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 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 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 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.

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 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 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.

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 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.