130results about How to "Comprehensive judgment" patented technology

The invention relates to the technical field of mining safe engineering, and particularly to a stability monitoring method for a cold high-altitude steep slope. According to the stability monitoring method, through field engineering geology, hydrogeology survey, engineering geological rock quality evaluation and rock mechanical parameter determining, the lithologic condition, the rock structure, the hydrogeology condition, the slope shape, earthquake parameters, explosion parameters and the like of the slope are determined. Slope stability analysis and a treatment strategy measure are performed. Furthermore a comprehensive monitoring system and a slope instability criterion are established.

The invention relates to a fall monitoring and warning method which comprises the following steps of: continuously acquiring at least two kinds of data in acceleration data, body angle data and plantar pressure data of a human body simultaneously; judging whether the acquired at least two kinds of data simultaneously meet the following corresponding conditions that: the acceleration is greater than a set acceleration threshold, the body angle is greater than a tilting angle threshold, and the plantar pressure is smaller than a pressure threshold; and if the conditions are met, starting to warm. The information acquired by a three-axis accelerometer, an attitude sensor and a pressure acquisition module is merged, the fall state can be judged more comprehensively, the accuracy degree of judgment is increased, and false judgment is reduced.

The invention relates to a squeal determining method and a squeal determining device. The method comprises the following steps: acquiring the current frame of a received audio signal; determining N sampling frequency points in the current frame according to preset sampling frequencies, wherein each of the N sampling frequency points corresponds to one frequency, and N is a positive integer greater than or equal to 2; determining the energy corresponding to each sampling frequency point; and determining squeal sampling frequency points in the current frame according to the energy corresponding to each sampling frequency point. According to the technical scheme, all potential squeal frequency points in an audio signal can be found comprehensively in the frequency dimension, no squeal sampling frequency point is missed, then, the continuity is analyzed on a possible squeal frequency point from the time domain, the duration of a high-energy signal of an audio frame where the squeal frequency point is located is judged to avoid misjudgment of the audio frame, and thus, comprehensive, accurate and fast detection of squeal in the audio signal is ensured.

The invention discloses a blindman outdoor support system based on computer vision, which comprises an image acquiring unit, a voice output unit, and an image-voice converting unit respectively connected with the image acquiring unit and the voice output unit, wherein the image-voice converting unit comprises an image-voice converting hardware unit and an image-voice converting software unit; and the image-voice converting software unit comprises camera parameter calculation software, plane detection software, obstacle detection and analysis software and image information-voice conversion software. In the system, a binocular camera is utilized to acquire images, a walkable area as well as obstacles and properties of the obstacles corresponding to the physical space in an image are extracted by a software algorithm in an embedded image processor, information is fed back to the blindman through a voice interface so as to assist the blindman to better understand road scenes and make a more comprehensive judgment, expand the sensing range of the blindman and avoid dangers. The device has a small size and low cost, is convenient to carry and facilitates the outdoor activities of the blindman.

The invention discloses a wearable NIRS-EEG based schizophrenia early detection evaluation system. The system comprises an NIRS-EEG bimodal cerebral function monitor device, a mobile intelligent terminal and a network server, wherein the NIRS-EEG bimodal cerebral function monitor device is used for acquiring cerebral function information of schizophrenia patients or healthy persons in real time by adopting NIRS and EEG technologies, and transmitting the cerebral function information to the mobile intelligent terminal through bluetooth signals; the mobile intelligent terminal is used for uploading data to the network server for data processing via mobile internet; and the network server is used for saving the processed data, generating a corresponding diagnosis result, and feeding back to the mobile intelligent terminal for data waveform display. The system has the advantages of accurate detection evaluation result and extremely low power consumption, and can be used for quickly and conveniently performing early detection and disease early warning for schizophrenia patients and providing scientific and reasonable guidance for nursing schizophrenia patients, so that pains and psychological burden of schizophrenia patients and family members thereof can be reduced.

The present invention provides an image identification-based field equipment video monitor method. The method includes a first step that each monitor camera performs video monitor on a work state of a monitored object, and transmits video information to a control center; and a second step that a feature database storing a feature sample and a parameter of the monitored object and a backup database storing the video information transmitted by all monitor cameras and a processing result of the control center are preset in the control center, the control center captures images according to a set interval so as to obtain each piece of image information, performs feature extraction and identification on each piece of image information so as to obtain each piece of real-time feature data, and compares the real-time feature data with the feature sample, wherein if the real-time feature data is not matched with the feature sample, the corresponding monitored object information, the real-time feature data and the mismatching case are sent to a display center for alarm display. The monitor method overcomes defects of single monitoring and difficulty in unified management in the prior art, and has the characteristics of comprehensive monitoring and convenient management.

The invention relates to the technical field of information safety, in particular to a safety management center capable of conducting collaborative analysis. The safety management center is composed of a safety event management module, a safety service module, a control center, a safety policy library, a log database and an internet cooperation module. Whether the collaboration of other safety management centers is needed is judged through the internet cooperation module with the combination of the self working task; if collaboration is needed, communication with other safety management centers is conducted, relevant data are transmitted, and the safety management center capable of conducting collaborative analysis asks the other safety management centers to help the safety management center to complete the tasks such as safety thread conformation. The safety management center capable of conducting collaborative analysis solves the collaborative analysis problem of the safety management center and capable of being used for information safety management.

The invention provides a detection jig, which comprises a carrying table and a testing signal output device. The detection jig is characterized by also comprising a position adjusting mechanism, wherein the position adjusting mechanism is used for adjusting an inclining angle of the carrying table, the carrying table comprises a plurality of carrying parts, each carrying part is used for carrying a to-be-detected display panel which is arranged on the corresponding carrying part, and the testing signal output device is used for respectively providing testing signals for a plurality of display panels which are arranged on the corresponding carrying parts. The detection jig is suitable for detecting the high-PPI (pixel per inch) display panels.

The embodiment of the invention provides a method and apparatus for identifying abnormal clicking of an advertising space, and relates to the field of computer technology. The method includes the steps of obtaining a clicking matrix according to the obtained clicking log data of the advertising space to be identified, inputting the clicking matrix in a prediction model to obtain the score of the clicking matrix, wherein the prediction model is used to calculate the score of the abnormity of a clicking matrix, and determining the probability that the clicking of the advertising space to be identified is abnormal according to the score of the clicking matrix. The technical problems of inaccurate result due to that the situation of the advertising space itself is not taken into consideration and inability to determine the abnormal clicking behavior can be solved. The determination accuracy is improved, the technical effect of multi-dimensional abnormal clicking behavior identification is achieved. Comprehensive determination of clicking of advertising spaces in different coordinates in a webpage is facilitated.

The invention relates to a method for acquiring high temperature characteristics of iron ore powder in a sintering process, belonging to the technical field of sintered ore powder monitoring. By adopting the CaO reagent, a sampling device, a sample mixer, a sample container and a high-temperature confocal microscope are utilized to acquire the high temperature characteristics of iron ore powder in the sintering process. The method comprises the following steps: respectively making -100 mesh powders from the iron ore powder and the CaO reagent in the sampling device, evenly mixing in the sample mixer to form a sample, and putting the sample on a platinum sheet; putting the platinum sheet to the bottom of an Al2O3 crucible, and putting the Al2O3 crucible under the high-temperature confocal microscope for observation; raising and lowering the temperature under the temperature schedule of simulating sintering temperature in the air atmosphere; and observing the reaction process of the iron ore powder and the CaO reagent, and determining the initial liquid-phase formation temperature and the liquid-phase solidification finish temperature according to the phenomena. In the invention, since the process is visible, the judgment on the key temperature spots is more accurate; since the whole process is observed, the judgment is more comprehensive, thereby reducing the times of tests and being beneficial to analysis on high temperature characteristics of different iron ore powders and realization of scientific optimal ore proportioning.

The invention discloses a myocardial infarction triple rapid detection kit and a preparation method for the myocardial infarction triple rapid detection kit. The kit is formed by taking novel heart markers, that is, human myeloperoxidase (MPO) and heart fatty acid binding protein (FABP3) as basis, and matching with any of myocardial infarction markers CRP (C reactive protein), cTnI and Lp-PLA2. The kit is characterized by being capable of warning myocardial infarction diseases much earlier compared with the existing gold-label kit, and capable of warning the risk of the whole process before and after the occurrence of myocardial infarction. The kit is composed of a test paper card and a colour comparison card or a colloidal gold quantitative reading meter, wherein an anti-MPO specific antibody, an anti-FABP3 specific antibody and a colloidal gold pad resisting to any of other myocardial infarction markers are labelled on the test paper card simultaneously; and novel myocardial infarction markers are detected simultaneously by a colloidal gold immunochromatography technology at the first time, and the kit has the characteristics of being capable of realizing early warning and whole-course monitoring, simple and convenient to operate, rapid, suitable for field detection, economical and practical, and the like.

The invention discloses a breast ultrasonic screening method which comprises the following steps: acquiring a depth image of a chest area of a user; performing model reconstruction according to the depth image so as to obtain a three-dimensional structure model of an area to be scanned, and generating a scanning track of an ultrasonic probe according to the three-dimensional structure model; generating a motion control code according to the scanning track, and inputting the motion control code into a scanning mechanism to control the scanning mechanism to drive the ultrasonic probe to conductultrasonic scanning on the breast area of the user; analyzing and processing the obtained ultrasonic image, and generating diagnosis results. With the help of automation technology and artificial intelligence technology, the breast ultrasonic screening method disclosed by the invention can make mass screening of breast cancer with low cost in a large scale possible, greatly increases the proportion of Chinese women of right ages to participate in breast cancer screening and contributes to prevention and control of breast cancer.

The invention discloses a method and a device for determining the consumption contribution value and a storage medium. The method comprises the following steps of determining a commodity purchasing span based on a commodity purchasing historical order and a cross-type purchasing order proportion; determining a commodity purchasing frequency according to the commodity purchasing historical order and the purchasing time corresponding to the commodity purchasing historical order; determining a commodity purchasing value according to a commodity purchasing total amount corresponding to the commodity purchasing historical order and a total gross profit; and determining the consumption contribution value of a user according to the commodity purchasing span, the commodity purchasing frequency andthe commodity purchasing value. According to the method, the device and the storage medium, the influences of the cross-type purchasing behavior, the purchasing quantity, the purchase frequency, therecent activeness, the enterprise contribution gross profit and the enterprise sales on the consumer value measurement are comprehensively considered. Therefore, the contribution value of each consumer to the enterprise can be positioned and judged more comprehensively, more scientifically and more accurately. The method and the device formulate differentiated marketing strategies for different consumer types.

A coal mining face supporting robot comprises a supporting part, a traveling part, a controller and intelligent sensors of various types. The supporting part is used for completing rising and lowering of the supporting robot to effectively support a coal mining face top plate, the traveling part is used for completing free migration of the supporting robot, and the controller realizes supporting control of the supporting robot according to collected data of the intelligent sensors. A novel method is provided for posture sensing and control of the supporting robot, autonomous control of the intelligent sensors and comprehensive application of data of the sensors; communication between the controller and each intelligent device of the supporting robot and equipment interconnection are realized in a wireless manner, so that cable connectors for the controller and matched equipment are reduced, convenience is brought to extension of the matched equipment, system simplification is realized, cost is lowered, and system reliability is improved.

The invention discloses a defective pixel detection and correction method and device, a storage medium and a terminal, and the method comprises the steps: moving a sliding window pixel by pixel in a to-be-detected image, and calculating the detail density corresponding to a central pixel through the pixel value of each pixel in the sliding window; after the sliding window is moved, determining a defective pixel threshold coefficient corresponding to the central pixel at least according to the detail density corresponding to the central pixel; after the sliding window is moved, dividing the sliding window into a plurality of sub-windows, calculating a defective pixel threshold range corresponding to each sub-window according to the pixel value in each sub-window and the defective pixel threshold coefficient corresponding to the central pixel, and comparing whether the pixel value of the central pixel falls into the defective pixel threshold range corresponding to each sub-window or not;and after the sliding window is moved, determining whether the central pixel is a defective pixel or not according to a comparison result of the central pixel and the defective pixel threshold rangecorresponding to each sub-window until the to-be-detected image is traversed. According to the technical scheme, the accuracy of defective pixel detection can be realized.

The invention provides a device for detecting joint swelling parameters of a patient, which includes a housing, a take-up wheel assembly, an angle sensor, an acquisition circuit module and a wireless communication module arranged in the housing, and the disease can be detected through simple operations. The difference in wheel shaft rotation angle corresponding to the affected joint, as a disease parameter representing the joint swelling of the patient, has a reliable reference significance, and is easy to use and operate, and can be used for self-service detection by the patient, so as to realize the remote diagnosis of rheumatoid disease. The technical goal of monitoring and remote condition nursing provides the basis for the technical realization of condition parameter information collection; meanwhile, the present invention also provides a detection method and a detection system using the above-mentioned patient's joint swelling parameter detection device for detection operation, which is convenient for patients to monitor the patient's joint swelling. At the same time, it is convenient for doctors to obtain the patient's condition parameter data information, so as to remotely care for the patient's condition or make diagnosis and treatment judgments.

The invention relates to a CTG fetal heart rate scoring method and system. The CTG fetal heart rate scoring method comprises the following steps that fetal heart data processing is carried out, specifically, signal acquisition and calculation of a fetal heart rate and uterine contraction values are conducted to obtain fetal heart rate data, uterine contraction pressure data and fetal movement data; and fetal heart scoring is carried out, specifically, the fetal heart rate data and the uterine contraction pressure data obtained in the fetal heart data processing step are received, interferenceremoval and noise processing are sequentially carried out on the received data based on a CTG scoring algorithm, a fetal heart rate baseline is calculated, uterine contraction activity is calculated,acceleration and deceleration activities are analyzed and judged, amplitude variation is calculated and cycle variation is calculated, analysis results are obtained, and corresponding scores are obtained according to the analysis results. The CTG fetal heart rate scoring method and system have the beneficial effects that the analysis and judgment of the fetal heart rate and the uterine contractiondata are more perfect, and the scoring result is more accurate.

The invention discloses a mining influence tunnel dynamic monitoring and stability evaluation method which comprises the following steps: step 1, arranging a high-precision micro-seismic monitoring system and an introscope; step 2, collecting data before mining influence; step 3, collecting data after mining influence, wherein the specific implementation steps of the step 3 are the same as those of step 2; step 4, analyzing the stability of surrounding rock, namely respectively calculating to obtain a surrounding rock rupture range increase rate, a surrounding rock rupture energy increase rate, a surrounding rock rupture event unit volume density increase rate and a surrounding rock rupture degree increase rate based on a surrounding rupture position, surrounding rack rupture energy, surrounding rock rupture times and surrounding rock rupture degree before and after mining influence; step 5, quantitatively evaluating the tunneled tunnel stability below a coal pillar of mining influence, namely, based on surrounding rock evaluation values obtained in the step 4, establishing quantitative evaluation indexes of tunnel tunneling stability under mining influence by use of a weight analysis method, and performing quantitative evaluation on the tunneled tunnel under mining influence.

The invention discloses a target tracking method of an elastic updating strategy, which takes a SAMF algorithm as a reference and combines an APCE threshold value and an APCE gradient threshold valueon the basis of an average peak correlation energy (APCE) to judge the reliability of the tracking result so as to determine the model updating speed. The APCE threshold is enhanced inversely and theAPCE gradient threshold is enhanced positively, and the APCE and APCE gradients are updated when the APCE and APCE gradients are higher than the respective thresholds, otherwise the update rate is adjusted according to the APCE and its gradient variation. The gradient change of APCE is used to fully reflect the change of the disturbed process of the target. Based on this, different update rate, i.e. Elastic update strategy, is adopted to achieve better processing ability for the fast movement and partial occlusion of the target.

The invention belongs to the technical field of fire detection, solves a problem that judgment for a burning area in the prior art is too complicated and inaccurate, and particularly relates to a method for judging a burning area of an object in a complex environment. The method comprises the steps of firstly performing image preprocessing, then calculating an expected maximum return value of a flame image sample, then building a weight updating equation of a deep learning network, then training the deep learning network, and finally recognizing the flame by using the trained deep learning network. Compared with the prior art, the method has the characteristic of deep learning and is comprehensive in burning area judgment, high in operability and more accurate and faster in judgment for aburning area.

The invention provides a monitoring method for real-time working conditions of a catalytic reforming device, wherein the method comprises the steps: constructing a historical data set according to historical data of the catalytic reforming device; calculating a control limit value for judging whether the working condition of the catalytic reforming device is abnormal or not according to the historical data set; acquiring real-time operation data of the catalytic reforming device, and acquiring a real-time result of working condition monitoring based on the real-time operation data; obtaining acomparison result of the real-time result and the control limit value, judging whether the working condition is abnormal or not according to the comparison result, and obtaining an abnormal reason ifthe working condition is abnormal; and directly analyzing and calculating a control limit value for judging whether the working condition is abnormal or not from the historical data, and judging thereason of the abnormal working condition by constructing a directed graph. Compared with a mode of setting fixed limitation purely according to experience, the abnormal condition of the real-time working condition can be judged more comprehensively and quickly, and the defect of improper setting of the fixed limitation is avoided.

The invention discloses a remote health monitoring method for home-based care services. The method comprises the following steps that 1, a portable terminal is worn on the aged and used for detecting body surface health data of the aged; 2, an indoor health examination device is installed and used for detecting body indication data of the aged, and the body indication data of the aged are different from the body surface health data of the aged or comprise the body surface health data of the aged; 3, body surface health data of the aged are acquired; 4, the body surface health data of the aged are judged, the aged is reminded to use the indoor health examination device to perform health examination or inform a medical institution for visiting diagnosis according to a judged result. According to the remote health monitoring method for the home-based care services, the body health of the aged is preliminarily judged by collecting the body surface health data of the aged, when it is discovered that the body health data of the aged are seriously disordered through preliminary judgment, the medical institution is informed in time for the visiting diagnosis, a health examination result of the indoor health examination equipment is not waited, therefore, the illness condition of the aged is prevented from being delayed, and the safety of remote health monitoring on the aged is improved.

The invention discloses a breast point cloud segmentation method. The method comprises the steps of obtaining three-dimensional point cloud data; deleting the point cloud corresponding to the bed plane area from the three-dimensional point cloud data according to a preset condition to obtain a chest area point cloud; determining an upper segmentation boundary and a central segmentation boundary ofthe chest through offline calibration; upwards constructing a horizontal tangent plane according to a preset height increasing value until the point cloud on the horizontal tangent plane meets a boundary segmentation condition, and fitting the point cloud on the current horizontal tangent plane into an axilla segmentation boundary; constructing a chest lower side segmentation boundary according to the chest upper side segmentation boundary; and extracting a chest scanning area point cloud. According to the technical scheme, the point cloud of the breast area can be quickly and accurately segmented to obtain the three-dimensional space information of the breast area, so that a basis is provided for subsequent scanning trajectory planning.

The invention discloses a method and a terminal for identifying a to-be-rescued person. The method comprises the steps of judging whether a first feature set of a to-be-identified person in a monitoring video can be successfully identified or not, wherein the identified first feature set meets a first preset condition within a preset time length; if yes, judging that the to-be-identified person isa to-be-rescued person; if not, continuing to obtain a second feature set of the to-be-identified person, judging whether a feature meeting a second preset condition exists in the second feature setor not; if yes, judging that the to-be-identified person is a to-be-rescued person, judging whether the to-be-identified person is a to-be-rescued person or not according to different feature sets, comprehensively judging the to-be-identified person, avoiding omission of the to-be-rescued person, and improving comprehensiveness and accuracy of judging whether the to-be-rescued person is a to-be-rescued person or not.

A navigation system for a movable body is provided with: a current position detection device (2) for detecting a current position of a movable body; a map information presentation device (3) for presenting map information corresponding to the detected current position; a route condition information presentation device (4) for presenting route condition information indicating a current condition of a route on which the movable body is driving; and a driving route presentation device (6) for performing a presentation indicating that the movable body can overtake, in case that the movable body on the route can overtake on the basis of the presented map information and the presented route condition information.

The invention discloses a voice quality enhancement method applied to a satellite communication network. An automatic testing system consists of a monitoring server deployed at a master station terminal, a VQE (Voice Quality Enhancement) module and a testing terminal deployed at each small station terminal based on an interactive satellite communication network. The quality monitoring of the master station on voice calls of each small station is implemented through the satellite network entire-network deployment-based automatic testing system. The monitoring server calculates the priority of calls of the small stations by a VQE allocation algorithm and defines a high-priority small station as a station with low voice call quality; the system automatically opens a VQE channel for the high-priority small station and implements voice call quality enhancement of the small station. The voice quality enhancement method has the advantages of providing voice quality enhancement for a small station user with poor channel environment and poor call environment and considering the equity of a VIP small station user.

The invention discloses an acquisition processing method of fingerprint images and a device. The method and the device are used for improving fingerprint acquisition speed, thereby avoiding a condition of mis-acquisition or mistakenly considering that a machine crashes. The method comprises steps of after starting fingerprint acquisition, generating a frame of fingerprint image according to an acquired fingerprint; when determining that any one of the standard difference, the average gradient and space frequency of the frame of fingerprint image is smaller than a corresponding preset threshold value, restarting the fingerprint acquisition, and taking the frame of fingerprint image as a to-be-judged fingerprint image until determining that the standard difference, the average gradient and space frequency of the frame of fingerprint image are larger than or equal to the corresponding preset threshold values; determining whether the to-be-judged fingerprint image is a qualified fingerprint image and finishing the fingerprint acquisition of this time after determining that the to-be-judged fingerprint image is the qualified fingerprint image; and restarting the fingerprint acquisition when determining that the to-be-judged fingerprint image is an unqualified fingerprint image.

The invention provides a Western silverware stamp identification method based on deep learning, and belongs to the technical field of image recognition. A deep neural network is trained by a manuallylabeled sample. The neural network obtains judgment of producing area and year information by learning stamping characteristics, and the style and the condition of a silverware are directly and comprehensively known and judged.

The invention discloses a visual field expanding system for a car driver. The visual field expanding system for the car driver comprises a blind area integrating rearview mirror, a flexible display device, a car backing auxiliary imaging device, a wide-angle auxiliary imaging device and a processor, wherein the processor is connected with the car backing auxiliary imaging device and a rearview auxiliary imaging device, is used for controlling the rotation angles of the car backing auxiliary imaging device and the rearview auxiliary imaging device, and is convenient for a car driving driver to expand the observation visual fields of the front original lane, adjacent lanes and the road condition; the problem that a car body frame between frontal car glass and side car glass causes the visual blind area to the driver is solved. The invention also provides a visual field expanding method for the car driver. A fuzzy PID (Proportion Integration Differentiation) control system is adopted for the control method; the direct control on the system is completed by a parameter controllable type PID controller; not only are the visual field expanding system and the visual field expanding method for the car driver simple and practical, but also the response speed is fast, the overshoot is small, and the control effect is good.

The invention relates to a sensitive word filtering method. The sensitive word filtering method is characterized in that a Chinese judgmental algorithm is adopted; sensitive word judgment is performed by adopting a maximum forward matching algorithm; interpretation is conducted on continuous repeated words, forward detection is adopted, and if two repeated words exist, a detection repeating mode is executed till the requirement for the minimum number of the repeated words is met. Whether domain names are characteristic continuous character strings or not is judged. In addition, the sensitive words meeting the filtering demand in the method undergo filtering processing, otherwise, the sensitive words are released. Therefore, comprehensive sensitive word judgment and filtering can be achieved by proceeding from Chinese words and phrases and combining various characters, such as emails, cell-phone numbers and web sites. What's more important is that after the sensitive word filtering method is adopted, automatic continuous repeated word interpretation and detection without artificial participation, analysis of emails, cell-phone numbers and web sites, matching of continuous character strings and automatic comparison of sensitive word dictionaries can be achieved by adopting a software matching algorithm, the accuracy of website data is improved, and especially the verification efficiency of users' comments is improved.