106results about How to "Realize intelligent scheduling" patented technology

The invention provides a method for counting passenger flow of buses in real time, which adopts means of machine learning, multi-target detection and tracking, target behavior analysis and the like, and belongs to the technical field of pattern recognition. The method comprises the following concrete steps: detecting passenger targets by analyzing shape information and texture information of passenger heads in video images, wherein a column diagram in a gradient direction is used for representing the shape information, and a column diagram in a local binary mode is used for representing the texture information; then, accurately positioning passengers by adopting the target tracking policy combining gray level cross-correlation matching tracking and mean translation algorithm searching tracking; and finally, judging the behavior characteristics of the passengers by analyzing the moving tracks of the passengers, thereby accurately counting the passenger flow of buses. The practice shows that the method provided by the invention can provide an accurate and reliable basis for realizing intelligent scheduling of buses for bus companies, analyzing the acceptability of mobile media advertisements in buses, and the like, and the invention has very high practical value.

The invention discloses an improved fuzzy neural network bus intelligent scheduling method based on a chaos theory, and belongs to the field of intelligent transportation. According to the improved particle swarm bus intelligent scheduling method based on the chaos theory, advantages and complementarity of various algorithms are fully utilized, a series of improvement measures are also introduced, such as conjugate gradient optimization, and inertia factor and constraint factor of the particle swarm algorithm etc., the mechanism and the search performance are researched from the theoretical and practical perspectives, problems of poor global search capability and premature convergence of the conventional optimization algorithm are fundamentally solved, the diversity of population can be obviously increased, the global search capability is obviously improved, the problem of fuzzy information can be effectively dealt with, the convergence speed is fast, and a new high-efficiency method is provided for bus intelligent scheduling.

The invention provides a real-time bus passenger flow volume statistical method based on a target prior distribution, which adopts the methods of target detection, target tracking, target behavioral analysis and the like, and belongs to the technical field of pattern recognition. The method concretely comprises the following steps: utilizing the target prior grayscale to do statistics of the back-projection operation of a histogram on an input video image, and then performing the treatment of difference, binaryzation, wave filtering, connected domain marking and the like on a back-projection image to realize the target detection; adopting the grayscale to interrelate, match and track and a mean translation algorithm to search and track so as to realize the accurate positioning of the target; and finally analyzing the motion trail of the target to judge the get on or off of passengers, and realizing the passenger flow volume statistics. The invention can provide fine-grained reliable basis for a public transit company to realize intelligent dispatching of buses, audience analysis of the mobile media advertising of the busses and the like.

The invention discloses an automatic vehicle carrying and transferring method and system. The automatic vehicle carrying and transferring method comprises the following steps that the interactive relation is established with a user; the parking request of the user is obtained, and a loading and transporting device for loading and transporting a vehicle of the user is dispatched to the parking position of the user; the loading and transporting device automatically loads and transports the vehicle of the user to be parked on a designated parking position; the pick-up request of the user is obtained, and the loading and transporting device for loading and transporting the vehicle of the user is dispatched to the designated parking position; and the loading and transporting device automatically loads and transports the vehicle of the user to be parked on a designated pick-up position. The automatic vehicle carrying and transferring system comprises the loading and transporting device, a multiple loading and transporting device task scheduling system, a loading and transporting device vehicle-mounted automatic navigation hardware platform and software system, a vehicle transferring station system and a man-machine interaction subsystem, wherein the loading and transporting device is a parking robot. The comfort of vehicle parking and picking-up of the user is improved, the operationefficiency is improved, the space utilization rate is increased, the construction cost is lowered, and complicated and tedious operation and maintenance are relatively avoided.

The invention relates to an intelligent household microgrid system based on a technology of internet of things. The intelligent household microgrid system includes an energy system and a control platform thereof. The energy system includes a photovoltaic cell, a chopper module, an energy storage device, a rectifying module and a PCC (point of common connection) switch. The control platform includes a CPU, a storage module, a ZigBee wireless networking device (full-function ZigBee (FFD) main coordinator, a local ZigBee universal remote controller, and a reduced-function (RFD) ZigBee terminal node) and a peripheral interface. The control platform of the intelligent household microgrid system also includes a cloud computation background service system in the broad sense. The intelligent household microgrid combines intelligent grid, microgrid and internet of things technologies and one of great characteristics of the intelligent household microgrid is that a ZigBee wireless technology is introduced to the household microgrid so that the system is capable of networking flexibly. The intelligent household microgrid system is combined with a peak-valley electrovalency system to realize functions such as reliable power supplying through combination of self generation and grid power, intelligent scheduling of distributed photovoltaic power generation, intelligent charging and discharging of the storage device under different states, power bidirectional flowing between the system and the grid, real-time visualization of electricity quantity information and automatic switching of grid connection and grid isolation and the like.

The present invention provides a pedestrian intention detection method and system. The method comprises: A1, arranging a distance senor to collect target form data in an observation area; A2, based on the current state information of a target, obtaining the track information of the target; and A3, aiming at the mobile track and the space information of each target, determining the action intention of the target. The present invention provides a method for track tracking of a walking target and perform predetermination of the action intention which can be applied for control of an intelligent traffic light.

Embodiments of the present invention provide a leased object scheduling method and system, which belong to the field of sharing technology. The scheduling method of the leased object includes: determining the remaining amount of the leased object in the target area; obtaining the use environment parameters of the leased object in the target area; determining the target area based on the prediction model and the use environment parameters For the demand quantity of the leased object; and according to the reserved quantity and the demand quantity, determine the quantity of the leased object to be dispatched to the target area. As a result, it is possible to realize real-time prediction of the car shortage of leased items to be dispatched to the target area based on the model, eliminating individual differences and errors caused by relying on human estimation and prediction, and realizing intelligent scheduling of leased items, ensuring Maximize the utilization rate of the leased property.

The invention discloses an engineering vehicle intelligent control system based on Internet of Things. The system comprises a vehicle terminal module and a vehicle remote monitoring center module, the vehicle terminal module comprises a controller, a GPS positioning unit, an electronic lock unit, a weighing unit and a first communication unit, the vehicle remote monitoring center module comprises a second communication unit, a control unit, a display alarm unit, a scheduling unit, a vehicle information query unit, a historical track playback unit, and a statistics analysis unit, and the first communication unit communicates with the second communication unit in a wireless manner. The controller determines the location of an engineering vehicle according to GPS real-time positioning information, when the engineering vehicle leaves a building site, the electronic lock unit is controlled to be locked, and when the engineering vehicle arrives at a dealing and accommodating field, the electronic lock unit is controlled to be unlocked; and when the engineering vehicle drives to the dealing and accommodating field from the building site and the electronic lock unit is unlocked, alarm information is sent to the control unit. According to the system, illegal behaviors such as throwing, spreading, leakage and drop of muck and slurry in a transportation process of the engineering vehicle are effectively contained.

The invention discloses a driverless vehicle, and a dispatching method and dispatching system thereof. The vehicle has a specified course and departs at a starting point at a predetermined interval, the course having the starting point and a terminal point. The method includes the following steps: receiving reservation information, including an object starting point and an object terminal point, from passengers; judging whether there is a vehicle that is running between the starting point and the object starting point; if there is a vehicle that is running between the starting point and the object starting point, giving feedback of the real-time position of the running vehicle to the passengers; if there is no vehicle that is running between the starting point and the object starting point, recording the passengers and the reservation information; counting the number of the passengers that make reservations within a predetermined period of time; judging whether the number of the passengers is greater than or equal to a predetermined value; if the number of the passengers is greater than or equal to the predetermined value, making vehicles depart from the starting point; and if thenumber of the passengers is smaller than the predetermined value, vehicles depart still at the starting point at the predetermined interval time. Orderly vehicle dispatching can be realized, resourcewaste can be avoided, and vehicle using demands of passengers can be satisfied.

The invention relates to a cycle logistics packaging operation management method based on an RFID electronic tag. The method is characterized by comprising the following steps: building an asset coding system, wherein a barcode in the asset coding system comprises independent information and shared information of a logistics package and carried goods; writing the barcode into the EPC (Electronic Product Code) area of the RFID electronic tag through data reading-writing equipment; installing the RFID electronic tag on the logistics package; installing corresponding data acquiring equipment in the asset transferring link of logistics transportation; acquiring data of the RFID electronic tag by the data acquiring equipment; transmitting the acquired data to a logistics package management platform through a wireless signal by the data acquiring equipment; performing data analyzing and processing by the logistics package management platform. According to the asset coding system based on the RFID electronic tag, an operation management platform is used for acquiring data intelligently and performing data analyzing and processing, so that tracking, real-time monitoring, intelligent scheduling, assistant decision making and business intelligence of movable assets are realized.

The invention provides a resource processing method and device, a computer readable storage medium and a mobile terminal. The resource processing method comprises the steps that CPU occupancy rates corresponding to all processes operated in the operating system of the mobile terminal are collected; based on the CPU occupancy rates, the corresponding CPU occupancy grade is acquired; when the CPU occupancy grade changes, CPU resources are allocated by means of a corresponding dispatch strategy to process a background application. According to the resource processing method, when the CPU occupancy grade changes, the CPU resources are allocated by means of the corresponding dispatch strategy to process the background application, so that intelligent dispatch of the background application is achieved, the problems that resources obtained by a foreground application are few as the background application occupies the CPU resources in advance, and thus jamming occurs due to delayed execution of the foreground application are avoided, and the fluency of the operating system and user experience are improved.

The invention discloses a vehicle dispatching management method, comprising the following steps: based on the cloud platform, the administrator mobile terminal obtains the current number of queued vehicles in a vehicle storage pool and a passenger waiting area; the administrator mobile terminal initiates a vehicle scheduling request to the cloud platform based on the current number of queued vehicles and taxi demand in the reception waiting area. The cloud platform receives the vehicle scheduling request, and sends a corresponding vehicle scheduling instruction to the vehicle access managementdevice of the storage pool based on the vehicle scheduling request, so that the vehicle access management device of the storage pool releases the corresponding vehicle. The invention also discloses avehicle dispatching management device and a computer-readable storage medium. The invention realizes intelligent dispatching of vehicles.

The invention discloses an intelligent loading and transport system for a coal yard. The intelligent loading and transport system comprises an unattended weighing system, a vehicle-mounted integrated terminal and a data center server; the unattended weighing system is used for obtaining vehicle and weighing information of an external coal truck and sending the information to the data center server; the vehicle-mounted integrated terminal is arranged on a coal yard loader, the vehicle-mounted integrated terminal comprises a wireless communication device and a data management device, the wireless communication device is used for allowing the vehicle-mounted integrated terminal to perform data communication with the data center server, and the data management device is used for managing the state information of load vehicles and loading tasks sent by the data center server; the data center server is used for performing loading task allocation according to the state information of all the load vehicles monitored in real time, the vehicle and weighing information of the external coal truck and a preset scheduling algorithm; and the data center server, the unattended weighing system and the vehicle-mounted integrated terminal are connected with one another through the internet. By means of the intelligent loading and transport system for the coal yard, the loader can be dispatched automatically, loading efficiency is high, and the utilization rate of the loader is high.

The invention discloses an online monitoring early-warning method for aquatic plants. The method mainly comprises the following steps: when aquatic plants pass through a preset monitoring area, acquiring types, an area and a movement speed of the aquatic plants passing through a monitoring cross section through a method combining a radar and a video, measuring and calculating a pollution equivalent of the aquatic plants, predicting a movement trend of the aquatic plants in combination with an aquatic plant drifting model, and pre-warning a downstream water management department in time. The online monitoring early-warning method for the aquatic plants, disclosed by the invention, can solve the difficult problems that the pollution equivalent of the aquatic plants cannot be quantized, online monitoring and warning cannot be achieved in real time around the clock, and the like.

The invention discloses an intelligent decision method based on an artificial intelligence technology and an ROPN technology which belongs to the field of artificial intelligence technologies, such asa granular neural network, the reinforcement learning, etc., and the ROPN industrial system modeling technology, and solves the problem that the granular calculation in the prior art cannot overcomethe deadlock during an actual production process. The method comprises the steps of constructing an ROPN model based on the acquired real-time data of an industrial system and an ROPN technology; constructing a granular neural network decision model, namely an intelligent production scheduling model, based on the acquired historical data of the industrial system and the granular calculation, and training the intelligent production scheduling model through the subsequently acquired historical data of the industrial system after the model is constructed to obtain a trained intelligent productionscheduling model; and based on the ROPN model and the intelligent scheduling model, deciding the problems to be decided, the real-time data of the industrial system, the problem data in the real-timescheduling problems and the historical data of the industrial system to obtain an optimal scheduling scheme. The method is used for obtaining the optimal decision during the industrial control and scheduling process.

The invention discloses a distributed shared service management system. The system is characterized by comprising a database server and a service ticket intelligent scheduling server running in a cloud computing center, and a plurality of mutually connected shared service centers, wherein each shared service center is at least configured with one set of Ukey intelligent management system and a plurality of station terminals. The distributed shared service management system provided by the invention thoroughly solves the problem of no cooperation among various shared service centers, realizes the intercommunication and orderly sharing of resources of various distributed shared service centers, and establishes a decentralized shared service platform with highly reused resources.

The invention discloses an unmanned aerial vehicle scheduling method and system based on particle swarm optimization and a readable storage medium. The method comprises the following steps: a controlcenter sends a task preparation instruction to a standby unmanned aerial vehicle group; after a task preparation instruction is received, the unmanned aerial vehicle group initializes vehicle body parameters and sends a response data packet to the control center server; the control center performs comprehensive analysis after receiving the response data packet, and determines an unmanned aerial vehicle group executing the task; a conventional path is preliminarily planned for each to-be-flied unmanned aerial vehicle, and a task is executed after receiving a starting instruction;d the unmannedaerial vehicle group and the control center keep a communication state all the time, and the control center performs whole-process scheduling based on particle swarm optimization according to the real-time state of each unmanned aerial vehicle. According to the method disclosed in the invention, by use of the particle swarm optimization technology, unmanned aerial vehicle scheduling intelligence is realized, scheduling management efficiency of the unmanned aerial vehicle group is improved, and the flight energy consumption of the unmanned aerial vehicle during task execution is effectively reduced.

The invention discloses a network bandwidth scheduling method and a network bandwidth scheduling system. The network bandwidth scheduling method comprises the following steps: when network data need to be transmitted through a service terminal, checking and requiring available bandwidth of the network bandwidth from the network bandwidth scheduling system; scheduling and distributing the available bandwidth to the service terminal according to the use situation of the available bandwidth through the network bandwidth scheduling system; performing bandwidth audit on the process that the network bandwidth is used in the service terminal through an audit module in the network bandwidth scheduling system, feeding back an audit report to the service terminal, and performing network bandwidth scheduling management according to the audit report; performing congestion detection on the network bandwidth through the network bandwidth scheduling system, and when judging that network congestion happens, transmitting a congestion inform to relieve the network congestion to the service terminal. By the adoption of the network bandwidth scheduling method and the network bandwidth scheduling system disclosed by the invention, intelligent scheduling of service data transmission among data centers is achieved, and the utilization rate of bandwidth is increased.

The invention discloses a scheduling system and method of a golf venue. The method comprises the following steps that course information and player data are initialized; after a player exits or completes ball hitting of a certain number hole, a scheduling request is handed over to the background scheduling system through a player side; the background scheduling system obtains real-time data, the time required for scheduling the player to subsequent holes is calculated according to the real-time data and the player data, the hole with the shortest required scheduling time is selected, and the hole number is sent to the player side; the above steps are repeated until the player completes ball hitting activities of all the holes. According to the scheduling method and the scheduling system, the operation efficiency of a golf course is greatly improved, the personnel cost is reduced, and the service quality is improved; the scheduling system provides the real-time course data for club operators, and precise and reasonable schedules and suggestions are provided for the player on the basis of the obtained real-time data; intelligent scheduling of the golf venue without patrolling is realized.

The invention proposes an energy storage economic operation control method and device for a microgrid, and the method comprises the steps: firstly determining an effective state of the electric quantity of an energy storage unit, calculating the charging and discharging power of the energy storage unit, determining a stage index function, determining the optimal operation cost of the energy storage unit, and determining the optimal scheduling strategy of the charging and discharging power of the energy storage unit, thereby achieving the intelligent scheduling of the energy storage unit in the microgrid and guaranteeing the economic and stable operation of the energy storage unit. According to the technical scheme of the invention, the method achieves the search towards the center from two directions (sequential and inverted sequences) based on a bidirectional dynamical planning algorithm, and greatly reduces the calculation burden of the dynamical planning algorithm. Moreover, when the requirements for the calculation time are not high, the bidirectional dynamical planning algorithm can give an economic scheduling strategy, which accords with an optimization target in a better way, of the energy storage unit.