1519 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 management and control, and discloses an electric power engineering construction project whole process management and control system. The system comprises an engineering parameter monitoring module, a risk analysis module, a progress control module, a quality evaluation module, an early warning output module and a background supervision terminal. The engineering parameter monitoring module collects multi-dimensional real-time parameters through a sensor array and sends the multi-dimensional real-time parameters to the risk analysis module and the background supervision terminal. The risk analysis module generates a progress control instruction according to the deviation between the real-time parameter and a preset standard parameter and sends the progress control instruction to the progress control module. The progress control module executes progress adjustment operation, and the quality evaluation module monitors the adjustment process and generates a quality signal. The early warning output module receives the quality early warning signal, generates early warning information and sends the early warning information to the background supervision terminal, and the background supervision terminal gives an alarm. According to the system, collaborative operation of engineering parameter real-time monitoring, risk analysis, progress adjustment, quality evaluation and early warning is realized, and a whole-process management and control closed loop is formed.

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 discloses an electric power engineering project management talent intelligent evaluation and dynamic training system, and the system comprises a multi-dimensional quality capability model construction module which constructs a four-dimensional capability framework based on the characteristics of an electric power engineering industry, generates a differentiated post capability model through a dynamic weight distribution algorithm, and carries out the dynamic training of the differentiated post capability model; constructing an industry ability dictionary library by utilizing a knowledge graph technology; the intelligent evaluation and matching module integrates a multi-modal evaluation tool to collect dominant and implicit capability data, dynamically adjusts capability index weights through a pre-trained AI model based on project characteristic parameters, and calculates man-post adaptation indexes by adopting a cosine similarity algorithm; and the dynamic training and development module is used for generating a personalized training scheme by quantifying the capability difference, tracking the training effect in a closed-loop manner based on a Korotkoff four-level evaluation model, and dynamically optimizing a training path by adopting a Bayesian network. The technical defects of single evaluation dimension, low man-post matching degree and insufficient cultivation efficiency of traditional power engineering human resource management can be solved.

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 belongs to the technical field of computer-aided project management, and discloses an electric power engineering design project management system and method, and the system comprises a data integration and processing module, a multilayer dynamic knowledge graph data storage library, a graph-based automatic compliance check engine, and a graph neural network-based predictive risk engine. And an active design change impact analysis module. According to the method, a unified and intelligent project data core is constructed, heterogeneous data sources such as design files and law and regulation texts are integrated in a multi-layer dynamic knowledge graph, automatic compliance review is realized by utilizing graph query, data-driven risk prediction is realized by utilizing a graph neural network GNN, and the risk prediction efficiency is improved. And the linkage influence of design change can be simulated and quantitatively evaluated. According to the method, the problems of data islanding, passive compliance examination, subjective risk management, difficulty in change analysis and the like in the prior art are solved, and the management efficiency, accuracy and initiative of the electric power engineering design project can be remarkably improved.

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 utility model relates to the field of cable tightening, and discloses an electric power engineering cable tightener which comprises a take-up mechanism and a cable clamping mechanism, the take-up mechanism and the cable clamping mechanism are connected through a cable and a hook lock, the other end of the take-up mechanism is connected with a cable frame, and the take-up mechanism drives the cable clamping mechanism to move by tightening the cable so as to tighten a cable. The cable clamping mechanism is provided with a take-back auxiliary mechanism capable of enabling the cable clamping mechanism to be separated from the cable, the take-back auxiliary mechanism is connected with the pull rope, the pull rope is pulled to enable the take-back auxiliary mechanism to make contact with the cable so as to support the cable clamping mechanism, and the cable clamping mechanism is provided with an anti-falling piece with an anti-falling function. Compared with the prior art, the cable take-up device has the advantages that the take-up auxiliary mechanism is arranged, the idler wheel can make contact with the cable and support the upper clamping block by pulling the pull rope, the upper clamping block is separated from the cable, the lower clamping block naturally falls off to be separated from the cable under the action of gravity, resistance during take-up is greatly reduced, and take-up operation is simpler and more convenient.

The invention provides an electric power engineering full-period safety supervision method, and relates to the technical field of electric power engineering safety monitoring, and the method comprises the steps: collecting the electromagnetic field intensity and environment humidity data of a hot-line work region, obtaining three-dimensional space coordinates in real time through combining with a positioning tag on a safety helmet of a constructor, and dynamically calculating the three-dimensional boundary of a dangerous region; a comprehensive proximity index is constructed by analyzing the spatial relationship and the moving trend of the constructors and the dangerous boundary, the trend of the constructors approaching the dangerous area is judged in real time, and early warning is given out through the dynamically adjusted vibration frequency. In this way, the problems that in the prior art, dangerous area division is not accurate, monitoring of the movement trend of constructors is insufficient, and early warning response is single can be solved, and the safety monitoring capacity of the hot-line work environment is greatly improved.

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 relates to the technical field of risk prevention and control, in particular to an electric power engineering construction site safety management method and system, and the method comprises the following steps: analyzing the spatial relation between constructors and high-voltage cable laying points based on the positioning and operation paths of the constructors, screening and adjusting path nodes, and judging the distribution of abnormal resident personnel; and dynamically evaluating the working condition risk level by combining the regional personnel density and the meteorological change, and adjusting the risk level of the operation region. According to the invention, through fusion of space positioning, path behaviors, risk monitoring and meteorological data, dynamic capture of operation behaviors and environment changes, combination of path space optimization and resident behavior screening, active perception of a space interaction relationship between personnel and a risk area, linkage of personnel distribution and extreme meteorology, continuous identification and linkage judgment of risk characteristics are realized, and the risk characteristics can be identified more accurately. And the partition risk levels are updated in real time according to operation behaviors and environmental conditions, and the field risk data linkage breadth and depth are enhanced.

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 invention relates to the technical field of energy and power engineering, and discloses an efficient thermoelectric decoupling system based on phase change energy storage, which comprises an energy storage unit module, a regulation and control algorithm module and a scheduling optimization module. The energy storage unit module adopts a nanotechnology novel phase change material, so that the energy storage density and stability are improved; the regulation and control algorithm module realizes accurate control of charging and discharging through a multi-stage regulation and control strategy; and the scheduling optimization module predicts energy demand and production by using a machine learning algorithm, and dynamically adjusts an energy distribution strategy. The problems that a traditional heat storage material is low in energy storage density and poor in stability and lacks an intelligent scheduling mechanism can be solved, the energy utilization efficiency and operation reliability of a thermoelectric system are improved, and the energy cost is reduced.

The invention relates to the technical field of electric power engineering, in particular to a system and a method for erecting or removing a lead at a crossing position. Comprising a telescopic wire bearing module; a power driving module; a closed-loop tension control system module; a guiding and stabilizing module; a remote control module; the modular telescopic design is adopted, the multistage nested carbon fiber telescopic rod is matched with the servo motor / hydraulic pump driving of the power driving module, and the time for constructing a traditional crossing frame is shortened from 3-5 days to several hours. According to the design, an optimal telescopic track is generated in real time through a dynamic path planning algorithm built in the central control module, the unfolding speed is increased by more than 30%, the winch speed is synchronously adjusted by combining a closed-loop tension control system and the action of the telescopic rod, repeated adjustment is reduced, the operation time is comprehensively shortened to 1-2 hours, the efficiency is improved by more than 80% compared with a traditional method, and the cost is reduced. The erecting efficiency is improved by 40%, and the problems that a traditional crossing frame is long in erecting time and complex in process are solved.