44results about How to "Achieving real-time perception" patented technology

The invention relates to the field of urban safety risk management and control, and discloses an urban safety regional risk analysis method and system. The method comprises the following steps: acquiring video data of a crowd activity region by video monitoring equipment; acquiring block port data of each main entrance of a region; counting and calculating the traffic flow of a block port according to the block port data of the region, analyzing the proportion of vehicles to personnel entering the area, acquiring the data of vehicles remaining in the region, and carrying out early warning about regional road congestion; analyzing video data of the crowd activity region based on a video detection technology, and identifying crowd real-time statistics, density estimation and regional dynamichuman flow abnormal characteristic analysis under multiple scenes in the region by adopting a depth learning algorithm; and carrying out probability analysis and verification by utilizing regional pedestrian flow historical data, block port flow historical data, crowd real-time statistical data and the block port data of main entrances, calculating regional entrance pedestrian flow and traffic flow density, and carrying out early warning about regional safety risk in advance. By the method, real-time sensing of human flow and traffic flow in a key region is realized, and safety risk early warning and prevention in the key region are also realized.

The invention discloses a cleaning robot control system based on separated visual inspection and a corresponding control method, and the system comprises an image collection front end which is used for collecting a video image of a whole application scene in real time, and forming video stream data; a garbage visual detection module which is used for receiving the video stream data, carrying out visual detection processing and completing ground garbage detection in an application scene; a central server which is used for receiving the detection result, obtaining the position coordinates of thegarbage and generating a cleaning instruction; and a cleaning task execution equipment which is used for executing the cleaning task according to the cleaning instruction and the position coordinates. Through image acquisition of the video camera and image analysis of the visual detection algorithm, passive cleaning performed by the cleaning robot according to the preset route in the prior art ischanged into active cleaning in which the cleaning route is adjusted in real time according to environmental changes, and the cleaning efficiency is remarkably improved.

The invention provides a gradient piezoelectric ceramic intelligent cutting tool device capable of self-sensing cutting force, belonging to the technical field of machine manufacturing and automation thereof. The gradient piezoelectric ceramic intelligent cutting tool device is characterized in that a gradient piezoelectric ceramic blade 1 is arranged at the foremost end of a square section cutter bar 2; a wire hole communicated with a center hole of the cutter bar is fabricated in the front end of the square section cutter bar; one end of a high-temperature shielding signal line is connected with an electrode of a gradient piezoelectric ceramic blade sensing unit and the other end of the high-temperature shielding signal line is connected with a signal amplification, A/D conversion and wireless transmission circuit integrated module arranged at the rear end of the center hole of the cutter bar; the integrated module wirelessly transmits a collected electric signal to a wireless receiving circuit system; a wireless receiving circuit receives data and transmits the data to an upper computer through a serial communication mode; and the upper computer carries out operation processing of compensation, decoupling and the like and then displays cutting force information in various directions through a display. The gradient piezoelectric ceramic intelligent cutting tool device has the advantages that the structure is simple, the integrated degree is high, cutting force coupling is small, the sensitivity and the detection accuracy are high, and the problem of real-time monitoring of the cutting process in the field of ultra-precision machining can be solved. The figure 1 is a drawing of the abstract.

The invention relates to a stage lighting effect control system. By arranging a driving power supply based on power control, an active detection circuit, a front positioning circuit, a scene light ray reconstruction circuit, a correlation lighting effect feedback circuit and a lighting effect control circuit, the problems of poor stage lighting effect control accuracy and high energy consumption in the prior art are solved; with the particular step of light ray reconstruction, the stage lighting effect is more vivid; and meanwhile, by feedback of execution conditions of the stage lighting effect and stage staff, real-time sensing on the stage lighting effect is achieved, and the comprehensive stage performance is substantially enhanced.

The invention discloses a low complexity modeling based multidimensional channel perception system of the internet of vehicles. According to the system, multidimensional scan and detection for time-space domain can be achieved by adopting a distributed mobile channel detection method and through a distributed stealth micro-strip perception antenna array arranged at the periphery of a vehicle body; multidimensional time-varying parameters of a mobile channel can be obtained in real time by adopting a low complexity modeling algorithm based on discrete ellipsoid sequence (DPS) subspace and analyzing channel propagation characteristics during a movement of a vehicle; and a channel change track of a moving vehicle can be accurately estimated, changes of environments surrounding the vehicle can be analyzed, and multidimensional perception of the mobile channel of the internet of vehicles can be achieved. Limitations of a conventional system which perceives a vehicle based on a plurality of sensors are broken according to the low complexity modeling based multidimensional channel perception system of the internet of vehicles, advanced distributed mobile channel detection and a low complexity modeling technology are adopted, and perception of environments surrounding a vehicle in application of the internet of vehicles is improved.

The invention relates to an intelligent analysis platform design method based on a big data framework, and relates to the technical field of network security. According to the intelligent analysis platform design method based on the big data framework, security big data is collected, security events are mined, security threats are perceived, early warning and prevention are carried out in advance by relying on a big data processing analysis architecture and combining an artificial intelligence enabled security analysis tool, and intelligent analysis of a network security situation is realized, and the intelligent safety protection level is improved. According to the intelligent analysis platform based on the big data framework, the big data framework is adopted in the technical system, security situation data such as network traffic, user behaviors, network boundaries, service systems and host endpoints are gathered, artificial intelligence technologies such as machine learning, deep learning, natural language processing and knowledge maps are adopted, fusion analysis and deep mining of situation data are realized, real-time perception of security threat events is realized, the network security situation is visually presented, and the continuous security guarantee capability in a network space is improved.

The invention discloses a new energy vehicle regional operation risk assessment and early warning system integrated with a whole vehicle safety state, which considers the characteristics that a new energy vehicle has various whole vehicle safety risks such as battery thermal runaway and power loss. The whole vehicle safety states of the vehicle and other vehicles in the domain and the weather state information in the domain are fused into an existing vehicle operation risk early warning method, and accurate evaluation and early warning of the operation risk of the new energy vehicle under the complex road traffic condition can be achieved. Driving data collected by a vehicle-mounted sensor of each vehicle in real time are processed and analyzed to complete sensing of the safety state of the whole vehicle, and the thermal runaway risk state and the power loss risk state of a vehicle battery are output; safe state extraction, motion state sensing and intra-domain weather state sensing of the vehicle and other vehicles in the domain are realized; and risk assessment and early warning is carried out on the whole-process real-time operation of the new energy vehicle based on the operation risk early warning model and strategy by fusing the safety state and the motion state of the vehicle and other vehicles in the domain and the weather state in the domain.

The invention discloses a method and system for managing configuration information, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of sendinga change notification to a client where an application is located after configuration information of the application is changed, wherein the client sends out a configuration information synchronization request after receiving the change notification; and receiving the configuration information synchronization request, and returning the changed configuration information to the client. According tothe embodiment, the real-time perception of the application program on the configuration information change can be realized in a mode of pushing the data by the server.

The invention relates to a high-speed domain name resolution method based on stateless scanning. The method comprises: encrypting a UDP protocol header of the DNS query message; periodically sending DNS query messages, analyzing and verifying the recovered reply message; recording a DNS reply message of which the UDP protocol header conforms to the encryption feature and a corresponding IP; and verifying the IP and generating a reliable DNS service IP pool according to a result, when a domain name resolution request exists, selecting the IP as a resolution server to resolve the domain name corresponding to the request, continuously receiving the UDP message, verifying the UDP protocol header and the DNS protocol header, and recording the current UDP message information if the UDP message and the DNS protocol header pass the verification. According to the method, load balancing is carried out among different resolution servers, domain name resolution efficiency is improved, real-time perception of global domain name information change can be realized by a single device, accuracy and real-time performance of a PDNS collection system are greatly improved, and a data basis is providedfor threat intelligence association analysis and global DNS malicious pollution problem analysis.

The invention provides a rail transit external environment perception system and method and rail transit equipment. The system comprises an image acquisition device, an environment data acquisition device and a train control device, wherein the image acquisition device is used for acquiring an environment image of an environment; the environment data acquisition device is used for acquiring 3D point cloud data of the environment; and the train control device is used for carrying out 3D space modeling according to the environment image and the 3D point cloud data to generate a running environment model of the train, generating a decision instruction according to the running environment model and controlling the train control unit to execute the decision instruction. Therefore, 3D space modeling is performed according to the environment image and the 3D point cloud data so as to generate the operation environment model of the train, real-time perception of the external environment of therail transit can be realized, the operation efficiency of the rail transit can be enhanced, and the decision instruction can be generated according to the operation environment model so as to ensurethe safety of the rail transit.

The invention provides a method for sensing network sudden hotspots based on perception maximization. The method comprises the following steps: collecting historical sudden events in a network and corresponding post messages at first, defining reference time and difference between time of post messages of participates and the reference time, defining evaluation indexes for sensing the post messages according to perception maximization, and training a perceptron set; aggregating the post messages acquired in real time in the perceptron set into different clusters on the basis of a text similarity detecting method, wherein each cluster is regarded as a potential hotspot; and detecting every potential hotspot, and when the observation amount of the post messages corresponding to a certain potential hotspot at a certain time is not smaller than a threshold value, regarding that the potential hotspots burst out. All user nodes in a social network are regarded as the perceptron according tocommunication characteristics of information in the social network, all information which circulates in the social network is regarded as perceptual information, and the information which circulates in the social network, namely social perception, is sensed through the perceptron which monitors the social network.

The invention provides a tourism intelligent perception system based on the Internet of Things, and the system comprises a perception equipment module which is tourism and traffic perception equipment; a intelligent gateway platform comprising a data access subsystem which is in communication connection with the sensing equipment module and can realize access, full life cycle management and onlinemanagement of the heterogeneous sensing equipment; a data processing subsystem connected with the data access subsystem and is used for carrying out standardized processing and forwarding on the datatransmitted by the sensing equipment module; and an intelligent service module connected with the data processing subsystem and is used for realizing various services of the traffic and tourism intelligent service. According to the system, through data fusion of the Internet of Things, tourists are taken as the center, and relevant tourism information can be actively sensed by means of terminal device, so that tourism plans can be arranged and adjusted in time.

The invention relates to a CPS-based robot position control system. The CPS-based robot position control system is characterized by comprising a visual acquisition module, a laser displacement sensingmodule, a pressure sensing module, a voice acquisition module, a position monitoring module and a data processing analysis and decision module. The CPS-based robot position control system uses the intelligent computing and analysis capability of a CPS system, realizes real-time sensing, communication and calculation of process data during the robot running process, forms a closed-loop control system, replaces manual empirical judgment or decision-making, realizes whole course control over the robot running process, reduces manual decision-making mistakes, avoids possible processing risks, andimproves the real-time efficiency of a robot in industrial running process.

The invention discloses a transformer area data minute-level same-frequency acquisition method and system based on a type-II concentrator. A transformer area acquires electric meter data through the type-II concentrator, and the concentrator is provided with a minute-level communication protocol to realize minute-level same-frequency acquisition of the electric meter data. According to the system,the communication protocol of the concentrator is expanded, a minute-level acquisition scheme is correspondingly configured, minute-level data acquisition is realized, the power consumption information acquisition frequency is increased, and a new acquisition mechanism is designed for solving the problem that partial acquisition data cannot be effectively acquired possibly caused by an original real-time cyclic acquisition mechanism in a minute-level acquisition task. The problem is effectively solved. According to the system, a good basis is provided for deep power utilization characteristicanalysis, power utilization expectation evaluation, power utilization potential mining, power utilization demand adaptation and other power utilization service quality improvement work of the power distribution network transformer area.

The invention discloses a wireless network security defense method based on software-defined security. The wireless network security defense method is based on a software-defined secure network architecture and comprises a cloud platform, an SDN controller and a wireless access point. The wireless network security defense method includes the steps: sniffing the network environment data packet in the wireless network by the wireless access point, and uploading the network environment data to the cloud platform in real time; executing the network flow table from the SDN controller to realize network defense; enabling the cloud platform to complete attack detection of the network environment data, generate a defense decision after detecting a network attack, and issue the defense decision tothe SDN controller; and enabling the SDN controller to manage and configure network forwarding equipment including the wireless access point, and issue a network flow table according to the defense decision. According to the invention, attack detection and defense automation and integration under a wireless network are realized, and the protection efficiency is improved.

The invention discloses a real-time feedback based lighting effect control apparatus. By setting a preposition positioning circuit, an associated lighting effect feedback circuit and a lighting effect control circuit, the problem of low precision of stage lighting effect control in the prior art is solved; and meanwhile, by feedback of the stage lighting effect and stage personnel execution conditions, real-time perception on the stage lighting effect is realized, and the overall stage performance is greatly improved.

The invention relates to a pavement self-driven skid resistance detection device and a pavement self-driven skid resistance detection method based on a paper folding-friction nanometer power generation technology, and a self-driven paper folding-friction nanometer power generation skid resistance detection structure adopts a paper folding multi-layer structure so as to remarkably amplify the output effect of the adopted friction nanometer power generation principle; the electric brush slip ring structure is used for preventing mutual winding of wires when the tire rotates; the rotating motor stabilizing frame is made of an aluminum alloy material and is made into a stable triangular structure, and the frequency of the rotating motor can be adjusted so as to simulate different vehicle speeds when the vehicle runs; different grading requirements can be designed for the test board according to an actual pavement; the signal acquisition device is used for acquiring electrical output of the self-driven sensing element in real time; the signal processing software can carry out noise reduction, filtering, smoothing and other processing on the collected signals. Compared with the prior art, the system has the advantages of real-time anti-skid monitoring, sensitive information perception, simple structure, wide material selection, low cost and the like.

The invention discloses an intelligent monitoring method for the construction process of a gravel vibroflotation pile. The method mainly comprises the steps that firstly, the vibroflotation device space coordinates, the vibroflotation depth, the vibroflotation current time sequence, the filling amount of each time and the like in the operation process of the gravel vibroflotation pile are sensed; secondly, based on timestamp analysis, the gravel vibroflotation device space coordinates, the vibroflotation depth, the vibroflotation current and the filling amount are subjected to coupling analysis, and the indexes such as the vibration remaining time, the filling amount and the current sequence of each depth are analyzed; thirdly, an intelligent early warning system for the vibroflotation process is established, and intelligent early warning and feedback control over the indexes such as the vibroflotation position, the vibroflotation current and the vibration remaining time are achieved; and finally, a graph report system for the construction quality of the vibroflotation pile at any time is established, and visual analysis of parameters of the vibroflotation process is achieved. According to the intelligent monitoring method, intelligent sensing and feedback control over the parameters of the vibroflotation operation process can be achieved, and the vibroflotation quality is comprehensively controlled.