138results about How to "Adaptive strong" patented technology

The invention relates to an optimized design method for modelling of an end wall of a high load fan/compressor. The method comprises eleven steps. As the stage pneumatic load is improved, internal flow of the fan/compressor is more severe, massive secondary flow is easily generated in an area close to the end wall, and a risk of flow stall exists. The modelling of the end wall has important influence on control over the secondary flow in an end area of the high load compressor, and becomes an important research direction. Firstly, an end wall modelling parameter defining method is researched; secondarily, based on an adaptive genetic algorithm and an artificial neural network response surface model, which are developed by the research group, an orthogonal experimental design, end wall parameter definition and a flow field value simulating technology are combined to realize automatic global optimization of the end wall of the compressor; thirdly, the effectiveness of the optimizing method is verified through different test functions; finally, a blade grid of the compressor is subjected to nonaxisymmetrical optimization based on the method. A result shows that the blade grid after modelling has good pneumatic performance.

The invention discloses a fast intelligent commodity recommendation system. The recommendation system provides personalized services for customers according to own demands of a commodity provider. The recommendation system comprises a merchant demand analysis module and a commodity recommendation module. A merchant demand is expressed in a form of rules; and a customer transaction database stores transaction records of a merchant. The merchant demand analysis module evaluates commodities operated by the merchant according to the merchant demand and the customer transaction database to generate a commodity library to be recommended. The commodity recommendation module generates a recommended commodity list meeting the own requirement of a current customer according to the customer transaction database and the commodity library to be recommended to provide commodity services for the current customer. The commodity recommendation generated by the system is not only customized for the customer, but also is customized for the merchant, can greatly increase the sales and the profits for the merchant, can improve the service speed of the commodity recommendation system to realize real-time service, has high expandability, and can meet the requirements of large merchants.

Disclosed is a blind restoration method for the motion blurred image; the steps are as follows: (1) the image is converted through the cepstrum method to figure out the blur extent and the blur direction of the blurred image; (2) the blur extent and the blur direction of the blurred image figured out in step (1), and the total variation (TV) method are adopted to process the restoration towards the blurred image. The method based on the total variation (TV) includes: the fixed-point iteration used as the outer-loop and the conjugate gradient method used as the inner-loop are adopted for loop iteration to obtain the restored image. The blind restoration method has the advantages of strong self-adaptation, strong anti-noise ability and good robustness; the blind restoration method has validity and practicality according to the processing effects of the simulation picture and the photographed picture.

The invention relates to a construction method of a fuzzy neural network expert system for the water quality assessment in turbot culture, which comprises neural network modeling and network model testing. The method is characterized in that the neural network modeling comprises the following steps of: setting network training parameters, wherein sensitive indexes of the growth of turbots after three-tiered classification, which include four expert data of temperature, salinity, pH and dissolved oxygen, are used as input parameters; determining the network topology: constructing a three-layer neural network by using the input layers of four input nodes, the hidden layers of two hidden nodes and the output layer of one output node; and determining training samples. The network model testing comprises the steps of: leading in tested samples and assessing the network model. The invention combines the neural network, the fuzzy system and the on-line monitoring system for the water quality assessment in industrial turbot culture for the first time, avoids the operations such as manual setting and the like in the traditional assessment method, and overcomes the influence of human factors and the like on the assessment in the traditional turbot water quality assessment.

The invention relates to a video adaptive playing method and device and a storage medium, and belongs to the technical field of Internet. The method includes the following steps: obtaining width and height information of a to-be-played video, adjusting a screen playing proportion according to the width and height information, and performing non-full-screen video playing; and determining a full-screen mode according to the screen playing proportion when receiving an instruction of full-screen video playing, and adaptively performing full-screen display. The device includes a processor and a memory. A computer program is stored on the memory. When the computer program is executed by the processor, the video adaptive playing method is implemented. The computer program is stored on the medium.When the computer program is executed by the processor, the video adaptive playing method is implemented. Compared with the prior art, the video adaptive playing method and device and the storage medium have the advantages of good playing effect, strong adaptability, wide application range and the like.

The invention relates to tendon link under-actuated mechanical finger device which includes the first and second finger sections, under-actuated joint. The under-actuated joint includes joint axis, drive slider, tendon line, and spring piece. The joint axis is set at the first finger section. The second one is set at the joint axis. One end of the tendon line is fixed at the end of the second finger section. Another end is passed through the upper of the first one and connected with its lower. The drive slider is embedded in the first finger section and touched with the tendon line. The spring piece is set between the first and second knuckles. The device can be used as impersonated one finger or parts, or connected in series to form high under-actuated finger. The device has the advantages of simple, reliable structure, little volume, light weight, low control system demand.

The invention provides an embedded-system-based and modularly-designed charging facility data acquisition terminal, which takes combination of various wired communications and wireless communications into consideration, supports a 5.8G wireless ad hoc networking technology with strong penetrating power, is configured with a special security module, supports automatic updating of programs and remote configuration, realizes intellectualization of operation management, and achieves secure data interaction among an electric vehicle, a charging facility and a smart power grid. The data acquisition terminal supports automatic alarm, automatic record generation, accident judgment and handling and the like, further has strong functions of on-line self-diagnosis, self-healing, self-adaption and task timing, and realizes the intellectualization of operation management.

A cascaded under-driven artificial finger of robot for simulating human finger has an active slide block inlaid in the first finger segment, a middle joint with the gear axle between the first and second finger segments and fixed to the second finger segment and the gear engaged with rack bar, the small and big gears on a single axle which along with two gear axles of middle joint are on the first finger segment, a synchronizing belt with lower gear fixed to small gear axle and upper gear fixed to the final joint axle on the second finger segment, and the third finger segment on the final joint axle.

The invention relates the technical field of air-conditioners, in particular to an active protecting control method of a variable frequency air conditioner compressor. Two temperature sensors are installed on a home use variable frequency air conditioner outdoor unit. The method includes the following steps that (1) the variable frequency air conditioner compressor is started, the opening degree of an electronic expansion valve is enabled to be operated preset time by a set original value; (2) BSH values are set according to different operational modes and four intervals are divided according to the different BSH values; (3) the opening degree of the electronic expansion valve is adjusted according to the intervals, wherein the BSH values are located in the intervals, the opening degrees of the electronic expansion valve in each interval can be limited between SFmin and SFmax; (4), when the opening degree value of the electronic expansion valve reaches the smallest opening degree SFmin, but the BUH values can also meet any one of a first interval, a second interval and a third interval in the step (3), and corresponding set is conducted to the frequency of the compressor. The active protecting control method of the variable frequency air conditioner compressor can guarantee reliable rotation of the compressor and prolong service life of the compressor.

The invention discloses a furnace-front quick evaluation method of structure and performance of gray cast iron in the technical field of steel casting and computer signal processing, and is used for solving the problems existing in furnace-front quick comprehensive evaluation research on the structure and performance of gray cast iron in a casting process. The method is mainly characterized by performing furnace-front acquisition on a cooling curve of gray cast iron in a thermal analysis sample cup of which the size is fixed, then, extracting an effective solidification segment of the cooling curve, and characterizing a melt state of cast iron by the integral shape of the effective solidification segment of the cooling curve. The new furnace-front quick evaluation method of structure and performance of gray cast iron, effectively provided by the invention, is high in self-adaptability and can avoid human factors; the method is used for setting up a database and adding new standard samples at any time, is relatively high in flexibility and is in favor of improving the yield of casting pieces.

The present invention provides a method for detecting biochemical oxygen demand. Active sludge, surface water, domestic waste water, or industrial waste water comprising microorganism is taken as a water sample with microorganism in the method provided by the present invention. The water sample with microorganism is cultivated to obtain a microorganism film. The blank water sample and the target water sample are made to pass through the microorganism film respectively. The dissolved oxygen reduction current values of the blank water sample and the target water sample are detected. The difference value between the dissolved oxygen reduction current value of the target water sample and that of the blank water sample is obtained. On the basis of the difference value and the predetermined standard curve, the biochemical oxygen demand of the target water sample is acquired. The method provided by the present invention adopts active sludge, surface water, domestic waste water, or industrial waste water comprising microorganism as the water sample with microorganism. The environmental adaptability of the prepared microorganism film is strong, so that one or more of tap water, well water, atmospheric water, or ground water may serve as medium to maintain the physiological activity with no need of providing a buffer solution system.

The invention relates to a vehicle body paint surface defect detection device and a detection method thereof. The vehicle body paint surface defect detection device comprises a servo controller, an industrial personal computer, a vehicle body conveying mechanism, a plurality of area-array cameras, a plurality of projectors and a plurality of projection screens, wherein the industrial personal computer is connected with the servo controller, and the servo controller is connected with the vehicle body conveying mechanism; the vehicle body conveying mechanism can drive a to-be-detected vehicle to move in the length direction and the height direction under the action of the servo controller and the industrial personal computer, the area-array cameras are distributed around the to-be-detected vehicle, the industrial personal computer is connected with the projector, the projection screen is arranged on the periphery of the projector and corresponds to the projector, The vehicle body paint surface defect detection device is high in acquisition efficiency, high in imaging quality, compact in system structure and low in cost.

The invention discloses a device and method for eliminating local oscillator leakage and relates to the technical field of mobile communication. The device comprises a coupler for carrying out local oscillator leakage signal extraction processing on an up-conversion signal or a down-conversion signal output by a frequency mixer to obtain a local oscillator leakage signal; an amplitude detection and adjustment module used for carrying out amplitude adjustment on the local oscillator signal according to the amplitude of the local oscillator leakage signal to obtain a local oscillator leakage amplitude offset signal equal in amplitude with the local oscillator leakage signal; and a phase detection and adjustment module used for carrying out phase adjustment on the local oscillator leakage amplitude offset signal according to the phase of the local oscillator leakage signal to obtain a local oscillator leakage offset signal equal in amplitude but opposite in phase with the local oscillatorleakage signal.

The invention provides an adaptive PCB plate defect visual positioning detection and classification system. A whole set of processes of PCB detection is covered. The system comprises an offline pre-processing contour point attribute classification stage, online PCB whole plate alignment, defect detection and defect classification. A template matching method is used to align a whole plate, and a speed is fast and precision is high. A contour out-of-tolerance algorithm is used to detect a defect, the precision reaches a sub-pixel level, the speed is fast, and universality is high. Attribute classification is performed on contour points so as to satisfy different tolerances generated because different types of defects match with different detection standards. In the invention, a detection speed and precision of a PCB are increased, detection efficiency is effectively improved, false detection or leak detection conditions of defects are reduced, the automatic detection of PCB surface defects is realized, manpower, material resources and financial resources are reduced, and an production automation degree is increased.

The invention discloses a switched reluctance motor fuzzy adaptive control system and method. The system comprises a fuzzy adaptive fractional PI controller, a PWM module, an asymmetric half-bridge drive circuit, a switched reluctance motor, a position detection module, a current detection module, a torque calculation module and a rotation speed detection module. The method comprises the steps: input parameters are sent to the fuzzy controller for fuzzification and the output dynamic parameters are used as the input of the fractional PI controller, and then the parameters are adjusted and inputted to the controlled object for control; amplitude limiting calculation of the torque error of the switched reluctance motor is performed to obtain the duty cycle of PWM output pulse, the working region of each phase winding is judged according to the rotor position angle, and the switching state of the asymmetric half-bridge drive circuit is determined by the PWM direct torque control algorithm; and the motor operation is controlled by adjusting the voltage of each phase winding. The system and the method are simple and reliable and have high robustness and realizes reasonable adjustment ofthe motor speed and improves the dynamic operation performance of the system.

The invention belongs to the technical field and discloses a method for measuring a refrigeration capacity of an air conditioner based on a BP neural network fitting method. The method comprises the steps that data at an air return hole and an air feeding hole of an indoor unit of the air conditioner is collected and integrated; indexes such as air enthalpy values at the air return hole and the air feeding hole of the indoor unit of the air conditioner are computed; the actual refrigeration capacity of the air conditioner is computed based on an air enthalpy value method; and steps such as detection of the actual refrigeration capacity based on the BP neural network fitting model are carried out. The method disclosed by the invention has the beneficial effects that the refrigeration capacity of the air conditioner can be detected without any dismounting of the air conditioner and without use of an expensive enthalpy difference lab; in addition, in comparison with other modeling algorithms, experimental devices needed are simple, and more accurate and controllable detection results can be obtained; and the method and results are reliable.

The invention provides an online soft measurement method. The method comprises the following steps: acquiring operating data as a sample sequence; building a CM-LSSVM-PLS online soft measurement predicting model to train the model; using a model prediction measured value, and dynamically updating the model if a prediction error does not meet the requirements. According to the online soft measurement method provided by the invention, the measured value can be predicted by a CM-LSSVM-PLS method, the prediction precision can be improved, and the modeling time can be reduced; furthermore, the prediction precision can be further improved by dynamically updating the model; meanwhile, the matrix inverse operation can be carried out by a simple matrix, an algorithm is relatively simple, a result can be quickly calculated, and the model can be ensured to be applicable to online monitoring requirements; in addition, the soft measurement system is driven by real-time data, the model can be continuously updated according to the real-time data, and the online soft measurement method has the advantages of being likely to acquire data, low in extra hardware investment, high in model prediction precision, strong in self-adaption and the like.

The invention discloses a locomotive traction system fault diagnosis device and method. The device comprises a vehicle-mounted part and a ground part; the vehicle-mounted part further comprises an event recording unit and a vehicle-mounted data center unit, and the ground part further comprises a fault diagnosis unit and a ground data center unit. In a locomotive running process, the event recording unit collects data of a network control system and a traction converter in real time and stores the data as an event recording file. When data analysis is needed, the event recording file is transmitted to the ground data center unit through the vehicle-mounted data center unit in a wireless transmission mode, and data analysis is carried out. And the analyzed data is input to the fault diagnosis unit, fault diagnosis is carried out by using an established neural network, and the fault diagnosis unit steadily outputs specific reasons of the locomotive traction system fault. The technical problems that an existing locomotive traction system fault diagnosis device and method need to consume a large amount of manpower and material resources, and meanwhile the result is inaccurate can be solved.