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189results about How to "With self-learning function" patented technology
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Vehicle anti-collision early warning system based on vehicle-mounted sensing network
InactiveCN102390320AReasonable estimateAvoid human interventionSignalling/lighting devicesEarly warning systemProcess module
The invention relates to a vehicle anti-collision early warning system based on a vehicle-mounted sensing network. The vehicle anti-collision early warning system comprises an subject vehicle (SV) information module, a self-learning functional module, an information memory module, a vehicle collision judging module, an anti-collision early warning device module, a DSRC (Dedicated Short Range Communications) vehicle-vehicle communication module and a neighborhood vehicle (NV) anti-collision early warning system, wherein the SV information module consists of an information acquiring and processing module and a module including the ID (Identity) and the size fixed information of a vehicle; the information acquiring and processing module is used for exchanging data with the anti-collision early warning device module through the self-learning functional module and the vehicle collision judging module; the module including the ID (Identity) and size fixed information of the vehicle is used for exchanging data with the anti-collision early warning device module through the information memory module and the vehicle anti-collision judging module; and the information memory module is in DSRC wireless communication with the NV anti-collision early warning system of a surrounding vehicle through the DSRC vehicle-vehicle communication module. By adopting the vehicle anti-collision early warning system, the vehicle running state can be forecast, and the effectiveness and suitability of the anti-collision early warning system are enhanced.
Owner:深圳武汉理工大研究院有限公司
Fire disaster probe system and method
ActiveCN101458865AThe result of fire identification is accurateWith self-learning functionFire alarm smoke/gas actuationFire alarm radiation actuationAlarm messageFire - disasters
The invention discloses a fire disaster detection system and a method thereof. The fire disaster detection system at least comprises two changeable cameras as a first camera of colorful or near infrared mode and a second camera of colorful or white-black mode, for obtaining the video images of detected region; an image collection module connected with two changeable cameras for converting and filtering the video images collected by the two changeable cameras into digital images, to obtain time sequence images; a fire disaster recognition module connected with the image collection module for analyzing the time sequence images, to obtain flame, smoke and fire disaster occurrence probability; and an alarm module connected with the fire disaster recognition module for comparing the flame, smoke and fire disaster occurrence probability with a preset threshold value, and emitting alarm message according to the comparison result. The invention can effectively obtain the fire disaster video images under various backlight conditions, to realize early and reliable fire disaster alarm.
Owner:北京英特威视科技有限公司
Ripple wave anti-clamping controller of car window and control method
InactiveCN102635288AReliable anti-pinch effectWith self-learning functionPower-operated mechanismPower flowElectric machine
The invention provides a ripple wave anti-clamping controller of a car window, which is mounted in an electric hoisting car window circuit of an automobile. The anti-clamping controller utilizes a ripple wave quantity detection circuit to detect the position of a car window; if the position of the car window is in a pre-set anti-clamping range, motor current is sampled through an operational amplifying circuit to obtain a real-time value of the current; a data processing unit compares according to a standard value of a corresponding position which is stored by a storage device; if a difference value is more than an allowable tolerance value, an obstacle is considered to be met, an anti-clamping state is enabled; otherwise, if the position of the car window is not in the regulated anti-clamping range, the anti-clamping state is not enabled. The anti-clamping controller measures the position of the car window based on a current ripple wave and the method does not need a Hall sensor, the cost is lower than that of a scheme needing the Hall sensor and the installation of a motor is simple. The anti-clamping controller disclosed by the invention judges whether a clamping phenomenon happens through a method of measuring an operation current value of the motor of the car window and the anti-clamping effect is reliable.
Owner:陈雅莹
Fire hazard probe system and its fire hazard detection method
ActiveCN101334924AWidely adapt to various usage needsRealize detection and alarmFire alarm smoke/gas actuationFire hazardFire detection
The invention provides a fire detection system and a method thereof. The system comprises a video collection module, a flame judging module that extracts flame characteristic parameters from video images collected and carries out statistical analysis according to the flame characteristic parameters so as to calculate the flame probability of occurrence of a detection area, a smoke judging module used for extracting smoke characteristic parameters and carrying out statistical analysis according to the smoke characteristic parameters so as to calculate the smoke probability of occurrence of a detection area, a fire judging module that carries out fusion calculation according to the flame probability of occurrence and the smoke probability of occurrence so as to determine fire probability of occurrence, a fault judging module used for identifying fault information and an alerting module used for making a comparison between the probability of occurrence of flame, smoke and fire and a preset threshold value and sending out alerting information according to a comparison result. The fire detection system and the method of the invention can simultaneously realize the detection and alerting of flame and smoke, especially has very good identifying capability of the smoke at the initial period of fire and has the function of early alerting.
Owner:丁国锋
Intermediate blank cooling system and cooling control technology
ActiveCN101642780ADoes not change metal propertiesReduce difficultyTemperature control deviceWork treatment devicesProduction lineEngineering
The invention belongs to the metallurgy technical field and in particular relates to an intermediate blank cooling system and cooling control technology. The intermediate blank cooling system is characterized in that an aerial fog cooling device body is arranged between a rough mill and a finishing mill. The aerial fog cooling device body is composed of an upper cooling header and a lower coolingheader, and an aerial fog nozzle and a compression air pipe are arranged on the cooling water pipe of the upper cooling header and the lower cooling header; and the on / off control valve and flow control valve of the cooling water pipe and the compression air pipe are connected with a control valve station. The intermediate blank aerial fog cooling technology is controlled by the aerial fog controltechnology sprayed on the cooling header arranged near roller ways at the front and rear of the mills. The invention has fast cooling speed without changing metal performance, water yield regulatingrange is wide and the water yield can be regulated continuously, the cooling speed of the intermediate blank can be precisely controlled, and the invention can be widely applicable to middle and thickplate production line.
Owner:CISDI ENG CO LTD
Intelligent analyzing and differentiating method of herbalist doctor through integrated references form four parts of diagnosis
InactiveCN1759804AImprove predictive performanceWith self-learning functionDiagnostic recording/measuringSensorsBayesian networkTraditional Chinese medicine
An intelligent dialectics based on the probabilistic reasoning model of Bayes network and computing technology for traditional Chinese medicine to diagnose diseases is disclosed. The signal processing technique and image recognizing technique are used to automatically recognize the pulse condition and the tongue picture, analyze them and provide the result. In its interrogation interface, after the disease signs of a patient are input, the dialectic result can be output. It has also self-learning, storage and print function.
Owner:ZHEJIANG UNIV
Intelligent automatic spraying unit based on digital bus and usage method thereof
ActiveCN104841592AHigh recovery rateReduce wasteLiquid surface applicatorsSpray nozzlesPositive pressureSolenoid valve
The invention discloses an intelligent automatic spraying unit based on a digital bus and a usage method thereof. The intelligent automatic spraying unit comprises a mechanical arm (1), a spraying device (2), a control valve bank (3) and an electric control device (4). The spraying device comprises a body (21) and a spraying head (23). The interior of the body is at least provided with two inner channels (211). Outer channels (212) which are identical to the inner channels in number and are communicated with the inner channels respectively are arranged outside the body. The body is further provided with a pattern recognition sensor, a position sensor and a range sensor. Spraying orifices (231) communicated with the inner channels are formed in the positions, corresponding to the inner channels, of the interior of the spraying head. The control valve bank comprises a positive-pressure control solenoid valve, a paint control solenoid valve and a negative-pressure control solenoid valve which are connected with the inner channels and the outer channels through pipelines. The electric control device comprises a pattern recognition circuit, a spraying parameter analyzing and planning circuit and the like. The spraying unit can enhance the recovery rate of paint waste gas and achieve intelligent spraying, thereby being suitable for digital bus factories.
Owner:XUZHOU DKEC ELECTRICAL TECH
Prisoner psychological health state assessment method and system based on multi-modal information
ActiveCN110507335AAvoid interferenceRapid assessmentSensorsPsychotechnic devicesMental healthNetwork model
The invention discloses a prisoner psychological health state assessment method and a system based on multi-modal information. The method comprises the following steps: obtaining physiological signals, facial expression images and voice signals of reformed prisoners and prisoners to be tested after they experience virtual reality scenes, and extracting physiological signal features, facial expression image features and voice signal features from the obtained signals; inputting the physiological signal features, facial expression image features and voice signal features of the reformed prisonerinto a pre-trained neural network model, and outputting a psychological state assessment vector of the reformed prisoners; inputting the physiological signal features, the facial expression featuresand the voice signal features of the prisoners to be tested into a pre-trained neural network model, and outputting a psychological state assessment vector of the prisoners to be tested; calculating the psychological state assessment vector distance between the prisoners to be tested and the reformed prisoners; and assessing the mental health state of the prisoners according to the distance.
Owner:SHANDONG UNIV +1
Intelligent shutter control system and method
InactiveCN103774973AAutomatically adjust the angleImprove comfortLight protection screensProportion integration differentiationRemote control
The invention relates to an intelligent shutter control system and an intelligent shutter control method which have the advantages that the wiring operation is avoided, the intelligent level is high, the efficiency is high and the energy is saved. The intelligent shutter control system comprises a remote control terminal and a coordinator unit, wherein the remote control terminal communicates with the coordinator unit through a wireless and Ethernet communication method to complete the setting of system parameters and the enquiry of information; the coordinator unit remotely communicates with the remote control terminal, establishes ZigBee communication with a driver unit and a sensor unit, and is used for receiving daylighting information and user commands and feeding back the field information to the remote control terminal. The system has a PID (Proportion Integration Differentiation) control function which adopts fuzzy control, and the illumination intensity can be self-tuned according to recorded user setting favorites.
Owner:SHANDONG UNIV
Spinning process intelligent optimized design method based on immune neural network
InactiveCN101782771AAvoid lengthy calculationsFast operationGenetic modelsNeural architecturesData synchronizationProduction line
The invention relates to a spinning process intelligent optimized design method based on an immune neural network. Production data are processed and analyzed by utilizing an immune optimized neural network establishing model to obtain a reasonable configuration scheme of a spinning production line parameter; then, the model and the scheme are integrated in an expert system and carry out online connection with the production line to synchronously modify the immune neural network model and the expert system according to real-time production data; the uniform configuration is carried out on all parameters on the spinning production line, and the production process is effectively optimized in time according to the running condition of the production line. A result set is analyzed and evaluated by adopting the spinning process expert system and used for guiding production, and a knowledge library and a rule set of the expert system can be continuously added and improved so that the system has a self-learning function.
Owner:DONGHUA UNIV
Concrete mixing ratio design method based on artificial intelligence
InactiveCN101609515AStrong fault tolerance and robustnessReduce the number of trialsMouldsGenetic modelsDesign technologyGenetic algorithm
Owner:福建省融旗建设工程有限公司 +1
Pure electric vehicle cooling system control method based on deep reinforcement learning
ActiveCN109193075AStable speedAvoid frequent start and stopSecondary cellsPower batteryPid control algorithm
The invention relates to a pure electric vehicle cooling system control method based on deep reinforcement learning, which comprises the following steps: first, obtaining the temperature of the powerbattery of the pure electric vehicle, the working current of the power battery, and the ambient temperature information; Construct DDPG algorithm model, carry on reinforcement learning training, get agroup of optimal PID control parameters of electronic pump. The PID control quantity is obtained by the PID input quantity, and the electronic pump is controlled based on the PID control quantity. The work of the electronic pump changes the flow rate of coolant in the power battery cooling system to achieve the purpose of cooling the power battery. At the same time, the information of the power battery is transmitted to the environment sensing module, and the first step is returned to circulate the whole process. The invention introduces the depth reinforcement learning into the PID control algorithm, the depth reinforcement learning can better interact with the environment, has the self-learning function, adapts to the dynamic characteristics of the uncertain system, and therefore can adapt to the complex and changeable characteristics of the pure electric vehicle running environment, and realizes on-line control under different actual scenes.
Owner:HEFEI UNIV OF TECH
Ontology-based anti-money laundering early-warning method
InactiveCN101706930AResolve sharingWith self-learning functionFinanceInference methodsData miningComputer science
The invention relates to an ontology-based anti-money laundering early-warning method, comprising the following steps: (1) building an anti-money laundering ontology composed of a client information ontology, a financial institution information ontology and a transaction information ontology, and linking the client information ontology, the financial institution information ontology and the transaction information ontology into the anti-money laundering ontology by constraint conditions; (2) building databases including a transaction flow database, a CBR case database, a law and regulation rule database and an auxiliary database; and (3) retrieving the ontology, discriminating the large-sum transactions and the suspicious transactions through operation, classifying the levels of risk by CBR and generating the report files. The method has the beneficial effect of providing convenience for anti-money laundering work, thus not only increasing the correct rate of anti-money laundering work but also greatly improving the working efficiency of the financial institutions.
Owner:HANGZHOU SUNYARD TECH +1
PID locomotive automatic driving optimal control method based on reinforcement learning
ActiveCN107943022AImprove optimization effectReduce the difficulty of manual designPosition/course control in two dimensionsVehiclesControl parametersOptimal control
The invention provides a PID locomotive automatic driving optimal control method based on reinforcement learning. The PID locomotive automatic driving optimal control method comprises the steps of: regarding current route information and a speed difference between a locomotive actual running speed and an optimal speed as input of reinforcement PID at first, acquiring a group of optimal PID controlparameters through reinforcement learning, realizing PID control according to the optimal PID control parameters provided by a reinforcement learning module, providing a control quantity, and controlling operation of a locomotive. The PID locomotive automatic driving optimal control method applies reinforcement learning to PID parameter adjustment, can interact with the environment by means of reinforcement learning, has the self-learning capability, can realize the PID control having the optimal parameter group, improves the optimization effect, and reduces manual design difficulty.
Owner:TSINGHUA UNIV
Hong Kong dollar texture image version classifying method based on gray-level co-occurrence matrix
InactiveCN104715240AImprove recognition accuracyAdaptableCharacter and pattern recognitionPattern recognitionCo-occurrence matrix
The invention provides a method which can intelligently recognize Hong Kong dollar and quickly recognize Hong Kong dollar versions and relates to a Hong Kong dollar texture image version classifying method based on a gray-level co-occurrence matrix. A sample base is formed by extracting all versions of sample Hong Kong dollars, gray-level co-occurrence matrix characteristics of sample Hong Kong dollar images are extracted, sample is trained by a BP neural network, a Hong Kong dollar version classifying model is obtained, parameters are transplanted into a currency counting and detecting machine, a bill sorting machine and a money depositing and withdrawing machine, texture characteristics parameters, obtained through the gray-level co-occurrence matrix, of paper money to be recognized are inputted into a multispectral currency counting machine, the bill sorting machine and the money depositing and withdrawing machine, proof coin types can be calculated out according to a Hong Kong dollar version classifying model, and namely Hong Kong dollar versions can be judged.
Owner:HUAZHONG UNIV OF SCI & TECH
Intelligent automatic grinding and polishing unit based on digital bus and usage method thereof
ActiveCN104842238AImprove grinding and polishing efficiencyReduce air pollutionGrinding machinesGrinding/polishing safety devicesProduct gasDistance sensors
The invention discloses an intelligent automatic grinding and polishing unit based on a digital bus and a usage method thereof. The intelligent automatic grinding and polishing unit comprises a grinding and polishing device (2), a control valve bank (3) and the like. A body (21) of the grinding and polishing device is at least provided with two inner channels (211) and outer channels (212) which are identical to the inner channels in number and are communicated with the inner channels respectively. The body is further provided with a pattern recognition sensor, a position sensor and a range sensor. A working device (23) is internally provided with spraying orifices (231) communicated with the inner channels. The intelligent automatic grinding and polishing unit further comprises a grinding head drive mechanism (232) and a grinding head (234). The control valve bank comprises a positive-pressure gas control solenoid valve, a negative-pressure gas control solenoid valve and a brightener control solenoid valve which are connected with the inner channels and the outer channels. The intelligent automatic grinding and polishing unit can decrease the air pollution degree of a working site, lower the probability of secondary pollution and achieve intelligent grinding and polishing, thereby being suitable for grinding and polishing procedures in digital bus factories.
Owner:XUZHOU DKEC ELECTRICAL TECH
Method for controlling model building in leaf moisture-regaining process of tobacco shred production
InactiveCN101502337AAdd upper layer intelligent controlHigh control precisionTobacco preparationTotal factory controlProduction lineNegative feedback
The invention discloses a modeling control method during tobacco leaves lamping processing in tobacco shred production, which solves the problem that the product quality problem is influenced because the tobacco leaves lamping fluctuation is big in tobacco shred production and the modeling control method has advantages of automatic studying capability, increased control accuracy and increased product quality. A detection device is set on a production line and the detected process index is sent to a PLC controller and the PLC controller divides the process index into two paths, wherein one path is sent to a monitor to analyze the detected process index and the data, which is up to the mustard, is sent to a server to form an experience database and the data is sent to the monitor and the PLC controller by the database and the data, which is not up to the mustard, sends alarm signal; another path of the process index data is subjected to negative feedback PIC operation by the PLC and then integrated with the experience data to form a control command to control the operation of the damping device.
Owner:孟科峰
Energy-saving control method and system for air-source heat pump system
InactiveCN108800431AOvercome control and regulation difficultiesWith self-learning functionMechanical apparatusSpace heating and ventilation safety systemsTime delaysProcess engineering
The invention provides an energy-saving control method and system for an air-source heat pump system. The method comprises the following steps that S1, a building standard cooling and heating load prediction model is constructed; S2, building refinement partitioning is conducted according to the building standard cooling and heating load prediction model, a cooling and heating energy-using demanddynamic curve of all subzones of a building is generated, and the dynamic curve is updated once at intervals; and S3, an air-source heat pump unit and an indoor tail end thereof, a freezing water pump, a valve unit, a fan and a heat pump host respond to an instruction sent by a central host in time, and according to the energy-using demand dynamic curve and combination of a time delay caused by the adjustable segment length and fluid velocity, operation stages of the air-source heat pump system is divided into an equipment starting stage, a steady state operation stage and an equipment shutdown stage for staging control. The invention further comprises the energy-saving control system of the air-source heat pump system. The energy-saving control system has the advantages of being efficient, stable, free of pollution, low in energy consumption, significant in energy-saving effect and the like, and therefore the total energy efficiency of the system can be improved by 5% to 25% on the basis of the original system efficiency.
Owner:湖南湖大瑞格能源科技有限公司
PCA-BP-based emotion recognition method and system
InactiveCN108053840AImprove accuracyImprove recognition efficiencySpeech analysisCharacter and pattern recognitionFeature vectorDimensionality reduction
The embodiment of the invention discloses a PCA-BP-based emotion recognition method and system. The method comprises the steps that a first emotional sound spectrum feature vector of training audio isobtained by blending a first acoustic feature vector and a first sample entropy feature of the training audio; a PCA algorithm is adopted for conducting dimensionality reduction on the emotional sound spectrum feature vector, and a second emotional sound spectrum feature vector is obtained; the second emotional sound spectrum feature vectors of the training audio corresponding to various emotionsare input into a preset BP neural network model separately for training, and sound spectrum feature vector emotion models corresponding to various emotions are obtained; a second acoustic feature vector and a second sample entropy feature of to-be-detected audio are blended to obtain a third emotional sound spectrum feature vector of the to-be-detected audio, the third emotional sound spectrum feature vector is compared with all the acoustic feature vector emotion models, the emotion model matching degree is calculated, and the acoustic feature vector emotion model corresponding to the maximum emotion model matching degree is output. The technical problems that the current voice emotion recognition process is complex, the implement difficulty is high, the accuracy is low, and the efficiency is low are solved.
Owner:SPEAKIN TECH CO LTD
Platformized vehicle body control framework system
The invention discloses a platformized vehicle body control framework system which comprises adjustment of a vehicle body framework, construction of a vehicle body control platform and construction ofa vehicle body bus communication platform. The adjusted vehicle body framework comprises a vehicle body control box, a wireless receiving module, a ripple window anti-pinching module and an engine antitheft system module. A vehicle body CAN bus, a power CAN bus, an entertainment CAN bus, a new energy CAN bus and a chassis CAN bus interactively construct the vehicle body bus communication platformthrough an independent gateway. A keyless entry system, the wireless receiving module and the ripple window anti-pinching module of the vehicle body framework are all connected with the vehicle bodycontrol box through the vehicle body CAN bus. All control functional modules, such as vehicle backing radar, a rainfall sensor, front parking radar, atmosphere lamps, running water steering lamps andthe engine antitheft system module of a vehicle body jointly construct the vehicle body control platform. The vehicle backing radar, the rainfall sensor, the front parking radar, the atmosphere lamps,the running water steering lamps and the engine antitheft system module are connected with the vehicle body control box through an LAN bus.
Owner:JIANGLING MOTORS
Support vector machine and multi-body dynamics simulation-based high-voltage circuit breaker identification method
ActiveCN106934157AWith self-learning functionAccurate identificationCharacter and pattern recognitionDesign optimisation/simulationThree dimensional modelMorphological filtering
The invention discloses a support vector machine and multi-body dynamics simulation-based high-voltage circuit breaker identification method. The method comprises the steps of building a three-dimensional model of a high-voltage circuit breaker, and calibrating and verifying the three-dimensional model; by changing size, material and property parameters of the three-dimensional model, performing analogue simulation on various faults of the high-voltage circuit breaker to obtain various corresponding mechanical property waveforms; performing waveform interception, mathematic morphological filtering and characteristic extraction processing on the mechanical property waveforms corresponding to the various faults to obtain an eigenvector sample set; based on a support vector machine and a one-to-many classification method thereof, training a classifier, and calculating the credibility of each classification; and inputting actually measured unknown fault eigenvectors to the training support vector machine, performing fault type identification to realize mechanical fault classification of the high-voltage circuit breaker, and finishing self-learning. According to the method, a large amount of physical simulation experiments do not need to be carried out; the faults of the high-voltage circuit breaker can be accurately identified; and the method has a self-learning function and a wide application prospect.
Owner:JIANGSU ELECTRIC POWER RES INST +3
Transmission grid fault detection system and method based on internet of thing technology
InactiveCN103376387AMonitor voltage in real timeReal-time monitoring of current changesFault locationInformation technology support systemGrid faultThree-phase
The invention relates to a transmission grid fault detection system and method based on an internet of thing technology. The method is characterized by: monitoring online and in real time whether changes of the voltage and current of a high-voltage transmission line three-phase fixed point are balanced by utilizing a three-phase zero sequence voltage and a current balance measurement method; and judging whether the fixed point of a high-voltage overhead line is abnormal based on the change features of the voltage and the current under various conditions. The system comprises grounding, open circuit and short circuit fault diagnoses. The system and method of the invention enable fault monitoring level to be improved, wherein the short circuit fault alarm accuracy can reach more than 98.5%, and the grounding fault alarm accuracy can reach more than 97%. A detection device possesses a self-learning function, namely, a plurality of threshold values do not need to be set according to the transmission lines with different loads, so that the workload before putting the detection device into use is reduced, the universality is improved, the power cut range is reduced, the power cut time is shortened, and the power supply reliability is improved substantially.
Owner:CHANGSHU DYNASTY INFORMATION TECH
Fault diagnosis method based on electronic equipment testability model
ActiveCN106650942AImprove diagnostic efficiencyReduce diagnostic stepsInference methodsDiagnosis methodsTroubleshooting
The invention relates to a fault diagnosis method based on an electronic equipment testability model, which is applicable to field fault diagnosis of all electronic equipment and belongs to the technical field of measurement and control. The main technical points of the method are as follows: the corresponding relationship of equipment fault mode, signal and test is established based on an electronic equipment testability model; a computer analyses out the test logic contained in the testability model according to the corresponding relationship; automatic reasoning is carried out and corresponding test is performed on a diagnosis node according to the fault phenomenon; and before next test diagnosis, the test process is optimized according to the current test result to realize dynamic fault diagnosis logic. The technical effect is that problems such as difficult and high-cost manual troubleshooting and poor flexibility, versatility and expansibility of binary tree-based troubleshooting are overcome fundamentally, and automatic and intelligent field fault diagnosis of electronic equipment can be realized.
Owner:CSSC SYST ENG RES INST +1
Method for diagnosing accidents of waveshape recognition based substation locomotive traction circuit
InactiveCN1908987AGuaranteed speedIntegrity guaranteedRegistering/indicating working of vehiclesElectronic circuit testingPattern recognitionNormal load
The related traction circuit fault diagnosis system based on waveform recognition for underground locomotive comprises: a target circuit slot, a semi-physical analog simulation normal load, a data collector, an ADC, a data buffer, a CPU, a target fault database, a record label buffer, an algorithm software package based on waveform recognition to diagnose and position the fault, and a display. This invention can position fault accurately.
Owner:上海地铁运营有限公司
Weight learning based stack shape planning method
ActiveCN108776879AEasy to useParameters are clear and easy to understandResourcesLogisticsPlanning approachLearning based
The invention discloses a weight learning based stack shape planning method. The concrete steps include: step 1, calculating stacking priority [Ri] for all to-be-stacked cargo tanks, wherein Ri=PvVi+PsSi+PwWi; step 2, ranking Ri in sequence from large to small; step 3, taking the current [Ri]max cargo container and trying to stack it on L1 to Lk in sequence until a stackable stack shape layer Lm is found; step 4, update the current stack shape state; step 5, removing the cargo containers counted to the stack shape from Ri; step 6, checking whether residual cargo containers exist or not, if residual cargo containers exist, repeating steps from step 3 to step 5; step 6, implementing stack shape planning. The method is simple in use and parameters are clear and easy to understand. Automatic stack shape planning can be implemented in a comparatively short period and dynamic planning can even be made for each stack order; high efficiency is achieved. The method provided by the invention isfully automatic and no manual intervention is required. The method provided by the invention has a self learning function and the quality of planned stack shapes is improved continuously towards the optimum.
Owner:江苏楚门机器人科技有限公司
Automatic button sorting method and device
InactiveCN106984559ARealize automatic turning functionRealize double-sided automatic detectionCounting objects on conveyorsOptically investigating flaws/contaminationEngineeringAbnormal shaped
Owner:WENZHOU ADVANCED MFG TECH INST OF HUAZHONG UNIV OF SCI & TECH +1
Gear shifting manipulator of automobile synchronizer testbed and control device of gear shifting manipulator
InactiveCN104792521AIncrease elasticityImprove buffering effectVehicle testingMachine gearing/transmission testingLiquid-crystal displayEngineering
The invention discloses a gear shifting manipulator of an automobile synchronizer testbed and a control device of the gear shifting manipulator. The gear shifting manipulator comprises a mounting bottom plate and a four-bar mechanism which is formed by hinge joint of a gear selecting shaft, a gear shifting rocker arm, a middle connecting bar and a gear shifting support bar, the gear selecting shaft is rotatably mounted on the mounting plate, an output shaft of a gear selecting motor is in transmission connection with the gear selecting shaft, a gear shifting air cylinder is hinged between the gear selecting shaft and the gear shifting rocker arm, a gear shifting connection bar is hinged to the upper end of the gear shifting support bar, and a tensile pressure sensor and angle sensors are arranged on the four-bar mechanism respectively. The control device comprises an MCU (micro control unit) and a human-computer interface LCD (liquid crystal display). The gear shifting manipulator is electrically connected with the MCU via the tensile pressure sensor and the angle sensors. The MCU is electrically connected with a gear shafting electromagnetic valve of the gear shifting air cylinder and the gear shifting motor. The human-computer interface LCD is in communication connection with the MCU. The gear shifting manipulator of the automobile synchronizer testbed and the control device of the gear shifting manipulator have the advantages of simplicity in operation, high positioning precision, precise controllability, stability in operation and capability of simulating a gear shifting effect of a human hand better.
Owner:JILIN UNIV
Electronic watch automatic assembling mechanism
ActiveCN107203123AImprove assembly efficiencyIncrease productionAssembly machinesRepair toolsEngineeringElectrical and Electronics engineering
Owner:YIWU CITY ZHUOYUE ELECTRONICS
Atmospheric pressure altimeter for measuring using multilayer perception machine nerval net and the measurement method
InactiveCN101266145AOvercoming time driftOvercome temperature driftFluid pressure measurement by electric/magnetic elementsHeight/levelling measurementCommunication interfacePneumatic pressure
The invention discloses an atmospheric pressure altimeter for measurement by use of a multilayer perception neural network, which includes static press and a temperature measurement unit, the static press and the temperature measurement unit is orderly connected to an A / D transverter unit, a center process unit, a communication interface unit, which are respectively connected to a power module, the static press and the temperature measurement unit include a static sensor and a temperature sensor, the center process includes microprocessor and data process unit of the multilayer perception neural network. The benefit effect of the invention is that time shift and a temperature time are avoided, learning function is provided and automatically learned through the neural network, difference of real-time precision is under 0.5%, volume is small, weight is light, and reliability is high.
Owner:XIAN UNIV OF TECH
Resource reservation method and apparatus based on traffic
InactiveCN101360319AReduce call drop rateImprove system throughputRadio/inductive link selection arrangementsComputer scienceBuilding construction
The invention discloses a resource reserving method based on service volume, which includes following steps: establishes at least one set according to the prior D day`s service volume before the nth time span of the (D+1)th day to be forecasted and the prior (n-1)th time span`s service volume of the (D+1)th day; and then divides all the service volume in each set into at least one category; then forecasts the resource needed in the nth time span of the (D+1)th day to be forecasted according to the category; and finally, reserves the resource according to the forecasted result. The invention also discloses a resource reserving device based on service volume, which includes a construction module, a classification module and a forecast module. Through the method and the device, the invention can realize reasonable resource reservation, therefore can reduce the session switch dropping rate and farthest improve the throughput of the system.
Owner:TD TECH COMM TECH LTD
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