626results about "Checking apparatus" patented technology

A real-time inventory management system that includes: a centralized control platform module configured to receive, consolidate, and process inventory data from multiple sources, including warehouses, retail stores, and distribution centers; an IoT and sensor module with RFID tags, barcode scanners, and smart sensors configured to track inventory items, monitor environmental conditions, and update inventory records in real time; a machine learning and demand forecasting module configured to analyze historical inventory data, market trends, and external factors to predict future demand and optimize inventory levels; an automatic replenishment and replenishment module configured to dynamically generate and execute replenishment orders based on real-time inventory levels and forecasted demand; a data integration and synchronization module configured to enable seamless communication and data synchronization with external systems, including Enterprise Resource Planning (ERP) platforms and supplier networks; a user interface and dashboard module configured to display real-time inventory status, actionable insights, and key performance indicators (KPIs) for decision-making.

An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, and a software platform. Geofences are utilized to create boundaries around physical areas, such as locations for package delivery or property boundaries. The EM device and other devices connected to the software platform are configured to monitor the geofences and detect a presence of an activity, an event, an object, or a device. At least one license plate reader is utilized to read license plate characters. Voice recognition and voice identification are used to grant or deny permissions for individuals on a property

The invention provides an intelligent barn automatic inspection system and method, and relates to the technical field of intelligent inspection, the system comprises an inspection robot, a 5G communication transmission module and a remote computer, the inspection robot comprises an environment sensing module for generating and updating an environment map and identifying obstacle information; the autonomous navigation control module comprises a path planning unit for generating an inspection path and performing local path adjustment; the obstacle avoidance unit is used for generating an obstacle avoidance strategy; the motion control unit controls the movement of the inspection robot; the data acquisition module is used for acquiring information in the granary; the data processing and analyzing module is used for processing and analyzing the collected multi-source data and outputting a monitoring report and early warning information; wherein the 5G communication transmission module is connected with the inspection robot and the remote computer, and is used for transmitting data output by each module in the inspection robot and receiving an instruction sent by the remote computer. According to the invention, real-time sensing, intelligent obstacle avoidance and autonomous inspection of the granary environment are realized.

An AI-based inventory optimization system implemented as a device for pharmaceutical supply chains. The system includes: a structural frame defining a plurality of modular storage compartments, each compartment equipped with robotic racks mounted on motorized drive assemblies, the drive assemblies configured to translate drug containers along three-dimensionally guided rails; an array of environmental sensors arranged in the compartments, the sensors comprising temperature sensors, humidity sensors, and vibration sensors, each sensor electrically connected to an edge processing module housed in the frame, the edge processing module configured to pre-process sensor data using convolutional neural network models to detect deviations in cold chain compliance; a central processing unit comprising at least one GPU or neural processing accelerator, the central processing unit executing a recurrent neural network-based demand forecasting engine and a reinforcement learning agent-based optimization engine, the processing unit generating control signals for redistribution policies that minimize predicted shortages, waste, and regulatory violations; a conveyor-driven dispensing unit operatively connected to the actuator units, the dispensing unit comprising belt actuators, RFID tag readers, and load sensors, and configured to redistribute goods between compartments or to external dispensing points; a communications gateway that supports both 5G and LPWAN connectivity protocols for real-time synchronization with distributed supply chain nodes and cloud servers; and A blockchain-integrated cryptographic module embedded in the central processing unit, configured to digitally sign and record every inventory movement, environmental condition, and redistribution command in a distributed ledger, thus ensuring immutable traceability of the drug inventory.

An example operation includes one or more of iteratively receiving sensor data of current waiting times at a plurality of charging stations and iteratively generating updated sensor data for the plurality of charging stations based on the iteratively received sensor data, identifying a charging station among the plurality of charging stations that has a queue length that is below a predetermined threshold based on the updated sensor data, dynamically generating content associated with the charging station based on the queue length being below the predetermined threshold, notifying a vehicle about the charging station and the content, detecting the vehicle performing a charging operation at the charging station while the queue length is still below the predetermined threshold, and presenting the content on a graphical user interface (GUI) of a software application of the vehicle in response to detecting the charging operation being performed while the queue length is still below the predetermined threshold.

The invention belongs to the field of medical information systems, and provides a medical institution full-process doctor-seeing path planning method and system based on artificial intelligence, and the method comprises the steps: modeling each doctor-seeing link in a medical institution into a directed graph; the node features and the edge weights of the directed graph serve as input, the node features are updated through a graph neural network, and the weight of each node is dynamically generated; a queuing theory model is adopted for modeling according to the queuing condition of each node, and the average waiting time of each node is calculated; designing a multi-objective optimization function, and taking balance of the shortest path and the minimum waiting time as an optimization objective to generate an optimal doctor-seeing path scheme; the resource state of each node is dynamically monitored based on a real-time feedback mechanism of the Internet of Things equipment and a hospital information system, and when it is monitored that the resource state or waiting time of the node is changed, the graph neural network and the queuing theory model are recalled to update node features and priority weights.

The invention discloses an electric vehicle charger safety waiting management method and system based on an improved sequential network. The method comprises the following steps: S1, recording vehicle remaining capacity, accessory power consumption, a thermal risk tag and service pressure; s2, dividing active units according to a queuing order and service pressure, constructing an energy consumption and heat dissipation double-layer topology, and updating a weight in real time; s3, writing the double-layer topology and the historical state into a time sequence buffer area, traversing edge weight iteration vehicle electric quantity and battery temperature, and calculating a safety window; s4, calculating the waiting time of each vehicle according to the safety window and the queuing data, and generating a risk sequence; s5, the vehicles of the same unit are locally rearranged preferentially according to the urgency degree, and a correction queue is formed after fairness and connectivity verification; and S6, intercepting the correction queue according to idle stations, completing vehicle and station mapping, and issuing a charging instruction after reachability and power verification. The method has great superiority in microscopic safety evaluation, dynamic topology increment maintenance and real-time rearrangement giving consideration to safety and fairness.

The invention discloses an interactive travel guide system based on an AR technology, and relates to the field of travel guide. Through the three-dimensional virtual tour guide generation module and the historical scene miniature reduction module, a unique virtual tour guide image is constructed in combination with local cultural characteristics, and a historical scene is presented in a miniature model manner, so that a user can intuitively perceive the original appearance and change of a relics or cultural place, and the manner greatly enriches tour guide contents and improves the tour guide efficiency. According to the method, the cultural cognition depth of tourists is improved, the immersion and interestingness of sightseeing are enhanced, and compared with traditional character labeling or static information superposition, a more vivid and visual historical culture display means is provided. Besides, the data processing and interaction control module is used for dynamically updating the presented virtual tour guide information and the historical scene restoration content, and the personalized interaction mode not only improves the flexibility of tour guide, but also can adjust the display content according to the real-time feedback of the user, thereby meeting the diversified requirements of tourists.

An example operation includes one or more of establishing global positioning system (GPS) coordinates of a virtual geographic boundary around a charging station through a software application, receiving a message from a vehicle which comprises a state of charge (SOC) of the vehicle and an identifier of the vehicle, verifying the vehicle based on the message, detecting that the vehicle has entered the virtual geographic boundary around the charging station based on GPS coordinates of the vehicle, and delivering content to a graphical user interface (GUI) of the software application in response to detection that the vehicle has entered the virtual geographic boundary.

The invention provides a literature and blog exhibition hall virtuality and reality fusion guide system and method based on digital twinning, and belongs to the technical field of exhibition hall guide. Data extraction is performed on a literature and blog exhibition hall, literature and blog exhibition hall compound data is acquired and preprocessed, and a literature and blog exhibition hall compound data set is generated and subjected to analogue simulation; the method comprises the following steps: constructing a tourist sensory analysis model, a tourist behavior analysis model and a cultural relic state analysis model, constructing a cultural relic exhibition hall guide model based on the tourist sensory analysis model, the tourist behavior analysis model and the cultural relic state analysis model, performing model distillation to obtain a lightweight cultural relic exhibition hall guide model, and deploying the lightweight cultural relic exhibition hall guide model to each terminal of a cultural relic exhibition hall. A tourist guide decision is generated based on the light-weight cultural relic exhibition hall guide model, virtual-real fusion guide is performed on the cultural relic exhibition hall based on the tourist guide decision, a guide result is obtained, and the light-weight cultural relic exhibition hall guide model is optimized and adjusted according to the guide result. And a cultural relic exhibition hall guide decision giving consideration to cultural relic safety protection and visit experience of the tourists is provided for the tourists.

The invention discloses a method and a device for determining queuing waiting time of a user, and relates to the field of financial science and technology. The method comprises the following steps: under the condition of user authorization, obtaining to-be-handled service types and age information of N queued users; according to the to-be-handled service type of the user, detecting whether the user has handled a historical service corresponding to the to-be-handled service type; when the business has been handled, determining a predicted business handling duration according to the duration of handling the historical business; when the to-be-handled business is not handled, determining a predicted business handling time length according to a preset handling time length and age information corresponding to the to-be-handled business type; and determining the queuing waiting time of the jth user according to the predicted business handling time of all queuing users before the jth user. According to the method and the device, the technical problems of influence on user service experience and low user service processing efficiency caused by excessive queuing personnel due to difficulty in judging queuing time length by a user because only a queuing serial number is provided during financial institution network service in the prior art are solved.

The invention discloses a smart scenic spot panoramic management and control system based on AI digital human interaction, and belongs to the field of scenic spot management and control. A smart scenic spot panoramic management and control system based on AI digital person interaction comprises an AI digital person and an intelligent management system. The AI digital person performs data interaction and linkage through the intelligent management system; the AI digital human comprises an AI digital human interaction and holographic display module; the intelligent management system comprises a central control module, an AI digital human interaction and holographic display module, a holographic digital twinning and three-dimensional dynamic modeling module, a data acquisition module, a data processing and fusion module, a prediction and decision optimization module, an equipment linkage control module and a cloud edge collaboration and adaptive optimization module. Data interaction and linkage control among the modules are realized through a data bus or a wireless network; through the arrangement, interaction and display with tourists and managers can be realized through the AI digital human.

A medical queuing and calling method, system and device and a storage medium, the method comprising: acquiring preliminary diagnosis queue information and diagnosis and treatment data of a back-diagnosed patient, the back-diagnosed patient being a patient who submits a back-diagnosed request within a preset time after preliminary diagnosis; in response to the callback request, calculating a diagnosis priority score of a callback patient according to the diagnosis and treatment data; according to the preliminary diagnosis queue information, the diagnosis and treatment data and the diagnosis priority score, constructing a graph model of patients, wherein the patients comprise back-diagnosis patients and all preliminary diagnosis patients in a preliminary diagnosis queue; based on the graph model, determining an insertion point of each callback patient in the preliminary diagnosis queue; and according to the insertion point corresponding to each callback patient, inserting each callback patient into the preliminary diagnosis queue, and generating a waiting queue comprising the preliminary diagnosis patients and the callback patients. According to the invention, the treatment efficiency of the patient can be improved.

An example operation includes one or more of assigning a time slot to a vehicle for a charging operation at a charging station, where the time slot includes a starting point in time and an end point in time, transmitting a notification to the vehicle which includes an identifier of the charging station and the starting point in time, iteratively capturing sensor data at the charging station, determining whether the charging operation started on time based on the starting point in time and the sensor data, and in response to a determination that the charging operation started on time, delivering content to the vehicle while the charging operation is being performed.

The invention relates to the technical field of data analysis, in particular to a disease consultation system based on big data. The system comprises a consultation request health data acquisition module, a disease health association map construction module, a consultation disease department navigation analysis module and a user disease consultation application agreement module. The method comprises the following steps: acquiring a user consultation request of a disease patient, and acquiring corresponding personal disease health data, patient historical health data and public medical health data; performing user current health state association analysis and disease health association map construction on the personal disease health data to generate a consultation patient user personal disease health association map, and performing consultation disease department navigation analysis and disease consultation application at the same time; and acquiring patient consultation queuing data and online inquiry active data to perform re-queuing consultation application and disease consultation processing so as to complete a disease consultation result of a corresponding consultation patient user. According to the invention, the efficiency and accuracy of disease consultation service can be significantly improved.

The invention relates to the technical field of intelligent tourism services, and particularly discloses an AI tourism personalized explanation system and service system.The personalized explanation system comprises a positioning module used for obtaining user position information; the audio acquisition module is used for acquiring environmental noise data; the attribute acquisition module is used for acquiring user attribute data; the intelligent explanation module is used for determining explanation content based on the user position information; determining a reference speed and a reference volume based on the user attribute data; respectively compensating the reference speed and the reference volume based on the environmental noise data to generate an explanation speed and an explanation volume; and explaining the explaining content based on the explaining speed and the explaining volume. According to the method, the real-time position information of the user, the environment noise data and the attribute characteristics of the user are integrated, the interpretation content is dynamically matched, the speech speed and the volume are adaptively adjusted, and the interpretation effect and the user experience are improved.

An example operation includes one or more of receiving an input from a display device associated with a vehicle, wherein the input comprises a request to view content on the display device, determining content-consuming attributes of a user of the display device, based on content that has been consumed by the user on the display device, determining that a different user of a different vehicle has content-consuming attributes within a threshold of the user based on content that has been consumed by the different user on a different display device associated with the different vehicle, and outputting a content-sharing session to the display device associated with the vehicle and the different display device associated with the different vehicle.

The invention discloses a fitness equipment reservation method and system based on differential intelligent scheduling, and the method allows a user to submit an equipment identifier or an equipment identifier list, including a training plan of one or more times of training in a future period of time and a preliminary reservation time period; and after the server receives the reservation request, differentiated scheduling is executed according to the fact that the reservation time period is a golden time period or a non-golden time period, equipment slot positions are intelligently distributed to a batch of reservation requests in the golden time period in a timing or quantitative mode, and the user satisfaction degree is considered in the distribution process. The fitness waiting time of the user can be shortened, and the user satisfaction and the equipment utilization rate are improved; according to the intelligent scheduling algorithm provided by the invention, user requests are regarded as a whole, the algorithm efficiency is improved, and intelligent scheduling distribution of multiple users and multiple devices is realized.

The invention discloses a scheduling-based outpatient service time period distribution method and system. Relates to the technical field of medical management. The invention provides a scheduling-based outpatient service time period allocation method and system, computer device equipment and a program product specially aiming at the low use efficiency of hospital resources, the method is improved on the basis of the existing hospital information system connection, the waiting data of each medical institution is monitored through an Internet of Things terminal, demand prediction is combined, and the service life of the medical institution is prolonged. According to the method, the scheduling and the doctor seeing time period of doctors are adjusted, the use efficiency of hospital resources is dynamically optimized, the patients are shunted, the appropriate doctor seeing time period is recommended, outpatient service management is achieved, the problems of registration gathering and queuing are solved, and the medical service efficiency and the patient experience are improved.

The invention provides an outer container truck queuing management and control method suitable for a container terminal provided with an interaction area. The method comprises the steps that rule parameters needing to be verified when an outer container truck passes through a third-level gate are set; performing gate entering abnormity verification on the outer container truck passing through the third-level gate; performing interaction area current limiting verification; after current limiting is finished, outer container truck box searching and position distribution verification is conducted by combining the entrusting information and the current interaction area instruction number condition, and if the storage yard instruction number or the operation unit instruction number exceeds the limited number, the outer container truck is limited to enter the interaction area; after box finding and position distribution are successful, whether a box door adjusting instruction is generated or not is judged according to a set box door adjusting rule, and box door adjusting operation is completed before entering an interaction area in advance through box door adjusting verification; and after box door adjustment is completed, the outer container truck instruction is changed into a state of waiting to enter the interaction area, and an outer container truck driver is notified to enter a third-stage gate of the third-stage gates. The invention further provides a computer medium applied to the method. The occurrence rate of the jamming condition of container trucks inside and outside the container terminal interaction area is reduced.

The invention relates to the technical field of medical information systems, and discloses a cross-platform medical registration interaction method based on an AI intelligent agent and multi-modal identification, which is applied to the AI intelligent agent deployed in an intranet server, and comprises the following steps: accessing a message queue built on a front-end processor through an intranet, and obtaining registration request data sent by an online registration system; identifying a login interface of the HIS terminal installed in the same intranet server, simulating manual operation to input a pre-configured login account and password into a corresponding input box, and clicking a login button to complete login; finding a registration information page, and simulating manual operation to input registration request data into a corresponding input box or a selection box; identifying the registration confirmation interface, and simulating manual operation to complete registration; and the registration result information is analyzed from the registration result display interface, sent back to the message queue and fed back to the online registration system by the message queue. According to the method, the universality and the universality of the online registration system are enhanced.

The invention discloses an unmanned aerial vehicle urban management scene patrol inspection system and method based on geographic information, and the system comprises an event processing module, a task management module, a route planning module, an unmanned aerial vehicle flying module and a three-dimensional modeling module, and achieves the intelligent planning of an unmanned aerial vehicle urban management patrol inspection task in combination with the geographic information. Through fusion of urban management inspection business process, task multi-mode issuing, route self-defined planning of a three-dimensional map and task scene management, high fusion of unmanned aerial vehicle operation and business management is realized, a whole-process closed loop is formed, the unmanned aerial vehicle is ensured to complete tasks in an optimal state in different scenes, and the working efficiency of the unmanned aerial vehicle is improved. And the flexibility and adaptability of task issuing are greatly enhanced. Through the spatial geographic information of the three-dimensional map, the attitude perception capability of obstacles in route planning is enhanced, the flight risk is reduced, the safety risk in the flight process of the unmanned aerial vehicle is greatly reduced, and the patrol inspection effect can be further optimized.

The invention provides a schedulable EV charging priority ranking system based on user portraits, which is used for providing a decision basis for ordered charging priority distribution scheduling of charging piles, and is characterized by comprising the following steps: firstly, collecting historical charging data of EV charging users and selecting multi-dimensional indexes such as schedulable potential and risk; constructing an initial matrix through data cleaning and standardization; secondly, the weight of each index is objectively calculated by adopting a CRITIC method, the relative distance between each user and a boundary region is calculated by adopting an MABAC method, a response potential index is generated, and crossing from group coarse-grained description to individual accurate portraits is realized; according to the method, a priority scheduling list can be formed, high-score users are scheduled preferentially in the peak period of the power grid, and the charging scheduling efficiency and the accuracy of power grid resource allocation are improved.

An example operation includes one or more of determining, via a server, an energy transfer rate at a charging point, and providing content, via the server, to a vehicle at the charging point when the energy transfer rate is below a threshold.

The invention relates to an intelligent guiding method and device, a storage medium and electronic equipment, and relates to the technical field of guiding service, and the method comprises the steps: obtaining a target doctor-seeing time period selected when a target doctor-seeing user makes an appointment for registration when the target doctor-seeing user arrives at a hospital; according to the crowd type of the target doctor-seeing user and the target doctor-seeing time period, determining an in-hospital suitable navigation path corresponding to the target doctor-seeing user and sending the in-hospital suitable navigation path to a terminal of the target doctor-seeing user; when the target doctor-seeing user arrives at the target doctor-seeing department based on the in-hospital suitable navigation path, determining a suitable waiting area corresponding to the target doctor-seeing user from waiting areas of the target doctor-seeing department according to the crowd type; and sending a sign-in and number taking prompt to the terminal, and sending a number calling prompt of a consulting room of a target doctor to the terminal when the target doctor successfully signs in and takes a number. The method and the device have the effect of improving the experience of the user seeing a doctor in the hospital.

The invention discloses an intelligent medical outpatient queuing and calling management system based on a wireless local area network, relates to the technical field of medical internet of things, and realizes intelligent management of sign-in, positioning and calling of patients through the wireless local area network. The system comprises three modules: a sign-in positioning module which is connected with a patient terminal device through a wireless local area network, records a sign-in timestamp and positions a patient in real time; the effective waiting statistics module judges whether the patient is in an effective waiting position according to the signal intensity and calculates the total duration of an effective time period; the intelligent number calling module calculates a dynamic priority score in combination with the sign-in sequence and the effective waiting duration, and executes a number calling decision in combination with the consulting room state; and if the patient is in the off-zone state, the system delays number calling and sends a prompting notification until the patient returns to the waiting zone.

The invention provides a scenic spot navigation method, system and device based on location services and a medium, and belongs to the technical field of scenic spot navigation, the method comprises the following steps: developing a scenic spot navigation light application based on a host application, and presetting location data of each scenic spot and a dynamic distance trigger threshold configuration rule for judging the location of a user; starting a scenic spot navigation light application, and obtaining a user position and a current positioning precision parameter through a real-time position interface of a host application; executing a dynamic distance trigger threshold configuration rule, and dynamically calculating a distance trigger threshold of each scenic spot according to the scenic spot distribution density and the current positioning precision parameter; when the distance between the position of the user and a certain scenic spot is smaller than the corresponding distance triggering threshold value, staying timing is started, and corresponding voice explanation is triggered after the duration condition is met. The intelligent level and the user experience of the scenic area guide system are improved by dynamically adjusting the trigger threshold value and comprehensively considering the judgment of multi-dimensional factors such as the positioning precision, the scenic spot distribution density and the residence time.

Multimodal transport management procedure, comprehensive: Processing a transport request for a passenger, wherein the transport request identifies a starting point for the passenger, a destination for the passenger, and travel time information; and Identifying a multimodal timetable that meets the requirements of the transport request, wherein the multimodal timetable includes at least one vehicle segment and at least one additional segment; Monitoring the passenger's journey after the start of the multimodal timetable, for which current status or timetable information for a current segment of the multimodal timetable is obtained; characterized by Estimating a passenger arrival time at the departure point of an upcoming vehicle segment based on the received current status or timetable information; and controlling the dispatch time of an autonomous vehicle (10) according to the multimodal timetable and in response to the monitored journey of the passenger, in order to synchronize the arrival of the autonomous vehicle (10) with the arrival of the passenger at the departure point of the upcoming vehicle segment of the multimodal timetable.

The invention relates to a method for ensuring a refueling process of a vehicle (1) powered by an internal combustion engine at a trusted fuel supply device (4). The vehicle (1) comprises a first communication device (10), and the fuel supply device (4) comprises a second communication device (11) that can communicate with the first communication device (10). The fuel supply device (4) has a communication connection to a network, via which a connection to a data processing device (6, 23) can be established. Before the refueling process begins, a method is executed that comprises the following steps: ▪ Transmission of a first data packet from the vehicle (1) to the fuel supply device (4), ▪ Forwarding part or all of the first data packet from the fuel supply device (4) to the network (5), ▪ Processing the data packet received from the fuel supply device (4) via the network (5) in the data processing device (6, 23), ▪ Returning the data packet processed in the data processing device (6, 23) via the network (5) to the fuel supply device (4), ▪ Returning the data packet received by the data processing device (6, 23) from the fuel supply device (4) to the vehicle (1). ▪ Approval of the refueling process.