285results about How to "Effective control" patented technology

The invention relates to bacillus velezensis SMB1 and application thereof in prevention and treatment of plant diseases, and belongs to the technical field of biological prevention and treatment of plant diseases. The strain is preserved in the China Center for Type Culture Collection on November 27, 2024, the preservation address is Luojia mountain, Luojia mountain, eight road, Wuchang District, Wuhan City, Hubei Province, and the preservation number is CCTCC NO: M20242647. The bacillus velezensis SMB1 provided by the invention has a remarkable bacteriostatic effect on plant pathogenic fungi, plant pathogenic oomycetes, plant pathogenic bacteria and animal pathogenic bacteria, has an extremely good broad-spectrum bacteriostatic function, has a great application potential in biological control of plant diseases, can reduce the use of chemical pesticides, and has a good application prospect. The pesticide residue in agricultural products is reduced, the environment is protected, and the urgent demand on pollution-free agricultural product production at present is met.

The invention discloses a fuel cell system modeling and control-oriented joint simulation design method, which comprises the following steps of: based on an electrochemical and heat transfer mechanism, dividing an electric pile into a plurality of nodes along a reaction gas flowing direction by adopting a distributed parameter method, and establishing a one-dimensional solid oxide fuel cell dynamic model by applying a multi-field unified modeling language Modelica; establishing a dynamic model of each auxiliary machine part of the solid oxide fuel cell system; all the components are connected according to a unified interface to form a system overall dynamic model, and dynamic simulation is carried out; carrying out multi-output multi-input state space model identification in SIMULINK by applying dynamic simulation data of the solid oxide fuel cell system; a model prediction controller KF-MPC based on Kalman filtering is developed; and establishing a joint simulation platform. According to the invention, rapid and accurate load tracking and temperature control are realized, and the operation safety of the system is maintained at the same time.

The invention relates to the technical field of electronic packaging, and discloses an intelligent dispensing control method and system based on machine vision and a storage medium. The method comprises the following steps: acquiring a dispensing part image, and performing feature extraction on the dispensing part image to obtain feature information; according to the feature information, carrying out dispensing position area calculation to obtain the area of a dispensing area; calculating the surface roughness of the dispensing part according to the feature information of the image to obtain roughness information; according to the feature information, the dispensing position and the roughness information, the dispensing amount is calculated, and dispensing parameters are obtained; according to the dispensing parameters and the roughness information, the dispensing amount is adjusted, and the effective dispensing amount is obtained; according to the dispensing parameters, the effective dispensing amount and the dispensing area, dispensing operation is carried out, and a dispensing result is obtained; and according to the dispensing result, the dispensing quality is monitored and adjusted based on visual feedback control. According to the method, the dispensing precision of the dispensing machine can be improved, parameters are optimized, and efficient dispensing control is achieved.

The invention discloses a power grid construction subpackage management and control method based on big data, and the method comprises the following steps: collecting the data of a power grid construction site in real time, carrying out the preprocessing, and carrying out the storage through a distributed storage system; generating a comprehensive evaluation report by using the residual neural network and the graph convolutional network; adopting a particle swarm optimization algorithm to carry out subpackage provider selection and task allocation; predicting the construction progress through a long short-term memory network; performing image analysis on the video stream of the construction site by using a residual neural network and a single-time multi-frame detection algorithm; a Bayesian network and a multi-layer perceptron are used to predict construction risks, an isolated forest algorithm is used to carry out abnormal value detection on data, and a risk early warning report is generated and notified to related personnel. According to the invention, big data, deep learning and reinforcement learning technologies are fully combined, the power grid construction subpackage management and control method based on big data is described in detail, and the method has the advantages of high construction efficiency, accurate risk prediction and resource optimization.

The invention provides a roadway supporting structure and a construction method. The roadway supporting structure comprises a supporting group layer, anchoring systems, a flexible supporting belt, an adjusting system, a control unit and a sensing unit, the anchoring systems are arranged on the side portion and the top of surrounding rock, the flexible supporting belt is arranged on the inner surface of the supporting group layer and located on the top of a roadway, and the sensing unit is arranged in the top of the surrounding rock. The adjusting system is connected with the flexible supporting belt and the anchoring system on the top of the surrounding rock. The sensing unit is used for collecting a surrounding rock pressure value and transmitting the surrounding rock pressure value to the control unit, and the control unit receives the pressure value and deploys the adjusting system to adjust the pre-tightening force of the anchoring system and / or the tension of the flexible supporting belt. The invention aims at solving the problem of roadway support in a high-stress complex environment and ensuring the long-term stability and safety of a roadway.

The invention discloses a project cost consultation method based on artificial intelligence, and the method mainly comprises the following steps: S1, providing an intelligent system, and obtaining a project quantity list, a construction plan and a material price; s2, receiving and analyzing project requirements through a natural language processing algorithm, and generating a cost consultation task; s3, analyzing the project data by using a machine learning algorithm, and generating a budget scheme and a pre-settlement report; s4, executing risk identification, and providing risk control suggestions; s5, dynamically adjusting a budget scheme based on project progress conditions, and providing cost optimization suggestions; and S6, generating a report including cost prediction, risk control and optimization schemes. The method optimizes the analysis and processing of the cost data through an intelligent algorithm, improves the budgeting accuracy and risk recognition capability, reduces the manual intervention, and improves the working efficiency and decision scientificity.

The invention discloses a preparation method and application of a composite nitrogen, phosphorus and sulfur removal autotrophic filter material, and relates to the technical field of sulfur autotrophic filter materials, and the preparation method comprises the following steps: stacking and combining a basic filter material, a catalyst loaded filter material, a strain-heterojunction loaded filter material and a magnesium oxide microsphere filter material from top to bottom, the composite nitrogen, phosphorus and sulfur removal autotrophic filter material is obtained; in the stacking combination process of the composite nitrogen, phosphorus and sulfur removal autotrophic filter material, the stacking thickness ratio of the basic filter material to the catalyst loaded filter material to the strain-heterojunction loaded filter material to the magnesium oxide microsphere filter material is 10: (3-5): (2-4): (4-5). The efficient and low-cost composite nitrogen, phosphorus and sulfur removal autotrophic filter material is developed according to the synergistic treatment requirements of nitrogen and phosphorus pollution and PNP pollution.

The invention discloses an abnormal working condition online adjusting and processing system of a long-distance pipeline conveying slurry concentration system. The abnormal working condition online adjusting and processing system comprises an upstream incoming material pipeline, a feeding collection box is arranged below an outlet of the upstream feeding pipeline; an emergency pipeline with the tail end leading to the ore pulp distribution box is further communicated with the upstream feeding pipeline between the feeding concentration meter and the flow meter, and an emergency pipeline switch electric valve is arranged on the emergency pipeline; a thickener is arranged below the outlet end of the feeding collection box; the lower end of the thickener is communicated with an inlet of the underflow pump through an underflow pump inlet pipeline; an outlet of the underflow pump is communicated with an underflow pump outlet pipeline, the tail end of the underflow pump outlet pipeline is divided into two paths, one path is a self-circulation pipeline leading to the feeding collection box, and the other path is a normal pulp conveying pipeline leading to the pulp distribution box; the invention further discloses a corresponding processing method. Through diagnostic analysis and targeted treatment of abnormal working conditions of the concentration system, safe and stable operation of the concentration system is ensured, rake pressing of the thickener can be effectively avoided, and investment is saved.

The invention belongs to the technical field of artificial intelligence, and particularly discloses a human-computer interaction method, system and device based on voice differential processing and a medium, and the method comprises the steps: extracting a voice data sequence and scene features, constructing a background noise database, collecting user voice information, carrying out voiceprint recognition model training, obtaining a noise reducer, and carrying out noise reduction analysis. Extracting a time interval of the noise reduction voice data sequence, performing dialogue segmentation, determining a plurality of semantic data subsequences, performing differential semantic analysis on the plurality of semantic data subsequences, determining a plurality of interaction instructions and interaction time, performing action execution scheme analysis based on the interaction instructions and the interaction time, and determining a robot action execution scheme. Performing interaction control on the robot according to the action execution scheme; the response degree of the robot to the voice instruction of the user can be better improved, the individual requirements of the user are met, and therefore efficient interaction application is conducted in the family environment.

The invention relates to the field of communication of unmanned aerial vehicles, in particular to a wireless communication method for multiple cooperative working aircrafts. The method comprises the following steps: establishing at least one aircraft group; when the number of the aircraft groups is 2-N, grading the aircraft groups; grading M aircraft units in the aircraft group; establishing communication among different levels of aircraft units in the same aircraft group; establishing communication among the aircraft units in different aircraft groups; when all the aircraft units of the first level in each aircraft group are lost, damaged or invalid, the level of at least one aircraft unit in the aircraft group is automatically adjusted to be the first level, and replacement is completed. According to the invention, it is ensured that the whole aircraft group can have the maximum operation effectiveness; the operation cost of the whole aircraft is reduced; emergency processing modes can be established between the groups and in the groups; effective control on the low-priority aircraft is realized; and the power system cost is saved.

The invention discloses a distributed photovoltaic system and method based on the Internet of Things technology and intelligent switch measurement and control, and the system comprises an intelligent metering and control module which is used for measuring the network access electrical parameters of all access rooms in real time, and achieves the off-network and grid connection of the distributed photovoltaic access rooms; the alternating current and direct current measurement and grouping control module is used for cutting off the photovoltaic power singly / grouping and directly adjusting the network access power of the photovoltaic power through communication between an intelligent switch and a photovoltaic inverter; power direction monitoring can be used for off-grid / grid-connected switching; communication between remote communication and a central control system is included, and real-time issuing of instructions and uploading of data are ensured; and the Internet of Things electric energy quality measurement and control module is used for monitoring the electric energy quality in real time, providing parameters for distribution operation and monitoring the influence of photovoltaic access on the electric energy quality of the power grid. According to the invention, through the intelligent measurement, metering and control module and the communication and grouping control module, the distributed photovoltaic access is effectively controlled, the voltage fluctuation and harmonic pollution of the power grid are avoided, and the stable operation is ensured.

The invention belongs to the technical field of microbial fermentation, and particularly relates to a fermentation substrate for bacillus, a bacillus liquid fermentation inoculant and application. The fermentation substrate is prepared by adding traditional Chinese medicine residues into a yeast culture medium so as to improve the concentration of bacillus after fermentation; the traditional Chinese medicine residues are prepared by compounding motherwort herb residues, astragalus membranaceus herb residues and ginseng herb residues according to the mass ratio of 1: (1-2): (1-1.5); the mass ratio of the yeast culture medium to the traditional Chinese medicine residues is (20-26): (6-8). The concentration of the bacillus can reach 3.3 * 10 < 9 > CFU / mL in a bacillus liquid fermentation inoculant obtained by adopting the fermentation substrate disclosed by the invention.

The invention relates to a solid-state micro-grid system and a control method thereof, and the system comprises a DC bus which is connected with a DC bus port; the direct-current power unit adopts a modular design, the input side is connected with the direct-current port, and the output side is connected with the direct-current bus; the alternating-current power unit adopts a modular design, the direct-current side is connected with the direct-current bus, and the alternating-current side is connected with the alternating-current port; and the coordination control unit is respectively connected with the direct current power unit and the alternating current power unit and is used for realizing energy access, conversion, distribution, control and management. According to the invention, different types of energy and loads can be efficiently integrated.

The invention discloses arthrobotrys guangdongensis and application of the arthrobotrys guangdongensis in prevention and treatment of pine wood nematode diseases. The invention relates to Arthrobotrys guangdonensis 20GD2519A, which is preserved in China General Microbiological Culture Collection Center (CGMCC) on November 15, 2021, the address of the Arthrobotrys guangdonensis is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing, the postal code is 100101, and the preservation number is CGMCC No.23849. The Arthrobotrys guangdonensis 20GD2519A has the advantages that the Arthrobotrys guangdonensis 20GD2519A can be used for preparing a microbial inoculum; the invention directly aims at pathogenic nematodes, inhibits and kills nematodes, and reduces nematode density. The strain has strong sporulation ability, can maintain good hereditary stability, and still has high fatality rate to pine wood nematodes after continuous subculture. The survival rate of pine trees inoculated with the arthrobotrys guangdongensis suspension in advance can reach 72%.

The invention provides a teaching device and a robot welding method, and relates to the technical field of robot control. The teaching device comprises a control module, a key module and a moving assembly. A plurality of keys are arranged on the key module; the control module is connected with the key module and the moving assembly and is in communication connection with the robot; the control module is used for detecting the state of the moving assembly and the state of each key on the key module and generating a moving control instruction so that the robot can move according to the moving control instruction. The control module is further used for determining a welding program according to the state of the at least one key, generating a welding control instruction and sending the welding control instruction to the robot so that the robot can control a welding device at the tail end of the robot to execute corresponding welding operation according to the welding control instruction. The teaching device which can adapt to the working environment and is convenient to operate is provided for operators, and accurate, efficient and intelligent control over the robot is achieved through various functional assemblies on the teaching device.

The invention provides a method and device for controlling an automatic guided vehicle, electronic equipment, a computer readable storage medium and a computer program product, and relates to the technical field of artificial intelligence such as automatic guided vehicles, operation control and intelligent logistics. A specific embodiment of the method comprises the following steps: in response to detecting that the automatic guided vehicle completes a corresponding task at a target position, controlling the automatic guided vehicle to move in a first path; in response to a planned second path from the target position to the expected position, acquiring a first position where the automated guided vehicle is currently located; and in response to the fact that the first position is the final position of the first path or the first position is the position in the second path, starting from the first position, controlling the automatic guided vehicle to move in the second path. Therefore, the automatic guided vehicle can be controlled more effectively, and the utilization efficiency of the automatic guided vehicle is improved.

The present invention belongs to the field of industrial automation control, and in particular to a method for automatic control of a decanediamine production line. First, an automatic control based on PLC and DCS is established, and an improved composite PID control algorithm and multi-stage dynamic feedback compensation are introduced to improve the system response speed and control accuracy. The composite PID control formula contains multiple coefficients and adjustment amounts to achieve adaptive adjustment. Secondly, multi-parameter data is collected, and the process parameters are optimized in real time using an improved ant colony algorithm. The objective function considers multi-factor optimization synergy. Furthermore, edge computing nodes and IoT gateways are deployed in key equipment, and communication delays are reduced using multi-layer optimization functions through Internet of Things interconnected monitoring. Finally, multi-layer energy consumption management is configured, and energy is saved based on dynamic compensation load and real-time monitoring of energy consumption, and energy consumption optimization models. The present invention effectively solves many problems of existing control methods and improves the overall efficiency of the production line.

The invention belongs to the technical field of plant cultivation, and particularly relates to a wheat shallow-buried drip-irrigation uniform-sowing densification high-yield cultivation method and system, two main treatments of traditional sowing and uniform sowing are set, four different cultivation densities are set at the same time, and changes of wheat growth and yield under different treatments are observed; a drip irrigation tape laying mode of one pipe and two rows is adopted; two chemical control agents of chlormequat chloride and paclobutrazol * mepiquat chloride are sprayed in the three-leaf stage and the elongation stage of wheat, and the dosage of the chemical control agents is set to be three gradients; determining a chemical regulation and control scheme of the spring wheat under the close planting cultivation condition; under the condition of close planting, the control effect of close planting chemical control on wheat growth and yield is studied by adopting a split area test design, and the control effect of water and nitrogen control on wheat growth and yield is studied. According to the method, the planting density and the planting specification of a shallow-buried drip irrigation uniform sowing mode are defined, and a high-yield, high-quality and high-water-efficiency irrigation and fertilization scheme for wheat is determined.

The invention relates to the field of construction sites, and discloses an intelligent construction site management system and method based on the Internet of Things, and the system comprises an architecture design scheduling module which is used for designing a corresponding management architecture and adjusting the corresponding management architecture according to the real-time condition of a construction site; the architecture design scheduling module is connected with an acquisition module, and the acquisition module acquires various information data of a construction site through various devices, thereby providing a basis for subsequent judgment and management. According to the intelligent construction site management platform, the formula calculation module is arranged, the field dust value is collected, the collected dust data is compared with the threshold value, and a corresponding processing scheme is adopted, so that the situation that the working environment is influenced when the dust in the construction site is large is avoided, and compared with an existing intelligent construction site management platform which neglects the field environment, the intelligent construction site management platform has the advantages that the working efficiency is improved. The platform pays more attention to the environmental health of a construction site.

The invention discloses a device and a method for laser crystal growth based on a seed crystal reentry method. The device comprises a furnace body and a control system, the lifting mechanism is arranged in the furnace body and is fixedly connected with the top of the furnace body; the lifting mechanism is connected with a seed crystal support, a rotating mechanism is arranged on the seed crystal support, and a torque detection device is arranged on the rotating mechanism; the seed crystal support is used for loading seed crystals; a crucible is arranged under the seed crystal, a plurality of heating units are arranged around the crucible, a rotating magnetic field generator is also arranged around the crucible, and a cooling system is arranged around the rotating magnetic field generator. According to the device and method for laser crystal growth based on the seed crystal reentry method, the eddy current phenomenon in the laser crystal growth process is effectively restrained by accurately controlling the intensity and frequency of the rotating magnetic field and optimizing magnetic field distribution.

The utility model relates to an environment-friendly concrete aggregate conveying device, which belongs to the technical field of concrete production and comprises a support frame, a fixing frame is fixed at the top of the support frame, and a driving motor penetrating into the fixing frame is fixed on the back of the fixing frame. A transmission assembly fixed to an output shaft of the driving motor is rotationally connected into the fixing frame, mounting frames are fixed to the front side and the rear side of the fixing frame, and rotating rods are in threaded connection with the bottoms of the mounting frames. According to the green and environment-friendly concrete aggregate conveying device, when a driving motor drives a transmission wheel to rotate, a transmission belt can move, so that a cleaning assembly can clean the transmission belt, certain water mist can be generated through the arranged sweeping assembly, and then the situation that a large amount of flying dust affects the working environment is effectively avoided; and the cleaning assembly is located at the bottom of the transmission belt, cleaning can be conducted in the running process, and therefore the surrounding environment is effectively protected.

The invention relates to an intelligent monitoring and decision-making system for a soil pollution remediation process, and the system comprises a data collection layer which is used for collecting and uploading the data of a pollution remediation site; the data processing layer is used for receiving, cleaning, storing and managing data of a pollution remediation site; the analysis and decision-making layer is used for carrying out intelligent analysis such as pollution diffusion prediction, equipment state monitoring and restoration progress optimization on the data; and the user interface layer is used for remote monitoring, dynamic operation and information feedback of pollution remediation data and equipment states. According to the system, through cooperative work of the data acquisition layer, the data processing layer, the analysis and decision-making layer and the user interface layer, intelligent management and scientific decision-making of the soil pollution remediation process are achieved. The system collects on-site key data in real time through the Internet of Things, provides real-time monitoring, automatic control and decision support for pollution remediation projects by combining big data analysis and machine learning technologies, and ensures that the remediation process is efficient, low-carbon and safe.

The invention relates to the technical field of data asset management, in particular to a data asset management system and method. The method comprises the following steps: acquiring a data asset information set from different data sources in real time and performing tag structure sub-column division to obtain data asset information tag description structured sub-columns, and meanwhile, performing time sequence creation synchronization processing and integrating and storing the data asset information tag description structured sub-columns into a data asset management database; performing use frequency and sensitivity evaluation analysis on each piece of data asset sub-information in the data asset management database, and performing data asset access utility evaluation analysis to obtain data access utility of each piece of data asset sub-information; and performing dynamic access right control and full life cycle management design on each piece of data asset sub-information in the data asset management database, and performing automatic management and report feedback recording to generate a data asset information management report. The transparency, safety and efficiency of data asset management can be improved.

The invention discloses an intelligent control device integrating vehicle body electric appliances and power distribution. The system comprises a core control module, a power input and switching module, a power distribution module, a vehicle body electric appliance interface module, a communication module, a sensor module, a man-machine interaction module and the like. The core control module coordinates execution of each task, the power supply module can intelligently switch and distribute, the interface module adapts to communication of various electrical equipment, the communication module supports remote interaction and upgrading, the sensor module guarantees safe operation, and the man-machine interaction interface is convenient to operate. By adopting innovative designs such as an intelligent self-adaptive power distribution algorithm and a fault prediction active protection mechanism, the system has the advantages of improving the power utilization efficiency, enhancing the reliability, realizing flexible function configuration and energy recycling and the like, and can effectively improve the performance and the use experience of a vehicle electric appliance system.

The application discloses a controllable breathing machine atomization processing circuit, which comprises a main control module, a display module, a carbon dioxide concentration detection module, a pressure detection module, a judgment module, an atomization output control module and an oscillation driving module; wherein the main control module is connected with the display module, the judgment module, the carbon dioxide concentration detection module and the pressure detection module respectively; the display module, the carbon dioxide concentration detection module and the pressure detection module are connected with the judgment module respectively; the judgment module is connected with the atomization output control module; and the atomization output control module is connected with the oscillation driving module. Through the cooperation of the main control module, the carbon dioxide detection module and the pressure detection module, the breathing frequency data of a patient can be accurately collected and fed back in real time; and through the atomization output control module and the input oscillation driving module, the vibration frequency of the atomization screen is regulated and controlled, so that the atomization screen can better adapt to the breathing frequency of the patient.

The present invention discloses a brain-controlled grasping robot system and control method for visual semantic target stimulation, including an EEG signal acquisition unit, a visual induced unit, a signal processing unit, and a grasping robot body; the grasping robot body acquires the semantic target image and posture information of each object in the environment; and grasps the object according to the brain-controlled grasping intention; the visual induced unit flashes the visual induced paradigm based on the semantic target stimulation in a preset flashing mode; the EEG signal acquisition unit acquires the EEG signal induced by the visual induced paradigm of the disabled operator; the signal processing unit decodes the EEG signal to obtain the brain-controlled grasping intention, and sends it to the grasping robot body, and also uses the knowledge graph to infer the next step of the brain-controlled grasping intention of the disabled operator, and feeds back to the visual induced unit to generate a visual induced sub-paradigm. The intelligent decision-making and execution capabilities of the brain-controlled grasping robot for assisting the disabled are improved, and the disabled operator is helped to achieve basic self-care.

The road construction vehicle-mounted early warning system comprises a radar sensing module, a first communication module, a controller module and a warning module, the output end of the radar sensing module is electrically connected with the input end of the first communication module, and the radar sensing module is used for detecting the running speed and vehicle distance data of a vehicle; the output end of the first communication module is electrically connected with the input end of the controller module, and the first communication module is used for transmitting the detected vehicle running speed and vehicle distance data to the controller module to screen abnormal data; the output end of the controller module is electrically connected with the input end of the warning module, and the controller module is used for carrying out early warning and reminding on a vehicle corresponding to the abnormal data; the driving speed and the vehicle distance data of the vehicle are monitored in real time through the radar sensing module, the detected data are transmitted to the controller module to be processed, the warning module carries out acousto-optic reminding on the vehicle with abnormal data, the potential collision risk can be found and reminded in time for a driver, the occurrence rate of traffic accidents is reduced, and the safety is improved.

This invention discloses a method for manufacturing 3D display glass and its curved display glass, relating to the field of glass manufacturing technology. A conveying preheating box is attached to one side of the top of a multi-stage temperature control frame. Several pressure-equalizing hydraulic cylinders are equidistantly installed on the top of the conveying preheating box. Pressure-limiting fixing frames are attached to the bottom of the pressure-limiting fixing frames. Inlet and outlet electric slide rails are symmetrically installed at the bottom of the pressure-limiting fixing frames. Inlet and outlet sliding frames are installed at the bottom of the inlet and outlet electric slide rails via slide rail seats. A positioning electric slide rail is embedded at one end of the inlet and outlet sliding frame. A shaping top mold is fitted between two clamping fixing frames. This invention utilizes a combination of pneumatic hot bending, gravity hot bending, shaping hot pressing, and edge correction hot pressing. Furthermore, by using slow heating and slow cooling, along with mold control, the shape of the curved glass can be effectively controlled. Simultaneous operation of pretreatment and forming processes reduces the waiting time required during production.

The embodiment of the invention discloses a high-strength corrosion-resistant CuNi10Fe1Mn alloy copper pipe and a preparation method thereof, relates to the technical field of non-ferrous metal material manufacturing, and aims to solve the technical problem of poor production in the prior art. According to the high-strength corrosion-resistant CuNi10Fe1Mn alloy copper pipe, the content of Ni ranges from 9.0% to 11.0%, the content of Fe ranges from 1.0% to 2.0%, the content of Mn ranges from 0.5% to 1.0%, the sum of impurity elements does not exceed 0.2%, and the balance is Cu.