17results about How to "Reduce queuing time" patented technology

The invention discloses an electric vehicle charging scheduling method based on an improved optimization algorithm and a terminal. The method comprises the steps that a user side terminal system needs to judge whether a user sends a charging request or not according to the state of charge of an electric vehicle battery, if yes, a data acquisition unit obtains the daily charging demand, position information, power distribution network operation conditions, regional charging station information and related data information of a regional traffic network of the electric vehicle, and if not, the user side terminal system sends the charging request; if yes, returning to the previous step for cyclic judgment; the data processing and algorithm calculation unit establishes an optimization model with the minimum power grid load fluctuation and the minimum economic time cost of user charging as targets, inputs the obtained data into the model, and solves a target function by adopting a non-dominated sorting whale optimization algorithm with an elitist strategy; the optimal charging scheme of the electric vehicle is obtained; and the transmission and application unit sends charging scheme suggestions to users, so that ordered charging scheduling of the electric vehicles in the region is realized.

The embodiment of the invention provides a flow management method, device and system and a storage medium. In the embodiment of the invention, the bandwidth flow control is firstly carried out on the service process based on the throughput threshold of the service process, so that the network flow sent by the service process does not exceed the throughput threshold of the service process, and the flow control is carried out at the home terminal, so that the flow sent by the home terminal does not occupy all resources of the home terminal; and thus, the traffic of the home terminal can be prevented from occupying all resources of the opposite terminal. Afterwards, for a plurality of second requests read in unit time, the plurality of second requests are sent to the destination end in batches according to the scheduling priorities and / or delay sensitivities of the plurality of second requests, and the requests with high scheduling priorities and / or delay sensitivities can be preferentially sent to the destination end, so that the requests with high scheduling priorities and / or delay sensitivities can be preferentially sent to the destination end. The queuing time of the requests with the high scheduling priority and / or the high delay sensitivity is shortened, the processing efficiency of the requests with the high scheduling priority and / or the high delay sensitivity is preferentially guaranteed, and the service quality can be improved.

The invention relates to the field of smart campuses, and discloses a smart campus big data management platform, which comprises an intelligent teaching management system established based on a Spring framework, a campus intelligent security system and a campus life service system, and is characterized in that the intelligent teaching management system comprises a course management module, a teaching interaction module and a learning analysis module; the campus intelligent security and protection system is divided into a video monitoring module, an access control management module and an alarm early warning module, and the campus life service system is divided into an intelligent catering module, an intelligent dormitory management module and a campus navigation module. Through intelligent teaching management, campus intelligent security and protection and a campus life service system, teaching resource distribution is optimized, teaching interactivity is enhanced, teaching effects and student learning experience are improved, campus safety conditions are monitored in real time, abnormal conditions are quickly responded, safety risks are reduced, safety of teachers and students is guaranteed, and convenient catering, dormitory management and campus navigation services are provided. The convenience and efficiency of campus life are improved, and the satisfaction degree of teachers and students is improved.

The invention provides a passenger customs clearance checking method, system and device, and the method comprises the steps: arranging a face recognition device and a sensor in a customs clearance region, capturing the target facial features of a passenger in real time, and collecting the position information of the passenger; comparing the target facial features with identity information pre-stored in a background database; analyzing the position information to obtain a moving track and staying time of the passenger, and continuously evaluating whether an abnormal behavior exists or not; when the identity information comparison result and the abnormal behavior are judged to be qualified, a risk assessment program is not triggered, and the passenger is automatically guided to a customs clearance; and when any one of the identity information comparison result and the abnormal behavior is judged to be unqualified, triggering a risk assessment program. The system comprises a feature extraction module, a behavior evaluation module and a risk evaluation module. The device comprises a camera, a sensor, a background database, a controller, a power supply and a display device. According to the invention, a more intelligent, automatic and safe customs clearance system is established.

The invention belongs to the technical field of data processing, and particularly discloses a real-time stowage scheduling method and device based on passenger roll cabin continuous space simulation, and the method comprises the steps: obtaining the ship name of a stowage ship, the lane line length of the ship and the quota stowage weight, and determining the vehicle-mounted configuration weight corresponding to each stowage condition queue; determining that the current vehicle arrives at a ship gate, and determining vehicle specification information and weight information based on the license plate number; updating a stowage condition queue according to the parking position of the current vehicle, and generating a stowage scheme of a next to-be-stowage vehicle under a preset limiting condition; updating the real-time stowage data based on the stowage data correction factor to obtain an updated stowage condition queue to be displayed to a dispatcher; and circularly generating a real-time stowage scheme of each vehicle based on the updated stowage condition queue until the ship loading of the vehicle is completed or the ship warehouse capacity is fully loaded. According to the invention, the ship stowage efficiency can be improved, and the balance between the stowage efficiency and earnings can be realized.

The invention discloses an intelligent heat preservation cabinet system with an ordering function, and relates to the technical field of catering. The intelligent heat preservation cabinet system comprises an ordering system, a food taking system, a cleaning system and a server, the food taking system comprises an intelligent heat preservation cabinet, the intelligent heat preservation cabinet comprises a plurality of heat preservation boxes, each heat preservation box comprises a sealing cover and a box body hinged to the sealing cover, and a containing frame used for containing dishes is arranged in each box body; a cleaning assembly, a disinfecting assembly and a drying assembly are arranged above the placing frame, a heat preservation assembly is arranged below the placing frame, and a control device is arranged outside the box body. According to the intelligent heat preservation cabinet system with the ordering function, online ordering is achieved, the queuing time is shortened, the meal delivery efficiency is improved, meanwhile, the intelligent heat preservation cabinet can preserve heat of food, the problem that meals are prone to being cold in winter is solved, in addition, the meals can be prepared in a canteen according to the popularity degree of the meals, and the service life of the meals is prolonged. The economic benefit is improved while the food waste is reduced.

The quality of service guaranteed function-free computing system comprises an HTTP gateway, a scheduler and a work pool; the HTTP gateway serializes the incoming DAG request through a serializer, and sequentially adds the serialized function-free function in the DAG request to a waiting queue; the scheduler retrieves the function-free function from the waiting queue and the chain running queue to the work pool for processing according to a scheduling strategy. The quality of service guaranteed function-free system and method of the application process the incoming request through the producer-consumer mode by reforming the scheduler in the platform. In addition, a strategy framework containing rich strategies is added. Different kinds of strategies are set for different kinds of application requests, so that the queuing time is reduced to a certain extent, and the running performance is improved.

This invention discloses a cloud platform computing power resource allocation system and method based on load balancing, relating to the field of computing power resource allocation technology. The application includes: constructing a computing power supply and demand matching platform, connecting with idle computing power resource providers, and receiving computing power requests from computing power resource lessors; based on the computing power requests from the lessors, determining the cluster time, and allocating idle computing power resources to the lessors in the cluster; the lessors setting up key communication, and after key verification, the system accessing the cloud platform of the allocated lessor, achieving intelligent decision-making and optimizing the scheduling of allocated idle computing power resources in the cloud platform. This invention can maximize overall resource utilization, reduce operating costs, minimize task execution latency, and improve user experience. Simultaneously, dynamic allocation based on computing power sharing and cluster processing according to different time nodes improves the overall utilization efficiency of computing power resources.

The invention discloses a cross-data center RDMA network congestion control method and device based on in-band telemetering, and belongs to the technical field of network transmission control. The method comprises the following steps: sending a first cross-data center flow to an upstream DCI switch at an initial rate; according to a Switch-INT message returned by an upstream DCI switch, a first fair rate is calculated, a second cross-data center flow is sent to the upstream DCI switch at the first fair rate, an ACK message of a downstream data center responding to the first cross-data center flow is obtained, and the ACK message comprises a suggested rate; and generating a final rate in combination with the first fair rate and the suggested rate, and sending a third cross-data center flow to an upstream DCI switch at the final rate. According to the method, the network sensing capability of the cross-data center flow can be improved, the fairness of the flow in the data center and the cross-data center flow is improved, and the transmission delay of the datagram is optimized.

The present application discloses a congestion control method, an electronic device and a readable storage medium. Each time the sending end device receives an ACK packet, it determines a new sending rate, and determines the amount of data to be sent in a new round of sending according to the sending rate and the time interval between two adjacent rounds of sending. Afterwards, when the current time reaches the second moment, the data packets are sent at a uniform speed according to the sending rate and the amount of data, so that the sending of these data packets can be sent smoothly. With this solution, there is no need for the sending end device to support a high-precision timer, but only to support a millisecond-level timer to ensure the smooth sending of the data packet, thereby reducing the cost of the sending device to support smooth sending. Moreover, compared with burst sending, it can reduce network jitter and packet loss, and can reduce the queuing time of the data packet. In addition, there is no need for the electronic device to process high-precision timing tasks, which is conducive to reducing the power consumption of the electronic device and improving the endurance of the electronic device.

The application discloses a kind of double host electronic glasses and its image acquisition, processing and display method, belong to image processing technical field, a kind of double host electronic glasses, including: glasses frame, monocular vst perspective unit and the power supply unit compatible with monocular vst perspective unit, the monocular vst perspective unit is equipped with two groups, and two groups monocular vst perspective unit respectively independently handles the image of left and right eyes, the monocular vst perspective unit includes, display component, the display component includes optical module and micro display screen;Sampling component, the sampling component includes corresponding camera module with display component;Soc host unit, the Soc host unit undertakes corresponding monocular image processing task;Realize the frame level synchronous display and the relatively synchronous display of degradable under the premise of not forwarding image data of double eyes, to ensure that electronic glasses can still maintain at least single eye real-time picture output under abnormal condition, high-speed data link is equipped between the Soc host unit.

The invention relates to the technical field of intelligent traffic vehicle control, in particular to a fuel economy and delay joint optimization method in a vehicle starting stage. According to the method, based on a current vehicle starting scene, a multi-objective optimization function of a vehicle starting stage of a fuel consumption and delay model is constructed, and the multi-objective optimization function of the vehicle starting stage is set and comprises a fuel consumption minimization objective function and a delay minimization objective function; carrying out normalization on the multi-objective optimization function; setting constraint conditions of target optimization according to the vehicle starting scene; and solving the fuel consumption and delay model based on the constraint condition of the fuel consumption and delay model of the current vehicle starting scene to obtain the optimal acceleration of the vehicle at different moments in the vehicle starting stage. The invention focuses on a starting stage which has obvious influence on the fuel economy and the delay of the vehicle, and researches a method for realizing dual improvement of the fuel economy and the starting delay in the process, so that the control effect of the vehicle starting is improved.

The invention discloses a scenic spot passenger flow monitoring system and method based on multi-source data fusion, and relates to the technical field of scenic spot management, a scenic spot is divided into a ticket buying admission area and a free passage area, ticket checking gates and sensors are deployed in the two types of areas respectively, tourist data are collected in real time, and the real-time tourist number and density of each area are calculated. The system judges the density grade of each area according to a preset grading threshold value, and dynamically adjusts a management and control strategy according to the density grade change: for a ticket buying admission area, grading management and control are implemented by controlling the start and stop of an entrance gate and combining a queuing people number threshold value; and aiming at the free passing area, guiding tourists to orderly flow from the high-density area to the low-density area by generating an evacuation guiding instruction. According to the system, refined and dynamic management of the passenger flow in the scenic area is realized, and the comfort of tourists and the operation safety of the scenic area are improved.

The invention relates to the technical field of self-service refueling control, and discloses a self-service refueling control system and method based on artificial intelligence, comprising: obtaining refueling information and position information of a target vehicle, forming oil volume analysis data, forming refueling analysis data, forming a settlement amount, and charging the owner of the target vehicle. The self-service refueling control system and method based on artificial intelligence judge whether the owner has self-service refueling experience according to the refueling information of the target vehicle, thereby guiding the target vehicle to a suitable gas station, determining the queuing time according to the refueling information of the vehicle at each gas station, and guiding inexperienced car owners to refuel at gas stations with more inexperienced car owners as much as possible, so that experienced car owners can reduce the queuing time, and at the same time prevent inexperienced car owners from feeling anxious when urged by the following vehicles, so that they can learn the self-service refueling process with a calm mind, thereby improving the refueling efficiency of the gas station and enhancing the refueling experience of users.

The invention relates to the technical field of artificial intelligence and computer vision, and provides an AI visual detection method and system for liquid water carried by people during passing, and the method comprises the steps: constructing an AI visual detection model based on a convolutional neural network; acquiring a target image of personnel passing in real time and performing image preprocessing; inputting the target image into a trained AI visual detection model, and extracting visual features of a person carrying object through a feature extractor; and the classifier performs matching according to the visual features and a feature database established during pre-training to judge whether the articles carried by the personnel in the target image are liquid water or not, and when the classification result is liquid water, an alarm is automatically triggered. By realizing real-time and automatic liquid detection, the detection efficiency is improved, the cost depending on manpower and expensive equipment is reduced, the risk of false alarm and omission is reduced, various detection environments are flexibly coped with, an economical and efficient solution is provided, and the method is suitable for being applied to public places needing rapid mass people stream processing and strict safety inspection.

The present application provides a battery swap scheduling method and device for multiple vehicles and multiple stations. The method provided by the present application is applied to a server, and the method includes: for each vehicle in the scheduling domain, screening out the reachable stations of the vehicle from the various stations in the scheduling domain; for each reachable station of each first-class vehicle, determining the battery that the reachable station can provide for the first-class vehicle, and determining a list consisting of the identifiers and preset identifiers of the batteries that can be provided for the first-class vehicle in all reachable stations of the first-class vehicle as the list of available batteries for the first-class vehicle; based on a genetic algorithm, constructing a target optimization problem with the goal of maximizing global fitness; using a genetic algorithm to solve the optimal solution of the target optimization problem, and recommending a battery swap for each first-class vehicle based on the optimal solution. The battery swap scheduling method and device for multiple vehicles and multiple stations provided by the present application can realize efficient and accurate battery swap scheduling, and ensure the operating efficiency of electric vehicles in various scenarios.

The application discloses an automatic vending system based on a pressure sensor, and relates to the technical field of Internet of Things.The application comprises the following steps: deploying a flexible pressure sensor array on a shelf and connecting a control unit; the control unit identifies the taking and placing actions of goods based on the changes of the flexible pressure sensor array; the control unit identifies the names, quantities and taking and placing time of the goods through a dynamic pressure distribution mapping technology; the control unit automatically calculates the total price of the goods according to the identification results of the goods; the control unit updates the inventory record after a customer confirms and completes payment; the control unit predicts the replenishment demand based on historical sales data and automatically generates a replenishment list; the application utilizes the flexible pressure sensor array and advanced data analysis technology to realize accurate identification and automatic vending management of goods, significantly improves the shopping experience of customers, optimizes inventory control, effectively reduces operating costs and promotes the transformation and upgrading of the retail industry towards intelligence and unmanned direction.