyze the reason for the unqualified determination of the life cycle management plan for the electrical equipment.

2. The method for full life cycle management of building electricity based on digital twin according to claim 1, wherein In step S5, analyzing whether the determination of the life cycle management plan for the electrical equipment is qualified according to the time interval includes: Calculate the time interval between the actual maintenance node and the expected maintenance node of each electrical equipment respectively. Calculate the average value of each time interval to obtain the average time interval. If the average time interval is less than or equal to the first preset average time interval, it is determined that the determination of the life cycle management plan for the electrical equipment is qualified. If the average time interval is greater than the first preset average time interval and less than or equal to the second preset average time interval, it is initially determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and re-determine whether the determination of the life cycle management plan for the electrical equipment is qualified based on the time domain dispersion of each time interval. If the average time interval is greater than the second preset average time interval, it is determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and analyze the reason for the unqualified determination of the life cycle management plan for the electrical equipment based on the average time interval.

3. The method for full life cycle management of building electricity based on digital twin according to claim 2, characterized in that, The re-determination of whether the determination of the life cycle management plan for the electrical equipment is qualified based on the time domain dispersion of each time interval includes: Calculate the variance of each time interval to obtain the time domain dispersion. If the time domain dispersion is less than or equal to the preset time domain dispersion, it is determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and analyze the reason for the unqualified determination of the life cycle management plan for the electrical equipment based on the average time interval. If the time domain dispersion is greater than the preset time domain dispersion, it is determined that the determination of the life cycle management plan for the electrical equipment is unqualified, and mark the abnormal equipment, and analyze the reason for the unqualified determination of the life cycle management plan for the electrical equipment based on the physical distribution distance of the abnormal equipment.

4. The method for full life cycle management of building electricity based on digital twin according to claim 3, wherein The analysis of the physical distribution distance of abnormal devices aims to determine the reasons for the non - compliance of the life - cycle management plan for electrical equipment, including: Recording electrical equipment with an operating time higher than a preset time interval as abnormal equipment; Determining the distribution interval between each abnormal device and the nearest abnormal device; Calculating the average value of each distribution interval to obtain the average distribution interval; If the average distribution interval is less than or equal to the preset average distribution interval, it is determined that there is a power supply abnormality in a single construction sub - area, and a line maintenance notice is issued; If the average distribution interval is greater than the preset average distribution interval, it is determined that the determination of the life - cycle management plan for electrical equipment is unqualified, and the reasons for the unqualified determination of the life - cycle management plan for electrical equipment are analyzed based on the average time interval.

5. The method for full life cycle management of building electricity based on digital twin according to claim 4, characterized in that The analysis of the reasons for the unqualified determination of the life - cycle management plan for electrical equipment based on the average time interval includes: Calculating the difference between the average time interval and the second preset average time interval to obtain the average time interval difference; If the average time interval difference is less than or equal to the preset average time interval difference, the reasons for the unqualified determination of the life - cycle management plan for electrical equipment are re - determined based on the proportion of the number of abnormal devices; If the average time interval difference is greater than the preset average time interval difference, the reasons for the unqualified determination of the life - cycle management plan for electrical equipment are re - determined based on the average service life of each device.

6. The method for full life cycle management of building electricity based on digital twin according to claim 5, characterized in that The re - determination of the reasons for the unqualified determination of the life - cycle management plan for electrical equipment based on the proportion of the number of abnormal devices includes: Calculating the ratio of the number of abnormal devices to the total number of electrical equipment to obtain the proportion of the number of abnormal devices; If the proportion of the number of abnormal devices is less than or equal to the preset proportion, the reasons for the unqualified determination of the life - cycle management plan for electrical equipment are re - determined based on the average service life of each device; If the proportion of the number of abnormal devices is greater than the preset proportion, it is determined that the first preset average time interval does not meet the standard.

7. The method for full life cycle management of building electricity based on digital twin according to claim 6, wherein, Under the condition that it is determined that the first preset average time interval does not meet the standard, calculate the difference between the proportion of the number of abnormal devices and the preset proportion to obtain the proportion difference, and adjust the first preset average time interval based on the proportion difference. Among them, the increase amplitude of the first preset average time interval is positively correlated with the proportion difference.

8. The method for full life cycle management of building electricity based on digital twin according to claim 7, characterized in that The re - determination of the reasons for the unqualified determination of the life - cycle management plan for electrical equipment based on the average service life of each device includes: Determining the cumulative operation time of each electrical equipment; Calculating the average value of each cumulative operation time to obtain the average service life; If the average service life is less than or equal to the preset average service life, it is determined that there is a data acquisition failure, and a sensor replacement notice is issued; If the average service life is greater than the preset average service life, it is determined to revise the maintenance plan.

9. The method for full life cycle management of building electricity based on digital twin according to claim 8, characterized in that, Under the condition that it is determined to revise the maintenance plan, calculate the difference between the average service life and the preset average service life to obtain the service life difference, and reduce each maintenance cycle based on the service life difference. Among them, the reduction amplitude of the maintenance cycle is positively correlated with the service life difference.

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