180results about How to "Improve completion efficiency" patented technology

The invention relates to a 3D printing composite material for mouth rehabilitation and a preparation and using method of the 3D printing composite material. The 3D printing composite material for mouth rehabilitation is characterized by comprising the following components in parts by weight: 10-40 parts of low-viscosity monomer, 10-40 parts of enhanced monomer or low polymer, 150-200 parts of ceramic powder, 5-20 parts of expansion monomer, 5-15 parts of a dispersing agent, 2-6 parts of a short-wave photoinitiator, 1-3 parts of a long-wave photoinitiator, 1-3 parts of an ultraviolet absorber and 2-5 parts of polymerizable quaternary ammonium salt anti-bacterial monomer. The 3D printing composite material for mouth rehabilitation is small in curing shrinkage, short in curing time and high in anti-bacterial property, and is suitable for manufacturing a dental prosthesis.

The invention aims to provide a multi-robot cooperation method and multi-robot cooperation equipment. The multi-robot cooperation method includes acquiring cooperation instructions from network equipment; executing corresponding multi-robot cooperation tasks on the basis of the cooperation instructions. The cooperation instructions are matched with robots. Compared with the prior art, the multi-robot cooperation method and the multi-robot cooperation equipment have the advantages that the cooperation instructions can be acquired from the corresponding network equipment by the multiple independent robots for carrying out the cooperation tasks, and accordingly the corresponding multi-robot cooperation tasks can be jointly executed; the multiple independent robots can be flexibly combined with one another on the basis of application requirements of particular scenes by the aid of the cooperation instructions transmitted by the network equipment, various combined robots can be cooperatively operated for tasks with high workload or complicated work classification, and accordingly the multi-robot cooperation method and the multi-robot cooperation equipment are beneficial to breaking down complicated work and optimizing integral resources.

The embodiment of the invention discloses an event prompting method and device, and a terminal. The method comprises the steps: recognizing the type of a communication message when the communication message is received; judging whether the content of the communication message contains preset information corresponding to the type of the communication message or not, wherein the preset information comprises at least one of a preset key parameter and a preset keyword; and setting a prompt event for prompting the communication message when the content of the communication message contains the preset information. According to the technical scheme of the invention, the method can automatically set the communication message containing a to-be-handled event as the prompt event when a user receives the communication message, can avoid the inconvenience caused by that the user does not check or forgets to check the to-be-handled event prompted by the communication message, and improves the handling efficiency of the to-be-handled event.

The invention relates to a high-performance data transmission method for a large telemetric seismic instrument. A special customization data transmission protocol is established on a multi-access control (MAC) layer or a link layer of an operating system network protocol stack in order to solve the problem of low data transmission performance of the conventional large telemetric seismic instrument and replaces the conventional transmission control protocol/Internet protocol (TCP/IP); a data packet which meets the protocol is processed and directly mapped to an application layer buffering space; and data frames which do not meet the special protocol are still processed by a protocol stack in an operating system. The problem of low efficiency, low transportability and low universality in the prior art are solved; the data receiving efficiency of the large seismic instrument in a network environment is improved; and the high-performance data transmission method has the characteristics of high reliability, convenience in improvement and high expandability.

The invention relates to the field of computing and communication, in particular to a self-adaptive computing and communication method and system, and the method comprises the steps: obtaining serviceoriginal data; Dividing a calculation task and a communication task of the service according to the service type, the calculation amount required by the service, the communication load correspondingto the service and the calculation load of the calculation node and the transmission rate of the communication connection in the network; And according to the divided calculation task and communication task, controlling the calculation node in the network to complete the calculation task, and controlling the communication connection to complete the communication task, thereby realizing the calculation and communication of the service. the computing task and the communication task of the service are adaptively divided according to the the type and characteristics of the service, and the currentstate of the equipment in the network, the matched computing node and the communication connection are distributed to complete the corresponding task, the computing resource and the communication resource in the network are fully utilized, the service completion quality and efficiency are improved, and the service quality guarantee and the service quality experience are improved.

The invention discloses a biomass direct-fired boiler. The biomass direct-fired boiler comprises a boiler body, a feeding system, a discharging system, an out-boiler gas flue, a primary air inlet chamber, a secondary air inlet pipe and a distribution device; a combustion chamber which is formed by membrane type water cooling walls and a multi-return stroke gas flue are arranged in the boiler body; a water cooling vibrating fire grate is arranged at the bottom of the combustion chamber; a steam super-heater is arranged in the multi-return stroke gas flue; the feeding system is communicated with the front wall of the boiler body, and is used for inputting a biomass fuel into the combustion chamber; the discharging system is arranged at the bottoms of the multi-return stroke gas flue and the water cooling vibrating fire grate, and is used for outputting burnout things of the biomass fuel out of the boiler; the out-boiler gas flue is communicated with the top of a tail return stroke gas flue; a coal economizer, a secondary air pre-heater and a primary air pre-heater are arranged in the out-boiler gas flue in sequence in a flue gas flowing direction, and are used for preheating fed water and air and feeding the preheated water and air into the boiler; the primary air inlet chamber is arranged below the water cooling vibrating fire grate; the secondary air inlet pipe and the distribution device are arranged on the side wall of the combustion chamber. According to the biomass direct-fired boiler, the biomass fuel adaptability is wide; the combustion and energy resource conversion efficiency is high; the boiler operates safely and stably; high-efficiency utilization of biomass energy resources is realized.

The invention discloses a charging and task unloading system based on an unmanned aerial vehicle and a task time consumption optimization method thereof, and the system can provide locally calculatedpower consumption for user equipment and power consumption for task unloading through carrying an MEC server and a WPT module on the unmanned aerial vehicle. The limitation that user equipment with low energy storage cannot effectively execute local computing and utilize MEC resources is broken through, and the task completion efficiency of the system is improved. Moreover, resources of the user equipment are utilized to the maximum extent, so that the user equipment can process or transmit task data in the shortest time, and on the premise, a strategy scheme which is the best superior to theexperience of the user equipment is selected by comparing and balancing the total task time consumption in a local calculation mode and an unloading calculation mode. The cost performance and the utilization rate of WPT and MEC for the resources allocated to each user equipment are improved, the purpose of minimizing the total consumed time of system task completion is achieved, the purposes of the resource utilization rate and the allocation rationality of the WPT and the MEC are achieved, and the working efficiency is improved.

The invention discloses a working platform task allocation method and system based on multiple roles, and relates to the technical field of computer application. The system comprises a working platform, a client terminal and a user terminal, wherein the working platform is in bidirectional connection with the client terminal and the user terminal through a wireless communication network; the working platform comprises an authority management module, a task matching module, a task tracking module, a risk assessment module, a task storage module and a cost calculation module; the client terminalcomprises a task publishing module, an allocation mode selection module, an information viewing module and a payment module; the user terminal comprises a role input module, a label configuration module and an overdue reminding module. A task request is issued through a client terminal, a working platform performs risk level evaluation, a multi-role task allocation mechanism is expanded, and tasks and multiple roles are quickly matched; and multiple distribution mechanisms are adopted, so that the diversity of task distribution is ensured, multi-role cooperative efficient work is realized, and the task distribution efficiency is improved.

The invention relates to a test task processing method and device, a computer readable storage medium and computer equipment, and the method comprises the steps of obtaining a test task, determining atest environment parameter carried by the test task, a data source path of test data and a test case name of a needed test case; searching a test script corresponding to the test case name, writing the test environment parameters corresponding to the test environment and the data source path corresponding to the test data into the test script to obtain an updated test script, and generating a test case based on the test data and the test logic carried in the test script by running the updated test script, configuring the test environment and reading the test data; and in the test environment,executing the test case to obtain a test result. Specific test data and test environment do not need to be written into each test script, and the conciseness and reusability of the test scripts are improved, so that the writing scale of the test case scripts is simplified, the writing efficiency is improved, and the test task completion efficiency is further improved.

The invention relates to a task data processing method and device, a computer device and a storage medium. The method comprises the following steps: obtaining project progress information corresponding to the to-be-completed project, wherein the project progress information comprises a task completion rate; splitting a to-be-completed project into a plurality of tasks; wherein each task carries corresponding target geographic position information; obtaining a current project stage matched with the project progress information, obtaining a to-be-allocated task user identifier; acquiring historical task data corresponding to the to-be-allocated task user identifier, wherein the historical task data comprises historical task information corresponding to at least two dimensions; determining auser task portrait corresponding to the to-be-allocated task user identifier according to the current project stage and the historical task data, and obtaining the geographical location information ofthe terminal corresponding to the to-be-allocated task user identifier, and allocating the matched to-be-completed task to the terminal corresponding to the to-be-allocated task user identifier according to the current project stage, the user task portrait and the geographical location information of the terminal, thereby improving the completion quality and the completion efficiency of the project.

The invention discloses an entity linking method and device, equipment and a storage medium, and relates to the field of natural language process. The method comprises: obtaining to-be-linked entities and context content corresponding to the to-be-linked entities from a to-be-identified text, and, according to the to-be-linked entities, determining a plurality of candidate entities and entity information of each candidate entity in the plurality of candidate entities in the knowledge graph; matching the context content with the entity information corresponding to each candidate entity to obtain a first matching score, and determining a target candidate entity in the plurality of candidate entities according to the first matching score; and based on the disambiguation score between the to-be-linked entity and the target candidate entity, determining a target entity in the target candidate entity, and determining the target entity as a linked entity corresponding to the to-be-linked entity.

The invention provides an unmanned aerial vehicle cooperation method, system and device, electronic equipment and a storage medium, and relates to the field of unmanned aerial vehicle cooperation. Themethod comprises the steps of obtaining a to-be-executed task and features of the to-be-executed task; and allocating the to-be-executed tasks to the plurality of unmanned aerial vehicles based on the features, determining a sequence of executing the to-be-executed tasks by each unmanned aerial vehicle based on the features of the to-be-executed tasks needing to be executed by each unmanned aerial vehicle, and issuing a task execution instruction. According to the embodiment of the invention, the to-be-executed task is allocated based on the characteristics of the to-be-executed task, the task executed by each unmanned aerial vehicle is re-allocated, the task execution sequence of each unmanned aerial vehicle is determined, the highly dynamic task can be flexibly processed by a layered distributed method, the demand of the dynamic task is met, the system robustness is improved, existing tasks are redistributed, the task completion degree and completion efficiency are improved, meanwhile, the complex multi-task cooperation problem is converted into the relatively simple path planning problem, and the cooperation efficiency of the unmanned aerial vehicle is improved.

The invention discloses a risk identification method. The method is used to solve a problem that completion efficiency of a service with a high real-time requirement is low through using the risk identification method in the prior art. The method comprises the following steps of determining whether a service which is about to carry out risk identification satisfies a real-time identification condition, wherein the real-time identification condition is used for distinguishing the service which has a high requirement to complete real-time performance of the service and the service which has a low requirement to complete the real-time performance of the service; and when a determination result is yes, calling a risk identification model in a first model set and identifying whether the service has a risk, wherein the risk identification model in the first model set is screened and acquired according to a preset model screening rule. The invention also discloses a risk identification apparatus and a risk identification system.

The invention relates to an interest attribute mining method and device based on big data and computer equipment. The method comprises the following steps: acquiring a fully-connected sub-network diagram of an object to be determined, wherein the fully-connected sub-network graph comprises an undetermined object node and at least one reference object node; calculating a comprehensive correlation degree between each reference object node and the undetermined object node; obtaining an interest attribute value corresponding to the reference object node, and determining a reference weight of the interest attribute value according to the comprehensive correlation degree; calculating and obtaining a first interest reference value according to the plurality of interest attribute values and the reference weights corresponding to the interest attribute values respectively; obtaining initial attribute information of the to-be-determined object, and determining a second interest reference value of the interest attribute according to the initial attribute information; and calculating an interest attribute value corresponding to the to-be-determined object based on the first interest referencevalue and the second interest reference value. By adopting the method, the user interest attribute information can be efficiently and accurately mined.

The invention discloses an automatic falling assembly device for a bogie. The device is used for solving the problems that the falling efficiency of the bogie is low, the manual labor intensity is high, the bogie is often not in the right position, and the efficiency and the assembly quality of a crown block and a bogie static pressure test bed are affected. The device comprises a workbench frame,a wheel pair positioning unit, a V-shaped groove seat plate, a wheel pair elastic positioning unit, a plurality of bearing box supporting units and an elevated device, wherein the wheel pair positioning unit is used for supporting a wheel tread formed by wheel pairs; the V-shaped groove seat plate is used for supporting a wheel flange formed by the wheel pairs; the wheel pair elastic positioningunit is used for fixing the wheel base; the bearing box supporting units can be used for supporting axle boxes formed by the corresponding wheel pairs; the elevated device is used for positioning andhoisting a framework assembly to a falling station; and after the framework assembly and the wheel pair assembly fall, a pressing-in mechanism is used for compressing a primary axle box spring of thebogie. The device is easy and convenient to use, high in falling efficiency and capable of achieving accurate falling and improving the assembly efficiency.

The invention relates to an orbital graph based project information automated processing system. The system comprises a project establishment module used for receiving project information and project plan modification information, a node information input module used for receiving node information input by a user, a project orbital graph display module used for establishing and displaying a corresponding project orbital graph according to the project information and modifying and displaying a state of the project orbital graph according to the node information and the project plan modification information, and a message processing module used for automatically generating a corresponding message according to the information of the project establishment module and the node information input module and sending out the message, wherein the node information comprises an input condition file, an output achievement file and an achievement file feedback result; and a plurality of nodes are arranged on the project orbital graph. Compared with the prior art, the system has the advantages that the efficiency is effectively improved, the data missing is avoided and the like.

The invention discloses a task allocation workload evaluation system and method based on a working platform, and relates to the technical field of computer information processing. The system comprisesa workload analysis module, a workload evaluation training module, a working difficulty analysis module and a workload distribution module. The workload analysis module comprises a keyword extractionmodule and a feature extraction module; the workload evaluation training module comprises an extraction unit and a training unit; the working difficulty analysis module comprises a retrieval unit anda difficulty statistics unit; and the workload distribution module comprises a matching unit and a reminding unit. Keywords and features of a work project are extracted, analysis and statistics of work difficulty are achieved through feature extraction, work matching is achieved through keyword extraction, assessment of task workloads is finally completed, the work assessment accuracy is improved, and the engineering completion efficiency and progress are improved.

Embodiments of the invention disclose an image content marking method and an apparatus thereof. The image content marking method comprises the following steps of determining at least two key frame images and annotated information of the key frame images of a video image; and aiming at each group of the two adjacent key frame images, according to the group of the two adjacent key frame images, the annotated information of the group of the two adjacent key frame images and a quantity of common frame images located between the two adjacent key frame images of the group, determining annotated information of the common frame images. By using the image content marking method and the apparatus thereof, through the key frame images and the annotated information of the key frame images, the annotated information of the common frame images is automatically generated. In an existing image annotation method, characteristic contents in an image need to be annotated one by one so that a completion speed is slow. By using the method and the apparatus, the above problem is solved. Under the condition that annotation information is accurate, a workload is reduced and annotation operation efficiency is increased.

The invention provides a leaf-shielding-resistant CIM real-time imaging method for detecting abnormal parking of a shared bicycle, and the method comprises the steps: constructing a CIM of a target region which comprises a region of interest and other regions; processing the acquired image to obtain an adaptive occlusion image and leaf occlusion prompt information; sending the adaptive occlusion image into two branches, obtaining an image coordinate of a handlebar center point through the first branch, projecting the image coordinate into the CIM, and combining the image coordinate with the position information of the region of interest to obtain a shared bicycle abnormal parking detection result; enabling the second branch to perform projection transformation on the input self-adaptive occlusion image, and projecting the image into the CIM to realize real-time imaging after being spliced; and sending a detection result to the CIM for storage, performing visualization processing by using a Web GIS technology, and displaying the CIM of the target area at a Web end. According to the method, the utilization rate of information collected by the camera is improved, and related personnelcan be reminded to take measures in time when leaves shield the camera.

The invention relates to a nuclear power DCS man-machine interface automatic generation method, belongs to the technical field of nuclear power DCS, and solves the problems that the prior art is complex and tedious, the consumed time is long, and icon coordinates cannot be accurately drawn. The method comprises the following steps: identifying pixels and connecting lines contained in a nuclear power process design image; extracting general feature information and independent feature information contained in the pixels and the connecting lines, and splitting and converting the connecting linesto obtain line segments suitable for nuclear power DCS man-machine interface display; comparing the general feature information contained in the pixels with component information in a nuclear power DCS man-machine system database to obtain corresponding icons in a nuclear power DCS man-machine interface; and generating a final MACS6 flow chart on the nuclear power DCS human-computer interface according to the general feature information and the independent feature information, the line segment suitable for being displayed by the nuclear power DCS human-computer interface and the correspondingicons in the nuclear power DCS human-computer interface. According to the method, the MACS6 flow chart can be automatically drawn through programming, and the design efficiency and the drawing precision are improved.

An apparatus (50) for transporting and deploying completion components (140) for use in extended horizontal completions includes a container (52) having first and second openings (54, 56) that are substantially orthogonally disposed relative to one another. A support member (90) is securably coupled within the container (52) proximate the second opening (56). The support member (90) has a plurality of slots (92) that receive the completion components (140) in a predetermined order through the first opening (54) when the container is in a substantially horizontal position and that at least partially supports the completion components (140) when the container is in a non horizontal position such that the completion components (140) are removable through the first and second openings (54, 56) for sequential installation downhole.

The invention relates to a project management method and system. The method comprises the following steps of obtaining a project plan, generating task information according to the project plan, obtaining a personnel list, generating different personnel codes for each person in the personnel list, and transmitting the personnel codes to corresponding persons; dividing the personnel codes into a plurality of personnel groups according to the number of the task information, matching the task information with the personnel groups, splitting the task information into a plurality of pieces of sub-task information, and matching the sub-task information with the personnel codes; searching personnel codes corresponding to the sub-task information, associating the personnel codes with other sub-taskinformation, and sending the sub-task information to personnel corresponding to the personnel codes; and when completion information of all the sub-task information is received, counting the number of the sub-task information corresponding to each personnel code, recording the number as yield information, and generating a yield statistical table. The method is advantaged in that tasks and the personnel are matched in a targeted mode, and the task completion degree is improved by adjusting the personnel matching relation.

The invention discloses an information notification method, device and system and a computer readable storage medium. The system comprises a task notification platform, a notification service interface, a plurality of information notification service modules and a plurality of groups of module interfaces in one-to-one correspondence with the information notification service modules, wherein the task notification platform is used for matching a corresponding target information notification service module for a to-be-sent notification message which is received through the notification service interface and conforms to a preset message format, and distributing the to-be-sent notification message to the target information notification service module by calling a corresponding module interface;each information notification service module is used for executing one type of information notification service process, and each module interface defines a calling function connected with the corresponding information notification service module in advance. According to the invention, various message notification modes can be effectively utilized to reduce the delay caused by notification amongthe nodes, the maintenance work of notification services can be greatly reduced, and the completion efficiency of the whole information notification process is improved.

The invention discloses a cooperative cost task allocation method and system based on conceptual grids in a social network. The method comprises the following steps: a social network, tasks in the social network, participants in the social network and skills of the participants are modeled to obtain a task distribution system model; Small groups in a social network are obtained through form concept analysis, based on the internal strong connection attributes of the small groups, participants meeting the skill requirements of the tasks are recruited for the tasks, the strong connection groups sufficient for completing the tasks are quickly obtained, and the completion efficiency of the cooperative tasks is improved. According to the technical scheme, on the basis of the close contact characteristic between small group members in the social network, namely, any member can represent the whole small group, experts are selected from different small groups to construct the weak contact group, the group is constructed in an omnibearing and multi-level manner, and the fairness of competitive tasks is ensured. Compared with an existing task allocation algorithm, the method provided by the invention has the advantage that the performance of cooperation cost, team scale, operation time and the like is remarkably improved.