1308 results about "Interference factor" patented technology

A system and method for maximizing channel utilization by efficiently allocating codes and frequencies based on estimated relative interference between subscriber units in a wireless communications network, such as an ad-hoc wireless communications network, in such a way as to minimize multiple access interference. The system and method perform the operations of collecting existing and proposed transmission information between nodes in the network, and calculating a respective interference factor for each existing transmission between certain nodes and each proposed transmission by a transmitting node. The interference factors can be calculated based on, for example, respective distances between certain nodes. The system and method then assign the communications channel configuration, including a frequency channel and code channel, to the transmitting node for communications to other nodes as designated by a minimum of the calculated respective interference factors.

The invention aims to provide a robot tracking method and equipment for robot tracking. The method comprises the following steps: determining a target object to be followed by a robot; identifying the target object from a scene which is captured by the robot in real time; determining a moving path of the robot toward the target object; and controlling the robot to move according to the moving path. Compared with the prior art, the method has the advantages that when the target object is identified, the identification accuracy is improved by simultaneously utilizing the characteristic information of the target object and other objects in the environment, so that the target object can be accurately identified in a natural environment with real-time variation and more interference factors; meanwhile, an optimized path is planned according to the target position and barrier information, and the moving speed and direction of the robot can be accurately controlled to track the target, so that the technical problem of wrong tracking target or missed tracking target often happening in current robot tracking can be effectively solved.

The invention relates to a method for predicting and controlling slab continuous casting breakout, in particular to a method for preventing sticking breakout according to the temperature variation condition of a thermocouple in a crystallizer in the process of slab continuous casting. The method mainly aims at solving the technical problems that the existing various breakout prediction methods can not compressively consider interference factors and can not predict small-scale sticking and slag entrapment in time. The technical proposal of the invention is that the method for predicting and controlling the slab continuous casting breakout comprises the step that lines of thermocouples are arranged on the crystallizer, and the method is characterized by comprising the following steps: a. capture of typical temperature characteristics: the typical temperature characteristics of each thermocouple is determined according to the crystallizer parameters and the installment location of the crystallizer on the thermocouple; b. determination of breakout probability: the breakout probability of each thermocouple is determined according to the typical temperature characteristics of the adjacent thermocouples as well as the characteristics of the breakout thermal conductance and abnormal temperature distribution; c. control of casting speed: when the breakout probability of the thermocouples is up to 95%, the casting is stopped. The method is mainly used for warning continuous casting breakout.

Disclosed is an adaptive downlink packet transmission method for a multicarrier Code Division Multiple Access (MC-CDMA) system. The method can allocate radio resources efficiently according to the variations of channel conditions for each user terminal, allocate transmission power appropriately according to the interference from the same cell, and minimize interference to adjacent cells. The adaptive downlink packet transmission method includes the steps of: a) estimating a signal-to-interference-and-noise ratio (SINR) in a user terminal after channel equalization and despreading by measuring a downlink pilot channel; b) measuring an average interference factor and an average noise power; and c) allocating radio resources adaptively in the central station by determining transmission slots in a transmission frame, the number of spreading codes to be used in each transmission slot, symbol energy for each spreading code, and a transmission method, until transmission slots and packets to be allocated are not available.

The invention discloses a negative pressure absorption climbing type robot used for detecting a fissure of a bridge. The negative pressure absorption climbing type robot used for detecting the fissure of the bridge comprises a camera shooting unit, a front mechanical foot, a rear mechanical foot and a wireless communication unit. According to the negative pressure absorption climbing type robot used for detecting the fissure of the bridge, the front mechanical foot is connected with the rear mechanical foot through a joint coupling mechanism, the front mechanical foot and the rear mechanical foot are respectively provided with a negative pressure absorption assembly and a walking driving assembly, and therefore the front mechanical foot and the rear mechanical foot can be sucked on the surfaces of bridges under different work conditions to achieve climbing and walking; the camera shooting unit is arranged on the front mechanical foot and is used for shooting an area to be detected and sending the shot results to the wireless communication unit; the wireless communication unit is arranged on the rear mechanical foot and is used for receiving the results shot by the camera shooting unit and transmitting the results to a control terminal and receiving a control command from the control terminal. The negative pressure absorption climbing type robot used for detecting the fissure of the bridge has the advantages that the detection of the fissure of the bridge can be achieved conveniently, fast and accurately, the detection of the fissure of the bridge can be controlled conveniently, subjective interference factors of people can be effectively eliminated, and detection cost is reduced. The negative pressure absorption climbing type robot used for detecting the fissure of the bridge is particularly suitable for detection of the bottom surfaces of various complicated bridges.

The invention discloses a lane line detection method under a complex road condition scene. The method is used for a smart car to obtain road image information and instantly conduct lane line identification. The method includes scanning the edge image after the edge information of a road condition image is obtained, and calculating the connecting direction of edge pixel points to filter the abnormal noise edge of the connecting direction. The characteristic information of the disappearing point of a lane line can be used, and the position information of the disappearing point can be obtained through a ballot mechanism. The disappearing point serves as the constraint conditions for filtering interference line segment, and also as the key parameters for fitting a lane line. The method eliminates the influence of interference factors of tree shadows, characters and driving vehicles on the pavement, the lane line detection under various complex environments can be realized, and high accuracy and good robustness are ensured.

The invention relates to the field of video monitoring, in particular to a safety helmet identification method integrating HOG human body target detection and an SVM classifier. The method includes the steps that parameter values Sigma of HOG positive and negative sample characteristics, an SVM classification function and a Gaussian kernel function are obtained; a monitoring box is extracted; a moving target is detected; HOG characteristic matching is conducted to judge whether a safety helmet is worn. By means of the safety helmet identification method, whether staff in a construction site wear safety helmets as required can be accurately monitored, the algorithm principle is simple, the real-time performance and a high accuracy rate are achieved, a human body target and a non-human-body target can be effectively distinguished, interference factors in a background are overcome, adaptability to outdoor changing light conditions and changes of colors of the safety helmets is achieved, and high robustness is achieved.

The invention provides a current measuring system and method, wherein the current measuring system comprises two or more magnetic field sensors and a signal processing module; the magnetic field sensors are distributed at the outer side of a measured conductor at equal distance, and each magnetic field sensor is used for acquiring the magnetic density of an induction field generated by a current flowing through the measured conductor; the signal processing module is connected with each signal transmission module through signal transmission parts and is used for linearly summarizing the acquired magnetic densities and calculating the value of the current in the measured conductor based on the summarized magnetic density by summarization. The invention lowers the influence of the shape of the conductor on the acquired magnetic density and the influence of an external current source on a measurement result, therefore, the problem of lower repeatability precision for measurement, caused by irregularity and incapability of compensating interference factors in measurement of circuits by utilizing a current measurement way in the prior art, is solved.

The invention relates to a rapid and convenient method for testing the quality of honey and the application thereof. The main steps are as follows: (1) a honey sample is collected; (2) the contents of water, glucose and fructose and the amylase value of the honey sample are obtained by a routine chemical method; (3) a near infrared spectrum of the honey sample is collected; (4) the preprocess of the near infrared spectrum is carried out, the interference factors are eliminated and the wavelength range is selected; (5) calibration models among the contents of water, glucose and fructose, the amylase value and the near infrared spectrum of the honey sample are respectively built and tested; (6) the near infrared spectrum of the sample to be tested is collected; (7) the contents of water, glucose and fructose and the amylase value of the sample to be tested are predicted by using the built models. The invention has the advantages of simple pretreatment, rapid analyzing speed, environmental protection, etc. Moreover, the contents of water, glucose and fructose and amylase value in the honey can be predicted with reliable and ideal result.

The invention discloses a measurement method of a volatile organic compound in tobacco lining paper with high determination accuracy and good repeatability, which is suitable for simultaneously determining dozens of volatile organic compounds. The measurement method is as follows: taking fluorobenzene as an internal standard substance; using headspace gas chromatography for measuring the content of the volatile organic compound in the tobacco lining paper; wherein a detector in the headspace gas chromatography is a mass spectrometry detector. The measurement method takes the fluorobenzene as the internal standard substance, uses the headspace gas chromatography / mass spectrometry for measuring the content of the volatile organic compound in the tobacco lining paper, and has the following advantages that the fluorobenzene has stable chemical property and are very similar to determinand in every performance, and the peak time appears in the middle of 19 target VOCs to be detected; therefore, the fluorobenzene is the very suitable internal standard substance, can eliminate the influence of ground substance in the tobacco lining paper on the measurement, causes materials which can not or are difficult to peak to be measured, and has high measurement accuracy and few interference factors.

The invention discloses a human body attribute identification method based on deep learning. The human body attribute identification method comprises the steps of: step S1, constructing a human body part data set by using poselet detector; step S2, training poselet feature vectors according to the human body part data set; step S3, and training a human body attribute classifier by utilizing the poselet feature vectors through a convolutional neural network. The human body attribute identification method can position human body parts rapidly and accurately under the condition of various interference factors such as viewing angle, posture and occlusion in human body attribute identification, and further carries out attribute identification by combining with the corresponding human body part.

The invention discloses an ultralow concentration electrochemical formaldehyde sensor which can detect low concentration of 10 ppb, and comprises at least a working electrode, a compensating electrode and a counter electrode, wherein the compensating electrode and the working electrode are positioned on the same working surface and isolated in different spaces, and the space where the compensating electrode is positioned comprises a compensating electrode filter layer for selectively removing formaldehyde. Provided with the parallel compensating electrode which is unlimitedly consistent with the working electrode in characteristic, the formaldehyde sensor eliminates the influence of interference gas and also eliminates a formaldehyde detection error caused by environmental temperature or humidity change, and thereby overcoming the difficulty of low resolving capability caused by too many interference factors when a traditional electrochemical sensor detects low concentration formaldehyde and having low detectability and high selectivity. The sensor also overcomes the defects of complicated operation and incapability of continuous measurement of existing products in markets.

The invention discloses a method for positioning a sound source by a robot. The method comprises the following steps of: 1) the robot collects sound source signals by using at least a pair of microphones and converts the signals into digital signals for storage; and 2) sound source positioning calculation is carried out on the stored digital signals through improved weighing cross-correlation calculation. In the method provided by the invention, a weighing function in the cross-correlation calculation is improved, thereby reducing influence of interference factors such as background noise, reverberation and the like and improving positioning accuracy. Furthermore, the microphones are easy to arrange so that the corresponding positioning effect can be achieved by arranging a smaller number of microphone pairs.

The invention provides a method for recognizing inter-well connectivity and predicating the oil-water dynamic state. The method comprises the steps that a water drive oil deposit inter-well connectivity evaluation model considering two phases of oil and water is built; a water drive oil deposit oil saturation tracing equation for the two phases of the oil and the water is built; the effective control volume of a single well is calculated through a Koval method; initial values of a connectivity factor, a interference factor and a time constant are given; then, the average oil saturation and liquid production capacity of a jth oil well within a first time step are obtained according to the model and the equation; and the oil saturation of the oil-water front is solved; a minimized objective function is built according to injection and output data of an oil-water well, the objective function is subjected to minimized calculation through a constrained optimization algorithm, and the optimal connectivity factor, the interference factor, the time constant and the average oil saturation are obtained; and the connectivity relationship between injection and production wells is discriminated according to the optimal connectivity factor, and predication of dynamic indicators is conducted according to a model after update.

The invention discloses an automatic multirobot charging scheduling method, which comprises the following steps: a background server stores position information of charging piles; robots and the charging piles are registered in the background server; the robots and the charging piles report own states in real time; the robots report position information and task information; the robots report information about that charging is required to the background server when being required to be charged, and the background server implements charging scheduling for the robots to be charged; the robots to be charged are paired and aligned with the charging piles for charging after storing current tasks; the robots to be charged leave the charging piles and continue fulfilling the tasks after finishing charging. According to the method, each robot in a multirobot environment can be timely paired with the charging piles for charging, so that the working continuity of multiple robots is ensured, and the working efficiency of the robots is improved; a scientific alignment method is adopted, so that the charging efficiency of the robots is improved, man-made interference factors of a manager are reduced, and the overall efficiency is further improved.

The invention relates to the technical field of image processing, in particular to a paper currency recognition method and system. On the basis of a speeded-up robust feature (SURF) and model matching, each infrared anti-counterfeiting feature area of paper currency to be tested is subjected to SURF point detection, and then, the infrared anti-counterfeiting feature area is matched with a corresponding feature model of a real paper currency sample so as to realize a purpose of judging the authenticity of the paper currency to be tested. Compared with the prior art, the invention avoids detection to areas which do not exhibit practical meanings to a detection result on the paper currency, interference factors are reduced, and a detection result is more accurate. Meanwhile, detection calculated amount is reduced, and detection speed is quickened.

The invention relates to an online detection and control method of the periphery of a filtering rod and a device. The device is characterized by mainly comprising a parallel light source (1), a linear array CCD (Charge Coupled Device) detector (2), a scanning motor (3), a signal processing module (4) and an executing mechanism (6), wherein the parallel light source (1) and the linear array CCD detector (2) are respectively positioned at the two opposite sides of the filtering rod; the scanning motor (3) drives the parallel light sources (1) and the linear array CCD detector (2) to rotate around the filtering rod; the signal input end of the signal processing module (4) is connected with the signal output end of the linear array CCD detector (2); and the signal output end of the signal processing module (4) is connected with the control end of the parallel light source (1), the control signal input end of a motor driver of the scanning motor and the signal input end of the executing mechanism (6) simultaneously. The invention has the advantages that the accuracy is high (the size of the received image element is 10mum), no influence is caused by various interference factors such asvibration, noise, temperature, dust and barometric fluctuation and the like on a site, and the detection result is accurate, stable and reliable.

The invention relates to an electrospinning direct-writing closed-loop control system and a control method, which relate to electrospinning direct writing equipment. The invention provides the electrospinning direct-writing closed-loop control system which is capable of realizing the controllable adjustment of the electrospinning direct-writing nano fibre diameter and improves the jet injection stability of spinning and the uniformity of nano fibre diameter and the control method of the electrospinning direct-writing closed-loop control system. The system comprises a liquid storage tank, a liquid feeder, a spinning nozzle, a collecting plate, a weak current detector, a temperature sensor, a humidity sensor, a data collector, a control computer, a direct current high voltage power supply and an adjustable frame. The system establishes a fuzzy controller to obtain the jet injection state by detecting the spinning current, adjusts the applied voltage and the flow rate of the feeding liquid according to the change of the spinning current so as to avoid the influence of various interference factors and realize long time stable jet of the spinning jet flow. The set current of the fuzzy controller is adjusted to control the electrospinning direct-writing nano fibre diameter. The electrospinning direct-writing closed-loop control system is beneficial to improving the controllability of the electrospinning direct-writing nano fibre diameter and well promoting the industrialized application of the electrospinning direct-writing technology.

The invention provides a method for detecting volatile organic compound in a cigarette filter, which comprises the following steps: a) preparing a sample; b) preparing a matrix correcting agent; c) preparing an interior label solution; d) preparing a standard sample; e) preparing a standard working solution; f) performing detection by using headspace-gas chromatography / mass-spectrography; and g) calculating a detection result of the volatile organic compound in the sample. The invention establishes the method for detecting the volatile organic compound residue in the cigarette filter for the first time. By using the saturation sodium chloride aqueous solution as the matrix correcting agent and the fluorobenzene as the interior label, the matrix effect of a solid absorption matrix (namely the cigarette filter) is efficiently reduced and the error caused by the poor repeatability of the pre-treatment and the low precision of instrument is reduced. In the whole process, no organic solvent is used. The method has the advantages of environmental friendliness, energy-saving and low consumption. The detecting method has few interference factors and good repeatability, is accurate in measuring result, is simple to operate, and can be used for obviously increasing the sensitivity of headspace analysis.

The invention relates to a neural network deep learning-based cloth defect detection method. The method includes the following steps that: (1) high-speed line scanning imaging is performed; (2) an improved BP neural network cloth defect detection algorithm is adopted to accurately detect cloth defects; and (3) a convolutional neural network deep learning-based cloth defect classification algorithm is adopted to automatically select characteristic information of defect diversity, and non-linear and systematic processing and classification are performed. According to the method of the invention, algorithms such as image correction, splicing and de-noising are realized in an imaging system through a GPU, so that high-speed and high-quality image acquisition can be realized; the improved BP neural network cloth defect detection algorithm is adopted to detect and eliminate interference factors such as dust, dirt, cotton balls and folds; and the convolutional neural network deep learning-based cloth defect classification algorithm is adopted to monitor various kinds of detects in real time, and the classification algorithm can automatically select the characteristic information of defect diversity and carry out non-linear and systematic processing and classification.

The invention discloses a TCAS (traffic collision avoidance system)-based collision detection method for an airplane formation and application of the method. Based on the original airborne anti-collision, the flight path estimation error during a flight is considered, the collision detection method for the airplane formation is introduced aiming at the formation forming process, various random interference factors on performance are considered, an alarm threshold value and a filtering duration probe time are adjustable, better safety is realized compared with the traditional geological probe, and the virtual alarm probability in the formation forming process is effectively reduced, in addition, once an airplane in the formation is deviated from the designated track range, a system provides alarm information and the management and maintenance for the formation are convenient.

The invention relates to a reference pixel for an uncooled infrared detector and a manufacturing method of the reference pixel. The reference pixel comprises a metal reflecting layer arranged on an ASIC circuit, an insulating medium layer, a sacrificial layer, a support layer, a thermo-sensitive thin film, a medium protection layer, an electrode metal layer, a metal filling pattern, a shielding layer, a protection structure and a passivation layer medium, wherein the insulating medium layer, the sacrificial layer, the support layer, the thermo-sensitive thin film, the medium protection layer, the electrode metal layer, the metal filling pattern, the shielding layer, the protection structure and the passivation layer medium are sequentially arranged on the metal reflecting layer; pier holes are arranged in the sacrificial layer; a through hole is arranged in each pier hole; and a contact hole is arranged in the medium protection layer. A special structure of the reference pixel is finished; meanwhile, thermal conductance of the reference pixel array is improved since the reference pixel is covered with the metal layer in large area; the thermal radiation interference factor of a chip environment is greatly removed; and the performance of the uncooled infrared detector is improved.

The invention discloses a concrete bridge crack detection device based on digital image processing. The device is characterized by comprising a power supply module, a distance measuring module, an image obtaining module, an image processing module, a crack characteristic extracting module, and a crack information storage module. The image obtaining module and the distance measuring module are individually connected to the image processing module, and the image processing module, the crack characteristic extracting module, and the crack information storage module are sequentially connected to the power supply module. The device is safe and reliable, the detection cost is reduced, furthermore, the artificial interference factors are effectively removed, and the problems such as discontinuous images, missed photo shooting, repeated photo shooting, low detection accuracy, low detection efficiency, and the like, are solved.

Disclosed is an adaptive downlink packet transmission method for a multicarrier Code Division Multiple Access (MC-CDMA) system. The method can allocate radio resources efficiently according to the variations of channel conditions for each user terminal, allocate transmission power appropriately according to the interference from the same cell, and minimize interference to adjacent cells. The adaptive downlink packet transmission method includes the steps of: a) estimating a signal-to-interference-and-noise ratio (SINR) in a user terminal after channel equalization and despreading by measuring a downlink pilot channel; b) measuring an average interference factor and an average noise power; and c) allocating radio resources adaptively in the central station by determining transmission slots in a transmission frame, the number of spreading codes to be used in each transmission slot, symbol energy for each spreading code, and a transmission method, until transmission slots and packets to be allocated are not available.

The invention provides a method and a device for detecting overshooting of a wireless network. The method comprises the following steps of: obtaining the signal intensity of each cell in each grid, wherein the grids are obtained by dividing the coverage area of the wireless network according to the geographical position; calculating an interference factor of a source cell to a target cell according to the signal intensity; calculating an overshooting factor of the source cell according to the interference factor; and judging the source cell of which the overshooting factor is greater than a first threshold as an overshooting cell. Through the method and device, the signal mutual-interference factors among the cells are sufficiently considered, and the accidental factors of overshooting in the test data are filtered through grid division so that the overshooting problem is located more accurately.

Aspects of the present invention are directed to using surface acoustic wave (SAW) sensors mounted on a disc coupling component in a powertrain to measure the torque generated by an automobile engine. The sensor may be positioned and oriented on the disc coupling component so that the phase velocities of SAWs propagating through active elements of the SAW sensors are aligned with principal strain components due to torque in the disc coupling component. The torque may be calculated by determining the difference between resonant frequencies of the active elements to suppress common-mode interference factors. In addition, SAW resonant frequencies may be communicated in a non-contacting manner by utilizing rotary and stationary couplers employing radio frequency (RF) signals. Moreover, SAW sensors may be activated and interrogated by employing targeted RF pulses having different carrier frequencies at or near respective resonant frequencies of each resonator in a SAW sensor.

The invention provides a method and device for evaluating network coverage interference, wherein the method for evaluating network coverage interference comprises the following steps of: acquiring estimation parameters; performing grid division on a selected region on the basis of geographic information to generate at least one grid; according to the estimation parameter, calculating the number of interference cells in the grid on the basis of grid convergence; and according to the estimation parameter and the number of the interference cells, calculating interference factors in the grid on the basis of the grid convergence. By taking the number of cell-configured carrier frequencies, actual measurement values of drive test data, the number of the interference cells in the region and other parameter values into full consideration, the estimation method of the invention realizes the scientific calculation of the coverage interference condition in the region so as to realize the quantitative evaluation on the coverage interference condition of a wireless network, thus scientific, quantitative and standard guidance is offered to the optimization of regional wireless coverage.

The embodiment of the invention discloses a positioning method and device, belonging to the field of positioning. The method includes: according to the positioning of the base stations, obtaining the signal arrival time of each base station arriving at the terminal and the position information of each base station; Distance error correction coefficient: calculate the position information of the terminal to correct the base station positioning result according to the arrival time of the signals from the base stations to the terminal, the position information of the base stations, and the non-line-of-sight error correction coefficient between the current corresponding base stations . In the embodiment of the present invention, the base station positioning error in the satellite blind area is calculated by a seamless positioning method of the satellite blind area of ​​the fusion satellite and the base station. This makes it possible to obtain higher-precision terminal location information only through base station positioning when satellite signals cannot be received, avoiding positioning in a cellular network environment and the situation of low positioning accuracy caused by various interference factors.

The invention belongs to the simulation system and method of bogie of a high-speed train and discloses a coupling simulation system and method used for vibrating and loading a bogie assembly with multi-degree of freedom. A tension and pressure sensor and a displacement sensor are all mounted on servo hydraulic cylinders. An acceleration sensor is mounted on a six-degree-of-freedom excitation teststand. The tension and pressure sensor, the displacement sensor and the acceleration sensor are used for detecting stroke of a rod of the servo hydraulic cylinder, tension or pressure applied on the servo hydraulic cylinder and accelerated speed of the six-degree-of-freedom excitation teststand and feed back to a servo controller through PCI (peripheral component interconnect) 1716 of an AD board. An X-direction excitation hydraulic cylinder, a Y-direction excitation hydraulic cylinder and a Z-direction excitation hydraulic cylinder apply forces to the six-degree-of-freedom excitation teststand to simulate the six-degree-of-freedom movement. An X-direction force loading hydraulic cylinder, a Y-direction force loading hydraulic cylinder and a Z-direction force loading hydraulic cylinder apply forces to a train simulation device to simulate four-degree-of-freedom static and dynamic force loading, which is integrated with the six-degree-of-freedom vibration simulation to form the coupling simulation. The coupling simulation system has the advantages that redundant force and dynamic load interference factors are reduced, true coupling mechanics simulation environment is provided for the bogie of the high-speed train, and true and accurate detection is acquired in the state of the coupling environment.

The invention relates to an automatic positioning rapid wiring device for a power meter, comprising an automatic positioning wiring tool, a driving stand, a power driving module arranged on the upperpart of the driving stand, a meter placing table and a positioning baffle arranged at the side part of the meter placing table. One or more automatic positioning wiring tools are arranged on a flat plate of the power driving module according to actual demands, a wiring end group consisting of a plurality of wiring terminals of current (voltage) is arranged on the automatic positioning wiring tool.The power driving module is fixed on the upper part of the driving stand to drive the switch-in and the switch-out of the automatic positioning wiring tool, which can be formed in an electric mode, apneumatic mode or a hydraulic mode; and the meter placing table is fixed on the side face of the driving stand and can be a static horizontal table or a horizontal production line body. By using theinvention, a power meter is just placed on the corresponding area of the meter placing table, through triggering an external control button or automatically controlling, the power meter can be automatically centered and rapidly wired, thereby greatly simplifying the working mode and the procedure of an operator, improving the production efficiency, simultaneously avoiding manual interference factors during operating to the largest extent and ensuring the quality of the outgoing power meter.