146results about How to "Overcome inaccuracies" patented technology

A seismic survey system having remote acquisition modules (RAMs) for acquiring seismic signals and communicating with a central recording system (CRU) via a network of cables, other RAMs, and line tap units (LTUs), arranged in a matrix of receiver lines and base lines. Each RAM cyclically converts analog signal values to digital, forming data packets. Interrogation commands emanating from the CRU and relayed with strategic delays by intervening LTUs and RAMs are received by the RAM. Each command causes the RAM to transmit a data packet. Strategic delays are set such that the transmission capacity of the line is best utilized. Power and frequency of transmission are selectable by the CRU to optimize performance. Cables contain multiple communication pairs. The network path between the RAM and the CRU is established from the CRU and altered in event of malfunction. All types of network elements are interconnectable. Recorded samples are synchronous.

The described invention allows for rapid geolocation of one or more RF emitters using a single moving collection platform. Inaccuracies of conventional frequency of arrival (FOA) geolocation methods are overcome by solving simultaneously for emitter location and a potential emitter drift associated with an observed emitter frequency. Certain embodiments may utilize particle filtering algorithms to recursively update multimodal state densities that are typical of solutions involving both unknown emitter location and nonstationary emitter carrier drift. Moreover, certain properties of particle filters may be exploited to provide a geolocation solution given a complex multimodal state space composed of emitter location and a non-stationary emitter frequency required for FOA.

The invention discloses an autonomous obstacle crossing programming method of a deicing and line inspecting robot for a high-voltage transmission line. The method comprises the following steps: step 1, detecting environment information by utilizing a laser radar mounted at the tail end of a mechanical arm, so as to obtain a robot movement ahead obstacle signal; step 2, according to a difference value between the current position and the expected position of the mechanical arm and the obstacle signal in the current condition, programming out a fuzzy programmed angle of the movement ahead mechanical arm by utilizing a fuzzy planner; step 3, performing online optimization to the fuzzy programmed angle by utilizing the particle swarm optimization, so as to obtain a particle swarm fuzzy programmed angle of the movement ahead mechanical arm; step 4, obtaining control moments of all joints by utilizing a neural network self-adaptive controller, and guiding the mechanical arm to act. By adopting the fuzzy programming method, an obstacle crossing programming decision can be made in real time according to the current condition of the deicing and line inspecting robot, and the inaccuracy and hysteretic nature of information perception can be overcome; meanwhile, by adopting the particle swarm optimization, the fuzzy programmed angle can be optimized online, so that the track can be smoother and the redundancy can be smaller.

A modem, method, and system is presented for performing a data communications speed test or line speed test between a network node and a customer premises. The modem may be configured to perform calculations for determining the data communications speed without interference of network elements or overhead modules that cause data communications to be inaccurate or otherwise affected.

The invention provides an on-line analysis and an aid decision making method for the low-frequency oscillation of an electric power system. According to information which is measured by a PMU and reflects the dynamic process of a power network, such as electric generator power angle, active power, busbar voltage phase angle, circuit active power, transformer active power, and the like, the invention monitors the low-frequency oscillation event of the power network online, identifies an oscillation mode and a strongly relevant machine set, counts participation factors, recognizes the approximate area of an oscillation center, and offers aid decision making information for restraining the oscillation on time. The invention conquers a problem that the analysis of the low-frequency oscillation is difficult since a power network model and a parameter are not exact, changes a situation that the low-frequency oscillation is lack of monitoring and analyzing method as well as can not be fast reacted in the past, and changes a situation that an exact judgment is hard to be made for the lack of the aid decision making method of the low-frequency oscillation in the past. Based on the safety pre-warning system and the aid decision making system of the low-frequency oscillation, important supports can be offered to power network operators for monitoring and analyzing the low-frequency oscillation feature of the power network and treating the low-frequency oscillation event.

The invention discloses a servo control strategy and system for simultaneously eliminating a counter potential and load torque disturbance. Based on a nominal model of an armature winding, total disturbance of an electrical part is estimated according to voltages externally applied to two ends of an armature and a detection value of an armature current, and the disturbance is offset by a feedforward compensation part; the residual disturbance of the counter potential is eliminated by combining feedback and adjustment of the armature current; an inner ring of the system is built by a combination step of feedforward control for eliminating electrical total disturbance and current feedback control; based on a nominal mode of a transmission system, the total disturbance of a mechanical part is determined according to the armature current and actual rotational speed information, and the disturbance is offset by the feedforward compensation part; by combining feedback and adjustment of the rotational speed, the residual disturbance of the load torque is eliminated; and an outer ring of the system is built by the combination step of feedforward control for eliminating mechanical total disturbance and rotational speed feedback control. By the servo control strategy, the disturbance of two different time scales is eliminated, and the interference resistant capability and the dynamic and static performance of the servo system are greatly improved.

The invention discloses a push method and device for commodity information. According to the method, commodity price ranges are determined according to the number of times of network behaviors on commodities by users, and can be distinguished accurately and reliably, and therefore complete price range data can be obtained, and the problem that due to the fact that the price ranges of the commodities are divided according to the commodity price in the prior art, the price range data are not accurate can be solved. The purchasing power ranges of the users are determined according to the number of times of the network behaviors on the commodities by the users and the commodity price ranges, the commodity information corresponding to the purchasing power ranges of the users is pushed to the users, effective and accurate commodity information push can be carried out on the basis of the accurate and complete item price range data, and the problems that the accurate commodity information can not be searched and matched when the commodity information is pushed in the prior art, the searching and matching operation takes up system resources excessively, and the system treatment efficiency is lowered are solved.

A device and method for contouring three-dimensionally curved surfaces includes an elongated contouring assembly that is supported at two locations by height adjustment mechanisms that raise and lower the two locations of the contouring assembly independently of each other. The contouring assembly creates a three-dimensionally curved surface as it passes over an area to be contoured. The control of at least one location of the contouring assembly is based on a comparison of the measured position of one portion of the contouring assembly with a profile of the surface to be leveled that is stored in a computer memory. Control of the height of the other location is preferably based on the height above a physical reference measured with a proximity sensor. A pivot or tilting controller may control the tilting of the contouring assembly to follow the slope of the profile stored in computer memory.

The invention relates to the battery electrical testing technology, especially relates to a battery charge state estimation method based on AEKF and an estimation system. Battery SOC can be estimated by adopting the self-adaption expansion Kalman filtering algorithm, and the parameter self-adaption adjusting way of the Kalman filtering algorithm can be changed by additionally providing the weighting coefficient based on the forgetting factor, and then the influence of the parameter initial value setting on the whole algorithm is small, and the phenomena of the inaccurate battery SOC initial value calculated by adopting the original ampere-hour integral method and the accumulated error can be overcome, and in addition, the battery SOC can be estimated accurately and reliable. The battery charge state estimation method and the estimation system are advantageous in that the convergence performance is good, the convergence speed is fast, the algorithm transplantability is good, and the use stable and reliable; the estimation method and the estimation system can be used for the electric vehicle battery management field, and can be used for the SOC estimation of the electric vehicle storage battery, and therefore the endurance mileage of the electric vehicle can be calculated accurately, the control of the driver over the vehicle can be facilitated; the estimation method and the estimation system are more suitable for the electric vehicle environment having the strong current fluctuation.

The invention discloses a low-voltage transformer area working condition monitoring and three-phase load balancing automatic adjusting system comprising a low-voltage multi-capacity capacitor, an automatic phase-change switch, residual current breakers, a power distribution network monitoring terminal and a system platform. The power distribution network monitoring terminal is connected with the system platform via a GPRS network. The residual current breakers are installed on all power supply branches of a power distribution network low-voltage side which is series-connected with the low-voltage multi-capacity capacitor. The residual current breakers are connected with the monitoring terminal via a 485 communication mode. The automatic phase-change switch is connected with the power distribution network monitoring terminal via a wireless electric power carrier. The low-voltage multi-capacity capacitor comprises multiple isometric charging elements which are connected in parallel. Parallel-connection wires of the isometric charging elements are connected in series with electric control switches so that capacitance compensation level matching is realized. Three-phase load balancing automatic adjustment and reactive compensation capacity level matching can be realized so that electric energy loss in a transformer area is reduced and frequency of three-phase automatic adjusting phase change in peak periods is reduced.

The invention relates to an autonomous celestial navigation method for a deep space explorer on a swing-by trajectory. The autonomous celestial navigation method comprises the following steps: establishing the corresponding equation of state according to the distance to a planet; calculating the location information of the planet by using the sensitive starlight angle distance detected by a star sensor and calculated by pure astronomic and geometry analytic method; and estimating the parameters of the navigation system by using a fuzzy multiple-model adaptive unscented Kalman filtering (FMMUKF) method. The invention is suitable for the navigation location of a deep space probe on a swing-by trajectory and applicable to the determination of navigation parameters of the deep space probe on a multi-celestial-body intersection swing-by trajectory, belonging to the technical field of aerospace navigation.

Electromagnetic cooker includes shell body, bedplate, heating coil, control board, bracket, heat elimination mechanism, and temperature sensing unit. Temperature sensing unit on middle part under the bedplate adopts magneto-dependent sensor. Beign fixed under the bedplate by bracket, the magneto-dependent sensor is in use for receiving magnetic signal sent from temperature sensing magnet steel of sensing heat conduction of pan bottom at setting temperature point. Thus, based on sensed signal, the magneto-dependent sensor can switch programs controlled by temperature. The electromagnetic cooker can design accurate automatic control program so as to reach effect of automatic electric cooker without need of taking charge for cooking rice. The electromagnetic cooker possesses advantages of accurate and timely detection.

The present invention provides an implement method of a multicast service agent and an implement system, and provides a node finding method realized by using the multicast service agent. The present invention provides an agent mechanism for a node using the multicast service agent, to ensure that the node to send the multicast information only requires the application agent of the multicast service agent, and requires not to construct a multicast group taking the node as a root, the application scope of the present invention comprises a service finding and a broadcasting notice, etc.; the node finding method provided by the present invention realizes the node finding in a local station scope; simultaneously, the node finding method can get the destination node information accurately and efficiently or send the information to a destination node.

An image conversion-based heterogeneous image block matching method provided by the invention has the following steps: acquiring training samples and test samples, constructing an image conversion network, training the image conversion network, constructing a feature extraction and matching network, training the feature extraction and matching network, predicting a matching result. The invention overcomes the problem that the feature difference of the heterogeneous image extraction is large and inaccurate in the prior art, effectively reduces the matching difficulty, and improves the accuracyand robustness of the heterogeneous image block matching.

The invention discloses a method and a system for optimal design and process control of a heat setting process of an elastic fabric. The method comprises the following steps of: a) establishing a heat setting process model of the elastic fabric according to relations among parameters of the elastic fabric, heat setting quality indexes and heat setting process parameters; and b1) acquiring the heat setting quality indexes by taking the parameters of the elastic fabric and the heat setting process parameters as initial conditions according to the heat setting process model; or b2) determining the heat setting process parameters by taking the parameters of the elastic fabric and the heat setting quality indexes of design requirements as initial conditions according to the heat setting process model, and selecting the optimal heat setting process parameter according to a preset determination rule, wherein the heat setting quality indexes at least comprise heat setting efficiency which is the ratio of breadth of a finished fabric to breadth during setting; the heat setting process parameters at least comprise heat setting time and a heat setting temperature; and the heat setting process model comprises a multivariate non-linear model for defining relations between the heat setting efficiency and the heat setting time as well as the heat setting temperature.

An apparatus includes a sensing screw capable of providing synchronous both pre-drawing of fiber Bragg grating and pre-tightening of bolt with induced characteristics to detect feedback control of large scale public engineering structures or precise equipments to facilitate fabrication of precise elements to achieve more precise control and record fabrication processes. Through the sensing screw apparatus a precision system structure can be formed to meet expectation of improved product quality and comprehensive recording of complete production process and physical characteristics at important points of the production process. The invention can provide instant onsite status and accumulate data or make parameter pre-action to avoid error accumulation, thereby improve production yield or safety of large scale structures.

The invention discloses a collaborative filtering recommendation method of user rating neighborhood information based on a fuzzy mechanism. The method has the technical scheme that the method comprises the following steps of: 1, obtaining rating information of a user on a project, and creating a rating matrix; 2, calculating the user rating membership according to the rating matrix, and calculating the contribution of the project to the similarity according to the project context information; 3, building user like and unlike similarity according to the rating membership and the similarity membership; 4, carrying out similarity value reduction on users with the small rating number, and building user Jnum similarity; 5, building user final similarity according to the user like and unlike similarity and the user Jnum similarity; 6, selecting first K users with the highest similarity values as reference neighborhood users according to the final similarity, and completing the prediction on target users. Experiment simulation results show that the method provided by the invention has higher recommendation quality than a conventional collaborative filtering algorithm, and can be used for recommending interested projects for the users.

An exemplary embodiment can be an apparatus for real-time, in situ measurement of gas compositions and heating values. The apparatus includes a near infrared sensor for measuring concentrations of hydrocarbons and carbon dioxide, a mid infrared sensor for measuring concentrations of carbon monoxide and a semiconductor based sensor for measuring concentrations of hydrogen gas. A data processor having a computer program for reducing the effects of cross-sensitivities of the sensors to components other than target components of the sensors is also included. Also provided are corresponding or associated methods for real-time, in situ determination of a composition and heating value of a fuel gas.

The invention provides a multi-target vehicle trajectory recognition method based on video tracking, and relates to the technical field of video monitoring. The method comprises the following steps: step 1, acquiring a monitoring video image, and setting related parameters; 2, acquiring all vehicle targets to be tracked in the image by adopting a YOLOv3 algorithm according to the video image, taking the detected N vehicles as tracking targets to obtain a Qth frame target frame set SQ of the N vehicles, and establishing a track set L = {L1, L2, L3,..., LN} by taking the central point of the target vehicle as a track recording point; and 3, carrying out vehicle target detection by adopting an improved YOLO v3 algorithm to obtain a target frame set SQ + 1 of Q + 1 frames, repeating the step until the collected monitoring video images are completely detected, and outputting a final track set L '. The method not only solves the problem of multi-target vehicle trajectory extraction precision, but also has good real-time performance, and also solves the problem that the existing vehicle trajectory extraction precision and speed based on a deep learning method are limited.

The invention discloses a method and a device for determining the water content of a fresh concrete mixture based on dielectric constant. According to the method, a relative dielectric constant of concrete is tested based on the propagation rate attenuation of an electromagnetic wave in the fresh concrete mixture and the reflection principle of the electromagnetic wave on a metal plate of a testing device, and then, in accordance with the principle that the relative dielectric constant is relatively sensitive to water, the propagation velocity of the electromagnetic wave in the fresh concretemixture is enabled to vary so as to lead to the variation of the relative dielectric constant, thus the water content of the fresh concrete mixture can be measured. The method has the characteristicsof no contact between an electromagnetic transmitting and receiving device and a tested object, large testing area and wide water ratio testing range. The method can be used for overcoming the defectthat the traditional method is insufficient in concrete adaptability, largely impacted by environment, inaccurate and unreliable, has greatly increased precision and speed in testing the relative dielectric constant of concrete, and has the characteristics of great simplicity in manufacturing testing device, good simplicity and convenience, accurate test results and outstanding operation easiness.

There is disclosed a method of estimating the location of a plurality of electromagnetic signal sources, comprising: scanning at a first plurality of locations to generate signal source position data, the signal source position data representing estimates of the position of at least one of said signal sources; scanning at a second plurality of locations using a signal detection system to generate signal detection data, the signal detection data relating to signals received at the second plurality of locations from the signal sources; processing the signal source position data in dependence on the signal detection data to correct estimation errors in the signal source position data; and outputting the processed signal source position data.

The invention relates to the technical field of pattern recognition and specifically to a human motion recognition feature expression method based on depth mapping. The human motion recognition feature expression method based on depth mapping is easy to implement, increases the accuracy of motion recognition, and comprises steps of: extracting, from a color image sequence of a motion-sensing video camera, a human motion space-time interest point p; computing a light stream feature and a gradient feature in the color image sequence by revolving around the human motion space-time interest point p; finding out, from a depth image sequence of the motion-sensing video camera, a corresponding human motion space-time interest point p' and acquiring the depth value of the p'; dividing the p into N layers according to the depth value of the p' and on the basis of a Gaussian mixture model, constructing multichannel expression based on depth mapping, clustering the space-time interest point of each layer by using a clustering algorithm and expressing the space-time interest point of each layer by using a bag-of-word model to obtain a histogram vector; and connecting the feature expression of each layer to form a feature S=(H1,..,Hi,..,Hn). The method is mainly used in the aspect of human motion recognition.

The invention relates to an autonomous celestial navigation method for a deep space probe on a near-earth parking orbit. The method comprises the following steps: performing continuous height (20-50km) modeling and fitting in the stratosphere on density scale height H according to data given by United States atmosphere standard in 1976, establishing a stellar atmospheric refraction model, establishing a novel measurement model by taking height difference at adjacent moments as observed quantity, and estimating the navigation parameters by adopting a method for correspondingly improving extended Kalman filter parameters. The autonomous celestial navigation method is applied to navigational positioning of the deep space probe on the near-earth parking orbit, errors caused by the environment can be eliminated on the basis that extra observed quantity is not increased, and the navigation accuracy is guaranteed.

The present invention relates to a one-dimensional interior ballistic modeling and performance prediction software system of a solid engine. The system comprises a nozzle type selection module, a charge data import module, a nozzle data input module, an igniter data input module, a user selected data input module and a calculated result display module. The nozzle type selection module is used forselecting the set nozzle type; the charge data import module is used for importing the charge data; the nozzle data input module is used for parameter input of the nozzle; the igniter data input module is used for parameter input of the ignition gas mass flow rate; the user selected data input module is used for parameter input of the working end pressure, the design temperature, and the like; andthe calculated result display module is used for displaying a calculated result. According to the system provided by the present invention, defects of the inaccuracy of the conventional zero-dimensional interior ballistic calculation method, the incomplete consideration of the factors affecting the interior ballistics, and the like are overcome, the simulation precision and the modeling speed ofthe internal ballistic performance of the engine are improved, the design and calculation efficiency of the solid engine is improved, and the product development cycle is shortened.

The invention discloses a UE type reporting method and device, a resource allocation method and device, UE and a base station. The UE type reporting method comprises the steps that the UE determines the parameters of the frequency band combination supported by the UE; the UE determines the UE types needing reporting according to the parameters of the frequency band combination; the UE reports the UE types needing reporting. By means of the UE type reporting method and device, the resource allocation method and device, the UE and the base station, the utilization rate of resources is improved.

The invention provides a network health degree testing method and a network health degree testing system. The method comprises the following steps of: acquiring multiple characteristic values of a network; setting preset health degrees for characteristic combinations of the characteristic values respectively; calculating the maximum entropy value of each characteristic combination based on the maximum entropy principle; and taking the preset health degree of the characteristic combination corresponding to the maximum entropy value as the health degree of the network. The sorting operation state of the current network is obtained aiming at the operation characteristic of the current network by acquiring the conventional network states and using the maximum entropy principle and finally revealed in a form of health degree, so that evaluation of the network health degree is realized, subjectivity and inaccuracy of human evaluation are overcome, and the problem of difficult human evaluation under the complex network condition is solved.

The invention discloses a full-view laser cutting bed. An electrical machine is connected with a gear of a discharging rubber roller through a belt; a mesh belt is arranged on a frame through a mesh belt bracket and can slide along a guide rail; the guide rail is arranged on the frame; the electrical machine and the discharging rubber roller are arranged at the front part outside the frame, one end of the discharging rubber roller is connected with the electrical machine and the other end is arranged on the frame through a fixed mount; a feeding rubber roller is arranged at the rear part of the frame, one end of the feeding rubber roller is arranged on the frame through a rubber roller bracket and the other end is arranged on the frame through a tension adjustment device; and a material pressing roller is arranged above the feeding rubber roller, the frame is provided with a camera for shooting images to be cut on the mesh belt, and the camera is connected with a control device. The cutting bed can cut according to shaped pattern surfaces and materials, and can be widely applied to textiles, clothing, printing, trademarks, advertising and other industries.

The invention discloses a low-voltage three-phase load unbalance automatic regulation system, which comprises a monitoring system platform and a monitoring terminal, wherein the monitoring terminal is connected with the monitoring system platform through a communication network. The low-voltage three-phase load unbalance automatic regulation system is characterized by also comprising a rest current circuit breaker and an automatic reversing switch, wherein the rest current circuit breaker is connected with the monitoring terminal through a 485 communication mode, and the automatic reversing switch is connected with the monitoring terminal through a wireless electric carrier wave communication mode. After the adoption of the structure, the history of artificial three-phase load balance regulation in the paste dozens of years is changed, the defects of inaccuracy and trouble caused by meter box unit current estimation and time-phased measurement on each branch phase line current for three-phase load balance regulation are overcome, in addition, the automatic regulation of the three-phase line load unbalance and monitoring and improvement of line terminal low-voltage are realized, the marketing management and monitoring on the transformer oil temperature and low-pressure side wire outlet head temperature are realized, and the power supply efficiency is improved.