102 results about "Urban security" patented technology

The invention provides a file management method, a device and an electronic device used for urban security monitoring, which relate to the technical field of data management. The file management method used for urban security monitoring comprises the following steps: face recognition being performed on a plurality of human face images to obtain a plurality of feature vectors; calculating vector distances between the plurality of eigenvectors; determining similarity between the plurality of human face images according to the vector distance; merging and clustering the plurality of human face images according to the similarity to obtain a merging and clustering result; a plurality of personal files being established according to the merged clustering results. The technical problem that the data accuracy of the personal files in the prior art is low, thereby affecting the urban security monitoring work is solved.

The invention discloses a city safety island based on pedestrian and non-motor vehicle separation, which comprises an island body, wherein the island body is in a triangular shape, the middle part of the island body is provided with a pedestrian waiting area in the island, both sides of the pedestrian waiting area in the island are provided with non-motor vehicle waiting areas in the island, the pedestrian waiting area is connected with a pedestrian street through a street and island crosswalk, the pedestrian waiting area is connected with the adjacent island body through a crosswalk between islands, the non-motor vehicle waiting area in the island is connected with the pedestrian street through a street and island non-motor vehicle crossing, and the non-motor vehicle waiting area in the island is connected with the adjacent island body through a non-motor vehicle crossing between the islands. The city safety island disclosed by the invention can effectively improve the safety and the comfort of pedestrians crossing the street, improve the crossing efficiency of pedestrians and non-motor vehicles and reduce the incidence of traffic accidents in street crossing, and road environment and city appearance are beautified.

The invention discloses a method of a situation awareness technology for a smart city oriented cross-city security service platform. A situation awareness system of the security service platform of the smart city comprises a security situation analysis database, a security threat active discovery and detection subsystem, a network security incident correlation analysis and early warning subsystem, a network security index calculation subsystem and a network security situation display subsystem. Security threat detection, condition monitoring, security situation awareness, trend prediction and other security services are provided. The security situation awareness system disclosed by the invention supports a nationwide cross-city platform application mode; the worry of a city manager and citizens about information system security is solved, information security is guaranteed, and information leakage is prevented; the potential safety hazard generated by inconsistent information security protection mechanism levels of various systems is reduced; The fund contradiction of security guarantee system construction is relieved, and the reconstruction and the resource waste caused by the fact that each city establishes an own information security guarantee system are avoided.

The invention proposes a large-view-field imaging device based on prism-fiber coupling, and is used for solving a technical problem that a conventional fiber coupling imaging device is limited in view field angle and high in cost. The device comprises a concentric ball lens, a refraction apparatus, a coherent fiber bundle, a detector array, and an image processing module. The concentric ball lens is formed by four ball lens layers. The refraction apparatus is located on a Petzval image plane of the concentric ball lens, and employs a spherical surface structure formed by a concentric curved surface lens and a plurality of micro-prisms. The concentric curved surface lens is located at the center of a spherical surface, and the plurality of micro-prisms take the concentric curved surface lens as the center and are densely arranged in the radial direction of the spherical surface to form a multi-layer circular ring. The coherent fiber bundle employs a conical structure. The refraction apparatus, the coherent fiber bundle and the detector array are sequentially arranged at one side of an imaging main axis of the concentric ball lens in a concentric manner, and the detectors are electrically connected with the image processing module. The device can be used for space monitoring, detection alarm, aerial photography, and urban security monitoring.

The invention provides a locating method and a locating system of a leakage area of an underground gas pipeline. The locating method comprises the steps that S1, according to real-time monitoring results of combustible gas monitors in adjacent underground spaces of the underground gas pipeline, the positions of the combustible gas monitors where gas concentrations of combustible gas exceeding thepreset threshold are determined; and S2, based on the positions of the combustible gas monitors, and the gas concentrations of the combustible gas monitored by the combustible gas monitors correspondingly, the range of the underground gas pipeline having leakage is estimated by utilizing a predetermined gas source tracing algorithm. According to the locating method and the locating system of the leakage area of the underground gas pipeline, through the combustible gas monitors arranged in the adjacent underground spaces of the underground gas pipeline, the concentrations of the combustible gasare monitored in real time, and then according to the gas leakage area is determined according to the concentrations and the positions of the combustible gas monitors, the effects of monitoring the gas in real time and safely and rapidly locking the leakage area are realized, and the city safety is guaranteed.

The invention relates to a high-precision 3-D rocker, including the dock, connecting rod wearing located on the dock, the first, second direction of movement devices being linked together with the connecting rod activities with setting on the base ,installed in the external base moves with the direction of the first device, the second direction of movement devices connected Potentiometers, located at the other end of the connecting rod handle Rocker, located at the stated rocker a third direction handle internal moves device, the third direction of movement installations include reduction devices, Shaft, Hall sensor circuit boards. The beneficial effect of this invention: the invention of the technology program that is to achieve a three-dimensional control on the condition of not increasing the volume of rocker, and this third direction of movement installation moves easily,with structure strong, stable performance, control sensitive, high precision, and can be widely used in urban security, road monitoring, factory automation, electric power, finance, instruments, chemicals, metallurgy, medical imaging, and other mechanical and electrical equipments.

The invention provides a video camera equipment entity authentication method for urban security and protection. The video camera equipment entity authentication method for urban security and protection includes the following steps that an NVR is packed, and an authentication activation group M1 is sent to a terminal; the terminal carries out processing after receiving the authentication activation group M1, and packs and sends an access authentication request group M2 to the NVR; the NVR carries out processing after receiving the access authentication request group M2, and packs and sends a certificate authentication request group M3 to an authentication server; the authentication server carries out processing after receiving the certificate authentication request group M3, and packs and sends a certificate authentication response group M4 to the NVR; the NVR carries out processing after receiving the certificate authentication response group M4, and packs and sends an access authentication response group M5 to the terminal; the terminal further carries out processing after receiving the access authentication response group M5 sent by the NVR. The video camera equipment entity authentication method for urban security and protection is used for protecting safe communication between communication entities in a security and protection system.

The invention disclose a method for detecting a vehicle queue length based on a local variance, which is applied to the field of intelligent transportation, and particularly relates to a digital image processing and computer visual technique. The method comprises the following steps: putting forward an improved local variance method for performing vehicle detection; putting forward a combination of the improved local variance method and an LBP (Length between Perpendiculars) algorithm to remove vehicle shadows; and putting forward a method for reducing vehicle queue length calculation errors. The method for detecting the vehicle queue length has a small calculation quantity, and the problem of error detection of vehicles caused by vehicle shadows of lanes during multi-lane detection is solved. Due to the adoption of the method, functions of real-time control of traffic lights, measurement of traffic flow control indexes and the like can be realized; and the method plays important roles in maintaining traffic safety and urban security, increasing the road utilization ratios, reducing traffic jams, realizing automatic traffic management and intelligent city, and the like.

The invention discloses a comprehensive evaluation method for urban safety development level, comprising the following steps: 1) constructing a safety development evaluation index system comprising atarget layer, a factor layer and an index layer, the index layer comprising a positive index playing a positive role on an evaluation result and a negative index playing a negative role on the evaluation result; 2) determining a reference value of each index of the index layer; 3) respectively calculating reference indexes of the positive index and the negative index; 4) calculating the weight ofeach index of the index layer by adopting an entropy weight method; 5) calculating a safety development comprehensive index of each city by adopting a weighted summation method; and 6) according to the safety developmentcomprehensive index, determining a evaluation scale for safety development demonstration city construction.Through constructing the evaluation model, the entropy weight is adoptedas the quantitative weight of the safety development demonstration city, so that objective evaluation can be made on the creation level and the development quality of the safety development demonstration city.

The invention discloses a method for realizing automatic people searching and tracking through combination of a community lighting network and a cloud platform community population information base which belongs to the field of urban safety. The method specifically comprises the following steps: establishing a community camera network by using a community camera, a cloud community tracking people-searching system information base, an intelligent people-searching route plan, an intelligent lighting module, a single-chip microcomputer and a wireless transmission module in combination with community street lamp lighting arrangement; receiving and storing video information shot by the camera by using the cloud platform; performing recognition processing on the image information by using a convolutional neural network; using the single-chip microcomputer for controlling the intelligent street lamp and the camera to act; using a wireless transmission module for data interaction; and observing and tracking the target action route by using the virtual community map terminal. The method can achieve the quick and intelligent search of the target track in the historical video when a missing case happens, visually displays the action route, speculates the destination more accurately, reduces the search range, and shortens the search time.

The present invention provides an urban safety monitoring camera deployment method based on a vehicle movement locus, belonging to the field of the urban intelligent transportation and safety monitoring. Urban vehicle GPS data information is taken as an object, a license plate number, a longitude, a latitude and time are selected to be characteristics, and an urban map is divided into a plurality of same region units through grids; each region unit is subjected to numbers, a region unit with the max traffic flow is picked out from the urban map, and a camera is deployed; and other n-1 region units are picked out from the urban map based on a greedy strategy, and cameras are respectively deployed in the n-1 region units. The urban safety monitoring camera deployment method based on a vehicle movement locus is able to fully discover the rule of vehicle driving locus to optimize the urban monitoring strategy, and is applicable to different cities.

The invention discloses an illegal operating vehicle identification method based on automotive electronic mark data. The identification method comprises the following steps: step one, counting the data of vehicles passing through the same electronic mark collection point repeatedly and the data of vehicles passing through a municipal district repeatedly for the vehicles with relatively long driving time; step two, carrying out weight allocation on the item of number of times passing through the same electronic mark collection point repeatedly and the item of number of times passing through themunicipal district repeatedly to establish an illegal operating vehicle suspicion degree evaluation matrix model; and step three, according to the illegal operating vehicle suspicion degree evaluation matrix model, carrying out evaluation on suspected illegal operating vehicles. Aiming at the problems, that the investment is too large and the illegal operating vehicles cannot be identified accurately, existing in existing control measures, the invention provides the illegal operating vehicle identification method based on automotive electronic mark data, and the illegal operating vehicles inthe city are identified accurately. An effective method is provided for urban traffic management and urban safety control.

The invention relates to the technical field of video structuring, and discloses a video structuring technology for urban security protection. The video structuring technology adopts a terminal, wherein the terminal is connected with a target detection module, a control module, a data acquisition module, a data coding module, a data processing module, a data analysis module, a data storage module,a communication module and an infinite signal transmitting module by means of lead wires; and the control module is connected with the data acquisition module, the data coding module, the data processing module, the data analysis module, the data storage module, the communication module and the infinite signal transmitting module by means of lead wires. The video structuring technology for urbansecurity protection can effectively provide powerful data for urban security protection.

The invention discloses a 5G smart city security architecture. The 5G smart city security architecture is a five-layer architecture. The five-layer architecture comprises an application security layer, an industry platform / technology platform security layer, a network security layer, an edge computing security layer and a terminal security layer. The application security layer is used for guaranteeing the security of an application account and application software; the industry platform / technical platform safety layer is used for guaranteeing safe and stable operation of the industry platform and the technical platform; the network security layer is used for protecting the security of the network; the edge computing security layer is used for preventing an edge computing network from being invaded and damaged by an external network; and the terminal security layer is used for guaranteeing communication security. By adopting the 5G smart city security architecture provided by the invention, the security problem of a 5G smart city system can be reduced, and the data security and privacy of users and enterprises are effectively protected.

The invention relates to the technical field of intelligent unmanned security inspection and particularly relates to an unmanned vehicle and unmanned aerial vehicle cooperative system applied to urban security inspection work. The unmanned aerial vehicle comprises an unmanned vehicle, wherein an unmanned aerial vehicle assembly is arranged on the upper side of one end of the unmanned vehicle and comprises an unmanned aerial vehicle and a parking apron arranged on the lower side of the unmanned aerial vehicle and used for bearing the unmanned aerial vehicle; the parking apron comprises a parking seat used for parking the unmanned aerial vehicle. The unmanned aerial vehicle assembly and the unmanned vehicle are installed together for cooperative inspection, the inspection effect is improved, the inspection range is expanded, when the electric quantity in the unmanned aerial vehicle assembly is insufficient, the unmanned vehicle charges the unmanned aerial vehicle assembly, the trouble of frequent recovery of the unmanned aerial vehicle by personnel is avoided, the unmanned aerial vehicle is clamped through the clamping device, landing stability of the unmanned aerial vehicle is improved, landing is buffered through the parking base, impact caused by landing of the unmanned aerial vehicle is reduced, and the service life of the device is prolonged.

The invention relates to an urban security data retrieval method based on a knowledge graph. The characteristics of a Neo4j graph database are utilized to map the urban security knowledge map RDF graph data and continuously flowing knowledge fragments into a graph database; in a distributed environment, when multiple keywords are spread over multiple mutually associated label nodes, the multiple keywords are associated with the multiple mutually associated label nodes. In a label map of interaction, according to the proportion of the instance nodes anchored by the keywords to the key relationship, obtaining the key relationship, According to the method, the label with the highest value is quickly calculated in advance according to the key node and the proportion between the labels, the initial instance node can be determined at the fastest speed from the label, meanwhile, the time for reaching the next hop of key node is shortened, and the database retrieval efficiency of the dynamic change knowledge map is improved.

The invention belongs to the technical field of intelligent cities. The invention discloses an intelligent city system and method based on illegal target risk evaluation. The intelligent city system based on illegal target risk evaluation comprises a face image collection module, a sound collection module, a main control module, an image matching module, a sound recognition module, an authentication module, a risk judgment module, a safety prediction module and a display module. According to the invention, the face image matching speed is effectively improved through the image matching module;meanwhile, research is carried out on a system design and construction method of a regional safety state through a safety prediction module; key technologies and difficulties are broken through fromthree major directions of an evaluation model, an analysis model and a prediction model of a regional safety state, a safe city quantitative index considering an objective alarm condition index and asubjective perception index is constructed, and a method, application and evidence basis is provided for maintenance of city public safety and illegal crime prevention and control. And the predictionof urban safety is greatly improved.

The invention relates to the technical field of electronic communication, in particular to a distributed twin convolutional neural network pedestrian re-identification method based on a cloud end, anedge end and an equipment end. According to the method, a distributed structure is utilized, so that all input data are not uploaded to the cloud for processing when the ReID problem is solved, and the ReID problem is solved at the local end and the edge end as much as possible. Specifically, exit points are arranged at three ends; joint training is carried out to obtain an excellent neural network model meeting the requirements of the invention. According to the method provided by the invention, the ReID recognition precision is improved, the data communication cost is greatly improved, the method can be properly improved and expanded to a multi-region camera network, the application of the ReID in reality is realized in a distributed manner, and particularly, the method has a wide prospect in the aspects of urban security and protection and crime fighting.

The invention provides an urban technical service security and protection method. The urban technical service security and protection method comprises the steps of: setting a three-dimensional virtualscene simulating a monitored place, and adding a virtual photographing device at a corresponding position of the three-dimensional virtual scene according to the practical position of a photographingdevice in the monitored place; according to technical parameters of the photographing device, establishing three-dimensional data models for different types of cameras; selecting a matching feature point from a two-dimensional video image obtained from the photographing device, and, according to the corresponding mapping point of the matching feature point in the three-dimensional virtual scene,obtaining the precise position and posture of the virtual photographing device through a matching algorithm; integrating the two-dimensional video image obtained by the photographing device into the three-dimensional virtual scene; and, using the above steps in a three-dimensional urban security and protection system, and, according to the type and the installation position of the photographing device of the three-dimensional urban security and protection system, establishing an urban full-domain video monitoring visual range data model in combination with a visual range three-dimensional datamodel of the photographing device, wherein the photographing device is a CCD or an infrared photographing device.

The invention discloses an LCOS architecture-based face recognition AR glasses and a face recognition method thereof. The LCOS architecture-based face recognition AR glasses comprises an integrated glasses frame 1, a glasses main body 2 positioned at a glasses frame at one side of the glasses frame 1 and the glasses legs 3 positioned at the other side of the glasses frame 1; the nose pads 4 are fixedly connected to the lower ends of the glasses legs 3, two gaskets 5 are arranged at the lower ends of the nose pads 4, and the camera shooting holes 6 are formed in the glasses main body 2; the glasses main body 2 comprises a camera shooting module, a data processing module, a communication module and a display module, and the display module, the camera shooting module and the data processing module are all connected with the communication module. According to the invention, when a public security police wears the glasses in daily patrol, a target criminal suspect can be quickly and accurately found in a public place with a large and dense people flow, the case handling efficiency of the public security police is improved, a command center can timely grasp the on-site condition, a capture scheme can be quickly deployed, and the urban safety is greatly improved.

The invention discloses an intelligent bus stop board system, which belongs to the technical field of intelligent transportation. The intelligent bus stop board system comprises a bus stop board terminal, wherein the bus stop board terminal comprises a Bluetooth terminal, a controller data processing center, a display module, a voice module, a GPRS DTU module and a camera module. The intelligent bus stop board system is specifically divided into an intelligent reminding system, an intelligent question answering system and an intelligent alarming system. According to the intelligent bus stop board system, real-time data of public transport vehicles is obtained by means of the Bluetooth terminal, the controller data processing center processes the real-time data, the GPRS DTU module is usedfor performing data transmission between the intelligent bus stop board system and a cloud server, with the cooperation of the voice module, the display module and the camera module, the intelligent bus stop board system can answer the bus taking and transferring route problems of passengers and inform or remind the arrival time of buses, people can use the intelligent bus stop board system to give an alarm for seeking help, virtual polices set in the intelligent bus stop board system can scare off bad persons, and an urban safety island and an intelligent bus traveling edge tool are providedfor common people.

The invention provides a safe city evaluation system and method, and belongs to the field of safe cities and city safety level evaluation. The system comprises an index system establishment unit, an urban operation system data acquisition unit, a risk prevention capability data acquisition unit, a weight acquisition unit and a data processing unit. The index system establishing unit establishes an index system of a city to be evaluated; the city operation system data acquisition unit is used for acquiring data related to a city operation system of a city to be evaluated; the risk prevention capability data acquisition unit is used for acquiring data related to the risk prevention capability of a city to be evaluated; the weight acquisition unit is used for acquiring a weight; and the data processing unit is used for obtaining the comprehensive score of the city to be evaluated and obtaining the security level of the city to be evaluated according to the comprehensive score. According to the method, safe city evaluation is carried out, the safety level corresponding to the to-be-evaluated city can be obtained finally, and scientific decision reference is provided for safe city construction.

The embodiment of the invention discloses a multi-source spatio-temporal data fusion method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring multi-source spatio-temporal information, and converting each piece of spatio-temporal information according to a unified preset data format to obtain spatio-temporal data of each data source; respectively calculating the similarity between each piece of spatio-temporal data in each data source and each piece of spatio-temporal data in other data sources; matching the spatio-temporal data among the different data sources according to the similarity; and fusing the spatio-temporal data of each data source according to a matching result. According to the technical scheme provided by the embodiment of the invention, the fusion of the multi-source spatio-temporal data is realized, and the redundancy of the spatio-temporal data for each user is reduced, so that the spatio-temporal data can be better utilized to carry out projects such as urban safety management and urban planning.

The invention discloses a city intelligent management system which is applied to the technical field of city management. Comprising an intelligent city central control center, a target identification alarm module, a city intelligent navigation module, a city government affair service module, a city infrastructure module, a city livelihood guarantee module, a city epidemic situation early warning module, a city environment information module and a city safety production module. The invention achieves the overall intelligent monitoring, processing and operation of a city, achieves the intelligent management of production safety, target alarm, environment, life, medical treatment and other businesses, improves the digitalization, scientization and efficiency of city management, carries out the scientific management and propaganda of the current epidemic situation, and improves the health of citizens.

The invention provides a sound big data analysis and calculation imaging system based on a cloud side end. The system comprises a sound data acquisition module, a sound preprocessing module, a digital audio recognition module, a digital audio imaging processing module and a calculation result management module. According to the invention, a new early warning form and method are provided for city safety monitoring, and the intelligent demand of city emergency early warning in digital city construction is satisfied by using a deep learning sound classification model and a sound graphical search algorithm of the cloud.

The invention discloses an Internet-of-Things wireless transmission based urban-security unmanned plane which comprises a plane body. Four connecting boxes in equidistant array are fixedly connected to the outer side of the plane body, the open end of each of the connecting boxes points to the outer side of the plane body, a top plate is fixedly connected to the upper surface of the plane body, a bottom plate is fixedly connected to the lower surface of the plane body, a camera is fixedly installed on the lower surface of the bottom plate, two supports are further fixedly installed on the lower surface of the bottom plate, and a first pin roll is fixedly connected to the interior of each connecting box. By the arrangement, a first slot and a second slot are respectively formed in the top plate and the bottom plate, a first connecting block in the first slot and a second connecting block in the second slot are respectively and fixedly connected with a first protection ring and a second protection ring, the urban-security unmanned plane can better adapted to operation environment in a city, and the problem that an existing unmanned plane is prone to damage in collision with obstacles is solved.

The invention discloses a city safety performance evaluation report automatic generation and analysis method and system, and the method comprises the steps: generating an evaluation report according to the evaluation result of target city safety performance data, carrying out the analysis of the evaluation report through an analysis model based on an evaluation index, and obtaining a first analysis result, and obtaining planning construction information of the target city, extracting parameters of the planning construction information to construct a dynamic business model, performing deep analysis on the first analysis result by using the dynamic business model, obtaining a second analysis result, and confirming the second analysis result as a final analysis result of the safety performance data of the target city. The dynamic business model is constructed according to the planning and construction information of the target city to analyze the first analysis result of the safety performance data of the target city again, and the first analysis result can be reasonably evaluated on the basis of considering the planning of the city, so that the influence of the planning of the city on the performance data is determined; the analysis result is more practical, and the objectivity is improved.

The invention discloses an urban public security situation display method and device, a storage medium and electronic equipment. According to the method provided by the invention, urban safety indexesare acquired, and a security situation is displayed after processing, so that an automatic process from acquisition of the security indexes to display of the urban public security situation is realized, a user can dynamically know the security situation of each administrative level and each field of urban public security, further layout and overall planning are facilitated, and preventive measures are taken in advance.

The invention discloses an urban security and protection monitoring layout system adopting target mobility distribution prediction. According to the urban security and protection monitoring layout system, external flow target characteristic quantities capable of reflecting the influence degree of an external flow target in a set area on the individual flow are input into various individual flow behavior neural network models; then, based on the flow behavior tendency of each individual to the corresponding external flow target output by each neural network model, the flow behavior tendency iscalculated; and the corresponding flow individual number distribution of the flow behavior generated by each external flow target in the set area is predicted, and finally the external flow targets with the flow individual number reaching the standard are screened out, and the security and protection monitoring system layout scheme of the corresponding urban area based on the external flow targetswith the flow individual number reaching the standard is generated. The urban security and protection monitoring layout system can more scientifically, truly and accurately simulate the population mobility in a space range, can install the monitoring system between the related parties with the target number of individual targets-the external flow target, and can optimize the installation layout of the monitoring system.