179results about How to "Reduce work complexity" patented technology

The invention discloses an automatic cutting method of embroidery cloth based on combination of DST file parsing and machine vision. In wool toy manufacturing industry, the profile and pattern of the wool toy are processed by adopting an embroidery machine, and the whole embroidery piece is cut one by one by adopting a laser cutter. The method comprises the steps of: firstly parsing a DST file (embroidery file) into an image file, selecting cutting units from the image file, and extracting the information of the cutting units to obtain the inside parameter of the unit; and carrying out correlated processing according to the image of cut sample obtained by camera shooting, matching the obtained cutting unit information with the processed sample, finally determining the cutting line position, generating a PLT file and cutting by a cutter. Different from other laser cutting methods based on machine vision, the method can finish cutting of the whole embroidery sample just by once shooting; and the method has the characteristics of high working efficiency and low unqualified rate, and has very strong cutting capability on the complicated embroidery sample.

The invention discloses an LED lamp control method, an LED lamp and a control system. The control system comprises a cloud platform, at least one LED lamp group and control equipment; the cloud platform preassigns a unique identifier for the at least one LED lamp group, and the control equipment generates control information corresponding to a control operation and transmits the control information to the cloud platform after receiving the control operation; the cloud platform identifies a target LED lamp group identifier and the control type included in the control information, generates a control instruction corresponding to the control information, and transmits the control instruction to the LED lamp groups corresponding to the target LED lamp group identifier through a gateway; and the LED lamp group executes an operation corresponding to the control type according to the control instruction. The processing and analysis of the control information of the invention are all implemented by the cloud platform uniformly, thus a plurality of LED lamp groups can be quickly controlled, and control modules in the LED lamp groups only need to simply convert the control instruction, thereby reducing the work complexity and maintenance complexity, and enhancing the stability of the system.

The invention provides a power line inspection method utilizing a portable multifunctional intelligent line inspection instrument. The power line inspection method comprises the following steps: shooting an image of a related power line by a shooting unit in response to a user instruction; measuring the distance between the power line and a related object by a distance measurement unit; recording a related power line inspection discovery by a text recording unit; collecting information from the shooting unit, the distance measurement unit and the text recording unit by a control unit through a communication unit, and storing the information from the shooting unit, the distance measurement unit and the text recording unit in an associated manner.

The invention discloses an intelligent sample storage cabinet system. The system comprises a sample storage unit for storing samples, a sample storage/taking movement unit for shifting the samples, and an intelligent control unit; the sample storage unit includes multiple storage bins arranged in an array form; the sample storage/taking movement unit includes a pneumatic manipulator mechanism; the pneumatic manipulator mechanism is provided with a storage cavity and a negative-pressure production component; and after an opening end of the storage cavity is tightly connected with opening ends of the storage bins, the negative-pressure production component extracts air in the storage cavity and the storage bins to form vacuum negative pressure so as to suck the samples in the storage bins to the storage cavity. The system has the advantages of high space utilization rate, high intelligent modular degree, capability of synchronously storing and taking one or more samples and safe and efficient sample storage and taking.

A method for integrating image monitoring with an integration automation background of an electric power system adopts a structure composed of a client and a video transit server; a video client comprises an image monitoring plugin embedded in a picture and the client based on an independent process window and is in charge of displaying images and receiving mouse events to transmit various control commands to the transit server; the client receives video of the server and displays images so as to accomplish the linkage relation between state changes of video images and monitored equipment; the video transit server is in charge of receiving video command information and image requests from the client, forwarding the control commands to a control camera of an image monitoring system, and establishing corresponding service function aiming at the image monitoring requests; and the video transit server receives image information from a video server and forwards the information to all video clients. The method provided by the invention enables operating personnel of the electric power system to know the appearance state and the position information of primary equipment and secondary equipment in the field of a transformer station.

The invention provides a portable multifunctional intelligent line patrol instrument and a power line patrol system. The intelligent line patrol instrument comprises a control unit, a shooting unit, a distance measurement unit, a text recording unit, a communication unit and a display unit, wherein the shooting unit responding to a command of a user shoots an image of a power line and surrounding objects; the distance measurement unit measures distance information from the power line to a special object; the text recording unit edits related texts; the shooting unit, the distance measurement unit and the text recording unit send information acquired respectively to the control unit through the communication unit; the control unit stores information of the units in a correlative manner, analyzes and processes information of the units according to demand, and sends the related information to a remote server according to demand. By providing integrated portable equipment, the amount of portable equipment in a power line patrol field can be reduced, the operating method can be simplified, and the working strength and working complexity of the worker can be reduced.

This invention discloses one difference right re-arrange line method based on network processor, which comprises the following steps: according to each line head frame length, each transmission wide band and last time transfer result computing wait transfer each priority; according to priority selecting subject from lines; sending dispatch result and deleting it from send frame and then repeating above operations. This invention also discloses one transfer device, which comprises priority buffer register, line send control device, priority compute device and line selection arbitrary device.

The invention relates to a local type node management method of the wireless sensor network, which comprises the steps that at the current sampling time, a working node in a first node collection can predict that the alternative area where the ideal node combination with the optimum positioning performance at the time of the next sampling is positioned can be provided; each node in the first node collection can broadcast the forecasting information including the alternative area to other nodes in the wireless sensor network; the node which receives the forecasting information judged whether is positioned within the alternative area, and if the node is positioned within the alternative area, the node is added to a second node collection; the alternative nodes in the second node collection can mutually confirm the location and the condition of the other node, and the alternative nodes can come into the working condition at the next sampling time. The invention can effectively avoid the disadvantages that the computing load of the traditional overall type node management method is large, the storage demand is large, the complexity of the system is large, the structure is complex, the expansibility is not strong etc., the invention can rapidly obtain the node combination which can position the object with very high precision, the working complexity of the system can be reduced, and the network service life can be prolonged.

The invention provides a whole vehicle feed problem monitoring method, which comprises the following steps of: when a gateway determines that a whole vehicle feed mode when an ignition switch is in anOFF gear is that a vehicle is in a bus communication state for a long time but cannot enter a low power consumption state, distinguishing messages sent by each CAN according to the network managementprotocol type of the CAN, and sending messages sent by each CAN from all nodes of the CAN; obtaining a node of which the message is received by the gateway within a preset monitoring time and accordswith a bus abnormal communication condition, generating first abnormal information, and sending the first abnormal information to the vehicle-mounted T-BOX; and when the gateway determines that the whole vehicle feeding mode when the ignition switch is in the OFF gear is that the vehicle cannot be stably kept in a low-power-consumption state and is in a continuous dormancy awakening state, inquiring nodes meeting the abnormal awakening condition from all the nodes of the CAN network, and generating and sending second abnormal information to the vehicle-mounted T-BOX. By implementing the method, the fault information can be collected in time when the whole vehicle feed problem occurs, the working time and the working complexity are shortened for checking the whole vehicle feed problem, andthe working efficiency is improved.

The method comprises: 10) dividing all nodes into m areas; 20) selecting k nodes nearest to target from each area, and selecting n nodes nearest to the target from all areas; selecting the nodes with least cost function to participate the first candidate set from all nodes; 30) counting the amount of the selected nodes in the first candidate set; 40) selecting cj nodes from each area to form a second candidate set; 50) selecting the nodes capable of making the first candidate set have least cost function from the second candidate set; 60) deciding if the amount of the nodes is less than the amount of working nodes; if yes, then executing step 30; otherwise, ending the procedure.

The invention relates to a nondestructive testing method for the adhesion of a thin film based on a cohesion model. The nondestructive testing method comprises the following steps: representing the adhesion between the thin film and a substrate by using a relation of an adhesion force between interfaces and an interface relative displacement; establishing a potential function of an index type cohesion model to represent an adhering condition between the thin film and the substrate; utilizing the index type cohesion model as a constitutive model of a thin film substrate interface unit in a thin film substrate structure and establishing a finite element model considering the interface adhesion, wherein the model includes two parts including the thin film and the substrate, and a cohesion unit is added between the thin film and the substrate; carrying out interface adhesion sensitive analysis on composite parameters to determine key parameters; calculating a theoretical frequency dispersion curve of transmitting ultrasonic surface waves in a layered structure when the adhesion between the thin film and the substrate is considered; acquiring an experiment frequency dispersion curve of the surface waves; obtaining a measured value of the adhesion of the thin film. The nondestructive testing method provided by the invention can realize quantitative characterization of the adhesion of the thin film.

The invention discloses an automatic generation system and method of a fault recorder file analysis model. The system comprises a data processing unit, a data extraction unit and a model base, whereinthe a CFG (configuration) file and a grid model CIME (common information model specification) file are stored in the model base; the data extraction unit extracts a channel name of the CFG file automatically and transmits it to the data processing unit, the data processing unit formats the channel name and performs word segmentation to obtain a standardized name, a relationship model is established in conjunction with channel type to generate primary devices, and a DMF (distribution media format) file is acquired in conjunction with device parameter information in the CIME file. The channel type is compared with corresponding types in the base to automatically establish the relationship model, protection, switches, busbar, circuitry, transformers and other structures are generated in sequence, chances for judging failure of faults due to not-in-time updating can be slimmed, model configuration accuracy is improved, fault judging precision is improved, and work complexity of manual configuration is relieved with configuration time thereof shortened.

The invention discloses an optimization method for virtual circuit design of smart substations. The optimization method comprises the steps of 1) performing virtual terminal standardization design: according to different primary wiring methods and secondary equipment configuration methods in smart substations at different voltage degrees, setting unified and specified relevant virtual terminal standardization design; 2) establishing a smart substation summarization virtual terminal table: combining the virtual terminal tables of various smart substation equipment to form a summarization table and adding interval description attributes; 3) correlating the virtual terminals with identical signal descriptions and interval descriptions and connecting the virtual terminals with consistent signals by using an auxiliary design tool. The optimization method for virtual circuit design of smart substations has the advantages that the virtual circuit design process of the smart substations can be optimized, the workload at a design stage is reduced, and the burdens and the potential hazards caused by substation information digitalization and networking to the current smart substation design work are avoided.

The invention discloses a progress state data processing method and apparatus. The method comprises the following steps: receiving at least one secondary task state data; determining a task type of a secondary task and a primary task corresponding to the secondary task; respectively calculating primary task state data of corresponding to the secondary task by utilizing secondary task completion data according to a calculation way corresponding to the task type; determining a root task corresponding to the primary task; calculating state data of the root task corresponding to the primary task by utilizing each primary task state data according to the calculation way; and calculating progress state data by utilizing the root task state data as well as the weight of each root task. In the progress state data processing method, the primary task state data as well as the root task state data can be automatically acquired by only inputting the secondary task state data in the entire process by virtue of level-by-level calculation from bottom to top so as to obtain the progress state of the entire engineering, so that the existing working flow is simplified, and the working complexity is alleviated.

The invention discloses an SVM (Support Vector Machine)-based power consumption abnormality detection method. An overall system comprises a metering database system (1-1), a preprocessing module (1-2), a One-class SVM sorting machine (1-3), a warning message filtering module (1-4) and a warning module (1-5), and the relation of all the modules is shown by using a data flowing direction (1-6); a system flowchart consists of thirteen modules: a data collection module (2-1), a data preprocessing module (2-2), a training sample collection module (2-3), a working day model module (2-4), a holiday model module (2-5), a weekend model module (2-6), a data preprocessing module (2-7), a KKT condition judger module (2-8), a One-class SVM classifier module (2-9), a system decision module (2-10), a warning module (2-11), a program execution direction module (2-12) meeting KKT conditions, and a program execution direction module (2-13) incapable of meeting KKT conditions. The SVM-based power consumption abnormality detection method has the remarkable advantages of being small in training samples, capable of setting detection accuracy, and the like.

The invention discloses an automatic moisture tester. The automatic moisture tester comprises a moisture test module for performing a moisture test to materials and a crucible for containing the materials; the moisture test module comprises a material transfer device for transferring the materials to the moisture test module; a manipulator device for completing conveying of the materials, transferred by the material transfer device, between all devices of the moisture test module; a weighing device for weighing the materials conveyed by the manipulator device; a drying box device for drying the materials weighed by the weighing device; the materials are transferred to the moisture test module through the material transfer device, and the manipulator device conveys the materials on the material transfer device to the weighing device for weighing, then conveys the materials to the drying box device for drying and then conveys the materials to the weighing device for weighing to complete a test. The automatic moisture tester has the advantages of high automation level, high equipment integration level, high working efficiency and high test accuracy.

The invention provides a test platform for baseband equipment of a test control system, and aims at improving the detecting efficiency of the baseband equipment of the test control system before various kinds of test control tasks and reducing the diagnosis and isolation time of fault occurrence in the test control tasks. The test platform is realized through the following technical scheme that the test platform mainly comprises a frequency scale generating unit, a time code generating unit, a target simulating unit, a data simulating unit and a test plan management unit, wherein the frequency scale generating unit is used for generating frequency signals, the time code generating unit is used for generating time signals, the target simulating unit is used for generating tracking, remote control and data transmission intermediate frequency signals, the data simulating unit is used for generating tracking, remote control and data transmission data signals, and the test plan management unit is used for sending test commands and responding test results. The frequency scale generating unit and the time code generating unit respectively transmit frequency signals and time signals into the target simulating unit, and the target simulating unit and the data simulating unit carry out information exchange through a bus. Target data simulating application software and test plan management application software are respectively deployed on the data simulating unit and the test plan management unit to form a software platform, and the communication is carried out through networks.

The invention provides a train operation adjustment and optimization method under a fixed train path sequence. The method comprises the following steps: configuring a railway line topological structure and a space-time network corresponding to the railway line topological structure; configuring an initial train operation plan, train operation basic data and fixed train path data; according to the railway line topological structure, the initial train operation plan, the train operation basic data and the fixed train path data, establishing a train operation adjustment and optimization model under a fixed train path sequence based on a space-time network; and solving the train operation adjustment and optimization model under the fixed train path sequence by using an integer programming algorithm, and obtaining a train operation adjustment plan with the fixed train path sequence. According to the method, the optimal train operation adjustment plan can be generated under the condition that the sequence of partial train paths is fixed, the interference of complex factors difficult to describe on train operation can be effectively reduced, and the work complexity of train dispatchers can also be reduced.

The invention discloses a multi-node high-density server monitor and management system and a monitor and management method on the basis of the system. The system comprises a far-end monitor terminal,server nodes, a backboard, a server CRPS power supply, a cooling device, a hard disk and a hard disk signal lamp, wherein the backboard is provided with an MCU chip and a CPLD chip; each server node is provided with a BMC chip; the far-end monitor terminal is in network connection with any node; and the backboard is connected with each node. The multi-node high-density server monitor and management system and method provided by the invention have the advantages of being few in management cables, easy to maintain, convenient and intuitional, strong in practicability and easy to popularization,realizing multi-node linkage, reducing the working complexity of managers and enabling the managers to discover problems more rapidly.

The invention discloses a signal link signal quality evaluation method. The method comprises the following steps: obtaining a target signal link to be evaluated; searching for the sender model, transmission line model, via model and receiver model matched with the target signal link in the preset model library; the transmitter model, the transmission line model, the via model and the receiver model are connected to obtain the simulation link. The signal simulation parameters and transmission line length corresponding to the target signal link are inputted into the simulation link to obtain thetarget simulation link. By using the target simulation link, the signal quality evaluation results corresponding to the target signal link are obtained. It can complete the signal quality evaluationof the target signal link, further shorten the design cycle of the circuit board, and improve the signal quality of the circuit board design. The invention also discloses a signal link signal qualityevaluation device, a device and a readable storage medium, which have corresponding technical effects.

The invention discloses a comprehensive estimation method of natural disaster flashover risks of a power transmission circuit. The method comprises steps of based on research on the models of lightening strokes, ice flashover l, pollution flashover and wind deviation flashover of the traditional power transmission circuit, calculating flashover probability of the power transmission circuit under the current natural disaster condition; determining load loss after the flashover faults of the circuit; and finally, taking the ratio of the load loss to the power utilization load of a power grid as a risk value and carrying out grading division, thereby achieving comprehensive estimation on different types of natural disaster flashover risks of the power transmission circuit. According to the invention, a unified and quantitative reference basis is provided for disaster prevention and reduction work of different types of natural disasters of the power transmission circuit.

The invention discloses a method and a system for data communication based on a thread pool. The method comprises the following steps: establishing a data processing thread and adding the data processing thread to the thread pool; performing data processing operation by utilizing the data processing thread, thereby acquiring to-be-sent data; and storing the to-be-sent data to a public data sendingqueue, thereby sending the to-be-sent data to a data receiving party by a data sending thread; detecting whether the to-be-received data exist in a public data receiving queue by utilizing the data processing thread; and receiving the to-be-received data if the to-be-received data exist. According to the method, the calculation and storage resource waste caused by the sender and the receiver waiting for the processing information of the other party can be reduced, the working complexity is reduced and the working efficiency is increased. The invention also discloses the system for data communication based on the thread pool, a computer readable storage medium and a server with the beneficial effects.

The present invention relates to a method for determining a composite parameter that characterizes adhesion of a thin film based on a cohesion model. The method comprises: representing adhesion between a thin film and a substrate by using a relation between an adhesive force between interfaces and an interface relative displacement, wherein the adhesive force between the interfaces changes as a relative distance of a material interface changes, and establishing a potential function of an exponential cohesion model to characterize an adhesion condition between the thin film and the substrate; using the exponential cohesion model as a constitutive model of a thin-film substrate interface unit in a thin-film substrate structure, and establishing a finite element model considering interface adhesion, wherein the model comprises two parts: the thin film and the substrate, and a cohesive unit is added between the thin film and the substrate; and performing interface adhesion sensitivity analysis on a composite parameter, so as to determine a key parameter. According to the method provided by the present invention, the key parameter sensitive to interface adhesion can be simply and conveniently determined.

The invention relates to an intelligent kitchen cooking system. A mechanical arm structure is adopted, various different operation and cooking modes can be achieved by automatically replacing front-end components of the mechanical arm, the operation modes include food material clamping, container moving, seasoning adding and the like, and the cooking modes include stir-frying, stirring and frying.The diversity of cooked dishes is greatly expanded. The seasoning device is adopted to blend dish seasonings, and then the mechanical arm is put into a pot for seasoning, so that the working complexity and redundant steps of the mechanical arm can be effectively reduced, the cooking process flow and the system complexity are simplified, the seasoning configuration proportion can be accurately controlled, and the taste of dishes is ensured. User-defined, online network downloading and intelligent cooking process selection of the system are realized, menus of the cooking system are greatly expanded, the user-defined cooking process is supported, and the daily diet requirements of families are fully met by utilizing the Internet sharing advantage.

The invention relates to a computerized dynamic simulation method for intelligently repairing a virtual environment, which can overcome the problems that the creation of the virtual environment fails, the original state cannot be simulated and reproduced and the simulation directly fails, which are caused by the incorrectness of the content of a virtual environment component or a system information database thereof, so intelligent repairing of the virtual environment is realized. By adopting the computerized dynamic simulation method, the phenomenon of a dynamic simulation operation system that the original state of the system cannot be reproduced due to the failure of the creation of the virtual environment can be automatically and efficiently solved, so that guarantee is provided for smooth conduction and high efficiency of the work of judicial personnel. The invention fills related blank in the filed, and by adopting the method provided by the invention, the work efficiency of the judicial personnel can be greatly improved, the evidence obtaining work ability of the judicial personnel can be enhanced, the work complexity of the judicial personnel can also be reduced, the evidence obtaining cost can be saved, and meanwhile, advancing obstacles are cleared away for smooth conduction of electronic evidence taking of computerized dynamic simulation and other judicial procedures, so the computerized dynamic simulation method inevitably has wide application and market prospects.