838 results about "Stream control" patented technology

The invention discloses a fault ride-through hierarchical control method for a network-constructed converter, and the method comprises the steps: introducing a virtual resistor formed by fault current negative feedback into the voltage and current inner loop control of the network-constructed converter based on VSG control through a current inner loop dynamic amplitude limiting control layer after the converter enters a fault ride-through state, the size of the virtual resistor is adjusted in real time along with the amplitude of the fault current so as to carry out dynamic current limiting control on the virtual resistor; and the power outer loop dynamic compensation control layer dynamically adjusts an active power instruction value and a reactive power instruction value of the network construction type converter based on VSG control during the fault ride-through period according to the voltage drop degree of the power grid after the converter enters the fault ride-through state. And respectively performing active-frequency control and reactive-voltage control based on the active power instruction value and the reactive power instruction value. In addition, the method also comprises a state coupling and parameter self-adaption module. According to the method, the GFM converter can have better dynamic performance in the fault recovery stage.

The invention relates to a rectification harmonic suppression control method for a double reverse star transformer. The method comprises the following steps: establishing a rectifier bridge arm phase characteristic parameter table in a control platform, and recording a theoretical conduction phase, winding attribution and waveform synchronization characteristics of a bridge arm; in the operation process of the rectification control unit, the output current of a transformer and the conduction state of a bridge arm are collected, and a rectification operation state data set is generated; and calculating bridge arm conduction phase deviation, and analyzing a corresponding harmonic component to obtain a mapping relation between a bridge arm state and harmonic distribution. And judging whether the current bridge arm configuration meets the phase coverage requirement of the target rectification pulse number or not according to the mapping result, and if not, selecting a standby bridge arm group with a preset phase difference and generating a switching instruction. And the rectification control unit responds to the instruction to lock the current bridge arm conduction path and release the target bridge arm group so as to realize bridge arm resource dynamic reconstruction and rectification performance optimization. Harmonic waves can be effectively suppressed, and the topology adaptability and the output quality of the rectification system are improved.

The invention discloses a TSN scheduling optimization method and device based on flow sensing autonomous learning, equipment and a medium. The method comprises the following steps: deploying a lightweight flow detection module in a switch or a router, and after a controller receives a data request, automatically identifying a newly arrived unknown service flow by using the lightweight flow detection module, and judging whether the newly arrived unknown service flow is a periodic TT flow or an unpredictable burst flow; the controller performs classification management on the identified service flow types, collects topological information and flow requirements of the whole network and issues the topological information and the flow requirements to the terminal nodes through a network management interface; the controller constructs an intelligent queue scheduling task based on the collected network topology information and traffic demand and converts the task into a Markov decision process MDP, network resources, queue states and priorities are used as a state space, a scheduling strategy is used as an action space, a reward function is designed in combination with throughput and delay indexes, and an intelligent queue scheduling task is obtained. Driving a dynamic environment through real-time data and training a DRL model; an enhanced queue scheduling mechanism Pro-CQF is adopted, different priority labels are configured according to classified flow types, and then mixed flow scheduling is carried out; the controller periodically collects time delay, packet loss rate and end-to-end transmission delay indexes and feeds back the indexes to the DRL model, and a scheduling strategy is updated online. According to the method, the traffic sensing and scheduling efficiency is greatly improved in a network environment in which multiple service flows coexist and end-side equipment functions are different, and the reliability and the expandability of the TSN in industrial Internet of Things, edge computing and other high-real-time application scenes are remarkably enhanced.

The invention discloses an intelligent traffic light coordination control method and system for traffic flow optimization, and relates to the technical field of intelligent control. The method comprises the following steps: collecting traffic flow data of lanes in all directions in a target area in real time through heterogeneous sensor networks deployed at all intersections; identifying the traffic flow data to obtain tidal traffic flow features; performing dynamic intensity evaluation based on the tidal traffic flow characteristics to obtain a tidal direction intensity index; a multi-agent cooperative network is constructed, and a continuous intersection green light phase offset sequence is generated based on cooperative calculation of the multi-agent cooperative network; and when the tide direction intensity index is greater than a preset threshold value, inputting the continuous intersection green light phase offset sequence into a traffic signal lamp control system so as to start a tide green wave mode. The technical problems that in the prior art, traffic flow control is not flexible enough, and traffic lights cannot be intelligently adjusted according to the traffic flow condition are solved, and the technical effects of improving the road passing efficiency and reducing congestion are achieved.

The invention discloses a data encryption method for multilevel key stream control in an industrial gateway, and particularly relates to the technical field of data encryption and network security. The method comprises the steps of obtaining a session identification code and communication context information; generating a first-level basic key based on the session identification code, and generating a multi-level key stream control matrix in combination with communication context information and a multi-source dynamic random factor; according to the hierarchical relationship of the matrix, key stream sequences of corresponding levels are distributed to data packets of different priorities, and the key stream sequences are switched or combined in real time according to data packet types, transmission paths and security policies in the encryption process, and time fragmentation processing and disturbance coding are executed; the encrypted data packet is sent through a multi-protocol forwarding module of the industrial gateway, and the receiving end carries out decryption by using the key stream control matrix; according to the invention, dynamic generation, hierarchical calling and safe switching of the key stream can be realized, and the data confidentiality, integrity and anti-attack capability of the industrial gateway in a complex network environment are remarkably improved.

The invention relates to the technical field of network construction type converter control, in particular to a network construction type converter fault ride-through method and system based on dynamic virtual resistance control, and the method comprises the steps: adding a control link based on virtual impedance in a network construction type converter control system; detecting the actual value of the power grid voltage, and judging whether the power grid voltage drops or not; detecting the current amplitude output by the grid-forming converter in real time, and judging whether the current amplitude exceeds a set value or not; if one of the two conditions is met, a virtual impedance control link is started: stage-type current limiting control is performed on the virtual resistor, and the size of the virtual resistor provided by the network-forming converter to the power system is adjusted in real time along with the amplitude of the fault current; and when the power grid voltage recovers and the current amplitude is smaller than the set value, the virtual resistor staged current-limiting control exits. According to the invention, the amplitude limiting of the fault current in the fault ride-through of the network-constructed converter can be realized, so that the fault ride-through capability and transient stability of the network-constructed converter are improved.

The invention provides a passenger flow regulation and control method based on simulation prediction and a feedback closed loop, and the method comprises the steps: obtaining monitored real-time monitoring data through a camera, and fusing the real-time monitoring data with historical passenger flow data on an edge computing device; constructing a simulation environment according to the fused data, and performing simulation prediction on passenger flow distribution of the subway station in a future time period; inputting the simulation prediction result into a strategy generation module to generate a passenger flow control strategy; executing a passenger flow control strategy, and controlling the passenger flow by adjusting hardware facilities of the station; in the passenger flow control strategy execution process, feedback data are collected in real time through a camera, the control strategy is adjusted according to the feedback data, and closed-loop regulation and control are achieved. According to the method, the passenger flow distribution of the station in the future time period is simulated and predicted, the possible congestion trend can be predicted before the actual passenger flow growth arrives, and a strategy suitable for the actual conditions of different stations is finally made through continuous verification and adjustment, so that the station operation safety and the passenger passing efficiency are improved.

The invention relates to the technical field of flood control and drainage of urban pipe networks, in particular to a real-time control method, device, equipment and medium for an urban drainage system, and the method comprises the steps: carrying out the initialization of a DDDP-TL optimization algorithm according to a pre-constructed initial pipe network SWMM model of a target city; obtaining current actually-measured rainfall data of the target city and forecast rainfall data of multiple periods in the future; updating the initial pipe network SWMM model according to the current actually measured rainfall data to obtain an updated pipe network SWMM model; and based on the initialized DDDP-TL optimization algorithm, performing rolling optimization on the updated pipe network SWMM model by using the current actually measured rainfall data and the forecast rainfall data of multiple periods in the future so as to obtain a final control trajectory. Therefore, the problems that an existing urban inland inundation and combined system overflow control scheme depends on control rules, the optimization operation complexity is high, and the regulation and storage capacity of a pipe network is not fully utilized are solved.

The invention provides an urban rail transit regional passenger flow cooperative control and intelligent optimization method and device, and the method comprises the steps: describing the passenger flow evolution through a space-time state network, building a regional cooperative passenger flow control optimization model which takes the minimization of passenger waiting time as an objective function, and considers the constraints such as flow balance and capability constraints; and converting the optimization model into a deep reinforcement learning framework based on a Markov decision process, generating a reward function adaptive to passenger flow control by using a large language model LLM, and continuously optimizing a reward strategy according to the test performance of the agent through interactive training of a deep reinforcement learning agent and establishment of a reward function correction mechanism. Finally, a regional passenger flow control scheme is extracted from the trained agent model, more intelligent and efficient decision support is provided for subway managers, the operation efficiency of an urban rail transit system is improved, and the queuing waiting time of passengers is shortened.

The invention relates to the field of data processing, in particular to a distributed flow limiting method and device, equipment and a medium, which are used for realizing distributed flow limiting control on a service request. The method comprises the following steps: receiving business requests of business servers connected with a cache server, and clustering the business requests based on multi-dimensional object information of the business requests to obtain request clusters; aiming at each request cluster, respectively executing the following steps: sorting the service requests in the request cluster to obtain a request sequence; aiming at each service request in the request sequence, sequentially executing the following steps: acquiring the count of a counter corresponding to the multi-dimensional object information of the service request, comparing the count with a first quantity threshold value, and judging whether the count is updated or not based on a first comparison result; and sending the first comparison result to a service server corresponding to the service request to enable the service server to analyze the first comparison result, and if a return value in an analysis result is a first set value, performing flow limiting processing on the service request.

The invention relates to a circuit arrangement (1) for multi-zone heating operation, comprising: a plurality of heating wires (2, 2 '), which can be supplied in parallel by a heating voltage, for heating a touch surface (19) comprising a plurality of zones (20, 20'); wherein a respective heating wire (2, 2 ') is associated with a zone (20, 20'); at least one first switching element (3a, 3a ') for each heating wire (2, 2'), which is coupled between the heating wire (2, 2 ') and one of the two different heating potentials (VH +, VH-) of the heating voltage in such a way that, in a heating mode, a heating current is applied to the respective heating wire (2, 2') in the conducting state of the first switching element (3a, 3a '), and interrupting the heating current in the OFF state of the first switching element (3a, 3a '); a control circuit (12, 6a, 6a ', 6b, 6b') configured to generate, for each heating wire (2, 2 '), individual pulse width modulated first control signals (ST1, ST1') to switch the first switching elements (3a, 3a ') between an on state and an off state, respectively, the individual pulse width modulated first control signals being applied to first control terminals (Ga, G'a) of the first switching elements (3a, 3a'), respectively; wherein the control circuits (12, 6a, 6a ', 6b, 6b') are further designed to apply a respective associated heating current to a plurality of heating wires (2, 2 ') in a common heating stage in parallel, in an overlapping manner and / or in an alternating manner, and wherein at least two of the first control signals (ST1, ST1') differ in terms of their duty cycles.

The invention discloses a method for improving stability of a network-forming converter by considering voltage and phase transients, which solves the problem of over-current control blind areas existing at the initial stage of a fault and at the moment of clearing in a traditional single current limiting method and overcomes the defect that the stability is sharply deteriorated when a traditional strategy is used for coping with a composite fault. The method comprises the following steps: S1, obtaining a virtual synchronous machine swing equation under a synchronous rotating coordinate system and an equivalent circuit model under the action of a circular current limiter; and S2, obtaining a nonlinear relation between the output power and the power angle of the converter, and analyzing a transient stability domain of the converter during a fault period. And S3, obtaining a mixed current limiting strategy, deducing an equivalent circuit model corresponding to the strategy, and further obtaining an output power expression corresponding to the strategy. And S4, obtaining a power damping term acting on an active power control loop, further obtaining a synchronization stability improvement strategy, and deducing a closed-loop model describing the system at the moment.

The present application belongs to the grid-connected converter technical field, disclose a kind of droop control inverter current-limiting control method and system, the virtual impedance size and active reference value restriction condition when the fault current is equal to current-limiting value are accurately obtained by phasor analysis, virtual impedance-current difference proportional coefficient and active reference value-current difference proportional coefficient are designed considering the most serious situation of current-limiting, proportional increase virtual impedance and reduce active reference value with the change of adaptive current at fault, can meet the current-limiting requirement under different depth grid voltage drop.The current-limiting control method proposed in the present application is adaptive to fault current, without fault detection device, the transient stability of inverter is enhanced due to the reduction of active reference value at fault, and the fault current is indirectly limited by adjusting virtual impedance and active reference value, the voltage source characteristics of droop control inverter are retained, and the system fault ride-through capability is significantly enhanced.

The invention discloses an AC excitation system self-starting control method and system, and the method comprises the steps: obtaining a rotor current rotation frequency and an actual rotor rotation frequency, and generating a slip frequency; the slip frequency is compared with a preset dynamic threshold value, and the rotating speed given value is dynamically adjusted; inquiring a preset multi-stage sectional type current control curve according to the actual rotor rotation frequency, and outputting a d-axis current given value; pI adjustment is carried out based on the slip frequency to generate a q-axis current given value, and corresponding preset current threshold limit is applied according to the frequency band where the actual rotor rotation frequency is located; performing independent parameter configuration on the magnetic flux current control loop and the torque current control loop by adopting a non-coupling parameter setting algorithm; and in the unit starting process, under the condition that the stable starting constraint condition is met, an optimal starting parameter combination is generated. According to the invention, by dynamically adjusting the rotating speed given value and controlling the current in a segmented manner, the stable self-starting of the alternating current excitation system is realized, and the reliability and efficiency of the starting process are improved.

The invention discloses a circuit and a method for realizing current sharing through master-slave parallel connection, and the method is characterized in that a master machine and a plurality of slave machines are connected in parallel, and are respectively connected to a current sharing control bus through an isolation chip, a TTL and differential mutual conversion unit and an information gating switch in sequence, thereby forming a parallel current sharing circuit; comprising a host issuing current reference circuit and a processing circuit after a slave receives a current reference signal from the host. After a plurality of instrument power supplies are connected in parallel, a user sets a master-slave parallel mode on a front panel of the power supplies and selects a master computer, and other computers are slave computers; when a plurality of power supplies work in parallel, the host issues a current reference signal to the current sharing control bus through the current reference generation circuit, and the slave outputs a corresponding current value according to the current reference signal issued by the host. One of a plurality of power supply modules can be randomly selected as a main module, the flexibility is high, the stability is good, and the power supply has the characteristics of simplicity in wiring and control, low transmission loss of control signals, difficulty in interference of the control signals, balanced output control of all the power supply modules and the like.

Techniques for software defined super core usage are described. In some examples, a first and second processor core are to operate as a single virtual core enabled by the operating system to fetch the first set of instruction segments of the single threaded program and the second set of instruction segments of the single threaded program concurrently using flow control instructions that have been inserted into the single threaded program.

The invention provides a self-adaptive current sharing control method, system and device and a medium. The control method comprises the following steps: acquiring output voltage and output current of each LLC module connected in parallel; subtracting the output voltage of each LLC module from the voltage reference value to obtain a first error signal; subtracting the output current of each LLC module from the current reference value to obtain a second error signal; according to the first error signal and the second error signal, a duty ratio control signal and a frequency control signal are generated through a double-feedback channel; and finally, based on the duty ratio control signal and the frequency control signal, dynamically selecting or superposing a PWM control mode and a PFM control mode to generate a driving signal, and adjusting a switching tube of each LLC module through the driving signal, thereby realizing uniform distribution of output current, ensuring stable output voltage, avoiding the situation that a single module bears all loads, and improving the reliability of the system. The service life of power devices is prolonged, and the overall operation reliability of the system is improved.

A method for controlling congestion in intermittently-connected and lossy computer networks comprising: determining, at a local network node, a payoff score for each of a plurality of active flows of network traffic, wherein each active flow consists of a stream of in-transit packets at the local network node that come from a common source and share a common destination, wherein each active flow's payoff score is based on a pricing model that considers both a sojourn time and a position in a queue of each of an active flow's constituent packets; allocating unused buffer space across all active flows in the local network node based on relative traffic loads with a buffer-space allocation (BSA) agent; and controlling a rate at which packets from all active flows are received at the local network node with a hop-by-hop local-flow-control (LFC) agent according to each flow's payoff score.

The embodiment of the invention provides a control method, a control system, computing equipment, a storage medium and a program product. The method comprises the steps of obtaining a load state of a server in a storage system; wherein the load state is determined based on index data of at least one operation index; updating a flow control threshold according to the load state; and performing flow limiting control on a processing request to be sent to the server according to the flow control threshold. According to the technical scheme provided by the embodiment of the invention, the storage performance is ensured, and the resource utilization rate is improved.

The invention belongs to the technical field of power transformation equipment, and particularly relates to a low-voltage dynamic reactive compensation switching device which comprises a shell, a photoelectric isolation module and a communication module. The shell is in an inverted-T shape, a switching switch is arranged at the front end of the shell, wiring ports are symmetrically formed in the upper side and the lower side of the shell, and wiring bolts are installed on the wiring ports. A photoelectric isolation module is arranged on one side of the shell, and the heat dissipation holes dissipate heat for the photoelectric isolation module. According to the scheme, a thyristor and contactor hybrid switching switch is adopted, zero-crossing switching is realized by the thyristor during dynamic load fluctuation, and inrush current control is less than or equal to 10 times of rated current. And when the static state is stable, the contactor is automatically switched to be conducted, and the power consumption is reduced to 1.5 W and is greatly reduced compared with a pure thyristor scheme, so that the impact is avoided and the energy consumption is reduced. The thyristors are in bidirectional anti-parallel connection, and are matched with zero-cross detection logic of the controller, so that overvoltage and transient harmonic waves in the switching process are thoroughly eliminated, no interference is caused to a power grid, and the service life of the device and power grid equipment is prolonged.

A direct memory access controller (DMAC) includes a virtual channel, a physical channel, and a context manager. The virtual channel is configured to generate a flow control signal for executing a direct memory access (DMA) command. The physical channel includes read and write control logic to initiate data transmission from the source device to the destination device in accordance with the DMA command in response to the flow control signal. In one embodiment, a context manager includes: allocation logic configured to arbitrate between allocation requests from virtual channels and to allocate physical channels to selected virtual channels; and routing logic configured to route a flow control signal from the selected virtual channel to the allocated physical channel, and to route a status signal between the allocated physical channel and the selected virtual channel.

Various embodiments of the teachings herein include a dynamic workflow implementation method. An example includes: constructing a behavior tree comprising: a plurality of function block nodes, and connection relationships between the function block nodes; analyzing the behavior tree to obtain a workflow representing service operations to be performed by resources comprising the dynamic resource in one workcell; and deploying the workflow to a runtime of the corresponding workcell so the runtime determines a resource instance of the dynamic resource based on on-site resource data and controls resources comprising the resource instance to perform the operations based on the workflow. At least one of the plurality of function block nodes is bound to a dynamic resource including a placeholder for reference to a plurality of resource instances of a same type.

The invention discloses a power angle feedback control method for a network construction converter with synchronous stability and current limiting capabilities, and belongs to the technical field of power electronic control. In order to solve the problems that an existing networking converter is prone to instability in the transient state and insufficient in fault overcurrent capacity, power angle feedback control is introduced, a reliable stable balance point is built for the networking converter, and the synchronization stability of the networking converter is remarkably enhanced; meanwhile, the size of the stable balance point is adjusted in real time according to different fault degrees, active current limiting control of the networking converter is achieved, and the current limiting requirement of the networking converter is effectively met on the premise that the synchronization stability of the networking converter is greatly enhanced.

The invention discloses a time sequence fault current-limiting control method and system compatible with a grid-connected guide rule for a network construction type doubly-fed wind turbine generator, and the method comprises the following steps: freezing external power control when a low-voltage ride-through event of a power grid is detected at the initial stage of a fault, and suppressing transient overcurrent through dynamically adjusting the resistance component of virtual impedance; in the fault stable stage, an electromotive force compensation increment is calculated on the basis of grid-connected guide rule requirements at the moment 4 tau after the fault occurs; in the fault clearing stage, after it is detected that the fault is cleared, electromotive force compensation is stopped; gradually recovering the virtual impedance to a rated value through the dynamic coefficient A; in the fault recovery stage, active control and reactive control are recovered in sequence, power output is recovered to the level before the fault within one second, and meanwhile the virtual impedance amplitude is gradually recovered to the rated value along with the voltage phase difference; the voltage phase jump amplitude and the voltage drop amplitude determined by the method have high robustness.

In a communication method, the method includes: obtaining a subscribed aggregated maximum bit rate (AMBR) of a slice, wherein the subscribed AMBR indicates a quantity of guaranteed bit rate (GBR) resources and a quantity of non-GBR resources in the slice; determining policy information based on the subscribed AMBR, wherein the policy information comprises at least one of a session-AMBR of a session or a flow control bit rate of a QoS flow of the session; and sending the policy information to a session management network element

The invention belongs to the technical field of microwave source equipment, and provides a microwave generator and a power output adjusting method and device, and the method comprises the steps: obtaining target output power, determining a power interval according to the target output power, and determining a corresponding control strategy according to the power interval. The control strategy includes executing several adjustment cycles. The nth regulation period comprises the following steps: executing at least one of a filament current control strategy and a magnetic field current control strategy; executing a power control strategy; the real-time output power of the microwave generator is collected, if the deviation value of the real-time output power and the target output power is within a first set range and lasts for a first time length, all the n control periods are completed, the process is ended, and the next period is not entered any more; otherwise, entering the (n + 1) th period, n being greater than or equal to 1. The optimal adjustment algorithm is selected according to the target output power, and a better power output adjustment effect is achieved.

The invention relates to a neural network accelerator, in particular to an instruction flow control system applied to the neural network accelerator, which comprises a first-stage instruction flow control unit, a second-stage instruction flow control unit, a third-stage instruction flow control unit, a fourth-stage instruction flow control unit and a fourth-stage instruction flow control unit, and is characterized in that the first-stage instruction flow control unit is responsible for prefetching, decoding, executing and distributing instructions of the neural network accelerator and responding to pause influence of debugging events and synchronization events on instruction distribution; the second-level instruction flow control unit is located in each execution unit, extracts execution parameters from the second-level execution instructions distributed by the first-level instruction flow control unit, is responsible for translating and maintaining the instruction execution dependency relationship among the execution units, and ensures that the execution units execute the instructions in sequence according to the instruction execution dependency relationship among the execution units; according to the technical scheme, the defect that in the prior art, it is difficult to efficiently execute instructions with the execution dependency relationship between the execution units can be effectively overcome.

A network device includes multiple ports, a Shared Buffer (SB) and a SB controller. The ports to connect to a communication network. The SB to temporarily store packets received from the communication network via the ports, the packets belonging to multiple flows. The SB controller to allocate one or more flow-specific storage regions in the SB, a given flow-specific storage region being allocated to store the packets that (i) belong to respective one or more of the flows and (ii) are to be transmitted via a respective egress queue. In response to detecting that an occupancy level in the given flow-specific storage region exceeds a specified occupancy threshold, the SB controller to report the flows in the given flow-specific storage region as congested.

The invention relates to the technical field of traffic transportation, in particular to a CAV and HV vehicle mixed traffic flow control method and system and a storage medium, and the CAV and HV vehicle mixed traffic flow control method comprises the steps: S2, building a traffic flow control model which introduces a front vehicle speed effect and also introduces a gathering lane changing strategy; s2, obtaining related parameters of the traffic flow control model; s3, inputting the related parameters obtained in the step S2 into the traffic flow control model established in the step S1, and outputting a simulation result describing a traffic control result; compared with the prior art, the method has the advantages that according to road conditions, CAV queuing conditions of front and back vehicles can be acquired, and the gathering condition of homogeneous vehicles is further considered during lane changing decision making, so that more CACC car-following modes appear on a road, the road traffic flow efficiency is further improved, meanwhile, due to the high interconnection of the CAVs, the road safety is further improved, and the road traffic flow efficiency is improved. And the mutual interference between the CAV vehicle and the HAV vehicle is reduced.

The invention belongs to the field of intelligent traffic, and particularly relates to a construction area traffic flow guiding and speed cooperative control system which realizes accurate traffic flow control through cooperative operation of an area sensing module, a distributed guiding module, a communication module and an emergency response module. The area sensing module is based on three-dimensional modeling and digital twinning technologies, fuses real-time traffic flow, vehicle states and environment data, and constructs a three-dimensional simulation space of a target area; the distributed guide module establishes a drainage control model by using a distributed reinforcement learning algorithm, dynamically optimizes a sub-region congestion control strategy in combination with a vehicle-road-cloud three-level communication node, and adjusts the acceleration and speed of a vehicle in real time; and the emergency response module rapidly generates an emergency instruction through an anomaly analysis algorithm and a strategy library and feeds back the emergency instruction to the guide model to solve an emergency abnormal event, and the application integrates multi-source data real-time sensing, distributed decision optimization and a multi-stage communication architecture, and realizes dynamic traffic flow distribution and intelligent traffic control in a construction area.