216results about How to "Data error is small" patented technology

The invention provides a depth neural network based vector quantization system and method, comprising a normalization preprocessing module for normalizing original data through normalized data and outputting preprocessed data after normalization; a vector quantization and coding module for receiving the preprocessed data and the codebook and carrying out vector quantization coding to the preprocessed data through the codebook and outputting the coded data; a neural network inverse quantization module for performing the decoding of the inverse quantization to the coded data through a depth neural network and outputting the decoded data; a processing module after inverse normalization for performing an inverse normalization process to the decoded data through the normalized data and outputting the restored original data after the inverse normalization; and a neural network training module for carrying out trainings to the neural network through the pre-processed training data and coded training data after normalization processing and outputting the neural network to the neural network inverse quantization module. The system and the method of the invention can effectively solve the problem that the quantization error is large in high dimension signal vector quantization.

The invention discloses a method and a device for identifying abnormal data of monitoring index data. The method comprises the steps of: obtaining index data at a current moment, determining the prediction interval of the index data according to the historical index data in a preset period, and determining the fluctuation value of the index data according to the prediction interval and the index data at the current moment; when the fluctuation value does not accord with a fluctuation threshold, determining that the index data is problem data, the fluctuation threshold being obtained by comparing the index data with historical index data in a first time period before the current moment; and if the index data at the current moment is stable, determining the problem data as abnormal data. Theindex data at the current moment is identified according to the historical index data, and the alarm accuracy is improved; and the problem data is determined as abnormal data according to the stability of the index data at the current moment, so that the accuracy of identifying the abnormal data is improved, and false alarms caused by data increment or data cutting are reduced.

The related damageless detection device for initial and final setting time of concrete comprises: a transmission bar, two baffle plates, a dial gage, and a clamp screw. Wherein, one end of the bar crosses a baffle plate to be fixed by the screw, another end crosses another plate to contact with the gage. This invention is smart and convenient, and special fit to on-scene detection.

The invention discloses a device and method for determining coverage rate information of increment codes. The method includes: adopting a code management device for acquiring increment change files ofto-be-tested version codes relative to base line version codes; acquiring the increment codes of the to-be-tested version codes relative to the base line version codes on the basis of the increment change files; subjecting the to-be-tested version codes to unit testing to obtain integral code coverage rate information; on the basis of the integral code coverage rate information and the incrementchange files, mapping change codes of the increment codes to row objects of an abstract syntax tree; performing traversal of the row objects of the abstract syntax tree, and determining characteristicinformation amount of the increment codes and covered characteristic information quantity of the increment codes from the row objects of the abstract syntax tree; dividing the characteristic information amount of the increment codes by the covered characteristic information quantity of the increment codes to obtain the coverage rate information of the increment codes. By adoption of the method, increment code testing efficiency and accuracy are improved.

The invention discloses a measurement method for a substance variable temperature magnetic susceptibility. The measurement method comprises the following steps: controlling a temperature in a vacuum furnace to a pre-set temperature; adjusting a numerical value of a magnetic field gradient product by using a magnetic field generator; generating a special magnetic field gradient product constant area in a space area, where a sample to be measured and a sample tube are arranged, inside the vacuum furnace; enabling the sample to be measured and the sample tube to be entirely located in the magnetic field gradient product constant area formed by the magnetic field generator; respectively measuring masses of the sample to be measured and the sample tube with different magnetic field gradient products at the pre-set temperature through an electronic balance; obtaining a mass magnetic susceptibility of the sample to be measured at a certain temperature through calculation. The invention further provides a measurement device for the substance variable temperature magnetic susceptibility. With the adoption of the measurement method and the measurement device, the problems in the traditional magnetic susceptibility measurement method of larger limitation and error are solved; not only can the magnetic susceptibility of an unknown substance be more accurately measured, but also the magnetic susceptibilities and different crystal orientation magnetic susceptibilities of the substance at different temperatures can be measured.

The invention discloses an automated weather station system with a fault self-diagnostic and self-recovery function, and belongs to the technical field of automated weather stations. The automated weather station system with the fault self-diagnostic and self-recovery function comprises n weather stations and a remote control terminal, wherein n is a positive integer, and each weather station comprises a microcontroller, a collector and a communication module; the collector is externally connected with a power supply, and a comparator circuit is arranged inside the remote control terminal; when a certain weather station in the n weather stations is subjected to detection diagnosis, the data average value of (n-1) weather stations other than the detected weather station is used as a reference value; and when the difference of the weather data of the detected weather station and the reference value exceeds the preset deviation range, the fault of the collector of the weather station is diagnosed. The automated weather station system provided by the invention can diagnose a fault source by self, shorten downtime, improve the work efficiency of the weather station, reduce data error, and enhance real-time detection accuracy and stability.

The present invention discloses a rock long-term strength parameter determination method based on a Casagrande method. The rock long-term strength parameter determination method comprises: drawing a steady-state hoop strain rate-stress level relationship curve according to triaxial creep test results, extending the upper straight section and the lower straight section of the steady-state hoop strain rate-stress level relationship curve to form an angle, making the angular bisector of the angle, making the angular bisector and the steady-state hoop strain rate-stress level relationship curve intersect at a first intersection point, determining the first intersection point as the inflection point of the steady-state hoop strain rate-stress level relationship curve, and obtaining the rock long-term strength parameter based on a Casagrande method so as to achieve the purposes of exact selection of the curve intersection point and substantial reduction of the data error. According to the present invention, the method is simple and effective, and the disadvantages of unclear defined inflection point, high error and the like of the traditional rock long-term strength parameter determination method are effectively improved, wherein the long-term strength parameter determined by the method of the present invention is moderate, can be used for the rock engineering long-term stability analysis, and provides reference for the construction and the long-term operation of the project.

The invention discloses a detection system for efficiently, accurately and automatically inducing and analyzing a road surface friction coefficient by using a big data analyzing and digging technology. The detection system comprises a vehicle driving sensor, a big data acquisition and leading-in device and a big data inductor, wherein databases MySQL and Oracle are arranged in a memory which is electrically connected with the big data acquisition and leading-in device; a data characteristic matrix stored in the memory comprises a regional characteristic, a road surface characteristic, a vehicle speed, temperature, humidity and the road surface friction coefficient; the big data inductor is internally provided with a MySQL Infobright and Oracle Exadata which are used for analyzing data, and Hadoop Mahout used for digging the data. The system also has an automatic correction function.

The invention belongs to the field of infrared detection technology, and provides a calibration method, device and system for infrared thermal imager. The method comprises the following steps: acquiring the temperature of the standard blackbody, the grayscale of the image corresponding to the standard blackbody, and the detector temperature; working out coefficients of the quadratic function calibration equation according to the quadratic function, the temperature of the standard blackbody and the grayscale of the image corresponding to the standard blackbody; working out nine parameters of the quadratic function temperature excursion equation according to the quadratic function temperature excursion equation, coefficients of the quadratic function calibration equation, and the detector temperature; determining the corresponding temperature of the target object according to the nine parameters of the quadratic function temperature excursion equation, the quadratic function temperature excursion equation, the quadratic function calibration equation, and the pre-acquired image grayscale of the target object. The calibration method, device and system for infrared thermal imager can effectively calibrate the infrared thermal imager, with high accuracy and small error, improving the performance of the device.

The invention discloses a method for detecting and analyzing a biomembrane on the inner wall of an oil field sewage pipe. In the invention, an inner ball valve arranged on the inner wall of the oil field sewage pipe is used for controlling; a protecting sleeve is in threaded connection with the ball valve; a sealing ring at the inner periphery of the protecting sleeve presses on a seal and is in threaded connection with a pressing cap with the protecting sleeve; a positioning screw arranged on the pressing cap passes through the pressing cap, the protecting sleeve and a sampler, wherein the sampler consists of a sampling rod inserted into the inner wall of the oil field sewage pipe in the center of the ball valve and a test sheet carrier arranged at the lower end of the sampling rod; a test sheet which is made from the same material and is used as the sewage pipe is hung on the inner wall of the oil field sewage pipe; and the biomembrane of the sewage pipe is detected through the test sheet. The period for detecting the biomembrane is over 14 days. The period for detecting the biomembrane can be prolonged according to the requirement on the thickness of the biomembrane. The detected biomembrane is analyzed and detected. Bacterium amount detection, strain identification total biomass detection and the detection on the activity inhabitation ability of bactericides on bacteria in the biomembrane are respectively performed on the detected biomembrane, and an adaptive bactericide is selected from the bactericides, so the aims of good sterilizing effect, small bactericide using amount and sewage treatment cost conservation are fulfilled.

The invention relates to a digital skeleton operation repair method and system. The digital skeleton operation repair method includes the steps of carrying out CT scanning to affected portions of orthopedic patients to obtain corresponding image data, performing three-dimension reconstruction and resetting according to the image data of patients, carrying out design of implants, position determination of screw holes, type selection of screws and the like under guidance of model parameters, finally, printing simulated models (including operation assistant stents) of the affected portions of the patients by the 3D printing technology, carrying out a series of pre-operative simulation processes, such as repairing, positioning and fixing to the simulation models; thereby, increasing operability and precision of skeleton operation, reducing operative risk, and providing a new practice method for customization of patients.

The invention relates to a pig face recognition method, which belongs to the technical field of artificial intelligence. The method comprises the following steps: S1, multiple pigsties are arranged side by side, wherein each pigsty comprises a pigsty entrance arranged oppositely, and the pigsty is internally provided with a camera facing the pigsty entrance; S2, the cameras carry out shooting on pig faces entering the pigsties, and pig face video source data are acquired synchronously; S3, the video source data are uploaded to a server and processed to pig face images; S4, the pig face imagesare screened and labeled, effective pig face images are kept, and the coordinate information of the labeled pig face images is used as image data sources; S5, a model for pig face recognition is trained according to the image data sources; and S6, according to the well-trained pig face recognition model, the acquired pig face video source data are processed automatically. Through adopting a Tensorflow system for pig face recognition, the problem of lacking a technology for pig face recognition currently is solved.

The invention discloses a drainage type segment lining model pore hydrostatic test device. An inner die (3) which is constructed by a circular PVC (Poly Vinyl Chloride) tube is longitudinally arranged in a box body (1) of the device; the lower part of the inner die (3) is provided with inner die drainage holes (3a); a water outlet end of the inner die (3) extends out of a side wall of the box body (1); a water storage container (8) is arranged below the water outlet end of the inner die (3); a steel outer die (2) is sleeved outside the inner die (3) and is provided with outer die drainage holes (2a) with the same circumferential positions as the inner die drainage holes (3a); the number of the inner die drainage holes (3a) is less than or equal to that of the outer die drainage holes (2a); and any inner die drainage hole (3a) is aligned with a corresponding outer die drainage hole (2a). The test device is easy for test operation, has a short test period, high test data accuracy and high reliability and can provide a more effective, reliable and accurate test basis for design and construction of a shield tunnel, so that safety and economy of the tunnel are guaranteed better.

The invention discloses a bioelectricity-impedance-based wearable leg ring capable of measuring body compositions. The bioelectricity-impedance-based wearable leg ring comprises a flexible leg ring belt and an impedance detection system. The impedance detection system comprises a master control panel, a dry electrode, a power supply module and an indicator lamp module. The dry electrode, the indicator lamp module and the power supply module are all electrically connected with the master control panel. The flexible leg ring belt comprises a left flexible leg ring belt body and a right flexible leg ring belt body. The left flexible leg ring belt body and the right flexible leg ring belt body are electrically connected when human body bioelectricity impedance is detected. The impedance detection system is used for detecting human body bioelectricity impedance to obtain the human body bioelectricity impedance numerical value. The power supply module is used for supplying power to the master control panel. The bioelectricity-impedance-based wearable leg ring has the advantages of being small in size, convenient to use, precise in measured data, and the like.

The present invention discloses an examination apparatus for an eddy current flaw detector. The examination apparatus comprises a frequency meter and an oscilloscope, and further comprises a storage unit, a parameter setting unit, a data matching module, a processor and a display unit, wherein the frequency meter and the oscilloscope are provided for synchronously testing the output frequency and the output voltage of the eddy current flaw detector requiring examination during a standard calibration block testing process by using the eddy current flaw detector requiring examination, standard detection data of a plurality of standard calibration blocks is stored in the storage unit, the data matching module is provided for matching the standard calibration block model input through the parameter setting unit with the standard detection data, the processor is provided for analyzing and processing the data tested through the frequency meter and the oscilloscope, comparing the tested data with the matched standard detection data, and obtaining the examination result, and the display unit is provided for synchronously displaying the examination result. The examination apparatus of the present invention has characteristics of reasonable design, convenient wiring, simple operation, good use effect and high intelligence degree. With the examination apparatus of the present invention, the defects of large labor intensity, easy error generating, low intelligence degree, inconvenient use and operation, low examination efficiency and the like in the existing examination apparatus for the eddy current flaw detector are effectively solved.