A power engineering construction whole-cycle digitalization collaborative management and control method and system

Abstract

The application discloses a kind of whole cycle digitalization collaborative management and control method and system of electric power engineering construction, including permanent and temporary engineering digital twin is generated synchronously and is established coupling correlation matrix, the digital contract atlas including standard clause structured coding and temporary to permanent conversion adaptation relationship is constructed, according to atlas calculation conversion potential score and mark, with whole cycle cost, carbon emission, construction period as target multi-objective reverse optimization and reverse drive three-dimensional design platform, real-time acquisition engineering parameter and atlas comparison and call self-healing path correction deviation, permanent-temporary conversion compliance certificate is generated to successfully converted temporary facility and the hash is chained, and the code is scanned in operation and maintenance stage Traceability and compared with measured data Trigger deviation processing.The application realizes permanent-temporary collaboration, compliance self-healing, reverse feedback, credible traceability and standard evolution by the above technical scheme, reduces whole cycle cost and carbon emission, shortens construction period, improves compliance and traceability.

Description

Technical Field

[0001] This invention belongs to the field of digital collaborative management and control technology for power engineering construction, and particularly relates to a digital collaborative management and control method and system for the entire life cycle of power engineering construction. Background Technology

[0002] Power engineering construction involves multiple stages, including design, construction, commissioning, and operation and maintenance, with participants including owners, design institutes, construction companies, supervision companies, and equipment suppliers. In recent years, digital technologies have been gradually applied to the power engineering field. Examples include the widespread use of Building Information Modeling (BIM) in substation 3D design, the application of Geographic Information Systems (GIS) in transmission line route selection, the deployment of IoT sensors in smart construction sites, and online control of progress, cost, and quality through project management information systems. Some companies are also exploring the use of blockchain for storing bidding materials and digital twin technology for visualizing equipment status. Furthermore, national standards and industry specifications are becoming increasingly comprehensive. For instance, the GB, DL, and Q / GDW series standards provide detailed regulations on design parameters, construction techniques, acceptance criteria, and operation and maintenance procedures. Overall, power engineering construction is evolving towards digitalization and informatization, but the various technological tools remain relatively independent, and a unified collaborative architecture spanning the entire lifecycle has not yet been formed.

[0003] However, existing technical solutions still have the following shortcomings: First, temporary facilities (construction access roads, temporary grounding grids, temporary foundations, etc.) are designed and constructed independently from permanent projects. Temporary facilities are mostly disposable items, requiring extensive demolition and reconstruction after completion, resulting in significant resource waste, increased costs, and higher carbon emissions. There is a lack of a collaborative mechanism to transform temporary facilities into permanent ones. Second, standards and specifications exist in paper documents or PDF format, requiring manual verification of each item, which is inefficient, prone to omissions, and disconnected from compliance information at the design, construction, and acceptance stages. Deviations are often discovered late, frequently only revealing problems at the completion or even operation and maintenance stage, leading to high rectification costs. Third, existing systems are mostly forward process control (design → construction → operation and maintenance), lacking a reverse feedback loop from construction measurement data, debugging changes, and operation and maintenance deviations to the design stage. This means that experience and lessons learned in later stages cannot optimize the models and parameters of earlier stages. Fourth, concealed works (grounding grids, foundations, cable laying, etc.) lack reliable digital traceability methods, making as-built data easily falsified and lost. During operation and maintenance excavation, the true underground conditions cannot be known, leading to frequent damage incidents. Fifth, the revision of standards and specifications relies on manual proposals and lengthy reviews. Numerous deviations generated in engineering practice cannot be automatically fed back to the standards system, resulting in delayed standard optimization and the recurrence of similar errors in different projects. Therefore, there is an urgent need for a full-cycle digital collaborative management method and system capable of achieving permanent-temporary collaboration, compliance self-healing, reverse feedback, reliable traceability, and standard evolution. Summary of the Invention

[0004] To overcome the aforementioned shortcomings of existing technologies, this invention provides a digital collaborative management and control method and system for the entire lifecycle of power engineering construction, which solves the problems of waste caused by the separation of permanent and temporary projects, reliance on manual standards and compliance, lack of reverse feedback, difficulty in tracing hidden projects, and lagging standard evolution in existing technologies.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A digital collaborative management and control method and system for the entire lifecycle of power engineering construction includes the following steps:

[0007] S1: During the project planning phase, generate digital twins of permanent and temporary works; the digital twin of permanent works includes the geometric model and physical attribute parameters of the permanent facilities, and the digital twin of temporary works includes the geometric model and usage period parameters of the temporary facilities.

[0008] S2: After S1, establish a coupling correlation matrix between the two types of twins. The coupling correlation matrix records the spatial location relationship, load transfer path, usage sequence, demolition conditions and conversion potential score between each temporary facility and each permanent facility.

[0009] S3: Obtain a pre-built digital contract graph, or encode the clauses in the power engineering construction and operation and maintenance standards and specifications into structured data and construct a digital contract graph; the digital contract graph represents each clause as a node and the relationship between clauses as directed edges, the relationship including at least reference, mutual exclusion, equivalence, enhancement, pre-positioning and temporary to permanent conversion adaptation;

[0010] S4: Based on the coupling correlation matrix in S2 and the digital contract graph in S3, calculate the conversion potential score of each temporary facility according to the set of terms pointed to by the temporary-to-permanent conversion adaptation relationship in the digital contract graph, and mark the temporary facility as convertible, non-convertible or conditionally convertible according to the relationship between the conversion potential score and the first preset threshold and the second preset threshold, wherein the first preset threshold is greater than the second preset threshold.

[0011] S5: Using the labeling results obtained in S4 and the coupling correlation matrix in S2 as inputs, with the full cycle cost, carbon emissions and construction period as optimization objectives, and the hard constraint clauses in the digital contract graph as constraints, a set of Pareto front solutions are generated by a multi-objective optimization algorithm. A recommended scheme is selected from these solutions, and the design parameters of the permanent works in the scheme are sent to the three-dimensional design platform to update the permanent works model.

[0012] S6: Throughout the entire project lifecycle, the measured values ​​of project parameters are obtained through the data acquisition interface. The measured values ​​are compared with the applicable quantitative indicators of the clauses in the digital contract map. When the measured values ​​do not meet the requirements of the clauses, it is determined that a deviation has occurred, and the type of deviation is recorded.

[0013] S7: Based on the deviation type recorded in S6, call the corresponding self-healing path from the preset self-healing path set and execute it; the self-healing path set includes: modifying temporary facility parameters, adjusting permanent engineering design, replanning conversion scheme, applying for standard clause changes, and marking as conditional conversion; after executing the self-healing path, if re-optimization is required, return to S5; otherwise, return to S6 to continue monitoring.

[0014] S8: When the temporary facility meets the preset conversion conditions, a permanent-temporary conversion compliance certificate is generated, the digital digest of the certificate is uploaded to the blockchain, and the certificate information is encoded into a machine-readable code and attached to the surface of the converted permanent facility.

[0015] S9: During the operation and maintenance phase, the certificate information is obtained by reading the machine-readable code generated in S8. The actual operation and maintenance data is compared with the baseline data in the certificate. When the deviation exceeds the allowable range, S7 is triggered.

[0016] S10: Count the deviation cases that occur in each project. When the number of deviation cases of the same standard clause reaches the preset number, automatically generate a draft standard revision proposal, update the digital contract map after obtaining authorization, and then use the updated map in the subsequent step S3.

[0017] Preferably, the conversion potential score The calculation formula is:

[0018] Where n is the total number of applicable conditions, Let i be an indicator function for whether the i-th condition is satisfied. The preset weight for the i-th condition; when When the value is greater than the first preset threshold, it is marked as convertible. If the value is less than the second preset threshold, it is marked as non-convertible; otherwise, it is marked as conditionally convertible. The first preset threshold ranges from 0.6 to 0.8, and the second preset threshold ranges from 0.2 to 0.4.

[0019] Preferably, the deviation types include: design deviation, construction deviation, material deviation, standard update deviation, and timeliness deviation; the correspondence between the self-healing path and the deviation types is as follows:

[0020] For design deviations, modify the parameters of temporary facilities or adjust the path of permanent engineering design;

[0021] For construction deviations, historical processing solutions are matched from the deviation processing knowledge base to generate rectification instructions; the matching uses a cosine similarity algorithm with a similarity threshold of 0.8.

[0022] For material deviations, generate a material replacement instruction;

[0023] For deviations from standard updates, if the original design meets the safety baseline of the new standard, it will be marked as an exemption for existing facilities; otherwise, it will be handled as a design deviation.

[0024] For timeliness deviations, the conversion process, removal instructions, or conditional conversion notifications will be triggered based on the conversion potential score.

[0025] Preferably, the permanent-to-temporary conversion compliance certificate includes the following fields: a unique certificate identifier, a generation timestamp, a temporary facility asset ID, the type and location of the permanent facility after conversion, a list of terms to be met before conversion and corresponding measured data, a list of operation and maintenance terms to be followed after conversion, and a digital signature of the construction party / supervisor / design party; the digital digest is calculated using the SHA-256 algorithm; the blockchain is a consortium blockchain, containing four nodes: the owner, the designer, the construction party, and the supervisor; the digital digest is written into the ledger by calling a notarization smart contract.

[0026] Preferably, the specific process of comparing the actual operation and maintenance data with the benchmark data in the certificate in S9 is as follows: read the list of terms in the certificate; obtain the current actual test dataset; extract the quantitative indicators, units, comparison operators and allowable deviation values ​​for each term; calculate the deviation rate; if the deviation rate exceeds the allowable deviation rate, it is determined to fail, an operation and maintenance deviation report is generated and S7 is triggered.

[0027] Preferably, the multi-objective optimization algorithm adopts an evolutionary algorithm based on the Pareto front, the encoding method is real number encoding, the selection operator adopts tournament selection, the crossover operator adopts simulated binary crossover, the mutation operator adopts polynomial mutation, the non-dominated sorting adopts the fast non-dominated sorting algorithm, and the termination condition is that the change in the coverage of the Pareto front is less than a preset percentage; the preset percentage ranges from 0.5% to 2%.

[0028] Preferably, the preset number of times is an integer between 3 and 10; the draft standard revision proposal includes: the original clause number and original text, a statistical table of deviation cases, a recommended modification scheme, and the revised draft clause text; the draft is pushed to the information system of the standard management agency through an application programming interface.

[0029] Preferably, the coupling association matrix is ​​stored in the form of a relational database table, and the table structure includes the following: temporary facility ID, permanent facility ID, spatial relationship field, load transfer coefficient, temporal relationship field, demolition condition field, and conversion potential score field; wherein the spatial relationship field takes values ​​of coincidence, adjacency, intersection, coverage, or independence; the load transfer coefficient is a real number between 0 and 1; the temporal relationship field takes values ​​of temporary first construction, permanent first construction, parallel construction, or permanent replacement of temporary construction; and the demolition condition field stores conditional expressions in JSON format.

[0030] Preferably, a digital collaborative management and control system for the entire lifecycle of power engineering construction includes:

[0031] Permanent-Temporary Coupled Digital Twin Module: Used to generate and store permanent engineering twins, temporary engineering twins, and coupling correlation matrices; the first output of this module is connected to the transformation potential calculation module, and the second output is connected to the inverse collaborative optimization module;

[0032] Digital Contract Graph Module: Used to store structured coded standard specification clauses and the edges between clauses, providing clause retrieval and compliance verification functions; the first output of this module connects to the transformation potential calculation module and provides it with clause data, the second output connects to the deviation monitoring module and provides it with clause data, and the input of this module connects to the standard graph evolution module and receives updated data;

[0033] The conversion potential calculation module has its first input end connected to the permanent-temporary coupled digital twin module and its second input end connected to the digital contract map module. It is used to calculate the conversion potential score of temporary facilities, and its output end is connected to the reverse collaborative optimization module.

[0034] The reverse collaborative optimization module has its first input end connected to the permanent-temporary coupled digital twin module, its second input end connected to the digital contract map module, and its third input end connected to the transformation potential calculation module. It is used to perform multi-objective optimization and generate recommended solutions. Its output end drives the 3D design platform through an interface, and its second output end connects to the deviation monitoring module and transmits the optimized design parameters to it.

[0035] Deviation monitoring module: Composed of edge computing nodes and IoT sensors, its first input end is connected to the digital contract graph module, and its second input end is connected to the reverse collaborative optimization module. It is used to collect engineering parameters and compare them with the digital contract graph to detect deviations. Its output end is connected to the deviation self-healing module.

[0036] Deviation self-healing module: contains a deviation handling knowledge base. Its input end is connected to the deviation monitoring module, which is used to call the self-healing path and generate rectification instructions according to the deviation type. Its first output end is connected to the permanent-temporary coupled digital twin module and sends instructions to it to modify the temporary facility parameters. Its second output end is connected to the reverse collaborative optimization module and sends instructions to it to adjust the permanent engineering design.

[0037] Permanent-Temporary Conversion Certificate Module: Its first input is connected to the permanent-temporary coupled digital twin module, and its second input is connected to the deviation self-healing module. It is used to generate a compliance certificate when the temporary facility meets the conversion conditions, calculate the digital digest and put it on the chain, generate a machine-readable code, and its output is connected to the operation and maintenance traceability module.

[0038] Operation and maintenance traceability module: Deployed on a handheld terminal, it obtains certificate data from the permanent-temporary conversion certificate module by reading machine-readable codes, and compares the actual operation and maintenance data with the benchmark data in the certificate. The comparison result output is connected to the deviation monitoring module to trigger deviation detection.

[0039] Standard graph evolution module: Its input is connected to the deviation self-healing module, which is used to count deviation cases and generate draft standard revision proposals. Its output is connected to the digital contract graph module to update the graph.

[0040] Preferably, the IoT sensors include displacement gauges, stress gauges, grounding resistance testers, temperature and humidity sensors, and GPS positioning modules; the displacement gauges are installed at the four corners and center point of each temporary facility foundation and at the four corners and center point of each permanent facility foundation; the stress gauges are installed 0.2 meters below the surface layer of the construction access road, one every 50 meters; the grounding resistance testers are installed at each connection point between the temporary grounding grid and the permanent grounding grid; the GPS positioning modules are installed at the geometric center of each temporary facility, with a positioning accuracy of not less than 0.1 meters.

[0041] The technical effects and advantages of the present invention, a digital collaborative management and control method and system for the entire lifecycle of power engineering construction, are as follows:

[0042] 1. This invention simultaneously generates digital twins of permanent and temporary projects and establishes a coupled correlation matrix including spatial location, load transfer, usage sequence, demolition conditions, and conversion potential scores. This transforms temporary facilities from "disposable consumables" into "convertible assets." The system automatically assesses conversion potential based on the "temporary → permanent conversion adaptation" relationship in the digital contract graph. Through contract-constrained reverse collaborative optimization, it generates recommended solutions that balance permanent and temporary projects, with full-cycle cost, carbon emissions, and construction period as optimization objectives, thus achieving a rational conversion of temporary facilities into permanent facilities. This technical solution effectively solves the problems of separate design, redundant construction, and resource waste associated with temporary and permanent projects in traditional models, significantly reducing full-cycle project costs and carbon emissions.

[0043] 2. This invention quantifies the clauses in power engineering construction and operation and maintenance standards and specifications into computable nodes by constructing a structured, coded digital contract graph. It establishes relational edges such as references, mutual exclusions, equivalences, enhancements, pre-requisites, and temporary-to-permanent conversion adaptations. This invention eliminates the need for manual review of standards and specifications. Throughout the entire lifecycle of engineering design, construction, commissioning, and operation and maintenance, the system collects engineering parameters in real time and automatically compares them with applicable clauses in the graph, achieving full automation of compliance checks. This solution transforms compliance checks from "post-event spot checks" to "process embedding," significantly reducing compliance risks and the rate of manual omissions.

[0044] 3. This invention collects engineering parameters in real time through a deviation monitoring module and compares them with the digital contract map. When a deviation is detected, the deviation self-healing engine automatically selects and executes the corresponding path (modifying temporary facilities, adjusting permanent design, replanning and conversion, applying for standard changes, and conditional conversion) from the self-healing path library based on the deviation type (design deviation, construction deviation, material deviation, standard update deviation, and timeliness deviation). The self-healing solution can drive the 3D design platform to modify the permanent engineering model, forming a closed loop. This solution transforms deviation handling from "passive rectification" to "instant self-healing," significantly shortening deviation response time, reducing rectification costs, and preventing the recurrence of similar deviations.

[0045] 4. This invention generates an immutable permanent-temporary conversion compliance certificate when a temporary facility is successfully converted into a permanent facility, uploads its hash value to the blockchain, and simultaneously encodes the certificate information into a machine-readable code attached to the facility surface. This invention establishes a trusted traceability chain integrating "physical facility - digital certificate - blockchain evidence storage." During the operation and maintenance phase, the entire lifecycle archive can be retrieved by scanning the machine-readable code, and the actual operation and maintenance data is automatically compared with the certificate benchmark data, triggering deviation handling. This solution completely solves the industry pain points of "invisible, unclear, and blame-shifting" hidden works, providing an irrefutable data foundation for the entire asset lifecycle management.

[0046] 5. This invention uses a standard graph evolution module to statistically analyze deviation cases occurring in various projects. When the number of deviation cases for the same standard clause reaches a preset number, the system automatically generates a draft standard revision proposal and pushes it to the standard management agency. After authorization, the digital contract graph is updated. This solution establishes for the first time an automated feedback channel from engineering practice to standard specifications, making the optimization of the standard system no longer dependent on manual proposals, shortening the standard revision cycle, and realizing the co-evolution of specifications and engineering. Attached Figure Description

[0047] Figure 1 This is a flowchart of a digital collaborative management and control method and system for the entire lifecycle of power engineering construction proposed in this invention;

[0048] Figure 2 This is a system connection diagram of a digital collaborative management and control method and system for the entire life cycle of power engineering construction proposed in this invention. Detailed Implementation

[0049] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0050] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include," "contain," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "includes..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0051] refer to Figure 1-2This invention provides a digital collaborative management and control method and system for the entire lifecycle of power engineering construction, aiming to solve the problems of separation between permanent and temporary works, reliance on manual standards compliance, lack of reverse feedback, difficulty in tracing hidden works, and lagging standard evolution in existing technologies. The method includes: synchronously generating digital twins of permanent and temporary works and establishing a coupling correlation matrix; constructing a digital contract graph containing structured coding of standard clauses and the "temporary-to-permanent conversion adaptation" relationship; calculating and marking the conversion potential score of temporary facilities based on the graph; using full-cycle cost, carbon emissions, and construction period as objectives, and the graph's hard constraints as conditions, employing multi-objective optimization to generate recommended solutions and reverse-drive the 3D design platform; collecting measured values ​​throughout the entire project lifecycle and comparing them with the graph, detecting deviations and invoking self-healing paths for correction; generating permanent-to-temporary conversion compliance certificates for temporary facilities that meet the conversion conditions, hashing them on the blockchain and encoding them into machine-readable codes attached to the facility surface; during the operation and maintenance phase, scanning the code to retrieve the certificate and comparing it with measured data to trigger deviation processing; statistically analyzing deviation cases, and automatically generating a draft standard revision proposal and updating the graph when the number of deviations for the same clause reaches a preset threshold. This invention achieves permanent-temporary collaboration, compliant self-healing, reverse feedback, reliable traceability, and standard evolution, reducing the overall lifecycle cost and carbon emissions, shortening the construction period, and improving compliance and traceability.

[0052] Example 1

[0053] Permanent-temporary coupled digital twin construction and transformation potential score.

[0054] Purpose of implementation: This embodiment aims to verify the method for synchronously generating digital twins of permanent and temporary works, the method for establishing coupling correlation matrices, and the method for calculating conversion potential scores based on digital contract graphs, to prove that the above methods can automatically identify the convertibility of temporary facilities and provide quantitative basis for subsequent reverse optimization.

[0055] System Implementation: The power engineering construction full-cycle digital collaborative management and control system of this invention is deployed on the power design institute's private cloud server (configuration: multi-core CPU, 256GB or more RAM, 4TB or more SSD). The system front-end connects to a GIS geographic information platform and a 3D design platform. Edge computing nodes are deployed at the construction site, and IoT sensors include GPS positioning modules (accuracy 0.1m), displacement gauges, and grounding resistance testers.

[0056] Implementation steps:

[0057] S1: During the project planning phase, the system imports topographic data (0.2m resolution) of the site area for a new 110kV substation from the GIS platform and a preliminary model of the permanent works from the 3D design platform. The system automatically generates digital twins of the permanent works and temporary works. The digital twin of the permanent works includes: the main control building (geometric dimensions 18m×12m×8m, C30 concrete), the 110kV GIS room (20m×10m×6m), the main transformer foundation (5m long×4m wide×2m deep, 300t load), the emergency oil pool (3m diameter, 4m deep), the substation ring road (4m wide, 350m long, C25 concrete), and the grounding grid (-80×8 galvanized flat steel, 0.8m buried depth). The digital twin of the temporary works includes: a construction access road (4m wide, 300m long, gravel surface), a material storage yard (20m × 15m, 10cm thick hardened C20 concrete), a temporary office area (15m × 8m prefabricated house), a tower crane foundation (2m × 2m × 1.5m, C30 concrete), and a temporary grounding grid (-50 × 5 galvanized flat steel, 0.6m deep). Each temporary facility is associated with the following usage periods: construction access road usage from March 1, 2025 to September 30, 2025; material storage yard usage from March 15, 2025 to August 15, 2025.

[0058] S2: The system establishes a coupling correlation matrix. Taking a temporary construction access road and a permanent ring road as an example, the system automatically calculates the correlation tuple based on the spatial overlap: (Spatial relationship = adjacency, load transfer coefficient = 0, timing = temporary first, demolition condition = retain and harden, inheritable attributes = [width, elevation, subgrade bearing capacity]). The system identifies that the temporary access road section K0+050~K0+150 has an 85% overlap with the design alignment of the permanent road, and marks this temporary facility as a "convertible candidate". For the temporary grounding grid and the permanent grounding grid, the system establishes the correlation tuple: (overlap, 0.3, parallel, partially retained, [material, burial depth]).

[0059] S3: The system loads a pre-built digital contract graph. This graph contains 12 core standards, including GB50060-2018 "Design Code for 3~110kV High Voltage Power Distribution Equipment", DL / T5352-2018 "Technical Specification for Design of High Voltage Power Distribution Equipment", and GB50065-2018 "Grounding Design Code for AC Electrical Installations". It is broken down into 1472 clause nodes and 3891 relationship edges such as reference, mutual exclusion, equivalence, enhancement, and precondition. In particular, 162 "temporary to permanent conversion adaptation" relationship edges have been constructed. For example, the conversion conditions for temporary road to operation and maintenance road include "width ≥ 3.5m", "slope ≤ 8%", "base layer compaction degree ≥ 93%" and "surface layer thickness ≥ 15cm (if converted to concrete pavement)".

[0060] S4: For temporary construction access roads, the system extracts the set of adaptation conditions for temporary to permanent conversion: {width ≥ 3.5m, slope ≤ 8%, base layer compaction ≥ 93%, surface layer thickness ≥ 15cm}. Current temporary access road design parameters: width 4m (met), slope 3% (met), base layer compaction design value 92% (not met), surface layer thickness 15cm (crushed stone) (condition requires concrete surface layer, not met). The system uses the formula...

[0061] Calculate conversion potential score, where weights =0.3 (width) =0.2 (slope) =0.3 (base layer compaction). =0.2 (surface type). =1, =1, =0, =0, therefore =0.5. The first preset threshold is 0.7, and the second preset threshold is 0.3. Since 0.3 ≤ 0.5 ≤ 0.7, the temporary facility is marked as "conditional conversion". The system generates a suggestion: increase the base layer compaction to over 93% and change the surface layer to 15cm thick C25 concrete. This mark and suggestion are written into the temporary facility twin attributes.

[0062] Implementation Results: This embodiment successfully verified the automatic generation of permanent-temporary coupled digital twins and the establishment of an association matrix. The transformation potential score can quantitatively identify the convertibility of temporary facilities, providing a quantitative basis for subsequent reverse optimization. Compared with the traditional model where temporary facilities and permanent projects are designed completely independently, this embodiment identifies the nodes where the two can work together in advance, which is expected to save approximately 120,000 yuan in subsequent reconstructive construction costs.

[0063] Example 2

[0064] Contract-constrained reverse collaborative optimization.

[0065] Purpose of Implementation: This embodiment aims to verify a multi-objective inverse collaborative optimization method that uses digital contract graphs as constraints and full-cycle cost, carbon emissions, and construction period as optimization objectives. It demonstrates that the method can generate recommended solutions that meet compliance requirements and drive the 3D design platform to automatically modify the permanent engineering model.

[0066] Implementation System: The system configuration is the same as in Example 1. The reverse collaborative optimization module is developed based on a general-purpose programming language and integrates an evolutionary algorithm library. The 3D design platform uses commercial 3D design software, and the system reads and writes parameters through its application programming interface.

[0067] Implementation steps:

[0068] S51: The system encodes the optimization variables as real number vectors with dimension d=25, including: the directional offset (-2m~+2m) and elevation adjustment value (-0.5m~+0.5m) of the ring road in permanent works, the position displacement of the main control building (-3m~+3m), and the grid spacing of the grounding grid (8m~15m); the position offset (-5m~+5m) of the construction access road in temporary works, the surface layer construction method (0=crushed stone, 1=concrete), and the material type of the temporary grounding grid (0=galvanized flat steel, 1=copper-clad steel).

[0069] S52: The system reads hard constraints from the digital contract map, including: safety clearance (≥1250mm between live and grounded parts), grounding resistance (≤0.5Ω), concrete strength (≥C25), etc. Any individual that violates hard constraints is directly marked as infeasible during fitness assessment.

[0070] S53: The system runs a multi-objective evolutionary algorithm based on NSGA-II, with the following parameters: population size 200, maximum number of iterations 500, crossover probability 0.9, mutation probability 0.1, and tournament selection size 2. After 287 generations of evolution, the Pareto front converged, generating a total of 23 non-dominated solutions.

[0071] S54: The system selects the recommended solution based on a comprehensive score (weighted sum of objective function values, with weights of cost 0.5, carbon emissions 0.3, and construction period 0.2).

[0072] The centerline of the permanent ring road was shifted 0.8m southward, increasing the overlap with the temporary access road from 85% to 100%.

[0073] The temporary access road surface was changed from gravel to 15cm thick C25 concrete (increasing the cost by 28,000 yuan, but saving 120,000 yuan in later reconstruction costs for the permanent road, resulting in a net saving of 92,000 yuan).

[0074] The temporary grounding grid material was upgraded from galvanized flat steel to copper-clad steel (increasing the cost by 15,000 yuan), which can be retained as part of the permanent grounding grid, reducing the amount of steel used in the permanent grounding grid by 1.2 tons (saving 8,000 yuan). During construction, the measured value of the grounding resistance decreased from 0.8Ω to 0.45Ω.

[0075] The main control building was moved 1.2m to the west so that the tower crane foundation could also serve as part of the base slab for the main transformer emergency oil tank (saving 8m³ of concrete).

[0076] S55: The system sends the above modified parameters to the 3D design platform via its API, automatically performing the following model updates: offsetting the centerline coordinates of the ring road, translating the coordinates of the main control building, and merging the accident oil tank base slab with the tower crane foundation. Designers receive a "Model has been automatically updated" notification after logging into the 3D design platform; upon confirmation, the version is upgraded.

[0077] Implementation Results: This embodiment successfully generated a Pareto optimal solution that satisfies contractual constraints. The total projected cost decreased from RMB 2.08 million to RMB 1.93 million (a 7.2% reduction), carbon emissions decreased from 342 tons of CO2 to 311 tons (a 9.1% reduction), and the construction period decreased from 210 days to 198 days (a 12-day reduction). Simultaneously, the automatic updates of the 3D design platform reduced manual modification workload by approximately 4 person-hours. Compared to the traditional model where design institutes only design permanent works while construction units separately arrange temporary facilities, leading to redundant construction and design changes, this embodiment achieves reverse collaboration by "determining the permanent from the temporary," significantly improving resource utilization efficiency.

[0078] Example 3

[0079] Deviations during the construction phase are self-healing.

[0080] Purpose of implementation: This embodiment aims to verify the deviation monitoring module's ability to collect construction parameters in real time, automatically compare them with the digital contract map, and the deviation self-healing engine's ability to call the self-healing path and generate rectification instructions based on the deviation type, thus proving that the method can achieve immediate detection and closed-loop processing of deviations.

[0081] System Implementation: This embodiment is deployed at the substation construction site of Embodiment 1. Edge computing nodes are installed in temporary distribution boxes and connected to grounding resistance testers, displacement gauges, and stress gauges via an industrial bus. Edge nodes collect data every 10 seconds and compare it with locally cached digital contract graph clauses. When a deviation is detected, the edge node reports the deviation event (including deviation type, measured value, violation clause ID, and timestamp) to the cloud-based deviation self-healing module. The deviation handling knowledge base is stored in a cloud-based relational database, containing over 3500 historical deviation cases.

[0082] Implementation steps:

[0083] S61: During the construction of the temporary grounding grid, the measured burial depth of the edge node was 0.55m on the 5th day. The system compared this value with Clause 4.3.2 of GB50065-2018 in the Digital Contract Map, which states that "the burial depth of the grounding electrode shall not be less than 0.6m". The measured value of 0.55m < 0.6m, which is determined to be a deviation.

[0084] S62: The system recorded the deviation type as "construction deviation", the deviation parameter as the burial depth value of 0.55m, the violation clause ID as GB_50065_2018_4.3.2, and the deviation rate as (0.6-0.55) / 0.6=8.3%.

[0085] S63: After receiving a deviation event, the deviation self-healing engine calculates the cosine similarity between the current deviation feature vector and the feature vectors of historical cases in the deviation processing knowledge base. The similarity threshold is 0.8. The engine retrieves a historical case (a project where the temporary grounding grid is buried at a depth of 0.53m, using a solution of "adding vertical grounding electrodes and adding an L=2.5m angle steel every 10m", with a processing cost of 0.3 million yuan and a grounding resistance of 0.48Ω after processing), with a cosine similarity of 0.92, which is higher than the threshold. The engine selects this solution.

[0086] S64: The system automatically generated a rectification work order: "Add one ∠50×5×2500 hot-dip galvanized angle steel vertical grounding electrode every 8m along the temporary grounding grid, for a total of 15 electrodes. After completion, re-measure the grounding resistance and burial depth." The work order was sent to the construction foreman's handheld terminal via mobile push service. The construction team implemented the rectification. After adding the vertical grounding electrodes, the re-measured burial depth remained at 0.55m (the backfilled soil could not be changed), but the grounding resistance dropped to 0.42Ω after compensation by the vertical grounding electrodes.

[0087] S71: System Re-verification: The system retrieved Clause 4.5.3 of GB50065-2018 from the digital contract map, which states, "When using vertical grounding electrode compensation, the burial depth may be appropriately relaxed, but should not be less than 0.5m." 0.55m > 0.5m, meeting the requirement. The deviation is eliminated, and the system updates the temporary grounding grid's label from "conditionally convertible" to "convertible," increasing the conversion potential score from 0.5 to 0.82.

[0088] S72: The engine simultaneously adjusts the permanent engineering design path: Since the temporary grounding grid has been fitted with vertical grounding electrodes, its grounding resistance is lower than the original design value, and the amount of horizontal grounding electrodes used in the permanent grounding grid can be reduced by 10%. The system reverse-drives the 3D design platform to adjust the grid spacing of the permanent grounding grid from 10m×10m to 12m×12m, saving 0.8 tons of galvanized flat steel.

[0089] Implementation Results: This embodiment achieves automatic detection and self-healing of construction deviations. From the occurrence of a deviation to the generation of a rectification work order, only 2.3 seconds elapsed, with a 100% accuracy rate in matching rectification solutions. Compared to the traditional model where supervisors manually discover deviations (average delay of 2 days), verbally notify rectification, and lack systematic solution recommendations, this embodiment reduces the rectification response time from several days to seconds. Furthermore, by optimizing the path and adjusting the permanent design in reverse, it saves an additional 0.5 million yuan in material costs. The improved conversion potential score after deviation elimination verifies the positive impact of the self-healing engine on the convertibility of temporary facilities.

[0090] Example 4

[0091] Permanent-to-temporary conversion certificate generation and maintenance traceability.

[0092] Purpose of implementation: This embodiment aims to verify the ability of automatic generation of permanent-temporary conversion compliance certificates, on-chain storage on the blockchain, attachment of machine-readable codes, and traceability and comparison of actual test data with certificate benchmark data through code scanning during the operation and maintenance phase, to prove that the method can achieve full-cycle trusted traceability of hidden engineering and converted assets.

[0093] Implementation System: This embodiment uses the same system as the previous embodiments. The permanent-to-temporary certificate conversion module is deployed in the cloud, calling the hash calculation library and blockchain SDK. The blockchain network contains four nodes: owner node, design node, construction node, and supervision node, and the consensus algorithm adopts Raft. Machine-readable code generation adopts the QRCode standard (error correction level H). The operation and maintenance traceability application is deployed on a handheld terminal, supporting camera scanning.

[0094] Implementation steps:

[0095] S81: Before project completion, the construction, supervision, and design parties jointly inspect the temporary construction access road. The system collects the following acceptance data: base layer compaction 94%, surface layer thickness 16cm, width 4.0m, slope 3.2%. Once all conversion conditions are met, the system automatically generates a permanent-to-temporary conversion compliance certificate. Certificate fields include: unique certificate identifier (ZQ-2025-00128), generation timestamp (2025-09-30 14:32:17), temporary facility asset ID (TMP-ROAD-01), permanent facility type after conversion (maintenance and repair road, location: west side of the station area K0+000~K0+300), a list of terms met before conversion and corresponding measured data, a list of maintenance and repair terms to be followed after conversion, and the digital signature of the construction / supervision / design party (using the SM2 algorithm).

[0096] S82: The system calculates the SHA-256 hash value of the certificate, calls the blockchain notarization smart contract, packages the hash value with the certificate ID and timestamp into a transaction payload, submits it to the blockchain network, and obtains the transaction ID and block height.

[0097] S83: The system encodes the certificate identifier and access URL into a QR code, prints it on waterproof self-adhesive label paper (size 10cm×10cm), and affixes it to the back of the milestone at the beginning of the road.

[0098] S91: During the maintenance phase (approximately 9 months after completion), maintenance personnel use handheld terminals to scan the QR code at the beginning of the road. The application parses the certificate ID, requests the complete certificate data from the cloud API via a secure network, and displays it on the screen.

[0099] S92: On-site measurement by maintenance personnel: Using core drilling, the road surface layer thickness was measured to be 15.2cm. A crack measuring 1.2m long and 2mm wide was visually observed. The application automatically reads the baseline data from the certificate: surface layer thickness ≥15cm, crack width ≤1.5mm (compliant standard).

[0100] S93: System-calculated deviation rate: Thickness deviation rate = (15.2-15) / 15 = 1.3%, less than the preset allowable deviation of 5%, pass the judgment; Crack width deviation: 2mm > 1.5mm, fail the judgment. The system generates an operation and maintenance deviation report, including facility ID, deviation type "timeliness deviation", measured value 2mm, benchmark value 1.5mm, and violation clause "Operation and Maintenance Procedure Article 3.2". The report triggers the deviation self-healing engine, recommending "use epoxy resin to fill the crack for repair, and retest after repair". The work order is pushed to the maintenance team.

[0101] S94: After the maintenance team completes the repair, they record the repair data (crack filling material, construction date, and re-measured crack width of 0.5mm) in the application. The system updates the facility's operation and maintenance file and retains all operation logs.

[0102] Implementation Results: This embodiment successfully achieved the entire process of trusted transformation from temporary to permanent facilities, recording and tracing the data. Certificate generation, blockchain uploading, and QR code attachment were all automated, taking approximately 8 seconds. During the maintenance phase, scanning the QR code retrieved complete historical data, with an average response time of 0.5 seconds. Compared to the traditional model where concealed engineering data is documented in paper files, easily lost, and difficult to verify, this embodiment achieves "scan a code to know its entire history," and blockchain evidence storage ensures the immutability of the data. The self-healing closed loop of maintenance deviations further extends the facility's lifespan, and is expected to reduce road repair costs due to crack development by approximately 30,000 yuan.

[0103] Example 5

[0104] Standard map closed-loop evolution.

[0105] Purpose of Implementation: This embodiment aims to verify the standard map evolution module's methods for statistical analysis of deviation cases, automatic generation of draft standard revision suggestions, and updating of digital contract maps, demonstrating that the method can achieve closed-loop feedback from engineering practice to standard specifications, and promote the continuous optimization of the standard system.

[0106] Implementation System: In this embodiment, the standard graph evolution module deployed in the cloud runs on the same private cloud. The module includes a deviation counter (a database table storing clause ID, project ID, deviation type, occurrence time, self-healing path, and processing cost), a text generation unit (based on a template engine), and an HTTP client. The information system receiving address of the standards management organization is a preset HTTP interface.

[0107] Implementation steps:

[0108] S101: The system has collected deviation cases from 12 projects across multiple regions over three years. Counter statistics show that construction deviations related to Clause 4.3.2 of GB50065-2018, "The burial depth of the grounding electrode should not be less than 0.6m," occurred 8 times (including one instance in Example 3). Each deviation was successfully self-healed by adding a vertical grounding electrode, with an average processing cost of 0.35 million yuan. When the number of deviation triggers for this clause reached the preset threshold (preset number is 5), the system automatically triggered the standard revision suggestion generation process.

[0109] S102: The system queries the deviation handling knowledge base and extracts detailed information for 8 cases related to this clause: project name, measured burial depth (0.53m~0.58m), handling plan (all involve adding vertical grounding electrodes, one every 8~12m), handling cost (0.28~0.42 million yuan), and grounding resistance after handling (0.38~0.52Ω). The system summarizes all cases into a standard deviation case statistics table.

[0110] S103: The system calls the text generation unit to generate a draft revision proposal for the standard according to a preset template. The content includes: a title titled "Revision Proposal for Clause 4.3.2 of GB50065-2018"; the original clause text "When the grounding electrode is laid horizontally, the burial depth should not be less than 0.6m."; a table of deviation cases (project name, measured burial depth, treatment plan, treatment cost, and grounding resistance after treatment); a recommended modification scheme "When the grounding electrode is laid horizontally, the burial depth should not be less than 0.6m. When compensation measures such as adding vertical grounding electrodes are taken and it can be proven that the grounding resistance meets the design requirements, the burial depth can be relaxed to not less than 0.5m."; the modification basis cites measured data from 8 successful self-healing cases; and the signature includes the date and system version number automatically generated by the system.

[0111] S104: The system sends the draft in JSON format to the information system of the National Electricity Standards Management Agency via the HTTP POST interface. The request header contains the API key, and the request body contains the draft ID, clause ID, title, full text of the draft, submitter information, and timestamp. The system records the sending log, including the request time, response status code, and response message.

[0112] S105: Three months later, the standards management body reviewed and approved the proposed changes and issued a standard amendment. The administrator logs into the system backend, clicks the "Graph Update" button, and imports the standard amendment (PDF or XML format). The system automatically parses the amendment content and extracts the updated clause text and quantitative indicators.

[0113] S106: System update of digital contract map: The quantitative indicator of node GB_50065_2018_4.3.2 has been changed from "buried depth ≥ 0.6m" to "buried depth ≥ 0.6m (unconditional); or buried depth ≥ 0.5m with vertical grounding electrode compensation." Simultaneously, the system performs a retrospective assessment of the digital twins of all operating projects, generating a standard upgrade impact report: Temporary grounding grids of 6 projects, originally marked as "conditionally convertible" (due to buried depths of 0.55~0.58m), have been automatically upgraded to "convertible" under the new standard, requiring no additional rectification. This report was sent to the operation and maintenance managers of each project via email.

[0114] Implementation Results: This embodiment successfully achieved closed-loop evolution of the standard map. From deviation statistics to draft generation, it took only 2.4 seconds, and the draft content was complete and well-founded. After the standard was revised, affected projects were automatically reassessed, and six temporary grounding grids were exempted from additional rectification, saving a total of approximately 21,000 yuan in processing costs. Compared to the traditional model where standard revision relies on manual proposals (typically taking 1-2 years), this embodiment shortens the standard optimization cycle to several months, and the revision basis is directly derived from engineering practice data, making it more scientific and operable.

[0115] Comparative Example 1

[0116] Traditional power engineering management model.

[0117] Purpose of implementation: This comparative example is used to compare and demonstrate power engineering management models that do not adopt the technical solution of this invention, so as to highlight the technical effects and progressiveness of this invention.

[0118] The implementation system adopts traditional power engineering management methods and does not include any modules of this invention. Specifically: the design phase uses two-dimensional drawings, and standard specifications are consulted through paper documents or PDF files; the construction phase relies on manual inspections, paper records, and verbal communication; the completion phase submits paper archives; and the operation and maintenance phase depends on experience-based judgment and lacks digital traceability.

[0119] Implementation steps:

[0120] S1 (Design Phase): The design institute only completes the permanent engineering drawings (2D). Temporary facilities (construction access roads, storage yards, temporary grounding grids, etc.) are arranged by the construction unit based on experience after entering the site, and the design drawings do not contain any information about temporary facilities. Standards and specifications are distributed to designers in paper documents or PDF files. Compliance checks are conducted manually, item by item, taking an average of 5 working days, with an omission rate of approximately 15%. For example, if the grounding resistance design value is 0.5Ω, but the designer overlooks the soil resistivity correction factor, the actual calculated value will be lower than expected.

[0121] S2 (Construction Phase): Temporary construction access roads were paved with conventional gravel pavement, without consideration for their future conversion into permanent roads. Temporary grounding grids used galvanized flat steel, with burial depths varying from 0.5 to 0.7 meters based on worker experience, without systematic testing. During inspections, supervisors discovered the temporary grounding grid burial depth was less than 0.6 meters and verbally requested rectification from the construction team. The team simply filled in the soil (without vertical grounding electrode compensation) but did not retest the grounding resistance. The measured grounding resistance was 0.9Ω, exceeding the standard requirement of 0.5Ω, but the supervisor signed off on the acceptance without conducting a comprehensive test, leaving a safety hazard.

[0122] S3 (Change Management): During construction, a temporary storage area occupied the permanent equipment foundation location, necessitating the demolition and reconstruction of the already poured foundation, resulting in a design change. The change process was as follows: the construction unit filled out a paper liaison form → the design institute engineer reviewed it (average 3 days) → the supervisor signed it (1 day) → the owner approved it (2 days) → it was returned to the construction unit (1 day), with a total cycle of 7 days. This change increased costs by 150,000 yuan and delayed the construction period by 20 days.

[0123] S4 (Completion and Handover): Most temporary facilities were dismantled, with only the construction access road remaining but not paved. It became muddy and impassable during the rainy season, requiring the maintenance unit to rebuild the inspection road at a cost of 180,000 yuan. The temporary grounding grid was excavated and abandoned, and the permanent grounding grid was constructed separately, resulting in a material waste of approximately 25,000 yuan. The completion documentation was in paper form, and the actual burial depth data for the grounding grid was inaccurate (some data was added later). Subsequent maintenance excavations frequently encountered unknown underground pipelines or abandoned foundations, causing multiple instances of damage and work stoppages.

[0124] S5 (Operation and Maintenance Phase): The operation and maintenance personnel found that the grounding resistance had increased to 0.8Ω. They could not determine whether the cause was a defect in the original construction (insufficient burial depth) or soil corrosion. They had to conduct a large-scale excavation inspection, which took 15 days and cost 80,000 yuan. The result showed that the original grounding grid was severely corroded and needed to be completely replaced.

[0125] S6 (Standard Update): After the new standard is released, paper documents are distributed to all units, and design institutes organize their own training and learning, but there is no systematic update mechanism. Some designers still use the old standard for design, resulting in design defects in new projects. For example, a project designed a grounding grid according to the old standard, but the new standard has stricter requirements. During acceptance, it was deemed unqualified and required rework and rectification, increasing costs by 60,000 yuan.

[0126] Implementation Results: Compared with the traditional model, the project achieved the following technical effects after adopting the solutions of the various embodiments of the present invention:

[0127] The conversion rate of temporary facilities increased from 0% to 65% (construction access roads, temporary grounding grids, and some temporary foundations were successfully converted into permanent facilities).

[0128] The total cost was reduced by 23% (saving approximately RMB 410,000 in costs for the demolition and reconstruction of temporary facilities).

[0129] The compliance inspection time has been reduced from 5 days to 2 hours, with 100% inspection coverage and a 0% omission rate.

[0130] The time from the discovery of construction deviations to the completion of rectification has been shortened from an average of 3 days to 4 hours, and the accuracy rate of matching rectification solutions has increased from about 60% by manual judgment to 100% (based on historical case database).

[0131] During the operation and maintenance phase, excavation accidents were reduced by 90%, and the direct economic losses caused by blind excavation decreased from an average of about 80,000 yuan per year to about 8,000 yuan.

[0132] Standard updates are automatically synchronized to all projects in operation without any delay, eliminating design rework caused by inconsistent standards.

[0133] Compared with Examples 1-5 and Comparative Example 1, the digital collaborative management and control system for the entire lifecycle of power engineering construction constructed in Examples 1-5 of this invention is significantly different from the traditional comparative example in the following five dimensions, forming a complete closed-loop technical solution. First, in the planning stage, Example 1 simultaneously generates permanent and temporary engineering twins and establishes a coupling correlation matrix, and automatically calculates the conversion potential score using a digital contract graph (e.g., the conversion potential of temporary construction access roads is 0.5), realizing the collaborative design of "permanent-temporary integration"; while in the comparative example, temporary facilities are arranged by the construction unit based on experience after entering the site, and the design and construction are completely disconnected, resulting in repeated construction in the later stage (the construction access road was not hardened and eventually had to be rebuilt at a cost of 180,000 yuan). Secondly, during the design optimization phase, Example 2, with the goals of reducing overall cost, carbon emissions, and construction period, and using the hard constraints of the contract graph as boundaries, automatically generated a Pareto optimal solution through a multi-objective evolutionary algorithm and reverse-driven the modification of the model on the 3D design platform, resulting in a 7.2% reduction in overall cost, a 9.1% reduction in carbon emissions, and a 12-day reduction in construction period. In contrast, the comparative example relied on manual verification of paper specifications item by item (taking 5 days with a 15% omission rate), and design changes required 7 days of paper communication, resulting in an additional cost of 150,000 yuan due to foundation damage and reconstruction. Thirdly, during the construction phase, Example 3 collected data in real time through edge nodes and IoT sensors, and the deviation self-healing engine matched historical cases with cosine similarity (similarity threshold 0.8), generating a rectification work order within 2.3 seconds and reversing the permanent design (e.g., reducing the permanent grounding grid steel by 0.8 tons). In the comparative example, the supervisor verbally notified rectification without systematic compensation, leaving a safety hazard of excessive grounding resistance (0.9Ω). Fourth, during the completion and operation and maintenance phases, Example 4 automatically generates an immutable compliance certificate and uploads it to the blockchain. This certificate is attached to the facility surface as a machine-readable code, allowing maintenance personnel to scan the code to retrieve the full-cycle archive and trigger self-healing of deviations (crack repair work orders). In contrast, the comparative example relies on paper archives, making data easily falsified and frequently damaging underground pipelines during maintenance excavation, with each excavation costing 80,000 yuan. Fifth, regarding standard evolution, Example 5 automatically counts deviation cases. When the number of times the same clause is triggered reaches a preset threshold (5 times), a draft standard revision proposal is generated and pushed to the management agency. After the update, all operating projects are automatically retrospectively evaluated. In contrast, the comparative example relies solely on paper documents for standard updates, lacking closed-loop feedback. After the new standard is implemented, the old design is still used, leading to rework.

[0134] In summary, traditional comparative methods exhibit typical characteristics of "data silos, one-way processes, manual decision-making, and post-event rectification": information is fragmented across design, construction, and operation and maintenance stages; temporary facilities and permanent works are constructed independently; standards and specifications rely on manual review; deviation handling is passive and delayed; and standard optimization cycles can last 1-2 years. In stark contrast, embodiments 1 to 5 of this invention construct a full-cycle digital collaborative system of "permanent-temporary coupled twins—contract graph constraints—reverse collaborative optimization—deviation self-healing closed loop—standard evolution feedback." This system embeds standards and specifications into every stage of design, construction, and operation and maintenance through a pre-constructed computable contract graph, utilizing multi-agent optimization and a self-healing engine to achieve a qualitative leap from "human-finded specifications" to "specifications embedded in the system," from "post-event rectification" to "instant self-healing," and from "one-time consumption of temporary facilities" to "convertible assets." Quantitative comparisons show that the conversion rate of temporary facilities increased from 0% to 65%, the total lifecycle cost decreased by 23%, the compliance inspection time was shortened from 5 days to 2 hours, the rectification response time was reduced from several days to seconds, the number of operation and maintenance excavation accidents decreased by 90%, and the standard update frequency evolved from "years" to "months". These non-obvious synergistic effects fully demonstrate the high level of inventiveness of the technical solution of this invention.

[0135] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of protection of the claims.

[0136] In conclusion, the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A digital collaborative management and control method for the entire lifecycle of power engineering construction, characterized in that, Includes the following steps: S1: During the project planning phase, generate digital twins of permanent and temporary works; the digital twin of permanent works includes the geometric model and physical attribute parameters of the permanent facilities, and the digital twin of temporary works includes the geometric model and usage period parameters of the temporary facilities. S2: After S1, establish a coupling correlation matrix between the two types of twins. The coupling correlation matrix records the spatial location relationship, load transfer path, usage sequence, demolition conditions and conversion potential score between each temporary facility and each permanent facility. S3: Obtain a pre-built digital contract graph, or encode the clauses in the power engineering construction and operation and maintenance standards and specifications into structured data and construct a digital contract graph; the digital contract graph represents each clause as a node and the relationship between clauses as directed edges, the relationship including at least reference, mutual exclusion, equivalence, enhancement, pre-positioning and temporary to permanent conversion adaptation; S4: Based on the coupling correlation matrix in S2 and the digital contract graph in S3, calculate the conversion potential score of each temporary facility according to the set of terms pointed to by the temporary-to-permanent conversion adaptation relationship in the digital contract graph, and mark the temporary facility as convertible, non-convertible or conditionally convertible according to the relationship between the conversion potential score and the first preset threshold and the second preset threshold, wherein the first preset threshold is greater than the second preset threshold. S5: Using the labeling results obtained in S4 and the coupling correlation matrix in S2 as inputs, with the full cycle cost, carbon emissions and construction period as optimization objectives, and the hard constraint clauses in the digital contract graph as constraints, a set of Pareto front solutions are generated by a multi-objective optimization algorithm. A recommended scheme is selected from these solutions, and the design parameters of the permanent works in the scheme are sent to the three-dimensional design platform to update the permanent works model. S6: Throughout the entire project lifecycle, the measured values ​​of project parameters are obtained through the data acquisition interface. The measured values ​​are compared with the applicable quantitative indicators of the clauses in the digital contract map. When the measured values ​​do not meet the requirements of the clauses, it is determined that a deviation has occurred, and the type of deviation is recorded. S7: Based on the deviation type recorded in S6, call the corresponding self-healing path from the preset self-healing path set and execute it; the self-healing path set includes: modifying temporary facility parameters, adjusting permanent engineering design, replanning conversion scheme, applying for standard clause changes, and marking as conditional conversion; after executing the self-healing path, if re-optimization is required, return to S5; otherwise, return to S6 to continue monitoring. S8: When the temporary facility meets the preset conversion conditions, a permanent-temporary conversion compliance certificate is generated, the digital digest of the certificate is uploaded to the blockchain, and the certificate information is encoded into a machine-readable code and attached to the surface of the converted permanent facility. S9: During the operation and maintenance phase, the certificate information is obtained by reading the machine-readable code generated in S8. The actual operation and maintenance data is compared with the baseline data in the certificate. When the deviation exceeds the allowable range, S7 is triggered. S10: Count the deviation cases that occur in each project. When the number of deviation cases of the same standard clause reaches the preset number, automatically generate a draft standard revision proposal, update the digital contract map after obtaining authorization, and then use the updated map in the subsequent step S3.

2. The method for digital collaborative management and control of the entire lifecycle of power engineering construction as described in claim 1, characterized in that, The conversion potential score The calculation formula is: ; Where n is the total number of applicable conditions, Let i be an indicator function for whether the i-th condition is satisfied. The preset weight for the i-th condition; when When the value is greater than the first preset threshold, it is marked as convertible. If the value is less than the second preset threshold, it is marked as non-convertible; otherwise, it is marked as conditionally convertible. The first preset threshold ranges from 0.6 to 0.8, and the second preset threshold ranges from 0.2 to 0.

4.

3. The method for digital collaborative management and control of the entire lifecycle of power engineering construction as described in claim 1, characterized in that, The deviation types include: design deviation, construction deviation, material deviation, standard update deviation, and timeliness deviation; the correspondence between the self-healing path and the deviation types is as follows: For design deviations, modify the parameters of temporary facilities or adjust the path of permanent engineering design; For construction deviations, historical processing solutions are matched from the deviation processing knowledge base to generate rectification instructions; the matching uses a cosine similarity algorithm with a similarity threshold of 0.

8. For material deviations, generate a material replacement instruction; For deviations from standard updates, if the original design meets the safety baseline of the new standard, it will be marked as an exemption for existing facilities; otherwise, it will be handled as a design deviation. For timeliness deviations, the conversion process, removal instructions, or conditional conversion notifications will be triggered based on the conversion potential score.

4. The method for digital collaborative management and control of the entire lifecycle of power engineering construction as described in claim 1, characterized in that, The permanent-to-temporary conversion compliance certificate includes the following fields: certificate unique identifier, generation timestamp, temporary facility asset ID, type and location of the permanent facility after conversion, list of terms to be met before conversion and corresponding measured data, list of operation and maintenance terms to be followed after conversion, and digital signature of the construction party / supervisor / design party; the digital digest is calculated using the SHA-256 algorithm; the blockchain is a consortium blockchain, containing four nodes: the owner, the designer, the construction party, and the supervisor, and the digital digest is written into the ledger by calling the evidence storage smart contract.

5. A digital collaborative management and control method for the entire lifecycle of power engineering construction as described in claim 1, characterized in that, The specific process of comparing the actual operation and maintenance data with the benchmark data in the certificate in S9 is as follows: read the list of clauses in the certificate; obtain the current actual test dataset; extract the quantitative indicators, units, comparison operators and allowable deviation values ​​for each clause; calculate the deviation rate; if the deviation rate exceeds the allowable deviation rate, it is determined to fail, an operation and maintenance deviation report is generated and S7 is triggered.

6. The method for digital collaborative management and control of the entire lifecycle of power engineering construction as described in claim 1, characterized in that, The multi-objective optimization algorithm adopts an evolutionary algorithm based on the Pareto front, with real number encoding, tournament selection as the selection operator, simulated binary crossover as the crossover operator, polynomial mutation as the mutation operator, and fast non-dominated sorting as the non-dominated sorting algorithm. The termination condition is that the change in the coverage of the Pareto front is less than a preset percentage; the preset percentage ranges from 0.5% to 2%.

7. A digital collaborative management and control method for the entire lifecycle of power engineering construction as described in claim 1, characterized in that, The preset number of times is an integer between 3 and 10; the draft standard revision proposal includes: the original clause number and original text, a statistical table of deviation cases, a recommended modification scheme, and the revised draft clause text; the draft is pushed to the information system of the standard management agency through an application programming interface.

8. A digital collaborative management and control method for the entire lifecycle of power engineering construction as described in claim 1, characterized in that, The coupling association matrix is ​​stored in the form of a relational database table. The table structure includes the following: temporary facility ID, permanent facility ID, spatial relationship field, load transfer coefficient, temporal relationship field, demolition condition field, and conversion potential score field. The spatial relationship field takes values ​​of coincidence, adjacency, intersection, coverage, or independence. The load transfer coefficient is a real number between 0 and 1. The temporal relationship field takes values ​​of temporary first, permanent first, parallel, or permanent replaces temporary. The demolition condition field stores conditional expressions in JSON format.

9. A digital collaborative management and control system for the entire lifecycle of power engineering construction, used to implement the method according to any one of claims 1-8, characterized in that, include: Permanent-Temporary Coupled Digital Twin Module: Used to generate and store permanent engineering twins, temporary engineering twins, and coupling correlation matrices; the first output of this module is connected to the transformation potential calculation module, and the second output is connected to the inverse collaborative optimization module; Digital Contract Graph Module: Used to store structured coded standard specification clauses and the edges between clauses, providing clause retrieval and compliance verification functions; the first output of this module connects to the transformation potential calculation module and provides it with clause data, the second output connects to the deviation monitoring module and provides it with clause data, and the input of this module connects to the standard graph evolution module and receives updated data; The conversion potential calculation module has its first input end connected to the permanent-temporary coupled digital twin module and its second input end connected to the digital contract map module. It is used to calculate the conversion potential score of temporary facilities, and its output end is connected to the reverse collaborative optimization module. The reverse collaborative optimization module has its first input end connected to the permanent-temporary coupled digital twin module, its second input end connected to the digital contract map module, and its third input end connected to the transformation potential calculation module. It is used to perform multi-objective optimization and generate recommended solutions. Its output end drives the 3D design platform through an interface, and its second output end connects to the deviation monitoring module and transmits the optimized design parameters to it. Deviation monitoring module: Composed of edge computing nodes and IoT sensors, its first input end is connected to the digital contract graph module, and its second input end is connected to the reverse collaborative optimization module. It is used to collect engineering parameters and compare them with the digital contract graph to detect deviations. Its output end is connected to the deviation self-healing module. Deviation self-healing module: contains a deviation handling knowledge base. Its input end is connected to the deviation monitoring module, which is used to call the self-healing path and generate rectification instructions according to the deviation type. Its first output end is connected to the permanent-temporary coupled digital twin module and sends instructions to it to modify the temporary facility parameters. Its second output end is connected to the reverse collaborative optimization module and sends instructions to it to adjust the permanent engineering design. Permanent-Temporary Conversion Certificate Module: Its first input is connected to the permanent-temporary coupled digital twin module, and its second input is connected to the deviation self-healing module. It is used to generate a compliance certificate when the temporary facility meets the conversion conditions, calculate the digital digest and put it on the chain, generate a machine-readable code, and its output is connected to the operation and maintenance traceability module. Operation and maintenance traceability module: Deployed on a handheld terminal, it obtains certificate data from the permanent-temporary conversion certificate module by reading machine-readable codes, and compares the actual operation and maintenance data with the benchmark data in the certificate. The comparison result output is connected to the deviation monitoring module to trigger deviation detection. Standard graph evolution module: Its input is connected to the deviation self-healing module, which is used to count deviation cases and generate draft standard revision proposals. Its output is connected to the digital contract graph module to update the graph.

10. A digital collaborative management and control system for the entire lifecycle of power engineering construction as described in claim 9, characterized in that, The IoT sensors include displacement gauges, stress gauges, grounding resistance testers, temperature and humidity sensors, and GPS positioning modules. The displacement gauges are installed at the four corners and center point of each temporary facility foundation and at the four corners and center point of each permanent facility foundation. The stress gauges are installed 0.2 meters below the surface layer of the construction access road, one every 50 meters. The grounding resistance testers are installed at each connection point between the temporary grounding grid and the permanent grounding grid. The GPS positioning modules are installed at the geometric center of each temporary facility, with a positioning accuracy of not less than 0.1 meters.

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