37results about How to "Dynamic acquisition" patented technology

The invention discloses a tunnel body form deformation mobile monitoring system and a monitoring method thereof. The hardware comprises a laser scanner, a CCD camera, a speed meter, an inertial navigator, a central control unit and bar codes. The central operation control unit leads the hardware of each sensor to be synchronous, stores the data of each sensor and carries out the corresponding position and stature calculation so as to process the obtained point cloud data of the tunnel sections; the bar codes are distributed at the positions on the tunnel surface where the CCD camera can shoot and the storage position information of the bar codes is adopted as the position reference of moving carriers and sensors. The hardware of the tunnel body form deformation mobile monitoring system provided by the invention is helpful for quickly and dynamically collecting space data and for further carrying out the body form deformation analysis through three dimensional modeling and reconstruction of models so as to monitor the deformation process continuously.

The invention provides a power system abnormality prediction method based on machine learning and big data analysis, and the method comprises the following steps: collecting original data of a relatedpower grid fault from a database, and segmenting of the original data according to a time sequence to acquire a data sequence; preprocessing the data sequence to obtain a corresponding characteristicvalue and an abnormal degree value, and forming sample data by the data sequence, the characteristic value and the abnormal degree value; performing secondary processing, sampling, conversion and feature design and selection on the sample data, and then performing data classification to obtain feature data corresponding to the sample data; constructing a machine learning model, and inputting thefeature data into the machine learning model for training to obtain a trained machine learning model; and accessing the trained machine learning model to a database line to obtain real-time power griddetection data, inputting the real-time power grid detection data into the trained machine learning model, and outputting to obtain a power system anomaly prediction result.

Provided is a shape information storage portion in which shape information, which is information specifying a shape of a solid object, which is a three-dimensional object, can be stored; a placement information storage portion in which placement information, which is one or more pieces of information that can be placed on a surface constituting the solid object, can be stored; an acquisition condition information storage portion in which acquisition condition information, which is information indicating a condition for acquiring information that is to be each placed on one or more surfaces constituting the solid object from the placement information, can be stored; and a surface information acquiring portion that acquires surface information, which is information that is to be placed on one or more surfaces of the solid object, from the placement information, using the acquisition condition information.

The present disclosure relates to a flexible sensor and a flexible signal detecting device, comprising: a strain sensor member for obtaining a first signal according to a deformation of a to-be-testedportion of a detected object; an optical sensor member for obtaining a second signal according to the deformation of the to-be-tested portion of the detected object; and a flexible substrate for carrying the strain sensor member and the optical sensor member, and the flexible substrate can be bonded to the surface of the to-be-tested portion of the detected object, so that the flexible sensor isbonded to the surface of the to-be-tested portion of the detected object, wherein the strain sensor member, the optical sensor member and the flexible substrate are all made of flexible materials. Theflexible sensor of the present disclosure integrates the strain sensor member and the optical sensor member, the strain data of the to-be-tested portion of the detected object in a plane and the curvature change data of the orthogonal direction can be acquired in real time and dynamically, and the deformation signal of the to-be-tested portion can be more accurately reflected.

The invention provides a bus stop passenger flow detection system and method. Multiple Bluetooth detectors are arranged in bus top waiting areas, so that comprehensive, dynamic and accurate collection on waiting passenger information of all bus stops is achieved, the advantages of being high in precision, low in manufacturing cost, convenient to install and maintain and the like are achieved, data support is provided for bus dispatching, bus line optimization, bus information service and the like, and the management capacity and service level of the public transportation department are significantly improved.

The invention discloses a web mining-based remote sensing product search limited item semantic extension method. The method mainly comprises the following steps: extracting brief introduction content and time information on the basis of a network search result so as to form an extract chapter; extracting time words and space words in the chapter, and labeling basic time expressions corresponding to the time words and the space words; normalizing the labelled basic time expressions; counting the normalized basic time expressions and the space words, ad taking the time and space words which appear at high frequency as extension results. In allusion to the problem that the time and space information input by users has fuzziness, reference performance and dynamics in remote sensing product search, the web mining-based remote sensing product search limited item semantic extension method is disclosed, so that integrated time and space information is positioned, the semantic extension carried out on user input information is realized, the user demands can be correctly understood, and the correctness and timeliness of the search are improved.

The invention aims to provide a method and a device of acquiring application control information. The method includes: acquiring an activity interface of a to-be-tested application according to a predetermined time interval, wherein the activity interface is changed according to user operations simulated by a first test tool; acquiring the control information from the activity interface; and writing the control information into a predetermined file. Compared with the prior art, the solution of intelligently capturing the UI (User Interface) control information of the to-be-tested application provided by the invention solves the problem of low efficiency caused by the need for manually acquiring the interface control information at every turn in the prior art, realizes an objective of quickly, dynamically and flexibly acquiring and managing the interface control information of the to-be-tested application, carries out unified management on the acquired control information in the predetermined file, eliminates the problem of script hard-coding, can grasp, in addition, a change situation in first time when the control information on the UI is changed, and plays a huge role in the context of quick iteration of the mobile app.

The invention relates to a security risk state analysis method for a sensing layer of an electric power internet of things, which is characterized by comprising the following steps of: step 1, acquiring and storing related information of all terminal equipment in the sensing layer of the electric power internet of things; step 2, acquiring a plurality of equipment state type tags based on the related information, and judging the security risk of the terminal equipment; step 3, acquiring a network flow abnormal condition and a network access abnormal behavior of the terminal equipment based on a pre-generated network flow feature model and a pre-generated network access behavior feature model; and step 4, displaying the equipment state type information, the security risk information, the network flow abnormal condition information and the network access abnormal behavior information obtained in the step 2 and the step 3 in a classified manner by adopting a visualization method. According to the method, the analysis result is comprehensive and accurate, the analysis process is intelligent and rapid, meanwhile, the good visualization effect is achieved, and the safety degree of the system is improved.

The invention relates to a self-adaptive learning feature extraction system based on dynamic learning style information and application, and the system comprises a first information collection modulewhich is used for dynamically collecting and storing the process information of a pre-learning test of a user; The second information acquisition module is used for acquiring and storing learning style self-evaluation information input by the user; and the learning feature generation module is used for carrying out matching processing on the process information and the learning style self-evaluation information to generate a learning style feature value of the user. Compared with the prior art, the method has the advantages that the learning style characteristics of the user can be accuratelyobtained, and then the learning efficiency is improved.

The invention relates to an automatic collection device for insect images in a field environment, relating to an automatic collection device, in particular to an automatic collection device for insect images in a field environment. It is composed of computer, acquisition workbench and its transverse feed system, image acquisition system and control system. A 160W self-ballasted fluorescent high-pressure mercury lamp is selected as the lure light source, and the trapped insects crawl on the white collection workbench screen; the control system controls the lateral feed system and the screen driving device to realize the x-direction movement of the collection workbench and white collection The z-direction movement of the workbench curtain; in order to collect the number of insects photographed on the curtain at different time periods, multiple images are scanned and captured in real time every 30 minutes; the camera and image acquisition card are used to shoot the collection workbench curtain with insects attached to it, and the computer Acquire insect images; connect with the control system through the computer to realize the motion and automaticity of the image acquisition device. The number of insect populations in a certain area can be obtained dynamically in real time.

The present disclosure provides a data acquisition method, apparatus, device and computer readable storage medium. According to the embodiments of the present disclosure, determination is made as to whether a preset stable driving condition is met based on acquired driving scene data of the driving scene where the vehicle is currently located, and acquired driving behavior data; if the preset stable driving condition is met, the driving scene data and the driving behavior data are acquired at a frequency lower than a preset sampling frequency. As a result, it is possible to reduce data redundancy in similar scenes and similar diving modes, reduce the amount of data, reduce occupation of the storage resources and transmission resources and facilitate subsequent analysis, and it is possible to implement the dynamic acquisition of driving scene data and driving behavior data by scenes and modes.

The invention discloses a wireless communication system node transmission state signaling indication method, a wireless communication system comprises network equipment, intermediate equipment and user equipment, and a service signal generated by the network equipment is received by the user equipment after passing through the intermediate equipment. The method comprises the following steps: a downlink control signaling comprises indication information of a transmission state of an intermediate device and an occupation time period of the intermediate device; the transmission state comprises a first state as an activated receiving state, a second state as an activated sending state and a third state as a passive transmission state; the minimum particle of the occupied time period is a symbol; the downlink control signaling comprises at least one of the following signaling: a semi-static cell dedicated control signaling, a semi-static node dedicated control signaling and a dynamic control signaling. The invention further comprises equipment and a system for realizing the method. The problem of how to control the working state of the intermediate equipment in a mobile communication system with an intermediate node facility is solved.

The invention discloses a deformation sensor and a device for measuring load of a vehicle hub, and an automobile. The deformation sensor comprises a metal lining fixed on the surface of the hub, and aresistance strain gauge fixed on the metal lining, wherein the resistance strain gauge is fixed on the metal lining by means of a structural adhesive. The deformation sensor and the device for measuring the load of the vehicle hub and the automobile can obtain the load of the automobile rapidly and dynamically, and are low in cost.

The invention relates to a traditional Chinese medicine health state identification method based on artificial intelligence. The method comprises the following steps of: collecting a plurality of original samples, wherein the original samples comprise human health data corresponding to the observation, listening, asking and cutting of the traditional Chinese medicine theory; training a feature identification model capable of outputting different feature parameters according to the human health data; performing feature fusion on different feature parameters output by each feature extraction network to form a diagnosis sample; training a traditional Chinese medicine health state evaluation model capable of evaluating the traditional Chinese medicine health state according to different feature parameters; and collecting human health data of the user, inputting the human health parameters into the feature identification model, and outputting an evaluation conclusion of the traditional Chinese medicine health state of the user through the traditional Chinese medicine health state evaluation model.

The invention discloses a minitype intelligent aircraft for air quality collection. The minitype intelligent aircraft comprises a fuselage, pulleys, a plurality of air quality sensors arranged on the fuselage and an undercarriage and a receiving and display module mounted inside a driving cab, wherein the pulleys are connected onto the bottom of the fuselage through the undercarriage; the driving cab is arranged at the front part of the fuselage; an emission sensor module is mounted on each of the air quality sensors; air quality signals collected by each of the air quality sensors are emitted to the receiving and display module through the corresponding emission sensor module. When the air quality sensors, the emission sensor modules and the receiving and display module used on the ground are transferred on the minitype intelligent aircraft, dynamic and random collection for high-altitude air quality can be achieved.

The invention discloses a method for acquiring routing information of a machine room. When the business services in different areas are subjected to cross intercommunication access through the gateway, the obtained target machine room routing information is subjected to intercommunication access with the target business computing equipment in the nearby machine room, so that the purposes of accessing the nearby machine room and reducing the network time consumption are achieved. Meanwhile, when the routing information of the target machine room is obtained, script data for obtaining target machine room information is obtained through the service feature information of the target service, and the target machine room routing information is acquired by using the target machine room information acquired by the script data, so that the aim of dynamically acquiring the corresponding target machine room information according to the business characteristic information of the target business can be fulfilled, and the flexibility of data access among different business services through the gateway is greatly improved.