253results about How to "Accurate guidance" patented technology

The invention provides an energy-saving control method and device for a central air-conditioning system and a medium, and the method comprises the steps: constructing a cooling load prediction model of the central air-conditioning system, and predicting the cooling load per hour of the next day; under the conditions that the hourly cooling load of the next day is met and the power utilization cost is the lowest, the cooling capacity in a fixed time period is distributed; and an energy efficiency model and a function model of the central air-conditioning system are constructed, and the operation strategy of the central air-conditioning system corresponding to the given cooling capacity is optimized with the purpose of minimizing the power consumption cost, so that the comprehensive energy consumption of the central air-conditioning system is minimized. According to the method, the cooling load prediction result is improved by comprehensively considering various cooling load influence factors and effectively capturing the long-term dependency relationship in historical cooling load data, the comprehensive energy consumption minimization and the power consumption cost minimization of the central air-conditioning system serve as targets, the operation strategy is optimized through simulation combination and energy efficiency comparison, and the energy efficiency of the central air-conditioning system is improved. Therefore, the requirement of a target environment for an efficient and energy-saving central air conditioning system is met.

The invention provides a wind turbine generator array wake flow management method and system for Doppler laser wind measurement, and relates to the technical field of laser, and the method comprises the steps: collecting the real-time wind speed data, wind direction data and turbulence intensity data of each generator in the front and back direction through deploying a Doppler laser radar in a wind turbine generator array; establishing a wake flow influence model containing a wake flow influence coefficient, an attenuation coefficient and a diffusion coefficient based on the data, and calculating to obtain a wake flow influence range, loss power and a recovery distance; according to the method, the wind turbine generator array is cooperatively controlled, and the power generation efficiency of the wind turbine generator array is optimized by adjusting the yaw angle or the pitch angle of the upstream unit and the rotating speed of each unit. The wind speed data acquisition precision of the wind field is improved, the wake flow influence evaluation accuracy is enhanced, and the overall power generation efficiency of the wind field is remarkably improved.

The invention belongs to the technical field of federated learning, and particularly relates to a federated learning method and device based on feature comparison optimization and classifier dynamic integration. The method comprises the steps that a global model is initialized through a server and issued to # imgabs0 clients participating in federated learning, the clients conduct local model updating based on the received global model and train the updated local model, then feature extraction is conducted on a local private data set through a trained local feature extractor, and a local private data set is obtained; the method comprises the following steps: constructing a local model to construct a local feature prototype set, uploading the local model, the local feature prototype set and the total sample size of a client to a server, using a contrast learning technology to improve the quality of a global feature prototype when the server globally aggregates, and finally issuing a global prototype and a global feature prototype set which are obtained by aggregation to each client. And executing the next round of learning until the local model converges or reaches the set communication round.

The invention relates to the technical field of biology, and discloses a chemically modified small nucleic acid drug zero sample prediction method and system based on a large language model and multi-view deep learning. The method comprises the following steps: collecting chemically modified RNA data; performing Token conversion by using an SMILES token regular expression, and performing embedding by using a pre-trained large language model; chemical modification position information is obtained and combined with SMILES in an embedded mode; the RNA sequence is embedded; processing the comprehensive embedded vector by using a self-attention mechanism; fusing RNA sequence embedding and comprehensive embedding by adopting a cross attention mechanism; performing feature extraction and dimension reduction by using a three-dimensional convolutional neural network; and inputting the features into a full-connection layer to predict the drug efficiency. According to the method, high-precision zero-sample prediction of novel chemical modification is realized, the generalization ability and prediction precision of the model are remarkably improved, and a flexible, efficient and accurate method is provided for design and development of RNAi drugs.

The invention provides an unknown key scene identification method and system based on an intersection scene space, and relates to the technical field of intelligent traffic, the method comprises the following steps: constructing a road network model based on topological structures of different types of intersection scenes, the road network model comprising the intersection scene space; scene sampling is carried out in the intersection scene space to obtain a plurality of known key scenes, and the known key scenes comprise at least one known risk factor; a plurality of key scene subspaces are constructed, a first center is determined, and each key scene subspace comprises at least one known key scene; and calculating an orthogonal basis of the key scene subspace, taking the first center as a center, extracting an unknown key scene space in the key scene subspace along the direction of the orthogonal basis, and sampling in the unknown key scene space to obtain an unknown key test scene set. The unknown key scene identified by the scheme is used in the test of the automatic driving technology, and the test comprehensiveness can be improved.

The invention discloses a wireless emergency command broadcasting system and method based on artificial intelligence, and the method comprises the following steps: S1, determining the role of a user in an emergency scene through the wireless identity authentication of terminal equipment; s2, acquiring the specific position of each terminal user through a wireless network in real time, and sensing the surrounding environment information of the user; s3, generating a personalized emergency instruction by using a model based on the combination of the graph attention network and the generative adversarial network; s4, a priority optimization algorithm based on hierarchical reinforcement learning is adopted, and the system dynamically adjusts the priority of the broadcast content; s5, a real-time feedback mechanism is established, and the system dynamically adjusts an emergency instruction and a broadcast strategy according to feedback information of a user through a wireless communication technology; and S6, the emergency instruction is pushed to the user terminal, and optimized pushing is carried out according to the characteristics of different users. According to the method, artificial intelligence and wireless communication technologies are fully utilized, personalized emergency instructions are dynamically generated, and the method has the advantages of accuracy, high efficiency and real-time adaptation.

The invention discloses an industrial equipment fault diagnosis expert online question answering system and method based on vector matching, a user inputs a question description at a client, the system locally or remotely converts the question description into a vector representation and matches the vector representation with a stored question standard description, a question item closest to the question description is determined, and a question item corresponding to the question description is determined; recommending an expert ID which is good at processing the closest problem item; the user sends a remote communication request to an expert corresponding to the recommended expert ID at the client; an expert receives the remote communication request at a client, and remote online communication is established based on websocket and webRTC technologies; the invention aims to provide efficient, accurate and convenient fault diagnosis service through an intelligent expert matching mechanism, a flexible communication mode and perfect record management, so that the overall performance and user experience of fault diagnosis of industrial equipment are improved.

The invention discloses a five-phase permanent magnet motor multi-objective optimization method and a control system thereof, and belongs to the technical field of motor body design optimization and motor control. According to the multi-objective optimization method for the five-phase permanent magnet motor, the optimal optimization value of the motor parameters is obtained based on the genetic aggregation response surface and the multi-objective genetic algorithm, the design variables of the motor are comprehensively considered, and the optimization accuracy is improved; according to the control system of the five-phase permanent magnet fault-tolerant motor, iterative learning control serves as a current control technology and is used for recovering the performance of the five-phase permanent magnet motor under the fault condition, the advantages of iterative learning control and counter electromotive force control are combined, high-performance operation of the motor can be ensured under the fault condition, and the reliability of the five-phase permanent magnet fault-tolerant motor is improved. Ripple-free torque output is realized, and ohmic loss is minimized. The fault diagnosis module of the control system diagnoses short-circuit faults and open-circuit faults by using a time sequence neural network and a Kalman filter, and has real-time performance and strong adaptive ability.

The invention relates to the technical field of robot control, and discloses a robot continuous control-oriented triple optimization SAC reinforcement learning method, which comprises the following steps that a robot executes an initial strategy in a real environment to collect empirical data; initializing a strategy network, a value network and a target network, and performing experience playback and training updating on the strategy network, the value network and the target network through a triple optimization SAC reinforcement learning method; and continuously circulating the network updating process to obtain an optimal control sequence of task execution of the robot. The problem of underestimation is relieved by improving a strategy updating mechanism and stable value function learning, the problem that the robot cannot execute the optimal strategy is solved, underestimation deviation in the strategy is effectively relieved, the accuracy of robot action selection is improved, and more accurate guidance is provided for the robot to adopt correct actions.

The invention relates to the technical field of table lamp production, and discloses an automatic design generation method based on a tool table lamp structure model, which allows a user to select design parameters of a table lamp through a user interface, including shape, size, color, material type and the like, and then automatically generates a three-dimensional structure model of the table lamp by using a parametric modeling method. Constructing a performance analysis model through a machine learning algorithm, and generating performance expression data of the table lamp, including environmental protection, durability and manufacturing cost analysis; optical simulation software is used for simulating the illumination effect of the table lamp, illumination index data are calculated, and meanwhile circuit simulation software is used for conducting function verification and testing on a circuit system of the table lamp; and finally, generating a detailed output file of the desk lamp design for production and manufacturing. Clear and accurate guidance is provided for production and manufacturing, and the production difficulty and cost are reduced.

The invention relates to the field of vehicle network communication, in particular to an automobile attack chain analysis method and device, electronic equipment and a storage medium. According to the method, the security event and the corresponding event data are firstly obtained to provide a basis for subsequent analysis; then, safety key elements in the event data are extracted, a knowledge graph is constructed with the safety key elements and the automobile software and hardware assets, the safety key elements and the automobile software and hardware assets serve as different entity nodes respectively, the association between the different elements is determined in this way, and the problem that the association of attack behaviors is neglected is solved. Then, analyzing the knowledge graph to obtain target malicious nodes to construct an initial attack graph, and analyzing event data to obtain an attack link to update a node relationship of the initial attack graph to obtain a target attack graph, so that a unified description framework is provided for complex attacks; the whole attack process and the relation between the nodes can be clearly known, and the inconsistency of understanding and reaction caused by lack of a unified description framework is avoided.

The invention discloses a full-automatic infrared moxibustion physiotherapy system based on image processing and a positioning method, and relates to a full-automatic infrared moxibustion physiotherapy system and a positioning method. The invention aims to solve the problems of heat concentration, lack of personalized treatment on different parts, inaccurate acupuncture point positioning and slow response in the prior art. The system comprises an image processing module, a mechanical arm control module and a man-machine interaction module. The image processing module is composed of a camera and an image processing platform. The mechanical arm control module is composed of a main controller, a mechanical arm, a temperature sensor, a distance sensor and an infrared moxibustion tail end. The man-machine interaction module is an interaction system with a graphical interface, the interaction system with the graphical interface integrates a real-time image loading function and an automatic acupoint positioning method function, communicates with the mechanical arm main controller through a wireless serial port, sends a G code control instruction and receives and displays position information of various sensors and the mechanical arm. The invention belongs to the technical field of medical instruments.

The invention relates to the field of pedestrian trajectory prediction, in particular to a pedestrian trajectory prediction method, device and equipment based on a progressive refinement strategy. The prediction method comprises the following steps: predicting a current historical trajectory by using a trained prediction model, and outputting a future prediction trajectory; wherein the trained prediction model is obtained by training a built model through a training data set, the training data set comprises multiple groups of trajectory data, and each group of trajectory data comprises a historical trajectory X and a future real trajectory Y; the model comprises a motion mode clustering block, a self-adaptive motion mode refining block, an embedded splicing block, a Transform encoder, a Transform decoder, a track refining block and a classifier. According to the method, the motion mode and the prediction track are gradually refined through the two refining blocks, the adaptability of the model to different scenes is enhanced, and the prediction of complex motion is improved.

The invention discloses a CNC machine tool with an anti-jamming servo tailstock, and relates to the technical field of machine tool equipment.The CNC machine tool comprises a workbench, a machine tool body is arranged at the upper end of the workbench, a spindle box is arranged at the upper end of the machine tool body, a chuck is arranged on one side of the spindle box, a fixing plate is arranged in the machine tool body, and a first servo motor is arranged on one side of the machine tool body; the output end of the first servo motor penetrates through the lathe bed and is provided with a lead screw, two supporting guide rods are symmetrically arranged between the fixing plate and the inner surface of one side of the lathe bed, a moving block is arranged on the outer surface of the lead screw, a tailstock sliding saddle is arranged at the upper end of the moving block, and a mounting table is arranged at the upper end of the tailstock sliding saddle. According to the CNC machine tool with the anti-jamming servo tailstock, the rear center can be stably driven to transversely move, impurities on the surfaces of the lead screw and the supporting guide rod can be efficiently cleaned and automatically lubricated during use, the jamming condition is prevented, and meanwhile, the center base body and the rear center can be conveniently disassembled, assembled and replaced.

The invention relates to a primer and probe combination for nested PCR detection of urinary tract klebsiella pneumoniae and drug-resistant genes and a kit thereof, and primer and probe sequences designed in the invention do not cause cross amplification of other urinary tract pathogenic bacteria, and can meet specific requirements. In addition, exogenous antibiotic interferents such as gentamicin, tobramycin, ceftazidime, levofloxacin, piperacillin and nitrofurantoin have no influence on experimental results, and the anti-interference requirement is met. The prepared kit can be used for simultaneously detecting the urinary tract klebsiella pneumoniae and the drug-resistant gene, and the detection is convenient, simple and reliable. Compared with common strain identification, drug resistance gene detection can guide clinical medication more accurately, and invalid treatment is avoided.

The invention provides a spatial data processing method and system based on a large language model. The method comprises the steps of obtaining to-be-processed target spatial data and storing the to-be-processed target spatial data into a preset spatial database; inputting the target spatial data into a preset large language model to enable the large language model to perform data preprocessing on the target spatial data to generate corresponding processed data; performing data analysis on the target spatial data and the processed data by using a preset data analysis tool to obtain metadata information; storing the metadata information into a preset vector database by using a preset metadata information classification model; and obtaining text information input by a user, performing spatial data processing on the target spatial data by using the large language model according to the text information, the spatial database and the vector database, and outputting a corresponding spatial data processing result, thereby improving the processing efficiency of the spatial data and the use experience of the user.

The invention relates to the technical field of flat wire stator head twisting equipment control, and discloses a process calculation method and system of flat wire stator head twisting equipment and the head twisting equipment, and the method comprises the steps: obtaining a plurality of setting parameters of a head twisting process input by a user; calculating according to the plurality of setting parameters to obtain an operation result; inputting an operation result into a point set formula of each layer of the torsion head module to obtain a data set, wherein the point set formula comprises a parameter equation and a compensation equation of spatial displacement; and writing the data set into a control file of a preset path, and performing a head turning process on the flat copper wire after the flaring process based on the control file. According to the invention, the motion trail of the equipment is approximate to the motion trail of the copper wire bending point, the copper wire is prevented from being scratched due to large relative displacement between the head twisting die and the copper wire bending point, the process trail of the product equipment and the model changing calculation can be quickly carried out, the device can adapt to the production of flat wire products with different specifications, the production efficiency is improved, and the production cost is reduced. The processing time is reduced.

The invention relates to the technical field of generated image editing, and provides a text-guided generated image editing method, which comprises the following steps of: firstly, performing multiple reasoning on an image generated by a given stable diffusion model by utilizing a multi-modal pre-training model BLIP model to generate a plurality of corresponding detailed text descriptions; then, performing intelligent text editing on a description text needing to be edited by using ChatGPT, and modifying a specific visual concept so as to meet a specific editing task for guiding an image; then, a CLIP model is used for calculating text embedding vectors before and after editing, so that the average direction of text editing is obtained; then, the average direction of text editing is added to an original description text embedding vector, the corresponding relation between the text and the image is controlled based on a cross attention mechanism of a stable diffusion model so as to accurately control the text guiding editing process of the image, and based on the average semantic direction of multiple sentences, robustness is achieved, and high isolation is achieved.

The embodiment of the invention discloses a surrounding rock pressure calculation method, device and equipment of a loess shield tunnel and a storage medium, and relates to the technical field of tunnel engineering. According to the scheme, the method comprises the steps that a plurality of sets of working condition data of the loess shield tunnel are obtained, wherein the working condition data are used for representing the moisture content and the tunnel burial depth of a loess layer of the loess shield tunnel; inputting each group of working condition data into a surrounding rock stress numerical simulation model to obtain surrounding rock stress data of each group of working condition data; the surrounding rock stress numerical simulation model is established by combining test data of a loess shield model test with finite element software; determining the surrounding rock pressure type of each group of working condition data according to the surrounding rock stress data; according to all the surrounding rock pressure algorithms corresponding to all the surrounding rock pressure types, the surrounding rock pressure of the loess shield tunnel is calculated, and therefore the accuracy of the surrounding rock pressure of the loess shield tunnel is improved, and accurate guidance is provided for design of the loess shield tunnel.

The invention discloses a continuous fiber reinforced co-extrusion die, a forming line body and a fiber reinforced foaming floor, and relates to the technical field of foaming floors, the continuous fiber reinforced co-extrusion die comprises a die body, the front end face and the rear end face of the die body are a mixed extrusion face and a core material feeding face respectively, and one side face of the die body is provided with a shell material feeding port; a core material supply channel penetrating through the mixed extrusion face and the core material supply face is formed in the mold body, a shell material supply cavity surrounding the core material supply channel is formed in the mold body, two fiber channels are formed in the mold body, the two fiber channels are symmetrically arranged up and down, and the fiber channels are arc-shaped bent channels. The forming line body comprises a continuous fiber reinforced co-extrusion die, a core material extruder and a shell material extruder; a shaping module, a vacuum water cooling group, an open type water cooling group and a traction machine are sequentially arranged on the mixed extrusion surface of the mold body. According to the invention, the overall strength and performance of the composite material are optimized, and uniform distribution and orientation of reinforced fibers are ensured.

The invention discloses a method, a device and equipment for monitoring a vehicle-mounted air filter and a vehicle. The method comprises the following steps of: obtaining alarm pressure of an air inlet resistance sensor according to a theoretical life curve of the vehicle-mounted air filter; the state of the engine and the air inlet resistance measured by the air inlet resistance sensor are obtained in real time; and when it is detected that the engine is in the preset operation state, the air inlet resistance is larger than or equal to the alarm pressure and lasts for preset time, the vehicle is controlled to send out a first alarm signal. The vehicle-mounted air filter is monitored through the existing air inlet resistance sensor of the vehicle, other sensors and communication systems do not need to be added, the structure is simple, and cost is lower. The air inlet resistance measured by the air inlet resistance sensor is directly compared with the alarm pressure, only the air inlet resistance condition needs to be considered, factors such as the air quality and the air inlet amount do not need to be considered, the computational logic is relatively simpler, and the requirement for the operational capability of the ECU is low. The user can be accurately guided to maintain the air filter, and meanwhile, the user can reasonably plan the maintenance time, and normal work is prevented from being influenced.

The invention belongs to the technical field of oil and gas field development, and discloses an experimental device and method for simulating paving of a propping agent in a multi-scale crack system. The experimental device comprises a multi-scale crack system and a fracturing fluid preparation system, the multi-scale crack system comprises a main crack, a first-stage branch crack and a second-stage branch crack; the main crack, the first-stage branch crack and the second-stage branch crack are each of a visual flat plate structure and comprise two visual flat plates which are arranged in parallel, and the side edges of the two visual flat plates are sealed through edge wrapping frames; a plurality of first-stage branch seams are formed in the plate face of the main crack in a communicating mode, at least one second-stage branch seam is formed in the plate face of each first-stage branch seam in a communicating mode, the second-stage branch seams are connected back to the fracturing fluid preparation system through branch seam material returning pipelines, and valves and flow meters are arranged on the branch seam material returning pipelines. The experimental device and method are closer to a fracture network structure of an actual stratum, and the laying condition of the propping agent in the actual fracture network structure can be simulated more accurately.

The invention relates to a geometric calculation teaching method for driving training, which comprises an abstract algorithm framework. According to the framework, teaching points in a driving training project are abstracted into an object algorithm framework with unified characteristics, all point positions in current teaching are calculated in real time according to the current state of a vehicle according to calculation methods of different subjects, a first uncompleted point position is found through traversal, and whether the vehicle reaches the point position or not is judged; the same project has a corresponding method for calculating the position of the point location, the method has a unified data format and calling mode, and a configuration file for configuring the feature of the point location exists for loading of an algorithm framework. According to the method, the teaching point is calculated in real time, corresponding guidance can be provided according to the actual running state of the vehicle, the method is suitable for changes of various vehicle initial postures, effective correction suggestions can be provided when trainees deviate from a standard path, and the effectiveness and flexibility of driving training are greatly improved.

The invention discloses a large-scale language model question-answering system based on health-care knowledge, which retrieves or reasones the most suitable answer from a health-care knowledge base by analyzing the natural language question of a user by utilizing an artificial intelligence technology, and returns the suitable answer to the user in a natural language form. Therefore, by applying a large-scale language model question-answering system in combination with health-care knowledge, accurate and comprehensive health-care question answering and guidance can be provided for the user, and the requirements of the user in the health-care field are met, so that the health consciousness and life quality of the user are improved, and auxiliary diagnosis and treatment suggestions can be provided for medical institutions and professionals.

The invention provides a numerical simulation method and system for a high-strength energy-absorbing supporting system, and belongs to the technical field of underground engineering supporting. According to the scheme, the tensile test stress process of a high-strength energy-absorbing anchor rod or anchor cable is divided into an elastic stage, a constant resistance stage, a fracture stage and a failure stage; by combining constitutive equations and mechanical parameters obtained by an anchoring test and a static tensile test of the high-strength energy-absorbing anchor rod or anchor cable, the problems that in the prior art, when a structural unit is adopted to simulate the anchor rod and the anchor cable, even if the rod body reaches the ultimate elongation, the rod body cannot be broken, and the mechanical characteristics of the anchor rod and the anchor cable cannot be finely simulated can be effectively solved; by adopting the entity unit to construct the numerical model of the high-strength energy-absorbing supporting column, simulation of large deformation and energy absorption of the supporting column can be effectively achieved, then numerical simulation of a high-strength energy-absorbing supporting system under different working conditions can be achieved, and accurate guidance is provided for supporting design of a high-strength energy-absorbing surrounding rock control system.

The invention discloses a fault processing method and device, equipment and a medium, and belongs to the technical field of servers, and the method comprises the steps: setting a security network configuration item and an error processing configuration item for a manager port, and obtaining processor register information in response to fault alarm information received through a manager, the processor register information comprises a current fault diagnosis state, and whether fault diagnosis source data are collected or not is judged according to the current fault diagnosis state; in response to the collected fault diagnosis source data, judging whether the system is subjected to soft restart or not according to the error processing configuration item; and in response to soft restart of the system according to the security network configuration item, determining a fault type according to the fault diagnosis source data, and performing automatic analysis processing on the fault according to the fault type. Through compatibility of hardware and software, after a fault occurs, the manager can automatically collect fault source data and process the fault, and the correctness of fault processing is improved.

The invention discloses a bidding agent quality management method, system and equipment based on project management. The method comprises the following steps: constructing a project management standard and forming a plurality of project management nodes of a project management network structure; obtaining bidding and tendering project information to be managed and carrying out standardized preprocessing to obtain preprocessed project information; performing type and feature analysis on the preprocessed project information to obtain project feature information; performing compliance and risk assessment on the preprocessed project information to obtain an assessment result and a corresponding risk level identifier, associating and matching project management nodes of a project management network structure, and determining to obtain an initial project management scheme; matching a corresponding quality management standard according to the project feature information and the risk level identifier, and performing optimization adjustment on the initial project management scheme to obtain a target project management scheme for project management; according to the invention, the overall management level and service quality of the bidding agency service are improved, and the efficiency of the bidding agency service is improved.

The invention relates to the technical field of agricultural science, and discloses a data processing method and device, computer equipment, a storage medium and a program product. The method comprises the steps that current object data are acquired, and the current object data comprise object data and meteorological data in a current generation interval; performing data conversion processing on the object data and the meteorological data in the current generation interval to obtain target processing data; inputting the target processing data into a pre-trained object prediction model, and outputting target object data of a next generation interval through the object prediction model; wherein the object prediction model is obtained by training object data samples and meteorological data samples in a plurality of historical generation intervals. By implementing the technical scheme of the invention, the target object data of the next generation interval can be predicted based on the object data and the meteorological data in the current generation interval, and the prediction efficiency is improved.

The invention provides a mobile network performance evaluation method and device, electronic equipment and a storage medium, and relates to the field of wireless communication. The evaluation method comprises the following steps: acquiring network performance original data based on wireless call record trace data and application layer service OTT data under a target cell within a sampling period; performing corresponding data processing on the network performance original data based on the trace data and the OTT data to obtain network performance indexes based on the trace data and the OTT data; and fusing the network performance indexes based on the trace data and the OTT data to obtain a multi-dimensional network performance index system based on fused data, which is used for evaluating the mobile network performance of the target cell. The method and the device are used for at least solving the problem that wireless network quality evaluation in the prior art cannot truly reflect real perception and use experience when a user accessed to a network uses the network to carry out various applications. The method is suitable for scenes such as network evaluation and optimization.

The invention discloses a forest stand structure optimization method and device and a medium, and relates to the field of forest management in forestry scientific research, and the method comprises the steps: determining a forest tree structure unit of each structure parameter of each object tree according to the forest stand survey data of a to-be-optimized forest stand structure, determining structure parameters according to object trees and adjacent trees in the forest tree structure units; determining a forest structure unit evaluation index according to each structure parameter so as to determine a to-be-cut object tree; and determining a forest stand structure evaluation index of the to-be-optimized forest stand overall structure according to the structure parameter corresponding to each object tree so as to determine the cutting strength. According to the method, the forest stand structure can be guided and optimized more accurately and scientifically.