37results about How to "Accurate control instructions" patented technology

The invention discloses a running machine adapted to the speed of a runner automatically. The running machine comprises a running table, a running plate, buffering columns, an acceleration sensor, a motor current detection and processing module, a motor driving module and a central processing unit. The motor driving module is used for receiving a control instruction of the central processing unit to control the rotating speed of a motor so that the speed of the running machine can be changed to be adapted to the speed of the runner. The central processing unit is used for receiving acceleration data of the acceleration sensor and real-time current and time interval data of the motor current detection and processing module, substituting all the data into a calculation model formula for calculation, comparing a calculation result with a preset experience threshold value and sending the corresponding control instruction according to a comparison result. The data of the acceleration sensor arranged at a specific position of the running machine and stride data of the runner are collected at the same time and combined to perform model formula calculation, and therefore the adjustment process for adaptation to the speed of the runner is more accurate and faster.

The invention discloses a ship bottom marine fouling organism cleaning robot, which comprises a machine body, walking devices arranged on the two sides of the machine body, an adsorption device arranged at the bottom of the machine body, and a cleaning device, a control device and a driving device which are arranged on the machine body. The cleaning device is used for removing organisms attached to the surface of the ship body; the walking device is used for driving the machine body to advance and steer; the adsorption device is used for adsorbing the machine body to the surface of a ship body; the driving device is used for driving the walking device; and the control device is used for controlling advancing and steering of the robot and cleaning of organisms attached to the ship body. Thewhole cleaning process can be completed at intervals when the ship berths at a port without being carried out in a dock, so that the cleaning period outside the ship is shortened, and the ship cleaning cost is reduced; and the cleaning robot is simple in structure, wide in raw material source, convenient to operate and high in practicability.

The invention discloses a control method and an electronic device. The control method is applied to a first electronic device; the first electronic device is in data connection with a second electronic device; the first electronic device comprises a touch sensitive unit. The control method comprises detecting and obtaining first sliding operation of a first area on the surface of the touch sensing unit; confirming first sliding direction which is corresponding to the first sliding operation; confirming a first control command which is corresponding to the first sliding direction based on a corresponding relation between the sliding direction and the control command; sending the first control command to the second electronic device to enable the second electronic device to achieve a first function due to execution of the first control command.

The invention discloses a seaside power plant circulating water pump double-frequency-conversion energy-saving control system and method. Based on circulating water pump frequency conversion transformation, protective control of circulating water mother pipe pressure is added, circulating water pump frequency conversion automatic control and circulating water pump outlet valve control loops are added, and a circulating water pump frequency conversion automatic protective control loop is arranged according to condenser vacuum, so that circulating water pump frequency conversion energy-saving automatic control is realized, the problem of multivariable cooperative control of sea level, circulating water inlet temperature, load and the like are solved, the automatic control level of the powerplant is increased, the electricity consumption of the circulating water pump is reduced and the energy-saving and consumption-reducing aims are fulfilled.

The invention relates to an intelligent mechanical tillage boat. The intelligent mechanical tillage boat includes a boat body component, a rotary tillage component and a lifting component; the boat body component includes a boat body, a power component, two water wheels and a front wheel, wherein the water wheels are symmetrically installed on the outside of the boat body, and the power componentis arranged inside the boat body. According to the intelligent mechanical tillage boat, the power component in the boat body component is used for driving, and accordingly the water wheels are drivenby to operate to control the movement of the boat body; a user terminal is used for sending control instructions to control the direction of movement of the boat body, accordingly the tillage positionof the rotary tillage component is changed, and on-site monitoring data is obtained by a monitoring probe; a wireless transmission unit is used for transmitting the on-site monitoring data to the user terminal in real time so that a user can observe and analyze the tillage situation in real time and send different control instructions to effectively adjust the direction of movement of the boat body; the effect of unmanned tillage by the mechanical tillage boat is realized, the tillage intensity is reduced, and the durability and precision of tillage are improved.

The invention relates to the technical field of battery simulation, and discloses a fuel cell system simulation test method, device and equipment and a storage medium. The fuel cell system simulationtest method of the embodiment comprises the steps that initial parameters in a test instruction are determined based on the test instruction for a fuel cell; to-be-tested simulation models corresponding to identifiers contained in the test instruction are determined from device simulation models of a simulation system of the fuel cell, wherein the to-be-tested simulation models are part or all ofcontrol simulation models, component simulation models of subsystem simulation models and stack simulation models contained in the device simulation models, the control simulation models are connected with part or all of the component simulation models, and the stack simulation models are connected with part of the component simulation models; and the initial parameters are input into an input interface of the simulation system, and test parameters of the to-be-tested device models in the test process of the simulation system are obtained.

The embodiment of the invention relates to the technical field of electronics, and discloses a control method based on image recognition, vehicle-mounted equipment and a storage medium. The method isapplied to the vehicle-mounted equipment and comprises the following steps: acquiring a facial feature sample and a gesture feature sample in advance; W; wherein the combination of the gesture featuresample and the face feature sample is used for responding to a control instruction of the vehicle; W; when the gesture of the driver is detected, t, the facial features of the driver and the gesturefeatures of the driver are obtained; A; and if the acquired combination of the facial features of the driver and the gesture features of the driver is matched with the combination of the acquired gesture feature sample and the facial feature sample, executing a control instruction for the vehicle corresponding to the matched combination of the acquired gesture feature sample and the facial featuresample. The unique driving behavior characteristics are formed by each driver, and the corresponding control instruction is executed according to the behavior characteristics, so that the recognitionrate and accuracy are improved, t, the executed control instruction is more accurate, and the driving safety and comfort are ensured.

The invention relates to a remote robot control system and method based on VR technology. The system comprises a camera, a direct-current brushless motor driver, a steering engine, a main controller,a vehicle-mounted mobile phone device and a handheld mobile phone device, wherein the camera and the main controller are installed on a robot, the direct-current brushless motor driver drives the robot to travel, the steering engine controls direction turning of the robot, the vehicle-mounted mobile phone device is installed on the robot, the vehicle-mounted mobile phone device is in communicationwith the main controller through bluetooth, the output end of the main controller is connected with the direct-current brushless motor driver and the steering engine correspondingly, and the vehicle-mounted mobile phone device is connected with the camera. According to the system and the method, the robot can be remotely operated, the system and the method have good universality for all kinds ofpeople, the image of the vehicle-mounted camera can be clearly and accurately presented in equipment of a handheld end, the traveling control of the robot is completed through the data communication between the vehicle-mounted mobile phone device and the Android client of the handheld mobile phone device.

The invention relates to an automatic control system and a control method for district transformer groups, and belongs to the field of automatic control systems for 10KV / 0.4KV low-voltage distribution networks. The automatic control system comprises power supply bus and N power supply lines. The power supply bus and every two adjacent power supply lines are connected with one another by interconnection switches, and every two adjacent power supply lines are connected with each other by an interconnection switch; a district main transformer is arranged on the power supply bus, a district main transformer side is connected with a district group master controller, district transformers are arranged on the power supply lines, district transformer sides are connected with district transformer controllers, and the district transformer controllers and the interconnection switches are connected with the district group master controller by wireless communication units. The automatic control system and the control method have the advantages that the automatic control system is reasonable in structural design, the numbers of operating district transformers can be regulated and controlled in real time, automatic network reconfiguration can be carried out on distribution networks with the district transformer groups, accordingly, distribution network structures can be optimized, the operation efficiency can be improved, light-load loss can be reduced, and the safe operation capacity of the distribution networks can be improved.

The invention discloses a non-contact reversing contactor, and belongs to the technical field of motor control. The non-contact reversing contactor comprises three phases of power supplies A1, B1 and C1 at an input end, three phases of power supplies A2, B2 and C2 at an output end, a positive thyristor group and a negative thyristor group, and is characterized by also comprising a singlechip unit and an interlocking module in (a) software or / and hardware form(s), wherein the singlechip unit controls the switching-on / off of the positive and negative thyristor groups through the interlocking module, and makes the positive and negative thyristor groups asynchronously in an on state. According to the non-contact reversing contactor, due to the adoption of the singlechip unit, control accuracy is improved; and the singlechip unit controls the switching-on / off of the positive and negative thyristor groups through the interlocking module, so that interlocked switching-on control over the positive and negative thyristor groups is realized, and a phase fault caused by the simultaneously switching-on of the positive and negative thyristor groups is avoided.

The invention discloses a myoelectric neck massage device and a control method. The myoelectric neck massage device has a system which comprises: a myoelectric bracelet, which is used for collecting and processing a myoelectric signal, generating a control instruction and transmitting the control instruction to a neck massage unit; and the neck massage unit, which is used for receiving the controlinstruction and completing actions, and comprises a control part and a peripheral part, wherein the control part is nested in the peripheral part. According to a scheme of the invention, the myoelectric neck massage device comprises the myoelectric bracelet and the neck massage unit; the myoelectric bracelet collects, processes and judges the myoelectric signal to form a corresponding instruction; the massage device main body part of the neck massage unit controls different operations according to a received instruction; the myoelectric bracelet and the massage device main body part work independently, only control communication of an instruction, and are small in mutual interference and influence and low in mutual dependency; and the myoelectric neck massage device is convenient to use and wide in applicability, and can be widely applied to the technical field of bioelectric signal acquisition and processing.

The invention discloses a multi-robot cooperative control method and device and computer equipment, and relates to the technical field of computers. The method comprises the steps that object information of a to-be-carried object and robot information of current available at least one robot are obtained firstly; according to the object information, position information of carrying insertion holesof the to-be-carried object is recognized; control instructions are sent to at least one robot according to the position information and the robot information, and accordingly front connectors of at least one robot are controlled to be inserted in the corresponding carrying insertion holes in a one-to-one manner; and if it is determined that at least one robot is inserted in the corresponding carrying insertion holes, carrying indication instructions are sent to at least one robot. The multi-robot cooperative control method and device and the computer equipment can replace a manual control manner, accurate cooperative control of multiple robots can be achieved, and control deviation is reduced.

The invention discloses an electric bed. The electric bed comprises a bed board, an armrest / armrests, a controller, medium sensors and a force sensor, wherein the armrest / armrests is / are assembled tothe side end of the bed board; and each armrest is provided with the medium sensors and the force sensor, and the medium sensors and the force sensor are electrically connected with the controller. The medium sensors and the force sensor are synchronously arranged on each armrest, when feeling that a user holds the armrest in a surrounding manner, the medium sensors synchronously detect the tensile force or pushing force applied to the armrest, the accurate control over the electric bed is realized through combination, so that the wrong intention recognition brought by the side pressure, downward pressure or twisting force of the body of the user using the electric bed during the use process of the electric bed is prevented, meanwhile, the wrong intention recognition generated by contact tearing for bedding, bed sheets and the like is prevented, so that the electric bed can more accurately recognize the use movement intention of the user, and then an accurate control instruction is given.

The invention relates to a shipborne photoelectric sensor control method and device, and the method comprises the steps: receiving a control instruction transmitted by an external upper computer, wherein the control instruction carries error angle control information, and the error angle control information comprises angle control information and angular velocity control information; controlling aphotoelectric sensor to act according to the error angle control information; receiving error angle feedback information sent by the photoelectric sensor; determining error angle deviation information according to the error angle control information and the error angle feedback information; receiving angular velocity feedback information sent by an external gyroscope, wherein and the gyroscope isconnected with the photoelectric sensor; determining angular velocity deviation information according to the angular velocity control information and the angular velocity feedback information; and sending the error angular deviation information and the angular velocity deviation information to an upper computer, so that the upper computer determines a new control instruction according to the error angular deviation information and the angular velocity deviation information. According to the scheme, the accuracy of the measurement result of the photoelectric sensor can be improved.

The invention discloses a speed following control method for an unmanned electrically-driven mine car, which comprises a planning module, a control module and a positioning module, and comprises the following steps: S1, outputting a planned acceleration and a planned speed by the planning module, and calculating a target acceleration according to the planned acceleration, the planned speed and the current speed of the mine car; S2, calculating the pitch angle of the ramp according to the pose information output by the positioning module; S3, calculating vehicle resistance and calculating target traction force by the control module according to the Newton second law; and S4, according to the target traction force F, in combination with vehicle speed information, performing table look-up on the motor external characteristic curve / generator external characteristic curve, and obtaining a vehicle accelerator / electric brake control instruction through calculation. The method has the advantages that the control instruction is more accurate, the robustness is high, and various complex working conditions can be well adapted.

The invention is applicable to the technical field of electronics, and provides a touch detection method and a touch detection device, which are intended to solve the problem in the prior art that the performance and touch accuracy of large-size resistive touch screens cannot be simultaneously met. The method includes: if touch data which is inputted by a user through a touch screen is detected, then carrying out voltage value sampling on detected touch points for n times; according to n x-axis sampled voltage values and n y-axis sampled voltage values, judging whether the positions of the touch points belong to touch-insensitive problematic areas; if the positions of the touch points belong to the problematic areas, then continuing to carry out voltage value sampling on the touch points, and calculating x-axis voltage values and y-axis voltage values of the touch points according to sampled data; and determining position coordinates of the touch points on the touch screen according to the x-axis voltage values and the y-axis voltage values. The technical solution of the invention reduces the processing load of a processor and increases touch performance, and moreover, problems, such as touch display refresh delay, are prevented.

The invention provides a method for controlling the yaw stability of a semi-trailer, which comprises the following steps: taking signals collected by sensors as system input, estimating a road adhesion coefficient by using lateral acceleration, calculating an ideal yaw velocity by using the lateral acceleration, a steering angle of a steering wheel, a wheel speed and the estimated road adhesion coefficient. The difference value between the actual vehicle yaw velocity measured by the yaw velocity sensor and the ideal yaw velocity is compared with the preset threshold value to serve as the basis for yaw stability control, and the control system can adapt to different road surfaces, so that the control instruction of the control system is more accurate, and the stability control effect is better. The output torque of an engine is reduced, active braking joint intervention is implemented in combination with yaw stability control intervention schemes under different working conditions, and accurate control over the yaw stability of the semi-trailer is achieved.

The embodiment of the present invention discloses a remote driving road feeling simulation method, device, system, and storage medium. The method includes: obtaining steering wheel resistance torque through a load observer; obtaining steering compensation torque through a reaction force strategy of an electric power steering system; Determine the road sense torque according to the steering wheel resistance torque and the steering compensation torque; send the road sense torque to the remote control terminal through the wireless network, so that the remote control terminal controls the road sense motor to generate the road sense torque. same torque. The embodiment of the present invention realizes the accurate feedback of the road sense information of the vehicle equipped with the EPS system to the driver of the remote control terminal, improves the accuracy of the vehicle operation information obtained by the remote control terminal, and is beneficial to the driver to issue more accurate control of the vehicle instruction.

The invention relates to a control method and device for a ship-borne photoelectric sensor. The method includes: receiving a control command from an external host computer, wherein the control command carries error angle control information, and the error angle control information includes angle control information and angular velocity control information ;According to the error angle control information, control the action of the photoelectric sensor; receive the error angle feedback information sent by the photoelectric sensor; determine the error angle deviation information according to the error angle control information and error angle feedback information; receive the angular velocity feedback from the external gyroscope Information, wherein, the gyroscope is connected with the photoelectric sensor; according to the angular velocity control information and the angular velocity feedback information, determine the angular velocity deviation information; The deviation information determines new control instructions. The solution can improve the accuracy of the measurement results of the photoelectric sensor.

The invention discloses a marine fouling biological cleaning robot at the bottom of a ship, which comprises a body, walking devices arranged on both sides of the body, an adsorption device arranged at the bottom of the body, a cleaning device, a control device and a driving device arranged on the body. The cleaning device is used to remove organisms attached to the surface of the hull, the walking device is used to drive the body to advance and turn, the adsorption device is used to adsorb the body on the surface of the hull, and the driving device is used to drive the walking device. The control device described above is used to control the robot’s movement, steering, and cleaning of the attached organisms on the hull. The entire cleaning process can be completed intermittently when the ship calls at the port, and does not need to be carried out in the dock, which shortens the cleaning cycle of the ship’s exterior and reduces the cost of cleaning Low cost, simple structure, wide source of raw materials, convenient operation and strong practicability.

This application relates to a construction site intelligent monitoring system based on the Internet of Things and its monitoring method, which includes: a camera, a protective cover, an external cleaning component, an internal cleaning component, and a protective component. The camera is connected to the wall of the construction site, and the wall device There is a mounting plate, the camera is connected to the top surface of the mounting plate, the protective cover is connected to the top surface of the mounting plate and is set to cover the camera, the middle part of the protective cover is set as a transparent part, the external cleaning component is connected to the top surface of the protective cover, and the work of the external cleaning component The inner part abuts against the outside of the transparent part, the inner cleaning component is connected in the protective cover, the working part of the inner cleaning component abuts against the inner side of the transparent part, the protective component is connected to the wall and is located above the mounting plate, and the working part of the protective component is in the shape of Move the setting along the horizontal direction, and the working part of the protective assembly is located above the protective cover when it rains. This application has the effect of improving monitoring quality.

The invention provides a multi-target high-dimensional multi-fractional-order optimization method for doubly-fed fan parameters. The method can optimize the parameters of a rotor-side converter controller in the doubly-fed fan, find a benefit balance point between reactive errors and rotor speed deviation, and coordinate the relation between target functions. According to the method provided by the invention, multi-dimensional information data of a high-dimensional multi-fractional order controller is introduced, and fractional order analysis calculation is carried out on the information data of each dimension; according to the method provided by the invention, a control theory is applied to an optimization method so that an iteration speed is accelerated; and the method provided by the invention comprises an exploration search part and a development search part. According to the method provided by the invention, an order operator is introduced, automatic adjustment is carried out in an optimization process, two search parts of exploration and development are balanced, and the global search capability is improved; and maximum power point tracking and low voltage ride through of the doubly-fed fan are realized.

The invention discloses a power grid electricity demand supervision method based on geographic information consistency verification. The method comprises the following steps: acquiring electricity behavior data of an electricity demand side; performing continuous processing on the power consumption behavior data based on curve fitting to obtain a power consumption state fitting curve in a target time period; performing power utilization behavior analysis on the power utilization state fitting curve to obtain to-be-regulated equipment on a power utilization demand side; and acquiring an actual physical position of the to-be-regulated device, performing consistency verification on the actual physical position and a preset position, and calling a scheduling strategy matched with the power consumption behavior analysis result from a pre-stored scheduling strategy scheme library according to a verification result, thereby performing power consumption behavior control on the power consumption demand side. Reliable connection between the intelligent equipment and the system monitoring platform is ensured through consistency verification of the actual physical position of the actual power utilization device on the user side and the preset position.

The embodiment of the invention provides a furniture control method and device. The furniture control method comprises the steps: collecting voice information; converting the voice information into text information; splitting the text information by adopting a preset word segmentation rule to obtain a plurality of initial words; querying a control instruction matching the initial word in a presetfurniture control library; and executing the control instruction on the furniture. After the voice information is subjected to voice analysis according to a preset splitting method, an accurate control instruction is inquired in a furniture control library with big data, and intelligent control over furniture is achieved.

The present application discloses a parking processing method, system, device and vehicle controller, and relates to the technical field of intelligent transportation, especially to the technical field of autonomous parking. The specific implementation plan is: executed by the parking system deployed on the vehicle controller, the parking system includes a perception module, and other modules except the perception template; the perception module is deployed on the vehicle controller on the first operating system in the vehicle controller; the other modules are deployed on the second operating system in the vehicle controller; the method includes: processing the images collected by the image collector through the sensing module to obtain sensing result data ; Control the vehicle through the other modules according to the sensing result data obtained from the sensing module. Through the synergistic effect of the first operating system and the second operating system, the parking system can utilize existing vehicle resources to realize autonomous parking without external controller hardware, thereby reducing costs.

The invention relates to an automatic control system and a control method for district transformer groups, and belongs to the field of automatic control systems for 10KV / 0.4KV low-voltage distribution networks. The automatic control system comprises power supply bus and N power supply lines. The power supply bus and every two adjacent power supply lines are connected with one another by interconnection switches, and every two adjacent power supply lines are connected with each other by an interconnection switch; a district main transformer is arranged on the power supply bus, a district main transformer side is connected with a district group master controller, district transformers are arranged on the power supply lines, district transformer sides are connected with district transformer controllers, and the district transformer controllers and the interconnection switches are connected with the district group master controller by wireless communication units. The automatic control system and the control method have the advantages that the automatic control system is reasonable in structural design, the numbers of operating district transformers can be regulated and controlled in real time, automatic network reconfiguration can be carried out on distribution networks with the district transformer groups, accordingly, distribution network structures can be optimized, the operation efficiency can be improved, light-load loss can be reduced, and the safe operation capacity of the distribution networks can be improved.

The invention is applicable to the technical field of electronics, and provides a touch detection method and a touch detection device, which are intended to solve the problem in the prior art that the performance and touch accuracy of large-size resistive touch screens cannot be simultaneously met. The method includes: if touch data which is inputted by a user through a touch screen is detected, then carrying out voltage value sampling on detected touch points for n times; according to n x-axis sampled voltage values and n y-axis sampled voltage values, judging whether the positions of the touch points belong to touch-insensitive problematic areas; if the positions of the touch points belong to the problematic areas, then continuing to carry out voltage value sampling on the touch points, and calculating x-axis voltage values and y-axis voltage values of the touch points according to sampled data; and determining position coordinates of the touch points on the touch screen according to the x-axis voltage values and the y-axis voltage values. The technical solution of the invention reduces the processing load of a processor and increases touch performance, and moreover, problems, such as touch display refresh delay, are prevented.

The invention provides a method for controlling the yaw stability of a semi-trailer. The signal collected by each sensor is used as the system input, and the road surface adhesion coefficient is estimated by using the lateral acceleration, and then the lateral acceleration, the steering angle of the steering wheel, the wheel speed and The estimated road surface adhesion coefficient calculates the ideal yaw rate, and compares the difference between the actual vehicle yaw rate measured by the yaw rate sensor and the ideal yaw rate with the preset threshold value, so as to determine the yaw stability It can adapt to different road surfaces, make the control command of the control system more accurate, and the stability control effect is better. By reducing the output torque of the engine, combined with the yaw stability control intervention scheme under different working conditions, the active braking joint intervention is implemented to realize the precise control of the yaw stability of the semi-trailer.