37 results about "Decision cycle" patented technology

A video conference system based on Soft-MCU includes a server, a video conference terminal BHU-ICT, a computer terminals and video communication system procedures, wherein, the video conference terminal BHU-ICT is composed by a digital video camera, a microphone, and an audio and video encoder. The digital video camera and the microphone are respectively connected to the audio and video encoder, the encoder, the server and the computer terminal are connected on the network, and the procedures are respectively running in the server and the computer terminal. The digital video camera and the microphone acquire the audio and video information of the meeting place, and use the encoder to execute hardware coding. A media control procedure runs on the computer terminal, and an MCU service procedure run on the server terminal, uses the Ethernet to exchange the audio and video information with the encoder, for performing audio and video communications. All of the texts, requests, commands and other information formats in the system control signaling system conform to the XML standard. The invention constructs a remote network video communications platform with high-quality, high stability and high security, which can be widely used in party and government organs and enterprises and institutions. The invention has advantages of reduced system cost, reduced travel costs, shortened decision cycles and enhanced work efficiency.

The invention discloses a multi-sensor cooperative tracking joint optimization decision method and aims at providing the optimization decision method with high calculating efficiency and an accurate optimization decision parameter. The method is characterized by predicting the target position information and the fusion measurement information of a sensor in a decision period by a multi-sensor cooperative tracking system, and obtaining the fusion measurement state of a decision cycle moment and a fusion measurement covariance; using multi-source data fusion algorithm to calculate the fusion tracking error of multi-sensor cooperative tracking to a target; according to local aircraft navigation information and radar detection information to the target, calculating the azimuth and the pitch angle of a local radiation source relative to the other aircraft and the tracking and positioning error of the local radiation source detected by the other aircraft; taking the fusion tracking error ofmultiple sensors to the target as a constraint condition and taking a target matching relationship and the like as an optimization decision parameter; establishing a multi-stage and multi-constrainedcooperative tracking decision model; and solving a multi-stage sensor optimization decision and the optimization decision parameter.

The invention relates to a method for use in a telecommunication system to generate an acceptance decision during a decision cycle that comprises whether to accept an incoming packet of a data stream or not in a buffer (BUF). The incoming packet (P) has a drop priority (DP) being one of a plurality of arranged drop priorities. The method comprises determining for a drop priority parameter (DPP) an actual drop priority parameter value (DPPact) out of the plurality of drop priorities; and comparing the drop priority parameter (DPP) with the drop priority (DP) of the packet (P) in order to generate the acceptance decision. The method further comprises that the step of determining the actual drop priority parameter value (DPPact) comprises determining a previous drop priority parameter value (DPPprev) by means of any one of an initial value (DPPinit) and a previous actual drop priority parameter value (DPPact′) having been determined during one of a previous decision cycle; and updating a queue occupancy variable (Q) as a function of a previous re-scaled queue occupancy value (RE-Qact′) having been determined during one of a previous decision cycle and providing thereby an intermediate queue occupancy value (Qint); and re-calculating the intermediate queue occupancy value (Qint) of the queue occupancy variable (Q) in function of instantaneous queue occupancy information (INF-Qins) of the buffer (BUF) and providing thereby an actual queue occupancy value (Qact); and comparing the actual queue occupancy value (Qact) with any one of a minimum threshold (Tmin) and a maximum threshold (Tmax) and providing thereby a result (RES (UP; DO; REM)); and according to the (RES (UP; DO; RET)) re-scaling the actual queue occupancy value (Qact) and the previous drop priority parameter value (DPPprev) and providing thereby, respectively, a re-scaled queue occupancy value (RE-Qact) and the actual drop priority parameter value (DPPact).

The invention provides a heating furnace temperature decision-making method based on a billet optimizing heating curve. The method comprises a first step of initialization of a calculation parameter, a second step of calculation segment division of a heating furnace, a third step of position tracking and temperature tracking of all billets in the heating furnace, a fourth step of judging whether the position tracking and the temperature tracking of all the billets in the heating furnace are finished, returning to the third step if the positioning tracking and the temperature tracking are not finished and continuing if the positioning tracking and the temperature tracking are finished, and a fifth step of judging whether a furnace temperature decision-making cycle arrives, returning to the third step if the furnace temperature decision-making cycle does not arrive and conducting the furnace temperature decision-making if the furnace temperature decision-making cycle arrives. The method is simple in correcting algorithm, fast in calculating speed, high in efficiency and beneficial for achieving online control of the heating furnace, saves energy and reduces consumption.

The invention discloses a data transmission method and device. The data transmission method comprises the following steps: in a decision cycle of a data transmission mode, a transmitting end acquires a current data transmission mode; the transmitting end selects a group of antennae thereof according to the current data transmission mode; the transmitting end transmits data according to the current data transmission mode through the antennae. By the invention, spatial correlation requirement of a multi-antenna data transmission mode can be adapted effectively and the performance of a system can be improved.

The invention discloses a dynamically adjusted emergency transportation scheduling plan generation method, including 1: dividing the entire transportation scheduling time evenly into T cycles, using r to represent the cycle number of the current decision, r∈{1,...,T }, the initial value of r is 1; 2: Obtain the environmental information of E cycles starting from the first cycle, run the initial planning decision model, generate the initial plan for E scheduling cycles, and execute the plan of the first scheduling cycle , then let r=r+1; 3: Collect the actual execution of the decision generated from the first period to the (r-1)th period, and from the period r to the period min(r+E-1, T) 4: According to the information collected in step 3, run the adjustment decision model to generate scheduling decision plans for multiple periods starting from the current period r, but only execute the plans belonging to the current period r; 5: Update r =r+1, if r≤T, go to step 3, otherwise the scheduling ends. The invention has the advantage of dynamically optimizing and adjusting the emergency resource scheduling plan according to the result of continuous updating of information.

The embodiment of the invention provides a bandwidth control method and device, and relates to the technical field of computers, and the method comprises the steps that edge proxy equipment obtains bandwidth configuration information and bandwidth data of a target channel in a previous decision period; and when it is determined that the decision center device does not generate the center control strategy of the target channel, generating an edge control strategy of the target channel according to the bandwidth configuration information and the bandwidth data of the target channel in the previous decision period, and then sending the edge control strategy of the target channel to the edge resource device. Because the edge proxy device generates the edge control strategy and issues the edgecontrol strategy to the edge resource device when the decision center device does not generate the center control strategy, the method for issuing the edge control strategy before the bandwidth valueof the client channel does not reach the control threshold can effectively solve the problem of center decision hysteresis. Therefore, the sudden increase of the bandwidth is avoided, and the CDN platform and the service of each client can be effectively protected.

The invention provides a side cloud collaborative digital twin intelligent production scheduling application operation position adaptation method. An applied intelligent production scheduling system comprises a cloud layer, an edge layer and a device layer. The generated digital twinning systems are arranged on the edge layer and the cloud layer; and an adaptive strategy controller is arranged on the cloud layer. The adaptation strategy controller dynamically senses edge and cloud resource states, application attributes and the like in the production process, and carries out real-time adaptation switching on the operation position of the digital twin intelligent production scheduling application under two conditions of a determined environment and a non-determined environment by taking minimization of digital twin intelligent production scheduling decision period delay as a target; and real-time adaptive switching is performed on the operation position of the digital twin intelligent production scheduling application based on prediction in an uncertain environment. By adopting the method provided by the invention to determine the operation position of the digital twinning intelligent production scheduling application, the performance loss caused by delay of data interaction and instruction issuing based on a digital twinning system is reduced, and the guarantee based on the digital twinning production scheduling precision is improved.

The embodiment of the invention discloses a data processing method and a data processing device, and the method comprises the steps: obtaining the first bandwidth adjustment information and bandwidth adjustment result of each business flow in M business flows in a first exploration period, and obtaining the bandwidth adjustment result of each business flow according to the first bandwidth adjustment information and the bandwidth adjustment result, determining second bandwidth adjustment information of each service flow in the first decision period; and adjusting each service flow according to the second bandwidth adjustment information; wherein the bandwidth adjustment result is obtained by adjusting each service flow according to the first bandwidth adjustment information; wherein M is an integer greater than or equal to 2. In this way, it is beneficial to determine bandwidth allocation information between multiple traffic flows.

The invention discloses a business resource allocation method and device, equipment and a storage medium, and the method comprises the steps: obtaining original data related to a resource applicant, and enabling the original data to comprise one or more types of bank data, credit investigation data, tax data, business data and judicial data; processing the original data, and calculating index dataaccording to the processed original data; obtaining a score of a resource applicant according to the index data; performing rating mapping based on the score of the resource applicant to obtain the rating result of the resource applicant; and calculating a resource allocation result based on the rating result of the resource applicant, and outputting the resource allocation result to a resource allocation party, so that the resource allocation party performs resource allocation based on the resource allocation result. The obtained resource allocation result is more comprehensive and objective, the accuracy is higher, and the decision period is greatly shortened, so that the resource application period is greatly shortened.

The invention discloses a city traffic signal optimization control method and belongs to the field of automatic control. The method comprises the following steps: 1, selecting a control scheme, and defining traffic states, an instantaneous crossing income and control motion; 2, a sampling phase employs induction control, and at each sampling time, sending images shot by traffic pick-up heads and phases to a servers; 3, the server extracting the traffic states from the images and calculating the instantaneous crossing income; 4, the server calculating the probability that each discrete traffic state occurs and the crossing income, obtaining an optimal control policy by maximizing an average crossing income and sending the policy to a crossing machine; 5, the crossing machine setting that a control policy of a traffic signal controller is the policy obtained in the fourth step, and setting that a decision period is equal to a sampling period; and 6, the traffic signal controller obtaining the discrete traffic states from the crossing machine, querying the control policy, and sending the control motion to the crossing machine for execution. According to the invention, the average performance index of crossing traffic in a quite long time period can be improved.

The invention discloses an energy strategy management intelligent system adopting multi-object overall optimization. The system comprises a big data collector, a data processor, a subsystem object and constraint generator, an object and constraint screening module, a large system global optimization solving module, a technical and economic evaluation module, and an energy prediction early warning system. The system provided by the invention is based on ideas of the system theory, regards energy, economy, environment, society and technology as a large system, and utilizes the multi-object overall optimization technology, so that integral body, dynamic and non-linear issues planned in the energy-economic system engineering are tackled, the planning and decision-making period is effectively shortened, the coordination cost is reduced, the decision-making process is enabled to be more objective, transparent, stable and reliable, and the system has advantages of being comprehensive, precise, flexible and easy to operate and becomes a new tool for carrying out strategic plans in energy engineering management.

The invention discloses a dual-pressure transmitter redundancy design algorithm based on air pressure prediction. The dual-pressure transmitter redundancy design algorithm comprises a pressure judgment algorithm, an air pressure prediction algorithm and a pressure decision algorithm. According to the pressure judgment algorithm, the output pressure of the two sets of pressure transmitters is collected for multiple times in a decision-making period. Then, pressure range judgment, pressure trend judgment, multi-point average operation and effective pressure point number judgment are carried out for judging whether the pressure acquired by the pressure transmitter is effective or not, and effective pressure values P1 and P2 are given out; according to the air pressure prediction algorithm, a predicted pressure value Py after a decision period is calculated according to the received inflation time tc, the accumulated exhaust time tp, the inflation amount and the exhaust amount; according to the pressure decision algorithm, effective pressure values P1 and P2 output by the pressure judgment algorithm and a predicted pressure value Py output by the air pressure prediction algorithm are received, and system decision pressure P is output; compared with a traditional air pressure control method, the algorithm adopts two sets of pressure transmitters to test pressure in a redundant mode, and the test precision and reliability can be greatly improved.

The invention provides an air combat maneuver decision-making method and device, and the method comprises the steps: constructing an aircraft air combat model according to the actual performance limiting factors of an aircraft; respectively setting different decision periods for different aircraft states according to the dynamic response time of the aircraft states under the control of a flight control system; according to the aircraft states after the decision period is set, determining target air combat maneuvering instructions corresponding to different aircraft states; and according to the target air combat maneuvering instruction and the aircraft air combat model, performing an air combat maneuvering decision on the aircraft, wherein the aircraft states comprise the height, the course angle and the speed. According to the air combat maneuver decision-making method and device, different decision-making periods are set for maneuver decisions of different aircraft states through the dynamic response characteristics of different aircraft states under the control system, the contradiction between the real-time performance and the accuracy of air combat maneuver decision-making can be effectively relieved, and rapid and efficient air combat maneuver decision making is realized.