161 results about "Operating model" patented technology

An integrated automated management system for batch manufacturing of products, particularly pharmaceuticals. The system comprises: a distributed data with process related information, a design module which extracts information to build operating models for the manufacturing; a planning module which interacts with the data base and design module to provide the financial and scheduling aspects of the manufacturing, and an exploring module, interfaced with the data base and the other modules, in a closed operational loop to provide real time analysis of the operating model in comparison to actual manufacture to provide real time quality control

A system and method for controlling operation of a drilling rig having a control management system, comprises programming the control system with at least one resource module, the at least one resource module having at least one operating model having at least one set of programmed operating rules related to at least one set of operating parameters. In addition, the system and method provide an authenticating hierarchical access to at least one user to the at least one resource module.

System, method, signal, operating model, and computer program for conducting a meeting over an electronic network. The method comprises steps of providing the eligible participants with a notice of the upcoming meeting at an address to which they have consented to receiving such notices. The method further comprises secure communications during the meeting between the several eligible participants attending such meeting. Moreover, the method of the meeting over an electronic network of the present invention provides for secure voting by the several eligible participants attending the meeting in accordance with their respective voting rights.

A method for optimizing a fleet of generating assets in which groupings include remotely located power blocks that operate so to collectively generate a fleet output level. The method may include: receiving real-time and historical measured values of operating parameters; for each of the generating assets, deriving a relational expression between the measured values of the process inputs and the measured values of the process outputs; defining a selected operating period; selecting competing operating modes for the fleet; based on the relational expressions and a generating configuration of the competing operating modes, calculating a result set for the operation of the fleet proposed during the selected operating period; defining a cost function; and evaluating each of the result sets pursuant to the cost function and, based thereupon, designating one of the competing operating modes as an optimized operating mode. The optimized operating mode may include a power sharing recommendation between the power blocks of the fleet.

The invention provides an international technology transfer public service system. The international technology transfer public service system comprises an international technology transfer and entrepreneurship incubation service subsystem and an international technical skill/service digit trading port subsystem; the international technology transfer and entrepreneurship incubation service subsystem comprises an innovation e station, an innovation demand library, a technology retrieval, a service hotline and an expert group; the international technical skill/service digit trading port subsystem comprises a high and new technology interactive exhibition system, a technical digital content manufacturing system, an industry technology mobile portal management system, an enterprise technology demand monitoring and intelligent docking system, a scientific technological incubation service purchasing system and a technology appraisement and technology appraiser training system. A digital exhibition room with multiple interactive modes on the basis of electronic data interchange (EDI) exchange terminals and the like can be established through an operating mode of combining a mobile internet and an offline innovation service platform, online offline combined technical skill (service) interactive exhibition, vertical searching, accurate pushing, expert cooperative consulting, scientific assessment and the like can be achieved, and difficulties and bottleneck problems such as difficult obtainment of technology supply-demand information, difficult value quantization and difficult transfer can be solved.

The invention relates to an application service management system and a management method based on a digital certificate. An authentication server issues certificates and corresponding certificate private keys for each user end and each application server, and each user end can access different application servers according to the certificate which is issued by the authentication server without logging in when accessing a new application server each time; in addition, after the authentication server validates the identities of the user end and the application server, the application server distributes the private keys for each user end and negotiates about service private keys of the communication between the application server and the user end through elements such as a main private key, and the like so as to establish a safe channel for the transmission of application service data and realize encrypted transmission of the application server data in the safe channel through the service private key. In the scheme of the invention, communication in the process of access and authentication among the user end, the application server and the authentication server is not needed to pass through an additional safe channel, thereby the invention improves and breaks through the management and the operation modes.

A method and an arrangement for the accurate, realistic automatic or semiautomatic control of track-guided toys, in particular electrically operated model railways and trains. Type- and/or geometry-specifying memory components, readable by non-contact, are disposed at or in each track, track piece, buffer, signal and/or switch that is to be included in the structure, such that each memory component and hence each track in addition exhibits an identification code that is not repeated within the series of such codes. Furthermore the rolling stock, preferably the locomotives, are equipped with a memory-reading device as well as a data-transmission device for revertive communication. After a first trip around the route, an electronic representation of the route configuration is available and can be preserved in a central memory. During subsequent trips around the route, the momentary position on the roadway or of the train is determined by reading memory components and revertive signalling to the central memory or a central control system, such that on the basis of prespecifiable tasks associated with operation of the railway, taking into account the route and velocity information as well as special functions, one or more machines are independently monitored and controlled.

The present invention provides an operating system for a deep neural network. The operating system comprises a master server, a plurality of center parameter servers and a plurality of calculation modules, wherein the calculation module comprises a local parameter server and a plurality of calculation elements. The present invention also provides an operating method for the operating system for the deep neural network. According to the operating system for the deep neural network and the operating method, by arranging the local parameter server, operating efficiency of the operating system is improved and network communication cost of the operating system is reduced.

The invention provides a telemarketing customer service system based on artificial intelligence and a business operation mode. According to records of various customer services and historical clients in a platform, a character model of every customer service and a character model of every historical client are generated based on emotion identification system. By adopting an artificial intelligence analysis technology, multidimensional analysis of every customer service, every task, and every client is carried out to generate the intelligent portrait of every customer service, the intelligent portrait of every task, and the intelligent portrait of every client are generated. The intelligent matching of the intelligent portrait of every customer service, the intelligent portrait of every task, and the intelligent portrait of every client is carried out according to a preset rule, and then a plurality of orders are generated, and accurate marketing among the customer services, the tasks, and the clients is realized, and therefore personalized service is provided for the clients. After the orders are finished, the intelligent vouching of the finished orders by adopting a speech recognition system and a preset vouching strategy, real-time quality inspection and real-time billing are realized, and finally, work load of workers is effectively reduced, vouching time is shortened, and the accuracy of the quality inspection is improved.

The invention discloses a system for online diagnosis and preventive maintenance of a container crane based on big data. The system comprises a crane equipment layer, a sensor layer, a network layer and a data service layer, wherein the data service layer is further divided into a data analysis and model layer, a data application layer and a business system layer; the crane equipment layer receives operating parameters of the crane; the sensor layer receives sensor signals of key parts of the crane; the network layer transmits the operating parameters and the sensor signals to the data service layer; the data analysis and model layer presets a normal operating model and a fault model of the crane, and compares the operating parameters and the sensor signals with the model, so as to judge the operating state of the crane; the data application layer predicts the operating stable of the crane within a certain period of time in the future according to the operating parameters and the sensor signals, so as to generate a fault early warning; and the business system layer is provided with an external data interface, and outputs data of the data analysis and model layer as well as the data application layer to the outside world.

The invention relates to a cost benefit analysis method of a renewable energy source distributed generation operation mode. The method comprises the following steps: determining all operation modes of the renewable energy source distributed generation; performing match analysis on the distributed contribution and a load curve, and determining different types of electric quantity; determining property right demarcation points, boundary conditions and calculation parameters of the distributed generation under different operation modes; determining the expense composition and income composition of the distributed generation in the whole life cycle under different operation modes; determining the total expense present value, annual average expense present value, total income present value and annual average income present value of the distributed generation in the whole life cycle under different operation modes; determining the benefit/cost value PI of the distributed generation in the whole life cycle under different operation modes; and selecting the scheme with the greatest benefit/cost value, and determining the optimal operation mode of the distributed generation. The method provided by the invention lays a firm theoretical foundation for making supporting policies for the renewable energy source distributed generation and distribution network.

The invention provides a method and a device for displaying points of interest searching result; wherein the method comprises the following steps: step a. searching the points of interest based on the input of the user; step b. judging the operating model set by a navigation system; wherein the operating model comprises a driving model and a walking mode; if the driving model is set, entering step c; if the walking model is set, entering step d; step c. calculating the road distance from the result points of interest to the position of the user based on the searching result, sequencing the points of interest based on the road distance from near to far, and displaying; step d. calculating the linear distance from the result points of interest to the position of the user based on the searching result, sequencing the points of interest based on the linear distance from near to far, and displaying. The technical proposal of the invention can display differently based on the different states of the user, thus facilitating the operation of the user.

The invention relates to the communication field and discloses a method used in the T-MPLS label presort mechanism and the resource admitting method for assisting thereof. The implement method of the invention includes: processing LSP label presort according to the special requirement before the arrival of the operation request; forward building the transmitting process by a plurality of P2P unicast LSPs; a plurality of P2P multicast LSP label presort; a two dimensional chain table storing structure suitable for a plurality of LSP presort mechanisms; a resource announcing and expanding method based on the OSPF route protocol; determining whether to accept the new operation request according to the expanded announce information diffuse in the dynamic network, which can reduce the building delay aiming at each LSP single process of the existing label distributing protocol, and the operation of the label distributing is started before the arrival of the operation request, wherein parallel way is adopted. Fast distributing of the label is completed by means of the expanded route protocol based on the flow project, meanwhile the way of combining the route and the signalling can realize the fast providing and access control of the operation. A bandwidth admission judging method based on the dynamic burst operating model is realized according to the expanded route information announce.

A tool for sensor management and fault visualization in machine condition monitoring. The method and system are able to monitor a plurality of sensors at one time. The sensors may be used in a power plant system monitoring system. The method and system may display a fault status for each sensor in the plurality of sensors in a single display, wherein the fault status for each sensor is displayed over time. The method and system also provide a mechanism that permits a user to examine details of each sensor in the plurality of sensors at any given time. In addition, the method and system are capable of categorizing each fault in the fault status using one or more properties or categorizing criteria. The method and system also permit sensors to be tested such that different operating models may be examined by utilizing different sensors.

The invention discloses a development and usage method of an internet of things system. By means of the development and usage method of the internet of things system, a supporting environment is operated by establishing software and hardware adapting to various types of physical networks, service characteristics of various internet of things application systems, research on an internet of things general system architecture is implemented from the points of top layer design and common supporting to form a basic descriptive model of the internet of things and further erect various applications and compatible and operation modes of the internet of things on the basic descriptive model, and the interoperation and information exchange demands of various different application system and distributed resources can be met to the greatest extent.

The invention discloses a control method and a control device for an air-conditioner. The control method comprises: presetting an operating model of the air-conditioner in a sleep state, the operating model comprising an operating duration, division of time periods of the operating duration, and temperatures, fan speeds and wind directions of the air-conditioner in various time periods; according to a set sleep duration, determining a corresponding operating model matching with the duration; controlling a sleep duration set for the air-conditioner to operate; and during operating of the air-conditioner, adjusting the temperatures, fan speeds and wind directions of the air-conditioner in different time periods according to the set operating model. The sleep duration set for the air-conditioner to operate is controlled, and during operating of the air-conditioner, the air-conditioner is controlled to change correspondingly according to the state change process of a human body while sleeping and to output a temperature, a wind speed and a wind direction that make the human body feel more comfortable; as a result, the human body is allowed to have better experience while sleeping; moreover, the operating of the air-conditioner is adaptable to various different sleep modes.

The invention relates to a data processing and model running method and device and computer equipment, and relates to a machine learning technology, and the method comprises the steps: obtaining a candidate calculation processing unit of a to-be-run model and equipment; dividing the to-be-operated model into different sub-model sets, enabling sub-models in each sub-model set to have binding calculation processing units determined from candidate calculation processing units, and supporting the operation of each operator in the corresponding sub-model; operating each sub-model through a bindingcalculation processing unit corresponding to the sub-model, and determining operation efficiency information of each sub-model set; determining a target sub-model set from the sub-model set, and establishing a first association relationship between the to-be-operated model and the target sub-model set, the first association relationship being used for dividing the to-be-operated model into targetsub-models for operation when the to-be-operated model is operated in the device, and operating the corresponding target sub-models through the target binding calculation processing unit, thereby improving the model operation efficiency.

The invention discloses to a multiscale Retinex image sharpening algorithm based on bounded operation, relates to the technical field of digital image processing and solves the problems that existing image intensification algorithm has limitation in realizing image sharpening and generates a halo formation in a region with relatively strong change of intensity of illumination and the like. The algorithm comprises the following steps: according to a bounded generalized log ratio operating model put forward, replacing logarithm transformation in Retinex algorithm by addition in a GLR model to carrying out logarithm-like transformation on an image; separating high and low frequency information by adopting a self-adaptive guide filter kernel function of different scales to obtain illumination images of different scales; then removing illumination components by using subtraction of the GLR model to partition reflective components of different scales from an original image; fusing effective information of different scales by using multiplication and addition of the bounded GLR model for replacing conventional algorithm through a four-way Sobel gradient image to obtain a final multiscale reflective component image, namely the final sharpened image.