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68results about How to "Improve information utilization" patented technology

Multi-hierarchy relationship information management system based on cloud computing and design method thereof

The invention discloses a multi-hierarchy relationship information management system based on cloud computing. The multi-hierarchy relationship information management system based on the cloud computing comprises a cloud service platform and a client. The cloud service platform comprises a physical resource layer used for storing information data of all organization hierarchy units, a processing platform layer used for processing the information data on the physical resource layer, a displaying application layer used for displaying the information data and a management layer used for managing and maintaining the physical resource layer, the processing platform layer and the displaying application layer. According to the multi-hierarchy relationship information management system based on the cloud computing, a mode of one longitudinal layer and three transverse layers is provided and used for supporting the whole multi-hierarchy organization structure, and the whole system is made to meet requirements for 'one base, one platform, and one network' due to the fact that the multi-hierarchy relationship information management system based on the cloud computing is established. In addition, rich cloud computing abilities and a friendly user interface are provided, and the purpose that mass information is obtained from the interior of an organization, applied to the interior of the organization and analyzed by the interior of the organization is achieved. Therefore, safety performance and the information sharing rate of the system are improved, resources are utilized efficiently, and requirements that information is more integrated, supervision is more strict and decision-making is more convenient are met.
Owner:CHONGQING UNIV

Fault-tolerant wide-range parallel six-axis force sensor

The invention discloses a fault-tolerant wide-range parallel six-axis force sensor, which mainly comprises an outer fixing ring, an inner proving ring, more than six detection branches and three or four bearing branches, wherein an annular polyhedron is formed by enveloping the inner proving ring and the outer fixing ring with a plane which is vertical to a branch axis; the inner surface of the inner proving ring is provided with a screw thread; the upper surface of the outer fixing ring is provided with a plurality of through holes, and can be connected with the outside through a bolt; the bearing branches are high-stiffness beams; the two ends of the high-stiffness beams are fixedly connected with the outer side of inner proving ring and the inner side of the outer fixing ring respectively; the detection branches are arranged pairwise among the bearing branches; the two ends of the detection branches are connected with the outer side of the inner proving ring and the inner side of the outer fixing ring through elastic spherical hinges; and a strain foil is attached to the middle part of each detection branch. The sensor can have an integral or assembled structure. The fault-tolerant wide-range parallel six-axis force sensor is reliable in structure, has high rigidity, a wide range and fault tolerance performance, and can be widely applied to the six-axis force measuring environment of a plurality of sensors requiring wide ranges and high reliability such as six-axis force measurement of aerospace, military, nuclear industry, robots, automobiles and the like.
Owner:YANSHAN UNIV

Intelligent highway warning trolley

InactiveCN104612073AAccurate trackingReal-time monitoring and feedback of road conditionsTraffic signalsRoad signsInformation processingAutomatic control
The invention discloses an intelligent highway warning trolley, belongs to the field of highway information processing, and relates to a road condition information prompting device. The intelligent highway warning trolley comprises a warning board, a camera, a wireless communication module, a chassis, a motor, a visible light luminance sensor, a motor driving module, a central processing module, a gray level sensor, wheels, a power source, a warning board fixing support, a stretching support, a pyroelectric infrared sensor and a hand-held terminal. The warning board is fixed to the front portion of the chassis through the warning board fixing support, and the camera is fixed to the front portion of the chassis in the mode of being tightly attached to the warning board. The wireless communication module is fixed to the back middle portion of the chassis in the mode of being tightly attached to the central processing module through a supporting column. By means of the intelligent highway warning trolley, warning marks can be carried on highways in all levels, the road conditions can be monitored and fed back in real time, and the intelligent highway warning trolley can automatically walk to the preset position. The hand-held terminal is controlled through wireless communication, has the hand-held control mode and the automatic control mode, and free switching is achieved.
Owner:HENAN POLYTECHNIC UNIV

Intelligent chemical adding control system and method for water purification plant based on digital twinning

The invention belongs to the technical field of water treatment and discloses a water purification plant intelligent chemical adding control system and method based on digital twinning. The method comprises steps that digital twins of a dosing room is established; real-time monitoring data in the operation process of the physical dosing room is acquired through data acquisition equipment, and is transmitted to the management platform through the network transmission system; the management platform transmits the real-time monitoring data to the digital twins of the dosing room through the network transmission system; the digital twins of the dosing room dynamically map the production condition of the physical dosing room; three-dimensional visual monitoring and display on the digital twinborn body in the dosing room are carried out through a three-dimensional visual system; the management platform predicts the dosage by using an LSTM neural network based on the real-time monitoring data to obtain the dosage prediction information, and obtains the adjustment control information according to the dosage prediction information and the real-time monitoring data; and the physical dosing room adjusts the dosing amount according to the adjustment control information. The method is advantaged in that a problem of serious waste of a flocculation dosing mode in a water plant can be solved.
Owner:WUHAN UNIV OF TECH

Music recommendation method and system based on knowledge graph

The invention discloses a music recommendation method and system based on a knowledge graph, belongs to the field of knowledge graphs and content recommendation, and aims to solve the technical problem of how to improve the accuracy of music recommendation by using context information in auxiliary information. According to the technical scheme, the method specifically comprises the following steps: constructing a music recommendation knowledge graph: constructing the music recommendation knowledge graph by utilizing an original music data set, obtaining potential interests of a user, and stimulating the propagation of user preferences on a music knowledge entity set according to the potential interests; constructing an ST_RippleNet model: constructing the ST_RippleNet model by integrating various source heterogeneous data in the music recommendation knowledge graph, introducing a low-dimensional vector and adopting a triple multilayer attention mechanism, so as to make full use of knowledge information of the music recommendation knowledge graph; carrying out model optimization, wherein an RMSProp optimizer is used for carrying out optimization on the ST_RippleNet model; and constructing a loss function of the ST_RippleNet model, wherein the loss function is improved, and the loss of the ST_RippleNet model in the recommendation process is reduced.
Owner:QILU UNIV OF TECH

Part and system test based reliability evaluation method for automobile automatic gearbox

The invention discloses a part and system test based reliability evaluation method for an automobile automatic gearbox, and belongs to the technical field of automobile automatic gearbox research. The method comprises: performing part reliability evaluation according to test data of parts such as a hydraulic torque converter, an electro-hydraulic operation apparatus, a gear speed change mechanism, a gear shifting clutch and the like in the automobile automatic gearbox, and obtaining reliability prior information of a system according to a serial model; performing reliability evaluation according to system-level test data to obtain reliability field information of the system; and further, performing Bayesian data fusion on the prior information and the field information to realize part and system test based reliability comprehensive evaluation of the automobile automatic gearbox. According to the method, the reliability evaluation of the automobile automatic gearbox can be performed by utilizing test information of the parts and the system, and the characteristics of reliability problems of mechanical parts can be reflected, so that an evaluation result is relatively high in credibility and the information utilization rate is high.
Owner:鲍珂

Disaster cellular alarm linkage system based on interval argumentation multi-sensor fusion of particle swarm optimization

ActiveCN113053053ARealize one-key alarmKnow the fire situation in timeData processing applicationsEpidemiological alert systemsFire alarm systemFire - disasters
The invention discloses a disaster cellular alarm linkage system based on interval argumentation multi-sensor fusion of particle swarm optimization. The system comprises a fire monitoring alarm linkage system, a public fire alarm system and a property management platform, and is characterized in that the fire monitoring alarm linkage system comprises access control terminals of building doors of all units of a community and cellular user terminals, and emergency alarm switches are arranged on both a real estate management platform and the fire monitoring alarm linkage system; the public fire alarm system comprises a CO sensor, a smoke sensor, a temperature sensor and an alarm controller which are arranged in a resident of a community, and a fire judgment data fusion algorithm based on IPSO optimization interval demonstration multi-sensor fusion is arranged in the alarm controller. According to the present invention, the fire monitoring and alarming linkage system is matched with the public fire alarming system to work, the automatic fire alarming and the manual fire alarming are integrated, and the uncertainty of the sensor measurement data is eliminated based on the fire judgment data fusion algorithm based on IPSO optimization interval demonstration multi-sensor fusion.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY

Load identification and multi-sensor fusion sensing method and device

The invention discloses a load identification and multi-sensor fusion sensing method and device, and belongs to the technical field of power monitoring, and the method comprises a power monitoring unit which is used for installing one or more intelligent sensors on an existing power grid to carry out the monitoring and collection of current and voltage; information processing: processing the acquired information by using algorithms of different theories; in the sensing fusion process, complete information about electric power is obtained by using a plurality of sensors, and the survival ability of an electric power system is enhanced in the aspects of detection, tracking and electric power identification by using a multi-sensor data fusion technology. Through reasonable control and use of multiple sensors and observation information thereof, redundant or complementary information of the multiple sensors in space or time is combined according to a certain criterion so as to obtain consistent explanation or description of a tested object, data is processed based on NILM, decomposition and analysis of a power grid can be realized, and the reliability of the power grid is improved. And the limitation when load identification is carried out by using the load steady state characteristic information can be overcome to a certain extent.
Owner:AEROSPACE SCI & IND SHENZHEN GROUP +1

Characterization method of similarity of polarized synthetic aperture radar image

The invention provides a characterization method of similarity between polarized synthetic aperture radar images, belonging to the radar image processing technology field. The method comprises the following steps: in a plurality of multi-polarization SAR images whose similarity is to be characterized, calculating a coherent coefficient gamma13 between an HH channel and a VV channel of all pixel points (x, y) of each multi-polarization SAR image, and obtaining a coherent graph gamma corresponding to each multi-polarization SAR image; calculating a similarity MI (gamma A, gamma B) based on mutual information between any two images in the plurality of multi-polarization SAR images whose similarity is to be characterized, wherein MI (gamma A, gamma B)=H(gamma A)+ H(gamma B)-H(gamma A, gamma B). According to the invention, a coherent coefficient between copolarization channels is utilized to carry out similarity characterization, and utilization rate of image information is raised; when estimating a coherent coefficient between polarized channels, not only is information of center pixel is utilized, but also polarized information of a surrounding pixel is utilized, and robustness of the coherent coefficient is raised; mutual information measure with good anti-noise performance and acutance characteristic is employed carry a coefficient information source so that the similarity characterization is carried out; thereby a base is established for subsequent accurate efficient multipolarization SAR image rectification.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA

Non-ferrous metallurgy unit process digitization and modeling method based on process state space

The invention belongs to the technical field of industrial process control, and particularly relates to a non-ferrous metallurgy unit process digitization and modeling method based on the process state space. The method comprises the steps that S1, high-dimensional process parameters related to dynamic characteristics of a non-ferrous metallurgy overall process are obtained and divided into controlled variables, inlet conditions and reaction conditions, encoding is conducted, and the process state space is established; s2, low-dimensional depth features are extracted from the high-dimensionalprocess parameters, and the process state space is divided into subspaces for different working conditions according to the variance of the depth features; s3, under a process state space framework, the unit process dynamic characteristics of the subspace are expressed as the sum of a nominal term and a deviation term, and the deviation term is introduced by regression of low-dimensional depth characteristics; s4, according to the positions of the unit processes in the process state space, the probabilities of the unit processes belonging to different working conditions serve as weights, the unit process models under the different working conditions are weighted, and a real-time dynamic model is obtained. The method is high in modeling precision and high in information utilization rate.
Owner:CENT SOUTH UNIV

Ultraviolet light cooperation multi-sensor data fusion unmanned aerial vehicle friend or foe identification method

The invention discloses an ultraviolet light cooperation multi-sensor data fusion unmanned aerial vehicle friend or foe identification method, which comprises the following steps: dividing unmanned aerial vehicle target feature information obtained by a radar sensor, an ultraviolet light detection sensor and an ESM sensor into a training group and a test group, training a BP neural network through the training group, and verifying the correctness of the BP neural network through the test group; secondly, after unmanned aerial vehicle target feature information is input, enabling the BP neural network to automatically classify unmanned aerial vehicle target attributes, and using the IFF system and the BP neural network to obtain a target recognition probability; then, judging target attributes of the unmanned aerial vehicle by using a D-S evidence theory, and distributing corresponding weight values; finally, fusing the weight values obtained by the sensors and the IFF system, unifying friend or foe identification attributes, and obtaining an identification result. According to the method, the friend or foe identification is carried out by adopting multi-sensor data fusion, so that the obtained target information has higher resolution and reference, and a more accurate identification result is obtained.
Owner:XIAN UNIV OF TECH
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