37results about How to "With a clear purpose" patented technology

The invention discloses an approximate analysis method for nonlinear jump buckling critical load of an asymmetric arch bridge, which comprises the following steps of: deducing to obtain an in-plane geometric nonlinear equilibrium equation of the asymmetric arch bridge based on an Euler-Bernoulli beam theory and a virtual work principle by taking the asymmetric arch bridge under the action of uniformly distributed load as a research object, and then calculating the nonlinear jump buckling critical load of the asymmetric arch bridge by introducing an asymmetric degree coefficient gamma of an arch foot. Deducing to obtain approximate analysis of geometric nonlinear displacement in the asymmetric arch bridge surface; deducing a post-buckling equilibrium differential equation of the asymmetric arch bridge based on a virtual work principle to obtain an internal force condition and critical load approximate analysis of branch point buckling of the asymmetric arch bridge under two boundary conditions; and finally, through the characteristic that the nonlinear jump buckling critical load corresponds to an extreme point in a buckling behavior curve when the nonlinear jump buckling critical load is unstable, deriving to obtain approximate analysis of the nonlinear jump buckling critical load of the asymmetric arch bridge. According to the method, the solving workload of engineering personnel on the geometric nonlinearity in the asymmetric arch bridge structural plane can be effectively reduced.

The invention relates to the technical field of fire point detection, and particularly discloses a fire point monitoring method and system based on optical signals, and the method comprises the steps: collecting the position of an unmanned aerial vehicle in real time, calculating the real collection parameters of the unmanned aerial vehicle according to the position, comparing the real collection parameters of each unmanned aerial vehicle with the corresponding standard collection parameters, and determining the fire point of the unmanned aerial vehicle. Predicting a fire point position; based on the fire point position, reading acquisition data of all the unmanned aerial vehicles as monitoring data, and uploading the monitoring data to a detection platform; wherein when the unmanned aerial vehicle moves along the acquisition path, the movement speed is adjusted based on the optical signal; a part of the recognition process is transferred to the unmanned aerial vehicle, low-performance recognition is synchronously performed in the working process of the unmanned aerial vehicle, the movement speed is adjusted according to the recognition result, the total end only needs to analyze the position of the unmanned aerial vehicle, which position possibly has abnormity can be preliminarily judged, the response speed is high, and in the subsequent image fine recognition process, the recognition efficiency is greatly improved. The method has a clear target and is very high in efficiency.

The invention discloses a coal mine cemented filling slurry flowing property requirement design method which comprises the following steps: respectively designing tests and establishing a database by taking the flowing property and the stability of cemented filling slurry pipeline transportation as research targets; the flow property requirement of the cemented filling slurry in engineering application is comprehensively reflected by utilizing the rheological property index and the settling property index of the cemented filling slurry; the comprehensive flowing property index of the filling slurry with engineering applicability is obtained, and the suitable cemented filling slurry is selected. Through the design of the flowing property requirement of the filling slurry, a design basis can be provided for a mine filling pipeline system, and the situation that the underground filling effect is poor due to unreasonable slurry parameter design is avoided; and pipe blockage and pipe explosion accidents caused by poor fluidity of the slurry can be prevented, and the abrasion of a pipeline system is reduced, so that the stability of the filling slurry in the conveying process is improved, the management of a filling system by mine enterprises is facilitated, and important engineering significance and popularization and application values are realized.

According to the method and the system for screening the multi-metal oxide positive electrode material of the lithium ion battery based on the neural network provided by the invention, the database of the multi-metal oxide positive electrode material of the lithium ion battery is constructed according to the multi-element feature descriptor of the multi-metal oxide positive electrode material of the lithium ion battery; performing deep neural network prediction model training according to the preprocessed database of the multi-metal oxide positive electrode material of the lithium ion battery, and evaluating the trained deep neural network prediction model of the multi-metal oxide positive electrode material of the lithium ion battery. And performing performance prediction and screening on the lithium ion battery multi-metal oxide positive electrode material by using the evaluated deep neural network model of the lithium ion battery multi-metal oxide positive electrode material, the deep neural network having a nonlinear modeling capability and a capability of automatically learning distinctive features. And the complex nonlinear relationship between the characteristics and the performance of the metal positive electrode material can be captured.

The invention provides a respiratory training method for rapid recovery of lung functions after general thoracic surgery, and belongs to the technical field of medical rehabilitation, the respiratory training method for rapid recovery of lung functions after general thoracic surgery comprises the following steps: performing preoperative evaluation, measuring parameters such as vital capacity, making a personalized training plan in combination with age, basic diseases and operation types, and establishing a personalized training plan for rapid recovery of lung functions after general thoracic surgery; the method is divided into an early stage, a middle stage and a later stage, and abdominal respiration and lip contraction respiration training is carried out in the early stage; in the middle stage, deep respiration and excitation type spirometer training are increased; resistance breathing and breathing exercise training is conducted in the later stage, parameters such as breathing frequency and subjective feeling of patients are closely monitored in the training, the training intensity and method are adjusted according to conditions, accurate training can be conducted according to individual differences of the patients, the lung function rehabilitation efficiency is effectively improved, complications are reduced, and the life quality of the patients is improved. The device is suitable for general thoracic surgery postoperative patients.

The invention provides a software testing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a to-be-tested process; target threads associated with the to-be-tested process are determined, performance data of each target thread is recorded, and the target threads comprise threads with preset configurable attributes corresponding to the to-be-tested process and a preset number of threads with the highest resource occupancy rate on at least one resource; and obtaining a test result of the to-be-tested process according to the running log related to the to-be-tested process and the recorded performance data of each target thread at different moments.

The invention belongs to the technical field of wireless communication, and provides a joint optimization method for auxiliary communication of a flight ad hoc network (FANET), which optimizes a flight path and a data routing path of an unmanned aerial vehicle group in real time to form the FANET, assists relay communication of a ground wireless sensor, meets the application requirement of low-delay communication of a wireless sensor network (WSN) in the field of real-time monitoring, and improves the real-time monitoring performance of the WSN. The method comprises the following steps: (1) constructing a multi-unmanned aerial vehicle and WSN data routing transmission system model; (2) establishing a joint optimization problem of FANET auxiliary communication, and taking the maximum end-to-end time delay of the minimum transmission system as an optimization target; (3) expressing a joint optimization problem of FANET auxiliary communication as a sequence decision problem based on MDP; (4) establishing an unmanned aerial vehicle decision-making model for solving a sequence decision-making problem based on a deep reinforcement learning graph neural network, and training the unmanned aerial vehicle decision-making model; and (5) applying the trained unmanned aerial vehicle decision model to realize joint optimization of flight self-organizing network auxiliary communication.

The invention relates to a cultivation method of cold-resistant high-chlorophyll non-heading Chinese cabbages. The breeding method disclosed by the invention has the characteristics of simple steps, clear target and accurate breeding, a new variety of the non-heading Chinese cabbage with strong cold resistance and high chlorophyll is successfully cultivated by utilizing the breeding method, and the problem that the quality is poor due to insufficient cold resistance and low chlorophyll content of the non-heading Chinese cabbage cultivated in autumn and winter in the middle and lower reaches of Yangtze River is solved.

The invention discloses application of an acer palmatum 'Jinling Huangfeng' extract in preparation of a medicine for preventing and treating breast cancer, and belongs to the technical field of natural product extraction. The invention further discloses an extraction method of the acer palmatum 'Jinling Huangfeng' extract and a separation method of active ingredients of the acer palmatum 'Jinling Huangfeng' extract. Scratch repair experiments directly prove that the acer palmatum 'Jinling Huangfeng' extract can significantly inhibit the migration ability of highly metastatic breast cancer cells MDA-MB-231. The separation method of the active components of the acer palmatum 'Jinling Huangfeng' extract is closely linked with anti-breast cancer metastasis activity screening, so that the experimental process has definite pharmacological guidance quality, the efficiency and success rate of finding the active components are greatly improved, and a high-value candidate resource is provided for developing anti-metastasis drugs.

A dual-motor planetary hybrid power transmission device for a four-wheel drive motor vehicle, wherein the ring gear of the first planetary gear mechanism is fixedly arranged in the rotor of the first drive motor and connected to the hollow transmission shaft, the transmission main shaft passes through the hollow transmission shaft to form a coaxial shaft, and forms a sliding fit with the hollow transmission shaft, the crankshaft of the engine is connected to the planetary carrier through the input shaft, the planetary carrier is connected to the transmission main shaft through the clutch, the sun gear shaft is loosely sleeved on the input shaft to form a coaxial shaft, the sun gear shaft is connected to the first brake, the active friction component of the first brake is fixed in the housing of the planetary hybrid power transmission device, the driven friction component is connected to the sun gear shaft, the output shaft is connected to the rear axle of the four-wheel drive motor vehicle, the transmission countershaft and the front axle transmission shaft are both arranged in parallel with the output shaft, the front axle transmission shaft is connected to the front axle of the four-wheel drive motor vehicle, the transmission countershaft passes through a hollow transmission countershaft to form a coaxial shaft, and forms a sliding fit with the hollow transmission countershaft.

The signboard for municipal construction comprises a bottom box body and a marking column, the marking column is fixedly installed on the top of the bottom box body, a plurality of sleeve piece ring grooves are formed in a column body of the marking column, installation sleeve pieces are arranged on the sleeve piece ring grooves in a sleeved mode, groove rotating pieces are installed on the installation sleeve pieces, and the groove rotating pieces are fixedly installed on the bottom box body. A swing adjusting frame is rotatably installed on the rotating groove piece through an angle adjusting bolt, an acousto-optic warning indicator is fixedly installed on the top of the marking column, an induction frame and a marking frame are fixedly installed on a column body of the marking column, an infrared inductor is installed on the induction frame, and a controller is installed on the bottom box body. The beneficial effects are that nearby moving objects are detected through the angle-adjustable obstacle detection device and the infrared induction device, so that acousto-optic warning is given out, intermittent starting is more power-saving, the intelligent degree is high, prompting and marking effects can be achieved at night and in daytime, and a target is clearer.

The invention relates to a karst area railway bridge engineering investigation dynamic control method. Comprising the following steps: S100, preliminarily obtaining a karst distribution range of a bridge site area; s200, karst development information is obtained, wherein the karst development information comprises a plane karst development section, a karst development degree and a karst development depth; s300, according to the karst development information, determining preset positions of the abutments, and drilling at the determined preset positions of the abutments; s400, according to the drilling result, whether the preset positions of the abutments are appropriate or not is judged, and if yes, it is determined that the preset positions of the abutments are the construction positions of the abutments; and if not, adjusting the preset position of the abutment. According to the method, dynamic management of exploration is carried out, so that the exploration work is clear in purposiveness, and by optimizing the drilling positions, the drilling number and the drilling depth, the exploration quality is guaranteed, the exploration workload is reduced, and the exploration period is greatly shortened. The development of the geological exploration technology of the railway bridge engineering in the karst area is promoted, and the economic and social benefits are remarkable.

The invention belongs to the field of animal models, and particularly discloses a method for constructing an autism spectrum disorder mouse model through a BAF155 conditional knockout mode. According to the application disclosed by the invention, the influence of BAF155 knockout on OL development and myelin sheath formation is observed by constructing a specific BAF155 knockout mouse. A behavioral experiment further proves that deletion of BAF155 in oligodendrocyte precursor cells can cause a mouse to have a core and characteristic ASD-like behavior phenotype taking social preference disorder and repeated engraving behaviors as main behaviors. Therefore, a new gene molecule defect ASD animal model is successfully constructed, and the method has the advantages that the target is clear, ASD can be researched by inducing single gene molecule defects, an appropriate and matched animal model is provided for ASD caused by clinical BAF155 mutation, and accurate diagnosis and formulation of subsequent intervention strategies are facilitated.

The present invention provides an unmanned boat autonomous navigation method and system based on reinforcement learning, which belongs to the field of navigation control technology based on artificial intelligence; first, a real underwater environment and an unmanned boat model are created by using Gazebo software for simulation. Secondly, a multi-reward mechanism fusion function including dense rewards, sparse rewards and reward penalties is designed to improve the operational consistency and efficiency of the unmanned boat in underwater autonomous navigation. Subsequently, an unmanned boat autonomous navigation model is constructed, and the unmanned boat autonomous navigation model is optimized in combination with deep Q learning and attention mechanism to improve the learning efficiency of the model and its robustness in complex environments. Through multi-stage training and supervised learning strategies, the training time is further shortened and the intelligence level is improved. Finally, the sonar radar and inertial navigation system are deployed on the unmanned boat with the optimized model to realize real-time autonomous intelligent navigation.

The invention provides a multi-dimensional force decoupling method and system, a storage medium and a computer program product, and the method comprises the steps: obtaining at least one sensing feature which is used for representing the deformation of a contact surface; at least one sensing feature is input into a decoupling model to output each force component of the multi-dimensional force, a total loss function of the decoupling model is configured as a combination of a plurality of sub-losses, and each sub-loss corresponds to a prediction error of one force component. The invention provides a scheme for improving the accuracy of multi-dimensional force decoupling.

The invention relates to the field of artificial intelligence, can be applied to business system platforms of finance, medical health and the like, and discloses a generative iterative optimization method, device and equipment for health consultation and a medium, and the method comprises the steps: receiving a health consultation question submitted by a user; according to the user portrait, driving a dialogue generation model of the current version to generate a plurality of candidate answers according to a corresponding generation strategy; performing multi-dimensional evaluation and confidence coefficient calibration on the plurality of candidate answers, screening out answers to be corrected, and obtaining corresponding corrected answer samples; constructing a structured weighted preference data set according to the evaluation and confidence data of the corrected answer sample; and performing confidence-weighted dynamic fine tuning optimization on the dialogue generation model of the current version through the structured weighted preference data set to obtain a dialogue generation model of a new version. By performing multi-dimensional evaluation on the plurality of candidate answers and screening and constructing the preference data with the quality weight for dynamic fine adjustment, the optimization cost is reduced and the optimization efficiency is improved.

The application provides an evaluation method of remaining oil re-enrichment quality, comprising the following steps: (1) obtaining the remaining oil saturation distribution before and after enrichment through remaining oil re-enrichment physical simulation or numerical simulation research; (2) calculating the flow rate curve; (3) calculating the enrichment state value distribution of the remaining oil before and after enrichment; (4) determining the evaluation index and evaluation standard of the remaining oil re-enrichment quality; and (5) evaluating the remaining oil re-enrichment quality. The evaluation method of the remaining oil re-enrichment quality of the high water cut reservoir has the characteristics of simple operation, quick calculation and clear target, can intuitively divide the remaining oil re-enriched in the high water cut reservoir into different types, thereby providing decision reference for tapping the potential of the remaining oil, and has a relatively practical engineering application value.

The present invention belongs to the field of wireless communication technology, and proposes a joint optimization method for flying self-organizing network-assisted communication. By real-time optimizing the flight trajectory and data routing path of a drone group to form a FANET, the relay communication of ground wireless sensors is assisted to meet the application requirements of WSN for low-latency communication in the field of real-time monitoring. The steps are as follows: (1) constructing a multi-drone and WSN data routing transmission system model; (2) establishing a joint optimization problem of FANET-assisted communication, with minimizing the maximum end-to-end delay of the transmission system as the optimization goal; (3) based on MDP, the joint optimization problem of FANET-assisted communication is expressed as a sequential decision problem; (4) based on a deep reinforcement learning graph neural network, a drone decision model for solving the sequential decision problem is established and trained; (5) applying the trained drone decision model to realize the joint optimization of flying self-organizing network-assisted communication.

The utility model relates to a clothes hanger which comprises an installation part and two sets of supporting parts which are arranged on the two sides of the installation part respectively. Wherein the middle of the supporting part is hollowed out to form an air guide channel, a plurality of first air guide holes communicated with the air guide channel are formed in the bottom of the supporting part, and the top of the mounting part is connected with the air guide channel of the supporting part through an air duct. The installation part and the supporting part form an integral framework of the clothes hanger, the supporting part is connected with the air guide channel through the air channels in the installation part and the supporting part, the first air guide holes are formed in the bottom of the supporting part, the air drying effect is better, particularly, an air blower is aligned to the top of the installation part for air supply, and air can directly reach the first air guide holes in the supporting part; the clothes drying device is clear in target, high in drying efficiency and easy to operate.

The present invention discloses a safe and efficient construction method for a gas tunnel, including the steps of blasting scheme optimization, calculation of gas outflow after blasting, gas migration law and time-space distribution characteristics, and ventilation network optimization and ventilation volume adjustment based on the above research. The present invention proposes a more accurate blasting construction scheme for the gas geological section of the tunnel, which is different from the blasting construction in the non-gas geological section, thereby making the blasting construction of the gas tunnel safer, simpler and more efficient. At the same time, the migration law of gas after blasting and its distribution characteristics in time and space are clarified, the gas accumulation area can be further clarified and targeted monitoring can be carried out, and the ventilation network optimization and dynamic adjustment can be fed back to optimize the ventilation, which provides a beneficial guarantee for the safe and efficient construction of the gas tunnel and can provide a reference for similar gas tunnel blasting construction and ventilation optimization.

The present invention discloses an image retrieval method based on the fusion of multi-scale features and spatial attention mechanism, and relates to the field of image retrieval technology. By preprocessing and extracting features of demand text data, user needs are accurately captured. Multi-scale feature compression extraction is performed using a graph neural network to capture details and global information in the image, thereby improving the expressiveness and accuracy of image features. Text and image features are mapped to the same embedding space through a multimodal alignment model to achieve efficient alignment of cross-modal retrieval. Image matching indexes are obtained by calculating similarity, and the time decay and confidence of images are analyzed to improve the accuracy and timeliness of retrieval results. At the same time, the retrieval results are graded and sorted to improve user experience. The validity of the retrieval results is judged by the user feedback index. When the retrieval results do not meet user needs, the images are retrieved again to improve the accuracy of image retrieval.

The invention discloses a method for preparing trehalose from purple ears, a purple ear strain is a high-temperature type agaric and is preserved in Guangdong Microbiological Culture Collection Center (GDMCC), the preservation number is GDMCC NO: 62288, and the method comprises the following steps: (1) extracting crushed purple ear sporocarp by adopting an organic solvent, concentrating the obtained extract liquid, adding a concentrated solution into a concentrated solution, and concentrating the concentrated solution to obtain a concentrated solution; carrying out liquid-liquid extraction by using ethyl acetate, water and n-butyl alcohol in sequence, collecting an n-butyl alcohol phase, and dehydrating and concentrating to obtain an organic crude extract; and (2) dissolving the extract obtained in the step (1), and purifying through reverse phase silica gel column chromatography, gel exclusion column chromatography and normal phase silica gel column chromatography in sequence to obtain the trehalose. The extraction and purification process provided by the invention does not need a complex enzyme catalysis or fermentation step, so that the use of an expensive enzyme preparation is avoided.

The invention relates to the technical field of artificial intelligence and automation, in particular to a robot safety trajectory planning analysis method considering obstacle avoidance stability, which comprises the following steps of: representing a robot operation environment by adopting an occupied grid, collecting an obstacle set, setting a robot driving target point, and ensuring that a robot accurately recognizes obstacles; the driving starting point and the driving path of the robot are defined according to the occupied grid, the initial track is generated, the shortest path is searched, and the driving efficiency is improved; by optimizing the preliminary trajectory, setting obstacle avoidance constraint conditions and adjusting the trajectory to avoid collision, the adaptability and robustness of the robot are improved; and a control instruction is generated according to the adjusted track and sent to the robot for execution, so that the feedback capability and autonomy of the robot are improved. The method is used for solving the technical problems of inaccurate track planning and unstable obstacle avoidance of robot navigation in the existing scheme.

The present application relates to a kind of contaminated straw fast carbonization detoxification method, comprising the following steps: S1: collecting contaminated straw;S2: contaminated straw is chopped to less than 2cm;S3: chopped straw is dried to moisture content is less than 15%;S4: drying straw is carried out first fast pyrolysis and obtains carbonized straw, flue gas is handled after passing through front condensation recovery purification system by fan and is recycled in second heating device;S5: carbonized straw is carried out second fast pyrolysis and obtains detoxification carbonized straw, flue gas is handled after passing through rear condensation recovery purification system;S6: front condensation recovery purification system and rear condensation recovery purification system collect heavy metal in flue gas and reuse flue gas.The present application also relates to a kind of contaminated straw fast carbonization detoxification equipment.The present application realizes the efficient detoxification recovery of heavy metal in straw by two high-temperature fast pyrolysis, belongs to the technical field of agricultural and forestry waste resource utilization.

The invention discloses a probe layout optimization method, device and system for an air interface test and a storage medium, and the method comprises the steps: training a preset training model according to a reference test data set obtained in advance, and obtaining a reference model; obtaining antenna characteristic data and probe characteristic data of the current detected equipment; inputting the antenna feature data and the probe feature data into a reference model to obtain target probe layout information; performing instruction conversion according to the target probe layout information to obtain an axial control instruction; and sending an axial control instruction to a mechanical movement mechanism, and driving at least one test probe to move to a corresponding target position in the probe layout information. And by using the physical information neural network, the calculation efficiency and global convergence of probe position optimization are improved. And the condition number of the channel matrix is reduced from the physical level, the ill-conditioned matrix problem is effectively improved, and the stability and the measurement precision of wireless cable construction are improved. The probe position is changed by driving a mechanical mechanism, and the testing efficiency is improved.

The invention discloses a method for preparing slurry by adding auxiliaries through a multi-stage method, which is a method for adding auxiliaries of different types and dosages into a stirring tank before raw materials enter a mill, a feeding section of the mill and an outlet of the mill on the basis of research on a slurry grinding process. The auxiliary is added by a multi-stage method, so that the dispersion state of particles can be improved in the slurry preparation process, and the particle size distribution, rheological property, constant viscosity concentration and stability of the slurry are optimized; the device can be suitable for mixed pulping of various raw materials; the method is convenient to operate, low in cost, good in effect and high in application and popularization value.

The invention discloses a blending process of Baijiu suitable for women to drink, and relates to the technical field of Baijiu brewing. Comprising the following steps: identifying and evaluating the quality of raw wine, selecting flavoring wine, combining small samples of the base wine, performing batch combination, seasoning the small samples, performing batch seasoning and identifying a finished product. The method is implemented according to the national standard premium standard of each fragrance type, and has the sensory characteristics of clear and transparent appearance, pleasant fragrance, soft, sweet and clear taste and respective outstanding typical styles; a consumer can drink the wine at will, and the wine is smooth in mouth, comfortable after drinking, free of headache and fast in sobering up.

The invention discloses a machine-column combined copper-nickel rough concentrate regrinding and sorting method for copper-nickel sulfide ore. The method comprises the following steps that S1, first-stage ore grinding is conducted, specifically, raw ore is subjected to first-stage ore grinding and grading; s2, first-stage roughing, wherein water is added into a raw ore product obtained after first-stage grinding and grading in a stirring tank for size mixing; s3, rough concentrate regrinding is conducted, specifically, concentrate obtained after first-stage roughing is conveyed to a regrinding ball mill grading cyclone to be graded; s4, finely selecting the first four tanks in one section once; s5, performing one-section and one-time fine selection for six grooves; s6, first-stage secondary fine selection; s7, one-stage and one-time fine scavenging; s8, second-stage ore grinding; s9, second-stage roughing is conducted; s10, first four tanks are finely selected for the first time in the second section; s11, carrying out second-section primary fine selection on the rear 6 tanks; s12, carrying out second-stage secondary fine selection; s13, second-stage primary fine scavenging is carried out; s14, second-section primary flotation column fine selection is carried out; s15, two-stage primary scavenging is carried out; s16, second-stage secondary scavenging is carried out; and S17, second-section secondary flotation column fine selection is carried out.

The present invention relates to the field of power grid operation control technology, and in particular to a power grid self-healing method, device, terminal and storage medium, wherein the power grid self-healing method comprises: obtaining an identifier of a faulty line; determining a switch to be opened and a switch to be closed according to the identifier of the faulty line; opening the switch to be opened; and closing the switch to be closed. The power grid self-healing method disclosed in the embodiment of the present invention determines isolation, power transfer and grid connection schemes according to the location of the faulty line, and is clear in structure and purpose, thereby accelerating the self-healing process and reducing the time of power outage.