1359 results about "Power engineering" patented technology

The invention discloses an intelligent cable digital comprehensive monitoring system, and relates to the technical field of electric power engineering, the intelligent cable digital comprehensive monitoring system comprises a digital monitoring center, the digital monitoring center is in communication connection with the following modules: a holographic sensing monitoring module used for deploying an intelligent sensing system and collecting monitoring data including cable operation parameters and environmental data, and the collected data is preprocessed. According to the invention, real-time and comprehensive monitoring of the cable body and the surrounding environment is realized through the holographic sensing monitoring module and the digital twinning technology, the virtual model of the cable is dynamically updated, and the physical state change of the cable is reflected in real time, so that operation and maintenance personnel can find potential problems in cable operation in time, and the working efficiency is improved. And the service life trend and the fault risk of the cable are predicted in advance through the simulation prediction module, and differential maintenance strategies are formulated, so that the possibility of sudden faults of the cable is effectively reduced, the operation reliability of the cable is remarkably improved, and stable operation of a power system is ensured.

The invention relates to the technical field of electric power engineering, and discloses an electric power engineering multi-modal RAG system based on a knowledge graph and multi-Agent collaboration, and the system comprises a multi-modal dynamic knowledge base construction module which is configured to carry out the structural processing, multi-dimensional knowledge organization and dynamic optimization of electric power engineering multi-modal data; the self-adaptive retrieval strategy engine module is configured to construct a weight decision network based on deep reinforcement learning and execute multi-channel parallel retrieval and result fusion; the iterative self-reflection reasoning module is configured to generate a reasoning path in combination with the retrieval result and verify evidence validity from multiple dimensions; the MCP tool intelligent calling module is configured to integrate multiple types of standardized MCP tools; and the multi-Agent collaborative framework is configured to provide multiple types of Agents which are specific in function and have a cross-module interaction capability. According to the method, the question and answer accuracy, the reasoning depth and the result interpretability in the complex multi-modal scene of the electric power engineering can be remarkably improved.

The invention relates to the technical field of electric power engineering purchase demand prediction, in particular to an electric power engineering purchase demand prediction system based on machine learning, and the system comprises the steps: obtaining historical purchase data, construction progress information and electric power engineering design parameters, carrying out the standard stage division and time alignment, and constructing a stage sequence model reflecting the material use rhythm; and a coupling factor matrix is generated based on the material co-occurrence frequency and the stage position relationship, and the modeling capability of the model for the material cooperation relationship is enhanced. And the stage time sequence features, the coupling information and the structured engineering parameter vectors are fused and input into a regression prediction model, so that accurate mapping of material demands and multi-dimensional engineering features is realized, and the purchase prediction precision in a target period is improved. A deviation sequence is constructed based on historical prediction errors, and error correction is performed through a feedforward neural network, so that prediction accuracy and response capability are effectively improved, and resource waste and construction delay are reduced.

The invention relates to the technical field of electric power engineering information processing, and discloses a power grid power transformation engineering knowledge graph construction and retrieval method and system, and the method comprises the steps: carrying out the dynamic adaptive partitioning of a power grid power transformation engineering related document, and obtaining semantic coherent and independent text blocks; extracting entities and relationships based on the text blocks, and complementing implicit entities and relationships through a multi-round refining mode; performing fusion and disambiguation on the extracted and complemented entities and relationships to form a unified knowledge graph; performing hierarchical clustering on the formed knowledge graph to generate a multi-granularity community structure and a corresponding community report; intention resolution and pre-judgment guidance are carried out aiming at fuzzy questions of the user, and a retrieval strategy is optimized; and executing multi-hop semantic retrieval based on the optimized retrieval strategy, recalling related knowledge and generating answers. According to the method, automation, precision and intelligentization of power grid power transformation engineering knowledge graph construction and full-link retrieval can be realized.

The invention relates to the technical field of electric power engineering automation, in particular to a low-voltage equipment power factor automatic adjusting system and method based on end compensation, and the system comprises a load monitoring module, a compensation strategy generation module, an end compensation execution module, a dynamic balance correction module and an effect evaluation module. According to the invention, the sequential relationship between the load fluctuation and the compensation demand can be accurately identified by continuously monitoring the current waveform, the voltage waveform and the phase difference change trend of the low-voltage equipment, and the compensation strategy is dynamically formulated in combination with the response duration and the compensation demand matching rule, so that the compensation response agility and the matching property of the fluctuating load are improved; dynamic scheduling is carried out according to the capacitor switching capacity and the combination relation in compensation execution, switching weight configuration is analyzed and optimized through the power factor change rate before and after compensation and the load synchronization characteristic, the dynamic balance of the compensation process is enhanced, the power factor stability and the load fluctuation matching capacity after compensation are effectively improved, and the compensation efficiency is improved. And the adaptability and continuity of the adjusting effect are enhanced.

The invention belongs to the technical field of electric power engineering digitization and intelligent drawing auditing, and particularly relates to a dynamic rule engine and multi-target auditing task decomposition method oriented to electric power drawings. Obtaining a power rule file, analyzing and verifying to generate qualified rules, and screening the qualified rules to obtain an effective rule pool; the method comprises the following steps: reserving candidate areas by preprocessing an electric power engineering drawing, generating structured cells through line segment classification and combination and table detection, extracting and cleaning a text, and affiliating the text to the corresponding cells to form a structured result; screening candidate rules from the effective rule pool, extracting auditing objects from the structured result, generating auditing points, calculating the priority of the auditing points, and packaging the auditing points into an assignment unit set capable of being executed in parallel; on the basis of the dispatching unit set, optimizing task distribution by adopting a dynamic model and a greedy algorithm in an execution environment with the maximum concurrency, and doubly optimizing task execution by quantifying benefits and verifying rules; and performing rule judgment and result measurement on a task execution result.

The invention discloses a GIS circuit diagram intelligent generation method based on an electric power pipe arrangement engineering drawing, and relates to the technical field of electric power engineering design. The method comprises the steps of preprocessing multi-source data, planning a path and detecting conflicts, intelligently generating a dynamic layer and adaptively outputting in a cross-platform manner. The preprocessed multi-source data receives design parameters and multi-class data to generate a standardized data set; the path planning and conflict detection are combined with various conditions to generate constraints, and accurate parameters are output; the dynamic layer intelligent generation module is used for generating multiple types of layers according to the data, generating drawings and accounting the cost; in the cross-platform self-adaptive output step, graphs are displayed on multiple terminals based on a framework, and a multi-format export interface is provided. According to the method and the system, intelligent generation of the GIS circuit diagram of the electric power tube bank engineering drawing is realized, and the design efficiency and accuracy are improved.

The invention discloses a mutual inductor digital output synchronism detection method and system, particularly relates to the field of electric power engineering detection, and is used for solving the problem of synchronism deviation concealment caused by phase-locked loop drift of digital output of an electronic mutual inductor in an intelligent substation. A uniform time frame is utilized to penetrate through the whole process, synchronization deviation is continuously mapped into a phase migration track, long-term drift and instantaneous jitter are analyzed on two scales by means of phase shift stacking quantity and pulse dispersion rate, two kinds of heterogeneous features are converted into a single drift tradeoff coefficient through Gaussian process regression, and a stability domain threshold value is dynamically revised according to the single drift tradeoff coefficient; after the threshold is triggered, the minimum adjustment amount is immediately issued to the phase-locked loop and is synchronously verified, so that the clock adjustment action and the drift monitoring are mutually nested; the protection device continuously receives the stable sampling sequence, the tripping misjudgment rate is remarkably converged, the inspection period is prolonged, and additional hardware investment is not needed.

The invention relates to the technical field of electric power engineering, and provides an agricultural and pastoral area power grid interphase power mutual aid configuration system and method.The agricultural and pastoral area power grid interphase power mutual aid configuration system comprises a power source monitoring and regulating unit used for monitoring output power of various power sources in an agricultural and pastoral area in real time and regulating power source output according to a preset algorithm, and the preset algorithm is based on the multi-energy complementation principle; a power distribution algorithm is constructed by combining power supply historical output data, real-time meteorological data and load prediction data, a power grid data acquisition and analysis unit is connected with a power transmission line, a transformer substation, power distribution equipment and the like, parameters such as voltage, current and power of each phase of a power grid are acquired, and the three-phase unbalance degree of the power grid is calculated through a data analysis model. Through the synergistic effect of the power supply monitoring and regulating unit and the power grid data acquisition and analysis unit, and in combination with a multi-energy complementary algorithm and a three-phase unbalance degree real-time calculation model, the limitation that a traditional load balancing device can only statically regulate a fixed load is broken through.

The invention discloses a ground derrick and power tower coupling structure stress analysis method, and relates to the technical field of electric power engineering analys.The method comprises the steps that a load transformation matrix is constructed, dynamic loads are accurately decomposed in combination with the derrick installation inclination angle, and complex space load vectors collected by a sensor can be converted into complex space load vectors through the matrix; the method comprises the following steps of: converting into components with definite mechanical significance in axial direction, torsion and bending, clearly defining action forms of loads in all directions on a structure, and dynamically adjusting the weight of each load component based on a contribution degree quantization function and working condition self-adaptive weighting by taking stress response of a key part as a basis, the contribution degree function quantifies the component influence through the stress proportion, weighted calculation is carried out on related working condition parameters, the weighted stress of each component reflects the essential characteristics of the load and adapts to the real-time working condition, accurate and dynamic basic data are provided for subsequent stress analysis, and the complex stress of the coupling structure under multiple working conditions is accurately analyzed.

The invention discloses a power transmission line engineering quality defect acceptance method based on generative adversarial and reinforcement learning, and relates to the technical field of power engineering quality detection and intelligent image recognition, and the method comprises the steps: carrying out the sample amplification of original image data of a power transmission line tower through a generative adversarial network module, and obtaining an amplified training data set; constructing a PaFPN feature extraction network according to the amplification training data set, extracting multi-scale defect feature vectors and generating a coding feature matrix; establishing a reinforcement learning agent module, taking the coding feature matrix as state input, learning an optimal defect detection strategy through a Q-learning algorithm, and outputting a defect detection parameter combination; and performing feature fusion on the coding feature matrix to generate a fusion feature vector, inputting the fusion feature vector into a classifier network, and outputting a defect category label and a confidence score of the power transmission line project quality. According to the invention, the automation level and the detection precision of power transmission line project quality defect acceptance are improved.

The invention provides a grid-connected system and method based on parallel operation power equalization of synchronous motor units, and relates to the technical field of new energy and electric power engineering. The system comprises a new energy station power generation system and a parallel synchronous motor unit group, wherein the parallel synchronous motor unit group at least comprises two synchronous motor units which have the same electrical parameters and are connected in parallel; the first end of the parallel synchronous motor unit group is connected with the new energy station power generation system, and the second end is connected with the power grid. The method comprises the following steps: connecting one ends of all synchronous motor units to the same power supply bus, applying excitation current to the motor at the end, applying excitation current to the motor at the other end, then measuring the generator end voltage waveform, adjusting the relative mechanical angles of the synchronous motor units according to the measurement result, and ensuring that the relative mechanical angles of all the motor units are equal. And power equalization between parallel synchronous motor units is realized. The system structure can be simplified, the cost can be reduced, and the reliability and the flexibility of the new energy grid-connected system can be improved.

The embodiment of the invention provides a thermal power plant waste heat gradient utilization management method and system, belongs to the field of energy and power engineering, and aims at solving the problems that in the prior art, waste heat gradient matching is unreasonable, the low-temperature waste heat recovery efficiency is low, and the system integration degree is insufficient. The method comprises the following steps: constructing a multi-physics field coupling digital twinborn model and performing real-time correction; establishing a dynamic matching matrix of the residual heat source and the heat consumption load based on balance analysis; solving a Pareto optimal operation scheme through a multi-objective optimization model; and generating and issuing a cooperative control instruction. The system comprises a panoramic data sensing module, a digital twin modeling module, a balance and optimization decision module and a cooperative control instruction generation module. Through global optimization and dynamic regulation and control, the waste heat utilization efficiency, the economical efficiency and the equipment reliability are remarkably improved.

The invention discloses an electric power engineering construction quality evaluation method and device based on three-dimensional Gaussian modeling, equipment and a medium. The method comprises the steps of abstracting a plurality of pieces of equipment in electric power engineering into a physical parameter group, and performing multi-view image fusion based on images of the electric power engineering; modeling is carried out based on a 3DGS three-dimensional scene, parameterized Gaussian distribution is used for representing the geometric morphology of the power equipment, and mapping of physical parameters and the three-dimensional scene is achieved; projecting the 3DGS model into a two-dimensional rendered image based on differentiable rendering, and realizing gradient propagation from pixels of the two-dimensional rendered image to physical parameters; constructing a loss function, and optimizing Gaussian function parameters and physical parameters based on the image of the electric power engineering and the two-dimensional rendering image; and after the optimization is completed, carrying out physical parameter extraction on the 3DGS model corresponding to the electric power engineering so as to realize quality evaluation, graded early warning or visual display. The invention belongs to the field of engineering evaluation. According to the invention, accurate evaluation of the construction quality can be realized.

The invention relates to the technical field of electric power engineering, in particular to a non-step-in liquid cooling phosphoric acid and all-vanadium liquid flow energy storage power station cooperative control system in butt joint with a 220KV transformer substation. Comprising a hybrid energy storage module, a non-stepping intelligent liquid cooling module, a multi-strategy cooperative control module and a substation deep cooperative interface module. The multi-strategy cooperative control module is used for constructing a multi-stage cooperative control architecture, generating control strategies adapted to different operation scenes by fusing multi-source data, and realizing multi-module cooperative operation optimization; lithium iron phosphate and all-vanadium liquid flow energy storage units are connected in parallel through a direct-current bus, and a short-time high-power response-long-time deep energy storage characteristic complementary system is constructed; through cooperative operation of the hybrid energy storage module, limitation of a single battery type on power or capacity is avoided; a'monitoring-evaluation-response 'totally-closed active safety chain is formed, and the temperature can be kept stable and potential safety hazards can be eliminated without manual intervention in the whole process.

The invention relates to the technical field of electric digital data processing, and discloses a power cable laying planning simulation method and system based on digital twinning, and the method comprises the steps: constructing a digital twinning space containing a power equipment three-dimensional model and a cable laying path model based on a real power system, and determining the geographic positioning information of the digital twinning space; generating an optimal laying path according to the cable starting point and terminal point positioning information; responding to an automatic planning instruction, and dynamically simulating a laying process in a twin space in combination with a safety verification rule; and meanwhile, a user is supported to manually edit a path and carry out safety distance verification in real time. According to the method, a compliant and efficient cable laying scheme can be automatically generated, the material consumption is accurately counted, and the design precision and the construction efficiency of electric power engineering are remarkably improved.

The utility model relates to a cable stripping device for electric power engineering. Comprising a second mounting frame and a first mounting frame, and a clamping assembly is mounted on the first mounting frame; the clamping assembly comprises two sets of clamping jaw mechanisms and further comprises a clamping driving mechanism. A plurality of groups of sliding guide rods are fixedly connected to the second mounting frame, and a movable frame structure which is in sliding connection with the second mounting frame is arranged on the second mounting frame in a penetrating manner; a cutting assembly is mounted on the movable frame structure; the cutting assembly comprises a cylindrical shell structure, two groups of cutting mounting rods are elastically mounted in the cylindrical shell structure, a peeling cutter is mounted at the outer end part of each cutting mounting rod, and a limiting plate is mounted at the outer end part of each cutting mounting rod; the cutting adjusting mechanism is used for adjusting the distance between the two groups of cutting mounting rods; and an annular cutting driving assembly is mounted on the movable frame structure. According to the utility model, rapid girdling and peeling operation can be carried out on cables with different diameters, the cutting depth of the cutter can be adjusted according to the specifications and dimensions of the cables, the universality is strong, the peeling effect is good, and the cable girdling and peeling device has the advantages of convenient operation, time and labor saving, and wide application range.

The invention provides a power distribution network comprehensive planning method and system in electric power engineering design. The method comprises the following steps: firstly, acquiring geographic space data and historical operation data in a planning area and cable vibration spectrum data monitored by an optical fiber sensing network; carrying out distributed storage and correlation analysis on the geographic space data and the cable vibration spectrum data through a mixed integer programming parallel acceleration algorithm, and generating a cable aging risk distribution diagram based on spatial topology constraints; performing multi-target collaborative optimization based on a second-order cone programming model, and generating a high-voltage distribution network line capacity increasing scheme and a cable replacement priority sequence; and finally, in combination with a partial discharge frequency domain characteristic change trend in the cable vibration spectrum data, correcting a line corridor extension parameter, and outputting a dynamic planning map including a cable life prediction node and a capacity increasing path. According to the technical scheme provided by the invention, precise planning and optimization of the high-voltage power distribution network are realized, and the accuracy and efficiency of cable life prediction and capacity increasing path planning are improved.

The invention discloses a power plant condenser steam injection vacuumizing system and method, and belongs to the technical field of electric power engineering. The system comprises an environmental parameter monitoring module which is used for monitoring and collecting key parameters of an external environment of a power plant in real time; the unit operation parameter acquisition module is used for performing high-precision real-time acquisition on unit core operation parameters to form unit dynamic operation characteristic data; the steam loop state detection module is used for detecting state information in a steam loop on line; the multi-stage steam ejector group automatically switches stage configuration according to different working conditions, and realizes graded adjustment of the vacuumizing capacity of a condenser; the electric regulating valve group is used for accurately regulating the steam supply quantity of each ejector channel to realize dynamic matching of flow and pressure; the intelligent bypass control module is used for stably regulating and controlling the switching process of the ejector based on amplitude limiting and anti-oscillation logic; and the self-learning parameter library module is used for recording and updating optimal operation parameter combinations under different working conditions.

The invention relates to the technical field of electric power engineering, in particular to a simulation method of a power station motor high-oil-pressure jacking hydraulic system, which comprises the following steps: building a high-oil-pressure jacking hydraulic simulation system which comprises a control module, a constant-pressure variable pump, a pressure release valve, a measuring element, an oil tank, an equivalent load, an equivalent hydraulic cylinder and a pressure release hole; the equivalent hydraulic cylinder is used for jacking up the equivalent load and simulating a real scene that the motor is jacked up by high-pressure oil; theoretical modeling is conducted on a frame and all parts of the high-oil-pressure jacking hydraulic simulation system; by establishing a linkage mechanism of the equivalent area, the pressure and the flow of the pressure relief hole, pressure fluctuation and compensation response during working condition conversion are accurately simulated; smooth transition between the static jacking state and the operation pressure maintaining state is achieved, and the stability and the self-adaptive capacity of the system under the variable rotating speed condition are effectively verified. Compared with traditional static simulation, the whole process of the hydraulic and mechanical coupling effect in actual operation is reflected more comprehensively.

The invention discloses a multi-modal large model power grid industry PDF file review method based on reinforcement learning optimization, and aims to solve the problems that power grid industry PDF table review is low in efficiency, insufficient in accuracy and dependent on manpower. The method is implemented in two stages: in the first stage, large model table structure understanding pre-training is completed through multi-modal input construction, cell state modeling, inference chain execution and a reinforcement learning reward mechanism, and the complex table structure recognition capability is improved; and in the second stage, multi-modal embedded representation of the to-be-compared table is constructed, an explicit reward mechanism and GRPO unsupervised strategy optimization are combined, semantic comparison and difference recognition of table fields are realized, and a multi-dimensional review result containing a difference list, an interpretation text, a comparison track and a visual report is output. The power grid industry PDF table review efficiency and precision are remarkably improved, auditing traceability is supported, and the method is suitable for professional table review scenes of electric power engineering budget, equipment parameters and the like.

The invention discloses a cable warning pile and method for monitoring the state of an intermediate joint of a directly-buried power cable, relates to the field of state monitoring of power equipment in power engineering, and aims to solve the problems of single-parameter acquisition, large interference influence, non-objective evaluation and non-visual early warning in the existing monitoring technology. The warning pile is vertically buried at the position 0.3-0.8 m above a connector, temperature, partial discharge, vibration and environment data are synchronously collected through multiple sensors such as an optical fiber temperature sensor and a high-frequency current transformer, after data alignment, abnormal value elimination, filtering and integral preprocessing, the real temperature of the connector is restored through an environment and vibration coupling correction model, and the real temperature of the connector is obtained. And extracting a partial discharge peak factor and an average discharge capacity core characteristic. An index weight is determined based on an entropy weight method to construct a health degree evaluation model, operation states are divided into normal, attention, early warning and fault classes, hierarchical visual warning is realized through a three-color indicating lamp group and a buzzer, and the model is dynamically updated in combination with maintenance data every three months.

The utility model relates to the technical field of electric power engineering measurement, and particularly discloses an electric power engineering measuring device which comprises a counterweight base, the top of the counterweight base is fixedly connected with a box body, one side of the top of the box body is fixedly connected with a fixing plate, the other side of the top of the box body is fixedly connected with a positioning plate, and a guide roller is rotatably arranged in a meter counter. The output end of the hydraulic cylinder is fixedly connected with a push rod, the bottom end of the push rod is fixedly connected with an arc-shaped anti-sliding block, the bottom end of the inner side wall of the vertical plate is rotationally provided with a pressing wheel, the top of the supporting block is provided with a touch switch, the top end of one side of the vertical plate is fixedly connected with a pressing rod, and the other side of the top of the box body is fixedly connected with a displayer. The utility model discloses. According to the cable length measuring device, the length of a cable can be accurately measured through matched use of a vertical plate, an extrusion block, a second compression spring, a pressing rod, a touch switch, a hydraulic cylinder and an insertion rod of an arc-shaped anti-skid block, and the situation that a guide roller rotates automatically after the length of the cable is measured, and consequently deviation of the length value of the cable is caused can be avoided.

The invention relates to the technical field of electric power engineering, and provides a black-start control system for offshore wind power direct current transmission and a control method thereof.In the system, a receiving-end alternating current breaker is used for controlling connection and disconnection between a receiving-end power grid and an onshore converter station, so that the receiving-end alternating current breaker is connected with the onshore converter station in a black-start instruction; charging control is carried out on the converters in the land converter station and the offshore converter station at the same time through the receiving end power grid based on a preset charging control strategy; and the sending-end alternating-current circuit breaker is used for controlling connection and disconnection between the offshore wind power plant and the offshore collection bus, so that after charging control is finished, system full-operation starting control is executed based on a preset full-control starting strategy through the offshore converter station and the land converter station until the offshore alternating-current wind turbine generator of the offshore wind power plant recovers power output. According to the invention, under the condition that the cost advantage of the VSC and DR combined topology is brought into full play, reliable and stable starting of the passive offshore wind power direct current sending-out system is realized based on a black-start mechanism combining uncontrolled-half-controlled charging with full-controlled starting.

The invention discloses an electric power project material inventory intelligent generation method and system based on multi-modal document analysis and knowledge graph semantic mapping, and belongs to the field of artificial intelligence and electric power engineering. Comprising the steps that in the first stage, unified analysis and semantic coding are conducted on text documents, engineering drawings and table data, and a semi-structured original information set is generated; in the second stage, named entity recognition and type labeling are carried out on the original information set based on a two-way long-short term memory network and a conditional random field hybrid model, a structured entity set is generated, an electric power material field knowledge graph is constructed on the basis, and a standard key point rule base is established; semantic mapping and information completion are carried out through a multi-level matching mechanism and knowledge reasoning, and a standardized material inventory is generated after quality control. According to the invention, intelligent and automatic generation of the electric power project material inventory is realized, and the accuracy and efficiency of material inventory generation are improved.

The invention relates to the field of electric power engineering, and particularly discloses a port shore power load double-flow LSTM prediction method, which comprises the following steps: S1, selecting and collecting factors influencing power load data by using longitudinal data to obtain a multivariable time sequence data set D1, and preprocessing the data set D1 to obtain a data set D2; s2, correlation analysis is carried out, and dominant features and auxiliary features are divided based on the correlation degree of each variable and the load in the MIC quantitative data set D2; respectively inputting the dominant features and the auxiliary features into heterogeneous LSTM branch modeling, and splicing output results to generate a fusion feature map; and S3, constructing a BO-LSTM neural network, inputting the fusion feature map into a double-flow time sequence learning module, extracting dominant features and auxiliary features, performing deep representation, performing splicing, introducing a channel attention mechanism to perform weighting processing on fusion feature vectors, and outputting a power load prediction value through a residual error correction module. According to the method, the prediction precision and robustness are remarkably improved, and the real-time scheduling of the port shore power system is supported.

The invention relates to the technical field of electric power engineering structure failure assessment, and discloses a reinforced concrete pole icing failure assessment method, system, device and medium, and the method comprises the steps: collecting the initial data of a pole, and assessing the stress distribution and potential crack position of the pole under a specific load based on the data. According to the stress distribution and the crack position, the expansion condition of the concrete crack is determined, and the stress state of the steel bar is analyzed. And based on the stress state, executing preliminary judgment. And establishing a relation model of the critical fracture value and the critical load of the steel bar in combination with the preliminary judgment result, and calculating the probability of overall failure of the electric pole. By analyzing the stress distribution and potential cracks of the electric pole under different loads, the actual stress state of the electric pole can be accurately predicted. Through fitting the joint distribution of the preset loads, the interaction between the loads is considered, and the evaluation precision is improved. The established relation model provides a basis for electric pole failure probability evaluation based on a preliminary judgment result.

The invention relates to the technical field of electric power engineering construction, and particularly provides a data processing method and system for scene decision optimization of electric power stringing construction, and the method comprises the steps: constructing a parameter matrix of multiple scenes, and generating a decision task of each scene; for the decision-making task, construction result data is calculated according to a set logic calculation chain through a data flow and logic association engine; the construction result data is displayed through a visual interface, and a working condition input window is provided; updating the parameter matrix, and calculating updated construction result data; and comparing the updated construction result data with a preset safety rule base, performing safety verification, and optimizing the construction scheme based on the parameter matrix under the condition that the verification is not passed. The technical problems of low calculation efficiency, poor accuracy and insufficient safety due to the fact that independent calculation needs to be manually performed according to different data sources in different sub-processes in electric power stringing construction in related technologies are solved.

The invention belongs to the technical field of electric power engineering. The DC interconnected power distribution network optimal scheduling method based on converter control switching is used for solving the problems of power distribution network voltage out-of-limit, low scheduling efficiency and the like under the high permeability of new energy, VSC network following and VSC network construction dual-mode cooperative control is adopted, a photovoltaic-energy storage-VSC multi-level voltage stability support system is constructed, and the optimal scheduling of the DC interconnected power distribution network is realized. Dual-mode undisturbed switching is realized through virtual quantity calculation and proportion superposition; a cross-regional power mutual aid mechanism is established based on a direct current channel, and an electricity purchasing cooperative control system is established in combination with time-of-use electricity price. According to the method, collaborative optimization of voltage stabilization and economic dispatching is realized, the new energy consumption capability is improved, the power purchase cost of a superior power grid is reduced, and the method is suitable for a'source-grid-load-storage 'collaborative dispatching scene.

The invention discloses an integrated power transformation engineering project full-process comprehensive management system, and relates to the technical field of electric power engineering management. The system comprises a unified data center platform, a full-life-cycle management module group, an intelligent analysis and decision support engine and a cooperative work interface. Unified storage and management of multi-source heterogeneous data are realized, all stages of planning, design, purchasing, construction and transfer operation and maintenance are covered, and seamless business connection and data linkage are realized; progress prediction, cost hyper-branched automatic traceability and security risk dynamic early warning are provided; a unified operation interface is provided for all participants; according to the invention, the problems of information island, process disjunction and risk early warning lag in a traditional management mode are effectively solved, the integrated, intelligent and visual management of the whole process of the project is realized, and the project management efficiency, the cost control capability and the safety risk prevention and control level are remarkably improved.