49results about How to "Intelligent control" patented technology

The invention relates to the technical field of unmanned aerial vehicles, in particular to a mooring unmanned aerial vehicle safety management system which comprises a multi-source data acquisition module, a data fusion and analysis module, an intelligent risk assessment module, a control instruction generation module and an execution mechanism module. The multi-source data acquisition module acquires flight and mooring cable data of the unmanned aerial vehicle by using various sensors, and transmits the flight and mooring cable data to the data fusion and analysis module through a time division multiple access protocol with low packet loss rate and low delay; the intelligent risk assessment module judges a risk level by combining a risk assessment model based on a support vector machine and a Bayesian network algorithm according to the information, and generates prompt information if the risk level exceeds a preset range; the control instruction generation module generates instructions according to a risk prompt and a preset strategy, ranks the instructions and sends the instructions to the execution mechanism module; a flight control system in the execution mechanism module cooperates with a mooring cable electric take-up and pay-off device and the like, real-time adjustment and control over the flight attitude of the unmanned aerial vehicle and the cable state are achieved, and it is ensured that tasks are safely and stably executed in the complex environment.

The invention provides a wind power high-voltage direct-current power transmission system, and belongs to the technical field of power transmission. The system comprises an intelligent wind driven generator, a modular converter station, an intelligent temperature monitoring direct current transmission line, a power grid friendly intelligent inverter station, and an intelligent regulation and control system integrating real-time data analysis, dynamic control and fault self-diagnosis. Through a maximum power point tracking algorithm and a self-adaptive control strategy, the system optimizes the wind energy conversion efficiency. The intelligent regulation and control system predicts wind power output by using a deep learning model and a random forest algorithm, dynamically adjusts voltage and current, and quickly responds to power grid demand changes. In addition, the system can quickly position and isolate faults, start a standby path and ensure continuous power supply. By adopting the wind power high-voltage direct-current power transmission system, the intelligent level of wind power high-voltage direct-current power transmission is improved, and the power transmission efficiency and the system stability are enhanced.

The invention relates to the technical field of agricultural equipment control, in particular to a rain-sheltering cultivation greenhouse control method and system based on intelligent perception. Importing the real-time growth state model diagram into a dictionary search tree for search matching, and obtaining growth moisture requirement range data of the pepper seedlings in the current growth stage in the target greenhouse; collecting real-time moisture data of soil in the target greenhouse at a plurality of preset time nodes, and analyzing according to the collected real-time moisture data and the growth moisture requirement range data in combination with a Bezier curve algorithm to obtain a soil moisture suitability deviation coefficient of the pepper seedlings in the target greenhouse; the moisture condition of soil in the target greenhouse is analyzed according to the soil moisture suitability deviation coefficient, the target greenhouse is regulated and controlled according to the analysis result, the greenhouse can be intelligently regulated and controlled according to the soil moisture condition, it is ensured that pepper seedlings grow under the appropriate soil moisture condition, and the yield of the pepper seedlings is improved. Therefore, the growth quality and yield of pepper seedlings are improved.

The invention discloses a household appliance and a control method and system thereof. The method comprises the following steps: acquiring multi-modal data; analyzing the multi-modal data by using a large language model to obtain at least two tasks; and allocating a corresponding target agent to each task by using the agent manager, so that the target agent controls the corresponding household appliance. By means of the mode, household appliance control with higher flexibility and higher intelligence is achieved.

The invention relates to a rubber material smelting mixing optimization method and system based on artificial intelligence, and the method comprises the following steps: S1, arranging a temperature sensor, a pressure sensor and a viscosity sensor in a rubber material smelting process, and collecting the operation state and technological parameters of equipment in real time; s2, the collected data are stored in a database, noise and abnormal values are removed through a data cleaning technology, and the data quality is ensured; s3, constructing a rubber material smelting mixing prediction model based on the improved BP neural network model, and predicting the properties of the mixed rubber material; s4, constructing a comprehensive optimization objective function in combination with cost, energy consumption and product characteristics, and finding an optimal process parameter combination by using particle swarm optimization based on a prediction result; and S5, according to the optimal process parameter combination, the system is controlled in combination with fuzzy logic control. The production efficiency and the product quality can be improved, cost and waste can be reduced, and the overall flexibility and the response capacity of a production line are improved.

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 belongs to the field of automobile shock absorber bearing detection, and discloses an automobile shock absorber bearing finished product multi-azimuth detection system which comprises a conveyor belt, an industrial personal computer is arranged on one side of the conveyor belt, and an outer diameter surface detection mechanism, an upper end face detection mechanism and a lower end face detection mechanism are sequentially arranged on a support of the conveyor belt. The outer diameter surface detection mechanism is used for detecting the outer diameter surface appearance quality of the automobile shock absorber bearing, the upper end face detection mechanism is used for detecting the upper end face appearance quality of the automobile shock absorber bearing, and the lower end face detection mechanism is used for detecting the lower end face appearance quality of the automobile shock absorber bearing. The system is provided with the outer diameter surface detection mechanism, the upper end surface detection mechanism and the lower end surface detection mechanism, so that the appearance quality of the outer diameter surface, the upper end surface and the lower end surface of the automobile shock absorber bearing can be comprehensively detected. Through multi-directional detection, various defects on the surface of the bearing can be found in time.

The invention relates to the technical field of hoist emergency power supplies, in particular to a method and system for opening and closing an emergency power supply based on intelligent control of a water gate, and the method comprises the steps: obtaining a target water gate opening and closing motor, monitoring a power indicator light of a power gate engine in real time, obtaining a three-phase sine wave power supply if the power indicator light is determined to be extinguished, and charging the power gate engine; if the charging brake engine needs to execute reversing operation, the charging brake engine is subjected to reversing operation, a reversing brake engine is obtained, if the charging brake engine does not need to execute reversing operation, current monitoring is conducted on the charging brake engine, current data are obtained, and if it is confirmed that data larger than a preset current threshold value exist in the current data, the solid-state battery module is adjusted; and obtaining optimal current data until data greater than a preset current threshold value does not exist in the current data, and completing the opening and closing of the emergency power supply based on the intelligent control water gate based on the optimal current data and the reversing gate engine. The efficiency and the intelligent degree of the emergency power supply can be improved.

The invention discloses a smart home control method and system based on a knowledge graph, and belongs to the field of data processing, and the method comprises the steps: obtaining the demand information of a user; collecting user family member information, household equipment and equipment attribute information, and carrying out data preprocessing; carrying out entity identification on the smart home system, and mapping home equipment and equipment attributes to entities and attributes in a knowledge graph to be constructed; extracting the relationship between entities in the smart home system to obtain a complete knowledge graph; the demand information is converted into query information, and a corresponding query result is obtained by using a knowledge graph, so that the household equipment is controlled; optimizing the knowledge graph according to the use habits of the user and the equipment attributes; and regularly updating and managing the knowledge graph. According to the smart home control method and system based on the knowledge graph, the knowledge graph is utilized to realize more intelligent control and management of the smart home, and the user experience is improved.

The invention discloses a hydraulic control system and method for a rotary motor of a felling head of a feller in the technical field of engineering machinery, and the system comprises a first reversing valve, a second reversing valve, a third reversing valve, an angle sensor and a controller, a first working oil port and a second working oil port of the first reversing valve are connected to first working oil ports of the second reversing valve and the third reversing valve respectively, and third working oil ports of the second reversing valve and the third reversing valve are connected to a left oil port and a right oil port of the rotary motor respectively. Second working oil ports of the second reversing valve and the third reversing valve are connected to the oil return end of the hydraulic system; the angle sensor is used for collecting the rotating angle of the rotating motor; the controller is electrically connected with the first reversing valve, the second reversing valve, the third reversing valve and the angle sensor and used for valve control. The method is controlled based on the system, intelligent control over the felling head of the feller can be achieved, and operation safety is improved.

The invention discloses a comfortable air conditioner environment sensing management and control method based on intellectualization. A sensor unit, a central controller unit, an air conditioner controlled unit and a user interface unit are included. The user interface unit provides a mode for a user to interact with the system, and the user can monitor the indoor temperature, set the temperature, select modes and the like in real time through equipment such as a smart phone, a tablet personal computer or a computer and perform remote control and timing setting on air conditioning equipment. The invention discloses a comfortable air conditioner environment sensing management and control method based on intellectualization, and aims to improve the operation efficiency of an air conditioner system and the comfort of a user. The system adjusts the operation parameters of the air conditioner in real time by sensing the indoor and outdoor environment, the user demand and the energy consumption condition, and intelligent, efficient and energy-saving air conditioner control is achieved. And the temperature is calculated more accurately through temperature detection at different positions of the room, and the wind direction of the wind plate is automatically changed through calculation, so that a user feels more comfortable.

The invention relates to the technical field of vehicle-mounted LCD machining equipment, in particular to a steel bag self-adjusting grinding platform device. The device comprises a machine table and a machine top frame, the machine top frame is fixed to the top of the machine table, a first protective shell and a second protective shell are arranged at the position, located on the inner side of the machine top frame, of the top of the machine table, the second protective shell is fixed to the machine table, and a movable matching mechanism is assembled between the first protective shell and the second protective shell. Through the structural design of the moving matching mechanism and the positioning grinding mechanism, a steel bag is inflated to generate deformation, and the grinding disc and the steel bag below the grinding disc are relatively completely parallel, so that the removal rate of residual glue and foreign matters on the surface of the glass substrate is improved, the product quality and yield are improved, the working efficiency is improved, and the production cost is reduced. And the PLC system and various sensors are combined, intelligent control over the cleaning process is achieved, and operation is more accurate, convenient and fast.

The invention relates to the technical field of jet printing repair, and discloses a jet printing control method and system based on an unmanned aerial vehicle, and the method comprises the steps: receiving pixel points of a target image transmitted by a camera of the unmanned aerial vehicle; comparing the pixel points of the target image with the pixel points of the to-be-repaired identification picture to determine the similarity; judging whether the similarity is greater than a preset similarity threshold value or not; when the similarity is larger than a similarity threshold value, the unmanned aerial vehicle is controlled to move towards the to-be-repaired identification until the central pixel point of the image transmitted back by the camera of the unmanned aerial vehicle coincides with the central pixel point of the to-be-repaired identification picture; the jet printing display screen is controlled to display the target image and the old mark repairing effect picture in a split-screen mode; based on the split-screen display content of the jet printing display screen, planning a motion track; and the unmanned aerial vehicle is controlled to carry the jet printing equipment to move along the movement track, and the jet printing display screen is utilized to trigger the jet printing equipment to perform jet printing on the to-be-repaired identifier. The method has the effect of improving the identification precision of the jet printing target.

This utility model belongs to the technical field of air curtain systems, and more particularly to air curtain systems. It includes an air curtain fan, positioned above a passageway opening to generate airflow; an electric door, also positioned at the passageway opening to control its opening and closing; and an interlocking control device electrically connected to the air curtain fan and the electric door. The interlocking control device is configured to start the air curtain fan when an electric door opening signal is detected, and to stop the air curtain fan when an electric door closing signal is detected. The interlocking control device includes a signal detection module for detecting the opening or closing status signal of the electric door. This utility model has a reasonable design and effectively solves the problem of high energy consumption caused by the 24-hour operation of traditional air curtain system fans. It has advantages such as energy saving, extended equipment lifespan, intelligent control, and high reliability.

The invention discloses a smart home system sensing information processing method and device and a readable storage medium. The method comprises the following steps: receiving a situation instruction; determining a target sensing range corresponding to the situation instruction; and calling the perception information perceived by the target perception module corresponding to the target perception range as the perception information required by the situation instruction. According to the embodiment of the invention, the control of the whole-house smart home is more intelligent, and the artificial intelligence effect is better.

The invention provides a waste heat application method, system and device for a photovoltaic curtain wall, a controller and a medium, and the system comprises a plurality of photovoltaic modules, the back surfaces of which are installed against a wall body; the photovoltaic module is installed between the back of the photovoltaic module and a wall body; the heat exchanger is arranged on the back of the photovoltaic module relative to the fan; one end of the heat exchange water pipe communicates with the heat exchanger through a wall; the other end of the heat exchange water pipe is communicated with the water storage tank; each water supply pipe is further communicated with one external device, and the multiple external devices are arranged in the same smart home environment; the controller is electrically connected with the fan and the water storage tank, when the photovoltaic module works, the fan is controlled to blow hot air generated by the photovoltaic module to the heat exchanger to complete cooling of the photovoltaic module, and the heat exchanger heats water in the water storage tank through the heat exchange water pipe by means of heat in the hot air. And the water storage tank is controlled to convey the heated water to external equipment through the water conveying pipe according to preset requirements so as to supply hot water to the external equipment.

The invention discloses a dynamic test system and method based on a double-shaft extension permanent magnet synchronous dynamometer motor, the system comprises the double-shaft extension permanent magnet synchronous dynamometer motor, two ends of the double-shaft extension permanent magnet synchronous dynamometer motor are respectively connected with a first tested motor and a second tested motor through a coupling and a measuring device, and each motor is driven by an independent four-quadrant frequency conversion controller and is uniformly and coordinately controlled by a measurement and control unit. The system supports a double-side synchronous test mode, can perform performance test on two motors at the same time, has power expansion capability, forms a double-stator structure by connecting an auxiliary synchronous motor, realizes multiplication of test power, and can independently acquire electrical and mechanical signals, execute a synchronous control strategy and perform safety monitoring by integrating a measurement and control unit with a power analysis module. The test process is stable and reliable; the test efficiency and the equipment utilization rate are improved, the test power range is expanded, and the method is suitable for motor batch detection and high-power model machine verification.

The invention relates to a string type energy storage converter temperature equalization control method and system. The method comprises the steps that the operating temperature of each power module is collected; judging whether the string type energy storage converter needs to be subjected to temperature equalization control or not based on the temperature and the temperature difference of each power module; when it is judged that the string type energy storage converter needs to be subjected to temperature equalization control, a temperature weight factor is constructed based on the temperature of each power module, and the power of each power module is distributed based on the temperature weight factor; parameters such as the temperature state of each converter module are obtained in real time, the optimal power distribution scheme of the PCS module is calculated based on multiple targets, a power instruction is generated and issued according to the scheme, and then the temperature of the PCS module is adjusted; dynamically distributing power through a weight factor, and embedding thermal management into a power control closed loop; and multi-target cooperative control is realized, and temperature equalization, overheat protection and total power tracking are realized at the same time.

The present application provides an information playback control method, device, equipment and computer-readable storage medium; the method includes: when a trigger operation is detected on a rate control mark of a playback interface, in response to the trigger operation for the rate control mark, displaying rate options; wherein the rate options include intelligent adjustment options, and the intelligent adjustment options are used to trigger dynamic rate adjustment of multimedia information; when a trigger operation is detected on the intelligent adjustment options, in response to the trigger operation for the intelligent adjustment options, based on the content information of the multimedia information, determining the target rate ratio of the multimedia information; wherein the target rate ratio is dynamic; using the target rate ratio, adjusting the playback rate of the multimedia information to obtain the adjusted multimedia information; playing the adjusted multimedia information. Through the present application, the effect of multimedia information playback control can be improved through artificial intelligence.

An oil injection control system for a diesel engine comprises a multi-oil injection pump, an oil pumping mechanism, a driving mechanism and an oil supply amount adjusting mechanism, the oil pumping mechanism and the driving mechanism are arranged in a pump body, and the oil supply amount adjusting mechanism is arranged on the pump body; the oil pumping mechanism comprises a plunger which is driven by the oil supply amount adjusting mechanism to rotate, and a spiral line capable of adjusting the oil supply amount is arranged on the plunger. The driving mechanism comprises a hydraulic driving unit capable of driving the plunger to do linear reciprocating motion in the axial direction of the pump body. The oil injection pump device has the advantages that the oil injection pump device is simple in structure and easy to implement, the production and manufacturing cost can be greatly reduced, and the cost performance of a whole machine product is higher; the product is wider in application range and high in practicability; the control precision and strength are effectively improved, and the reliability and safety of products are guaranteed.

The fabricated building ventilation wall prefabricated part comprises a wall plate, the wall plate sequentially comprises an inner wall, a heat preservation layer and an outer wall from indoor to outdoor, and a ventilation pipe network is fixedly arranged in the heat preservation layer; a plurality of inner ventilation openings matched with the vertical pipes are formed in the positions, close to the top, of the inner wall so that the ventilation pipe net can be communicated with the indoor space, detachable inner ventilation assemblies are arranged in the inner ventilation openings, and a plurality of outer ventilation openings matched with the vertical pipes are formed in the positions, close to the bottom, of the outer wall so that the ventilation pipe net can be communicated with the outdoor space. A detachable outer ventilation assembly is arranged in the outer ventilation opening; in this way, ventilation is achieved through the ventilation pipe network, and further through modular design between the inner ventilation assembly and the wallboard and between the outer ventilation assembly and the wallboard, the functions of the whole ventilation wall can be designed, adjusted and optimized in a targeted mode according to the environment, and then more intelligent control is carried out in an assisted mode; and indoor and outdoor air circulation is more comfortable, energy-saving and efficient.

The present invention relates to the technical field of photovoltaic power generation regulating electric variables. The present invention provides a photovoltaic inverter multi-time scale robust control algorithm optimization method, which aims to solve the problem that the model parameters of the multi-time scale robust control algorithm are often difficult to obtain accurately, and will change with the change of the operating state of the photovoltaic power generation system, resulting in reduced accuracy of photovoltaic power generation output power regulation. The present invention obtains photovoltaic power generation system operation data, inverter operation data, natural environment data and power grid status data in real time, and uses online learning algorithms to perform parameter identification and adaptive adjustment, constructs short-term, medium-term and long-term control models, and realizes multi-time scale refined control. The present invention significantly improves the regulation accuracy, robustness and stability of photovoltaic power generation output power, while enhancing the system's adaptive ability, and promoting the intelligent and economic development of photovoltaic power generation systems.

The invention discloses an engineering machinery accelerator intelligent control method and engineering machinery. The engineering machinery accelerator intelligent control method comprises the steps that an angle detection device is used for detecting the rotation direction and the rotation angle of an entity rotary knob and sending a detection result to a controller; a controller is used for generating a control instruction according to the detection result of the angle detection device and sending the control instruction to an engine control module ECM; when the angle detection device detects that the entity rotary knob rotates in the first direction and the rotation angle reaches a first threshold angle every time, the controller enables the current accelerator gear to be increased by m gears, and the engine control module ECM controls the engine to execute the rotation speed corresponding to the increased accelerator gear, and when the angle detection device detects that the entity knob rotates in the second direction and the rotation angle reaches a second threshold angle every time, the controller reduces the current accelerator gear by n gears and controls the engine to execute the rotation speed corresponding to the reduced accelerator gear through the engine control module ECM.

The utility model relates to the field of subtropical plant cultivation and conservation, more specifically to a plant cultivation and conservation cabinet. Including, cultivate and conserve the storehouse, by two groups of side view glass surface, the glass door of opposite opening, the backplate and the top plate surround the cavity, the top plate has the fresh air system integratively, the cavity bottom is equipped with the humidification cold water tray, the equipment cabinet is independently with cultivate and conserve the storehouse setting and is communicated with cultivate and conserve the storehouse through pipeline and air duct, the equipment cabinet contains the refrigerating system, humidification system, circulating waterway system, sensor module that act on cultivate and conserve the storehouse, control system respectively with fresh air system, sensor module, refrigerating system and humidification system and circulating waterway system electricity is connected. The application provides a plant cultivation and conservation cabinet, effectively solves the single function of plant cultivation equipment in the prior art, environment control is not stable and the problem such as unreasonable structure.

The invention relates to the technical field of traffic control, and discloses an intelligent traffic control system and method based on traffic flow prediction, a historical unit is used for traffic flow prediction of a controlled road section, a central unit is used for traffic control by adopting traffic flow, and an acquisition unit is used for acquiring data information of road vehicles. The analysis unit receives the data of the acquisition unit and calculates a determination value P, the management and control unit carries out road management and control on a management and control road section, and the navigation unit is used for carrying out re-navigation on a vehicle driving into the management and control road; according to the method, when traffic control is carried out on the controlled road section based on the traffic flow, the historical average model is firstly adopted to carry out traffic flow prediction on the controlled road section, preparation can be carried out in advance, and when control is carried out, according to automobile data and riding data of different driving-in roads and different driving-out roads, the traffic flow of the controlled road section is predicted. And finally, the calculated real-time traffic flow VS is more accurate, so that the control is more accurate according to the calculated traffic flow.

The present application provides a control method, device, equipment and storage medium for an air purifier, which relates to the field of air purification technology. The method includes: if within a preset time period, when it is detected that the concentration of target particles in the target area is greater than a threshold value, the first purification power of the air purifier is calculated according to the target particle concentration; the first time period for adjusting the current purification power of the air purifier to the first purification power is determined, and the second time period for maintaining the operation of the first purification power is determined; according to the first purification power, the first time period and the second time period, a control instruction is generated so that the air purifier reduces the concentration of target particles in the target area according to the control instruction. The technical effect of the present application is: when the indoor particle concentration increases suddenly, the purification process is optimized by rapid response, which not only improves the purification effect, but also protects the equipment and prolongs its service life.

The invention discloses an electrochemical etching experiment device, and relates to the technical field of electrochemical etching, the electrochemical etching experiment device comprises a power supply, a processing box, an electrolysis chamber fixedly connected in the processing box and an electrolyte box fixedly connected with the bottom of the processing box, one side of the electrolysis chamber is provided with two groups of auxiliary gears and motors, and output shafts of the motors are provided with main gears; one side of the inner wall of the electrolysis chamber is fixedly connected with an electric telescopic rod, one end of the electric telescopic rod is fixedly connected with a piston plate, the piston plate is in sliding connection with the inner wall of the electrolysis chamber, two arc-shaped grooves are formed in the piston plate, and middle electrolysis plates are detachably connected into the arc-shaped grooves correspondingly; the inner top wall and the inner bottom wall of the electrolysis chamber are fixedly connected with arc-shaped electrolysis plates respectively; according to the present invention, the apparatus has characteristics of simple structure and complete functions, and can meet the experiment requirements of rectangular workpieces and cylindrical workpieces.

The application relates to the technical field of smart home, and discloses a device control method and device and an intelligent device, wherein the device control method comprises the following steps: collecting device data and user feature data from a smart home; defining positive samples and negative samples based on a contrast learning framework and according to user instructions, device data and user feature data; calculating a similarity matrix of the positive samples and the negative samples according to feature vector representations of the positive samples and the negative samples; analyzing fine-grained relationships between different samples based on the similarity matrix, and formulating a device control strategy according to an analysis result of the fine-grained relationships. The application can more accurately understand the real intention of a user and the state of a home environment, dynamically adjust a device control strategy according to real-time user behaviors and environmental changes, thereby realizing more personalized and intelligent device control, and enabling the device control to dynamically adapt to different scenes and user demands.

The utility model provides an intelligent control system of a road lighting system, which comprises the following contents: the intelligent control system of the road lighting system comprises a lighting system, a light sensor system and an intelligent control board, the light sensor system is electrically connected with the intelligent control board; the lighting system comprises a lighting lamp and an infrared sensing module; the illuminating lamp, the infrared induction module and the intelligent control board are electrically connected respectively; when the ambient brightness fluctuates at a critical value, normal work of the illuminating lamp is controlled through photoelectric detection and intelligent control, and misjudgment caused by ambient light boundary region fluctuation such as a dark-like and bright-like fluctuation state and instantaneous fluctuation is avoided.

The present application discloses a mode control method for a ship hybrid power system based on energy-saving design, which relates to the field of ship technology. The method obtains a power fuel consumption function according to the working characteristics of the hybrid power system, so that the output power of the driving main engine and the diesel engine that minimizes fuel consumption at the real-time speed can be obtained based on the power fuel consumption function, so that the working mode of the hybrid power system can be reasonably selected and switched for the purpose of energy saving. Moreover, the method can organically integrate multiple working modes of the hybrid power system. Through automatic selection by the system instead of relying on manual experience, the control of the working mode of the hybrid power system is more reasonable, more intelligent, and more conducive to the economic performance of the ship.