1014 results about "Public place" patented technology

The system enables one to securely recycle an electronic device in a publicly accessible location. In particular, the embodiment described may be used by a mobile phone owner to submit his / her mobile phone for recycling via an electronic kiosk and receive compensation in some form. The compensation might be dispersed via cash, voucher, credit or debit card, or other magnetic or electronic transaction methods.

The invention relates to the technical field of public security monitoring, in particular to a public security situation prediction method and system based on multi-modal data fusion. The method comprises the following steps: performing continuous video monitoring and non-inductive discovery on a public place to obtain non-inductive discovery data of the public place; performing multi-modal data feature extraction on the public place non-inductive discovery data to obtain security threat multi-modal feature data; performing situation assessment on the security threat multi-modal feature data to obtain security threat event level data, and performing event level division on the security threat multi-modal feature data according to the security threat event level data to obtain security threat risk event data; and performing automatic response control according to the security threat risk event data to obtain response control early warning data, and performing multi-view evaluation optimization according to the response control early warning data to obtain response control early warning optimization data. According to the invention, the potential security situation can be predicted, and the level of public security management is improved.

The invention relates to the field of security inspection management, and particularly discloses a public place security inspection management system based on Internet of Things, which is characterized in that a plurality of fixed inspection nodes are arranged in a key inspection area according to public place types and layout identification, and the rationality of the arrangement of the fixed inspection nodes is ensured; each to-be-selected inspection route of the inspection equipment is formulated according to a fixed inspection node, a historical emergency location and current pedestrian flow distribution, and an optimal inspection route is screened according to an inspection coverage degree and an inspection equipment energy consumption evaluation index, so that the dynamic planning and adjustment of the inspection route of the inspection equipment are realized, and the inspection efficiency is improved; according to the method, video data and measurement data collected by fixed inspection nodes and inspection equipment are extracted, hidden danger points in a public place are identified and safety risk levels are evaluated and corresponding early warning is performed in combination with a safety event sample map library and an environment parameter range, multi-source data fusion is realized, and the judgment precision of safety risks in a complex scene is improved.

The invention discloses traffic safety equipment centralized control middleware and an application method. The method comprises the following steps: determining a road section and / or a congested intersection with vehicle congestion characteristics based on the traffic safety equipment centralized control middleware; identifying a blocked point, and determining the congestion type of the blocked point; obtaining road use conditions of communities around the related road sections and / or roads inside the social public places; the method comprises the following steps: acquiring traffic operation conditions of road sections associated with congested road sections and / or congested intersections, and formulating related dispersion strategies according to arrangement conditions of traffic safety equipment of each road section and / or each intersection and road use conditions of internal roads of communities and / or social public places around the related road sections; and executing the related grooming strategy. According to the invention, intelligence and automation of the traffic system are realized, and the traffic efficiency is improved.

The invention relates to the technical field of artificial intelligence, and discloses an event prediction method and system based on multi-modal fusion, and the method comprises the steps: constructing a knowledge graph encoder, and converting domain expert knowledge into learnable vector representation; constructing a multi-granularity feature extraction network, and extracting features from different microcosmic, mesoscopic and macroscopic scales; realizing a knowledge-guided attention mechanism, and dynamically adjusting feature scale importance; constructing a prototype learning module, and establishing prototype representation of the abnormal category; a knowledge migration mechanism is constructed, and the generalization ability of the model to novel anomalies is enhanced; and multi-granularity abnormal event detection and early warning are realized, and a detection result and interpretable analysis are output. According to the method, through combination of knowledge guidance and multi-scale feature learning, efficient identification and early warning of social abnormal events under the condition of data scarcity are realized, and the method is suitable for the fields of public place safety monitoring, urban traffic safety management, large-scale activity safety guarantee and the like.

The invention relates to the technical field of intelligent traffic, and particularly discloses a pedestrian movement track prediction method and system based on visual information and a storage medium, and the method comprises the following steps: unmanned aerial vehicle data collection, coordinate projection transformation, coordinate sampling and track aggregation, sampling of pedestrian ground real coordinates after projection transformation, and tracking of the pedestrian movement track. Aggregating the coordinate data into trajectory information of a plurality of pedestrians; spatial visual information and time information are combined, a global interactive directed topological graph is constructed, then spatial feature and time feature extraction is performed, time sequence features of pedestrian motion are efficiently extracted through a multilayer convolution structure, and finally the future motion trail of pedestrians is predicted. Through the method, pedestrian motion in a complex scene can be predicted more efficiently, and the application effect of the model in pedestrian flow management and public safety planning is enhanced. The future movement condition is predicted by analyzing the historical trajectory of pedestrians, the pedestrian flow management is obviously optimized, and the safety level of public places is improved.

The utility model belongs to the field of smoke exhaust equipment in public places, in particular relates to a fire-fighting smoke exhaust filtering device for public places, and aims to solve the problems that the conventional fire-fighting smoke exhaust filtering device is generally poor in filtering effect and difficult to maintain. In order to solve the problems that in the prior art, in the prior art, a single filtering mode cannot meet the requirement, the following scheme is provided: the device comprises a filtering box, a supporting bottom plate is fixedly connected to the bottom of the filtering box, air holes for air inlet and air outlet are formed in the two sides of the filtering box, and an air outlet filtering plate and an air inlet filtering plate are fixedly embedded in the two air holes respectively; the middle position of the inner wall of the filter box is fixedly connected with a partition plate, the primary filter assembly and the refilter assembly are arranged, and the primary filter assembly is used for primarily filtering flue gas through an annular filter screen to remove large-particle impurities; and the refiltering assembly adsorbs and filters the flue gas again through activated carbon in a first sleeve and a second sleeve, so that harmful substances in the flue gas are effectively removed.

The invention relates to the technical field of illumination control, in particular to a public place illumination intelligent regulation and control method capable of distinguishing multiple environments. The method comprises the following steps: firstly, classifying public places, analyzing activity and personnel behavior characteristics of the public places, determining an illumination function and influence variables, and defining a target model; secondly, establishing an analytic hierarchy structure, and constructing a judgment matrix to calculate a weight vector and check consistency by taking an illumination function as a target layer, relevant factors as a criterion layer and public places as a scheme layer, and distributing regulation and control weights; and finally, determining lighting functions and a target model thereof according to the priority, setting an initial value, adjusting variables, solving a current value, judging whether the current value meets a threshold value or not, and regulating and controlling in sequence until all lighting functions are met. According to the method, the requirements of different places can be accurately met, the regulation and control weight is scientifically determined, multi-target regulation and control are efficiently realized, and a flexible regulation and control strategy is also provided.

The invention belongs to the field of indoor public place illumination control, and particularly discloses an illumination energy-saving control system with a self-learning function in a public indoor space, which is designed to capture illumination intensity change data of an indoor environment and personnel distribution image information of each indoor area. The collected illumination intensity change data and personnel distribution image information are sent to a main control unit; sending the illumination intensity change data and the personnel distribution image information to a cloud platform; based on a data analysis algorithm and an image recognition technology, the uploaded illumination intensity change data and personnel distribution image information are deeply compared and analyzed to recognize a real-time change mode of an illumination demand and personnel distribution, and based on an analysis result, a light adjustment instruction is generated and corresponding adjustment operation is executed, so that indoor light is adjusted in real time, and the user experience is improved. It is ensured that the illumination intensity meets user requirements, unnecessary energy waste is avoided, and therefore high efficiency and energy saving are achieved.

The invention discloses an infrared-visible light smoking detection method in one aspect. On the other hand, the invention discloses an infrared-visible light smoking detection system which is characterized by being used for realizing the infrared-visible light smoking detection method and comprising an infrared camera; a visible light camera; a detection analysis module; an output module; and an alarm output module. By analyzing the infrared image and the visible light image respectively, the smoking behavior can be effectively detected in various environments, especially in low-light or sheltered scenes, and the public safety monitoring capability is improved. In addition, the method has real-time performance and high accuracy, and is suitable for public places and sensitive areas where smoking behaviors need to be strictly monitored.

The invention relates to the technical field of gas component detection, in particular to a public place gas detection method based on gas chromatography, which comprises the following steps: a mobile robot covers all areas of a public place according to a predetermined path, collects an air sample, and pretreats the collected gas sample through a filter or an adsorbent; a gas sample enters a detector after being separated by a gas chromatographic column, and harmful gas components are identified; according to the detected harmful gas concentration, combining historical data and a threshold value, calculating the danger level of each region, and carrying out danger level division on the region of the public place; according to the danger level, the system automatically selects and executes corresponding countermeasures; and the system records a historical data set of all countermeasures, and optimizes the countermeasures through a machine learning algorithm. According to the invention, full coverage, multi-area dynamic monitoring, accurate risk prediction and grading processing can be realized, and the response speed and the use effect of the system are improved.

The utility model discloses an anti-theft and tamper-proof soap dispenser used in public places and capable of reducing plastic use, and relates to the technical field of soap dispensers, the soap dispenser comprises a structure formed by matching an inner shell and an outer shell in a sliding sleeve mode, the inner shell and the outer shell are matched to form a closed space, and the closed space is used for containing a bottle capable of being filled repeatedly or a disposable bag. The inner shell and the outer shell are fixedly locked through a spring and a metal bolt, a clamping groove is formed in the back to enhance the connection strength, and only a magnetic key is allowed to be used for opening. According to the soap dispenser, through multiple technological innovations and design optimization, the problems that an existing soap dispenser is generally poor in anti-theft and tamper-proof effects, plastic waste is serious, pollution is caused by repeated filling, maintenance is difficult, the appearance is not attractive, and user experience is poor are solved; the method is of great significance in improving the use efficiency of cleaning supplies in public places and the user experience.

The invention relates to the technical field of new energy automobile charging piles and intelligent control, and discloses a charging pile with a split gun pile and an intelligent regulation and control charging method.The charging pile with the split gun pile and the intelligent regulation and control charging method comprise an intelligent power distribution module, a charging control module and a charging control module, according to the intelligent charging system, the charging power can be flexibly adjusted, the optimal power matching is realized, and the charging efficiency can be improved. According to the gun pile split type charging pile and the intelligent regulation and control charging method, after charging is completed, a vehicle owner can take away the charging wire along with a vehicle easily, the design is simple and attractive, convenience of city management is greatly promoted, disordered stacking of the charging wire in public places is avoided, the tidiness and attractiveness of the city environment are kept, and meanwhile, the charging pile is convenient to use. The charging line is taken away along with the vehicle, so that the maintenance cost of the charging pile is reduced, the service life of the charging pile is prolonged, and positive contributions are made to urban management and sustainable development.

The invention provides an artificial intelligence-based electronic cigarette control method and system. The method comprises the following steps: generating a current environment volume size and current environment electronic cigarette smoke concentration distribution diagram by using a generative adversarial network based on a camera monitoring video of a current environment; determining personal information of each non-smoking person, a smoke concentration bearing threshold value of each non-smoking person, the position of each electronic cigarette, and the direction and distance between each electronic cigarette and each non-smoking person by using a camera processing model based on the camera monitoring video of the current environment; constructing a knowledge graph; processing the knowledge graph based on a graph neural network model to determine the power of each electronic cigarette; according to the method, the power of each electronic cigarette is sent to the corresponding electronic cigarette, and the power of each electronic cigarette is adjusted based on the power of each electronic cigarette, so that the influence of the smoke of the electronic cigarettes on non-smokers in public places can be reduced.

The invention discloses a long-distance identity recognition method for a large area, which belongs to the technical field of computer vision and comprises the following steps: S1, initializing a system; s2, collecting video data; s3, pedestrian detection and segmentation; s4, performing gait recognition; s5, multi-target cross-camera tracking is carried out; and S6, result output and application service. According to the invention, an effective solution is provided for large-scene video intelligent security and protection in a complex environment of a park, the accuracy and traceability of personnel identity recognition in a high-risk area are ensured, and the safety production level of the park is improved; a long-distance multi-target identity recognition scheme is provided, real-time monitoring and early warning of illegal person invasion in key protection areas are achieved, and reliable safety guarantee is provided for public places.

The present invention allows for the creation of a biometrically secure environment that allows viewing, editing and sharing of confidential documents, or the like, in public places, without worrying that someone will see the contents. The invention provides privacy, for example for the purposes of reading documents, in a public environment while having the confidence that you are the only one able to read the document. Privacy may be achieved through methods of identification using biometric features, such as: face, iris or voice recognition. Verification that a real person is viewing the document may also be achieved by pulse recognition. In one embodiment, the screen will shut down when more than one person looks directly at the screen.

The invention relates to a whole-body wear-resistant special granite ceramic tile for public places and a preparation method thereof. The ceramic tile comprises a polycrystalline-phase wear-resistant green body layer and a decorative wear-resistant layer, and a polycrystalline-phase wear-resistant green body comprises the following raw material components in percentage by weight: 8-15% of ball clay, 8-15% of high-whiteness kaolin, 10-15% of mixed mud, 0-5% of calcined talc, 3-6% of bentonite, 15-25% of potassium sodium stone powder, 8-15% of finely ground lithium tailings, 4-8% of calcined bauxite, 15-25% of fine corundum powder and 0-5% of superfine zirconium silicate. 0-5% of high-purity anatase titanium dioxide powder, 0-1% of a green body reinforcing agent and 1-3% of a dispergator. According to the invention, the polycrystalline phase green body is sintered at high temperature to generate the high-hardness wear-resistant decorative layer, so that the product not only has the properties of high hardness and good wear resistance of natural granite, but also has the physical and chemical properties of pollution resistance, strength, radioactivity and the like, and perfectly presents the texture effect of granite stone.

The invention relates to the technical field of monitoring video management, in particular to a public place security and protection video monitoring management system and method, and the method comprises the steps: obtaining video data of all cameras in a public place monitoring region, and screening out candidate video streams for subsequent security and protection video monitoring management from the obtained video data; calculating the similarity between the video frame of the monitoring area and the candidate video stream, and carrying out image matching based on a calculation result; and according to the constructed public place monitoring area matching image set, abnormal behavior detection is realized through a cross validation algorithm. According to the method, the candidate video streams are automatically screened out by calculating the similarity between the video frames and the visual angle difference of the camera, so that the processing burden of irrelevant video streams is reduced; by means of multi-camera data streams and scene layout information, event coverage in a monitoring area is ensured to be complete through cross validation, potential abnormal behaviors and potential safety hazards can be effectively identified in combination with an anomaly detection algorithm, and the identification precision is improved.

The invention relates to the technical field of intelligent cabins, in particular to a vehicle speed threshold value adjusting method and device, a vehicle, a medium and a program product. Obtaining a geo-fence boundary and a first speed threshold value in an area enclosed by the geo-fence boundary; and when the position of the vehicle is located in the area defined by the geo-fence boundary, adjusting a second speed threshold value of the vehicle to be the first speed threshold value. In this way, the speed threshold value of the vehicle is adjusted according to the position of the vehicle. On one hand, casualties or other losses caused by the fact that the vehicle is out of control due to too high speed in a public place can be avoided, and on the other hand, under the scene that speed limiting is not needed, it is ensured that the vehicle can be kept at a high speed, and the situation that the driving experience of a user is affected due to speed limiting is avoided.

To provide a measure formulation method and a measure formulation system that can formulate more diverse measures quickly and efficiently by more accurately grasping needs of a local resident in a public space.SOLUTION: A measure formulation method executed by a measure formulation system that uses a virtual space that simulates a real space to evaluate a measure related to the use of the real space, generates, on the basis of user input, using a generative AI, a measure goal and constraint. Then, the method generates, on the basis of the goal and the constraint, using a generative AI, a simulation task for executing a human-flow simulation that simulates a flow of a human for the measure. The method then executes a simulation task on a virtual space to perform the human-flow simulation, and displays the result of the human-flow simulation on a display screen.SELECTED DRAWING: Figure 14

The invention relates to a panic pedestrian wandering behavior recognition method and system based on a motion trail, and the method comprises the following steps: obtaining a motion image of a pedestrian, recognizing the motion mass center of the pedestrian based on the image, and constructing the motion trail of the pedestrian; according to the pedestrian wandering behavior criterion, performing wandering behavior identification on the motion trail of the pedestrian to obtain an identification result; wherein the establishment of the pedestrian wandering behavior criterion comprises the following steps: drawing possible wandering motion trails in different scenes by referring to common wandering behaviors in public places; and analyzing the wandering motion trails of the pedestrians to obtain a pedestrian wandering behavior criterion. Compared with the prior art, different wandering motion modes in different scenes are considered, and pertinence of pedestrian wandering behavior recognition is improved.

A remotely controlled powered chair may include a support frame, a seat pivotally mounted on the support frame, an rotary actuator mounted between the support frame and the seat to drive the seat to move relative to the support frame, a backrest pivotally mounted on the seat, and a linear actuator mounted between the seat and the backrest to drive the backrest to move relative to the seat. Thus, the rotary actuator may be controlled by an electrically control device to drive the seat to pivot relative to the support frame reciprocally in a pendulum manner so that the seat is pivoted relative to the support frame automatically. In addition, the linear actuator may be controlled by the electrically control device to adjust the inclined angle of the backrest so as to provide a comfortable sensation to the user.

The invention relates to the field of campus energy-saving management, and discloses a smart campus energy-saving management method and system based on the Internet of Things, and the method comprises the following steps: transmitting collected power utilization data to a cloud server for storage; ultrasonic signals of the campus building are obtained and transmitted to the cloud server; defects existing in the campus building are recognized, and defect repairing is carried out; formulating energy-saving strategies of classes and public places; if the daily power consumption of the class or the public place exceeds the daily energy-saving power consumption target power, feeding back to a manager; the system comprises a power utilization data acquisition module, an ultrasonic data acquisition module, a model construction module, a power utilization equipment adjustment module and an energy-saving feedback module. The defects of the building structure can be found and repaired in time, potential safety hazards can be prevented, the thermal insulation performance of the campus building can be guaranteed by repairing the campus building, the place where water possibly leaks can be found in time, and energy consumption of the campus building is reduced.

The invention provides a linkage illumination control method, system and device based on multiple devices and a medium, and the method comprises the steps: carrying out the function partition planning of the internal space of a public place, and setting a differential illumination standard value according to the use characteristics of each region; the method comprises the following steps: collecting real-time illumination parameters of all orientations of the periphery of a building through a deployed illumination sensor, and establishing an indoor space gridding lighting model to obtain indoor natural light distribution; based on the natural light distribution of each indoor area, using a compensation natural light model to adjust the brightness of lighting equipment in each indoor area; a prediction model is established through historical indoor illumination data and weather data, real-time weather and time information is input into the prediction model to predict indoor natural light distribution, and the brightness of illumination equipment in each indoor area is adjusted based on the predicted indoor natural light distribution. According to the invention, unnecessary power consumption can be reduced, natural light is utilized to the maximum extent, and total energy consumption is reduced.

The utility model discloses a spring rocking horse which aims at improving the loading capacity and the resetting performance of a child toy and enhancing the use safety so as to prevent an overturning accident. The spring rocking horse comprises a horse main body, a chassis and a supporting spring. The bottom of the supporting spring is fixed to the chassis, and the top is connected with the horse body to ensure structural stability. A lifting hole is formed in the chassis and matched with a lifting cylinder barrel and a manual lifter, a user is allowed to adjust the load capacity of the horse body to meet the requirements of different children, meanwhile, the horizontal state is maintained, and the turnover risk is reduced. The sliding piston body and the elastic supporting body in the piston cavity are connected with the elastic rod in the small horse body, good reset performance is provided, and the rocking horse can rapidly restore to the original shape after being stressed. According to the overall design, the mechanical layout is optimized, high-quality materials are selected, the durability and safety are improved, the toy is suitable for being used in families and public places, and a safe and stable recreation facility is provided for children.

The invention discloses a public place intelligent interaction robot control method and an interaction robot, and relates to the technical field of artificial intelligence, and the method comprises the steps: taking a user terminal corresponding to an earliest path navigation instruction as a target terminal; sending a shooting instruction to the target terminal, wherein the shooting instruction is used for calling a camera of the target terminal to enable the target terminal to shoot a face image of a target user corresponding to the target terminal; performing semantic recognition on the voice information, determining a first target location where the target user needs to arrive, and performing face recognition on the face image to obtain travel information of the target user; determining a user level of the target user according to the first target location and the travel information; determining an optimal matching robot according to the user level, the first target location, the information of each robot and the first current location; and generating and displaying a path regulation and control scheme of the optimal matching robot. According to the invention, the user experience of using the robot can be effectively improved.

The utility model discloses a storage device on a draw bar of a luggage case, which comprises a draw bar body mounted on a luggage case body, a storage platform and a rest stool are arranged on the draw bar body, and the storage platform comprises a connecting plate movably connected to the draw bar body, a storage plate hinged to the connecting plate and a supporting piece used for supporting the storage plate. The utility model has the beneficial effects that for public places such as airports, railway stations, bus stations, outdoor roads and the like, when no rest seats exist, the object placing device on the pull rod can be used for placing objects on the pull rod, so that the rest stool can be used for placing objects on the pull rod, and the rest stool can be used for placing objects on the pull rod. The storage platform can be provided at any time for placing a notebook computer and a tablet computer for working, watching drama and the like, the rest stool can be provided for temporary rest, dining and the like, the functions are diversified, and the practicability is high.

The invention relates to the technical field of public safety personnel evacuation, discloses a public emergency emotional infection simulation method, and aims to solve the problems that an existing emotional infection simulation model does not fully consider a group emotional propagation theoretical mechanism and the influence of personality characteristics of an intelligent agent and is insufficient in simulation precision and authenticity. The method is based on an improved SIRS (Susceptable-Infected-Recovery-Susceptable) model and an OCEAN large five-personality model, and is realized through the following six core steps: 1) constructing a three-dimensional simulation model of a public place; 2) initializing personality characteristics, emotional states and behavior states of the agents; 3) calculating an emotion propagation process (including a propagation range, an influence value, a distance weight and emotion conflict processing) between the intelligent agents; the method comprises the steps of (1) acquiring the emotion of the intelligent agent, (2) calculating the emotion attenuation of the intelligent agent, (3) determining the evacuation speed and completing analogue simulation, (4) realizing the behavior logic of the intelligent agent in different emotion states, (5) calculating the emotion attenuation of the intelligent agent, and (6) determining the evacuation speed and completing analogue simulation. The method can accurately restore the emotion infection and evacuation behaviors of the crowd in an emergency scene, improves the simulation authenticity and lightweight level, and provides decision support for emergency evacuation scheme making and emergency management.

The invention relates to the field of fire risk assessment, in particular to a public place fire risk assessment method and system, and the method comprises the steps: building a communication channel attenuation model through high-temperature smoke interference parameters of a target place, and calculating comprehensive signal attenuation coefficients of different spatial positions of the target place; performing dynamic interference analysis on the multi-mode communication network of the target place according to the comprehensive signal attenuation coefficient to obtain a communication system stability coefficient; and analyzing the stability coefficient of the communication system in combination with historical fire data to obtain a communication topology vulnerability map of the target place under high-temperature smoke interference, and obtaining a risk assessment result of the target place according to the communication topology vulnerability map. The risk assessment accuracy of the fire-fighting communication system under the interference of high-temperature smoke in public places is effectively improved, and the fire-fighting safety guarantee level in public places is improved.

The invention discloses a public place indoor smoking identification and solution system, which comprises a data acquisition module, a data import module, a server module and a data export module, and is characterized in that the data acquisition module is used for acquiring a trained target detection model; the data import module is used for acquiring indoor video data streams and smoke environment information and transmitting the information to the server module, and the server module is used for storing the video data streams and the smoke environment information and judging whether a person smokes indoors according to the video data streams and the smoke environment information at the current moment; if yes, the number and the position of the smoker are obtained, if not, whether a person smokes indoors at the next moment or not is judged again, and the data export module is used for controlling the mobile intelligent device to track according to the position of the smoker and give an alarm. According to the invention, the rate and accuracy of identifying the smokers are improved. Meanwhile, a sound alarm can be given to smokers in time, so that the problem of indoor smoking is effectively solved.