104results about How to "Accurate judgment basis" patented technology

The invention provides a self-cleaning control method and device for an air conditioner. The self-cleaning control method comprises the steps that the current operation mode of the air conditioner is detected, and if the current operation mode of the air conditioner is a non-refrigerating mode, the air conditioner is adjusted to be in a refrigerating mode; the rotating speed of a motor of a fan of an indoor unit of the air conditioner and the first current value of the motor under the rotating speed are detected; and the first current value of the motor under the rotating speed is compared with a first preset current value of the motor under the rotating speed, if the first current value is smaller or equal to the first preset current value, a self-cleaning mode of the air conditioner is started, and self-cleaning treatment of a heat exchanger of the indoor unit is carried out. The air conditioner can start the self-cleaning function automatically, and the self-cleaning effect of the air conditioner is promoted.

The invention is concerned with the electricity surge protector with proper motion monitoring, includes the SPD body, the signal collector, the processer and the memory cell, there into, the memory cell on the in or outside of the processer can protect the standard configuration of the SPD; the processer, connecting the signal convertor to process the SPD state from the collector to obtain the operating state data, and it can compare the data and the standard configuration with the advanced designed information, at the last, to analyze the result and give remain to the users and/or control the action of the SPD.

The invention is concerned with the monitoring system of the current rush protector, includes the terminal monitoring equipment and the SPD demands to be monitored at least one, which can communicate with the terminal monitoring equipment through the electric power line. It works as: the terminal monitoring equipment sends out the scanning single following standard timing or special request, and through the second signal send/receive device to the power supply circuit, reaches the scan signal receiving SPD, when inspecting right overpasses, it can send the working state to the power supply circuit to the terminal monitoring equipment. Even there is abnormity of the SPD, it can send the abnormity data to the power supply circuit automatically, for intermit requesting and the terminal monitoring equipment can determine to report or intermit the circuit by analyzing the SPD data. The SPD is also with the capability of intermitting.

The invention discloses a stereo image objectivity quality evaluation method based on visual perception. Based on two parts of a left and right viewpoint image quality and depth perception, the left and right viewpoint image quality is used to capture multi-scale structure information so that a difference of a structure similarity of an original and distortion stereo image pair can be effectively reflected. The stereo depth perception is caused by the subtle difference existed in the image seen by left and right eyes of human beings. Through comparing a brightness distortion of original and distortion absolute difference value images, a structure distortion and a sensitivity distortion, a depth perception evaluation value can be acquired. Then, nonlinear fitting is performed on the evaluation values of the two parts so as to obtain a final stereo image quality evaluation index. Because the method combines the specific depth perception characteristic of the stereo image and a objective evaluation model result of the image quality loss characteristic, the quality of the stereo image and the depth perception can be reflected. Therefore, the evaluation result can objectively reflect stereo image processing or influence of a compression algorithm on stereo image quality change.

The invention discloses an air conditioner frosting detection method and device, a storage medium and equipment. The method comprises the steps that corresponding relation between operation parametersof an air conditioner in the heating mode and frosting states of a condenser is established through self-learning capability of an artificial neural network; current operation parameters of the air conditioner are obtained; and the current frosting state corresponding to the current operation parameters is determined according to the corresponding relation. According to the scheme, the defects that in the prior art, the frosting judgment accuracy is low, the refrigerating effect is poor and user experience is poor can be overcome, and the beneficial effects that the frosting judgment accuracyis high, the refrigerating effect is good and user experience is good are achieved.

The invention discloses an on-line detection device for broken wires of wire ropes. The on-line detection device is characterized in that two corresponding alternating magnetic fields which are opposite in direction and equal in size are formed at the corresponding parts of a magnetic-lag hollow tube along the length direction of the magnetic-lag hollow tube, so that the middle part of the magnetic-lag hollow tube is formed into a zero magnetic field, and an induced magnetic field is formed, the alternating magnetic field in the corresponding direction of the induced magnetic field is generated by a high-frequency alternating current power supply. By using the device disclosed by the invention, the external broken wires of wire ropes can be detected, and the internal broken wires of the wire ropes also can be accurately detected; and meanwhile, the device is simple in structure, easy to use, accurate in detection, and high in sensitivity.

The invention relates to a rehabilitation system and method based on interactive virtual reality and electrical nerve stimulation. The rehabilitation system and method based on interactive virtual reality and electrical nerve stimulation are used for rehabilitation of limb dyskinesia caused by nervous system function damage, such as cerebral apoplexy, spinal nerve damage and cerebral palsy. The rehabilitation system based on interactive virtual reality and electrical nerve stimulation includes the following function devices: an interactive input device, a motion imagination device, an electrical stimulation device, a data analysis device and a system processor. The rehabilitation method based on interactive virtual reality and electrical nerve stimulation is depended on the display mode under the virtual reality application technology, combined with the interactive input device and the bioelectrical nerve stimulation device, and uses the rehabilitation kinesitherapy and the motion imagination therapy to implement the systematic rehabilitation scheme covering the whole stage of rehabilitation.

The invention discloses a phase plane vehicle stability determination method. The phase plane vehicle stability determination method comprises steps of establishing a two-freedom-degree vehicle analysis model according to a driving condition input parameters, using a vehicle two-freedom-degree model to draw a whole working condition vehicle stability phase plane graph, wherein the phase plane graph is a vehicle-side-slip-angle-and-yaw-velocity phase plane graph with the yaw velocity as an ordinate and the side slip angle as an abscissa, 2) determining a type of a stability domain where the vehicle is positioned according to the working condition of the vehicle, 3) using a stability domain type database to obtain a vehicle stability domain according to the vehicle working condition and 4) determining whether the vehicle is unstable through determining whether the vehicle driving state is beyond the stability domain. The phase plane vehicle stability determination method can fully characterize a stability state of a full working condition vehicle and provides an accurate determination basis to involvement and exit of the vehicle stability control.

The invention discloses a gene expression classifier for predicting colonic adenocarcinoma prognosis, and an establishment method for the classifier. The establishment method comprises a data training stage and a verification stage. The training stage comprises a first stage and a second stage; in the first stage, a gene expression classifier prototype capable of predicting the colonic adenocarcinoma prognosis is established by using a supervised machine learning method; and in the second stage, the gene expression classifier for predicting the colonic adenocarcinoma prognosis is obtained by further using the machine learning method. The gene expression classifier can predict not only prognosis of patients suffering from colonic adenocarcinoma but also prognosis of patients suffering from kidney cancers, lung squamous cancers, eye ground and skin melanin tumors, brain cancers and pancreatic cancers, thereby providing accurate judgment criteria for postoperative adjuvant treatment of the patients suffering from the cancers.

The present invention discloses a neural network-based manually annotated white blood cell error calibration method and device. The calibration method comprises the steps of S1 obtaining an original image; S2 pre-processing the image; S3 segmenting the white blood cells and extracting the edge pixel point coordinates of the cells; S4 selecting the cells having the obvious characteristics as the training data and using the other cells as the test data to train a network; S5 using a softmax classifier to score the test cells, and dividing the test cells into the concrete categories and the sub-categories according to the scores; S6 carrying out the polar coordinate data enhancement on the training cells and the sub-category cells; S7 retaining the enhanced training images, using the sub-category images to test and scoring; S8 according the scores, rejecting the cells that are not within the appointed categories and dividing the other cells into the concrete categories. According to thepresent invention, during the classification process, the interference cells that are meaningless to the classification can be rejected, and the peripheral blood white blood cells can be classified into a plurality of small categories, thereby increasing the cell classification accuracy substantially.

The invention provides a human body faint early warning method based on acquired electroencephalogram (EEG) signals. The human body faint early warning method comprises the following steps of acquiring EEG signals of M channels of a human centrifuge at different G values by an EEG acquirer, wherein M is a positive integer; preprocessing the EEG signals in the M channels for acquiring low-frequency EEG data of each channel in the M channels; acquiring the parameter correlation rate of a frequency band of each EEG signal at each data field; when one parameter correlation rate meets early warning conditions before faint, carrying out human body faint early warning reminding. According to the method disclosed by the embodiment of the invention, the state before the human body faint can be recognized in advance and be early warned, the physical signs of a trainee are facilitated to be comprehensively learnt, and the practical application value for guiding human body training is realized.

The invention relates to a lithium battery life period prediction method comprising the following steps: cycling a lithium power battery of certain model specification for an assigned time, and detecting electrical property thereof; dismounting the battery so as to obtain one or more of the following battery materials: anode material, cathode material, diaphragm and electrolyte; carrying out knowledge of material detection and/or analytical chemistry detection, and building a standard database containing corresponding relations between lithium power battery electrical property indexes, knowledge of material parameters and/or analytical chemistry parameters and cycling times; dismounting a tested lithium power battery and carrying out correlation detections, comparing the data, and predicting the battery residual cycling time. The lithium battery life period prediction method can provide accurate basis for determining the waste power battery residual cycle times, provides an evaluation method for positioning waste lithium power battery gradient utilization products, thus solving the errors caused by singly using the electrical property parameter and cycle time/life corresponding relation to predict the battery life.

The invention discloses a wheel diameter correction method, which comprises the following steps: collecting speed signals of a plurality of wheel pairs in a preset period; Judging whether the speed signal of each wheel pair exceeds a preset threshold value; If not, the collected maximum speed signal is determined as the target signal, the ratio of the collected speed signal of each wheel pair to the target signal is determined as the correction coefficient of each wheel pair, and the speed correction value of each wheel pair is calculated according to the correction coefficient of each wheel pair. According to the collected speed signals of each wheel pair, The correction coefficients of each wheel pair are determined, and the speed correction values of each wheel pair are calculated according to the correction coefficients, so that the speeds of each wheel pair can be under the same datum condition, the accurate judgement basis for the anti-skid system is provided, the performance andreliability of the anti-skid system are improved, and the running safety of the locomotive is ensured. Accordingly, the invention discloses a wheel diameter correction device, a device and a readablestorage medium, which also have the technical effects mentioned above.

The invention belongs to the technical field of human body data detection, in particular to a thoracic and abdominal pressure detection system, including a thoracic pressure detector, an abdominal pressure detector, a biological signal collector and a central processing unit, wherein the thoracic pressure detector includes a first wearable member for sensing a change in thoracic pressure and a first sensor disposed on the first wearable member for detecting a change in force of the first wearable member, the abdominal cavity pressure detector includes a second wearing member for sensing a change in abdominal cavity pressure and a second sensor disposed on the second wearing member for detecting a change in force of the second wearing member. The system can detect the pressure change of thorax and abdominal cavity in real time and data the pressure change, and can be used for respiratory system disease evaluation or respiratory rehabilitation training monitoring.

The invention relates to a piece of internal leakage detection equipment and device for a hydraulic oil cylinder. The internal leakage detection equipment for the hydraulic oil cylinder at least comprises a cylinder barrel, a piston rod assembly installed inside the cylinder barrel in a matched mode, and a speed detection mechanism fixedly installed in the cylinder barrel and used for sensing the movement speed of the piston rod assembly. By the adoption of the internal leakage detection equipment and device, accurate judgment data are provided for internal leakage of the hydraulic oil cylinder.

The invention discloses a detector for the three-dimensional deformation precision of an intelligent driving type measuring instrument and a detection method. The detector comprises a platform, a guide rail system, a driving system connected with the guide rail system, a control system used for controlling the driving system and a detection platform which is arranged on the guide rail system and used for installing a measuring instrument. The detection method comprises the steps of first, acquiring initial actual measurement coordinates and resetting initial display coordinates to zero; second, adjusting the three-dimensional deformation precision detector; third, acquiring nth actual measurement coordinates and nth display coordinates; fourth, calculating a current actual measurement coordinate variation, a current display coordinate variation and a current difference; fifth, performing data storage; sixth, repeating the step two to the step five for n times; and seventh, calculating the precision of the measuring instrument. The detector is simple in structure and reasonable in design, the coordinate displacement of the measuring instrument in a three-dimensional space is adjusted by adopting an intelligent control driving device, and the reliability and the accuracy of the measurement precision of the measuring instrument while three-dimensional deformation monitoring is performed are detected.

The invention discloses a method for recognizing the lightning strike fault and the lightning strike fault type of a power transmission line. The method comprises the steps of immediately judging the polarities of ABC three-phase current traveling waves after the power transmission line is subjected to single-phase fault tripping; judging that the power transmission line is subjected to the lightning strike fault and the fault type is counterstrike if the polarities are totally the same; executing a next step if the polarities are not totally the same; determining a current change rate R of a fault phase, and judging that the power transmission line is subjected to the lightning strike fault and the fault type is shielding failure if R is greater than a threshold value; judging that the power transmission line is subjected to a single-phase ground fault if R is not greater than the threshold value. The invention also discloses a system for recognizing the lightning strike fault and the lightning strike fault type of the power transmission line. The system comprises at least one group of fault detection devices, a wireless communication system and a remote monitoring station, wherein the fault detection devices, the wireless communication system and the remote monitoring station are sequentially connected, and the remote monitoring station adopts the method for judging the fault type of the power transmission line.

The invention discloses a snoring sound identification method. The snoring sound identification method comprises the following steps: continuously acquiring n sound samples, recording duration times of all of the sound samples as T1, T2...Tn, and recording internal times between adjacent sound samples as t1, t2...tn-1, wherein n is larger than 1 and smaller than 100; judging whether the duration times T1, T2...Tn are in a first threshold range or not, and if yes, performing the next step; judging whether the interval times t1, t2...tn-1 are in a second threshold range or not, and if yes, performing the next step; judging whether the maximum value in the difference values of every two of T1, T2...Tn is smaller than N%*T1 or not, wherein N is larger than 1 and smaller than 200, and if yes, performing the next step; judging whether the maximum value in the difference values of every two of t1, t2...tn-1 is smaller than N%*t1 or not, and if yes, determining that the n sound samples are snoring sounds. The invention further relates to an anti-snoring device. Through the adoption of the method and the device, the snoring sound can be effectively determined, environmental noise can be effectively filtered, and accordingly, the anti-snoring purpose can be realized effectively.

The invention relates to a detecting method of micro-capacitance of a human body. A capacitance A and a capacitance B are arranged on a circuit board, wherein the area of the capacitance A is same with the capacitance B. Micro-capacitance is formed by round or square copper sheets which are formed by covering copper with identical electric performance with a ground wire, wherein the capacitance A is a measuring capacitance, a copper sheet area of the capacitance A is generally touched by the human body (or fingers), and the capacitance B is a capacitance and has the similar electric capacity with the capacitance A, and the capacitance B is called a standard and provides a judgment benchmark for a measuring value of the capacitance A. The fingers or one part of the human body contacting or being close to the capacitance A can be judged or not.

The invention discloses an intelligent integrated testing device and method of a low-temperature insulated gas cylinder valve. The intelligent integrated testing device comprises an industrial control computer (1), wherein the industrial control computer is connected with a PLC control system (2) through an RS232 serial communication interface, the input end of the PLC control system is connected with automatic/manual switching button and limit switch signals of a stop valve service life test unit (3), a shell pressure-resisting test unit (4) and a valve action performance test unit (5), the output end of the PLC control system is connected with control solenoid valve coils of the stop valve service life test unit, the shell pressure-resisting test unit and the valve action performance test unit through a contactless relay (6), and pressure sensor signals of the stop valve service life test unit, the shell pressure-resisting test unit and the valve action performance test unit are connected with the PLC control system through an A/D module (7). The intelligent integrated testing device integrates various testing devices of the valve and achieves automatic testing control through the industrial control computer and the PLC control system.

The invention discloses an electronic mail delivery method which comprises the following steps: before a mail is sent, a mail system of a sending part judges whether a mail system of a receiving part supports a mail address in the RFC6532 format, the mail system of the sending part supports the mail address in the RFC6532 format, the mail includes the mail address in the RFC6532 format; if the judgment is positive, the mail is sent to the mail system of the receiving part; if the judgment is negative, the mail is revised, and the revised mail is sent to the mail system of the receiving part. The invention further discloses a mail system. By adopting the invention, a user can learn whether a site supports an international mail address protocol by domain name server (DNS) search only through expanding a recording item of a domain name, and effectively and quickly judge whether the mail system of the receiving part supports the international mail address protocol, so that a quick and exact judgment basis is provided for the mail system to solve the problem of compatibility of new and old protocol mails.

The invention discloses an ambulatory blood pressure feature extraction method for obstructive sleep apnea syndrome (OSAHS). The method comprises the following steps: extracting the following parameters from 24-hour ambulatory blood pressure monitoring data of a subject, comprising: at least a part of: nighttime blood pressure rise effective height, nighttime blood pressure rise maximum height, nighttime blood pressure rise duration, nighttime blood pressure rise slope, nighttime blood pressure fluctuation frequency, nighttime blood pressure base line upper area, nighttime blood pressure base line lower area, nighttime blood pressure drop effective height, nighttime blood pressure drop maximum depth, nighttime blood pressure drop duration, a nighttime blood pressure decrease slope, a nighttime blood pressure secondary increase duration, a nighttime blood pressure secondary increase slope, a nighttime blood pressure fluctuation frequency, a morning peak blood pressure increase maximum height, a morning peak blood pressure increase duration, a morning peak blood pressure increase slope, a morning peak blood pressure decrease duration, a morning peak blood pressure decrease slope, and an area on a morning peak blood pressure baseline.

The invention relates to a detector for fire hazard detection. The detector comprises a detector body, the detector body is installed on an unmanned aerial vehicle through a holder, the detector body comprises a protective housing made of a metal material and a video acquisition unit installed in the protective housing, the video acquisition unit comprises a high-definition camera, the high-definition camera is provided with a lens, the outer side of the lens is provided with multiple optical filters for acquisition and filtering of different images, and the optical filters are connected with an optical filter switching control apparatus. According to the invention, the optical filters can be automatically switched according to needs of image acquisition, and the needs of the video image acquisition are guaranteed.

The invention discloses a remote medical service system based on a palm APP. The remote medical service system comprises the palm APP, a server and a hospital data center; the palm APP comprises a user login module, a WEB interface module and a DICOM image workstation; the user login module, the WEB interface module and the DICOM image workstation are connected with the server through the Internet, respectively, and the server is connected with the hospital data center. According to the remote medical service system based on the palm APP, a doctor logs in through the palm APP installed in a mobile terminal and then can look up the information of patients anytime; the doctor also can browse or manage CT images or MRI images obtained through the DICOM image workstation; as a result, basis is provided for the doctor to diagnose.