435 results about "Decision control" patented technology

A method and system for energy management in a simultaneous multi-threaded (SMT) processing system including per-thread device usage monitoring provides control of energy usage that accommodates thread parallelism. Per-device usage information is measured and stored on a per-thread basis, so that upon a context switch, the previous usage evaluation state can be restored. The per-thread usage information is used to adjust the thresholds of device energy management decision control logic, so that energy use can be managed with consideration as to which threads will be running in a given execution slice. A device controller can then provide for per-thread control of attached device power management states without intervention by the processor and without losing the historical evaluation state when a process is switched out. The device controller may be a memory controller and the controlled devices memory modules or banks within modules if individual banks can be power-managed. Local thresholds provide the decision-making mechanism for each controlled device and are adjusted by the operating system in conformity with the measured usage level for threads executing within the processing system. The per-thread usage information may be obtained from a performance monitoring unit that is located within or external to the device controller and the usage monitoring state is then retrieved and replaced by the operating system at each context switch.

A centralized irrigation system provides decision-making or non-decision-making controllers in combination with a client server architecture that employs range-based irrigation algorithms for monitoring and control. Range-based control strategies determine a total volumetric water holding capacity for a volume of soil and a range of desirable soil moisture in a root zone, and compare a calculated root zone soil moisture to that range in order to determine the volume of water to be applied during an irrigation event. The system permits a shared-savings business model where the vendor provides a system and the customer only pays the vendor a portion of the savings obtained by using the system.

net-metering in a power distribution system that includes a DRG system that is capable of providing power to a local load, an electric utility, and one or more batteries for storage, where net-metering is carried out iteratively during operation of the power distribution system and includes: creating, by a decision control engine, a local load and generation profile for a predefined period of time; deciding, by the decision control engine in accordance with revenue optimizing decision criteria and in dependence upon the local load and generation profile, present and projected utility power purchase prices, and a present state of charge of the batteries, whether to sell or store locally generated power; providing locally generated power to the electric utility if the decision control engine decides to sell locally generated power; and charging batteries with locally generated power if the decision control engine decides to store locally generated power.

The invention discloses a digital twin intelligent monitoring system and method for an unmanned fully mechanized coal mining face of a mine. The system for realizing the method is composed of a physical entity, a digital twin body, an intelligent gateway, a cloud server, a cloud database, a 5G base station, a machine vision device, a communication interface, a network switch and a video terminal.According to the method, a digital twin model is constructed, and perception analysis, analogue simulation, iterative optimization and decision control are carried out by using a convolutional networkdeep learning algorithm based on a three-dimensional visual virtual scene; real-time monitoring, intelligent sensing, accurate positioning and health prediction of the remote physical space mine unmanned fully mechanized coal mining face are achieved through the virtual space digital twin unmanned fully mechanized coal mining face based on data twinning and data driving. The problems of non-uniform communication interfaces, weak equipment integration capability, poor video monitoring image processing real-time performance and the like of the existing monitoring system are solved, and the real-time performance, the accuracy and the robustness of the intelligent monitoring system for the unmanned fully mechanized coal mining face of the mine are improved.

A method for using and interacting with mathematical or algorithmic business system transfer functions in support of a business information, analysis, decisioning and control system. The method includes developing at least one high-level business system view wherein the transfer function is configured to quantitatively express the business system view; identifying a number of input parameters associated with one or more of the resources used in the business process, identifying at least one output parameter associated with the operation of the business process; collecting operational data that associate the number of input parameters with the at least one output parameter based on an actual operation of the business process. The method also includes a primary display layer that presents a control scenario for a testbed environment for the business information and decisioning control system.

The invention discloses a power grid power supply guarantee and intelligent management and control system based on ubiquitous power Internet of things, wherein, the system comprises a data acquisitioncomponent which is used for acquiring various power grid data of a plurality of different devices of a power grid, wherein the data acquisition component comprises various sensors and the like whichare arranged on the power grid and used for acquiring the power grid data; a data analysis component is used for carrying out statistical analysis on the collected power grid data through the intelligent distribution transformer terminal to obtain an analysis result; and a decision control component is used for controlling the power grid through the deep learning network according to the analysisresult. The power grid power supply guarantee and intelligent management and control system based on ubiquitous power Internet of things solves the technical problems that a plurality of sets of electric systems in the related technology cannot share, the acquired data is less, and real-time feedback cannot be realized.

The invention discloses a vehicle cooperative formation driving system, belonging to the field of vehicle network-connected automatic driving. The vehicle cooperative formation driving system comprises a network layer, a link layer, a coordination layer, a control layer and a physical layer from top to bottom; wherein a vehicular unit in the network layer is communicated with a wireless router inthe link layer through a wireless network; the wireless router is communicated with a central service unit CSU and a road side unit RSU respectively through Ethernet; and the ZeroMQ communication is adopted by the central service unit CSU and the road side unit RSU. The vehicle cooperative formation driving system adds low cost vehicular sensors such as vision and millimeter wave radars, and integrates perception fusion, path planning and decision control into a same software architecture, so as to integrate vehicle road environment information, and achieve reliable vehicle formation driving function through high precision controllers; the vehicle cooperative formation driving system is in line with the development trend of the network-connected vehicle formation driving, which is highly modular and easy to expand function; and the decentralized following strategy can reduce the impact of network communication uncertainty.

The invention belongs to the field of networking automatic driving of vehicles, and discloses a cooperative vehicle formation driving method and a cooperative vehicle formation driving system. Sensinginformation of vehicles and absolute position information of the vehicles are captured for sensing fusion, path planning and decision-making control, and road environment information of the vehiclesis integrated to implement formation converging, following, quitting, parking and cooperative lane changing co-driving strategies for the vehicles. According to the method and the system, connection of all modules and direct communication between the modules are implemented in a 5G (5th-generation) manner, meanwhile, low-cost vehicle-mounted sensors such as a visual sensor and a millimeter wave radar are additionally arranged, sensing fusion, path planning and decision-making control are integrated into the same software architecture, the road environment information of the vehicles is integrated, and a reliable vehicle formation driving function is realized by a high-accuracy controller. The system is consistent with the development trend of networking vehicle formation driving, high in modulation degree and easy to functionally extend, and by a decentralized following strategy, the influence of uncertainties of network communication can be reduced.

The invention provides a CPS architecture oriented to intelligent cotton spinning production. The CPS architecture includes a sensing entity layer, a connection communication layer, a knowledge fusion layer, and a decision control layer. The sensing entity layer senses each entity of a physical world. The connection communication layer transmits the data of all entities in the physical world to an information world. The knowledge fusion layer fuses all resources required by a cotton spinning production cycle and the big data of an environment, analyzes and establishes a digital twin model. The decision control layer, by mining reliable data, forms knowledge based on cotton production, determines a variety of control decision, and commands the various entities of the physical world to work together. The CPS architecture takes the data of the whole process of cotton spinning production as a main line, takes the intelligent sensing as a core, uses the network and massive calculation as a basis, deeply integrates the calculation, communication and control, and realizes the intelligentization of the cotton spinning production process, and provides theoretical support for aspects of high-efficiently configuring various resources, optimizing a production process and improving production efficiency.

A system for the determination of the percentage of area of a parcel of land available for development or preservation which comprises at least one privately gathered data base having at least one file relating to at least one geographic area and its privately gathered corresponding map, physical, geographic, geologic, edaphic, and flora parameters present in and relating to said geographic area; a Software Decision Control Framework connected to the privately gathered data base; a Geographic Information System connected to and interacting with both the Software Decision Control Framework and the privately gathered data base; a network connected and interfaced to the Software Decision Control Framework and at least one data base interfaced with the network, the data base comprising physical, geographic, geologic, edaphic and flora parameters present in and relating to various geographic areas worldwide, whereby the Software Decision Control Framework interacts with the privately gathered data base, the Geographic Information System, the network and the database to provide an evaluation report which identifies, quantifies and establishes the percentage of area of the parcel of land for development and preservation in conformance to local, federal and state land use regulations and non-governmental land use policies.

A running safety monitor system for car is composed of a car-carried digital image information acquiring unit with a built-in digital camera, and a car-carried embedded computer platform with a systematic image processing and decision control unit. Its monitor method includes such steps as acquiring the real-time image of ambient environment, generating digital image information, processing and analyzing the image information, classifying, and alarming when the signal class reaches an alarm standard.

The invention relates to a device for preventing faulty operation for using an accelerator as a brake by mistake based on computer vision, which comprises a vision sensor, an embedded system, a vehicle speed measuring unit, a vehicle driving angle measuring unit, a distance measuring unit, a voice alarm unit, an accelerator control unit, a brake control unit and a power supply unit, wherein the embedded system is used for reading the information of driving speed of a vehicle, a vehicle steering wheel angle, a video image of a front road of the vehicle, and the like, estimating a barrier distance on the front road and calculating a driving risk factor and driving risk change tendency according to the barrier distance, the vehicle steering wheel angle and the speed of the vehicle. The invention makes a corresponding driving decision according to the driving risk factor and the driving risk change tendency, controls the voice alarm unit to produce drive warning sound according to the driving decision, controls the accelerator control unit to allow the action effectiveness of stepping the accelerator by a driver and controls the brake control unit to control the automatic brake of the vehicle.

The invention relates to an automatic driving automobile intelligent road system, which comprises an equipment layer, an edge computing layer and a cloud computing layer. An intelligent driving automobile of the equipment layer intelligently sends acquired related information to the edge computing layer. The edge computing layer comprises a plurality of roadside units arranged along a road. Each roadside unit comprises an edge computing server, and the edge computing server performs data distribution processing on received information to generate a first data packet and a second data packet, locally stores the first data packet and uploads the second data packet to the cloud computing layer. The cloud computing layer comprises a cloud server. The cloud server performs macroscopic data processing according to the second data packet to generate a global road planning and macroscopic traffic scheduling instruction, and sends the global road planning and macroscopic traffic scheduling instruction to an edge computing layer, so that the edge computing server generates the regional traffic planning auxiliary instruction and sends the regional traffic planning auxiliary instruction to theintelligent driving automobile, the intelligent driving automobile generates an automatic driving control strategy, automobile-road coordination is fused, and the automobile perception decision control capability is improved.

A centralized irrigation system provides non-decision-making controllers in combination with a client server architecture that employs irrigation algorithms for monitoring and control. Live feedback means send information back to a server for use with sophisticated modeling capabilities to monitor exceptions to a planned control scheme, adjust control parameters, and provide a real-time update to system performance. This feedback is instantaneously routed from the server to monitoring and feedback client software connected to the server through a network and enables volume-based cycles and soaks of irrigation. Range-based control strategies determine a total volumetric water-holding capacity for a volume of soil and a range of desirable soil moisture. The system permits a shared-savings business model where the vendor provides a system and the customer only pays the vendor a portion of the savings obtained by using the system. It further permits rapidly deploying improved control systems to save water for a community.

A method and system for energy management in a simultaneous multi-threaded (SMT) processing system including per-thread device usage monitoring provides control of energy usage that accommodates thread parallelism. Per-device usage information is measured and stored on a per-thread basis, so that upon a context switch, the previous usage evaluation state can be restored. The per-thread usage information is used to adjust the thresholds of device energy management decision control logic, so that energy use can be managed with consideration as to which threads will be running in a given execution slice. A device controller can then provide for per-thread control of attached device power management states without intervention by the processor and without losing the historical evaluation state when a process is switched out. The device controller may be a memory controller and the controlled devices memory modules or banks within modules if individual banks can be power-managed. Local thresholds provide the decision-making mechanism for each controlled device and are adjusted by the operating system in conformity with the measured usage level for threads executing within the processing system. The per-thread usage information may be obtained from a performance monitoring unit that is located within or external to the device controller and the usage monitoring state is then retrieved and replaced by the operating system at each context switch.

The invention relates to a fish streaming based non-signal intersection vehicle-vehicle cooperation control system and belongs to the field of vehicle control. A sensing positioning module of the system comprises an environment sensing portion and a navigation positioning portion and specifically comprises a DGPS positioning device, an inertial navigation system, a radar device and a sensor. A motion control module comprises a motion controller, a driver, an actuator, a transmission part and a controlled part. A wireless communication module consists of a transmitting-receiving device. A human-computer interaction interface comprises a processor, a display unit, an input unit, a communication interface and a data storage unit. A power management and control module comprises a storage battery and a level conversion unit. A route planning module adopts global route planning and is provided with an electronic map. A decision control module comprises a central processing unit, an information processing unit and a storage unit. Compared with the prior art, the fish streaming based non-signal intersection vehicle-vehicle cooperation control system has the advantages of being used for an unmanned vehicle, being provided with a wireless communication module and being high in active safety and road utilization rate.

The invention discloses a no-signal intersection vehicle intelligent cooperative passage method based on a CPS (Cyber-Physical System), aiming to overcome the shortcomings of green light zero passage and low passage efficiency caused by fixed traffic light time control, and lack of information interaction among vehicles in the intersection passage management of prior art. Based on the deep fusion of the 3C (computing, communication and control) technology in a CPS, and supported by the GPS technology, vehicle-vehicle communication technology and speed intelligent control technology, the method is provided and comprises three steps of vehicle passage data acquisition, information processing and communication, and decision control; vehicles close to an intersection continuously obtain the passage information of local vehicles, and perform communication interaction with vehicles in other directions so as to percept surrounding environments in real time, and on the basis, the method performs dynamic decision making and control, i.e., the method analyzes whether the local vehicles and other vehicles exist potential bump risks according to the passage information of surrounding vehicles, cuts the risks, considers vehicle passage priorities, controls speeds and ensures vehicle safe and efficient passage.

The invention discloses a petrochemical unattended loading and unloading line digital twinning intelligent monitoring system. The system comprises a physical entity, a digital twinning body, an intelligent gateway, a cloud server, a network switch and a client interaction terminal. A digital twinning model is established according to an actual petrochemical loading and unloading line, a loading and unloading line digital twinning body is constructed, the twinning body acquires equipment operation state and process real-time data through an intelligent gateway, twinning data are updated through data fusion, and perception analysis, iterative optimization and decision control are performed by adopting a neural network deep learning algorithm. And meanwhile, the equipment operation state is monitored in real time based on the digital twinning model, parameter control optimization is conducted on loading and unloading operation, and fault prediction and maintenance are conducted on the whole loading and unloading line. The problems that an existing loading and unloading line is low in efficiency, low in visualization degree, poor in man-machine interaction capacity, weak in equipment coordination capacity and the like are solved, and the monitoring real-time performance, the operation efficiency and the equipment safety of the loading and unloading line are improved.

The invention relates to a crop growth irrigation decision-making control system comprising a crop database, a soil database, a meteorological database, an irrigation volume database, and an achievement database. Crop parameter data from the crop database, soil parameter data from the soil database, and meteorological data from the meteorological database are initialized by a crop growth mathematical model of the decision-making control system; with combination of irrigation volume data from the irrigation volume database, the crop growth mathematical model carries out state calculation; the decision-making control system makes an irrigation decision based on the irrigation decision-making model; and the irrigation decision-making effect is fed back based on daily data output provided by the achievement database; and the irrigation decision is adjusted based on the evaluation result.

A driving control system mounted in a vehicle receives multiple pieces of information through a status detection module and a vehicle safety determination module thereof, performs a safety and collision analysis to predict whether a driving danger exists, when a driving danger exists, instructs an emergency control module to calculate an optimal barrier-avoiding path and send a corresponding control signal to a vehicle control module, and when no driving danger exists, instructs a normal control module to perform an adaptive algorithm according to different road conditions and driver's behavior information and send a control signal to the vehicle control module. Accordingly, the driving control system can instantly plan a barrier-avoiding path according the degree of emergency and collision danger to achieve the goal of enhancing safety and stability of the vehicle and driver in driving.

A method, system, and program for minimizing complex decisions to allocate additional resources to a job submitted to a grid environment are provided. First, at least one decision to allocate additional resources to at least one previously submitted job is stored in a decision cache, wherein said the least one decision is stored according to at least one characteristic of the at least one previously submitted job. When another job is submitted to the grid environment needs additional resources, the characteristic of the currently submitted job is compared with the characteristics of previous submitted jobs. If there is a match, then the previously made decision associated with the matching characteristic controls allocation of additional resources for the currently submitted job, such that complex decision making for allocation of additional resources is minimized by reusing previously stored decisions to allocate additional resources.

The invention relates to an intelligent irrigation fertilization decision-making control system, comprising an input unit, an output unit, a data acquisition unit and an irrigation control unit, wherein, a decision-making analysis unit arranged in a decision control database receives the data from the input unit and exchanges data with a privilege unit after processing the received data, and then exchanges data with a fuzzy reasoning unit which also receives output data of a data management unit; after performing logical judgment and processing according to the received data, the fuzzy reasoning unit outputs the data to a control management unit; a sensor of the data acquisition unit acquires and transfers the soil humidity data to the data management unit; a controller of the irrigation control unit receives the data from the control management unit, and transfers the data to a switching quantity output module after processing, and the switching quantity output module transfers the data to a solenoid valve. The intelligent irrigation fertilization decision-making control system has the advantages that: crop physiological water demand indicators are introduced into the computer automatic control field, the irrigation fertilization decision-making is carried out through an irrigation indicator database and the fuzzy classification technology.

The invention discloses a digital twinning intelligent monitoring system for an unmanned fully mechanized excavation face of a mine. The system is composed of a physical entity, a digital twinning body, an intrinsic safety type intelligent gateway, a cloud server, a cloud database, an intrinsic safety type 5G base station, a machine vision device, a communication interface, a network switch and avideo display terminal. According to the method, a digital twinning model is constructed, and perception analysis, analogue simulation, iterative optimization and decision control are carried out by utilizing a deep learning algorithm based on machine vision and edge calculation; based on data twinning and data driving, real-time monitoring, intelligent sensing, accurate positioning and health prediction of the remote physical space mine unmanned fully mechanized excavation face are achieved through the virtual space digital twinning unmanned fully mechanized excavation face. According to theinvention, the problems of non-uniform communication interfaces, weak equipment integration capability, poor video monitoring real-time performance, fuzzy video images and the like of the existing monitoring system are solved, and the real-time performance, accuracy and robustness of the intelligent monitoring system for the unmanned fully mechanized excavation face of the mine are improved.

The invention belongs to the technical field of automobile advanced auxiliary driving and unmanned driving system design and relates to a parameterized learning decision control system suitable for lane changing and lane keeping behaviors and a method. The parameterized learning decision control system suitable for the lane changing and lane keeping behaviors of the invention is designed based ona parameterized decision framework; the system comprises a learning decision-making method and a track planning controller, wherein the learning decision-making method is designed under the lane changing and lane keeping scene of a vehicle on the basis of a reinforcement learning algorithm, and the track planning controller can be correspondingly parameterized under the scene so as to adapt to straight road and bend road planning. The system is suitable for a high-level automatic driving vehicle; the adaptability of the system to the different driving behavior characteristics of different drivers is effectively improved through online learning; and therefore, the system obtains better driving performance with safety guaranteed.

In a service method by granting authorization before authentication, a service processing unit receives a service request that includes authentication information, and provides corresponding service. An authentication unit is used to authenticate the authentication information of the service request. A decision control unit is used to determine whether the service request calls for a service that allows pre-authorization. If affirmative, the decision control unit commands the service processing unit to first provide a partial service, simultaneously commands the authentication unit to authenticate the authentication information, and commands the service processing unit to further provide subsequent service upon successful authentication, and to stop the partial service and reject the service request if otherwise. Hence, under the condition that service security is not affected, authentication waiting time is shortened so as to achieve the effect of a faster response to providing service.

Ink type information is read by a read and write system (b 62) from a semiconductor storage system mounted on ink cartridges (9a to 9d) attached to a cartridge holder (8). A decision control system (61) decides whether or not ink type information has already been stored in ink type storage system (63), and stores the ink type information thus read when the ink type information is not stored. In the case in which the ink cartridge is exchanged, the ink type information is similarly read and it is decided whether or not the same ink type information is identical to the ink type information stored in the ink type storage system (63). If they are not identical to each other, the operation of the recording apparatus is inhibited and a display system (68) is caused to display an error message thereon. (FIG. 5)

The invention discloses a management method for automatic-driving vehicle-mounted computing resources, and relates to the technical field of automatic driving. The management method includes the stepsthat hardware resources of a vehicle-mounted computing unit are uniformly managed with the container technology, and according to a real-time-collection data processing task and an automatic-drivingintelligent decision control task of a core sensor, physical hardware resources are dynamically distributed, and multiple container running environments mutually isolated are generated to independently execute the tasks of the container running environments; resources are dynamically adjusted according to the actual running condition, and intelligent cooperation of all automatic-driving business applications is achieved; multiple container management strategies are obtained through resource reservation, resource constraints and resource robbing, and safe driving of automatic-driving vehicles is completed. According to the management method, it is guaranteed that the execution environment of a computing task is isolated, the using rate of computing resources is increased, and hardware energy consumption is effectively reduced; compared with a single-host mode, risk brought by a single-host fault is reduced, and the whole safety of automatic driving is improved. The invention also provides a management system for the automatic-driving vehicle-mounted computing resources.

The invention discloses a transportation device based on a robot vision system and an independent tracking system. The transportation device comprises a transportation vehicle body, wherein a control system, an initial target information storage system, a vision recognition system, a decision control system and an independent tracking system are arranged on the transportation vehicle body; the initial target information storage system, the vision recognition system, the decision control system and the independent tracking system are respectively connected with the control system; the initial target information storage system is used for storing the human body feature information of an initial target and setting a luggage taking code or a sensing signal; the vision recognition system is used for processing the extracted image information; the decision control system is used for tracking and judging the initial target, optimizing the path, generating a control instruction and issuing the control instruction to the independent tracking system; the independent tracking system is used for performing differential speed regulation on wheels of the transportation vehicle body and driving the transportation vehicle body to implement tracking on a target. The transportation device has the advantages that the vision recognition is used for locking the position of a target object and the self body, the decision control is realized through a genetic PID (proportion integration differentiation) algorithm, a moving mechanism is executed to complete the tracking on the target object, and the goal of closely following passengers is achieved.

The invention discloses an information processing method, mobile electronic equipment and decision-making control equipment. The method is applied to mobile electronic equipment in an information processing system at least comprising decision-making control equipment and the mobile electronic equipment. The method is used for providing navigation information for the mobile electronic equipment moving in an unknown environment, and comprises steps of receiving a first decision-making control command from the decision-making control equipment, carrying out navigation on the mobile electronic equipment according to the first decision-making control command to make the mobile electronic equipment move in the unknown environment, executing environment detection operation, sending the environment detection operation result to the decision-making control equipment for enabling the decision-making control equipment to generate a second decision-making control command, receiving the second decision-making control command from the decision-making control command, and carrying out navigation on the mobile electronic equipment according to the second decision-making control command. Thus, various problems existing in the multi-robot cooperative decision -making mechanism can be solved.

Discloses a system for the automatic classification of electronic documents that are candidates to become an official record. A training data set of documents, each document having a pre-assigned records classification instance, is processed by a classification agent operating in training mode to establish a probabilistic relationship between each classification instance and the contents of a document. The training data set includes at least several documents per classification instance. A trained classification agent operating in evaluation or classification mode receives a candidate document and produces a result. A decision control table contains user specified contiguous result ranges to select one document processing action from a list of document processing actions based on the result produced by the trained classification agent. The list of document processing actions includes further automatic document processing to assign a classification or providing user input capability to enable human intervention and control to classify the candidate document and result in the candidate document being combined with appropriate metadata, and a file plan classification to become an official record.