81results about How to "To achieve effective detection" patented technology

The invention discloses a method for handling radio link failure, comprising the following steps that: a relay node (RN) detects RLF (radio link failure) of an Un interface according to a preset RLF detection judging condition; the RN chooses to return back to a radio resource control (RRC) idle state when detecting that the UN interface has RLF, and rebuilds a RRC connection of the Un interface performing a random access operation again, or chooses to recover the RRC connection of the Un interface through a RRC connection rebuilding program under a RRC connection state. The invention further discloses a relay node. With the method and the relay node provided by the invention, effective detection on the RLF of the Un interface by the RN is implemented, and the RLF is handled well.

The invention discloses a semi-supervised mechanical fault diagnosis method based on an adaptive migration neural network, and the method comprises the steps: firstly obtaining a plurality of source domain fault data sets composed of source domain fault training samples and corresponding tags, and a plurality of target domain fault data sets composed of target domain fault data without tags, wherein the target domain fault data is divided into a target domain fault training sample and target domain fault test data; normalizing the data; constructing an adaptive migration neural network diagnosis model, supervising the training model and constructing a classifier loss function by using the source domain fault data set, constructing a classifier discrimination loss function, and performing adversarial training on the feature extractor and the classifier by using the target domain fault training sample; inputting the target domain fault test data into the trained model, and summing and averaging the two output probability values to obtain a final classification diagnosis result. The method can improve the discrimination capability of the fault data of the target domain, and effectively improves the intelligent fault diagnosis task under the actual variable working condition.

The invention discloses a method for manufacturing a high-strength X100 steel grade spiral seam submerged arc welded pipe. The method comprises the following steps: uncoiling, flattening, edge milling, pre-springing, molding, inside welding, outside welding, pipe end belling, base metal layering ultrasonic examination, weld seam X ray inspection, hydrostatic test, weld seam ultrasonic inspection, pipe end chamfering and finished product inspection. In the technical steps of the preparation method, double edge milling process, pre-springing process and pipe end belling process are added so as to successfully solve the technical problems that the high-strength X100 steel grade spiral seam submerged arc welded pipe has poor molding stability, the welding joint performance cannot meet technical requirement and the like.

The invention provides a method for detecting a long-distance barrier and belongs to the technical field of robots. The method particularly comprises the following steps: image acquisition, image pre-processing, scene image segmentation, appearance characteristic extraction, topographic pattern judgment, topographic sample database maintenance, topographic pattern statistics modeling, statistics model parameter training and statistics model inference. The invention achieves the effective detection of a multi-mode barrier, improves the accuracy of barrier detection under the condition of unbalanced samples and improves the adaptability of the barrier detection to the changes in online real-time scenes; the topographic pattern modeling integrates the independent smooth characteristic functions and eliminates the pattern ambiguity caused by characteristic overlapping; the topographic pattern modeling integrates the correlation smooth characteristic functions and improves the online self-adaptability of the barrier detection results to the changes in real-time illumination; and the topographic pattern statistics modeling not only integrates the characteristics of the scene areas, but also theoretically integrates the spatial relationship between the scene areas and improves the stability of barrier detection under the condition of mapping deviation.

The invention discloses a video heart rate detection method removing interference of ambient light variation. Firstly a face area-of-interest data set and a background area data set are obtained, a united blind source separation technology is utilized to process the two data sets, and signal sources of ambient light variation that the data sets both have are extracted and set to zero, thereby obtaining a face area-of-interest data set free of interference of ambient light variation; secondly, face area-of-interest data of an optimal color channel is selected, and an ensemble average empirical mode decomposition method is utilized to obtain intrinsic mode components; and then all local intrinsic mode components of which frequency corresponding to maximum amplitude values are in a set heart rate range are determined to be a candidate intrinsic mode component set, the intrinsic mode component corresponding to the largest maximum amplitude value is determined to be the optimal intrinsic mode component, and a video heart rate is obtained through a peak detection algorithm. The video heart rate detection method provides a relatively accurate algorithm for non-contact heart rate detection, and has important application prospects in the aspects of clinical disease diagnosis and daily medical care.

The invention relates to neutral line breakage detection protection method and device, belonging to the technical field of low-voltage system protection. An object of the method and the device is a low-voltage distribution system containing single-phase load. The device comprises a current transformer, a relay, a one-shot reclosing device, a circuit breaker and external accessories thereof. The method judges whether a neutral line is broken by detecting the current condition on the neutral line twice before the tripping of the circuit breaker and after the tripping of the circuit breaker, a power supply is automatically cut off when the neutral line is broken, and an audible and visual alarm is given. The invention has the advantages of a few components, simple circuit and easy realization, not only can effectively detect the breakage fault of the neutral line and cut off the power supply, but also can detect and judge whether the operation of three-phase loads is temporally balanced under the condition that the neutral line is intact.

The invention discloses a class attendance abnormal detection method based on illumination generation antagonism network, includes collecting real class head posture data, rendering illumination classhead posture data, building illumination generation antagonism network, generating antagonism samples, building head posture detection model, class head posture detection, class attendance abnormal detection. By using the depth neural network, the invention improves the positioning accuracy of the head area and reduces the interference of the non-head area to the judgment of the non-attending state.

The invention discloses an acid-proof X70MS steel-grade spiral welded pipe and a manufacturing method thereof. The spiral welded pipe is made of X70MS steel-grade plate coils. The processing process for the spiral welded pipe comprises the following steps of: uncoiling, flattening, milling edges, prebending, molding, internally welding, externally welding, expanding the end of the pipe, performing laminated ultrasonic inspection on a base material, performing X-ray inspection on welding seams, performing a hydrostatic test, performing ultrasonic inspection on the welding seams, chamfering theend of the pipe and inspecting a finished product. The X70MS steel-grade spiral seam submerged-arc welding pipe has high intensity and high acid resistance and is suitable for conveying acid oil gas media.

The embodiment of the invention provides an intelligent network attack detecting method and device. The intelligent network attack detecting method comprises the steps of converting a feature set of a preset system into a function and importing the function into a mathematic model of an established learning system; obtaining the base of the feature set and a network protection feature set through a sparse algorithm; establishing a recurrent neural network, extending and reasoning base functions in the network protection feature set for early warning new varietal network attack data packets; establishing a convolutional neural network to judge whether a to-be-detected data packet is harmful data; and adjusting the combination and the number of the base functions based on the judgment result made by the preset system for the to-be-detected data packet and the judgment result made by the learning system for the to-be-detected data packet so as to evolve the mathematic model of the learning system. As the new varietal network attack data packets can be early warned through self-learning and self-adaptive abilities, the network attack detecting way has extension automation and intelligence.

The invention discloses a sandstone oil and gas carrier bed geophysics-geology-geochemistry detection method and a sandstone oil and gas carrier bed earth physical-geological-geochemistry detection device, wherein the method comprises the following steps that a buoyancy model is built according to the actual measured density differences of oil, gas and water of underground oil-gas reservoirs; through combining the rock core analysis and logging curves, a sandstone shale content, porosity, permeability and displacement pressure model is built; an oil and gas conveying sealing surface is determined according to displacement pressure curves; sandstone layer sections with the buoyancy greater than the displacement pressure are detected, and possible carrier beds are sieved; through combining test results on hydrocarbons by oil-gas geology and geochemistry, the effective sandstone carrier bed is determined. The method and the device provided by the invention have the advantages that through combining the borehole geophysics, geology and geochemistry theories and technology, according to the oil and gas accumulation dynamics principle, the effective detection on the sandstone carrier bed is realized, so the scientificity on the oil-gas reservoir petroleum geology study is improved.

The invention discloses a detection robot for a high-voltage cable. A robot body and the cable are included; the robot body is internally provided with a microprocessor, a wireless emission module, a video collection module, an electric leakage detection module, a damage detection module, a driving mechanism, a memory and a GPS positioning module; the memory and the GPS positioning module are connected with the microprocessor; the output ends of the video collection module, the electric leakage detection module and the damage detection module are connected with the input end of the microprocessor; the output end of the microprocessor is connected with the output ends of the wireless emission module and the driving mechanism; the video collection module comprises a camera; and the electric leakage detection module comprises a current sensor. A pressure sensor and the current sensor detect whether damage and electric leakage occur in the surface of the cable, the high-voltage cable is detected effectively, the danger of climbing the cable manually is avoided, the problem of low efficiency is solved, use is very convenient, and operation is simple.

The invention discloses an air conditioner fan failure detection method. The method comprises the following steps: recording the temperature of a fan coil when the state of the air conditioner fan changes as the change temperature, and recording the temperature of the fan coil a preset time period after the state of the air conditioner fan changes as the continuous temperature; judging whether the temperature difference between the change temperature and continuous temperature is less than the preset temperature difference; and if so, judging that the air conditioner fan fails. The invention also discloses an air conditioner fan failure detection device. The method avoids long-time operation of the air conditioner when the fan fails, avoids the problems of overhigh temperature of the indoor fan coil, poor refrigerating effect or incapability of refrigeration, refrigerant reflux, diluted lubricating oil and the like due to the failure of the air conditioner fan, and prevents the air conditioner from being damaged due to the problem of the fan failure.

The invention provides a machine vision based bamboo strip defect detection method which comprises the following steps of S1, establishing a neural network structure used for bamboo strip recognitionto obtain a recognition model used for recognizing the yellow-green face of a bamboo strip; S2, collecting an original image of the bamboo strip to be detected; S3, performing normalized processing onthe original image of the bamboo strip to be detected; S4, performing feature extraction on image data after normalized processing; and S5, inputting features extracted in the step S4 into the recognition model in the step S1, judging the condition of the yellow-green face of the bamboo strip image, and performing defect detection of bamboo greenness and left blank according to a judgment resultrespectively. The invention provides the machine vision based bamboo strip defect detection method which can rapidly recognize and classify the bamboo strip. The machine vision based bamboo strip defect detection method is simple and feasible, can relatively rapidly realize effective detection of the bamboo strip under the condition of invariable illumination condition, increases the automation degree of bamboo product processing and improves the industrial production efficiency.

A high spectral image object detection method based on tensor principal constituent analysis dimension reduction is provided; an existing high spectral image object detection method cannot fully consider enhanced space constraint characteristics under high resolution conditions, cannot excavate information from the three dimensional data integral body, and is low in detection precision; the high spectral image object detection method based on tensor principal constituent analysis dimension reduction can solve said problems, and comprises the following steps: 1, obtaining third order object, third order background and detected third order test sample tensor blocks; 2, obtaining a projection matrix on three dimensions including the object, background and detected test sample; 3, projecting the object, background and detected test sample to a preset tensor subspace; 4, calculating the total distance from each detected test sample to the background and an object template; 5, using the distance ratio as a gray value, and determining the central point pixel as the object if the gray value is bigger than a threshold value, otherwise determining the central point pixel as the background. The method is applied to the image processing field.

The invention provides a mineralized alteration remote sensing information extraction method and device. The method comprises the following steps: first, obtaining remote sensing image data and usingmask technology to process and form basic data; 2, performing histogram calculation on that basic data in a selected area to determine the modeling data, extract abnormal information from the modelingdata by adopting the principal component analysis method, and sequentially cutting and verify the abnormal information by using a normal distribution method and a multiple linear regression method; Thirdly, according to the eigenvector algorithm extracted from the abnormal information, the eigenvector satisfying the check being obtained and mapped to the new abnormal information extracted in a large range as an extracting parameter, and then the new abnormal information is cut and output. This method can realize the striding alteration remote sensing anomaly extraction in different landscapeareas, which is beneficial to the quicker and more accurate selection of prospecting target areas, and can save time and manpower and material resources for mineral resources investigation.

The invention discloses a modified local variance-based vehicle queuing length measurement method. The method comprises the following steps that: S1, a video frame is obtained and is adopted as an image to be detected; S2, a modified local variance-based method is adopted to detect the obtained image to be detected, wherein the image to be detected is a vehicle queue, primary detection of a vehicle queue spot is completed at first, and then, a vehicle queue edge is effectively detected, and finally, the influence of vehicle shadows in adjacent lanes on the vehicle queue spot of a lane to be detected is removed, so that the effective detection of the vehicle queue spot is enriched; and S3, the length of the vehicle queue spot in the image is converted into the length of an actual vehicle queue, and vehicle queuing length measurement is completed. The modified local variance-based vehicle queuing length measurement method of the invention has the advantages of stable performance and full detection results, and can realize the effective detection and length measurement of vehicle queues.

The invention discloses a detection method and device of an application program. The specific embodiment of the method comprises the steps that whether advertisement code information exists in a code file of the application program or not is detected according to an advertisement feature library stored in advance; if the advertisement code information exists in the code file, behavior feature data are obtained from a code method, byte codes and instructions of the advertisement code information; whether risk behaviors are caused by the behavior feature data or not is detected according to a risk behavior library stored in advance; if the the behavior feature data can cause the risk behaviors, the behavior feature data which can cause the risk behaviors are recorded; corresponding operations are carried out according to the behavior feature data which can cause the risk behaviors. In this way, the application program, containing advertisement information, of a terminal can be detected rapidly, and the advertisement information which can cause the risk behaviors can be accurately detected.

The invention relates to the field of system communication scheduling algorithms, in particular to a system communication scheduling algorithm based on a Canbus. According to the specific scheme, the system communication scheduling algorithm is achieved through the following steps of firstly, sending address statements to a monitoring box when sub-devices are powered on, and sending address statement request commands to the sub-devices when the monitoring box is powered on; secondly, when receiving the address statement commands sent by the monitoring box, enabling the powered-on sub-devices to start the address statements which need to be responded to after random delay is conducted. By means of the steps, the system communication scheduling algorithm solves the address automatic distribution problem and the address conflict problem between the sub-devices and solves the problem that the operation control and the running state monitoring of all node devices can not be monitored in time; the Canbus can report device alarms in time when the number of online communication nodes is large, protection control can be conducted according to the alarms, the online state and the connection losing state of online devices can be effectively detected through the Canbus, and device display control over multiple nodes can be achieved through the Canbus.

The invention provides a hyperspectral image target detection method based on tension linear discrimination analysis dimension reduction. The objective of the invention is to solve problems that in the current hyperspectral image target detection method, characteristics of spatial constraint enhancement under the condition of high scores are not fully considered, information excavation cannot be performed on the whole three-dimensional information and the detection precision is quite low. The method comprises steps of 1, acquiring three-order target tension blocks, three-order background tension blocks and three-order to-be-detected test sample tension blocks; 2, allowing sub-space after the projection of the target tension blocks, the background tension blocks and the to-be-detected test sample tension blocks to have the biggest separability; 3, projecting the target tension blocks, the background tension blocks and the to-be-detected test sample tension blocks to a tension sub-space with the biggest separability; 4, calculating the total distance from each to-be-detected test sample to the background and the target; and 5, setting a threshold value and if the gray scale value is larger than the threshold value, determining the pixel of the central point as the target, or else, determining pixel of the central point as the background. According to the invention, the method is applicable to image processing field.

The invention relates to the technical field of image processing, and provides an image imaging jitter compensation method, system and device, and the method comprises the steps: installing a gravitysensor at a parallel position of a camera assembly, and obtaining the jitter acceleration data of the camera assembly in real time through the gravity sensor; adopting an SOC chip as a main control module, and utilizing the operation function of the SOC chip to perform logic operation on collected moving images and jitter acceleration data to obtain correction coordinates of a target object. According to the invention, the simple and low-cost gravity sensor is additionally arranged, so the shaking displacement of the target object is effectively detected; the SOC chip with highly integrated circuits and comprehensive functions is adopted to perform data operation, and direct output from moving images and jitter acceleration data to correction coordinates is realized, so the effective compensation of jitter displacement of a target object is realized on the basis of ultra-low manufacturing cost, and the accuracy of image imaging is greatly improved.

The invention relates to a malicious encrypted channel detection method based on process behavior analysis. The method comprises the following steps: step 1, acquiring encrypted session flow data and classifying processes; comprising the steps of encrypted traffic data acquisition, preprocessing and process classification; 2, constructing a process file encryption communication behavior feature tree; constructing a three-level feature tree of a meta feature of the encrypted session, namely an IP layer, a TCP segment load length sequence feature, namely a TCP layer, and an SSL message state transition feature, namely an SSL recording layer; step 3, anomaly detection based on the feature tree; comprising the steps of collecting normal encrypted communication behavior data; constructing a normal encryption communication behavior benchmark; constructing a target PEF encrypted communication behavior model; calculating the dissimilarity degree between the feature trees; and performing anomaly detection based on a threshold value. By means of an anomaly detection method, the limitation that malicious encrypted channels are detected purely from the session level is broken through, and effective detection of malicious process files is achieved.

The invention discloses a constructional engineering quality acceptance intelligent detection management system based on big data analysis, and the system comprises an outer wall detection point laying module, an outer wall structure layer thickness detection module, a storage database, an outer wall structure quality coefficient analysis module, an outer wall flatness analysis module, an outer wall structure detection terminal, a central server, and a display terminal. The external wall structure is detected through the designed external wall structure detection terminal, the external wall structure parameters are obtained, meanwhile, the external wall structure quality influence coefficient and the wall surface flatness coefficient are intelligently analyzed, then the external wall comprehensive quality evaluation coefficient is obtained, and effective detection of the building external wall quality parameters is achieved; according to the method, the comprehensive quality of the building external wall can be intelligently evaluated, meanwhile, the obtained external wall comprehensive quality evaluation coefficient achieves quantification of the quality of the building external wall, a parameter basis is provided for judging whether the building external wall meets the acceptance requirement, and the defects existing in the manual acceptance process mentioned in the background technology are overcome.

The invention relates to the field of control over the perpendicularity of drilled pile bodies, in particular to a device and method for rapidly and precisely measuring the perpendicularity of a drilled pile body. By applying the device, the problem that the pile-diameter perpendicularity after hole forming of an existing drilled pile cannot be measured effectively can be solved, the blanks of theprior art are filled up, and the construction quality of the drilled pile is improved. The device comprises a centered connecting plate and four measuring rulers fixed to the centered connecting plate and having measuring ruler scale values, the central lines of two of the measuring rulers are located on the same straight line and are in the same direction as the transverse radial direction of asteel casing, the central lines of the other two measuring rulers are located on the same straight line and are in the same direction as the longitudinal radial direction of the steel casing, and thetwo measuring rulers located on the transverse radial direction of the steel casing are perpendicular to the two measuring rulers located on the longitudinal radial direction of the steel casing. Themeasuring process of the method is simple, the perpendicularity can be measured rapidly and precisely, operability is high, the measuring result is more accurate, and the construction quality of the pile body is ensured. The manufacturing cost of the complete device is low, recycling can be achieved, and thus the construction cost is lowered.

The invention discloses a method and a device for detecting MP3 file authenticity. The method comprises the steps of: extracting the horizontal curve fluctuation characteristic value of an MP3 file to be detected after Fourier transform of a quantized and improved MDCT (Modified Discrete Cosine Transform) coefficient histogram sequence; and comparing the horizontal fluctuation characteristic value with a preset threshold, and if the value is larger than the preset threshold, determining that the MP3 file is subjected to dual compression. According to the method and device provided by the invention, through analyzing MP3 quantized MDCT coefficient statistic distribution, and the curve fluctuation characteristic after Fourier transform of the quantized MDCT coefficient histogram sequence is extracted, so that dual MP3 compression is effectively detected, judgment and comparison are carried out by a one-dimensional characteristic only, and the detecting accuracy is improved.

The invention discloses a method for detecting reliability of writing frequency of an EEPROM. The method comprises the following steps: (1) sending starting commands via an upper computer; (2) enabling the upper computer to start carrying out writing operation on the EEPROM; (4) reading and verifying results of the writing operation via a lower computer; (4) judging whether data is correct or not,returning to the step (2) and carrying out a next cycle if the results are correct, and sending final results to the upper computer if the results are incorrect; and (5) actively reporting the commands to the upper computer via the lower computer after the cycle of the writing operation is ended, and receiving the commands via the upper computer, thus completing detection. Compared with the priorart, the method is capable of effectively detecting the reliability of the writing frequency of the EEPROM; the whole self-detection process is completely and automatically carried out by a system without manual participation; the problem that the writing frequency cannot be casually detected and the reliability of the writing frequency cannot be verified when the EEPROM is provided in batches inthe prior art can be solved; the quality and the reliability of products can be greatly improved.

The invention discloses a detection reagent and a detection method of alpha-amylase. The detection reagent comprises 10mmol / L-40mmol / L of malt pentose, 1000U / L-5000U / L of alpha-glucosidase, 10mmol / L-30mmol / L of calcium chloride and 1mmol / L-50mmol / L of a buffer solution. The detection method comprises the following steps: adding an alpha-amylase solution into the detection reagent and performing catalytic reaction to obtain a reaction product; detecting the reaction product by virtue of a portable glucose detection instrument; recording the readings of the detection instrument; and calculating the concentration of the alpha-amylase solution. The detection reagent can quickly and quantitatively detect the alpha-amylase; the detection method is easy and convenient to operate, quick, high in sensitivity and good in selectivity, the used instrument is portable, and the alpha-amylase can be quickly detected by people who do not accept professional training.

The embodiment of the invention creatively provides a feature information analysis method and device. The method comprises the steps of obtaining a plurality of data messages in a to-be-analyzed session; extracting a feature value of a preset session feature from each data message; and calculating the feature values to obtain the session feature information of the to-be-analyzed session. In the embodiment of the invention, the session is used as a basic analysis unit and is integrally analyzed, and the session feature information capable of comprehensively reflecting the session is obtained. The embodiment of the invention further provides a network attack detection method and system which detect a network session attack in a preset time interval according to the session feature information of the to-be-analyzed session acquired in the preset time interval, the problem that the session attack in the network cannot be detected based on the feature information of the data flow in the prior art is solved, the session attack in the network is effectively detected, and the completeness of network attack detection is improved.

The purpose of the present invention is to provide a dynamic detection and evaluation method for connection states of joints in a pile beam structure. The pile beam structure comprises a plurality of pile beam connection portions formed by pile foundation sections and beam sections. The method comprises the following steps: determining layout positions of a plurality of detection points on each connection portion, and installing a detection device on the pile beam structure for monitoring each detection point; determining a corresponding vibration point according to the layout position to generate a vibration wave through the vibration point; and according to the time when the vibration wave reaches to each detection point and which is detected by the detection device, and the layout position, respectively obtaining the propagation velocity of the vibration wave on each beam section and the propagation velocity of the vibration wave from each beam section to the corresponding pile foundation section, and analyzing the propagation velocity of the vibration wave according to the mathematical statistics method to obtain an abnormal velocity threshold, so that the abnormal pile beam connection portion can be determined, and detection and evaluation can be carried out on the abnormal pile beam connection portion. Compared with the prior art, the method provided by the present invention can implement effective detection on the connection state of the pile beam structure and evaluation on overall structural performance of the pile beam structure.

The invention discloses an on-line automatic detection method and an on-line automatic detection system for foreign matters in transparent bottled liquid products, which belong to the technical fieldof the detection of foreign matters in bottled liquid products. According to the on-line automatic detection method for the foreign matters in the transparent bottled liquid products disclosed by theinvention, as bottles are conveyed on line along a conveyer line, the bottles are rolled over, and as the bottles are rolled over, the image information of the bottles is acquired; image processing iscarried out for the image information, and whether the foreign matters exist in the bottles is then judged. The automatic detection system comprises a conveyer line, a rollover mechanism, an image acquisition device, and an image processing system. By arranging the rollover mechanism, a rollover function can be carried out as bottles are conveyed on line along the conveyer line, and thereby the images of the bottles are acquired in the process of rollover in order to detect the foreign matters in the bottles.

A switch transistor power loss and automatic adjusting circuit in switching power supply is characterize in that that circuit comprises a filter, a differential operational amplifier, a comparator anda sampling judger; One end of the input side of the differential operational amplifier is connected with the output end of the filter, and the other end is connected with the output voltage signal ofthe switching power supply; One end of the input side of the comparator is connected with the output end of the differential operational amplifier, and the other end is inputted with a threshold constant; The output end of the comparator is connected with the input end of the sampling decider. The invention realizes the effective detection of the loss of the power tube in the switching power supply and the automatic adjustment of the on-resistance of the power tube.