72results about How to "Reduce overload" patented technology

The invention discloses an AGV task allocation method and system, and relates to the technical field of automatic navigation trucks, and the method comprises the steps: carrying out the initialization of AGV state information; acquiring environment information in real time through ground sensor equipment; performing priority evaluation on the task instructions, and adjusting task priorities in real time according to emergencies; task merging and splitting are carried out; task allocation is carried out by using an ant colony algorithm, and a task allocation result is output to the corresponding AGV to guide the AGV to execute operation according to the allocated task; an optimal path is planned for each AGV, and path planning is dynamically adjusted in the task execution process of the AGVs; and optimizing a task allocation algorithm by adjusting a pheromone volatilization coefficient. Limited AGV resources are reasonably scheduled by arranging a task instruction obtaining module, a task information processing module and a task planning and distributing module, high environment perception and adaptability are achieved, and task priorities and path planning can be rapidly adjusted.

The invention discloses a method and a system for realizing mine communication signal improvement based on edge computing, and relates to the technical field of mine communication signal improvement, and the method comprises the following steps: integrating a real-time monitoring system on each edge node, so as to continuously detect the fluctuation of communication flow and data request quantity, the real-time monitoring system identifies a potential communication peak period by collecting real-time data and generates an early warning signal to notify a network administrator or automatically trigger a load management program. According to the invention, through the real-time monitoring and early warning system on the edge node, active monitoring and peak prediction of mine communication are realized, the overload risk caused by traffic surge is reduced, and the stability of data transmission is ensured. And intelligent scheduling and dynamic resource allocation are combined, so that efficient execution of tasks under high load is ensured, and node overload is prevented. A self-adaptive load balancing and feedback mechanism enables the system to dynamically adjust distribution, quickly respond to a bottleneck and improve self-adaptability and stability.

The invention provides an energy storage system power distribution method based on battery pack health state prediction, and the method comprises the steps: constructing a hybrid neural network model for predicting the health state of a lithium ion battery through combining a convolutional neural network and a long short-term memory network, and optimizing the parameters of the hybrid neural network model through employing a Bayesian algorithm. The battery pack health state prediction precision of the model is improved; in combination with the provided lithium ion battery prediction model, a battery pack charging / discharging priority ranking rule based on an entropy weight method is provided; a battery pack power optimization distribution strategy is established by taking the consistency of the state of charge of the battery pack as an objective function and taking the state of charge and the state of health of the battery pack as evaluation indexes, so that energy optimization distribution of the energy storage system is realized, the service life of an old battery is prolonged, overcharge and overdischarge of a single battery are avoided, and balance of the state of charge of the battery pack is realized.

The invention relates to the technical field of data detection, and discloses a real-time big data stream processing and anomaly detection system, which comprises a data acquisition module for collecting big data streams from a plurality of sources in real time, and the data acquisition module is equipped with an intelligent adapter for automatically identifying and adapting to data sources of different formats and protocols; the high-performance data preprocessing module is integrated with dynamic data cleaning, analysis and standardization functions and is used for processing the collected big data flow; the distributed stream computing platform is used for executing complex data analysis and computing tasks by real-time data streams; the anomaly detection module integrates a machine learning algorithm and a statistical analysis algorithm, and the algorithm is an unsupervised anomaly detection algorithm; the system can efficiently process real-time big data streams and accurately detect anomalies, and has intelligent resource management and strong safety protection capabilities. An advanced unsupervised anomaly detection algorithm is adopted, and a visual monitoring and alarm mechanism is provided.

The invention discloses an electrical equipment operation fault monitoring system, and belongs to the technical field of electrical equipment fault monitoring. Through combination of various sensors, comprehensive real-time monitoring of electrical equipment is realized, running state data of the equipment is captured in real time, comprehensiveness and accuracy of the data are ensured, potential equipment fault types can be accurately identified through digital processing and deep feature extraction, the accuracy and timeliness of fault diagnosis are effectively improved, and the fault diagnosis efficiency is improved. Operation data of multiple devices are integrated through the industrial Internet of Things, the range and precision of fault diagnosis are improved through data sharing and multi-device correlation analysis, faults jointly caused by the multiple devices are comprehensively analyzed and positioned, an intelligent fault diagnosis and optimization scheme is provided for a complex device group, and the fault diagnosis efficiency is improved. The data aggregation optimization unit effectively optimizes the overall operation state of the equipment by adjusting the operation parameters of the equipment, avoids the problems of load imbalance and the like, and improves the operation efficiency of the system.

The invention relates to the technical field of distributed storage, and particularly discloses a distributed storage data self-adaptive load balancing method and system, and the method comprises the steps: distributing data to each node in distributed storage based on a consistent Hash algorithm; key index values of all the nodes are collected in real time, whether the key index values of all the nodes exceed a first set threshold value or not is judged, or whether the response time efficiency of key data obtaining exceeds a second set threshold value or not is judged; if yes, evaluating and sorting the performance of each node in the distributed storage based on an entropy weight method and TOPSIS to obtain a sorting result; positioning nodes with better performance based on a sorting result; migrating the data or the key data under the nodes of which the key index values exceed a first set threshold value to the nodes with better performance; according to the method, intelligent migration of the data to the low-load node is realized, so that the problem of non-uniform data distribution is effectively improved, and the overall performance and reliability of the system are improved.

The invention relates to the technical field of wireless distribution network control, in particular to a high-speed low-delay distribution network three-remote system and method based on 1.4 GHz wireless communication, and the system comprises a channel management and distribution module which is based on a 1.4 GHz frequency band, reads the channel bandwidth utilization rate and interference level, counts the occupied time, divides the frequency band, and adjusts the frequency reuse proportion; and allocating a transmission frequency, optimizing spectrum allocation according to a bandwidth requirement and a transmission rate, and generating a channel frequency configuration table. According to the invention, by dynamically adjusting the frequency reuse proportion and allocating the transmission path frequency, the utilization rate of frequency spectrum resources is improved, the overload phenomenon of a channel is reduced, the high efficiency and stability of communication are ensured, and the overall transmission quality is improved by detecting interference signals and frequency spectrum fluctuation in real time, optimizing the signal transmission state and avoiding signal interference. The path interference risk is analyzed in advance through fast Fourier transform, potential transmission interruption is avoided, the stability of data transmission is ensured, and data loss is reduced.

The utility model discloses an activated carbon adsorber capable of improving adsorption efficiency and adsorption capacity, and relates to the technical field of activated carbon adsorption equipment, the activated carbon adsorber comprises a filter box body, a filter assembly is arranged in the filter box body, and the filter assembly comprises two activated carbon filter plates which are arranged in the filter box body in a sliding manner; the two activated carbon filter plates are parallel to each other and are arranged in a staggered manner; according to the utility model, through the arrangement of the movable activated carbon filter plates, when one filter plate is gradually saturated, the filter plate can be moved into the purification box for purification or regeneration treatment, and the other unused filter plate is moved into the filter box body for continuously filtering waste gas, so that the overall adsorption capacity is effectively improved through the design; the adsorber can continuously and efficiently treat waste gas; in the adjusting process, the activated carbon filter plate does not need to be replaced by shutdown, so that production interruption and efficiency reduction caused by replacement of the filter plate by shutdown are avoided.

The invention relates to the field of content generation, and particularly discloses an automatic content generation system and method based on user data, which comprises the following steps: firstly, acquiring keyword text data input by a user and a history browsing news manuscript, then performing feature extraction and correlation analysis on the keyword text data and the history browsing news manuscript by using a deep learning technology, and finally, generating a content through a generator. According to the method, the user personalized news manuscript recommendation is generated, so that the requirements and interests of the user are more accurately understood, the problem of information overload is effectively reduced, and the user experience and the information acquisition efficiency are improved.

The invention belongs to the technical field of unmanned aerial vehicle inspection control, and particularly relates to a power distribution network target identification and tracking method and system based on an intelligent unmanned aerial vehicle. Severe inspection environment identification is carried out in the inspection process, and multi-source inspection is carried out by using a multi-source inspection terminal in combination with different types of sensor data in the severe inspection environment; according to the method, the target recognition capability is enhanced, effective detection can be carried out even under the condition that vision is limited, meanwhile, multi-source inspection data comprises operation temperature data, comprehensive and effective inspection in a severe inspection environment is achieved, and in addition, the obstacle recognition and the dynamic tracking of the inspection result are carried out in the severe inspection environment, so that the inspection efficiency is improved. Therefore, obstacle recognition and tradeoff adjustment of the inspection frequency are carried out, so that resources and time can be more concentrated on places needing to be concerned actually, and the resource utilization efficiency, the data processing capability, the fault response capability and the system stability of inspection work can be remarkably improved.

The invention relates to the technical field of intelligent sports data analysis, in particular to an intelligent sports data analysis method and system based on the Internet of Things and a medium. The method comprises the following steps: acquiring real-time state data of physical exercise of an athlete through an intelligent bracelet worn by the athlete; based on an electronic video recording device, motion posture data mapping is carried out according to the real-time state data of the athletes in physical exercise, and motion posture mapping data is obtained; performing instantaneous explosive power evaluation on the motion attitude mapping data, performing abnormal load limit coupling processing, and performing motion risk level evaluation to obtain motion risk level data; making an intelligent motion feedback strategy based on the motion risk level data to obtain the intelligent motion feedback strategy; and sending the intelligent motion feedback strategy to the intelligent bracelet to execute sports data analysis. The intelligent sports data analysis technology is optimized, so that the intelligent sports data analysis technology is more perfect.

The invention relates to an Internet of Things equipment deployment and control management method, in particular to a building Internet of Things equipment deployment and control management method. Comprising the following steps: deploying various sensors including an infrared sensor, a camera and an air quality sensor in a building, and collecting personnel flow and environment change data in real time; through data analysis and scene classification, the data are converted into scenes including office peaks, night modes and emergency evacuation of the building; training a scene recognition model by using a random forest classifier; a time sequence prediction model is adopted to predict scene change in a future short period, and a corresponding equipment control instruction is generated; the method comprises the following steps: establishing an incidence matrix of use frequency, spatial position and function interaction between devices by using sensor data, and identifying a device cooperation mode; dynamically generating an equipment deployment scheme through a graph theory algorithm based on the incidence matrix; issuing the generated deployment scheme to each equipment control node; and performing fine adjustment according to real-time data feedback.

The invention relates to the technical field of books, and discloses a book recommendation system which comprises an acquisition module, an analysis module and a feedback adjustment module. According to the book recommendation system, keyword classification tags are arranged in tag units, book keyword numbering is carried out on books and the keyword classification tags, and reading features of users are calculated and analyzed according to a user basic information set, a user historical reading information set and a user reading interest set; user keyword numbering is carried out on the reading features and keyword classification labels, then keyword comparison sorting marking is carried out on book keyword numbers and user keyword numbers, the book keyword numbers and the user keyword numbers are sent to a feedback adjustment module, reading feedback is carried out according to recommended sorting marks, and multi-dimensional information of the user is comprehensively analyzed; according to the method and the system, personal interests and demands of the user can be captured more accurately, more personalized book recommendation is provided, the user can find books meeting own interests more quickly, and the system can adjust the books through a feedback mechanism.

This invention discloses an EMC visualization guidance method based on EMC data assets, belonging to the field of EMC design assistance technology. It includes: identifying the visualization object and obtaining its identification information; retrieving matching quantitative data using the identification as an index, generating a supplementary data request form when data is missing; mapping the quantitative data into expert-style graphical elements to generate a visualization guidance interface, progressively displaying basic physical concepts, coupling paths, three-layer protection, test types, process assets, and decision reporting views; receiving user interaction commands, recording the operation sequence and corresponding visualization status during historical operation sequence playback, forming an operation sequence and status snapshot data asset and assigning multi-dimensional searchable tags; and generating visualization output based on this data asset. This invention transforms abstract EMC data into intuitive graphics, records the key evolution of the design and diagnostic process, supports timeline playback, analog guidance, and cross-domain reuse, realizing the digital accumulation and efficient reuse of design experience.

The invention provides a wind power plant power coordination control method and device considering safety, and relates to the technical field of wind power plant power coordination control. The coordination control method comprises the following steps: acquiring environment data and equipment state data around the working environment of a wind turbine generator in real time; the environment parameters and the equipment state parameters are subjected to data preprocessing, a self-adaptive control model is established based on the processed data and a theoretical power output formula of the wind turbine generator set, the output power of the wind turbine generator set is set, and when it is monitored that the power exceeds a safety threshold value, the system automatically triggers an alarm. And immediately adjusting the power output of the wind turbine generator or adjusting the angle of the blades of the wind turbine generator. After the wind turbine generator is shut down, the system can judge whether normal operation can be recovered or not according to the safety coefficient information. According to the method, the operation state of the wind turbine generator can be monitored in real time, the output power is dynamically adjusted, the equipment fault risk is effectively reduced, and the stability and safety of wind power generation are optimized.

The invention discloses a UPF overload control processing method and a related device, and belongs to the technical field of 5G core network communication, and the method comprises the steps: obtaining overload control information from a first UPF network element; determining a first number of accessed users to be reduced from the accessed users of the first UPF network element according to the overload control information; determining idle state users in accessed users of the first UPF network element, and selecting a corresponding number of target idle state users from the idle state users according to the first number; determining at least one second UPF network element satisfying a load condition from the communication network; and migrating each target idle state user from the first UPF network element to the at least one second UPF network element, and controlling each target idle state user migrated to the corresponding second UPF network element to be in an idle state. The problem of overload of the UPF is quickly solved, and meanwhile, the proportion of failure of the user session updating process is reduced as much as possible.

This invention relates to the field of feed science and technology, specifically to a feed preparation method for improving the appearance, oiliness, and color of pig concentrate. The concentrate consists of a main ingredient and auxiliary ingredient system. The main ingredient core includes 100-350 parts of 46% protein dehulled soybean meal, 150-300 parts of high-temperature, high-pressure hydrolyzed feather meal, 15-30 parts of grade IV degummed soybean oil, and 15-40 parts of phospholipid oil powder, etc.; the auxiliary ingredients include fruit and milk flavoring agents that target the olfactory preferences of growing pigs. The process strictly limits the pore size of the bulk plant raw materials to 1.5-2.0 mm and uses lipid emulsification spraying technology to construct a "reflective microemulsion film" on the powder surface. This invention utilizes the optical superposition of the solid golden color of hydrolyzed feather meal and the deep yellow color of grade IV soybean oil to give the product a golden, delicate, and long-lasting glossy appearance. Furthermore, the solution overcomes the palatability bottleneck of high-proportion feather meal replacing conventional protein, effectively improving the daily weight gain of pigs and significantly reducing the rate of hindgut diarrhea.

The invention provides stem cell-derived apoptotic extracellular vesicles (ApoEVs) with an iron homeostasis regulation effect and application of the stem cell-derived apoptotic extracellular vesicles in preparation of a medicine for treating iron-deficiency anemia, and belongs to the technical field of biological medicines. The ApoEVs is an outer vesicle separated from apoptotic cells derived from human periodontal ligament stem cells, and can effectively recover the iron level in low-iron cells induced by DFOM, up-regulate the expression of iron storage protein and regulate the level of iron export protein, thereby improving the iron homeostasis of the cells. Meanwhile, the ApoEVs have good biocompatibility and safety, and a new strategy is provided for treatment of iron-deficiency anemia.

The invention relates to a perovskite battery based on a co-doped nickel oxide-based hole transport layer and a preparation method of the perovskite battery. The perovskite battery sequentially comprises a conductive substrate, a hole transport layer, an ionic liquid modification layer, a perovskite active layer, an electron transport layer, a hole barrier layer and a metal electrode layer from bottom to top, and the hole transport layer is a Li-Nb co-doped nickel oxide thin film. According to the invention, by introducing the Li and Nb elements, the hole concentration and mobility can be synergistically improved, the energy level arrangement can be optimized, the morphology and crystallinity of the thin film can be improved, the problems of insufficient conductivity, energy band mismatch, interface recombination and the like of NiO-based HTL can be solved, and finally, the perovskite solar cell with higher efficiency, stability and reliability can be realized. The ionic liquid modification layer is also introduced, so that the interface contact between the thin film and the perovskite material can be improved, the contact side reaction is inhibited, and the service life of the perovskite battery is prolonged.

The invention relates to the field of load side energy-saving energy management, in particular to a power system load side energy-saving energy management system, which comprises a data acquisition module, a data analysis module, an intelligent control module, an energy-saving optimization module and a night electricity storage module. The intelligent control module carries out processing according to the signals sent by the data analysis module, the energy-saving optimization module carries out energy saving on different areas of a commercial building according to the received energy-saving signals, and the night electricity storage module carries out charging and electric energy storage according to the off-peak period of the power grid load at night. Energy waste is reduced, the electricity utilization cost of a user is reduced, and the method has important significance in promoting sustainable development and coping with climate changes.

The utility model provides a feed additive granule surface coating polishing all -in -one, including body, coating drum, translation plate, reciprocating drive mechanism, liquid supply mechanism. The upper end of coating drum has the feed inlet, is provided with the shower nozzle on the translation plate, every shower nozzle all sets up to the coating drum inside towards, reciprocating drive mechanism drives translation plate to move back and forth along the straight line at the feed inlet position. The shower nozzle is driven under the translation plate and carries out reciprocating spraying work to the inside of the drum at the feed inlet, and the dynamic spraying structure is formed with the cooperation of liquid supply mechanism, and the shower nozzle can uniformly spray the spraying liquid to the granule surface of tumbling in the coating drum in the movement process. Compared with traditional fixed shower nozzle structure, the spraying coverage is significantly expanded, the spraying "blind area" and the repeated spraying area are effectively reduced, the utilization rate of the spraying liquid and the uniformity of the granule surface coating are improved, and the consistency and stability of the product quality are improved.

The invention relates to the technical field of intelligent factory production management, and particularly discloses a digital intelligent factory production management method based on a block chain, and the method comprises the steps: laying a camera at a product falling port of target production equipment, thereby collecting the images of all workpieces in the same batch corresponding to the target production equipment, determining the quality score of each workpiece in the same batch corresponding to the target production equipment; the production state evaluation coefficient of the target production equipment is evaluated, and then the production efficiency of the target production equipment is obtained through derivation; and finally, the number of the workpieces correspondingly allocated to the target production equipment by each production task is calculated, the number of the workpieces correspondingly allocated to the target production equipment by each production task is fed back to the equipment control terminal, and the equipment control terminal correspondingly processes the target production equipment, so that potential performance fluctuation or faults of the equipment can be found in time, and the production efficiency is improved. The equipment is ensured to operate in an optimal state; meanwhile, distribution of production tasks is dynamically adjusted based on the production efficiency of the equipment, and resource utilization can be optimized.

This invention discloses a coal flow capacity matching optimization method and system based on the Kuanghong platform, belonging to the field of intelligent coal mine transportation technology. It acquires belt conveyor operation data and coal flow monitoring data collected by the Kuanghong platform to construct a coal flow transportation topology. For adjacent transportation nodes, it extracts the coal flow front-end discrete factor and capacity response margin factor, calculates the coal flow propagation offset characteristics, and determines the coal flow transmission delay. Based on the coal flow transmission delay, it compensates for the upstream and downstream coal flow time series, generates upstream and downstream coal flow correlation data, and calculates capacity matching parameters. Based on the capacity matching parameters, it determines the target adjustment amount and issues adjustment commands through the Kuanghong platform to adjust the belt conveyor operating speed. After adjustment, it acquires coal flow feedback data, generates transportation status change characteristics, and identifies abnormal transportation nodes when abnormal judgment conditions are met, outputting fault warning information. This invention can improve the accuracy of coal flow capacity matching and the timeliness of fault warning.

The present invention relates to the field of building energy-saving control for construction sites, and specifically to a building energy-saving control system for construction sites. The system includes an energy monitoring module, an environmental monitoring module, an equipment management module, an energy analysis module, an environmental analysis module, a personnel positioning control module, and a real-time scheduling module. The equipment management module is used to maintain and manage various construction site equipment at the construction site. The personnel positioning control module uses positioning technology to obtain the distribution of construction personnel on site, and then reasonably allocates energy to the energy needs of different equipment. The real-time scheduling module intelligently controls the lighting and ventilation equipment in a specific area based on the environmental parameters obtained in real time. The present invention makes it possible to monitor energy consumption in real time and intelligently control the operation of equipment, laying a solid technical foundation for the research and development and application of building energy-saving control systems for construction sites.

The invention belongs to the technical field of aviation flight control, and particularly discloses an intelligent aircraft turning regulation and control system, which comprises a data acquisition and preprocessing module for collecting flight data and preprocessing the collected flight data; the DQN intelligent optimization module outputs an optimal turning action a based on the aircraft state s to realize an optimal turning strategy; and importing the DQN intelligent optimization module into airborne equipment, adjusting control parameters of the airplane by the DQN intelligent optimization module, and controlling the airplane to complete turning action. According to the method, a real-time optimization model is established by utilizing a Deep Q-Network (DQN) deep reinforcement learning algorithm, the model can adaptively calculate the optimal turning angle, gradient and turning rate according to multivariate information such as current state parameters, environmental factors and air route planning targets of the aircraft, and safer and more efficient autonomous turning operation of the aircraft in a complex environment is realized.

The invention relates to an energy management method and system suitable for an electric vehicle charging station. The method comprises the steps that related electrical parameters of the charging station and energy management data of the charging station are acquired; establishing an energy management learning network of the charging station; training the energy management learning network to obtain a well trained energy management learning network; and the energy of the charging station is managed through the well-trained energy management learning network. According to the invention, multi-parameter collaborative accurate scheduling is realized, the operation cost of the charging station can be reduced, the voltage fluctuation of the DC bus is controlled, the SOC value of the super energy storage system is maintained in the optimal interval, the energy utilization efficiency and the stability of the power distribution network are improved, and the large-scale and intelligent operation requirements of the charging station are met.

The invention relates to the technical field of liquid chromatographs, in particular to a column oven centralized control method and system and a control circuit of a column oven. The method comprises the following steps: an upper computer obtains current temperature values of column temperature boxes in a plurality of liquid chromatographs in each group in real time through the Internet of Things; the upper computer determines a difference value distribution mode between the current temperature values of all the column temperature boxes in the current group and a preset target temperature value based on the current temperature values of the column temperature boxes in the plurality of liquid chromatographs in each group; if the difference value distribution mode meets a first preset condition, the upper computer starts a centralized cooperative control mode; and if the difference value distribution mode meets a second preset condition, the upper computer starts a decentralized autonomous control mode. According to the invention, the temperature control efficiency of a plurality of liquid chromatographs can be improved, and the energy consumption cost can be effectively reduced and controlled; meanwhile, the device also has an over-temperature protection function; in addition, when liquid leakage is detected, heating can be automatically stopped, and an alarm is given to ensure safety.

The invention discloses an efficient stirring silver colloid feeding adjusting device in the technical field of stirring silver colloid feeding. The efficient stirring silver colloid feeding adjusting device comprises a base, a hopper and an induction spring, wherein the hopper and the base are arranged in a sliding mode, and the induction spring is fixedly arranged between the hopper and the base; the feeding opening is formed in the bottom of the base; the adjusting plates are slidably arranged at the bottom of the side wall of the base in pairs; the synchronous structure is used for driving the adjusting plate to move reversely; the shifting disc is rotationally arranged at the bottom of the base; the material supplementing pipe is fixedly arranged with the material stirring disc; the baffles are arranged in pairs, are respectively arranged at the upper end and the lower end of the material supplementing pipe and are jointly fixed with the hopper; the transmission structure is used for driving the material shifting disc to rotate; the reciprocating structure drives the adjusting plate to move reversely through the synchronous structure; the triggering structure drives the material stirring disc to rotate through a transmission structure and drives the adjusting plate to move reversely through a reciprocating structure and a synchronous structure; according to the front, middle and later periods of high-speed movement of the stirring shaft, different amounts of silver powder are put, uniformity and rapidness of the silver powder are guaranteed, and meanwhile the stirring shaft is protected.

The invention belongs to the field of artificial intelligence and medical treatment, and relates to an online inquiry method capable of sending pictures, which comprises the following steps: acquiring a reception log set of a real doctor, screening out pictures sent to a patient by the doctor, and obtaining an initial picture set; performing clustering processing on the initial picture set to obtain a middle picture set, and selecting a preset number of pictures from each cluster according to the picture use frequency to obtain a target picture set; performing text mapping on the target picture set to obtain text description of each target picture, and taking the text description and the corresponding target picture as training data; training the initial inquiry model by using the training data to obtain a target inquiry model; and acquiring inquiry information sent by the patient, identifying the inquiry information by using the target inquiry model to obtain picture information and a binding text corresponding to the inquiry information, and feeding back the picture information and the binding text corresponding to the inquiry information to the patient. In addition, the invention also relates to a block chain technology, and inquiry information and the like can be stored in a block chain. According to the invention, the accuracy of online inquiry can be improved.

The invention discloses an optimal guidance method with geometric constraint impact angle control based on a genetic algorithm. The optimal guidance method comprises the following steps: establishing a proportional guidance law missile-target geometric mathematical model of a missile; the guided missile adopts a two-section variable gain guidance law guidance scheme, and proportional guidance coefficients are recorded as N1 and N2; constructing a relation between variable gain guidance law coefficient switching and a target view angle under the constraint of an expected missile falling angle; a plurality of groups of N1 and N2 meeting the relation are randomly selected, solving is conducted through a genetic algorithm, the N1 and N2 of the optimal individual are screened out to serve as the proportional guidance coefficient guided by the two-section variable gain guidance law, and the guided missile conducts proportional guidance control according to the guidance coefficient. According to the method, a simple control mode can be achieved, the tail end falling angle can be precisely restrained, and the contradictory relation between a guidance law control mode and falling angle constraint which is difficult to solve through traditional proportional guidance and offset proportional guidance rate is solved.