Building electrical full life cycle management method based on digital twin

Abstract

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. According to the time interval between the actual maintenance node and the expected maintenance node of each electrical device, whether the life cycle management plan of the electrical equipment is qualified is determined by analyzing the time interval. When it is preliminarily determined that the determination of the life cycle management plan for the electrical equipment is unqualified, a secondary determination is made on whether the determination of the life cycle management plan for the electrical equipment is qualified based on the time domain discreteness of the time interval. By periodically counting the time interval between the actual maintenance node and the expected maintenance node and performing time domain discreteness analysis, the rationality of the life cycle management plan can be scientifically evaluated, and a secondary determination or cause analysis can be performed on unqualified plans, so as to continuously optimize maintenance strategies and reduce overall operation and maintenance costs.

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 data links throughout the entire life cycle of equipment, realizes global management with status perception, fault prediction, maintenance optimization, and decision traceability. This method is not only applicable to scenarios such as commercial buildings and industrial plants, but is also a key technical support for the construction of future smart buildings and low-carbon cities. It has significant economic and social value. Existing technologies effectively manage the full information data of complex equipment products during the engineering development process by constructing XBOMs such as R, F, L, P, E, M, B, and O of products. However, because traditional methods often adopt a "one-size-fits-all" fixed maintenance cycle, they ignore individual differences in equipment, resulting in excessive or insufficient maintenance.

[0003] Chinese patent application number: CN202011502266.8 discloses a method for constructing aircraft full 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 product physical system, and lacks the current situation of data management throughout the entire life cycle based on digital main line technologies such as product function main line, product model main line, and product physical sequence main line. 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", constructing the product's R, F, L, P, E, M, B, O and other XBOMs, and effectively managing the full information data of complex equipment products in the engineering development process.

[0004] However, the prior art still has the following problems:

[0005] Traditional methods often adopt a "one-size-fits-all" fixed maintenance cycle, ignoring individual differences in equipment, resulting in over-maintenance or under-maintenance. Summary of the Invention

[0006] To this end, the present invention provides a building electrical full life cycle management method based on digital twins to overcome the problem of traditional methods in the existing technology often adopting a "one-size-fits-all" fixed maintenance cycle, ignoring individual differences in equipment, and leading to excessive or insufficient maintenance.

[0007] To achieve the above objectives, the present invention provides a building electrical lifecycle management method based on digital twins. It includes:

[0008] Step S1, collecting and determining parameter information of electrical equipment in a building, the parameter information including: operating parameters and location parameters;

[0009] Step S2: construct a digital twin model and establish an association mapping between each model and the corresponding electrical equipment;

[0010] Step S3, determining a maintenance period for each electrical device according to the operating parameters of each electrical device, and recording the determined time node for performing maintenance on a single electrical device as an expected maintenance node for the electrical device;

[0011] Step S4: monitoring the operating status of each electrical device in real time based on the digital twin model, and issuing a maintenance notice when an abnormality occurs in the operating parameters of the electrical device, and recording the time node of maintenance for a single electrical device as the actual maintenance node for the electrical device;

[0012] 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 based on the time interval, and when it is preliminarily determined that the determination of the life cycle management plan for the electrical equipment is unqualified, perform a secondary determination on whether the determination of the life cycle management plan for the electrical equipment is qualified based on the time domain discreteness of the time interval, or analyze the reason why the determination of the life cycle management plan for the electrical equipment is unqualified.

[0013] Furthermore, 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:

[0014] Calculate the time interval between the actual maintenance node and the expected maintenance node of each electrical device respectively,

[0015] Calculate the average of each time interval to get the average time interval,

[0016] If the average time interval is less than or equal to the first preset average time interval, determining that the determination of the life cycle management plan for the electrical equipment is qualified;

[0017] 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, a preliminary determination is made that the determination of the life cycle management plan for the electrical equipment is unqualified, and a secondary determination is made as to 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;

[0018] 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 determination of the life cycle management plan for the electrical equipment being unqualified is analyzed based on the average time interval.

[0019] Furthermore, the secondary determination of whether the life cycle management plan for the electrical equipment is qualified based on the time domain dispersion of each time interval includes:

[0020] Calculate the variance of each time interval to obtain the time domain discreteness,

[0021] If the time domain dispersion is less than or equal to a preset time domain dispersion, determining that the determination of the life cycle management plan for the electrical equipment is unqualified, and analyzing the reasons for the unqualified determination of the life cycle management plan for the electrical equipment based on the average time interval;

[0022] If the time domain discreteness is greater than the preset time domain discreteness, 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 determination of the life cycle management plan for the electrical equipment being unqualified is analyzed based on the physical distribution distance of the abnormal equipment.

[0023] Furthermore, the analysis of reasons for determining failure of the life cycle management plan for electrical equipment based on the physical distribution distance of abnormal equipment includes:

[0024] Record electrical equipment that exceeds the preset time interval as abnormal equipment,

[0025] Determine the distribution interval between each abnormal device and the nearest abnormal device,

[0026] Calculate the average value of each distribution interval to obtain the average distribution interval,

[0027] 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 anomaly in the single construction sub-area and a line maintenance notice is issued;

[0028] 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 determination of the life cycle management plan for the electrical equipment being unqualified is analyzed based on the average time interval.

[0029] Furthermore, the analysis of reasons for determining non-compliance with the life cycle management plan for electrical equipment based on the average time interval includes:

[0030] Calculating the difference between the average time interval and the second preset average time interval to obtain an average time interval difference,

[0031] If the average time interval difference is less than or equal to the preset average time interval difference, a second determination is made as to the reason for failure of the life cycle management plan for the electrical equipment based on the proportion of the number of abnormal devices;

[0032] If the average time interval difference is greater than the preset average time interval difference, the reason for the second determination of the failure of the life cycle management plan for the electrical equipment based on the average usage time of each device is determined.

[0033] Furthermore, the secondary determination of the reasons for failure of the life cycle management plan for the electrical equipment based on the proportion of the number of abnormal devices includes:

[0034] Calculate the ratio of the number of abnormal devices to the total number of electrical devices to obtain the proportion of abnormal devices.

[0035] If the proportion of abnormal devices is less than or equal to the preset proportion, a secondary determination is made based on the average usage time of each device to determine the reasons for failure to meet the life cycle management plan for the electrical equipment.

[0036] If the proportion of abnormal devices is greater than the preset proportion, it is determined that the first preset average time interval does not meet the standard.

[0037] Furthermore, under the condition that it is determined that the first preset average time interval does not meet the standard, the difference between the number ratio of abnormal devices and the preset number ratio is calculated to obtain the number ratio difference, and the first preset average time interval is adjusted based on the number ratio difference, wherein the increase in the first preset average time interval is positively correlated with the number ratio difference.

[0038] Furthermore, the secondary determination based on the average usage time of each device of the reasons for determining failure of the life cycle management plan for the electrical equipment includes:

[0039] Determine the cumulative operating time of each of the electrical equipment,

[0040] Calculate the average of the accumulated running time to get the average usage time.

[0041] If the average usage time is less than or equal to the preset average usage time, it is determined that the data collection is faulty and a sensor replacement notice is issued;

[0042] If the average usage time is greater than the preset average usage time, it is determined to revise the maintenance plan.

[0043] Furthermore, under the condition of determining whether to revise the maintenance plan, the difference between the average usage time and the preset average usage time is calculated to obtain the usage time difference, and each maintenance cycle is reduced based on the usage time difference, wherein the reduction in the maintenance cycle is positively correlated with the usage time difference.

[0044] Compared with the prior art, the beneficial effect of the present invention lies in that, by collecting the operating parameters and location parameters of electrical equipment and combining them with real-time monitoring of the digital twin model, the present invention can accurately grasp the equipment status and dynamically determine the maintenance cycle based on the operating parameters, so that the maintenance plan is more in line with the actual operation of the equipment, avoiding excessive maintenance or insufficient maintenance, and extending the service life of the equipment. The present invention analyzes whether the determination of the life cycle management plan for the electrical equipment is qualified based on the time interval between the actual maintenance node and the expected maintenance node of each electrical equipment, and when it is preliminarily determined that the determination of the life cycle management plan for the electrical equipment is unqualified, it makes a secondary determination based on the time domain discreteness of the time interval whether the determination of the life cycle management plan for the electrical equipment is qualified. By periodically counting the time interval between the actual maintenance node and the expected maintenance node and performing time domain discreteness analysis, it is possible to scientifically evaluate the rationality of the life cycle management plan, make a secondary determination or cause analysis for unqualified plans, continuously optimize maintenance strategies, and reduce overall operation and maintenance costs.

[0045] Furthermore, the present invention takes into account that judging the rationality of the plan only by the average value of the time interval or the single deviation may easily ignore the deep-seated problems behind the data fluctuations. The qualification of the life cycle management plan is determined by secondary analysis based on the discreteness of the time interval between the actual maintenance time node and the expected maintenance time node of each electrical equipment. When the degree of discreteness is large, it indicates that the maintenance interval fluctuates violently, and there may be local equipment abnormalities (such as design defects, harsh installation environment). By calibrating the abnormal equipment and analyzing its physical distribution distance, it can be identified whether there is a regionalization problem.

[0046] Furthermore, by continuously accumulating time-domain discreteness data, the present invention can build a dynamic health profile for each device, predict aging trends, and plan replacement cycles in advance. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a flowchart of the building electrical full life cycle management method based on digital twins;

[0048] Figure 2 A flow chart for analyzing the qualification of the life cycle management plan for electrical equipment;

[0049] Figure 3 A flow chart for secondary determination of whether the life cycle management plan for electrical equipment is qualified;

[0050] Figure 4 Decision flow chart for analyzing the causes of nonconformities determined for the life cycle management program of electrical equipment. DETAILED DESCRIPTION

[0051] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0052] It should be noted that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical data of the six months before the current determination and the corresponding historical determination results by the system of the present invention. It can be understood by those skilled in the art that the system of the present invention can determine the above parameters for each of the above parameters by selecting the value with the highest proportion as the preset standard parameter based on the data distribution, using weighted summation to use the obtained value as the preset standard parameter, substituting each historical data into a specific formula and using the value obtained by the formula as the preset standard parameter, or other selection methods, as long as the system of the present invention can clearly define the different specific situations in the single determination process through the obtained values.

[0053] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0054] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the 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 cannot be understood as a limitation on the present invention.

[0055] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0056] See also Figure 1 As shown in the figure, it is a flow chart of the building electrical full life cycle management method based on digital twins.

[0057] The digital twin-based building electrical lifecycle management method provided in this embodiment includes:

[0058] Step S1, collecting and determining parameter information of electrical equipment in a building, the parameter information including: operating parameters and location parameters;

[0059] Step S2: construct a digital twin model and establish an association mapping between each model and the corresponding electrical equipment;

[0060] Step S3, determining a maintenance period for each electrical device according to the operating parameters of each electrical device, and recording the determined time node for performing maintenance on a single electrical device as an expected maintenance node for the electrical device;

[0061] Step S4: monitoring the operating status of each electrical device in real time based on the digital twin model, and issuing a maintenance notice when an abnormality occurs in the operating parameters of the electrical device, and recording the time node of maintenance for a single electrical device as the actual maintenance node for the electrical device;

[0062] 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 based on the time interval, and when it is preliminarily determined that the determination of the life cycle management plan for the electrical equipment is unqualified, perform a secondary determination on whether the determination of the life cycle management plan for the electrical equipment is qualified based on the time domain discreteness of the time interval, or analyze the reason why the determination of the life cycle management plan for the electrical equipment is unqualified.

[0063] The present invention collects the operating parameters and location parameters of electrical equipment and combines them with real-time monitoring of the digital twin model to accurately grasp the equipment status and dynamically determine the maintenance cycle based on the operating parameters, so that the maintenance plan is more in line with the actual operation of the equipment, avoiding excessive or insufficient maintenance and extending the service life of the equipment. The present invention analyzes whether the determination of the life cycle management plan for the electrical equipment is qualified based on the time interval between the actual maintenance node and the expected maintenance node of each electrical equipment, and when it is preliminarily determined that the determination of the life cycle management plan for the electrical equipment is unqualified, it makes a secondary determination based on the time domain discreteness of the time interval whether the determination of the life cycle management plan for the electrical equipment is qualified. By periodically counting the time interval between the actual maintenance node and the expected maintenance node and performing time domain discreteness analysis, it is possible to scientifically evaluate the rationality of the life cycle management plan. A secondary determination or cause analysis is performed for unqualified plans, and maintenance strategies are continuously optimized to reduce overall operation and maintenance costs.

[0064] See also Figure 2As shown, it is a flow chart for analyzing whether the life cycle management plan for electrical equipment is qualified.

[0065] Specifically, 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:

[0066] Calculate the time interval between the actual maintenance node and the expected maintenance node of each electrical device respectively,

[0067] Calculate the average of each time interval to get the average time interval,

[0068] If the average time interval is less than or equal to the first preset average time interval, determining that the determination of the life cycle management plan for the electrical equipment is qualified;

[0069] 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, a preliminary determination is made that the determination of the life cycle management plan for the electrical equipment is unqualified, and a secondary determination is made as to 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;

[0070] 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 determination of the life cycle management plan for the electrical equipment being unqualified is analyzed based on the average time interval.

[0071] Specifically, in this embodiment, the first preset average time interval and the second preset average time interval are obtained in advance, and the time interval between the actual maintenance node and the expected maintenance node under qualified conditions is determined based on big data. The first preset average time interval is 0.95~1.1 times the time interval, and the second preset average time interval is 1.15~1.2 times the time interval.

[0072] See also Figure 3 As shown, it is a flow chart for secondary determination of whether the life cycle management plan of electrical equipment is qualified.

[0073] Specifically, the secondary determination of whether the life cycle management plan for the electrical equipment is qualified based on the time domain dispersion of each time interval includes:

[0074] Calculate the variance of each time interval to obtain the time domain discreteness,

[0075] If the time domain dispersion is less than or equal to a preset time domain dispersion, determining that the determination of the life cycle management plan for the electrical equipment is unqualified, and analyzing the reasons for the unqualified determination of the life cycle management plan for the electrical equipment based on the average time interval;

[0076] If the time domain discreteness is greater than the preset time domain discreteness, 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 determination of the life cycle management plan for the electrical equipment being unqualified is analyzed based on the physical distribution distance of the abnormal equipment.

[0077] Specifically, in this embodiment, the preset time domain discreteness is obtained by pre-measurement. The time intervals between the actual maintenance node and the expected maintenance node under several qualified conditions are obtained, the variance of each time interval is solved to obtain the preset time domain discreteness, and the average value of the time interval is solved to obtain the preset time interval.

[0078] The present invention takes into account that judging the rationality of the plan only by the average value of the time interval or the single deviation may easily ignore the deep-seated problems behind the data fluctuations. The qualification of the life cycle management plan is determined by secondary analysis based on the discreteness of the time interval between the actual maintenance time node and the expected maintenance time node of each electrical equipment. When the degree of discreteness is large, it indicates that the maintenance interval fluctuates violently, and there may be local equipment abnormalities (such as design defects, harsh installation environment). By calibrating the abnormal equipment and analyzing its physical distribution distance, it can be identified whether there is a regionalization problem.

[0079] By continuously accumulating time-domain discreteness data, the present invention can build a dynamic health profile for each device, predict aging trends, and plan replacement cycles in advance.

[0080] See also Figure 4 As shown, it is a decision flow chart for analyzing the causes of failure to determine the life cycle management plan for electrical equipment.

[0081] Specifically, the reasons for determining failure of the life cycle management plan for electrical equipment based on the analysis of the physical distribution distance of abnormal equipment include:

[0082] Record electrical equipment that exceeds the preset time interval as abnormal equipment,

[0083] Determine the distribution interval between each abnormal device and the nearest abnormal device,

[0084] Calculate the average value of each distribution interval to obtain the average distribution interval,

[0085] 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 anomaly in the single construction sub-area and a line maintenance notice is issued;

[0086] 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.

[0087] Specifically, in this embodiment, the preset average distribution interval is obtained by pre-measurement, and the distribution intervals of abnormal devices under several qualified conditions are obtained, and the average value of each distribution interval is solved to obtain the preset average distribution interval.

[0088] Specifically, the reasons for determining non-compliance with the life cycle management plan for electrical equipment based on the average time interval analysis include:

[0089] Calculating the difference between the average time interval and the second preset average time interval to obtain an average time interval difference,

[0090] If the average time interval difference is less than or equal to the preset average time interval difference, a second determination is made as to the reason for failure of the life cycle management plan for the electrical equipment based on the proportion of the number of abnormal devices;

[0091] If the average time interval difference is greater than the preset average time interval difference, the reason for the second determination of the failure of the life cycle management plan for the electrical equipment based on the average usage time of each device is determined.

[0092] Specifically, in this embodiment, the preset average time interval difference is 0.15 to 0.2 times the second preset average time interval.

[0093] Specifically, the reasons for the secondary determination of the failure of the life cycle management plan for the electrical equipment based on the proportion of the number of abnormal devices include:

[0094] Calculate the ratio of the number of abnormal devices to the total number of electrical devices to obtain the proportion of abnormal devices.

[0095] If the proportion of abnormal devices is less than or equal to the preset proportion, a secondary determination is made based on the average usage time of each device to determine the reasons for failure to meet the life cycle management plan for the electrical equipment.

[0096] If the proportion of abnormal devices is greater than the preset proportion, it is determined that the first preset average time interval does not meet the standard.

[0097] Specifically, in this embodiment, the preset quantity ratio is selected between the interval [0.1, 0.2].

[0098] Specifically, under the condition that it is determined that the first preset average time interval does not meet the standard, the difference between the number ratio of abnormal devices and the preset number ratio is calculated to obtain the number ratio difference, and the first preset average time interval is adjusted based on the number ratio difference, wherein the increase in the first preset average time interval is positively correlated with the number ratio difference.

[0099] In this embodiment, optionally,

[0100] Compare the quantity ratio difference with the first preset quantity ratio difference and the second preset quantity ratio difference,

[0101] If the quantity ratio difference is less than or equal to the first preset quantity ratio difference, the first preset average time interval is adjusted to 1.1 times the initial value;

[0102] If the quantity ratio difference is greater than the first preset quantity ratio difference and less than or equal to the second preset quantity ratio difference, the first preset average time interval is adjusted to 1.15 times the initial value;

[0103] If the quantity ratio difference is greater than the second preset quantity ratio difference, adjusting the first preset average time interval to 1.2 times the initial value;

[0104] The first preset quantity ratio difference is 0.1 times the preset quantity ratio, and the second preset quantity ratio difference is 0.2 times the preset quantity ratio.

[0105] Specifically, the reasons for determining failure of the life cycle management plan for electrical equipment based on the secondary determination of the average usage time of each device include:

[0106] Determine the cumulative operating time of each of the electrical equipment,

[0107] Calculate the average of the accumulated running time to get the average usage time.

[0108] If the average usage time is less than or equal to the preset average usage time, it is determined that the data collection is faulty and a sensor replacement notice is issued;

[0109] If the average usage time is greater than the preset average usage time, it is determined to revise the maintenance plan.

[0110] Specifically, in this embodiment, the preset average usage time is the maximum value of the optimal usage time of the corresponding electrical equipment determined based on big data.

[0111] Specifically, under the condition of determining whether to revise the maintenance plan, the difference between the average usage time and the preset average usage time is calculated to obtain the usage time difference, and each maintenance cycle is reduced based on the usage time difference, wherein the reduction in the maintenance cycle is positively correlated with the usage time difference.

[0112] In this embodiment, optionally,

[0113] Compare the usage time difference with the first preset usage time difference and the second preset usage time difference,

[0114] If the usage time difference is less than or equal to the first preset usage time difference, the maintenance period is adjusted to 0.95 times the initial value;

[0115] If the usage time difference is greater than the first preset usage time difference and less than or equal to the second preset usage time difference, the maintenance period is adjusted to 0.9 times the initial value;

[0116] If the usage time difference is greater than the second preset usage time difference, the maintenance period is adjusted to 0.8 times the initial value;

[0117] The first preset usage time difference is 0.1 to 0.15 times the preset average usage time, and the second preset usage time difference is 0.2 to 0.25 times the preset average usage time.

[0118] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0119] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A building electrical full life cycle management method based on digital twins, characterized by: include: Step S1, collecting and determining parameter information of electrical equipment in a building, the parameter information including: operating parameters and location parameters; Step S2: construct a digital twin model and establish an association mapping between each model and the corresponding electrical equipment; Step S3, determining a maintenance period for each electrical device according to the operating parameters of each electrical device, and recording the determined time node for performing maintenance on a single electrical device as an expected maintenance node for the electrical device; Step S4: monitoring the operating status of each electrical device in real time based on the digital twin model, and issuing a maintenance notice when an abnormality occurs in the operating parameters of the electrical device, and recording the time node of maintenance for a single electrical device as the actual maintenance node for the electrical device; Step S5: periodically counting the maintenance time nodes of each electrical device, calculating the time interval between the actual maintenance node and the expected maintenance node of each electrical device, analyzing whether the determination of the life cycle management plan for the electrical device is qualified based on the time interval, and when it is preliminarily determined that the determination of the life cycle management plan for the electrical device is unqualified, re-determining whether the determination of the life cycle management plan for the electrical device is qualified based on the time domain discreteness of the time interval, or analyzing the reason for the determination of the life cycle management plan for the electrical device being unqualified; In step S5, analyzing whether 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 device respectively, Calculate the average of each time interval to get the average time interval, If the average time interval is less than or equal to the first preset average time interval, determining 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, a preliminary determination is made that the determination of the life cycle management plan for the electrical equipment is unqualified, and a secondary determination is made as to 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, determining that the determination of the life cycle management plan for the electrical equipment is unqualified, and analyzing the reason for the unqualified determination of the life cycle management plan for the electrical equipment based on the average time interval; The secondary determination of whether 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 discreteness, If the time domain dispersion is less than or equal to a preset time domain dispersion, determining that the determination of the life cycle management plan for the electrical equipment is unqualified, and analyzing the reasons 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, determining that the determination of the life cycle management plan for the electrical equipment is unqualified, marking the abnormal device, and analyzing 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 device; The reasons for determining non-compliance with the life cycle management plan for electrical equipment based on the analysis of the physical distribution distance of abnormal equipment include: Record electrical equipment that exceeds the preset time interval as abnormal equipment, 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 anomaly in the single construction sub-area and a line maintenance notice is issued; If the average distribution interval is greater than the preset average distribution interval, determining that the determination of the life cycle management plan for the electrical equipment is unqualified, and analyzing the reasons for the unqualified determination of the life cycle management plan for the electrical equipment based on the average time interval; The reasons for determining nonconformance based on the average time interval analysis for the life cycle management plan of electrical equipment include: Calculating the difference between the average time interval and the second preset average time interval to obtain an average time interval difference, If the average time interval difference is less than or equal to the preset average time interval difference, a second determination is made as to the reason for failure of the life cycle management plan for the electrical equipment 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, determining the reason for the failure of the secondary determination of the life cycle management plan for the electrical equipment based on the average usage time of each device; The reasons for the secondary determination of the failure of the life cycle management plan for the electrical equipment based on the proportion of the number of abnormal devices include: 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, a secondary determination is made based on the average usage time of each device to determine the reasons for failure to meet the life cycle management plan for the electrical equipment. If the proportion of abnormal devices is greater than the preset proportion, it is determined that the first preset average time interval does not meet the standard.

2. The digital twin-based building electrical life cycle management method according to claim 1 is characterized in that: Under the condition that it is determined that the first preset average time interval does not meet the standard, the difference between the number ratio of abnormal devices and the preset number ratio is calculated to obtain the number ratio difference, and the first preset average time interval is adjusted based on the number ratio difference, wherein the increase in the first preset average time interval is positively correlated with the number ratio difference.

3. The digital twin-based building electrical life cycle management method according to claim 2 is characterized in that: The reasons for determining failure of the life cycle management plan for electrical equipment based on the secondary determination of the average usage time of each device include: Determine the cumulative operating time of each of the electrical equipment, Calculate the average of the accumulated running time to get the average usage time. If the average usage time is less than or equal to the preset average usage time, it is determined that the data collection is faulty and a sensor replacement notice is issued; If the average usage time is greater than the preset average usage time, it is determined to revise the maintenance plan.

4. The digital twin-based building electrical life cycle management method according to claim 3 is characterized in that: Under the condition of determining whether to revise the maintenance plan, the difference between the average usage time and the preset average usage time is calculated to obtain the usage time difference, and each maintenance cycle is reduced based on the usage time difference, wherein the reduction in the maintenance cycle is positively correlated with the usage time difference.

Images