80results about How to "Guaranteed feasibility" patented technology

The invention relates to the field of electrical power grid operation and maintenance, in particular to a differentiated operation and maintenance method and system based on real-time weak links of equipment. According to the method, online monitoring data and power supply reliability operation data of power distribution network equipment are collected in real time to form an equipment state multi-source data set; based on the data set, calculating an equipment health degree evaluation result by adopting a state evaluation model, and obtaining an importance degree evaluation result through an analytic hierarchy process in combination with the position and load importance of the equipment in the network topology; and inputting the two results into a preset operation and maintenance strategy matrix to match a corresponding operation and maintenance strategy type, and finally generating a differentiated operation and maintenance strategy instruction containing specific operation and maintenance measures, an execution time window and a resource allocation scheme. According to the method and the device, the problems of lack of equipment-level pertinence and unreasonable resource allocation of an operation and maintenance strategy in the prior art are effectively solved, and the operation and maintenance accuracy and the resource utilization efficiency are improved.

The present disclosure relates to a cloud edge end collaborative based digital twin system performance prediction and fault self-healing method, belonging to the field of digital twin, comprising: constructing a global performance prediction model of a digital twin body in the cloud; deploying a fault detection module in the edge node, detecting abnormal features in the sensor data stream using adaptive sliding window technology, and comparing the abnormal features with the prediction results through a multi-scale feature extraction algorithm; establishing a two-way authentication channel between the end device and the edge node; the edge node identifies the fault features and inputs a dynamic repair strategy code package to the end device; the cloud starts a virtual simulation engine to perform fault deduction, generates several repair schemes using the Monte Carlo tree search algorithm, and performs simulation verification to screen the optimal repair scheme; the optimal repair scheme is issued to the edge node through the blockchain and is synchronized to the end device for repair using the differential update mechanism; and the cloud dynamically reconstructs the loss function of the model. The performance prediction is accurate and the fault self-healing capability is strong.

The present application relates to a kind of deep water shallow carbon dioxide storage methods, comprising the following steps: based on the natural conditions of target sea area, determine the carbon dioxide storage target area, wherein the temperature and pressure conditions where the carbon dioxide hydrate thermodynamic stability zone of storage target area is located meet the thermodynamic stability condition of carbon dioxide hydrate, the negative buoyancy effect area of storage target area meets the density of carbon dioxide is greater than the density of pore fluid to form negative buoyancy effect;Carbon dioxide is injected into the sediment of storage target area, part of carbon dioxide enters negative buoyancy effect area by downward migration and gathers, and forms lower reservoir area;Part of carbon dioxide enters carbon dioxide hydrate thermodynamic stability zone and reacts with pore water in sediment to generate solid carbon dioxide hydrate, and forms upper sealing area;By the upper and lower relationship formed in space by lower reservoir area and upper sealing area, long-term stable carbon dioxide storage structure is constructed in sediment, and dependence on natural cap is reduced.

The invention discloses a power grid enterprise emergency plan system assessment method and system, a medium and equipment, and belongs to the technical field of emergency plan system assessment, and the power grid enterprise emergency plan system assessment method comprises the steps: constructing an emergency plan assessment index system; key risk indexes are identified through a fuzzy Delphi method; carrying out dynamic weight distribution on the key risk indexes based on a Bayesian best worst method; a fuzzy comprehensive evaluation method is combined with the maximum membership degree principle, and comprehensive evaluation is carried out on the emergency plan system; constructing a comprehensive risk early warning model, and calculating an early warning value of each index and an overall early warning level; and outputting an evaluation result and an early warning level. According to the method, comprehensiveness, systematicness, feasibility and practicability of emergency plan system evaluation indexes can be ensured, and emergency capability construction of power grid enterprises can be objectively and effectively evaluated.

The invention relates to the field of battery material recovery, and provides a method for separating and regenerating waste lithium battery cathode graphite, which realizes high-efficiency low-damage separation of copper foil and graphite through a combined process of complex acid ultrasonic separation, anionic flocculant purification and ball-milling roasting, and simultaneously removes metal impurity residues in graphite. The whole process is environment-friendly, energy-saving, simple to operate, high in recovery efficiency and easy to industrially popularize.

The invention discloses superaustenitic stainless steel based on the synergistic effect of Mo and N and a preparation method of the superaustenitic stainless steel, and belongs to the technical field of high-performance metal materials. The stainless steel comprises the following components in percentage by mass: 26.0%-26.5% of Cr, 3.48%-4.52% of Mo, 0.29%-0.51% of N, 23.0%-25.0% of Ni, less than or equal to 0.01% of C, 0.40%-0.65% of Mn and the balance of Fe and inevitable impurities. According to the method, on the premise that the PREN value is kept basically unchanged, the point corrosion resistance of the stainless steel in a chloride ion-containing medium is remarkably improved by synergistically reducing the Mo content and increasing the N content and utilizing the interaction effect of Mo and N. The synergistic effect is embodied in inhibiting pitting initiation, slowing down pitting extension, promoting repassivation and forming a more protective passive film structure. The material is especially suitable for harsh corrosive environments such as offshore oil and gas exploitation and seawater desalination.

The application discloses a kind of based on nesting block genetic's super large scale network operation method and system, the method includes: obtaining asset network data, constructs infrastructure operation planning physical mathematical model;With the parent individual representing different complete cycle planning scheme, constraint-aware annual plan exchange crossover is carried out;Asset block and nesting;Block maintenance strategy exchange and hierarchical variation between blocks;Block level linear programming guided adaptive optimization.The system includes: including physical modeling module, annual plan exchange crossover module, block nesting module, sub-block processing module and adaptive optimization module.Through using the application, the calculation bottleneck under the scale of huge assets can be solved, and an efficient and scalable decision support scheme is provided for the fine management of complex infrastructure systems such as roads and bridges.The application can be widely applied in the technical field of infrastructure management.

The invention discloses a regional multi-microgrid cluster-oriented collaborative operation system, which relates to the technical field of power system dispatching and control, and comprises an asynchronous sensing fusion module, an asynchronous receiving and time axis reconstruction module, a time axis reconstruction module and a time axis reconstruction module, which are used for carrying out asynchronous receiving and time axis reconstruction on operation state data reported by a plurality of microgrid nodes; the credibility level is determined based on the communication link state and the data integrity, and weighted merging is carried out in the same time window according to the credibility level to form a unified state view; and the prediction difference modeling module is used for extracting state change characteristics among micro-grid nodes based on the state view, determining state offset information and a historical change boundary thereof, and taking the state offset information and the historical change boundary as numerical constraints of scheduling calculation. According to the system provided by the invention, through the asynchronous sensing fusion module, time axis reconstruction is realized on the basis of asynchronous data receiving, the credibility level of each piece of data is dynamically evaluated in combination with a communication link state and data integrity, and then weighted fusion is carried out in a unified time window.

The application belongs to the technical field of intelligent inspection, and provides a vehicle-machine cooperative inspection vehicle path planning method based on multi-objective optimization, which comprises the following steps: establishing a vehicle-machine cooperative inspection path planning model, selecting a minimum set of parking points and planning a vehicle path, completing vehicle scheduling and unmanned aerial vehicle task matching, then for each parking point, generating an initial unmanned aerial vehicle inspection path based on map data using the A-star algorithm, combining visual SLAM to realize environment mapping and real-time positioning, using an improved A-star algorithm and a rolling window mechanism to dynamically avoid obstacles, and in the process of unmanned aerial vehicle flight, fusing multi-source sensor data to estimate the unmanned aerial vehicle attitude position based on a G2O graph optimization framework, combining an adaptive error compensation algorithm to realize robust control of the flight trajectory, and finally judging whether the total length of the inspection path exceeds the single endurance capability of the unmanned aerial vehicle, if yes, segmenting and re-planning the path, and if not, outputting the final path. The application has high inspection efficiency, low cost, stable operation, and is suitable for large-scale tasks.

This invention relates to the field of natural language processing and information extraction technology, and discloses a method for automatic generation and iterative optimization of annotation guidelines for event extraction. The method includes: generating initial annotation guidelines based on annotation samples using a large language model and compressing them into lightweight guidelines for predefined event types; employing a two-stage extraction strategy, first identifying event types using the lightweight guidelines, and then recalling complete guidelines based on the types for end-to-end extraction to obtain prediction results; identifying and clustering prediction errors based on a predefined set of event-layer and argument-layer error types to form error clusters; and generating update operations for the annotation guidelines using a large model for each error cluster, and completing iterative optimization after verification of effectiveness. This invention achieves automated generation and continuous evolution of annotation guidelines, and significantly improves the maintainability, generalization ability, and event extraction performance of the guidelines through structured representation and error clustering mechanisms.

The application discloses a detachable maxillary skeletal expander and a design method thereof. The maxillary skeletal expander comprises a pair of mirror image arranged and connected expander units. Each expander unit comprises an expander body, a band for fixing to a patient's tooth crown, and a connecting rod detachably connected to the expander body and the band. The expander body of each expander unit is connected and used for fixing to the patient's upper palate by a micro-implant. The detachable assembly of the application adopts a "fixing part-sleeve-screw" structure. In the maintenance stage after the completion of the expander treatment, the band can be easily detached by rotating out the screw, the operation process is greatly simplified, the chair-side time is significantly shortened, the clinical work efficiency is improved, the grinding operation is avoided, the vibration and noise interference is eliminated, the risk of soft tissue injury is reduced, and the comfort and safety of the patient in the treatment process are effectively improved.

The application discloses a multi-agent dynamic real-time path planning method and device based on signal timing logic, and relates to the technical field of control methods. The method comprises the following steps: acquiring multi-robot path planning task information and a preset space-time constraint task demand; constructing a multi-robot task specification based on signal timing logic, and defining a corresponding robustness evaluation function; constructing a comprehensive path cost function based on the robustness evaluation function; introducing the path cost function into a path expansion and reconnection process based on a real-time rapid expansion random tree algorithm, updating a search tree structure, and generating a candidate path meeting environment constraints and timing constraints; planning paths for robots in sequence according to a preset multi-robot cooperative planning strategy, taking the path information of the robots that have been planned as dynamic obstacles and performing progressive cooperative obstacle avoidance, and outputting a conflict-free trajectory adaptive to a dynamic environment. The application can solve the path planning problem in a multi-agent scene.

The invention provides a method for selecting a fire escape safety path in a large building, and relates to the field of dynamic path planning, and the method comprises the steps: constructing a building topological graph model, and abstracting a building space into a graph structure composed of nodes and edges; dynamically calculating the danger level of each node by adopting a nonlinear attenuation model based on the fire occurrence position, and updating the danger level of each node along with time; planning an escape path from the starting point to the emergency exit by adopting a danger perception type path search algorithm and fusing the node danger level and the moving cost; fire behavior changes are monitored in real time, a path re-planning mechanism is triggered, and an escape path is dynamically adjusted; and evaluating the escape path through a multi-dimensional evaluation system, and determining a final escape path. According to the technical scheme, escape path dynamic planning with faster response, higher safety and stronger adaptability is realized, and reliable technical support is provided for personnel evacuation in a large building fire.

The application relates to the technical field of batteries, in particular to a battery pack and a vehicle, wherein the battery pack comprises a battery cell module, the battery cell module comprises battery cells, and one end of each battery cell is provided with a pole and the other end of each battery cell is provided with an explosion-proof valve, so that a pressure relief flow channel and a high-voltage electrical area are physically isolated in space, thereby eliminating the short circuit risk in the pressure relief process. In the battery pack provided by the application, the pole is arranged at the top of the battery cell, the explosion-proof valve is arranged at the bottom of the battery cell, the gas-electric separation structure physically isolates the pressure relief flow channel and the electrical area, which is beneficial to eliminating the short circuit risk and improving thermal safety, and in cooperation with the pressure relief hole at the bottom of the box body, the high-temperature jet is ensured to be guided out of the vehicle without obstruction, impact on the passenger compartment is avoided, and the short circuit risk in the pressure relief process is fundamentally eliminated.

The present application belongs to the technical field of gear online replacement, and particularly relates to a drum filter screen pinion online replacement device. The device comprises a shell and a base arranged on the ground surface, a climbing frame fixedly connected with the shell and the base, a protection disc arranged on a loading disc, a motor arranged on a support shaft, the loading disc slidingly installed in the shell and the base, a bearing inner ring fixedly connected with a fixed block, one end of a screw rod fixedly connected with the support shaft, the other end of the screw rod slidingly connected with a gear disc, one end of the fixed block slidingly installed on a mounting guide rail, the other end of the fixed block cooperatively connected with the screw rod, one end of the mounting guide rail fixedly installed on the gear disc, the other end of the mounting guide rail freely suspended, the loading disc provided with an embedded groove and a positioning installation groove, the support shaft arranged on the loading disc, and a ball for assisting installation, which is a fixed structure of the free end of the mounting guide rail. The present application has the beneficial effect that the screw rod in the present application cooperatively removes and installs the gear, provides a relatively stable traveling process, and ensures the feasibility of removal and installation.

The invention discloses an excavator controller and a program protection method thereof. The controller comprises a PCB integrated with a microswitch, a processor and a communication interface. A trigger point of the microswitch is higher than the surface of the PCB, and the shell is pressed to be closed when being assembled; the processor is used for detecting switch states; when it is continuously detected that the switch is switched off, it is judged that the shell is detached, specific data in a program storage area is modified immediately to achieve program locking, and the output power of an engine is reduced; and the locked program cannot run in the local machine and also fails when being copied to other processors. An instruction is sent by a special unlocking tool through a communication interface, so that the modified program data can be recovered, and the controller is recovered to be normal; according to the method, full-link protection from physical detection, active locking to safety recovery is achieved, the controller program is effectively prevented from being illegally stolen or tampered, and the method has high reliability, high safety and maintainability.

The application discloses a method for designing and controlling relative motion configuration of spacecraft formation in the Earth-Moon libration point orbit, and belongs to the technical field of spacecraft orbit dynamics and control. The method firstly constructs a double-level dynamics model composed of a circular restricted three-body problem model and a high-precision ephemeris model, and defines the orbit amplitude difference and phase difference as configuration parameters; then, according to different combinations of the orbit amplitude difference and phase difference, three types of natural relative motion configurations are set, periodic orbits are quickly generated under the circular restricted three-body problem model, and multiple turns are corrected by using the high-precision ephemeris model and two-stage multiple shooting; for the controlled tasks of fixed position, plane and space encirclement, a hierarchical constraint model is established, and a two-stage optimization strategy is adopted to solve the control pulse. The application realizes efficient design and stable control of the formation configuration in a complex dynamics environment, and is suitable for various libration point orbit tasks.

This invention relates to an artificial intelligence-based control method and system for retractable roof greenhouses used in peach tree cultivation, specifically as follows: First, an IoT sensor network is deployed to collect greenhouse environmental data and label growth stages, defining optimization tasks and action spaces. After aligning multi-source data using a dynamic time warping algorithm, environmental features and agricultural operations are fused using tensor decomposition technology. Constraint-aware convolution is used to embed environmental constraints and extract features, combining photosynthetically active radiation utilization rate and sensitivity indicators to obtain a growth efficiency feature vector. A strategy network is constructed through stage-adaptive exploration, bi-branch value function calculation, constraint-enhanced action selection, and deterministic strategy gradient optimization, ultimately outputting control commands to drive the greenhouse equipment. This method can accurately quantify the impact of environmental factors, improve the safety and effectiveness of control, and adapt to the growth needs of peach trees.

This invention relates to a collaborative configuration method and system for regional integrated energy systems that considers source-load fluctuations and high autonomy, belonging to the field of integrated energy system planning technology. It aims to address the problems of existing technologies failing to effectively handle uncertainties on both the source and load sides, the disconnect between planning and operation phases, and the lack of quantitative consideration of system autonomy capabilities. The technical solution includes constructing a multi-energy coupling architecture, modeling source-load uncertainties and generating multiple typical scenarios, establishing an integrated demand response model for electricity, heat, and cooling, designing a two-level stochastic programming model based on scenario analysis, and employing a hybrid optimization strategy for solution. This invention can significantly improve system robustness and reliability, reduce carbon emissions, enhance energy autonomy, optimize economics, and improve the supply-demand balance of multi-energy loads.

The application discloses a kind of black soil area grid watershed water and soil regulation methods based on freeze-thaw cycle, comprising the following steps: S1: the configuration unit division of the to-be-configured watershed is carried out, the water supply-demand relationship between each configuration unit is determined, and a plurality of regional water and soil resource configuration grid units are generated, the spatial position between water and soil resource configuration grid units and the topological relationship of water and soil resource configuration grid units are confirmed;S2: typical soil sampling test is selected for the spatial position between water and soil resource configuration grid units grid, soil quality evaluation is carried out, and a typical soil database in black soil area is established;S3: a distributed hydrological model considering freeze-thaw cycle is constructed based on the typical soil database in black soil area, and calibration verification is carried out;The problem of considering the whole watershed multi-water source irrigation process from the perspective of gridding is solved.

The application provides a strong effect pre-prepared magnetic field laying system and laying method, which comprises a power supply arranged outside a drill hole, a control system, a traction mechanism and a laying probe placed in the drill hole; the laying probe comprises a shell and a conveying device, a rotating device and a telescopic top stretching device fixedly connected in the shell; a laying work window is arranged on the shell; the conveying device comprises a servo motor, a synchronous pulley, a pulley shaft, a pulley bearing, a synchronous belt and a plurality of insulating fixed grooves fixed on the synchronous belt; the synchronous belt is arranged along the height direction of the laying probe; the rotating device comprises a motor, a main shaft and a base fixedly connected to the main shaft, and the main shaft is horizontally arranged; the top stretching device is fixedly connected to the base, and the top stretching device comprises a grabbing groove and an electromagnetic sheet arranged in the grabbing groove. The application can effectively solve the problems of small pre-prepared magnetic field effect, weak monitoring signal and poor detection stability, and can meet the application scene of large displacement of deep deformation of landslide.

The invention discloses a dynamic wear process simulation prediction method and device for inter-structure long-period large wear loss and a storage medium, and relates to the technical field of nuclear reactor fretting wear. The method comprises the following steps: constructing a finite element model among a plurality of to-be-analyzed components based on initial morphology parameters of the plurality of to-be-analyzed components; according to a grid reconstruction condition, based on the finite element model and the wear model, executing a preset operation in a segmented manner to obtain a wear depth set and a morphology parameter of each segment; determining wear process distribution based on the wear depth set and the morphology parameter of each segment; the preset operation comprises the following steps: detecting that a grid reconstruction condition is met; and stopping calling the finite element model and the wear model of the current time period, determining a wear depth set and morphology parameters of the current time period, updating the morphology parameters of the finite element model, calling the updated finite element model and wear model, and determining a wear depth set and morphology parameters of the next time period.

The application discloses a kind of based on adaptive time-frequency modeling light-weight sound signal enhancement method, medium and equipment, it is related to sound signal processing technology, based on adaptive time-frequency modeling light-weight sound signal enhancement method mainly includes: constructing sound signal noise reduction model;Utilize sound signal data training set to train sound signal noise reduction model and obtain trained sound signal noise reduction model;Utilize trained sound signal noise reduction model to carry out noise reduction to target sound signal, obtain the sound signal after noise reduction.It can realize the effective enhancement of sound signal in complex noise environment by implementing the based on adaptive time-frequency modeling light-weight sound signal enhancement method, medium and equipment provided by the application, improve the expression ability of model, environmental adaptability and signal restoration precision, reduce the cost of calculation.

The application discloses a manned-unmanned aircraft cooperative operation formation collision avoidance control method, and belongs to the technical field of aircraft cooperative control; the method adopts a hierarchical architecture separating performance layer and safety layer: the performance layer generates nominal instructions for tracking operation slots by model predictive control; the safety layer filters threats in real time based on collision cones, and converts collision avoidance conditions into linear inequality constraints about unmanned aircraft acceleration by using control barrier functions. By setting hierarchical safety parameters for unmanned aircraft-manned aircraft interaction and unmanned aircraft-unmanned aircraft interaction, and imposing hard constraints on the former and soft constraints that can be relaxed on the latter in solving, the absolute safety priority of manned aircraft is ensured. The application realizes effective decoupling of high-performance formation tracking and real-time autonomous collision avoidance, improves the real-time performance and reliability of the system while ensuring safety, and is suitable for large-scale cooperative operation tasks.

This invention discloses an input-constrained stabilization control method for a TORA system affected by uncertain disturbances, relating to the field of engineering vibration control technology. The method includes: establishing the dynamic equations of the TORA system; constructing a Model-Assisted Reduced-Order Extended State Observer (MRESO) to dynamically estimate lumped disturbances in each subsystem online; designing a virtual control law for the translational trolley subsystem based on the backstepping method, and processing the virtual control law using a tracking differentiator to obtain a smooth differential signal; designing an actual control law for the rotating ball subsystem without considering input constraints; using the lumped disturbance as a feedforward compensation quantity to compensate the actual control law, obtaining the compensated control quantity; and inputting the compensated control quantity into a saturated approximation function for mapping to generate the final bounded control command, which is then applied to the actuator of the TORA system. This invention effectively reduces the sensitivity to system parameter uncertainties by introducing dimensionless scaling.

The application belongs to the technical field of photocatalytic materials, and particularly relates to a surface oxygen vacancy-containing tungsten trioxide and a preparation method and photocatalytic acetonitrile oxidation application thereof. The application adds a sodium tungstate solution dropwise into a hydrochloric acid solution under stirring, stirs after the dropwise addition is completed, centrifuges, washes and dries the precipitate after the reaction is completed, and obtains monoclinic tungsten trioxide; the obtained monoclinic tungsten trioxide is annealed to obtain the surface oxygen vacancy-containing tungsten trioxide. The surface oxygen vacancy-containing tungsten trioxide prepared by the application can photocatalyze the selective oxidation of acetonitrile to formic acid with high activity and high selectivity, realizes efficient degradation of acetonitrile and conversion into formic acid product which also has economic value. The application can degrade acetonitrile wastewater by means of photocatalysis, obtain formic acid product with high added value at the same time, greatly reduce the treatment cost, and the catalyst does not decrease in performance in a catalytic test of five cycles for 30 hours, and has wide application prospects in practical application.

The application discloses a power grid material fault prediction and active defense system and method based on digital twinning and a multi-agent large model, and belongs to the technical field of power system disaster prevention. The system comprises a knowledge graph construction module, a multi-agent collaborative prediction module and a digital twinning simulation pre-play module. By constructing a "disaster-equipment" knowledge graph integrating multi-source data, a structured knowledge base is provided for the system; by using three-level agents of risk perception, probability prediction and strategy generation to work collaboratively, closed-loop decision-making from typhoon warning analysis to executable defense strategy generation is realized; finally, the scheduling scheme is dynamically simulated, deduced and optimized and verified in a digital twinning environment. The application solves the problems of difficult data fusion, disconnection between prediction and decision-making and lack of verification mechanism in traditional methods, and significantly improves the fault prediction capability, emergency response speed and active defense reliability of the power grid in typhoon weather.

The invention aims to provide a weighted nuclear norm weak and small target detection method based on low-rank clustering improvement, and the method comprises the following steps: S1, carrying out the preprocessing of a weak and small target image to be detected, and obtaining a preprocessed image; s2, dividing the preprocessed image into a plurality of image blocks; s3, classifying the similar image blocks into one group according to the image features to obtain a plurality of image block groups; s4, respectively constructing a weighted norm model for each image block group, and establishing a constraint model of each image block group based on the weighted norm model; s5, constructing a Lagrange function based on the constraint model of each image block group; s6, performing solution inversion on the Lagrange function of each image block group, and performing rearrangement to obtain a background tensor sequence and a target tensor sequence; and S7, performing clustering processing on the background tensor sequence and the target tensor sequence according to the sequence order to obtain a final background tensor B and a final target tensor T. The objective of the invention is to improve the robustness of background low rank.

The application discloses a kind of distributed photovoltaic and load fluctuation characteristics multi-objective power distribution network optimization scheduling method, it is related to multi-objective power distribution network optimization scheduling field, including: dynamic adjustment equipment is as edge node, its associated physical parameter is as control unit;According to the target demand of multi-objective power distribution network optimization scheduling, construct multi-objective power distribution network optimization scheduling total loss function;Multi-objective power distribution network optimization scheduling model is constructed, and the instruction scheduling value of each control unit is acquired;Based on automatic differentiation traditional power flow calculation, the correction of multi-objective power distribution network optimization scheduling model and output result is carried out;According to the correction result of multi-objective power distribution network optimization scheduling model and output result, real-time optimization scheduling is carried out to multi-objective power distribution network.The application has the advantages that: it can accurately respond to multi-objective power distribution network optimization scheduling demand, effectively coordinates distributed photovoltaic and load fluctuation characteristics by deeply fusing physical constraint conditions, realizes multi-objective collaborative optimization scheduling.

The invention relates to the technical field of construction management, discloses a real-time scheduling method and system for a vibro-replacement gravel pile mechanical group, and aims at solving the problems that an existing method is low in scheduling efficiency and slow in response change, and the scheme mainly comprises the steps that gravel pile tasks are sorted and decomposed into construction procedures executed in sequence; for a to-be-allocated construction process, screening matched idle candidate equipment according to process and mechanical constraints; on the basis of an improved parameterization greedy algorithm, comprehensive scores of all candidate devices are calculated through a target function, and the highest device is selected as the optimal device for allocation execution; monitoring the state and progress of the equipment in real time, rescreening and distributing when a mechanical fault occurs, and updating the plan and restarting the process when the plan is changed; updating the progress and judging whether the total project amount is completed or not, and if not, updating the plan based on the remaining tasks and circularly executing the steps until the construction is finished. According to the invention, the scheduling efficiency and the response speed and robustness of the scheduling system to the sudden dynamic state of the construction site are improved.