168results about How to "Overcome uncertainty" patented technology

The method comprises: using a sensor to collect the characteristic signals; the collected signals about each kind of running state are sent to the data processing module; after processed, the signals are sent to the computer system; said computer system comprises a device database, a symptom event database, a diagnosis knowledge database; a device database and signal analysis module, a symptom acquiring module, a diagnostic reasoning module, and a diagnosis explaining module; the software of the data processing module makes data exchange; the symptom event database exchanges data with the diagnostic module, data processing module; the diagnostic knowledge exchanges the data with the failure processing module, knowledge acquiring module and data processing module.

A wood-type golf club head with an adjustable keel zone member is disclosed herein. The golf club head includes a body and an adjustable keel zone member. The body has a front portion, a crown portion and a sole portion. The body also having a heel end, a toe end and an aft end. The sole portion has only a single keel point. The adjustable keel zone member is disposed within a keel zone of the sole and located preferentially with respect to the center of gravity. The keel zone member is capable of adjusting the face angle of the wood-type golf club head.

The invention discloses a target identification method based on the data fusion of an airborne radar and an infrared imaging sensor, comprising the following steps: firstly, identifying a target and generating a corresponding elementary probability partition function M1 by the infrared imaging sensor; then identifying the target and generating a corresponding elementary probability partition function M2 by the airborne radar; fusing the identification results of the airborne radar and the infrared imaging sensor by a D-S evidence theory; finally, identifying the target, and making decisions. In the invention, the airborne radar adopts the target identification method based on fuzzy reasoning to identify the target, thereby overcoming the defect of the high nondeterminacy of data measured by a radar sensor and finally realizing the data fusion of the airborne radar and the infrared imaging sensor. A simulation result shows that the identification effect of an intelligent target algorithm based on the airborne radar and the infrared imaging sensor is much better than that of single radar or single infrared sensor.

The invention discloses a built-in intelligent failure diagnosis device based on data fusion mode recognition in the technical field of intelligent diagnosis of rail transport failure, which comprises a hardware structure and a software structure. The diagnosis device adopts high-speed DPS microprocessor and forms a distributive monitor processing system, that is, a two-level microcomputer structure with a supervisory machine and a subordinate machine with the help of a multiple-stage buffer and streamline mechanism in the high-speed data processing of the former. Besides, in coordination with sensor group information based on data fusion mode recognition and with the help of multiple neural network partial diagnosis and a decision-making level fusion mode recognition and intelligent diagnosis mechanism, the invention is able to realize the data storage, image display and long-distance data transmission, so as to complete the task of failure diagnosis. Therefore, the invention is able to detect the potential failure of key equipments for train, ensure the safety and reliability for the operation of key equipment in train and improve the operation efficiency and safety guarantee to the maximal extent.

The method discloses a method for sorting signals of a radar radiation source by using coverage in a complex dense environment and relates to a radar radiation source signal sorting method by using coverage, aiming at solving the problem of poor sorting ability of the prior art in the complex dense environment as well as in a serious overlapping condition of characteristic parameters. The method comprises the following steps of: choosing the characteristic parameters of a radar signal capable of being standardized as input characteristic vectors, initializing a radar signal sample parameter space; carrying out supervisory learning on the radar signal with parameter prior information in the radar signal sample parameter space by using a coverage algorithm; separating the radar signals of different kinds by using different fields by using the coverage algorithm; expressing the membership degree of the characteristic parameters of each radar signal to be sorted and identified in relative with each field by using a cloud model, and obtaining the membership value of the membership degree of the radar signal to be sorted and identified in relative with each field; and sorting the signal to be detected by using decision rules. The method for sorting signals of the radar radiation source by using coverage in the complex dense environment is suitable for sorting radar radiation source signals.

The invention discloses a short circuit fault self-detection method in a single battery. The method comprises the following steps of: S1, building a first-order equivalent circuit model of the battery, determining a function relation between a state of charge (SOC) and an open-circuit voltage (OCV), and recognizing model parameters, S2, measuring load current and terminal voltage of the battery inreal time, S3, calculating ampere-hour increments at adjacent moments, estimating the SOC of the battery online by adopting a closed-loop state observer, and calculating an internal short circuit current according to the obtained ampere-hour increments and an SOC change value, S4, filtering the estimated internal short circuit current, and identifying the internal short circuit resistance of thebattery online by adopting a recursive least square method with an adaptive forgetting factor according to the filtered internal short circuit current and load voltage. According to a preset internalshort circuit resistance threshold, the internal short circuit state of the battery is compare3d and judged. Online identification of the short circuit resistance in the single battery can be realizedonly by measuring the terminal voltage and the load current of the single battery, and other single battery information in the battery pack is not needed.

Systems and methods are disclosed for highly accurate calibration of microwave radiometry devices by defeating reflections from a cryogenic blackbody calibration target and, further, defeating a standing wave established between reflecting features at the device and at the blackbody calibration target. The preferred disclosed system includes adaptations for effective Brewster angle presentation of radiation emanating from the target to the radiometry device. Other embodiments are taught for substantially eliminating or randomizing the standing wave in both wavelength dependent and independent applications.

The invention discloses a time-variant underwater acoustic channel capacity simulation model. The time variant underwater acoustic channel capacity simulation model comprises a storage module for storing various parameters, a reading module for reading the various parameters stored in the storage module, a large-scale module for obtaining random channel parameters subjected to large-scale transformation through first-order AR transformation, a multipath channel processing module for obtaining path information of multiple paths of the random channel parameters based on a ray tracing model, a screening module for screening out three to ten important paths, a small-scale module for calculating small-scale attenuation coefficients of multiple micro-paths according to small-scale parameters, a Doppler module for processing Doppler parameters to calculate an effective Doppler matrix, a channel transmission function generating module for obtaining a total channel transmission matrix of a multipath time delay acoustic channel according to comprehensively-obtained various parameter, and a channel capacity processing module for conducting processing transformation on channel transmission functions in the total transmission matrix and obtaining pulse response, channel gain and channel capacity of the acoustic channel through calculation.

The efficient biochemical fulvic acid preparing process is to utilize, enrich and culture humic acid producing bacteria and auxiliary bacteria existing in nature to form specific fulvic acid producing bacteria. The fermented material includes crop stalks, saw dust and other agricultural and forest waste and some inorganic nutrient components as well as fulvic acid producing bacteria, and through controlling nutrients compounding ratio, water content, temperature, humidity and other technological parameters, fulvic acid is produced through directional fermentation. The present invention has the advantages of short fermentation period, low cost, high fulvic acid content, high product quality and easy control of the production process. The fermented product contains great amount of fulvic acid, amino acid, nucleic acid and other matters, and may be used widely in plantation, stockbreeding, aquiculture, industrial fermentation, medicine, pesticide and other industry.

A golf club having a golf club head 20 with a keel zone that makes the actual face angle of the golf club appear differently when the golf club is at address. The golf club head 20 has a keel zone that is preferably 0.5 inch wide in the fore-aft direction and 1.0 inch wide in the heel-toe direction, which changes the appearance of the face angle while the golf club is at address.

The invention discloses an image multi-target joint segmentation method based on multi-tag multi-sample learning, comprising the following steps: first, performing object detection on an input image set to get a candidate object set, and performing segmented object clustering on the candidate object set to get accurate object tags; the, performing salience detection and binary segmentation on the input image set to get a salient region, transferring the object tags in the candidate object set to the salient region, and performing super pixel segmentation on the salient region to get a salient region containing tags; and finally, using an integrated multi-sample multi-tag learning method based on feature random selection to get the object tag of each super pixel in the salient region, thus completing joint segmentation of the input image set.

The invention disloses a steaming device for textile printing and dyeing and a steaming method thereof. The steaming device comprises a steaming box, a padder, a cloth guide roll, a cloth winding roll and a motor, wherein the motor controls the cloth winding roll by a transmission mechanism; the steaming box is provided with a cloth inlet and a cloth outlet; the box wall of the steaming box is provided with a hot air inlet and a steam inlet; the hot air inlet is communicated with a hot air pipeline connected with a hot air source; and the steam inlet is communicated with a steam pipe connected with a steam source. The steaming method of the device comprises the following steps of: mixing dry-hot air and saturated steam entering the steam inlet, using the generated high-temperature steam to carry out steaming on textile, and controlling the temperature and the humidity in the steaming box. By adopting the structure and the method, the steaming device and the steaming method have the following advantages that: 1) the extensive-form operating situation of the traditional steaming machine is changed, and online detection and intelligent control of parameters of a steaming process are realized; and 2) decoupling control is adopted for respectively compensating a temperature control loop and a humidity control loop, and automatic control can be carried out on two strong-coupling parameters such as temperature and humidity simultaneously.

The present invention discloses a cell culture realtime observation system comprising a plate, a culture well, an image capture device, at least one container, an evaporation device, a first micro channel, a second micro channel and a transmission unit. The culture well is disposed on the plate, and the image capture device is disposed between the plate and the culture well. The container is disposed on the plate and at a side of the culture well, and the evaporation device is disposed at the other side of the culture well. The container and the culture well are connected by the first micro channel, and the culture well and the evaporation device are connected by the second micro channel. The transmission unit is electrically connected to the image capture device.

The invention provides a discrimination method for caramel sweet taste characteristics of a tobacco leaf based on flavor components. The discrimination method is characterized by comprising the following steps: (1) establishment of a sample database of tobacco leaves with caramel sweet taste characteristics; (2) artificial discrimination of the caramel sweet taste characteristics; (3) establishment of a flavor component database of the tobacco leaves with the caramel sweet taste characteristics; (4) screening of flavor component characterization indexes of the tobacco leaves with the caramel sweet taste characteristics; (5) establishment of a model for discrimination of the caramel sweet taste characteristics by using the flavor components of the tobacco leaves; (6) testing of the model; (7) determination of flavor components of an unknown sample; and (8) discrimination of caramel sweet taste characteristics of the unknown sample. The invention has the following advantages: the model for discrimination of caramel sweet taste characteristics based on flavor components is established, the problems of subjectivity and nondeterminacy of determination which is carried out mainly through subjective recognition of a smoke panel in the prior art are overcome, and scientificalness, objectivity and accuracy of determination of taste characteristics are improved.

The invention discloses a D-S evidence theory-based textile process data fusion system. The system comprises sensor modules used for acquiring workshop data, local decision-making modules and a D-S synthesis module, wherein the sensor modules and the local decision-making modules are connected in a one-to-one correspondence manner; the local decision-making modules are connected with the D-S synthesis module; each local decision-making module adopts an adaptive weighted data fusion algorithm; and the D-S synthesis module adopts a D-S evidence theory. According to the system, two stages of sensors are adopted for information fusion; the first stage of the sensors are used for local fusion, a classic adaptive weighted fusion estimation algorithm is adopted, and the uncertainty and limitation of a single sensor are overcome, so that consistent explaination and description of a tested object are obtained; the second stage of the sensors are used for global fusion, and a D-S evidence theory is adopted; and the D-S evidence theory allows people to perform modeling on uncertain problems and perform reasoning, so that the uncertainty of things can be reflected more objectively.

The invention discloses an erosion prevention suction bucket foundation and a layered soil layer grouting reinforcement method thereof. The suction bucket foundation comprises a connecting rod and a barrel body, wherein the periphery of the barrel body is uniformly provided with a plurality of stiffened rib pipes each of which is provided with a plurality of grouting holes; a grouting pipe penetrates through each stiffened rib pipe; and a high-pressure sprayer is arranged on the bottom end of each grouting pipe. The method comprises the following operation steps: step (1): placing the suctionbucket foundation; step (2): grouting; step (3): performing high classification; and step (4): lifting a moving piston step by step. The erosion prevention suction bucket foundation and the layered soil layer grouting reinforcement method thereof can not only realize active erosion protection, but also strengthen the soil in the buried depth range of the whole bucket in a layered manner accurately, and increase the friction force of the bucket soil after grouting, and greatly improve the anti-pull, anti-compression and anti-overturning bearing capacity of the suction bucket foundation.

The invention relates to a direct-driven permanent magnetic synchronous wind power generation system. The system includes a fan blade, a PMSG, a machine side converter, a capacitor, a grid side converter and a power grid and is used for absorbing electrical energy emitted from the permanent magnetic synchronous wind power generation system. The invention further relates to a full auto disturbancerejection control method for the direct-driven permanent magnetic synchronous wind power generation system. The double-closed loop vector control strategy of rotor field orientation is utilized by a permanent magnetic synchronous motor, an outer loop is a speed loop, an inner loop is a current loop, and auto disturbance rejection controllers are utilized by both loops to control operation of a machine side converter. Dynamic property of speed control is improved through an auto disturbance rejection speed controller, random disturbance caused by factors such as wind speed are reduced, and influence of nonlinear dynamic change within the system as well as external disturbance is reduced by an auto disturbance rejection current controller. The system is advantaged in that the system can overcome characteristics of uncertainty and multi-interference of a large permanent magnetic synchronous wind power generation system, performs real-time estimation and compensation for internal and external disturbances of a wind fan and improves reliability and anti-interference ability of the overall system.

The invention relates to a method for ultra-short-term prediction of solar irradiance in clear and cloudy weather, which is based on an all-sky imager (TSI-880) ground cloud picture, including cloud retrieval of real-time ground-based cloud images, using the cloud image retrieved from the time-series cloud cover to predict the cloud image; Then, the multiple linear regression equation is constructed by using the cloud amount and clear sky factor data of n time cloud pictures before t time. Finally, the cloud amount data of t + Delta t time cloud pictures in the future are substituted into theregression model to obtain the forecast clear sky factor, and then the forecast surface irradiance of the corresponding future time is calculated. The invention can effectively predict the variation of the ground solar irradiance caused by the movement and change of the clouds in the clear and cloudy weather condition in real time, overcomes the shortcomings of the existing solar radiation prediction method such as randomness, uncertainty, large error and the like in the clear and cloudy weather condition, and realizes the advantages of good real-time performance and high accuracy.

The invention discloses a rodless cylinder servo system position precision control method. The method comprises the following steps: 1, a mathematical model for a pneumatic position servo system is built; 2, based on the mathematical model built in the first step, a tracking differentiator is designed according to an active disturbance rejection control technology; 3, a linear extended state observer is designed, and real-time estimation and compensation are carried out on the total disturbance of the system; and 4, a linear state error feedback controller which is a general PID controller is designed, the total disturbance of the system is compensated in the controller, and thus, the original nonlinear pneumatic servo control system is converted to a linear integral series control system. The method of the invention does not rely on the precise mathematical model for the pneumatic servo system, no pressure detection device needs to be added, all uncertain factors and external interference during an experiment process can be overcome, quick and precise position control on the rodless cylinder is finally realized, and the control precision can reach 0.005 mm.

The invention discloses a vehicle safety door opening protection system. The system is provided with a control unit. The control unit acquires vehicle door lock state information, vehicle door opening and closing information, vehicle speed information, vehicle longitudinal deceleration information, transverse acceleration information and rear obstacle information collected by radar modules from a whole vehicle through CAN buses. The control unit outputs a control signal to vehicle door self-locking mechanisms. The control unit is in communication with an instrument control unit through a CAN bus to control a buzzer arranged in the instrument control unit to be started and stopped. According to the vehicle safety door opening protection system, randomness and nondeterminacy of drivers and passengers for understanding visual and audible alarming are overcome, the effectiveness of the system is improved, and the defects existing in an existing alarming manner are overcome; and in addition, the interference of visual and audible alarming reminding manners with the drivers and the passengers is reduced.

The invention discloses an emotional bandwidth determination method and an emotional damage judgment method, and relates to the fields of cognitive science and cognitive psychology. Emotional bandwidth refers to the range of the magnitude of emotional experience of a cognitive individual induced by external stimulation, and comprises positive emotional bandwidth, negative emotional bandwidth and positive-negative emotional bandwidth. The emotional bandwidth determination method comprises the following steps: making a tester watch positive, neutral and negative picture tasks for 8-10 seconds respectively, and acquiring information about each viewing point by using an eye movement device at the same time; calculating the diameters of the pupils of the tester while watching the positive, neutral and negative picture tasks; calculating the positive emotional bandwidth (positive-neutral), negative emotional bandwidth (negative-neutral) and positive-negative emotional bandwidth (positive-negative) of the tester. The concept of emotional bandwidth is put forward for the first time, the fuzziness and uncertainty of the conventional emotional experience psychological measurement are eliminated, and an objective standard of emotional experience as well as the emotional damage judgment method are provided.

The invention discloses a regional water body drawing method based on a Landsat OLI remote sensing image. The regional water body drawing method comprises the following steps: 1) constructing a universal water body index model; 2) automatically selecting an optimal water body index threshold value; 3) extracting regional water body; 4) verifying a water body extraction result; and 5) performing regional water body drawing. The method is based on an existing water body index model, and a regional water body extraction index model suitable for a Landsat OLI remote sensing image is developed. After a model wave band is adopted for operation, water body and non-water body type value domains can be effectively separated, wherein the water body shows a relatively concentrated value domain range,an image entropy algorithm is adopted to overcome the reflectivity heterogeneity of the land-saving object caused by space-time difference, and the algorithm automatically selects the optimal water body to extract the threshold value, so that the uncertainty and subjectivity of manually determining the threshold value are reduced, and the drawing precision and efficiency of the water body are improved.

The invention provides a cylinder shutting down mode implementing method and system for an engine, and a vehicle. The method includes: selecting a plurality of engine rotation speeds, and performing load characteristic test in a plurality of preset cylinder shutting down modes at each engine rotation speed so as to acquire a plurality of groups of training samples; training a wavelet neural network according to the training samples; inputting running parameters of a vehicle into the trained wavelet neural network so as to determine the cylinder shutting down number and a cylinder shutting down sequence when it is determined that the vehicle enters a cylinder shutting down mode, generating a corresponding cylinder shutting down mode signal, and acquiring the air intake flow and the fuel injection amount of working cylinders according to the cylinder shutting down mode signal; and controlling a cylinder shutting down process of the engine according to the cylinder shutting down mode signal, and the air intake flow and the fuel injection amount of the working cylinders. The cylinder shutting down mode implementing method of the engine can ensure a cylinder shutting down effect (i.e., fuel economy, can improve the uniformity of the cylinders and the stability of working, can improve the reliability of the whole vehicle, and can improve the comfort of a driver.

The invention relates to a method for performing diagnosis on the working condition of a rod pumped well upon a neural network. An oil well fault diagnosis method based on the neural network comprises the following steps: S1, acquiring indicator diagram displacement and load data through a load and displacement sensor, and uploading the data to a database through a remote RTU (remote terminal unit) polished rod module; S2, performing the following processing shown in the specification on information in the database to obtain a feature vector; S3, establishing the radial basis function neural network to perform judgment. According to the method disclosed by the invention, blindness and nondeterminacy caused by simply depending on the graph geometrical characteristic are overcome; the diagnosis accuracy can be improved, and the production practice requirement is met.

The invention discloses a grade transition control method of polyethylene production process based on a two-layer hierarchical structure. The grade transition control method includes upper-layer polyethylene grade transition trajectory dynamic optimization, trajectory tracking predictive control and trajectory deviation detection of lower-layer and online updating mechanism. By combining the polyethylene grade transition trajectory dynamic optimization and the trajectory tracking predictive control on the basis of the two-layer hierarchical structure, the polyethylene production grade transition control strategy is designed; a method of controlling vector parameterization is adopted for the transition trajectory dynamic optimization; and quick tracking control is realized by model predictive controller adopted for a trajectory tracking controller. Meanwhile, a deviation detection mechanism is introduced to update optimized trajectory online. By the aid of the grade transition control method, affection of uncertain features and disturbance during polyethylene production grade transition process can be overcome; grade transition close-loop control is realized; online trajectory accuracy of an optimized trajectory is improved; economic cost of the polyethylene grade transition process is saved; and comprehensive benefits of enterprises are improved.

The invention provides a TBM unfavorable geology identification method based on an intelligent driving model to solve the problems of low identification degree and the like caused by the fact that a TBM driver judges geology according to experience of the TBM driver, and the method comprises the following steps: collecting TBM operation parameters reflecting an equipment operation state; preprocessing the obtained TBM operation parameters; according to the preprocessed TBM operation parameters, constructing TBM comprehensive parameters capable of comprehensively reflecting the interaction of the rock machine; extracting stable section mean value characteristics from the obtained TBM operation parameters and TBM comprehensive parameters, and a constructing TBM characteristic parameter matrix; according to the identified TBM normal stratum and the unfavorable geological section in the tunneling process, using an intelligent driving model to construct an unfavorable geological identification model between the TBM characteristic parameter matrix under the corresponding scalar section and whether there is unfavorable geology or not; and obtaining a new TBM characteristic parameter matrix for the newly obtained TBM operation parameters according to the method, and judging whether the current TBM enters bad geology or not on line through the established unfavorable geology identification model. The implementation method disclosed by the invention is simple and high in distinguishing degree.

The invention proposes a method of orbit transfer control after debris capture based on the auto-disturbance rejection control technology, and belongs to the field of orbit transfer control. The technical scheme comprises a first step of decoupling, according to a motion equation of a post-capture combined system, each channel of the combined system into a single input-single output sub-control system by introducing a "virtual control amount" U; a second step of designing a non-linear dynamic compensation control rate according to each sub system control model; a third step of designing an auto-disturbance rejection controller for each channel, including a tracking differentiator, an extended state observer, and a nonlinear state error feedback control rate; and a fourth step of obtaining, according to the "virtual control amount" of each channel, the required actual control amount. The most prominent advantage of the invention is to overcome the uncertainties of the post-capture combined system model and external disturbance by using the prominent feature of "real-time estimation and compensation of uncertain factors" of the auto-disturbance rejection technology.

An automatic frequency correction (AFC) apparatus used for CDMA multipath fading channels comprises a frequency-offset evaluator, an automatic frequency correction loop filter and a carrier frequency adjuster. The present invention provides a “multipath energy window” designing method for the non-determinacy of multipath signals in mobile communication environment. Frequency-offset information can be extracted from the multipath energy window by a simple calculation and evaluated by a maximal SNR weight process. This invention also provides a step-variable accumulation adjusting method and greatly improves the response speed of the AFC apparatus as compared with a conventional loop filter, whereby supplies better AFC required for CDMA mobile terminals.

The invention discloses application of NW_006882077-1 in CHO cell genome to stable expression of protein. The site for stably expressing protein in the CHO cell genome is at the base 691045 of the CHOcell gene NW_006882077.1; the 5'NNNNNNNNNNNNNNNNNNNNNGG3' identifiable to the CRISPR / Cas9 technology between 690980 and 691090 near the site is the target sequence. According to the application disclosed by the invention, different protein genes are imported to a fixed position in the CHO cell genome and are stably expressed.