110 results about "Crowding" patented technology

The invention discloses a method and a system for judging road traffic states. The method and the system use a plurality of traffic parameters as a basis for judgment, simultaneously establish a functional relation aiming at different road sections and preset the weight so as to improve the accuracy of the traffic state judge. The method comprises the following steps of: (1) selecting a plurality of traffic parameters; (2) through the sampling analysis of the traffic parameters of the road section, setting the functional relation between the plurality of the traffic parameters of the road section and crowding coefficients which correspond to the traffic parameters, and setting weighted values occupied by the plurality of the traffic parameters in the crowding degree judge of the road section; (3) in the end of each state judge period, acquiring the plurality of the traffic parameters of the road section in real time, and according to the set function, calculating the crowding coefficients which correspond to each traffic parameter; (4) carrying out a weighted average operation on the weighted values of each parameter and the crowding coefficients which correspond to the traffic parameters so as to obtain an average crowding coefficient; and (5) comparing the threshold values of the average crowding coefficient and the crowding coefficients so as to judge the road traffic state.

The invention provides a circuit breaker panel with several safety features. The main breaker is separated from the circuit breakers by a non-conducting shield. The main breaker is also covered by a transparent, non-conducting shield. A further transparent non-conducting shield separates the circuit breakers from the neutral and ground bus bars. The neutral and ground bus bars are offset from one another to prevent wire crowding. Bending posts extending from the back plate of the panel help control the wire in the panel to prevent it from crossing bus bars or circuit breakers.

The invention discloses an access control system and method based on context awareness for a mobile platform. A plurality of technologies such as position locating, context awareness and data mining are utilized comprehensively. Specific to the problem of information protection during data operation of a mobile terminal, the advantages and disadvantages of an existing access control technology are analyzed, a scheme for deciding a security access strategy based on a user context is proposed, and an access control technology based on the context awareness for the mobile platform is designed and implemented. An environment in which a user is located is judged accurately through a position locating technology and an audio-based context identification technology, and a current environment safety risk level is judged optimally with a pedestrian crowding degree judgment algorithm. User access is influenced and classified information is operated, so that the classified information is prevented from being intercepted and peeked on the mobile platform.

The invention provides a scenic area tourist chain travel integration providing method, and relates to the technical field of tourism service software development. The problem of poor travel experience caused by lack of effective real-time data guidance during the travel of a tourist is solved. The method comprises the steps of real-time prediction of the crowding degree of queuing in a scenic spot, accurate optimal travel route pushing and mining and analysis of feedback data of tourists. The method specifically comprises the steps that the information of a scenic area and the number of tourists in each scenic spot are recognized and calculated; the crowding degree of the scenic spot is determined according to an evaluation index, and the crowding degree is visually displayed on a map toprovide tourists with intuitive judgment; and at the same time, according to the user geographic coordinate and user demand data of a system platform, a path optimization algorithm is used to accurately recommend a reasonable route. The queuing waiting time of a user is minimized, and the traffic experience is improved. In order to form benign feedback, data used by tourists are analyzed to acquire scenic spots prone to serious queuing crowding and the preference for different recommended routes.

The invention provides an Internet-of-Things intelligent car position lock service management system which comprises a data management module, a car position monitoring module, a data sending module, a data receiving module, a mechanical car position lock, a mechanical lock control module and a mobile phone third-party application. Through big-data real-time analysis, reasonable planning is carried out, through connection of an intelligent car position lock and the internet and a mobile phone terminal, intelligent management of community public and private parking positions and social public parking positions is achieved, an on-line reserving function is achieved, and the problem of resource wasting caused by parking position crowding and inconvenient selecting is solved.

The invention provides a method and server for robot queuing management. The method includes the steps that a crowding point zone is determined; dispatching instructions are set for robots in the crowding point zone respectively according to passing requests sent by the robots in the crowding point zone and paths of the robots in the crowding point zone; the dispatching instructions are sent to the robots in the crowding point zone respectively so that the robots receiving the dispatching instructions can pass through the crowding point zone according to the dispatching instructions. By analyzing the passing requests of the robots in the crowding point zone and setting the respective dispatching instructions for the robots, it is avoided that the robots cause crowding in the crowding point zone, the speed of the robots in passing through crowding points is increased, and then the overall working efficiency of a robot cluster is improved.

The embodiment of the invention provides a method, device and system for measuring a crowding degree. A terminal samples the signal strength value of access point in an access point coverage area, calculates out mathematical statistical parameters, measures and calculates the distance from an current sampling location to the access point, and informs a server of the distance and the mathematical statistical parameters; the server obtains the distance and the mathematical statistical parameters, an objective function is chosen in a crowding degree corresponding relation table according to the distance and the mathematical statistic parameters, and the crowding degree grade corresponding to the objective function is used to indicate the crowding degree in the access point signal coverage area. According to the method, device and system for measuring a crowding degree, the signal strength of the access point is collected at once, the crowding degree within the space is evaluated through the crowding degree corresponding relation table, image acquisition of the location of each person is not needed, complex computing is needless, the measurement can be achieved only through the terminal carried by the user, extra hardware need not to be arranged, and the cost is reduced.

The invention discloses a special vehicle for transporting cattle, and relates to a special vehicle for cattle turnover transportation. The interior of a carriage of a vehicle body is transversely partitioned into a plurality of modules with the same structure, and each module forms a station; the module comprises a partition, a bottom plate, a manger and a plug nose, and has the function of a door body and the function of adjusting the space; the plug nose is fixedly arranged on the first or second lateral surface; the manger is arranged at the lower side of the plug nose of the first lateral surface; the bottom plate is a square plate with a plurality of grooves, and the bottom plate is detachable; and an extension panel is arranged at the lower part of the carriage. Through the vehicle, the cattle is isolated in the mutually independent unit modules, and mutual crowding and trampling accidents of the cattle are avoided; and if the traditional transport vehicle is used, the statistical figure shows that 5 to 10 percent of cattle suffers from diseases and even dies, so the special vehicle for transporting the cattle has great professional transportation advantages and broad economic benefit prospect.

The invention relates to an underground traffic passenger guidance system based on a smart city, and is suitable for the field of city traffic. According to the underground traffic passenger guidancesystem, through a technical means, the passenger number and the crowding degree of subway compartments are grasped in real time, and passengers are guided to take a subway effectively and comfortably.The underground traffic passenger guidance system is mainly composed of a passenger flow information collection part, an information network transmission part, an information management platform partand a passenger guidance information display part. The passenger flow information collection part collects the passenger number and the crowding degree inside each section of subway compartment and sends the passenger number and the crowding degree to the information management platform through network transmission; the information network transmission part is responsible for information transmission between platforms and sends the compartment crowding degree information to the passenger guidance information display part of the next platform through a network; and the passenger guidance information display part accurately displays the crowding degree to the waiting passengers at a corresponding waiting area in real time, and guides the passengers to choose the waiting areas with the low compartment crowding degree to wait for getting on the subway. The underground traffic passenger guidance system belongs to an intelligent traffic system. Through the underground traffic passenger guidance system, real-time statistics of the number of people in all the subway compartments can be effectively achieved, the passengers are guided to take the subway efficiently, the subway traffic transportation efficiency is improved, and the passenger take experience is improved.

The invention belongs to the intelligent device technology field, to be specific, relates to a scenic spot tourist data analysis method and a scenic spot tourist data analysis system based on Wi-Fi detectors. The scenic spot tourist data analysis system based on the Wi-Fi detectors comprises the Wi-Fi detectors, a data interaction port, a communication network, a server, application software, and cell phone APP software. The Wi-Fi detectors are disposed in scenic spots, and when Wi-Fi functions of cell phones of tourists are turned on, and the tourists enter the detection areas, the Wi-Fi detectors are used to acquire the MAC addresses and the time of the cell phones of the tourists automatically, and are used to upload the MAC addresses and the time to the server by the network. After the computing, the server is used to generate scenic spot tourist flow data, tourist flow distribution data, touring time data, and other touring data. More accurate tourist data is generated by the interaction between the data interaction interface and the scenic spot data. The portraits of the tourists are generated by matching the MAC addresses and the big data. The tourists check the routes and the tourist distribution by the cell phone APP terminals, and can avoid the crowding, and therefore touring quality is improved. The tourist touring data and the portraits of the tourists are checked by the scenic spots via the application software, and are used for scenic spot operation decision analysis.

The invention provides a circuit breaker panel with several safety features. The main breaker is separated from the circuit breakers by a non-conducting shield. The main breaker is also covered by a transparent, non-conducting shield. A further transparent non-conducting shield separates the circuit breakers from the neutral and ground bus bars. The neutral and ground bus bars are offset from one another to prevent wire crowding. Bending posts extending from the back plate of the panel help control the wire in the panel to prevent it from crossing bus bars or circuit breakers.

The invention relates to a bus passenger crowding degree identification system and method. The system comprises an image collecting module, an image preprocessing module, an image feature extraction module, an image feature training module and an image feature prediction module, wherein the image collecting module is used for collecting monitoring images after a bus leaves a station for one minute, the image preprocessing module is used for segmenting and shearing the collected monitoring images and proportionally zooming the collected monitoring images, the image feature extraction module is used for extracting GLCM (gray level co-occurrence matrix) textural features on the images processed by the image preprocessing module, the image feature training module is used for training according to the textural features extracted by image feature extraction module to obtain an XML (extensive markup language) file, and the image feature prediction module is used for reading the XML file for crowding degree training and prediction for completing the prediction for the passenger crowding degree in the monitoring images. The system and the method have the advantages that the monitoring images of the existing vehicle-mounted monitoring equipment can be sufficiently reused for recognition, the detection results of the images monitored by a plurality of cameras in the bus are synthesized, an accurate recognition on three stages of crowding degrees can be realized, and higher economic performance, reliability and high efficiency are realized.

Provided is a system for intelligently detecting a crowding degree of each train compartment and displaying the crowding degree on each shield door for conducting passengers to select compartments to get on and off. The system is composed of wide angle cameras disposed on the top of each compartment, an image processing system, a wireless transmission and a display screen at a position of a platform corresponding to compartment doors, wherein the wide angle cameras are used for shooting an image of the whole compartment at the moment, and the image processing system is used for comparing the image with an image of the compartment in an empty state to get a crowding degree of the compartment. The crowding degree is transmitted to the display screen in a wireless manner and is displayed and the passengers can make a selection according to information on the display screen corresponding to the platform. The method and the system solve problems of uneven crowding degree of each compartment of a train, a failure of full use of the transport capacity and places which are not crowed unknown for passengers and are mainly used in subway station and railway station.

The invention provides an intelligent identification system which comprises a conveyer device for conveying luggage, an X-ray image obtaining device for obtaining X-ray images of the luggage, an automatic image comparing and determining device which compares the X-ray images of the luggage with images in a database to determine whether the luggage contains prohibited goods, and a labeling device which pastes an electronic label on the luggage containing prohibited goods. Luggage containing prohibited articles is automatically identified at exit / entry ports, thereby reducing the workload of a safety checking worker, improving work efficiency and passing rate of security checkpoints, effectively preventing crowding of exit / entry at public places, and saving waiting time of passengers.

The present invention proposes a multi-source data-based crowding degree prediction method of an urban public open space. Urban multi-source data such as WeChat user number data, POI data, comment data, area attribute data, meteorological data and time attribute data are utilized to determine the spatial-temporal features of each small region in the space; the people flow indexes of a region in different historical periods are obtained from the WeChat user number chart data through using a gridding sampling adding method; the historical people flow indexes and the spatial-temporal features are inputted into a fuzzy neural network model, so that people flow index prediction can be realized; and a predicted people flow index is converted into crowding degree through using clustering and comparison. With the method of the invention adopted, the prediction of the crowding degree is successfully achieved through using the open urban multi-source data; and the technological problems of too high prediction costs caused by over-reliance on hardware equipment, and incapability of realizing accurate prediction by using a single data source of a traditional crowding degree prediction method can be solved; and prediction economic costs are decreased, and prediction accuracy is improved.

The invention discloses a method for acquiring surrounding road conditions by a mobile terminal, which relates to the method for acquiring information from a service center by the mobile terminal. The method comprises that: the service center records mapping relationships between road sections in an electronic road condition map and the road sections in a standard electronic map into a road condition table; the service center periodically updates the road conditions in the road condition table; the mobile terminal generates a road condition request comprising current position coordinates and a searching radius, and transmits the road condition request to the service center; the service center finds all the road sections meeting conditions and numbers thereof from the standard electronic map according to the road condition request, further extracts road condition states of all corresponding road sections from the road condition table, and finds congested and crowded road sections from all the corresponding road sections; the service center generates textual description information comprising the names, congestion or crowding of the road sections for the congested and crowded road sections; the service center returns the textual description information to the mobile terminal; and the mobile terminal displays the textual description information. In the method, high processing speed and small data traffic are ensured, and the mobile terminal is free from the influence of electronic road condition map sorts.

The invention discloses a public transportation onboard visual intelligent sensing system. The steps include: 1) separately collecting images of passengers when getting on and off a vehicle, images ofcrowded passengers in a standing area of the vehicle and a face image of a driver; 2) converting the image signals collected in the step 1) into a video signal; 3) subjecting the video signal in thestep 2) to calculation based on a deep learning analysis method; 4) collating the data through the related data obtained by the calculation based on the deep learning analysis method and according toprotocol requirements; and 5) establishes a wireless data communication between the collated data with an intelligent management platform. The artificial intelligence technology is used to achieve passenger statistics, in-vehicle crowding degree and face recognition, the positioning information and related information can be synchronously uploaded to a back-end service platform to achieve passenger flow statistics for each station and each line, and strong data support is provided for the analysis and forecasting of the bus passenger flow, the bus dispatch optimization and decision-making, regulation and guidance, and other transportation demands.

The present invention provides a group management control method for an elevator system. The method can reduce the in-car waiting discomfort. The method is used for group management control of a plurality of elevators with a plurality of elevator cars connected in one elevating channel. In the method, the number of people in each come-in floor and each come-out floor are predicted in the prescribed conditions according to the entrance hall calling logging information and destination floor call logging information. The predicted elevator car waiting times, the predicted elevator car waiting time and the predicted elevator car crowding degree are calculated according to the predicted passenger number and the current usage conditions. The predicted discomfort degree evaluation value is calculated according to the calculated predicted elevator car waiting times, predicted elevator car waiting time and predicted elevator car crowding degree. The calculated predicted discomfort degree evaluation value is used for determining the elevator cars distributed to each floor.

The invention discloses a method and a system for detecting road traffic incidents. The method and the system select traffic occupancy parameters as main parameters of traffic incident detection, and judge whether the traffic incidents exist or not by utilizing the posture that the traffic occupancy parameters basically form a linear growth with the improvement of the traffic crowding degree and using speed parameters as an auxiliary so as to improve the accuracy of the traffic incident detection and the scientificity of decision. The method comprises the following steps of: (1) through the sampling analysis of traffic parameters of a road section, setting a traffic occupancy differential threshold value and a speed threshold value of the road section; and (2) acquiring the traffic parameters of the road section in real time, and judging whether the traffic incidents happen or not by comparing the change of the traffic occupancy with the time with the traffic occupancy differential threshold value and the speed parameters with the speed threshold value.

The invention relates to a rail transit trip path estimation method and system. The method comprises the following steps: acquiring a communication path according to a starting place and destination of the trip; selecting a valid path from the communication path; building a trip impedance function according to trip impedance factors, and calculating out a trip impedance according to the trip impedance function, wherein the trip impedance factors comprises a transfer factor, a transfer time, a trip time, a trip factor and a crowding degree, and the crowding degree is an average of a real-time crowding degree and a historical crowding degree; and substituting the trip impedance in a pre-built probabilistic model to calculate out a selection probability distribution of the valid path. The rail transit trip path estimation method and system provided by the invention, can amend trip impedance function by amended crowding degree parameters obtained based on the real-time crowding degree and the historical crowding degree by calculating, the calculated out trip impedance has timeliness and is more accurate, and accordingly, the path selection probability distribution obtained based on the trip impedance is more accurate.

The invention provides a train passenger crowding degree early warning system which guides passengers to select relatively loose carriage doors to queue, ensures that a train can stop according to preset time, and ensures the normal operation of all subways. The method comprises the following steps of numbering each train in advance, and numbering each carriage of each train in sequence to therebyenable each carriage of each train to have a corresponding independent number; arranging an independent camera right above each shielding door in the subway station, arranging an independent crowdedness degree prompt screen, and enabling the camera and the crowdedness degree prompt screen to be in network connection an online server; clearing the number of people in the non-getting-on state of each numbered compartment at the starting station of each train; then opening the carriage door, using each camera corresponding to the position over the carriage door and the shielding door to shoot the passenger getting-on and getting-off condition, adding one once one passenger gets on the train and deducting one once one passenger gets off, enabling each camera to operate independently, and only counting the passengers getting on and getting off the current carriage door.

The invention provides a power and area optimization method of an incomplete certain Reed-Muller circuit based on NSGA-II. The method comprises the steps of (1) converting an incomplete certain Boolean logic function into a zero polarity incomplete certain RM expression, (2) encoding the binary number of don't care term option of the incomplete certain Boolean logic function as a chromosome, (3) establishing a power area estimation model, (4) establishing a power area target function, (5) establishing fitness functions related to a power and an area, (6) determining a constraint, (7) initializing parameters, (8) generating an initial population and performing non-dominated sorting, (9) performing selection crossover and mutation and generating a son generation population, (10) combining father and son generation populations and performing non-dominated sorting, (11) calculating an individual crowding degree in a non-dominated layer and forming new father and son generation populations, (12) performing selection crossover and mutation on the new father and son generation populations and generating a new son generation population, (13) returning to the step (10) if current evolution generation number is smaller than or equal to a maximum evolution generation number, otherwise, outputting an optimal solution set, and (14) selecting an optimal don't care term option from the optimal solution set and obtaining a corresponding complete certain RM expression.

The invention discloses an early warning and diversion method and system for intelligent anti-crowding stamping. The method comprises: collecting images on each road segment in the venue at a preset acquisition rate by using a distributed camera and uploading the images to a server; performing gridding division on the images and performing personal flow detection through object center identification in the grid set, and calibrating the number and position information of the images; obtaining a current crowd speed threshold of the venue according to the load information; calculating the path and the speed of the image in the position; generating a personal flow model of each road segment scene, and generating a personal flow density map of the venue; obtaining the crowd speed of the currentcrowd in each road segment scene from the personal flow density map, and automatically generating an alarm signal for early warning and diversion of the crowding stamping when the crowd speed reachesor exceeds the current crowd speed threshold. According to the early warning and diversion method and system for intelligent anti-crowding stamping, the traffic efficiency is greatly improved, and the occurrence of crowding and stamping events is prevented.

The invention provides a freight allocating method for a track transportation system; the method is a 'two stage and double proportion' allocating method which is provided based on a passenger travel multi-path choice probabilistic method. The allocating method comprises the following steps: describing road network information and presenting digitization; establishing impedance functions of the comprehensive travel; searching K pieces of gradual short paths by the OD relative distance and calculating the comprehensive travel impedance value of practicable paths; judging the path effectiveness and calculating the path passenger flow sharing proportion based on the comprehensive travel impedance; considering the correction of the transferring and the crowding degree on the path passenger flow sharing proportion; calculating the allocating proportion; and finishing the allocation of the freight. The freight allocating method can guarantee the total income from the track transportation system to be equally distributed according to the contribution of all operational entities and guarantees the interdependence relation of all elements in the system operation value chain thereof.

The invention relates to the technical field of elevator management. The embodiment of the invention provides an elevator allocation method and system. The elevator allocation method comprises the steps of acquiring floor images of each floor and elevator images in each elevator; calculating the floor crowd density of each floor and the elevator crowd density of each elevator based on the floor images and the elevator images; and acquiring the elevator allocation requests from multiple floors, and allocating the multiple elevators according to the floor crowd density, the elevator crowd density and the elevator allocation requests. Therefore, it can be achieved that the elevators are allocated to the floors which give out the requests for elevators and are higher in floor crowd density preferentially, and crowding of the floors with more people needing to take the elevators can be effectively relieved.

Method and apparatus for working-place backflow of robots, comprising: acquiring current coordinates of robots currently in an idle state in a working place; acquiring all destination coordinates where the robots are going to return; calculating, according to distances and time from the current coordinates to all destination coordinates, target destination coordinates nearest to the current coordinates; controlling the robots to move out of the working place according to backflow paths corresponding to the target destination coordinates, ensuring order departure of the robots; performing, when paths intersect, queuing management on the robots, to determine a crowding point zone; setting, according to pass requests sent by robots in the crowding point zone, scheduling commands respectively for the robots in the crowding point zone; and sending the commands respectively to the robots in the crowding point zone, to make the robots having received the commands pass through the crowding point zone based thereon.

The invention relates to a road condition early warning system. The road condition early warning system comprises a plurality of image shooting devices, a monitoring center and a portable electronic device, wherein the image shooting devices are arranged in a plurality of monitoring areas so as to obtain real-time images of the monitoring areas; the monitoring center is used for obtaining the real-time images of the monitoring areas from the image shooting devices, analyzing the degree of crowding of a road according to the real-time images and marking the degree of crowding on map information; and the portable electronic device is used for obtaining the map information with marks of the degree of crowding from the monitoring center. The road condition early warning system enables a driver to obtain real-time and accurate road condition information at any time, and a correct road is chosen so as to prevent from losing time caused by traffic jams. Meanwhile, the traffic flow of a traffic jam area is reduced since the driver changes the route, so that the degree of crowing of the road is relieved. The invention further provides a road condition early warning method.

The invention relates to a crowd density monitoring method and device based on a Wifi network. The method includes the following steps that firstly, each terminal collects real-time position information of itself, and the collected position information is sent to a position sensing unit through the Wifi network; secondly, the position sensing unit receives the position information sent by the multiple terminals, integrates all the position information and sends the position information to a server; thirdly, the server analyzes and processes all the position information, calculates crowd density and flow information, and displays the crowd density and flow information in a graphical mode; fourthly, the server calculates countdown, and the first step is executed after countdown is over. All the position information of users is collected in real time, can be converted into visual graphic interfaces, and is provided for managers for conducting intervention, adjustment and taking other emergency measures in time, malignant mass incidents such as meaningless crowding and stampede are avoided, and safety can be improved under the current social environment.

The invention discloses a bus crowding degree detection system and method. The system comprises at least one camera fixed at the roof of a bus, multiple features points arranged in the bus, a data transmission module, a server, and a client, wherein the data transmission module is respectively connected with the camera and the server; the client is in network connection with the server; setting locations of multiple feature points are selected from the passenger seats and the bus passage floor. By identifying the feature points in the bus as the fixed location identification of a static image,the processing is simple, the system complexity is greatly reduced, and the efficiency is improved.

The embodiment of the invention discloses methods and devices for building a place crowding degree forecasting model and forecasting the place crowding degree. The method for building the place crowding degree forecasting model comprises the following steps: acquiring target user positioning data corresponding to floating people from target place positioning data corresponding to a target place; and training a standard time forecasting model according to a staying time parameter determined by the target user positioning data, and generating a crowding degree forecasting model corresponding to the target place. By means of the technical scheme disclosed by the invention, modeling of the crowding degree of a place is realized by screening useful data in mass positioning data, so that the built crowding degree forecasting model can be used for forecasting the amount of flowing people, entering the target place at different forecasting time points, within different staying time ranges, and a user can pre-judge the crowding degree of the place based on a forecasting result; and therefore, the travel efficiency of the user can be improved, and the invalid waiting time of the user in the target place is shortened.