195results about How to "Achieving Adaptiveness" patented technology

The present invention discloses a road detection algorithm of fusion of area and edge information. The algorithm comprises: collecting road image, and employing self-adaption median filtering and noise reduction to obtain enhanced images; selecting the R component of the enhanced images in the RGB color space, employing a maximum between-cluster variance (Otsu) method to realize the road area segment of the images to obtain a binary segmentation image, and optimizing the binary segmentation image through adoption of the serial mathematical morphology; detecting the binary segmentation image through adoption of the optimal edge detection Canny detector to detect the binary segmentation image and obtain the road edge detection information, and employing the Otsu method to calculate the dual threshold in the optimal edge detection Canny detector; and employing the binary segmentation image and the road edge detection information to obtain a road border line in the image. The road detection algorithm of fusion of area and edge information employs the image processing technology to detect and extract the road information for the autonomous navigation system of a cable tunnel robot; and moreover, the road detection algorithm of fusion of area and edge information is a self-adaption road border line segmentation fusion method and can obtain a smooth and accurate road edge.

Disclosed is an operation cross-domain control method in a grid computing environment; the method uses a trust mechanism to realize the operation control in the grid environment, makes trust evaluation to the available resources in the grid, analyzes the operation to be processed, and uses a mobile agent to transfer the operation to an appropriate resource for execution, according to the information provided by a control system in the grid. The proposal overcomes the disadvantages of poor reliability, non-guaranteed response time, over-long running time on the resources and imperfect fault management in other operation control proposals, and can achieve self-adaptation to the resource and operation control in the grid, reduce the grid traffic and improve the utilization rate of the network to form an operational parallel solution, thereby achieving the purpose of improving the utilization efficiency of grid resources and the execution efficiency of grid computing, speeding up the execution of tasks and improving the accuracy of the results so as to enhance the processing efficiency of distributed systems.

The invention relates to a method for monitoring the running state of an industrial glue spread robot based on a digital twin technology. Compared with the prior art, the method has the effect of resolving the defect that the running state is hard to predict for the industrial glue spread robot. The method comprises the following steps of obtaining the running state data, collected by a sensor, ofthe industrial glue spread robot; preprocessing the running state data of the industrial glue spread robot; establishing a driving model of digital twin equipment; evaluating the running state of theequipment preliminarily; correcting the driving model of the digital twin equipment; and monitoring the running state of the industrial glue spread robot. According to the method, by using the equipment running model driven by digital twin, the real-time evaluation of the running state of the industrial glue spread robot is achieved, so that more accurate operation suggestions and maintenance suggestions are obtained; and the effective management of the life cycle of equipment operation is achieved.

The invention discloses a self-adaptation camouflage design method based on a background. According to the method, on the basis of a texture synthesis algorithm based on pixels, a whole camouflage image is synthesized pixel by pixel; in the synthesis process, a self coding algorithm is adopted to extract a texture primitive containing background sample complete texture features, and a neighborhood of the pixels to be synthesized is determined; by means of the neighboring correlation principle and a helix supplement search mechanism, a neighborhood matched with a target pixel neighborhood is searched for in a background sample; similarity matching is carried out through a pixel and texture similarity matching rule, pixels in the neighborhoods which are most similar in the sample are selected to serve as synthesis pixels, pixels of a target image are synthesized according to the sequence of scanning lines, and after synthesis, color quantization is carried out on the image by means of the clustering algorithm to generate a final camouflage image. By means of the method, similar camouflage images can be synthesized quickly according to the background, and the application aim of quickly camouflaging a target in a self-adaptation mode can be achieved.

The invention provides a multi-target tracking method integrating obvious characteristics and block division templates. A target motion area is detected by adoption of RGB component background difference and an iterative threshold, and the adaptive ability of a motion detection algorithm to scene illumination change is improved. Based on target area block division, a motion pixel color saliency weighted block centroid model, block centroid shifting fusion and a scale updating method, the calculation efficiency is high, the resistance to partial occlusion is high, and the similar color scene jamming ability is strong. The problem of multi-target measuring-tracking distribution is solved by adoption of two-level data association, and an occluded local area can be accurately positioned. Therefore, adaptive template updating is guided by an occlusion matrix, a reliable global centroid transfer vector is obtained by making use of effective colors and motion information of blocks, and finally, continuous, stable and fast multi-target tracking in complex scenes is realized. The multi-target tracking method integrating obvious characteristics and block division templates is applied to fields like intelligent video surveillance, in-air multi-target tracking and attacking, and multi-task tracking intelligent robots.

The invention provides an energy prediction based energy management method of a plug-in hybrid electric vehicle. The method comprises the following steps: vehicle running route information is transmitted to a remote monitoring platform; the remote monitoring platform calculates out road vehicle weather data; the remote monitoring platform transmits the road vehicle weather data to a hybrid control unit (HCU); the HCU obtains state of charge (SOC) of a storage battery through a CAN bus; the energy demand of a vehicle running condition section is predicted through a neural network; a SOC reference trajectory is planned online; the automatic tracing optimal equivalence factor of the SOC reference trajectory is calculated out; the demand power of the vehicle and the current speed of the vehicle are calculated out; the optimal control vector is calculated out according to table look-up based on principle of minimum; all power sources in a hybrid power system are ordered so as to realize energy optimization control. Through the method disclosed by the invention, the approximate energy optimization control of the hybrid electric vehicle is realized, and the method has the characteristics of being self-adapted to conditions, good in economy, and easy to realize on actual vehicles.

The invention provides a large-current pulse LD laser driving power supply, comprising a discharging unit; the discharging unit comprises a bias circuit used for calculating the voltage reduction of external loads, and the bias circuit comprises a first MOS tube, a first resister, a second resister, a first variable resister and a first capacitor; the drain of the first MOS tube is connected with the cathode terminal of external load; the source of the first MOS tube is grounded by the first resister; the grid of the first MOS tube is connected with the first variable resister by the second resister so as to obtain a constant voltage value; the grid of the first MOS tube is also grounded by the first capacitor so as to stabilize the voltage. The large-current pulse LD laser driving power supply realizes large-current power supply to the load, realizes the self-adaptability of the external load, realizes the constant current charging to the energy-storage capacitor, is beneficial to improving the charging efficiency and protecting the energy-storage capacitor and realizes the protection of the multi-path protection circuit on the LD load and the power supply.

The invention discloses an adaptive detection method for a distance expanded object based on a variable-element generalized structure, belongs to the field of radar signal processing. Aimed at solving the problem that a covariance matrix estimation method and an adaptive distance expansion detector are hard to adapt to a transitional clutter environment, clutter non-Gaussian characteristic information is utilized reasonably, a unified covariance matrix fusion estimation framework is constructed, an adaptive detector of the distance expanded object is constructed in a product fusion form on the basis of general characteristics of detection statistics of present optimal distance expanded objects in the specific clutter environment, a single parameter is utilized to realize design of the detector for the distance expanded object in the transitional clutter environment as well as synchronous control of the corresponding clutter covariance matrix estimation method, the detector structure matches the corresponding clutter covariance matrix estimation method, parameters are set in a concise manner, the detection performance of a broadband radar in the complex clutter environment is improved effectively, and the popularization and application values are high.

The invention belongs to the field of medical image processing, and relates to a self-adapting shaded-area detail reproduction method for a tongue image with sufficient root-part illumination. The invention is provided aiming at tongue images with sufficient root-part illumination. According to the invention, under a condition of a same light source, positions of a shooting device and a shooting object are fixed; exposure times are changed, such that a set of tongue images with different exposures are obtained; the shooting device is subject to response curve estimating with a camera radiation calibration algorithm; according to an obtained three-channel response curve, tongue image sequences with different exposures are synthesized; irradiance values of all pixels of the synthesized tongue image are obtained; through tone mapping, the synthesized tongue image data is mapped to a common displaying device, such that the tongue image is displayed. During the mapping procedure, self-adaptation of the tongue image is achieved, and detail reproduction of tongue-roots with sufficient illumination is realized. With the method, mapping of the synthesized tongue image can be realized, such that details of tongue-roots with sufficient illumination can be reproduced. Therefore, light area and shaded area information of a real tongue can be better reproduced, and objectivity of traditional Chinese medicine tongue inspection can be promoted.

The invention belongs to the technical field of transmission control procedures such as a data chain stage control procedure and discloses a data chain information circulation control system based ona block chain as well as a method. The system disclosed by the invention is based on a weighted PBFT algorithm, can distribute weights specific to different entity characters of a data chain, fully considers significance of different characters of the data chain as well as influence of the different characters on consistency and has high flexibility; based on an access control scheme of the blockchain, consistency and tampering resistance of the block chain guarantee credibility of a contract self, a smart contract can be automatically executed, characteristics of the block chain are combined, and credibility of an access strategy output by the contract is guaranteed, so that data security is effectively guaranteed; and attribute encryption is combined with symmetrical encryption, data isencrypted by using a symmetrical encryption scheme, and a symmetric key is encrypted by using an attribute encryption algorithm, so that efficient encryption is guaranteed, and flexible access control is supported.

The invention discloses an all-weather multipath channel pedestrian flow monitoring system based on wireless infrared monitoring. The system comprises a video acquisition terminal, wherein the video acquisition terminal comprises active infrared monitoring cameras and video acquisition modules both installed at the inlets of various pedestrian flow monitoring channels, a codebook background module, an image preprocessing module and a wireless transmission module; and the system further comprises: a central server terminal for receiving acquired pedestrian flow data and performing projection, tracking and counting, wherein the central server terminal comprises a wireless reception module, a new pedestrian flow detection module and a pedestrian flow tracking and counting module. The invention provides an all-weather multipath channel pedestrian flow monitoring system based on wireless infrared monitoring, with excellent self-adaptive ability and outstanding reliability.

The invention relates to an infrared thermal imager and a method for detecting an infrared objective image by using the same. The infrared thermal imager comprises an infrared optical system, an imaging circuit component, a driving circuit and a monitor, wherein the infrared optical system comprises a varifocal objective; and a refrigerator projection screen, a combination optical mirror and an infrared detector are sequentially arranged behind the varifocal objective. The method for detecting the infrared objective image by using the infrared thermal imager comprises the following steps of: focusing an image of a scene; scanning the image; focusing, and converting an electric signal; and correcting temperature in real time, and controlling. The invention has the advantages that: the infrared thermal imager is smart in structure, simple and convenient to operate, quite high in reliability and accurate in temperature control; the problem of temperature difference between a reference calibration source and the scene in the prior art is solved; effects of real-time performance and self-adaptation in correction of the current scene are good; the uniformity of the corrected image is guaranteed; a correction effect is greatly improved; and the quality of the image is high.

The invention discloses a combustion process control and optimization system for a combustion gas turbine, which can be used for solving the problem that an existing combustion process is difficult to control and optimize in real time. The system comprises an online monitoring unit, an analyzing and predicating unit and a strategy assessing unit, wherein the online monitoring unit is used for feeding back acquired data information of the combustion process in real time to the analyzing and predicating unit to perform data processing and analysis according to the combustion process data information acquired by monitoring equipment to emit warnings for problems in the combustion process, and performing online regulation according to the control strategy given by the strategy assessing unit to complete online control and optimization; the analyzing and predicating unit is used for analyzing the combustion process data information fed back by the online monitoring unit to predicate the combustion process; the strategy assessing unit is used for determining the control strategy corresponding to the predicated results according to the predicated results of the analyzing and predicating unit and the preset combustion performance judge criterions, and feeding back the control strategy to the online monitoring unit in real time.

The invention relates to a grid-connected phase lock method for an electrified railway power treatment and adjustment device. The method comprises the steps that (1) power grid voltage unbalanced deformation is carried out on the three-phase alternating current component of the power grid voltage; Clark transform is carried out on the deformed power grid voltage; and the power grid voltage is mapped to an alpha beta stationary coordinate system to acquire V alpha beta; (2) the components v alpha and v beta of V alpha beta on alpha and beta axes are shifted by 90 degrees through a second order generalized integrator SOGI module respectively, and the positive-sequence component is calculated; and (3) the extracted positive-sequence component is replaced by the power grid voltage, and the phase lock loop of single synchronization coordinate system software is used to realize the phase lock function of the power grid voltage. Compared with the prior art, the method provided by the invention can effectively filter out harmonic components in the power grid voltage and extract the basic positive sequence component therein to realize successful phase lock.

The invention provides a method and a device for image defogging. The method combines a dark channel prior method and has better image defogging effects. The method includes: performing edge detection to a fogged image; blocking the fogged image to allow each image block to satisfy the condition that proportion of edge point number in the image to total pixel point number of the image block is in a preset threshold; and using the dark channel prior method to perform defogging calculation to the fogged image according to the blocks.

The invention discloses an unbalanced power adaptive optimization allocation method for a multi-end linear system. The method employs a dual-layer control structure comprising a primary sag control layer and a power rebalance optimization layer. The power rebalance optimization layer aims at the unbalance power caused by the frequent fluctuation of a load or new energy, and an equivalent cost expression of a system additional power generation cost caused by the power rebalance is deduced based on a multi-end flexible DC polar coordinate equivalent model comprising a voltage source converter station, a radial multi-end flexible DC common DC reference voltage is introduced, and a novel active power-DC voltage sag curve is designed. The proposed method irons out the defects that the conventional optimization control strongly depends on the high-speed communication and a centralized processing layer. The method can enable the white balance power to be adaptively and economically allocatedunder the normal condition, enables the additional power generation cost of a system to be remarkably reduced, still can maintain the DC voltage stability and power balance under the fault condition,and is remarkable in control effect.

The invention relates to a quantization offset information determination method, an image coding method and a device and electronic equipment, and relates to a video coding technology, and the methodcomprises the steps: obtaining a current image frame, and segmenting the current image frame into a plurality of image blocks according to a preset image size; for each image block, determining initial quantization offset information of the image block and content complexity information of the image block, wherein the content complexity information is used for representing the complexity degree ofimage content in the image block; and adjusting the initial quantization offset information according to the content complexity information to obtain target quantization offset information of the image block. Therefore, the image content condition of the corresponding image block is combined; according to the method, the quantization offset information corresponding to the corresponding image block is adaptively determined according to the quantization offset information of each image block, adaptive adjustment of the quantization offset information is realized, and subsequent coding based onthe quantization offset information corresponding to each image block is facilitated, so that the compression efficiency is not lost while the distortion of the image is reduced.

The invention discloses a mixed measurement-based video data panoramic imaging method, belongs to the field of image processing, solves the problems of low execution efficiency, low panoramic imaging precision and the like of the conventional panoramic imaging algorithm aiming at registering and splicing two images during processing the video data, and provides a mixed measurement-based panoramic imaging method. The method comprises the following steps of: 1, sampling to acquire a registration frame image; 2, sampling again to acquire the frame image to be registered; 3, performing effectiveness evaluation; 4, acquiring a registration parameter; 5, judging whether a transverse registration displacement and a longitudinal registration displacement exceed a threshold range respectively; 6, splicing the registration frame image of which the registration parameter is acquired and the frame image to be registered by using a tapered slot weighted fusion method, taking the spliced image as a next registration frame image, returning to the step 2 and performing the next image sampling, splicing until the video data sampling process is over and exiting the circulation to finish the splicing process of a panoramic image.

The invention provides a soft-measuring method for density in concentrating process of salvia miltiorrhiza injection production, comprising the following steps: gathering the historical data of each sensor and densimeter in the concentration process of salvia miltiorrhiza, wherein the history data relate to concentrated solution density value and sensor data gathered on line in production process;selecting easily obtained procedure variables including gas phase temperature, liquid phase temperature, pressure and concentrated solution liquid level that have higher degree of correlation with density from each sensor data, and screening representative dataset; using a multivariate analysis method for building a soft-measuring model of density; and gathering the procedure variables on line, and using the soft-measuring model of density to carry out real-time estimation to control the concentration process. Aiming at the problem that the density in the concentration process of salvia miltiorrhiza injection production is difficultly monitored in real time, the invention provides a fast density soft-measuring method with high precision, which makes full use of the history data obtained by each sensor from the production process, and is beneficial to improvement of quality control on salvia miltiorrhiza injection production.

The invention provides an RSSI (received signal strength indicator) distance measuring method based on a cost-reference particle filter. The method comprises the following steps of: arranging anchor nodes in an indoor environment, and planning a moving path of a mobile node; enabling the mobile node to move according to the planned path, and acquiring data packs sent by different anchor nodes at each predetermined position; performing Gaussian filter preprocessing on the data packs acquired at each position; and performing cost-reference particle filter processing on the data after preprocessing so as to estimate the distance between the anchor nodes and the mobile node. The method provided by the invention improves the present situation that distance measurement requires a lot of priori experiments to fit models, is suitable for a situation with unknown noise in a wireless signal transmission attenuation process, and has the characteristics that a latest observed value is used for sequential estimation, and real-time adaptive adjustment is performed according to environmental data; adaptive fading factors are introduced to dynamically adjust the influence degree of history observed values on an estimation process; a loop-locked adjustment strategy is adopted to calculate feedback coefficients, enhance system robustness, and improve the precision of distance measurement.

The invention discloses a self-adaption cross-page seal stamping mechanism used in a multi-seal stamping machine. The self-adaption cross-page seal stamping mechanism structurally comprises a vertical pressing seal head drive device positioned on a rack and a seal body assembly limited on a station disc, and a drive pressing handle in the seal head drive device makes contact with a driven rod in the seal body assembly. The self-adaption cross-page seal stamping mechanism is characterized in that the station disc is limited in a designed station position by means of a rotating shaft and has 2-5 degree rotating and swing freedom, the lower end face of the drive pressing handle in the structure of the seal head drive device is a plane or arc convex surface, and the upper end face of the driven pressing rod in the seal body assembly is an arc concave surface. The self-adaption cross-page seal stamping mechanism is ingenious in design and simple and reasonable in structure, the seal body assembly and the station disc can perform low-amplitude self-adaption deflection to stamp a cross-page seal when an automatic stamping machine meets a slope, and in the actual work process, the self-adaption cross-page seal stamping mechanism not only can reduce workloads of working staff, but also can effectively improve working efficiency.

The invention relates to a fuzzy kernel clustering method for self-adapting preferred naphtha attribute clustering numbers based on Gaussian nucleation validity indexes. The density and distance based initial clustering center selection method successfully solves the problems that fuzzy kernel clustering methods are sensitive to initial values, the operation speed is low and the implementing time is long. According to the method, a density measurement method is defined to select data objects with high densities to serve as initial clustering centers, the problem that the method is sensitive to initial values is effectively solved, and simultaneously, a two-dimensional array is set to store distances among naphtha attribute data, so that the calculation time is greatly shortened, and the clustering efficiency is improved.

The invention discloses a method for controlling a reinforcement learning adaptive proportion integration differentiation-based distribution static synchronous compensator, which comprises the following steps of: deducing a current-voltage conversion equation in a d-q coordinate system according to a instantaneous power balance formula; respectively regulating an error between a given voltage value and a practical measured value and an error between a DC side capacitor voltage command value and a practical measured value by a reinforcement learning adaptive PID control algorithm in the controlrealizing process so as to obtain an active command signal and a passive command signal; performing voltage-current conversion in a mathematical model to obtain a voltage signal; and carrying out coordinate transformation to obtain a required voltage modulating signal. The method uses the reinforcement learning adaptive PID control algorithm to prevent a condition of unstable performance of a controller caused by the variation of an equivalent parameter in the conventional PID control, realizes the adaptive capability of the controller well and improves the control accuracy.

The invention discloses an energy efficient fog computing migration method based on deep learning. Firstly, a fog computing migration optimization problem of task completion time minimization is constructed, a fog computing migration decision algorithm based on deep learning is provided for solving the optimization problem, the algorithm has relatively fast convergence performance, and the task completion time in a complex network scene can be reduced to the greatest extent; secondly, in order to further optimize the energy consumption of fog computing migration, a terminal user energy consumption minimization fog computing migration optimization problem is constructed, an optimal transmission power distribution solving algorithm is provided for solving the optimization problem on the basis of an optimal migration decision solved by the migration decision algorithm, and the solving algorithm dynamically distributes transmission power, so that the optimal transmission power, namely theminimum energy consumption, is obtained; finally, the specific implementation of the method verifies the advantages of the fog computing migration method in reducing task completion time and user energy consumption.

A peer-to-peer communication and file transfer method oriented to wide area networks comprises the following steps that: (1) the network position of a user is judged, and the communication mode is judged according to the network positions of an initiating side and a receiving side carrying out network communication; possible situations are as follows: communication among users in the same internal network, communication among users in public network, communication initiated by internal network users to public network users, communication initiated by public network users to internal network users, communication among users in different internal networks; (2) if the communication mode belongs to the communication among users in the same internal network, the communication among users in public network or the communication initiated by internal network users to public network users, the TCP protocol 'three-way handshake' mechanism is adopted to establish connection; if the communication mode belongs to the communication initiated by public network users to internal network users or the communication among users in different internal networks, the NAT / NAPT penetration method based on UDP protocol is adopted to establish connection; (3) communication or file transfer is carried out after successful connection. The present invention realizes the peer-to-peer communication and the file transfer for wide area network users, and has good self adaptability and transfer reliability.

The invention discloses a power amplifier circuit, a control method and an earphone system. The power amplification circuit is used for driving an earphone, and comprises an earphone working parameter detection module used for detecting a working parameter of the earphone; a signal output module used for outputting signals to the earphone; and a signal processor used for determining whether an earphone leak exists according to the working parameter of the earphone detected by the earphone working parameter detection module, and changing the signals output to the earphone by the signal output module when the earphone leak exists. The power amplifier circuit provided by the invention can also achieve good sound effect and self-adapting effect in the case that a user wears the earphone improperly, and in addition, can also prompt that the user wears improperly and adjust a wearing angle and a wearing position via warning sound or by a mode that a playing terminal displays a leak detection result, and thus the earphone can achieve better use effect.

The invention provides a photovoltaic system MPPT fuzzy active-disturbance-rejection control method, controller and system. A model of a photovoltaic power supply system based on a Boost convertor isestablished; disturbance is added around model stable working points, and a small signal dynamic equation of the Booster convertor is obtained; Laplace transformation is conducted on the small signaldynamic equation of the Booster convertor, and thus a transfer function of duty ratio disturbance quantity and photovoltaic battery output voltage disturbance quantity can be obtained; an output voltage is referred to design a first-order differential tracking device, an expanded state observer and an error state feedback control rate; and fuzzy control is used in the active-disturbance-rejection controller, the fuzzy control and the active-disturbance-rejection controller are combined to be applied to MPPT, through a fuzzy active-disturbance-rejection control strategy, the process of adjusting the parameter settings of the active-disturbance-rejection controller is simplified, adaptivity of the controller parameters is achieved, thus the MPPT control strategy has good disturbance rejection, dynamic response, stability and robustness, and the complex process of parameter setting is avoided.

The invention relates to a multi-friction pendulum isolation bearing with variable friction. The multi-friction pendulum isolation bearing with the variable friction comprises a first connecting baseplate, a connecting sliding block, a central sliding block, a second connecting base plate; the spherical convex surface of the connecting sliding block is in contact with the spherical surface of thespherical concave of the first connecting base plate, the spherical convex surface at one end of the central sliding block is in contact with the spherical surface of the spherical concave of the connecting sliding block, and the spherical convex surface at the other end of the central sliding block is in contact with the spherical surface of the spherical concave of the second connecting base plate; and the connecting sliding block is located between the first connecting base plate and the central sliding block, the central sliding block is located between the connecting sliding block and the second connecting base plate, the friction coefficient between the first connecting base plate and the connecting sliding block is a variable value [um]1, the friction coefficient between the connecting sliding block and the central sliding block is a constant value [um]3, and the friction coefficient between the second connecting base plate and the central sliding block is a constant value [um]2. The multi-friction pendulum isolation bearing with the variable friction has a good function of friction damping and vibration isolation and belongs to the technical field of vibration isolation.

In accordance with the Provision 105 of the Coal Mine Safety Regulations, the mine must establish a wind measurement system. High-precision on-line automatic measurement of the mine tunnel air volumeis the basis of advanced early warning and intelligent regulation and control of the mine ventilation system, and the safety level of mine production can be improved. The invention provides a high-precision intelligent mine ventilation air volume online measurement method and device based on multi-sensor information fusion. The device takes an embedded system as the core of measurement, data processing and communication, integrates a thermal conductivity type wind speed sensor, a wind direction sensor, a distance measuring sensor and an environmental parameter measuring sensor, and can realizethe functions of high-precision online nondestructive measurement of the wind volume, automatic identification of the wind direction and on-site debugging-free automatic calibration. Besides, the measurement device obtains the air volume measurement value of the associated air path based on communication, the air volume measurement value of the tunnel can be verified, the correct value of the airvolume of the tunnel is obtained by combining the self-diagnosis function of the device, and the reliability of tunnel ventilation volume detection is further improved.