312results about How to "Avoid cumbersomeness" patented technology

The invention discloses a method, a device and a system for adjusting driving modes and a vehicle. The method includes receiving a voice instruction; querying feature databases; determining parameter information of the driving modes on the basis of to-be-confirmed voiceprint features; acquiring the voice instruction and acquiring the parameter information of the driving modes in driving procedures. The method, the device, the system and the vehicle have the advantages that the vehicle can be adjusted to be in the most familiar and habitual driving modes by the aid of the single voice instruction, and accordingly users can be positioned in habitual driving environments without manually adjusting the parameter information of the driving modes; the parameter information of the driving modes of the users can be automatically acquired in the vehicle driving procedures of the users without being manually set by the users, the tedious properties of user operation can be prevented, specific physical buttons can be omitted, and influence on the aesthetics of internal environments of the vehicle can be prevented; the quantity of the parameter information of the driving modes of the users is unlimited for the same vehicle, and the personalized driving modes of the various users can be implemented.

The invention provides an intelligent automobile-key system based on bluetooth communication, which comprises a PEPS (Passive Entry & Passive Start) controller, a vehicle-mounted bluetooth module, an electronic terminal and a door-handle switch, wherein the PEPS controller is connected with the vehicle-mounted bluetooth module and the door-handle switch, the PEPS controller is used for controlling a vehicle antitheft system and an engine system, the vehicle-mounted bluetooth module is used for realizing bluetooth communication with the electronic terminal, the electronic terminal has an intelligent automobile-key application program, and the door-handle switch is used for the input of user unlocking and locking requests. Because the vehicle-mounted bluetooth module exists, a vehicle is controlled to actively send out a bluetooth signal for actively identifying and authenticating the electronic terminal, such as a mobile phone, so that complicated operation is avoided.

The invention discloses a method for implementing code programming by graphical operations. The method is involved with a node module, a testing environment module, a flow chart module, a function module and a code output module. The node module is used for establishing test nodes corresponding to test programs according to different devices to be tested, related test devices and the corresponding test programs. The testing environment module is used for establishing a current operating environment for the flow chart module according to information of the device to tested, selected by a user. The flow chart module is used by the user to sequentially establish graphic flow charts formed by the test nodes according to the devices predicted for testing and the test nodes selected in correspondence to the corresponding test devices. The function module is used for storing and recording new functions and for supporting function calls regarding to the node module and the flow chart module. The code output module is used for converting the generated graphic flow charts into executable files formed by codes and outputting the files. The method is compatible with various testing environments (operating systems and CPU (central processing unit) environments) and is capable of providing graphical interface editing and testing logics to users and visually displaying the operating process and testing implication of function modules.

The invention discloses a fuzzy rough set and decision tree-based track circuit red light strip fault positioning method. The method mainly comprises the following steps of: 1) establishing an initial decision table; 2) carrying out fuzzy discretization on continuous fault feature attributes to establish a fuzzy decision table; 3) inputting fault sample training data to obtain a reduced decision table; 4) establishing a diagnosis decision tree model; 5) inputting measured data into the diagnosis decision tree model, carrying out calculation to obtain a fault diagnosis result, inputting the measured data into a diagnosis positioning decision tree model, carrying out preliminary judgement to obtain a fault positioning result, judging faults of specific equipment by combining expert experiences, and giving corresponding fault maintenance suggestions. The method can rapidly and correctly position fault points of uninsulated frequency shift track circuit red light strip faults, greatly reduce the blindness and complexity of fault diagnosis, have relatively good rule explanation and relatively good robustness, improve the fault positioning speed and correctness and provide a new fault positioning technological means for intelligent fault diagnosis of track circuits.

The invention provides a four-rotor unmanned aerial vehicle route following control method based on deep reinforcement learning. The method comprises the following steps of firstly, establishing a Markov model of a four-rotor unmanned aerial vehicle route following deep reinforcement learning algorithm, and then performing deep reinforcement learning by adopting a deep deterministic policy gradient (DDPG) algorithm. The problems of relatively low control precision, continuous control incapability, unstable learning process and the like in a conventional method based on reinforcement learning are solved, and high-precision four-rotor unmanned aerial vehicle route following control is achieved. According to the method, the reinforcement learning is combined with a deep neural network, so that the learning ability and the generalization ability of the model are improved, and the complexity and carelessness of manually operating flight of an unmanned aerial vehicle in the uncertainty environment are avoided, so that completion of a route following task by the unmanned aerial vehicle is safer and more efficient; and meanwhile, the method has good application prospects in scenes of unmanned aerial vehicle target tracking, autonomous obstacle avoidance and the like.

The invention provides an intelligent pressure guide wire based on flexible MEMS sensors and a manufacturing method of the sensors. The body of the pressure guide wire is of a solid structure, the guide wire is made to rotate in the circumference by controlling the head of the guide wire, and the guide wire can move forward in a blood vessel of a human body in cooperation with the axial feeding of the guide wire; the pressure sensors which are distributed on multiple points are arranged at the tail of the pressure guide wire and connected with internal leads, the sensors reach the head of the guide wire along the guide wire, a sensor lead electrode point is arranged on the head of the guide wire and connected with a controlling handle, and blood flow pressure signals measured by the pressure sensors are collected in real time. The pressure sensors are fully flexible and wrap the surface of the guide wire in a wind-around mode; the head of the guide wire is designed to be flat so that the head of the guide wire can be connected with an external torque sensor on the controlling handle and the feedback torque generated when the guide wire rotates can be measured in real time. The guide wire solves the problem of limitation existing in the manufacturing and measurement process of an existing pressure guide wire.

The invention discloses a method of filtering an airborne LiDAR (Light Detection and Ranging) point cloud. The method comprises the following steps of firstly, carrying out gross error elimination and regular grid transformation on LiDAR point cloud data so as to generate a depth image; secondly, computing a segmented elevation threshold through an Otsu algorithm in an image threshold segmentation technology, and carrying out iterative rough classification of ground points and non-ground points on the point cloud data, which are obtained before regular grid transformation and resampling, through the threshold; lastly, respectively carrying out progressive triangulation network filtering on the classified ground points and non-ground points through the two different thresholds, and outputting network construction point cloud data, namely, ground point data. According to the method, the point cloud data, which participate in a filtering process, are data, which are obtained before regular grid transformation and resampling, so that the problem of accuracy loss of the point cloud due to regular grid transformation can be effectively avoided; a categorical attribute guidance is provided for the progressive triangulation network filtering, a filtering strategy is correspondingly adjusted for different terrain conditions, so that a better filtering effect is obtained.

The invention provides a charge control device, a prepayment electricity selling system, an electricity selling system and a method thereof. The charge control device comprises a bank and electricity network module, a backstage accounting module and a remote control module, wherein the bank and electricity network module is used for communicating with a bank service transaction processing system and acquiring recharging information of electricity purchasing of users, the backstage accounting module is used for accounting according to the acquired electricity informationof the users and electricity price parameters and updating residual payments of remote charge control users after recharging according to the recharging information, and the remote control module is used for acquiring accounting results of the backstage accounting module and remotely controlling ammeters of the users according to the accounting results.

The present invention relates to a rotary solid vision vidicon external parameter self-demarcating method, comprising the steps as follows: firstly, in a rotary solid vision half self-demarcating method, a vidicon is demarcated manually at one direction, and an obtained vidicon projection matrix is decomposed to get internal and external parameter matrixes; secondly, the pole coordinate of a picture taken from the same object is determined from two directions, the direction of a rotating shaft and the translational volume of the rotating shaft under a first vidicon coordinate system are obtained in terms of the pole coordinate and the relation of vidicon internal parameter and rotary matrix; finally, the vidicon projection matrix at any direction is calculated according to the obtained parameters. The present invention provides a self-demarcating method which is simple for calculating and can get the vidicon external parameter just requiring the picture of the object at the two directions.

The invention discloses a container automatic overturning and opening-closing device for a vertical waste compression station. An overturning platform is hinged to a vertical frame; a first driving oil cylinder is hinged to the overturning platform, and is used for driving the overturning platform to be overturned around a hinge shaft; the overturning platform is provided with two guide rails and a bolt mechanism; a left bolt fixing seat and a right bolt fixing seat of the bolt mechanism are symmetrically arranged on the outer sides of the two guide rails of the overturning platform respectively; two bolt shafts are arranged in the left bolt fixing seat and the right bolt fixing seat in a sliding fit way respectively; the middle parts of the two bolt shafts are connected with the two ends of a second driving oil cylinder respectively through connecting pieces; the second driving oil cylinder is used for driving the two bolt shafts to be matched with a first shaft sleeve at the bottom of a container body or driving the two bolt pin shafts to support the overturning platform on a platform positioning frame; a positioning block is arranged on a second transverse beam at the upper end of the platform positioning frame; a container door opening-closing mechanism is arranged at the hinged end of the overturning platform. By adopting the container automatic overturning and opening-closing device, automatic unlocking, overturning, closing and locking of the container body are realized, the workload of working personnel is lowered, and the danger of high-altitude operation is avoided.

The invention relates to the technical field of machines. Pulse cleaning equipment for a water supply pipeline comprises pipeline cleaning equipment. The pipeline cleaning equipment is provided with a pulse air outlet. The pulse air outlet of the pipeline cleaning equipment is detachably connected with the pipeline to be cleaned. The pipeline cleaning equipment is further provided with a high-pressure air inlet. The high-pressure air inlet of the pipeline cleaning equipment is connected with an air compressor and communicated with the pulse air outlet through a first pipeline. An electromagnetic valve used for controlling on-off of airflow in the first pipeline is arranged on the first pipeline. The first pipeline is located inside the pipeline cleaning equipment. The electromagnetic valve is connected with a control system. The control system is also connected with a clock module. According to the pulse cleaning equipment for the water supply pipeline, the electromagnetic valve is controlled to open and close intermittently through the clock module, so that air pulses are achieved; through the combination of water flow in the pipeline to be cleaned and the high-pressure air delivered intermittently, the pipeline cleaning effect is improved, and cleaning dead corners are avoided while the pipeline is not corroded.

The invention discloses a color Doppler ultrasound imaging module and method. The module comprises a wall filtering unit, an auto-correlation coefficient unit, a parameter acquisition unit, a color region selection unit, a decision-making and judging unit, a multi-loop buffer region unit, an image filtering unit, a self-adapting buffer region unit and an image processing unit, wherein the wall filtering unit, the auto-correlation coefficient unit, the parameter acquisition unit and the color region selection unit are connected in sequence; the color region selection unit is connected with the decision-making and judging unit and the multi-loop buffer region unit respectively; the output end of the multi-loop buffer region unit is connected with the input end of the decision-making and judging unit; the output end of the decision-making and judging unit is connected with the image filtering unit; the output end of the image filtering unit is connected with the self-adapting buffer region unit and the image processing unit respectively; and the output end of the self-adapting buffer region unit is connected with the wall filtering unit. The invention has the advantages that the color Doppler ultrasound imaging effect is improved and the implementation of color Doppler ultrasound imaging is easier.

The invention provides an active noise reduction method and device, a headset and a computer storage medium. The method includes the following steps: acquiring audio data; judging the scene category corresponding to the audio data by using a trained scene classification model, and outputting the classification result of the scene category; and selecting an active noise reduction mode according tothe classification result. The noise reduction mode is selected according to the scene category in the invention, so that insecurity caused by noise reduction is avoided, and the tediousness of manualswitching between noise reduction modes is avoided.

The invention discloses a method and a system for establishing a fracture forming limit diagram of a high-strength aluminum alloy sheet, and relates to the technical field of sheet forming limit determination. The method comprises the following steps of firstly, obtaining a fracture criterion related mechanical variable comprising fracture initial strain and fracture end strain through a combination scheme of a unidirectional tensile test, a plane strain test and a bidirectional equal-tension test in the stable stress states; secondly, determining two groups of fracture parameters according tothe mechanical variable and a Lou-Huh toughness fracture criterion; and finally, computing a forming limit curve according to the two groups of fracture parameters, and drawing a fracture forming limit diagram with a fracture zone, a dangerous zone and a safety zone. According to the method disclosed by the invention, the establishment of the forming limit diagram of the high-strength aluminum alloy sheet is realized through a simple and easily-implemented test means in combination with a novel theoretical method with stronger applicability, so that the complexity of the forming limit diagramobtained by testing is avoided, the inapplicability of a traditional theory to the high-strength aluminum alloy sheet is also solved, and typical problems existing in a realization process of the novel theoretical method are also effectively avoided.

The invention relates to a laser head height adjusting device and a laser head height adjusting method based on CCD (charge coupled device) vision. The laser head height adjusting device based on CCD vision comprises a machining platform, a clamping device, a laser head and a CCD camera, wherein the clamping device is arranged above the machining platform and comprises a transverse clamping connecting part and a longitudinal clamping connecting part which are mutually pivoted; the laser head is arranged on the pivoted transverse clamping connecting part of the clamping device and is arranged above the machining platform; and the CCD camera is pivoted on the pivoted longitudinal clamping connecting part of the clamping device, and the angle between the CCD camera and the longitudinal clamping connecting part is adjustable. The laser head height adjusting device and the laser head height adjusting method based on CCD vision have the advantages that the laser machining quality can be guaranteed, the machining accuracy is improved and the situation of position change of a focal point can be determined rapidly and conveniently.

The invention provides a virtual military training method and device. The method comprises that body 3D data of military training participants, 3D data of a training place and 3D data of training equipment are obtained, and RGB image data and depth image data of the military training participants are obtained; according to the body 3D data, the 3D data of the training place and the 3D data of the training equipment, corresponding human body model, training place model and training equipment model are established respectively; attitude analysis is carried out according to the obtained RGB image data and depth image data, and kinematic data of human body is obtained; on the basis of the human body model, training place model and training equipment model, virtual reality motion simulation is carried out according to the kinematic data; and a training motion in the virtual reality motion simulation process is compared with a standard template motion in a preset motion standard template data base to obtain a training analysis result.

The invention relates to a bilinear-group-based cross-domain union authentication method, which comprises the following steps of: 1, the initialization of a system, namely, randomly selecting different mutually isomorphic subgroups Gk as key generating parameters of corresponding domains by using each domain, wherein k is more than or equal to 1 and less than or equal to R; 2, the generation of keys of each domain, constructing an authentication center private key / public key pair by mapping the generating parameters and a Hash function; 3, the key distribution of a domain authentication center (DAC) to members in the domains; and 4, cross-domain key verification, namely, the member UD1 in the union domain D1 is supposed to be required to access the member UD2 in the union domain D2, performing the cross-domain key verification between UD1 and UD2, and if the UD1 and UD2 pass the cross-domain key verification, determining that UD1 is an internal member with the union domain public key of PD1 so as to achieve the authentication effect of crossing a plurality of domains. By the method, multi-domain resource sharing is realized, simultaneously, the security and entity anonymous properties of resources of each domain can be ensured, the bidirectional entity anonymous authentication of resource access among the plurality of domains is supported, and the privacy of each entity is relatively better protected; and the method is relatively more flexible, secure and practicable.

The invention relates to a right-angle cutting chatter analysis modeling method. The right-angle cutting chatter analysis modeling method comprises the following steps that firstly, a right-angle cutting chatter kinetic model is established; secondly, dynamic cutting force and a cutting force coefficient are calculated; and thirdly, a stability SLD figure of the right-angle cutting process is calculated. According to the right-angle cutting chatter analysis modeling method, the dynamic cutting process is regarded as the quasi-static cutting process at every moment, workpiece material features, tool geometry and cutting parameters are used as input parameters, the dynamic cutting force can be calculated through the cutting parameters which can be equivalently transformed, the expression of the dynamic cutting force coefficient is then theoretical deduced, through algebraic equation arrangement, the dynamic cutting force coefficient is obtained, the tediousness of experimental calibration is avoided, and the accuracy is improved; and in addition, the dynamic model of cutting chatter of a machine tool system can be expressed with a delay differential equation, the right-angle cutting chatter stability SLD figure is obtained with a time domain semi-discrete method through cutting stability analysis, and relatively real chatter stability prediction is provided.

The invention relates to the technical field of communication, and particularly relates to a base station test method, a base station test system, a terminal, and a cloud server. The invention aims to reduce the complexity of the base station test scheme and improve the test accuracy. In an embodiment of the invention, a terminal tests a to-be-tested base station through information interaction with a cloud server, there is no need for test personnel to carry out test multiple times using a variety of test tools, and the use of test tools and the test complexity are reduced. The terminal sends test data collected in real time to the cloud server for analytical processing, so that inaccurate test results and non-unified standard caused by artificial analysis are avoided, the accuracy and automation degree of analytical processing are improved, and the efficiency of the whole test scheme is improved. Moreover, because the test data is transmitted in real time, the cloud server can detect mistaken test, missing test, or the like in time, retest can be carried out immediately, and the problem that there is a need to return to the site for retest in the prior art is avoided completely.

The invention provides a registration and consultation transferring system and method. The registration and consultation transferring system comprises a community doctor workstation terminal, an urban area hospital information center and a mobile intranet special line, wherein the community doctor workstation terminal is arranged in a community hospital, the urban area hospital information center is arranged in an urban hospital, and the community doctor workstation terminal and the urban area hospital information center are connected through the mobile intranet special line. The registration and consultation transferring system and the method have the advantages that the transmission speed and the safety performance of data are ensured by adopting the intranet special line, the process of consultation transferring from the community hospital to the urban hospital of a patient is simplified, the patient does not need to queue up again for registration in the urban hospital, and seamless joint between a previous-level medical institution and a next-level medical institution is achieved; the medical guidance concept responsible for patients and oriented to the patients is embodied, doctors can be helped to more accurately and rapidly diagnose patients' conditions, and the working efficiency of the doctors is improved.

The invention relates to a motor, in particular to a combining compensating type winding rotor asynchronous motor, which solves the problem that the motor of a heavy loaded device needs connecting a frequency-sensitive rheostat in winding rotor return circuit when the heavy loaded device is started, electric energy consumption is larger and a starting device is complex which is caused by the matching starting rheostat and a change-over switch. The invention comprises a stator winding and a rotor winding, the stator winding is connected into two groups or three groups three phases windings, at least two groups three phase windings are connected into a combining wiring which is provided with three compensating ends whose electric potential value is closed to zero, the three compensating ends are connected with three wiring ends of the rotor winding which takes star shape connection, and a switch group which is formed by three switches which take star shape connection is connected with the three wire ends of the rotor winding which take star shape connection. The invention avoids tedious property of the matching starting rheostat of winding rotor asynchronous motor, utilizes bending connection and the inner compensating function of a bridging condenser, and generates distinctive electricity saving effect in normal running.

The invention discloses a foggy weather image reconstruction method based on polarization, comprising following steps: 1, obtaining the polarization images in different polarization angles; 2, calculating the Stokes vector value of an object image; 3, estimating the atmosphere light intensity value of the infinite distance by using light channel priori rules; 4, estimating the atmosphere light polarization degree by using a filtering method; 5, reconstructing a fogless scenery image; 6, carrying out DOP partial index enhancement to the fogless image. According to the invention, the fogless image from the foggy weather image can be reconstructed well; and the definition of the image is improved.

The invention relates to an automobile network signal detection method. A detector is connected to an OBD diagnosis seat of an automobile. Firstly, the voltage of an automobile storage battery is detected;, when the voltage is normal, software communication between the CAN data and the mobile terminal can be realized in a wireless manner; whether the CAN data communication LED lamps RX and TX on the detector flicker or not is observed, if the CAN data communication LED lamps RX and TX flicker, it is indicated that CAN data communication is normal, fault codes of all ECUs of an automobile are read through wireless communication, the network fault of the automobile can be accurately detected and positioned, and the network fault reason on a positioning node can be judged through the detector; And after the cable fault is eliminated, the automobile ECU still cannot communicate with the network, and whether the CAN waveform transmitted and received by each ECU meets the standard or not isdetected through the detector. The cable fault problem is judged through flickering cooperation of the LED lamp, simplicity and clearness are achieved, a deep relevant professional basic theory does not need to be mastered, and the problems that diagnosis is time-consuming, labor-consuming and low in efficiency are solved.

The invention discloses a track circuit red-light strip default diagnosis method based on the FTA and a multilevel fuzzy-neural sub-network. The establishment of a default diagnosis module mainly comprises flowing steps of (1) FTA qualitative analysis for determining a default tree module according to default investigation and analysis and using the descending method to search the minimum cutset; (2) FTA quantitative analysis for solving probability of occurrence of an intermediate event and a top event according to probability of occurrence of a bottom event obtained according to the investigation and analysis and applying the Fussell method to analyze the importance degree of the minimum cuset; (3) extracting default diagnosis rules by analyzing knowledge contained in the default tree; (4) designing a diagnosis system structure and constructing a multilevel fuzzy-neural sub-network module according to the FTA analysis results; (5) setting fuzzy subordinating degree function parameter according to a to-be-diagnosed object, and adjusting network weights via sample learning and training so as to determine a default diagnosis module; and (6) inputting the measured data into the default diagnosis module in the actual running so as to obtain default diagnosis results via calculation. The track circuit red-light strip default diagnosis method can be used for automatically positioning a default point rapidly during a ZPW-2000 non-insulated frequency shift track circuit red-light strip default.

The invention provides a low-sidelobe and null beam forming method. By use of the method, the design complexity of low-sidelobe and null weight vectors can be lowered, flexibility can be enhanced, andconvenience is brought to hardware implementation. According to the technical scheme, based on virtual subarray step-by-step weighting, an actual uniform linear array is divided into two virtual uniform linear subarrays, and the two subarrays share only one array element; a low-sidelobe and null weight vector module performs null constraint and low-sidelobe constraint on a beam pattern through step-by-step weighting, beam widths corresponding to the weight vectors of the two virtual subarrays are made equal by adjusting the distribution mode of array elements of the virtual subarrays and sidelobe level values, the low-sidelobe and null weight vector module performs convolution on low-sidelobe weight vectors and null weight vectors obtained by a low-sidelobe weight vector module and a nullweight vector module respectively, and the low-sidelobe and null weight vectors are obtained; and then the optimal weight vector is selected according to the principle that a beam main lobe is the narrowest when the maximum sidelobe level is smaller than a threshold, and low-sidelobe and null beam formation is completed.

The invention discloses a hierarchical monitoring system. A power supply is connected to the first power supply port of the first network camera through a power line. The second power supply port andthe third power supply port of the first network camera are respectively connected to the first power supply port of the second network camera and the first power supply port of the third network camera. A monitoring center network switch is connected to the first network interface of the first network camera through a network line. The third network interface and the second network interface of the first network camera are respectively connected to the first network interface of the second network camera and the first network interface of the third network camera. The second network interfaceand / or the third network interface are electrically connected to a network accessory terminal. The monitoring center network switch is separately connected to a manager video monitor and a manager console. The network accessory terminal comprises at least a entrance guard, a microphone, a iris recognition device, a face recognition device, an intrusion alarm system, a network hard disk recorder,a network alarm and a network interphone.

The utility model provides a laser machining device based on an ultrasonic location and a machining method. The laser machining device based on the ultrasonic location comprises a machining platform, a clamping device, a laser head and an ultrasonic range-measurement device, wherein the clamping device arranged above the machining platform comprises a transverse clamping connecting part and a longitudinal clamping connecting part, the transverse clamping connecting part and the longitudinal clamping connecting part are connected with each other in a pivot mode, the laser head is in pivot connection with the transverse clamping connecting part of the clamping device and arranged above the machining platform, and the ultrasonic range-measurement device is in pivot connection with the longitudinal clamping connecting part of the clamping part. The laser machining device based on the ultrasonic location can guarantee laser machining quality, improves machining accuracy, and can fast and conveniently confirm change situations of defocusing amount during machining.

The invention provides a multi-stress accelerated life monitoring and testing system based on automatic photoelectric parameter acquisition and relates to accelerated life testing and monitoring systems for semiconductor lighting products, belonging to the field of electric light source and lighting measurement technologies. The system comprises an accelerated aging device, an automatic illuminance acquisition device and a control device, wherein the accelerated aging device is used for supplying voltage stress and temperature stress to the accelerated aging of a sample and comprises a platform which is used for sample aging, the automatic illuminance acquisition device comprises an illuminance detector which is used for carrying out automatic and online acquisition on the illuminance of the sample, and the control device is used for controlling the aging time and regular automatic acquisition time of the sample. According to the system, a multi-stress accelerated aging system and automatic acquisition test are combined. The system has the advantages that the temperature and voltage stress accelerated aging for the sample is realized, photoelectric parameters are automatically acquired, and the change of the maintenance rate of the photoelectric parameters is monitored; a basis is supplied to the establishment of a life prediction model; and the uncertainty and cumbersome degree of manual measurement for single samples are avoided, and the time for normal life tests is shortened.

The invention discloses a washing machine and a sterilization control method and device thereof. The method comprises the steps that after the washing machine is started, the counting situation of thewashing cycle of the washing machine is obtained, wherein every time a washing program is executed by the washing machine, the one washing cycle is added in the counting; whether or not sterilizationconditions are met is judged according to the counting situation of the washing cycle; if yes, the washing machine is controlled to call a sterilization problem and lock the washing program of the washing machine, and the washing machine is controlled to execute the sterilization program after a sterilization instruction from a user is received. The method has the advantages that whether or not sterilization is needed can be judged according to the counting situation of the washing cycle, when sterilization is needed by the washing machine, sterilization treatment on the washing machine can be conducted by controlling the washing machine to automatically run the sterilization program, manual sterilization performed by the user is not needed, the complexity and blindness of manual sterilization performed by the user is avoided, and the using experience of the washing machine of the user is greatly improved.

The invention discloses an intelligent electric energy meter clock cell fault diagnosis method. The intelligent electric energy meter clock cell fault diagnosis method includes the steps: combining fault mode influence analysis with fault tree analysis, after performing FMEA analysis on the intelligent electric energy meter fault, establishing a fault mode FMEA analytical table, combining with theFMEA analytical table, establishing a complete fault tree model, and performing FTA analysis on the clock cell fault to obtain the result of qualitative and quantitative analysis. The intelligent electric energy meter clock cell fault diagnosis method can quickly find out the fault mode causing occurrence of under-voltage of the cell and the reason for occurrence of the fault so as to greatly reduce blindness and complexity of fault diagnosis and improve the fault diagnosis speed and accuracy, thus being convenient for fault diagnosis management and targeted control during the application process, when the liquid crystal screen of the intelligent electric energy meter displays the content "err-04" or an alarm prompt about under-voltage of the cell.