49 results about "Historical control" patented technology

The invention provides a running control method and device of an air conditioner and an air conditioner system. The air conditioner comprises an outdoor unit shell, an air inlet, an air outlet, and an air flue communicating the air inlet with the air outlet are defined by the shell, and a draught fan and a heat exchanger are arranged in the air flue. The running control method comprises following steps: a morphological image of a target user using a target air conditioner is collected, the morphological image of the target user is subject to image identification, characteristic information of the target user is obtained, according to all reference air conditioners in the area range where the target air conditioner is located, reference users matched with the characteristic information are inquired from users using the reference air conditioners, according to historical control parameters set by the reference users, target control parameters are calculated, and the target control parameters are used for controlling the target air conditioner. According to the method, the control operation of the air conditioner is simplified, and use convenience of the air conditioner is improved.

The invention discloses a contour control method of a complex track. The invention is combined with a cross-coupling control framework with contour error pre-compensation function, establishes adaptive data models for the axles participating in the servo movement, determines the identification parameters of the controlled servo objects according to the current target position points and a plurality of historical position point values, and real-timely sets the control parameters with a pole placement algorithm. The method which adjusts the controlled output on the basis of a historical control output and a future control output effectively curbs bounded process interference and improves the accuracy of the contour control and the stability of the process.

The invention discloses a method and system for controlling intelligent home equipment. The method for controlling the intelligent home equipment comprises the steps that emergency control information input by a user is received by a user side, and the emergency control information and a family mark are sent to a server; the emergency control information is analyzed by the server, so that a user-defined control map containing conditions and a conclusion is obtained, and the user-defined control map is synchronized to a controller corresponding to the family mark; machine learning is conducted on historical control information of the intelligent home equipment by the controller, so that a machine learning control map containing conditions and a conclusion is obtained; the user-defined control map from the server is received, an equipment control command is confirmed based on the machine learning control map and the user-defined control map, and the intelligent home equipment is controlled according to the equipment control command. By the adoption of the method and system for controlling the intelligent home equipment, the intelligent home equipment can be controlled more intelligently.

The invention provides an electronic device with a voice-controlling function, which comprises a storage unit, a sound-receiving unit, an instruction-analyzing unit, a processing unit and a logic-analyzing module, wherein the storage unit is used for storing a preset voice signal and the corresponding relation of the preset voice signal and a control instruction. The sound-receiving unit is used for receiving the voice signal of a user. The instruction-analyzing unit is used for comparing and analyzing the voice signal of the user and the preset voice signal and determining the corresponding control instruction. The processing unit is used for executing a function corresponding to the control instruction and storing the historical control instruction. The logic-analyzing module is used for determining the control instruction with the largest probability by combining the stored historical control instruction and the current working state of the electronic device when the voice signal of the user and the preset voice signal are analyzed to be not in unique correspondence by the instruction-analyzing unit, and the processing unit is used for executing the corresponding function according to the control instruction. The invention also provides a voice-controlling method. Through the invention, the electronic device with the voice-controlling function is more intellectualized, so that the use of the user is facilitated.

The invention provides a voice data processing method and apparatus of a mobile terminal. The method includes: acquiring voice data input by users; recognizing the voice data; obtaining a keyboard corresponding to the voice data and identification information of a controlled electronic device according to a recognition result, and performing classification according to goals of the users in the voice data; searching a first historical voice control event matched with the keyboard and a classification result from historical voice control events, wherein an execution result of the controlled electronic device corresponding to the first historical voice control event is execution success; and obtaining a corresponding historical control instruction from the first historical voice control event, and sending the historical control instruction to the controlled electronic device corresponding to the identification information to control the controlled electronic device to execute an operation corresponding to the historical control instruction. By employing the above scheme, the speech recognition performance can be enhanced.

The invention provides a networked servomotor control method based on a disturbance observer. According to the method, a measuring element acquires the angular displacement and angular velocity of a servomotor and sends the angular displacement and the angular velocity to the disturbance observer and a sliding mode controller through a network, the disturbance observer simultaneously reads historical control quantity values, stored in a control quantity buffer, and estimates a disturbance size and sends the disturbance size to the sliding mode controller, and the sliding mode controller obtains a control voltage signal through solving and sends the control voltage signal to the servomotor through the network so as to form closed-loop network control on the servomotor. The method is applied to a servomotor system with external disturbance, and the networked control is realized through network connection, so that the interoperability, flexibility and the like of the system are improved; through selecting a sliding mode function with historical control input, the network-induced time delay is compensated, and the stability of the system is improved; and through designing the disturbance observer, the disturbance suppression is realized, the buffeting of the system is reduced, and the dynamic performance of the system is improved.

The invention discloses a cooking control method and equipment and cooking equipment using the same; the cooking control method comprises the steps: utilizing a group of the historical control parameters of the cooking mode, which is the same with a required cooking mode, in cooking demand information input by a user as reference control parameters, and determining whether the reference control parameters are adjusted according to first demand information; if so, adjusting the reference control parameters by using present adjustable parameters input by the user and utilizing the adjusting results as the present control parameters; or else, directly utilizing the reference control parameters as the present control parameters; and controlling the cooking process by the cooking equipment according to the present control parameters to achieve user's satisfactory cooking results. The produced and stored historical control parameters during the process of using the cooking equipment by users are used as the reference values, the cooking demand information input by users is used as feedback values, and feedback regulation is performed on the cooking control parameters, so that different users' diversified requirements are satisfied and the problems in the prior are solved.

The invention relates to a method and a device for controlling an energy storage system, an energy storage system and a power system. The method includes the following steps: receiving a current powergrid dispatching instruction, and determining the minimum limit power according to the current power grid dispatching instruction and preset first control parameters; acquiring the current output value of a generator set and the historical control parameters in a first preset historical period, and obtaining a first predicted value of power according to the current output value and the historicalcontrol parameters; determining target control parameters according to the minimum limit power and the first predicted value of power; and acquiring a target output value of the energy storage systemaccording to the target control parameters, and making the energy storage system output electric energy according to the target output value. Thus, when the energy storage system and the generator set cannot respond to the power grid dispatching instruction, the target output value of the energy storage system can be flexibly adjusted so that the combined output value of the energy storage systemand the generator set can meet the dispatching demand of the power grid side.

The invention discloses a no-model adaptive control method for an assembled spacecraft attitude and a system thereof, wherein the method comprises the steps of performing online parameter estimation on a pseudo-Jacobian matrix in a compact-format dynamic equivalent linear model according to historical control input and historical system output of the assembled spacecraft through a minimization estimation criterion function, and obtaining an estimated value of the pseudo-Jacobian matrix; according to the estimated value of the pseudo-Jacobian matrix, through a frontward forecasting error criterion function, obtaining a control input estimated value at a next time point; and using the control input estimated value at the next time point as the control input of the assembled spacecraft at thenext time point, thereby finishing no-model adaptive control of the assembled spacecraft attitude. Through the no-model adaptive control method and the system thereof, adaptive controlling to the long-time-delay assembled spacecraft is realized.

The invention discloses an intelligent aroma volatilizing system which comprises a sensing device, a control center, a volatilizer, a client and a cloud, wherein the sensing device is used for collecting and extracting environmental parameter information influencing volatilization and volatilizing state in an external environment, converting the environmental parameter information into an electric signal, and transmitting the electric signal to the control center; the control center is used for controlling the volatilizer by combining historical control information of the cloud and the behavioral habit of the user according to an input instruction of the user at the client and the volatilization environmental information transmitted by the sensing device, and transmitting the operating state of the system to the client; the volatilizer is used for accepting a control signal of the control center, and controlling multidimensional volatilization of aroma. The intelligent aroma volatilizing system disclosed by the invention is controlled by a mobile terminal to finally produce high-end intelligent home equipment which can be used for simulating multiple scenes; the high-end intelligent home equipment has a main function of simulating smell, and realizes sense similarity of environmental atmosphere and ingredient similarity of healthy health-care functions.

Theinvention provides a remote control method, a remote control device and a remote controller. The remote control method comprises the following steps: acquiring multiple history control commands of any one operation option in the history control records according to the received selection command of any one operation option for a remote controller; and determining the target control command in the history control commands according to the attribute information of each history control command in the multiple history control commands. According to the technical scheme of the invention, after a user selects a certain operation option, the history control command executed by the operation option can be executed automatically, so that the user can send the control command without repeatedly selecting the operation option, the operation convenience can be improved, and the user experience is improved. Meanwhile, the problems of damage of buttons or a display screen due to excessive selecting times can be avoided by reducing the repeated selecting times.

The present invention provides an air traffic control instruction automatic generation method and system. The method comprises the steps of: constructing a control database corresponding to each control person; constructing an association rule according to a historical CFL instruction and a corresponding historical control voice; collecting air traffic control operation data, performing machine learning for the association rule; constructing a voice library corresponding to each control person; and when a new CFL instruction generated by an air traffic control automatic system is received, transferring corresponding voice signals for play from the voice library of the control person according to a machine learning result. The method can perform machine learning for the historical control record and can assist control persons in automatic generation of standard and accurate air traffic control instructions so as to reduce the control load, avoid speaking error generation and improve airtraffic control operation efficiency and safety.

The invention discloses a massage control method of a massager. The method comprises the following steps: acquiring basic information of a user; searching historical control data of other users with basic information similar to the basic information of the user according to the basic information; recommending a corresponding control mode for massaging according to the searched historical control data. Recommendation is made according to the control modes of the similar users, so that the massager can be controlled more effectively for the users with the similar basic information, and the massage control precision is improved.

An apparatus and method for deciding a target control data set of a fabric dyeing process, and a computer-readable storage medium thereof are provided. The apparatus decides a plurality of determination factors of a dyeing quality-related model according to a plurality of control factors corresponding to a plurality of historical control data set and calculates a coefficient corresponding to eachof the determination factors. The apparatus further calculates the target control data set that minimizes a dyeing target-related model according to a control condition set, wherein the dying target-related model is defined by the control factors, the control condition set includes a predetermined range of the dyeing quality-related model and a predetermined range of each control factor.

The invention relates to a diamond lathing cutter track tracing method which belongs to the field of micronano processing and ultraprecise processing, in particular to a cutter track tracing method in the diamond lathing process. The diamond lathing cutter track tracing method comprises the following steps of: quantizing a tracing error; obtaining an entangled state quantum error; obtaining a quantum state historical control parameter; obtaining digital control amount; carrying out inner product operation on a quantum bit in a ground state and the quantum state control parameter to obtain a final control amount which is suitable for digital amount control; and acting on a driver of the cutter for finishing tracing on a cutter track. The method provided by the invention is simple, does not need complicated parameter design and selection, has certain generality and is convenient for application and popularization in industrial control.

A data-analysis-based economical drive assist method comprises: collecting historical control data, historical vehicle state data and historical vehicle part consumption data from multiple vehicles, as well as historical ambient data for the corresponding vehicles; forming an ecological drive model based on the collected historical data, wherein the ecological drive model characterizes the correlation between vehicle part consumption and control data, the vehicle state data and the ambient data; providing economical drive related content services and/or control services for users based on the ecological drive model.

The invention discloses an early warning method and device for an unmanned vehicle. The specific execution method of the method comprises: parameter information of the unmanned vehicle is obtained; control information of the unmanned vehicle at present moment is extracted from the parameter information; historical control information which is in next preset time period and can match with the current time control information is queried in at least one pre-saved historical control information set of the unmanned vehicle; if the historical control information in the next preset time period comprises warning information is determined; if yes, early warning prompting is performed on the unmanned vehicle. According to the invention, the safety of the unmanned vehicle can be improved.

A trace receiver with multiple recording interfaces may be used to record the same input. The historical control point for starting and stopping trace recording is placed very near the front end. A new control point further from the font end allows the front end to continue operation while data is either presented to the memory interface for storage or discarded.

The embodiment of the invention provides a wind farm active power output smoothing control method and a device. The method comprises the following steps: predicting the output fluctuation trend of thewind farm by using a wind farm control model based on a Smith prediction algorithm; and determining and executing a wind power smoothing strategy of the energy storage system according to the outputfluctuation trend of the wind farm. The embodiment of the present invention applies Smith prediction to wind farm control according to the characteristic that the whole wind farm control system exhibits large time delay, which can ensure the stability of the wind farm wind turbine output as a whole, at the same time, according to the historical control results of the wind farm, statistical analysis is performed, the energy storage system can optimize the regulation compensation in advance according to the analysis results, which can improve the regulation speed and accuracy, reduce the regulation frequency and regulation amount of the energy storage device, and realize the win-win between the grid and wind farm.

The invention discloses a model training method and device, an operation processing method and device, a storage medium and equipment. The method comprises: acquiring a plurality of pieces of to-be-trained data, wherein the to-be-trained data comprises historical control information and first scene information corresponding to the historical control information, the historical control informationis information corresponding to a historical control instruction received by the electronic equipment, the historical control instruction is a misoperation instruction or a non-misoperation instruction, and the first scene information is scene information corresponding to a scene where the electronic equipment is located when the electronic equipment receives the historical control instruction; and performing model training according to the plurality of to-be-trained data to obtain an instruction prediction model used for predicting whether the control instruction is a misoperation instructionor not. According to the invention, the accuracy of judging the current operation of the user can be improved.

The invention provides a method and device for controlling an intelligent lamp. The method comprises the steps of obtaining an intelligent lamp control instruction input by a user, and determining theinstruction time of the control instruction; querying historical lamp control time period information, and determining a current lamp control time period corresponding to the instruction time, wherein the lamp control time period information includes a plurality of lamp control time periods; determining a corresponding historical control target according to a historical control instruction of thecurrent lamp control time period, and taking the historical control target as a current preset target; and controlling the preset target according to the control instruction. According to the methodand device provided by the embodiment of the invention for controlling the intelligent lamp, operation steps of the user can be simplified, and the operation time is saved; and the user behavior can be predicted based on the historical lamp control time period information, the target to be controlled is quickly determined, and the processing speed is high.

The invention discloses a control method for a distributed control system. The control method comprises the following steps: acquiring historical operation data of a unit; according to the historicaloperation data, establishing a corresponding relationship between the actual output quantity and the historical control parameters under different historical conditions; searching a corresponding target historical control parameter when the target condition is consistent with the historical condition and the actual output is the target output according to the corresponding relationship, and takingthe target historical control parameter as a current control parameter; and generating a control instruction according to the current control parameter, and sending the control instruction to a distributed control system of the unit. Therefore, the setting process of human intervention control parameters is avoided, and time resources and human resources are greatly saved; moreover, the setting accuracy of the control parameters is improved, and the requirements of an operator are better met. In addition, the control device and equipment for the distributed control system and the storage medium provided by the invention correspond to the method.