455results about How to "Improve accuracy and reliability" patented technology

Method and apparatus to predict the remaining service life of an operating system

A method and computer-based apparatus for monitoring the degradation of, predicting the remaining service life of, and/or planning maintenance for, an operating system are disclosed. Diagnostic information on degradation of the operating system is obtained through measurement of one or more performance characteristics by one or more sensors onboard and/or proximate the operating system. Though not required, it is preferred that the sensor data are validated to improve the accuracy and reliability of the service life predictions. The condition or degree of degradation of the operating system is presented to a user by way of one or more calculated, numeric degradation figures of merit that are trended against one or more independent variables using one or more mathematical techniques. Furthermore, more than one trendline and uncertainty interval may be generated for a given degradation figure of merit/independent variable data set. The trendline(s) and uncertainty interval(s) are subsequently compared to one or more degradation figure of merit thresholds to predict the remaining service life of the operating system. The present invention enables multiple mathematical approaches in determining which trendline(s) to use to provide the best estimate of the remaining service life.

Method for predicting short-run air traffic flux based on real time radar and flight information

ActiveCN101201978AImprove accuracy and reliabilityClear and simple predictive processingAircraft traffic controlRadar data processingEnvironmental geology
The invention relates to a method for predicting short-term air traffic flow based on real-time radar and flight information, which pertains to emulation of computers. On the basis of traditional prediction, real-time radar data and weather information are brought in; the radar data are directly led from an ATC system and the flight information and the weather information are led from an AFTN network. Corresponding flight models are set up according to different plane types; a flight route and specified cruising speed are obtained from a flight plan; time and speed of flying each way point, as well as when and where to pass through what controlled areas, are predicted roughly. After a plane takes off, the real-time radar data are used for amending existing prediction. During the whole way of flight, relevant upper wind data are brought in to judge the influence of wind on the flight and amend relevant flight models. A system is provided with a processing server of the flight information and weather, a processing server of the radar data, a processing server of the flow, a database and a display terminal. The invention greatly promotes correctness and reliability of flow prediction by carrying out data exchanging through ethernet network.

Intelligent acupuncture point locating device and method based on image identification

InactiveCN102743282AImprove accuracy and reliabilityThe positioning steps are concise and scientificDevices for locating reflex pointsLoudspeakerAcupuncture point
The invention discloses an intelligent acupuncture point locating device and method based on image identification. The device comprises an image acquisition device, a display unit, a voice broadcast unit, a microprocessor and a memory, wherein the image acquisition device is arranged in a probe, the output of the image acquisition device is connected with the microprocessor, the voice broadcast unit comprises a unit and an audio conversion module, and the control signal output of the microprocessor is connected with the loudspeaker through the audio conversion module. The device vividly and directly displays the acupuncture point on a human body three-dimensional (3D) model, objectively and accurately locates the acupuncture point according to the location relationship of human body skeleton, muscle, vessel, nerve, lymph or internal organs of the body and the acupuncture point, and is not influenced by the body shape difference of users, so the location result has high accuracy and reliability; and in addition, the locating steps are simple and scientific, and the device is simple to operate, convenient and safe to use, and is beneficial to the development and popularization of an acupuncture diagnosis and treatment technology.

Rapid correction method for scanning document image

ActiveCN101930594ASimplified Computational ComplexityImprove accuracy and reliabilityImage enhancementImage analysisCorrection methodCorrection algorithm
The invention discloses a rapid correction method for scanning a document image. A detection step is calculated according to the size of the image; four lines are fixedly detected, and the maximum number of points of each line is 100, so the maximum number of characteristic points of a straight line is no more than 400; therefore, the calculated amount of Hough transformation during straight line detection is reduced and the stability is improved; the Hough transformation with a limited included angle is adopted to further improve the efficiency of the straight line detection; an inclined angle is calculated according to parallel lines, so the algorithm can process a trapezoidal document image; the calculation of an intersection is determined according to a parametric equation of two straight lines; when the image rotates, an effective image region is only processed, the process of interpolation calculation of a black background is avoided, and the processing efficiency is improved; and the document image is partitioned for processing, and the interpolation calculation is determined according to a partitioning characteristic so as to improve the execution efficiency of a correction algorithm; and quality optimization adopts a grey scale compensation method so as to achieve better visual effect.

Power system fault diagnostic method based on probability Petri net

The invention discloses a power system fault diagnostic method based on a probability Petri net. The power system fault diagnostic method comprises the following steps of: when a power system is in fault, identifying whether fault information is true fault information or not, preprocessing the true fault information, generating a fault suspicious component library, and forming a correlated suspicious component sublibrary; extracting suspicious components in the fault suspicious component library by a monitoring center, and generating a suspicious component fault tree; establishing a probability Petri net model of outgoing lines of the suspicious components in all directions; carrying out fault diagnosis, so as to obtain fault diagnosis results; and judging fault conditions of the suspicious components corresponding to fault diagnosis results, if the suspicious components belong to the associated suspicious components, executing credibility comparison, so as to obtain fault components, and if not, regenerating the fault tree. With the adoption of the power system fault diagnostic method based on the probability Petri net, an optimal function parameter of a transition function is given based on a probability Petri net theory, the unreliability of the components is introduced, and the fault diagnosis method containing credibility evaluation is provided, so that the power system fault diagnostic method is higher in reliability and accuracy, and can be well applied in actual power grids.

System and method for testing breaking tenacity of material based on temperature-controllable electrochemical hydrogen charging environment

The invention discloses a system and method for testing the breaking tenacity of a material based on a temperature-controllable electrochemical hydrogen charging environment. The method comprises the following steps: fixedly connecting a target material testing component, adding electrolyte, and inserting a temperature sensor, an auxiliary electrode, an extensometer and the like, and respectively connecting a temperature control assembly, an electrochemical working station, a stretcher and a computer; starting the electrochemical working station, carrying out electrolysis to produce a large amount of hydrogen on the surface of the target material testing component, and introducing hydrogen into the testing component through permeation and diffusion, so as to realize the hydrogen charging of the testing component; after reaching a set hydrogen charging time, starting the stretcher to carry out tensile experiment operation on the testing component, and calibrating breaking tenacity of a target material. According to the system, the performance parameters such as the breaking tenacity of the target material in a given hydrogen charging environment are synchronously measured.

Vehicle safe driving detection method, device and storage medium based on artificial neural network

The embodiment of the invention relates to the technical field of automobile electronic control, and discloses a vehicle safe driving detection method based on an artificial neural network, a device and a computer-readable storage medium. In the invention, the method comprises the following steps of: collecting characteristic sample parameters of a historical driving process; Establishing artificial neural network model including front neural network and back neural network, and train artificial neural network model by using characteristic parameters of dangerous driving. The first kind of characteristic parameters and the second kind of characteristic parameters of the driver are obtained in real time during the current driving process of the vehicle. The first and second characteristic parameters are inputted into the artificial neural network model, and the classification probability value of dangerous driving characteristics is obtained. Then the driver is judged to be in dangerousdriving state and the reminder information is sent. The invention provides a vehicle safe driving detection method based on an artificial neural network, a device and a computer-readable storage medium, which can improve reliability and accuracy of dangerous driving evaluation.

Smart home linkage method and system by infrared human body induction based on cloud lock

Provided are a smart home linkage method and system by infrared human body induction based on a cloud lock. The method includes the process of door entering unlocking and detection. The method includes step 1 of acquiring fingerprint information or key information by a mobile communication terminal, and transmitting fingerprint information or key information and unlocking instructions; step 2 of determining whether the fingerprint information or the key information has the unlocking authority; step 3 of receiving, by a cloud lock device, an infrared detection command and a remote unlocking command, and detecting whether someone is outside the door by an infrared sensor A; step 4 of sending, by the cloud lock device, a triggering infrared command to a cloud server after unlocking is achieved; step 5 of triggering, by the cloud server, an infrared sensor B on a smart home device; step 6 of sending a starting instruction to the smart home device after the confirmation by the mobile communication terminal; step 7 of receiving the starting instruction by the smart home device, and performing starting operation. According to the smart home linkage method and system, not only is the problem of potential safety hazards caused by accidental remote unlocking touch solved, but also the specific indoor smart home device is triggered by linkage, and the smart home linkage method and systemare more intelligent.

Disease risk regulation model establishment method

ActiveCN104992058AAvoid overfittingImprove accuracy and reliabilitySpecial data processing applicationsPopulationHospitalization cost
The invention discloses a disease risk regulation model establishment method. According to the method, for historical data of patients in a hospital or all hospitals in a region, accompanying complications of the patients during hospitalization, population characteristics of patient individuals, hospitalization state sources and the like are integrated into affecting variable factors of disease treatment, and statistic models are established according to the DRG type of a disease diagnosis related group and final treatment information of the patients respectively for performing numerical prediction and analysis on the death rate, the hospitalization period and the hospitalization medical cost of the hospital patients. According to a risk regulation model, the complications and other hospitalization information variables of the patients during hospitalization are innovatively utilized, a check and regression method in classical statistics is adopted, and modeling is carried out in combination with an LASSO method, so that over-fitting caused by too many variables is avoided, the death rate, the hospitalization period and the hospitalization cost of the patients are quantitatively predicted, and new means and way are created for medical analysis and hospital management.
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products