516results about How to "Accuracy is not affected" patented technology

A system, method, and process that determine and automatically correct registration errors between printed objects and mechanically produced objects using advanced image processing techniques is disclosed. Means are also presented for maintaining all registered functions to within very close tolerances during normal running, with other means for rapidly obtaining initial registration with substantial savings in material waste. The disclosed system and method / process are compatible with the printing and converting industry in which rolls of material are processed by printing a number of colors that require close registration especially in pictorial representation. These roll-fed printing machines are quite versatile and in addition to the printing of any number of colors on both front and back can perform any number of additional operations on the printed web at the same time. Some of these additional operations can be the punching of line holes, scoring, perforation and die cutting all of which impart a specific shape mechanically on the printed web. All of these functions must be initially registered to each other and maintained within close tolerances during normal running conditions. The presently disclosed registration system permits these initial registration procedures to be performed with high accuracy, speed, and across a wide variety of web materials and colors. The system generally applies to any web material (5701) on which register marks (5702) are applied, wherein images of the web are obtained (5703) and image processed (5704) under optional control of an operator interface display (5705), resulting in web press motor control (5706) to affect improved print registration on the web material (5701).

The invention discloses a voltage sample and electric quantity balance colinear battery management system and management method. The method comprises the steps of S1, cyclically scanning and sampling a voltage of each battery unit of a battery pack in real time; S2, initiating data synchronization and issuing a balance calculation instruction by a master control module according to specific working condition of the battery pack; S3, calculating and recording balance quantity by a slave control module according to instruction data and voltages collected in real time, wherein the instruction data is sent by the master control module; S4, judging an electric quantity balance state of the battery pack according to a calculation result of the slave control module; S5, stopping scanning and sampling, and calculating and recording an electric quantity balance position of the battery pack; and S6, carrying out electric quantity balance on the battery pack according to the recorded electric quantity balance position. According to the system and the method, the voltage sample and electric balance are realized through a time division multiplexing harness, the voltage sample precision is ensured, the wiring is simplified, and the cost is reduced.

An inductance parameter identification method of a synchronous motor and an implementation system thereof are provided. The method comprises: applying a three-phase balance high frequency voltage or current signal to the synchronous motor; sampling a feedback high frequency current or voltage of the synchronous motor; extracting positive sequence and negative sequence component amplitude of the feedback high frequency current or voltage which has the same frequency of the injecting voltage or current; and calculating to get d-axis inductance Ld and q-axis inductance Lq of the synchronous motor. Identification of the d-axis inductance and q-axis inductance of the synchronous motor can be implemented more accurately on a general inverter on the basis of non-increase of hardware cost. The method and system have the following advantages of implementing easily, not high demand for the motor feedback current sampling accuracy, and controlling easily for the frequency and amplitude of the high frequency voltage signal injected into the motor, and identifying to get the d-axis inductance and q-axis inductance of the motor directly no matter the motor shaft is in a free state, or in a hold tight stage, which do not affect accuracy of identification.

An assembly for a firearm (10) includes a sleeve (22) connected to the receiver or receiver end of the barrel (18). The sleeve (22) extends beyond the discharge end of the barrel (18) and includes inwardly extending projections (42) abutting or juxtaposed to a peripheral section (44) of the discharge end of the barrel (18). A noise suppressor (24, 50) threads onto the sleeve (22). Some of the propellant gases are redirected and cooled by the noise suppressor (24, 50) in a conventional manner. Some of the propellant gases are redirected into an annulus (46) between the barrel (18) and sleeve (22) where they are cooled and some of their volume is reduced thereby increasing the efficiency of the noise suppressor (24, 50).

The invention discloses a monitoring device and a real-time monitoring method for bridge vibration and deformation. The device comprises a laser emitter, synchronous light receiving and transmitting devices on a plurality of monitoring points, a centralized control and communication device, a remote monitoring center, etc. When a beam emitted by the laser emitter irradiates a reflection and transmission prism of the synchronous light receiving and transmitting device, the beam is split in proportion; a part of the split beam is reflected and received; the other part of the split beam is transmitted and passed, and irradiates a reflection and transmission prism of the next synchronous light receiving and transmitting device; and each synchronous light receiving and transmitting device can collect and store deformation (spot displacement) of a monitoring point, and upload the data of the deformation. The monitoring system can synchronously collect and process data on the deformation of all monitoring points, thereby realizing the measurement for vibration and deformation of a whole bridge. The monitoring device and the monitoring method can be used for measuring the deformation and the low-frequency vibration of various large-scaled bridge buildings. Furthermore, the device and the method have the advantages of rapid and real-time measurement, high accuracy of measurement, and real-time monitoring.

(1) Initializing the decoding arithmetic elements. (2) The feature code word vectors of next voice frame are taken out from the voice feature code word sequence with length T in the input decoding arithmetic element. The current voice frame is Ot, 1<=t<=T. (3) Filtering the current voice frame Ot. (4) Based on Ot, each active node of the token resource L t[I] in each layer I of token resource L t of lexicographic tree at t time is judged. (5) Processing the token between nods of lexicographic tree. (6) Based on the maximum probability of partial directory path, the self-adapting adjustment is carried out for the threshold related to the lopping of branches. (7) Repeating steps (2)-(6). The generated best text string matched to the acoustic model and the language model is output. Thus, the result of the voice recognition is generated. Comparing with traditional methods, the strategy speeds up decoding operation.

The invention relates to a monitoring and diagnosis method of an AC (alternating current) motor, in particular to an on-line monitoring and diagnosis method of an AC motor based on a statistical model. The method comprises the following steps: signal acquisition, status self-learning, model establishment, and monitoring and diagnosis. In the method, by identifying a set of status characteristic quantities related to the electrical and mechanical faults of a motor system, the statistical model is established by a multivariate statistical method, and the alarm limit in the even that the model is deviated from the normal range and the contribution of variables are determined by a self-learning mode so as to early warn the defects of the motor system. The on-line monitoring and diagnosis method of the AC motor has the advantages that comprehensive diagnosis can be carried out on the problems of the motor system based on the statistical model; the voltage and current signals of the motor can be obtained in an electrical room only by a mutual inductor without sensor installation and signal transmission in the production field; by adopting a warning control line in the self-learning step, the influence of system errors on judgment is inhibited; and the defects on on-line monitoring and current-method diagnosis of the existing motor system are compensated, and on-line monitoring and abnormal locating functions are realized.

The present invention relates to a quick frequency measurement system and its method, belonging to the field of communication technology. Said system includes frequency regulator, frequency measurer and control processor. Said invention utilizes the frequency regulator to regulate tested signal and reference signal, prolong testing time length of tested signal, raise frequency of reference signal so as to obtain high-frequency count pulse, then the frequency measurer can utilize the above-mentioned high-frequency count pulse to measure regulated tested signal.

The invention discloses a fuel cell output prediction method and system based on a mixing model, the method and the system enable the mixing dynamic model to have higher accuracy in both statical and dynamic aspects. In the present method, a statical mechanism model of fuel cell output voltage, a dynamic mechanism model of a fuel cell anodic and cathode gas flow dynamic mechanism models of fuel cell anodic gas flow and fuel cell cathode gas flow, a statical neural network and a variable structure neural network are established. The output of two dynamic mechanism models are used as part input parameters of the statical mechanism model. Vout is acquired after using the statical neural network to complement the output of the statical mechanism model. The variable structure neural network is used to approach the derivative of the error Ve between the fuel cell actual output and the Vout, then integration is performed on the output of the variable structure neural network to acquire the error estimation value, and the fuel cell output voltage estimation value will be acquired by superposition of the error estimation value and the Vout.

The invention discloses an energy efficiency optimization based cooperative communication system resource allocation method, and belongs to the technical field of cooperative communication. The energy efficiency optimization based cooperative communication system resource allocation method comprises the steps of establishing a system model, analyzing a system scene, summarizing problems and solving an optimization problem by using a convex optimization method. The energy efficiency optimization based cooperative communication system resource allocation method gives consideration to system energy efficiency in the presence of time average; a time average based energy efficiency algorithm not only considers the performance of a current system, but also gives consideration to the system performance at the moments before the current moment, so that the fairness of system resource allocation is ensured, a mathematical expression of user fairness is provided; meanwhile, a simpler power sub-carrier adaptive allocation formula can be obtained tactfully through operation. According to the energy efficiency optimization based cooperative communication system resource allocation method, the optimization problem is divided into two sub-problems to be solved, power allocation on the sub-carrier is obtained through cyclical iteration, not only the current channel state information but also the former channel state are considered in the sub-carrier allocation process, the algorithm complexity of the energy efficiency optimization based cooperative communication system resource allocation method is reduced through tactful conversion, and the mathematical expression of the complexity is provided. The energy efficiency optimization based cooperative communication system resource allocation method is rational in algorithm design and easy to implement.

The present invention relates to a photocurable material for 3D inkjet printing, and a preparation method thereof, and a printing method, wherein the photocurable material comprises, by weight, 50-98 parts of a monofunctional monomer, 1-50 parts of a linear nonionic water-soluble polymer, 0-20 parts of a polar organic solvent, 0.1-5 parts of a photoinitiator, and 0.5-10 parts of an auxiliary agent. According to the present invention, the photocurable material can be used for 3D inkjet printing so as to print the support part, wherein the support part can be removed in the water or the aqueous liquid so as not to affect the precision of the target 3D object; and the 3D printing method has advantages of simple in operation, energy saving, and no harm to human body.

The invention discloses a robot used for high risk operation. The robot comprises a robot vehicle, a mechanical arm and a helmet. The robot vehicle comprises a robot mechanical arm, a track chassis, solar panels and a camera device. The mechanical arm comprises a right-hand mechanical arm body and a left-hand mechanical arm body. The right-hand mechanical arm body comprises a right glove, a right elbow sleeve and a right control device. The right control device is composed of a first inertial navigation module, a potentiometer, a first single-chip microcomputer control panel and a first power source. The left-hand mechanical arm body comprises a left glove, a left elbow sleeve and a left control device. The left control device comprises a second single-chip microcomputer control panel, a tilt angle sensor, a wireless serial port module, a second power source and a single-chip microcomputer enabling switch. The helmet comprises a helmet body, a camera video display screen, a battery, a third inertial navigation module, a third single-chip microcomputer, a second wireless module and the like. The robot is visually and easily controlled through the arm and hand actions of people, wearing and flexible control are convenient, and the robot is suitable for being used in the dangerous and complex field.

The invention discloses a two frequency signal flying time measuring method and the device that emits two frequency signal superposing signal preset in D / A, emitting time span is tp and starting timing, receiving signal of returning after a time span until the signal intensity is 5-10 times over the background noise stopping timing, taking A / D converting, and calculating the accurate flying time. The device includes power supply, signal emitting module, signal receiving module, calculating module, D / A, A / D, and synchronization controller. The invention has the advantages of wide range, high accuracy, and high dynamic response speed.

The invention discloses a joint path selection and power distribution method for energy collection nodes in a wireless sensor network, and belongs to the field of cooperative communication technologies. The method comprises the steps of analyzing a system scene, describing problems; establishing a system mathematic model; and then finding the optimal solution by using an optimization method. The method aims at the special application scene and is derived from the actual application, and being different from the traditional independent sensor node or gateway resource distribution, the method comprehensively considers the joint power distribution and path selection of sensor nodes and gateways, and maximizes the handling capacity performance of the communication nodes by using the gateways as relay stations. According to the method of the invention, the solution of an optimization problem is processed by using convex optimization to convert a target function of the optimization problem without approximate calculation, so that computation complexity is greatly reduced while accuracy of the problem is not influenced, and delay generated by system overheads is reduced; a Lagrangian multiplier method is used in an optimizing process, and thus an optimizing speed is rapid; a subgradient method and an incremental step length are used in an iterative process, so that optimizing is more accurate.

The invention aims to provide a parallelly connected capacitance type capacitance pressure sensor which effectively solves the problems that a single capacitance pressure sensor fails to effectively increase capacitance relative variation due to limit on geometric dimensioning and has too large internal resistance and small SNR (signal to noise ratio) and the like. The sensor comprises a matched shell, a fixed electrode assembled with the matched shell, pipe-shaped extraction electrode, a moving electrode and a pressure extraction opening. The sensor is characterized in that the pressure extraction opening is one with a public welding base, two fixed electrodes and moving electrodes with the same specification assembled in the matched shell and a capacitance pressure sensor of the pipe-shaped extraction electrode are connected with one public welding base pressure extraction opening, the fixed electrode is connected with a lead wire to form the capacitance pressure sensor parallelly connected with two capacitance pressure sensors. The parallelly connected capacitance type capacitance pressure sensor has a rational structure design, multiples capacitance relative variation, remarkably improves sensitivity and SNR, is good in stability and high in measuring accuracy and reduces internal resistance, which enables the measuring range, compared with a single one, a constant upper limit and substantial extension in small and micro direction.

The invention relates to the field of machine vision, in particular to a stereoscopic-vision-based location method for electric vehicle batteries. Two synchronous sampling images are acquired by a binocular stereo image acquisition unit and a stereoscopic-vision precision synchronous switch device. The mechanical shutter device proofs water and dust. A single-chip microcomputer is used for light measurement and control parameter adjustment. LED light supplement is triggered by a mechanical shutter, so that stable-light sampling images are obtained. After battery location is over, compensating is performed according to ranging data of a sensor. The method is free of projecting active information to a car, bonding a location mark to a car body, installing the sensor on the car body, and highly requiring uniformity on the shape and size of battery frames for the same type of cars. Location accuracy is insusceptible to certain dirtiness of car body and battery surface and changes of external environmental conditions.

A microadvance system for accurate grinding machine is composed of a drive unit consisting of piezoelectric drive power supply, piezoelectric ceramics, man-machine interface type input device, and displacement-voltage table, an executing unit consisting of flexible hinge mechanism and microadvance bench, a detecting unit consisting of inductance-type position sensor or raster rule, detection signal acquiring module, displacement-voltage compensation data table, and signal processing-outputting module, and a control system consisting of microprocessor, D / A and A / D converters, data I / O display, signal amplifier, information integrating interface, and signal processing reference model and algorithm.

The invention discloses a combined resource distribution method based on an energy acquisition cooperation communication system and belongs to the cooperation communication technology field. The method comprises steps of system scene analysis and problem resolution; system mathematics model establishment and optimal solution calculation on the basis of an optimization method. According to the method, for the special application scene from a practical application, compared with a relay selection method in the prior art, problems of high complexity and high network cost existing in relays in the prior art are solved, a single relay node selection algorithm and a corresponding resource distribution algorithm are searched from an easy-practical-application angle, single relay cooperation communication on the basis of energy acquisition is considered, a throughout expression under the scene is derived, optimal relay selection and power distribution are considered in a combined mode, and the method has great guiding meaning.

The invention relates to an answer extraction method for a community question and answer system. The method comprises the following steps: firstly, carrying out word segmentation and stop word removalpreprocessing on a question and answer data set; selecting a word meaning similarity scheme, and setting a threshold value to execute normalization of synonymous words and synonymous words; calculating smooth inverse frequency similarity based on question classification and public component removal, sorting the smooth inverse frequency similarity, and selecting k candidate questions with closestsemantics; calculating the similarity of the k candidate questions by considering the character level characteristics and the dependency pyramid characteristics, namely, based on the character vectorcalculation similarity, sorting the candidate questions, and sorting the candidate questions according to the comprehensive dependency similarity; and finally, selecting an optimal answer by comprehensively balancing the ranking and numerical values. A problem classification strategy is adopted, and the range of subsequent calculation is narrowed; public components of the data set are removed at the sentence level, and the smooth inverse frequency similarity is adopted as a sorting reference to accurately screen the first k candidate problems; the questions with the closest semantics are moreefficiently and accurately determined in the community question and answer data, and the efficiency and accuracy of answer extraction are improved.

The invention discloses a cellular network energy efficiency optimization method based on relay cooperation and belongs to the cooperation communication technology field. The method comprises the following steps of establishing a system model; carrying out system scene analysis; carrying out problem resolution; and using a convex optimization method to solve an optimization problem. In the invention, a bit number transmitted per joule under maximized system time average is taken as a utility function, combined relay selection, carrier wave pairing and power distribution problems under an OFDM relay network scene of a plurality of relays and a plurality of users are combinedly considered and a realistic instructive significance is possessed. The method is different from a traditional relay protocol, a base station is allowed to retransmit information of a first time slot through idle subcarriers in a second time slot, emission power of the base station and the relay can be reduced and a system capacity is increased. An algorithm of the invention is designed reasonably and is easy to realize.

This invention discloses an allocating method of united resource of a relay system based on optimal energy efficiency, and relates to the technical field of mobile communication. The method comprises the following steps: establishing a system model; analyzing a system scene; resolving problems; and solving an optimization problem by a convex optimization method. Compared with the traditional relay protocol, a base station is allowed to resend information of a first time slot through idle subcarriers during a second time slot; the transmitting power of the base station and the relay can be reduced; and the system capacity can be improved. The method uses an optimization model of the energy efficiency as a nonlinear mixed-integer programming problem; since the existing conventional method cannot be applied to solve the problem, and in order to reduce the complexity of the problem, the method first changes the optimization model into linear convex programming through using a Dinkelbach method, then solves the simplified linear programming problem based on dual programming, and finally works out an optimal solution based on the Hungarian algorithm and the subgradient algorithm. The method is reasonable in algorithm design, and is easy to realize.

The invention discloses a relay system energy efficiency optimization method based on the OFDM, and belongs to the technical field of mobile communication. The method comprises the steps: building a system model; carrying out the analysis of a system scene; summing up problems; and solving an optimization problem through employing a convex optimization method. The method combines the integrated channel state information under the constraints of the maximum total power and minimum user instant speed, gives consideration to the joint optimization problem of enabling the energy efficiency to be maximized while considering to the equity, and gives a mathematical expression of user equity. Aiming at the solving of the optimization problem, the method employs the convex optimization processing, converts a target function of an optimization problem, does not need to carry out approximate calculation, does not affect the precision of the problem, greatly reduces the calculating complexity, and reduces the time delay caused by the system expenditure. The method is reasonable in algorithm design, and is easy to implement.

The invention discloses a high precision lens center deviation detection instrument and a measurement method thereof. The high precision lens center deviation detection device comprises an LED irradiation source emission system, a microscope system and a detected glass bearing which are arranged on a pedestal; the LED irradiation source emission system and the detected glass bearing are in a same plane; the microscope system is arranged above the detected glass bearing; light rays emitted by a light source in a signal emission system is turned by a reflection prism and goes to detected glass after going through a cross wire and being focused by a light condensation lens, and then the light rays are imagined on a cross reticle after amplification by a microscope system and then are imagined on a CCD through an electronic ocular lens and displayed on a monitor. The high precision lens center deviation detection device and a measurement method thereof can realize measurement on center deviations of lenses with an extremely big focal length or an extremely small focal length and avoids a fact that reading is affected because the cross wire is too thick while the sensitivity is not changed. According to displacement of the cross wire after the lens is rotated for one round, the measurement on the center deviation is realized.

The invention relates to a knife striking and blowing mechanism of a direct connected main shaft. The mechanism mainly comprises a main shaft 1, a front bearing assembly 28, a rear bearing assembly 25, a sleeve 23, a pull rod 18, a connecting rod 15, a disc-type spring 27, a drawing jaw 20 and a knife striking oil cylinder, and is characterized in that a piston in the knife striking oil cylinder is formed by assembling an inner piston 10 and an outer piston 9; and acting areas A and B of knife striking oil pressure on the inner piston 10 and the outer piston 9 are equal to each other. The mechanism has the advantages that: the knife striking oil cylinder is an unloading oil cylinder, a bearing does not bear a knife striking force, and the accuracy and the life of the main shaft are ensured; and regular appearance, high sealing property and small size are ensured. An air channel is formed between parts, so that simple structure, high reliability and low cost are ensured, and the direct connected transmission shaft does not need to form a through hole in the centre and has a simple structure. After the knife grabbing is finished, compressed air can be released from the bearing, labyrinth of an end cover and other gaps, so that positive pressure of the air of the interior relative to the exterior is kept, and the main shaft 1 can be cleaned and sealed.

The invention discloses a sea surface remote sensing image ship detection method based on a characteristic pyramid. The method comprises the steps of segmenting a remote sensing image of a sea surfacebackground ship to be detected into small images through a sliding window mechanism; screening out small images which may contain ships from the small images obtained by segmentation through a ship classification pre-inspection network; detecting the screened small graphs which may contain the ship through a target detection network based on a feature pyramid to obtain a small graph detection result; and fusing spliced small image detection results to obtain a final detection result of the sea surface background remote sensing image. According to the size of the target, the target is dividedto a specific coding position, so that the specific position processes the target with the corresponding size in the coding matrix, and the network convergence speed in the training process is increased. And an up-sampling structure of the feature pyramid uses a hole convolution operation, so that the receptive field is improved under the condition that the size of the feature map is not changed.The loss function only calculates the loss of the part corresponding to the target scale, simplifies the network learning task, and accelerates the network convergence in the training process.

The invention discloses a scan system of a large document laser vibrating mirror used for marking and carving a solar energy battery by the laser, belonging to a technical field of manufacture of the solar energy battery with an amorphous silicon film. The invention aims at improving the marking and carving speed and precision of the solar energy battery products with the amorphous silicon films. The invention is technically characterized by computer program control, the laser vibrating mirror scanning system with the document of 400mm-600mm, marking and carving as well as positioning coordinate points by the laser and adopting the production method of multi-document or single document to produce the solar energy battery with the amorphous silicon film. The invention is also technically characterized in that when the laser vibrating mirror scanning system is started, a X-Y cross-linking platform is in a halted state. Unidirectional displacement of an X or a Y axoneme bar is promoted for m or n equal divisions to mark and carve the area. The invention has the effects that the maximum linear velocity of marking and carving the high-speed solar energy battery with the amorphous silicon film with the large document is 400m / min and complex graphs can be marked and carved. The invention has the advantages of not influencing the precision of a minimal marking-carving path by the weight of a mechanical platform and operation speed as well as high production efficiency and low cost.

The invention discloses a device and a method applicable to linear tunnel axis positioning measurement. The method mainly comprises the following steps: laying a central axis control point of a linear tunnel by adopting a total station, erecting a laser level meter on a centered and leveled measuring tripod through a special connecting device, accurately centering the instrument on the central axis control point, calculating the sight height of the instrument by measuring the instrument height or comparing with a reserved elevation point, so that three-dimensional absolute accurate positioning of the laser level meter is realized, a height datum line and an axis datum line with high precision visibility can be provided for a tunnel face construction site, and convenience is brought to field setting-out of a constructor. The equipment used in the method is cheap, simple in operation, high in precision and wide in application range and can perform cross-operation with other processes during setting-out, and the working efficiency is obviously improved.

The invention discloses narcotic detection paper based on a microfluid capillary structure and a preparing method thereof. The narcotic detection paper is based on the fluorescence immunoassay principle, and the narcotic content in human body saliva can be accurately and quantitatively measured. The s narcotic detection paper is of the microfluid capillary structure, the problems that traditional fluorescence immunoassay detection paper is high in background fluorescence, and saliva samples are difficult to evenly diffuse are solved, and the advantages that the fluorescence immunoassay technology is high in sensitivity, and quantitative analysis can be carried out are fully developed. Shaping of the microfluid capillary structure of the narcotic detection paper is carried out with the reel-to-reel heat photoetching technology; by means of the method, the preparing cost can be greatly reduced, the preparing period is shortened, and large-scale production of the narcotic detection paper is achieved.