26299results about How to "Improve operational efficiency" patented technology

The invention discloses a parking system path planning method based on dynamic time windows, and belongs to the technical field of path planning. The method is characterized by comprising the following steps: S1, building a work environment model of AGVs in an intelligent garage in a topological method; S2, setting priority for each AGV and each car parking/picking task according to different evaluation criteria; S3, using a Dijkstra algorithm to plan a shortest possible path for an AGV accepting a task; S4, arranging feasible path time windows; S5, designing conflict resolution strategies according to different types of conflicts; and S6, planning a conflict-free optimal path for the AGV using a parking system path planning algorithm based on dynamic time windows. A time-sharing use strategy is used, and the Dijkstra algorithm and a time window method are combined effectively, so that the problem that the existing multi-AGV path planning is of poor flexibility and is prone to deadlock or collision conflict is solved effectively, and a shortest conflict-free optimal path can be planned for an AGV accepting a task. In addition, the overall operation efficiency of an intelligent three-dimensional parking system can be improved effectively, and the car parking/picking waiting time can be reduced for social members.

The invention relates to a block chain-based credit investigation data sharing and trading system. The credit investigation data sharing and trading system comprises at least two P2P network nodes; each network node comprises an underlying block chain system and a credit investigation data sharing platform running in the underlying block chain system; and the credit investigation data sharing platform comprises a data sharing module, a data query trading module, a member management module and a block chain adaption layer. According to the credit investigation data sharing and trading system, a trusted credit investigation data sharing and trading platform is established by using a block chain technology; and special data sharing mechanism, data query mechanism and data trading mechanism are used, so that credit investigation data owners and credit investigation data demanders can be attracted to perform use, credit investigation data providers can perform data trading under the condition that data is protected, and credit investigation data queriers can obtain the credit investigation data to improve risk control levels of themselves.

The invention relates to a device and a method for identifying and evaluating an emergency hot topic. The device is provided with four component parts including a text acquisition unit, a text expression unit, a topic clustering unit and a topic evaluation unit. The device and the method are characterized in that only a title, introduction, relevant features and other information of a text of a news report are extracted and regarded as an effective sample set identified by the hot topic. Compared with the existing full text extraction, the experiment result shows that the result of the existing full text extraction is similar to the result of the partial text extraction, but the operation of the device and the method is greatly simplified. Compared with a classical model, an improved feature weight calculation model is good in execution efficiency and strong in adaptability of text representation capability. The model is used for evaluating the hot value of clustered topics, and the calculated hot topic accords with the expected effect and is adaptive to the features of the emergency news report. In a word, in the process of processing the text of the emergency news report, the device and the method have good performance in aspects of calculation complexity, result accuracy and timeliness.

The invention discloses an individualized recommendation method based network behaviors. The method includes the following steps: (A). Generate the corresponding network behavior log of the user according to the search request sent by the users to the server and the report on the completion of document download, and record the keyword searched by users and downloaded document; (B). Analyze and clean up network behavior log, and modify system knowledge database and user matching database; (C). Find out users with the same interest from the modified user matching database and introduce them to users, and take the documents that users are interested in as the recommended document resource for users. The invention also discloses an individualized recommendation system based on network behaviors, which consists of network behavior log generating module, log analysis handling module, recommendation generating module, knowledge database, and user matching database. The invention has the advantages of high operating efficiency, strong usability of results, easy maintenance and expansion of the system, and capability to trigger users' interest.

The invention belongs to the technical field of video monitoring and in particular relates to a human-computer interaction device and a human-computer interaction method adopting human-eye tracking in the video monitoring. The device comprises a non-invasive facial eye image video acquisition unit, a monitoring screen, an eye tracking image processing module and a human-computer interaction interface control module, wherein the monitoring screen is provided with infrared reference light sources around; and the eye tracking image processing module separates out binocular sub-images of a left eye and a right eye from a captured facial image, identifies the two sub-images respectively and estimates the position of a human eye staring position corresponding to the monitoring screen. The invention also provides an efficient human-computer interaction way according to eye tracking characteristics. The unified human-computer interaction way disclosed by the invention can be used for selecting a function menu by using eyes, switching monitoring video contents, regulating the focus shooting vision angle of a remote monitoring camera and the like to improve the efficiency of operating videomonitoring equipment and a video monitoring system.

The present invention provides a bi-direction authentication method and system which belongs to the field of network communication. The present invention aims at solving the problems that certificate management in present private key authority technology is complex and the certificate management can not protect the identity of the users. The present invention provides a bi-direction authority method. The present invention includes the procedures of the system initialization and generating system parameters, an applicant initializing a dialogue request to establish connection with an authorization server, the applicant and the authorization server mutually check identity and generate a pair of main key which is used for the four-procedure-hand-shaking. The present invention also provides a bi-direction authorization system. The system includes a parameter initialization module, an establishing dialogue connecting module, a server identity verification module and an applicant identify verification. Applications of the technical proposal of the present invention can reduce the establishing and maintenance cost of the system, to enhance the running efficiency of the system, and to realize the target of protecting applicants.

The invention discloses a microgrid real-time energy optimizing and scheduling method in a parallel running mode. The method comprises the following steps of: firstly, dividing 24 hours in a day into a peak period of time, a general period of time and a trough period of time according to the load condition of a large power grid; and then, monitoring the working state of an accumulator in a microgrid in real time in the real-time process of the microgrid and adopting different energy optimizing strategies according to different periods of time and different working states of the accumulator soas to confirm the active power output of various schedulable micro power supplies, the charging and discharging power of the accumulator and scheduling instructions of the active power interactive with the power grid and the passive power of a passive adjustable power supply in the microgrid. The microgrid suitable for the invention comprises a reproducible energy generator, the schedulable micropower supplies and the accumulator. The invention not only can improve the economy and the reliability of the microgrid, but also can help the great power grid to cut peaks and fill troughs and is favorable to prolonging the service life of the accumulator.

The disclosed embodiment provides a method and a device for displaying notification messages, which are applied to terminal equipment. The method comprises the following steps: receiving the notification messages; classifying the notification messages according to the preset classification rule; displaying the notification messages in notification bars according to the classification. In the method provided by the embodiment, the terminal equipment such as a mobile phone can classify the notification messages according to the preset classification rule after receiving the notification message of a system or each APP (application); for example, the notification messages with the same source are classified into the same class, and then the notification messages are displayed in the notification bars according to the classification, thus an interface of each notification bar is concise and not disordered; a user can rapidly find out concerned message; the reading speed of the user is improved; the operation efficiency of the terminal equipment is improved; the user experience is also optimized.

The invention discloses a thermoelectric power station automatic control system based on artificial intelligence. It includes dispersible control system, virtual DCS simulation system, program controlling system, monitoring information system and malfunction diagnosing and optimizing controlling system; the dispersible control system is connected with the virtual DCS simulation system and program controlling system; the program controlling system process the operating parameters of every machine group transmitted by dispersible control system, and at the same time transmits data to monitoring information system to display, then transmits malfunction diagnosing and optimizing controlling system to have equipment state monitoring, malfunction diagnosing and forewarns. The invention gathers automatic control, optimizing operation, security monitoring and malfunction diagnosing and forecast. It can improves the automated management level of the thermoelectric power station operation, and enhances enterprises' benefit. It has great economic and applied value in the producing process automatic control of the thermoelectric power station.

The exhaust sound and emission control system is a system for reducing sound and noxious emissions from an automotive exhaust. The system may have an exhaust resonator having one or more catalytic converter elements in combination therewith in a single device. Alternatively, the system may have multiple angularly disposed chambers therein, with a series of V-shaped baffles or guides in one of the chambers, thereby combining resonator and muffler functions in a single device. In another alternative, the system has a series of longitudinal tubes therein, in combination with a series of V-shaped guides or vanes, combining catalytic converter, muffler, and resonator functions in a single device. The various elements of the different embodiments, e.g. catalytic converter element(s), double wall shell, perforated tubes and multiple flow paths, interconnecting crossover tubes, etc., may be combined with one another as practicable.

The invention discloses a province-level power distribution network operation monitoring system based on network-wide data. The monitoring system comprises a three-layer structure: an information integration layer, a platform layer and an application layer. The information integration layer mainly collects basic and operation data of a distribution network and provides online and offline power distribution network operation data to the platform layer through an information interaction bus. The base platform layer mainly gathers and summarizes various data of the distribution network and provides corresponding services to the application layer. The application layer mainly, under the support of the platform layer and based on network-wide equipment and the operation data, carries out operation monitoring, index monitoring and data analysis on the power distribution networks of the whole province. The operation monitoring system has the advantages of realizing province/ city/ county three-level power distribution network production and marketing and the like data integration, establishing an information integration platform, monitoring the operation states of the power distribution networks of the whole province in a concentrated manner, monitoring various data and index in the power distribution networks, and facilitating operation management of the power distribution networks of the whole province.

The invention discloses a third-party data service system based on Internet-of-Things data collecting. The third-party data service system comprises a data collecting cloud service module, a Web portal management module, a Web Service remote calling assembly module, a mobile application module and a data center management module. The data collecting cloud service module comprises a thread pool dispatching management module, a load optimization management module, a network management module, a data communication management module, a data storage module and an alarm module. The Web portal management module comprises a user and authority management module, an equipment management module, a monitoring point management module, a real-time monitoring module, a visual customization module, a spare part management module, an after-sale maintenance management module, a repair management module, a remote operation management module and a remote diagnosis module. The mobile application module comprises a real-time inquiry module, an alarm inquiry module, a repair registration module, a user feedback module, a maintenance inquiry module and a real-time warning module.

The invention discloses a track planning method for a multi-unmanned plane system in a three-dimensional environment, and belongs to the technical field of unmanned plane track planning. The method aims at the unmanned plane track planning characteristics. The method includes the steps of obtaining elevation and threatening information of an unmanned plane flying environment, generating a three-dimensional grid map of the flying environment, conducting multi-unmanned plane track planning with an improved heredity algorithm, conducting smooth processing for planned tracks by using a spline curve B, and finally forming a track that satisfies unmanned plane movement constraints. Optimal flying paths for multi-unmanned planes can be determined and planed through a heredity algorithm, and task completion efficiency is improved. The track planning method is applicable to the fields of unmanned plane reconnoiter, monitoring and rescue path planning.

The invention relates to a real-time dynamic traffic information processing method based on probe vehicle techniques. The method comprises the following steps: (1) reticulating an urban road system, and recording the shape and section numbers of all roads located inside or crossed with each grid; (2) grouping the data sets of a probe vehicle within one period according to the timer sequencing, determining a road aggregate R where the probe vehicle can be located in the mean while according to the geometrical characteristics of the data, calculating the road identification confidence of each road to generate a candidate identified road aggregate Rs, combining a plurality of Rs aggregates to establish a candidate path aggregate: (Rk<*>)(k=1)<K>, searching the candidate path aggregate, identifying several paths from the start-point GPS to the end-point GPS, performing the comprehensive judgment of road identification confidence and length of the paths to obtain the moving track of the probe vehicle; and (3) calculating the average speed per hour on the road according to the length of the moving track between the start-point and the end-point of the probe vehicle, the running time and the road condition history.

The invention discloses a cloud mining network public opinion monitoring system based on a characteristic model, which comprises a cloud computing resource pool, a system monitoring and load measuring portion, a cloud computing resource scheduling service portion, a multi-platform public opinion publishing service portion and a user interactive interface. User interfaces corresponding to different public opinion publishing modes are created, and each interface realizes user registration and login, public opinion monitoring configuration and management and public opinion transmitting functions, is used by a user to realize authorized access and check the latest public opinion information and realizes personalized configuration of public opinion monitoring. The system has the advantages of high running efficiency and low cost, and is applicable to the technical field of electronic information.

The embodiment of the invention provides a resource sharing method, a resource sharing device and a resource sharing system. The method comprises the following steps of: receiving a resource sharing request from a sharing party of a first domain, wherein the resource sharing request comprises resource identifiers corresponding to resources requested to be shared and information about a shared party; processing the resource identifiers and the information about the shared party, and generating authorization verification information; transmitting a resource sharing message to the shared party of a second domain, wherein the resource sharing message comprises the authorization verification information; receiving a resource access request from a requesting party of the second domain, wherein the resource access request comprises the resource identifiers, the information about the requesting party and the authorization verification information; and judging whether the requesting party is allowed to access the resources corresponding to the resource identifiers or not according to the resource identifiers, the information about the requesting party and the authorization verification information in the resource access request. By the method, the storage and management overhead of right checking can be saved, and the running efficiency can be improved.

The invention discloses a multi-time scale forecasting method for a road traffic running situation. Highway traffic parameters in different time scales are analyzed according to the running time-space characteristics of highway traffic flow; the highway road traffic running situations in different time scales are forecast by an exponential smoothing algorithm, a weighted average algorithm and a Kalman filtering method respectively; a highway road traffic running situation evaluation index system and a multi-time scale highway traffic flow running situation forecasting technology are constructed to implement the conversion from experience guide to science guide for the highway running management and the preliminary conversion from passive management to active management. Therefore, the running efficiency of a road traffic running situation forecasting system can be increased effectively, the running cost of the system is reduced, the coordination degree between road traffic guidance and management can be improved obviously, and an optimal policy is provided for improving a traffic management and control measure and planning a travel plan for a road traffic manager and a user to a large extent.