605 results about "Operation model" patented technology

A system and method for creating and managing a business process integration solution comprises modeling a business strategy including elements representing business measurements and initiatives according to defined business goals and objectives of an entity; modeling business operations of the entity in terms of business process elements including process tasks, artifact flows and artifact repositories, and business commitment elements including incorporating key performance indicators; mapping elements of the strategy model with artifact and process elements of the operations model; and, measuring business performance and comparing performance measurements against the key performance indicators. The business strategy and operation model process elements may be continuously refined over a solution development lifecycle as a result of process measurements and comparing. A business level modeling language is further implemented for formally representing the business operations.

A system and method for displaying an esophageal operation includes a display device, an interface capable of receiving esophageal impedance and pressure measurements, and a processing system in communication with the display device, the interface, and an esophageal operation model. The processing system is configured to receive a plurality of impedance values from a first plurality of spaced-apart esophageal locations, receive a plurality of pressure values from a second plurality of spaced-apart esophageal locations, process the plurality of impedance values and the plurality of pressure values with the esophageal operation model, display the plurality of impedance values on the display device as a bolus transit, and display the plurality of pressure values on the display device as operational esophagus movement.

The invention relates to a traffic control method and system based on an intersection group.The method comprises the steps that 1, 360-degree panoramic video of intersections is dynamically collected in real time through an intelligent robot, an intersection operation model is established according to video data, and traffic characteristics of the intersection group are analyzed according to the intersection operation model; 2, intersection index evaluation and online simulation analysis are conducted according to the traffic characteristics, and the traffic operation state of the intersection group is identified; 3, supersaturation state intersection signal timing control scheme optimization is conducted on critical paths of a supersaturation state intersection group, and a supersaturation state intersection group traffic signal control strategy is adjusted; 4, the adjusted intersection group traffic signal control strategy is operated, and steady-state operation of an intersection control signal timing optimization scheme and linkage command of the intelligent robot are achieved.By means of the traffic control method and system based on the intersection group, traffic efficiency and service level of intersection single point control can be improved, and therefore the operation efficiency of an urban traffic system is greatly improved, and urban traffic jams are relieved.

A method and system of designing the operations and controls of a gas turbine, includes generating an operations model for the gas turbine including at least one objective function and defining operations and control constraints for the operations model of the gas turbine. An online dynamic optimizer/controller dynamically optimizes and controls operation of the gas turbine using model based control based on the operations model and the operations and control constraints. The model based control may include model predictive control.

A method and apparatus for designing an optimal IS architecture of a business entity is disclosed. In different levels of abstraction, a business operations model, an applications model, a physical requirements model and technical infrastructure model are produced. The models in a stepwise manner generate an IS architecture meeting desired performance criteria of the business entity. An optimizer evaluates, in a numerical manner, implementations of the IS architecture and design alternatives such that an optimal IS architecture is determined. Subsequent continual refinement of the IS architecture is achieved by remodeling the physical requirements and the technical infrastructure, and by evaluating through the optimizer the then produced IS architecture.

A system and method for accessing a data cache having at least two ways for storing data at the same addresses. A first and second tag memory store first and second sets of tags identifying data stored in each of the ways. A translation device determines from a system address a tag identifying one of the ways. A first comparator compares tags in the address with a tag stored in the first tag memory. A second comparator compares a tag in the address with a tag stored in the second tag memory. A clock signal supplies clock signals to one or both of the ways in response to an access mode signal. The system can be operated so that either both ways of the associative data cache are clocked, in a high speed access mode, or it can apply clock signals to only one of the ways selected by an output from the first and second comparators in a power efficient mode of operation.

The invention discloses a power-saving method of an image capture device, which is applied to an image capture device with a flash lamp, and comprises the following steps: storing a first exposure travel table and a second exposure travel table in the image capture device; under a normal mode, shooting according to the first exposure travel table by the image capture device; and under a power-saving mode, shooting according to the second exposure travel table by the image capture device, wherein the first exposure travel table has a first shutter speed for correspondingly opening the flash lamp, the second exposure travel table has a second shutter speed for correspondingly opening the flash lamp, and the first shutter speed is faster than the second shutter speed. According to the operation mode of the image capture device, the exposure travel table of the image capture device can be adjusted by the method correspondingly, thus prolonging the service time of the image capture device.

In a large-scale plant such as a power plant, a graphical user interface device displays a target data display screen without increasing a load of searching a screen or a load of grasping a screen transition link. An operation model-creating device reads operation manual data for operation estimation and operation history data from an operation manual managing device and an operation history managing device to create a number of pieces of manual procedure template data for each accident type. An operation predicting device selects the operation procedure template data having same conditions of immediately preceding operation history data obtained from the plant monitoring and control device to predict the next operation estimated to be performed by an operator from the selected operation procedure template data. The plant monitoring and control device displays a system recommended operation button on a monitoring screen thereof based on data of the predicted results.

The invention discloses a reactive optimization method for a distribution network. The method comprises the following steps: firstly, building an actual operation model of the distribution network, then conducting load flow calculation, analyzing the voltage quality, applying a reactive optimization administrative tool to formulate a reactive optimization scheme, adopting the simulated analysis method to examine and regulate the appointed optimization scheme, and finally achieving reactive optimization of the distribution network according to the regulated reactive optimization scheme. The invention also discloses a reactive voltage optimization system for the distribution network, which corresponds to the method. The method and the system solve the difficult reactive optimization problem of the distribution network and provide theoretical foundation and decision support for planning, operation, reconstruction and management of the whole distribution network.

The invention provides an implementing method of an integrated power grid dispatching operation intelligent mistaken-early-warning preventing system. The implementing method comprises the following steps that various information and computing resources required by an operation ticket system in an EMS system of a dispatching center are packaged into standardized service; the operation ticket system is integrated a DMIS system of the dispatching center, and a graphic platform is built according to the CIM and SVG standard; an intelligent ticket-making expert rule base based on an operation model is built, and a safe mistake preventing system based on operation term analysis and comprehensive instruction analysis is built. The implementing method has the advantages of having little influence on the EMS system, being beneficial for popularization and the like, and can improve billing efficiency and circulation speed of dispatching operation tickets. During equipment maintaining peaks in spring and autumn, equipment operation safety is guaranteed, rapidness of equipment operation is guaranteed, work efficiency and the production and management level of the power grid are improved, prevention of large-area power outage accidents is facilitated, and safe production of an electric power company is guaranteed.

The invention provides a new mobile communication data traffic charging mode and relates to a user mobile terminal access mobile internet, various services on a communication network are used and charging modes of various contents are obtained, referring to the operation model of a content provider; the invention provides a charging mode that the flow fee of the data traffic in the communication network can be co-paid by mobile terminal users, mobile internet portals, application service provider, media, entertainment company and other content providers (CP/SP) or is independently paid by the content providers; the invention can improve the data traffic using activity of the terminal users, promote the increasing of the mobile data traffic, improve the popularizing rate of the mobile internet and accelerate the arrival of the mobile internet and the mobile IP times.

The software operation modeling device includes a function call order obtaining unit and a model generator. The function call order obtaining unit obtains or estimates an issuing order of function calls executed in each of specific events in the course of executing software. The model generator statistically grasps a co-occurrence relationship between the specific event and the issuing order of the function calls obtained or estimated by the function call order obtaining unit, and to record the grasped co-occurrence relationship as an operation model of the software.

An embodiment of the invention discloses an automobile driving behavior detection method and an apparatus thereof, and an automobile. The method comprises the following steps of according to an association relation among a plurality of operation characteristic parameters of the automobile, establishing an automobile operation model; collecting values of the plurality of operation characteristic parameters to train the automobile operation model so as to acquire an automobile operation prediction model, collecting driving behavior data and acquiring a predicted value of a first operation characteristic parameter corresponding to the driving behavior data; and according to the driving behavior data and the predicted value of the first operation characteristic parameter, carrying out driving behavior detection. By using the detection method and the apparatus thereof, and the automobile, based on a neural network, the automobile operation model is established; through machine learning, the automobile operation model is trained so as to acquire the automobile operation prediction model; whether a predicted value acquired through the automobile operation prediction model matches with the driving behavior data is determined; whether an abnormal driving condition is generated is determined; driving safety is increased, automobile accident generation is reduced and a life and property safety of a driver are effectively protected.

A spinal fusion surgery instrument for implanting and an intervertebral cage thereof are provided. The spinal fusion surgery instrument includes a body, a gripper subassembly, a first control subassembly, and a second control subassembly. The first control subassembly is provided to generate a displacement between a first connecting member and a second connecting member of the gripper subassembly to change the angle of gripper of the intervertebral cage. The second control subassembly is provided to enable a first gripping member and a second gripping member of the gripper subassembly separating smoothly from the dowel pins of the intervertebral cage. By means of the operation model, the spinal fusion surgery instrument may be controlled easily, and the orientation of the intervertebral cage may be promoted in the process of the surgery.

The invention discloses a photovoltaic microgrid power equalization control method based on three-end cooperative control, and the method comprises the steps: A) judging the current operation mode of a photovoltaic microgrid according to a DC bus voltage value of hte photovoltaic microgrid, a DC bus rated voltage value, an energy storage unit SOC, a photovoltaic power supply output power, and AC load power; B) carrying out the cooperative control of the working conditions of a photovoltaic power supply, an energy storage device and a grid-connected inverter in the photovoltaic microgrid according to the current operation model of the photovoltaic microgrid; C) controlling the current operation mode of the photovoltaic microgrid to be switched to an adjacent operation mode when the corresponding operation conditions are met; D) and enabling the converted operation mode to be updated to the current operation mode of the photovoltaic microgrid; and then switching to the step B). The method can enable the photovoltaic microgrid to be quickly switched to the corresponding operation mode in a seamless manner, thereby quickly eliminating the operation deviation, balancing the flow of an internal energy of the microgrid, reducing impact on the operation of the microgrid from power fluctuation, maintaining the stability of the voltage of a DC bus of the microgrid, and achieving the dynamic balance of the internal power of the microgrid.

The invention discloses a capacity optimization and auxiliary peak regulation method for a regional wind power plant group energy storage power station. The method comprises the steps that 1, a BESS (battery energy storage station) composite function charging and discharging realizing method of wind power plant group power fluctuation stabilization and power network peak regulation is considered, and a capacity optimization calculating model is built by using the BESS operation cost minimization as a target; 2, the super-short-term wind power is utilized for predication, and a real-time optimization operation model is built by using the maximization of gains when the BESS synchronously participates in the power fluctuation stabilization and the power network peak regulation as a target; 3, the cost sharing and gain distribution mode and method of the BESS system operation are provided. Through the adoption of the technical scheme, an energy storage system with the configuration required by a regional wind power plant can be planned, the economic and reasonable energy storage capability is optimized and calculated, meanwhile, an prioritization scheme that the energy storage system participates in the power network peak regulation in an auxiliary way is provided, and the reasonable and efficient operation level of a regional wind field configuration energy storage system is improved.

Modelling a computer based business process having a number of functional steps, involves providing software candidate models (740) of the business process, each specifying the functional steps (750), an arrangement of software application components (770) for carrying out the functional steps, and a design of computing infrastructure (780), for running the software application components, to meet given non functional requirements, and suitable for automated deployment. For each of the candidate models, operation of the business process is simulated (730) according to the respective candidate model and their simulated operation is evaluated against the non-functional requirements. The simulation can help the search for a suitable or optimum deployment to be more efficient and can lead to more efficient usage of shared resources.

The invention provides a hypersonic speed guided missile multi-field coupling dynamics integrated simulation analysis method, which comprises the following steps of: establishing a coupled structural motion equation; improving an aerodynamic heating calculation method; improving an unsteady aerodynamics calculation method; establishing an integrated simulation analysis technique process; designing a relationship between an integrated simulation analysis operation model and data; and realizing an integrated simulation analysis system. Compared with the prior art, the aerodynamic heating calculation method and the unsteady aerodynamics calculation method are improved; various techniques of flutter analysis, thermal flutter analysis, pneumatic servo elastic analysis and thermal pneumatic servo elastic analysis are integrated; and an effective integration method for integrally solving and optimally designing a high-speed winged missile all-missile combination body coupling dynamics problem is provided.

An inventory forecasting model and its construction method based on chaotic neural network. The inventory of finished products is the key factor in precise distribution. If the inventory of finished products is sufficient, accurate delivery will be guaranteed, but the high inventory of finished products will bring a negative impact on the enterprise. The risk is high. On the one hand, it is difficult to process other materials after the original roll is processed into finished products. Once the user does not use it, it is likely to become a waste product. On the other hand, the finished product inventory takes up a large inventory space, which will make Limited storage capacity is getting tighter. The present invention divides the work into two phases. The first is the learning phase. The data of all the distribution users of the sample companies in the past three years are used as samples to establish a model, and these samples are used to learn and adjust the connection weight coefficients of the chaotic neural network, so that the network Realize the given input-output relationship; then the implementation stage, use the trained neural network to obtain the expected effect, establish a perfect calculation model, and realize the reasonable setting of the inventory.

The invention discloses a distributed operation mode and centralized operation mode integrated simulation system operation supporting platform based on components. The distributed operation mode and centralized operation mode integrated simulation system operation supporting platform based on the components comprises a simulation operation control module, a simulation model assembly management module, a simulation data distribution module, a simulation service module and a network service module. The network service module is achieved through an RTI API according with HLA norms, and whether the network service module is loaded or not is determined according to different operation modes. According to the platform, whether a distributed operation model or a centralized operation mode is adopted for the simulation system operation supporting platform can be flexibly determined according to loaded configuration files by the simulation operation control module; assembly models operating on the simulation system operation supporting platform are transparent to ensure that the simulation system operation supporting platform can provide integrated support for the distributed operation mode and the integrated operation mode. The distributed operation mode and centralized operation mode integrated simulation system operation supporting platform based on the components can be applied to componentized simulation systems operating in a distributed mode or a centralized mode, and can satisfy different distributed simulation systems of the HLA norms and different integrated simulation systems of non-HLA norms in the future.

The invention discloses a method for producing a human tissue simulated operation model and a guide plate. The method for producing the human tissue simulated operation model an the guide plate comprises the following steps that CT/MR data about a human tissue are gathered, cleaning up and rebuilding are conducted, exact cutting of model space position data is conducted, based on a grinding model of an operation spot, operational information is added, an operation guide plate model is produced by reversed engineering, the obtained grinding model and operation guide plate model are converted to layer-by-layer cross-section data, and the layer-by-layer cross-section data are introduced to a 3D printer to conduct printing. According to the method for producing the human tissue simulated operation model an the guide plate, the accurate combination of a medical model and the guide plate is obtained by 3D printing, accurate simulated operation can be conducted with low cost and high speed, and a pre-operation simulation plan is executed accurately according to a pre-operation guide plate, so that operational risks are reduced, time on the operation is shortened, operational effect is improved, and great practical value is possessed.

The invention discloses a multi-core parallel simulation engine system supporting joint operations. The system solves the problem that the real-time performance of a traditional joint operation system is easily influenced when step length is used to forward logic time. The system includes a model scheduling management module, a thread management module, an external interface management module and a high-level architecture (HLA) management module. According to the system, target nodes are assigned for simulation entities to enable total computation amounts of models on each node to be equivalent; then through the model scheduling management module, a scheduling schedule of each node is generated based on a principle of load balancing, the simulation step length is assigned for the models, and during a simulation process, the scheduling schedule is adjusted and the simulation step length of the destroyed entities and generated new entities is adjusted. The system can autonomously divide the scheduling schedule according to operating cycles of the models and the system step length, allow the entities to use the different physical models or the behavior models according to needs for simulation, and support real-time scheduling of large-scale simulation and the high-fidelity operation models.

The purpose of the present invention is to provide a machine diagnostic device that assists with sensor attachment such that malfunction sensing performance may be maintained even after maintenance of a device. The machine diagnostic device includes a sensor data acquisition part that acquires time-series sensor data that are measured by sensors that are attached to a machine that has one or more operating modes; a learning unit that statistically processes the sensor data prior to detachment of the sensors and computes a normal operation model; a malfunction diagnostic unit that diagnoses a malfunction of the machine on the basis of the sensor data and the normal operation model; and a sensor adjustment unit that, when the sensors are re-attached to the machine after the sensors have been detached therefrom, displays, in a display unit, as a sensor adjustment mode, discrepancies between the normal operation model prior to the detachment of the sensors and the post sensor attachment sensor data.

The invention relates to a reliability analysis method of an electric power system, specifically a wind power grid-connection system operational reliability evaluation method considering uncertainty factors, and solves the problems of incomplete consideration, long time consumption, slow convergence, resource occupation and incapability of realizing real-time prediction and evaluation of the existing method. A scheme comprises the processes as follows: I, uncertainty factor modeling: A, load comprehensive uncertainty; B, a conventional power generator comprehensive time varying operation model; C, comprehensive time varying operation modeling; D, wind power plant operational reliability modeling; and II, a Markov chain model: E, a Markov process and a Markov chain; F, a wind power Markov chain model; and G a wind power reliability evaluation index. The beneficial effects are achieved as follows: by performing quantitative analysis and comparison on the degree of influence of load fluctuation, element state and wind power output on the operational state and reliability level, the reliability level at the current moment can be evaluated, and the state probability at the future momentcan be quickly predicted, so that planning, overhaul, operation optimization and dispatching of the electric power system can be guided, thereby overcoming the shortcomings of the conventional evaluation method.