33results about How to "Realize self-learning function" patented technology

The invention discloses a smart home interaction control method. The method comprises the following steps: a voice instruction of a user is acquired; the voice instruction is parsed to acquire equipment information and function instruction information; infrared code tables corresponding to the equipment information are loaded; and according to the infrared code tables, the function instruction information is compiled into infrared control instructions for controlling equipment corresponding to the equipment information. The invention further provides a device for implementing the method. The device comprises an acquisition module, a parsing module, a loading module and a compiling module. The technical scheme is achieved on the basis of infrared remote control and voice control technologies, is suitable for traditional household appliances and effectively improves the user experience.

The invention relates to a digital globe, which comprises a globe body. Graphic elements of a variety of geographic information are distributed on the globe body; and different hidden identification codes are printed in various graphic element. The digital globe is also provided with a digital reading device for reading the hidden identification codes. The digital reading device comprises an image sensor, an image processing unit, a data storage unit, a speech decoding unit, a speech playing unit and a power supply unit for providing the working power supply. The image sensor scans the graphic elements of the globe body and transmits the corresponding hidden identification codes to the image processing unit; the image processing unit analyzes the hidden identification codes and transmits a corresponding signal to the data storage unit storing the globe information data; the data storage unit calls related speech data and transmits the related speed data the speech decoding unit for decoding; and the decoded speed data is played by the speech playing unit. The digital globe with the structure has rich information and provides convenience for self-study.

The invention discloses a self-learning method and device of a hydraulic torque converter, electronic equipment and a storage medium. The self-learning method of the hydraulic torque converter includes obtaining the oil pressure adjustment value of the sliding friction point corresponding to the hydraulic torque converter; Obtain the corresponding sliding point oil pressure learning value of the hydraulic torque converter according to the sliding point oil pressure adjustment value; obtain the gearbox control hydraulic torque converter according to the sliding point oil pressure calibration value and the sliding point oil pressure learning value Oil pressure command value. Through the technical solution of the present invention, it is beneficial to realize the self-learning function of the hydraulic torque converter triggered according to the state of the oil pressure adjustment value of the sliding point, and the process of adjusting the oil pressure according to the oil pressure adjustment value of the sliding point is omitted, which is beneficial Make the hydraulic torque converter realize the slippery friction control in the ideal state in time.

The invention discloses an intelligent soot blowing control method, system and storage medium based on multi-dimensional evaluation factors. By selecting a plurality of boilers reflecting the contamination degree of the heating surface corresponding to the soot blower and the influence of soot blowing on the safety and economy of boiler operation The operating parameters are used as the evaluation factors for the selection of sootblowers, and each evaluation factor is prioritized and grouped according to the impact of each evaluation factor on the boiler safety, the degree of economic operation, and the degree of correlation with the contamination of the heating surface; Determine whether the value of each evaluation factor is within the normal state range, count the number of evaluation factors within the priority level of each group whose value is not within the normal state range, and calculate the number of evaluation factors within the priority level of each group whose value is not within the normal state range. The number of evaluation factors judges whether soot blower is needed for soot blowing, thereby reducing the soot blowing steam loss of the power plant, reducing the risk of blowing damage to the heating surface, and improving the safety and economy of boiler operation.

The invention discloses a smart home control method with self-learning and dynamic adjustment functions, which includes: a controller communicates with a wireless router to obtain access time period information of an access device in a set time period, and according to the access The time period information classification equipment is: mobile terminal, fixed terminal; the controller records the control parameters for controlling the home equipment within the set time period; the controller obtains the access time period information of the mobile terminal to generate home time period information; the controller Obtain control parameters according to the access time period information of the mobile terminal, and generate at-home mode information; the controller controls the home equipment to work to match the at-home mode information according to the at-home time period information; the controller acquires all mobile terminals offline for a set time value , the controller controls the work of the home equipment to match the information of the away-from-home mode. The invention provides a smart home control method capable of providing users with ultimate comfort and good energy-saving effect.

Provided are a computer-executed real-time trial speech recognition automatic error correction method, a computer-readable storage medium and a computing device, the method comprising: responding in real time to detecting a modification operation performed by a user on a speech recognition text in a court trial system, and finding that Hot words are added to the hot word bank; real-time recognition of court speech; and real-time hot word matching and hot word replacement for the recognized text. According to the trial speech recognition system of the embodiment of the present invention, hot words are automatically found in real time and the hot words are constructed and updated during operation, thereby realizing the self-learning function of the trial system; by using ts_code on hot word storage and hot word replacement Technology, through fuzzy sound configuration, different settings can be automatically generated for different accents, so that the correction of speech recognition errors caused by various local accents can be realized simply and efficiently.

The invention relates to a digital globe, which comprises a globe body. Graphic elements of a variety of geographic information are distributed on the globe body; and different hidden identification codes are printed in various graphic element. The digital globe is also provided with a digital reading device for reading the hidden identification codes. The digital reading device comprises an image sensor, an image processing unit, a data storage unit, a speech decoding unit, a speech playing unit and a power supply unit for providing the working power supply. The image sensor scans the graphic elements of the globe body and transmits the corresponding hidden identification codes to the image processing unit; the image processing unit analyzes the hidden identification codes and transmits a corresponding signal to the data storage unit storing the globe information data; the data storage unit calls related speech data and transmits the related speed data the speech decoding unit for decoding; and the decoded speed data is played by the speech playing unit. The digital globe with the structure has rich information and provides convenience for self-study.

The invention discloses a vehicle as well as a monitoring method and a monitoring system for tire pressure thereof. The monitoring method comprises the following steps: acquiring position informationof the vehicle; controlling a tire pressure monitor to monitor the tire pressure of the vehicle according to the position information, thus acquiring tire pressure information of the vehicle; judgingwhether to trigger an alarm function of the vehicle or not according to current standard tire pressure information and the tire pressure information of the vehicle, and saving the tire pressure information and corresponding position information. According to the monitoring method for the tire pressure of the vehicle, disclosed by the embodiment of the invention, whether to trigger the alarm function of the vehicle or not is determined through fixed point monitoring on the tire pressure of the vehicle and according to monitored tire pressure information, and the running reliability of the vehicle in a specified position can be favorably ensured; by saving the tire pressure information of a fixed point position, related analysis and processing can be favorably carried out on the tire pressure during running of the vehicle.

The invention provides a charger. In order to solve the problem that the prior charger cannot carry out self-learning calibration on an intelligent battery, the charger is provided, wherein the charger comprises an adapter interface, a battery interface, a management module which comprises a control unit used for reading first information of the intelligent battery and sending a control signal according to the first information, a charging circuit for charging the intelligent battery when the control signal is a charge signal, a discharging circuit for discharging the intelligent battery when the control signal is a discharge signal and a hardware key for controlling the intelligent battery to enter a self-learning state, wherein the discharge circuit is constant load used for providing constant current or voltage for the intelligent battery. After the charger is adopted, a user can solve the self-learning process of the intelligent battery when using the charger and does not need to connect the intelligent battery to a notebook for self-learning.

The invention relates to a digitalized welding machine with a parameter self-learning function, which automatically generates parameters of a plurality of working point with good welding effect into parameters of other working points within an interval through a large step pitch calibration and local Newton interpolation parameter self-regulation algorithm, thereby achieving the effect of continuous regulation and overcoming the defect of sectionalized regulation of the discretization of a digitalized arc welding power supply. The invention can realize multiple welding processes including CO2 welding, P-MIG (Metal-Inert Gas Welding) welding, DP-MIG welding, and the like, has stable welding process and good welding line formation which are proved by tests, provides the storage modes of welding parameters with different attributes and priority levels aiming at different parameter generation modes and can ensure that the welding parameters are optimized; and in addition, the overwriting of the welding parameters and the self-learning function of the digitalized welding machine can be realized by utilizing the method to ensure that the welding parameters are more and more well used and the requirements on people for the intelligentization of the digital welding machine are met.

The invention discloses a frequency conversion control system for a bridge inspection vehicle, which includes a frequency converter, which is connected to a motor for frequency conversion control; The detection signal performs closed-loop control on the output signal of the frequency converter; the image acquisition module is used to collect the image information of the forward direction of the bridge inspection vehicle; the speed prediction module is respectively connected to the frequency converter, the PID controller and the image acquisition module. It is used to predict the driving speed of the bridge inspection vehicle according to the image information collected by the image acquisition module. On the other hand, it corrects the driving speed prediction process according to the real-time control information sent by the PID controller. The invention can improve the deficiencies of the prior art, and reduces the real-time calculation amount of the PID controller by preset driving speed.

The invention belongs to the technical field of data collection and analysis of industrial equipment, and discloses a machine learning-based equipment fault detection method. The technical scheme of the present invention is: S1. Acquire the initial data of the equipment that has failed; S2. Perform cleaning operations and secondary screening on the initial data; S3. Perform optimization operations on the pre-data and output retrieval results; S4. Classify to obtain the initial result set; S5. Classify the initial result set one by one; S6. By comparing the weighted average result and the initial result set, judge whether the equipment fault represented by the initial data belongs to a known fault; S7. Output through the man-machine interface Fault information or add the initial data to the fault database. The invention can realize the self-learning function of the machine, and at the same time, establishes the fault database of the equipment, can accurately and timely determine the equipment fault and the solution, can reduce the maintenance times of the mechanical equipment, significantly improve the maintenance efficiency, and is suitable for popularization and use.

The invention discloses an electric passenger door intelligent control system and an anti-pinching method. A center processor module, a door opening and closing input signal detection module, a motordetection module, a door position sensor, a temperature sensor, a motor driving module, a nonvolatile memory module, a communication module and a fault indicating module are included, and the door opening and closing input signal detection module, the motor detection module, the door position sensor, the temperature sensor, the motor driving module, the nonvolatile memory module, the communicationmodule and the fault indicating module are all connected with the center processor module. By means of the electric passenger door intelligent control system and the anti-pinching method, the safetyrequirement that a passenger door prevents pinching of personnel can be better met, and the problem that the anti-pinching performance is limited by the environment temperature is solved; the convenience requirement of installing and debugging of the passenger door is better met, and the problem that door opening and closing are not smooth because of different door opening sizes or the manufacturing tolerance is solved; the anti-pinching performance and door opening and closing smoothness reliability requirement in the design life period of a passenger door product is better met, and the problem that because of mechanical service life and abrasion, the anti-clamping performance and the opening and closing smoothness degrade is solved; and meanwhile, maintaining is easy, and the faults of an executing mechanism or an anti-pinching mechanism can be diagnosed and recorded.