445results about How to "Avoid manual intervention" patented technology

The invention discloses a task scheduling method and system. The method comprises the steps that a task template achieved by the adoption of plug-ins is utilized for creating a task, and the task is scheduled according to the real-time status of the task. Due to the fact that the task template achieved by the adoption of the plug-ins is utilized for creating the task, task expandability is improved, and the method can create the general task. In addition, due to the facts that the plug-ins exist in the task template, and mutual independence and expandability exist and permutation and combination can be achieved among template configurations and / or a parameter list and / or strategies and / or result responses, reuse of all the components is greatly achieved, task expandability is greatly improved, the universality of the task scheduling method is ensured, the expandability of a trigger event is greatly improved, working efficiency is improved, and the working cost is reduced.

The invention discloses a model prediction based cut tobacco dryer outlet moisture control method. Aiming at characteristics of complicated state changes of a cut tobacco dryer during working and diversity of production process modes, an intelligent integrated optimizing control system for the cut tobacco dryer based on an intelligent prediction model and an artificial intelligent operating mode is constructed so as to achieve comprehensive optimization and automation during cut tobacco drying. Aiming at different stages and different production process modes in production, a model capable of describing dynamic process characteristics depending on feed quantity and feed moisture is constructed. On the basis of the model, an on-line optimizing control algorithm which is capable of simultaneously or selectively adjusting multiple process variables, adapting to changes of the feed quantity and the feed moisture and overcoming mutual interference among the variables and influences of various uncertainties during cut tobacco drying and has self-adaptive and self-adjustment functions is designed, and strict requirements on outlet cut tobacco moisture in different working conditions can be met.

The invention relates to an event trigger word extraction method based on auto-encoder fusion document information, which comprises the following steps: generating a training set by using unlabeled free text corpora, and training a GRU model to construct an auto-encoder; pre-processing and labeling the training corpus, and extracting to-be-identified words; obtaining a document vector of the to-be-identified word in a document where the to-be-identified word is located by the auto-encoder, and taking the document vector as a global feature of the to-be-identified word; expressing word vectorsand entity types of the to-be-identified words in a distributed manner to serve as local features of the to-be-identified words; carrying out vector splicing on the global feature and the local feature to obtain context features of the to-be-identified word; inputting the context features to the Bi-GRU model to perform multi-classification to identify whether the to-be-identified word is an eventtrigger word and the corresponding event type of the to-be-identified word.

The invention discloses an automatic measuring method for digitalized airplane assembly. The method includes the steps of determining the transforming relationship between all coordinate systems and an assembly coordinate system through measurement preparatory work, transforming theoretical coordinate values of all detection points under the airplane coordinate system to the assembly coordinate system to obtain theoretical coordinate values of all the detection points under the assembly coordinate system, and conducting automatic searching with the theoretical coordinate values of the detection points under the assembly coordinate system as initial light pointing points of a laser scanner to obtain actual coordinate values of all the detection points under the assembly coordinate system. Through the automatic measuring method, digitalized measurement of airplane components is achieved, the problems that the size of airplane space is large, the detection points to be measured are wide in distribution area, manual light guiding at a part of detection points is difficult, and the detection points need to be measured repeatedly in the assembly process are solved, one-off manual installation of a reflector is achieved, multiple automated measurement is achieved, manpower is saved, the measurement time is shortened, and the measurement efficiency and the assembly efficiency are greatly improved.

The invention discloses an underwater target identification method based on a convolutional neural network, comprising the following steps: firstly, simulating radiation noise of an underwater sound target; secondly, acquiring underwater target tracking beams; thirdly, acquiring a time-frequency graph of each target tracking beam, wherein all the time-frequency graphs are segmented according to fixed duration and divided into training samples and test samples; fourthly, performing data enhancement, size magnification and tailoring on the samples; fifthly, inputting the training samples provided with a label into a built convolutional neural network, performing supervised learning, and obtaining each layer parameter of the convolutional neural network; sixthly, initializing the network by utilizing each layer parameter, and obtaining the convolutional neural network with an underwater target identification function; and seventhly, acquiring radiation noise of a to-be-tested navigation target by a towed array, converting into a time-frequency graph and segmenting, inputting the segmented subgraphs into the convolutional neural network as to-be-tested samples, obtaining an identification result of each subgraph, and taking an identified target with the highest target quantity during identification as a final identification result. The method disclosed by the invention can enable underwater identification to maintain relatively high accuracy and speed under high ocean background noise condition.

The invention discloses a moving object relay tracing algorithm of multiple PTZ (pan / tilt / zoom) cameras. The moving object relay tracing algorithm is characterized in that the moving object relay tracing algorithm is carried out according to the following steps: 1. estimating inner parameter matrixes of the PTZ cameras by adopting a camera self-calibration method; 2. setting a view cutting line between adjacent PTZ cameras; 3. using Logistics regression model as a classification function, and combining with a mean value drifting algorithm and realizing the target tracking; 4. continuously adjusting angles of the PTZ cameras in the course of tracking, so that the target is always located in the center zone of the PTZ camera view; 5. when the target exceeds the view cutting line of the PTZ camera at present and enters the monitoring view of the adjacent PTZ camera, calculating the coordinate of the target in the adjacent PTZ camera view, and transferring the adjacent PTZ cameras to track the target, and rotating the original PTZ camera to return the preset position. The moving object relay tracing algorithm can accurately control the camera rotation, and perform stable tracking for a long time on the target; and thereby, the complete historical movement information of the target can be obtained.

The invention provides a conference cascading method, system and apparatus, wherein, the method includes: the step A, the branch hall conference server transmits a call request in the predetermined cascading time, wherein the call request carries a main meeting-place conference information and a branch hall conference information; the step B: the main meeting-place conference server receives the call request via a branch hall switch and a main meeting-place switch, the branch hall conference is cascaded to the main meeting-place conference via the main meeting-place conference information and the branch hall conference information carried by the call request. The invention is adopted to avoid the manual intervention in the conference cascade operation and improve the flexibility of conference cascade operation.

The invention aims to provide a control method of a robot cleaner, and equipment. The control method comprises the steps of acquiring a cleaning task, wherein the cleaning task comprises a cleaning strategy and a cleaning destination; determining an initial position of the robot cleaner, planning a global no-collision optimal path between the initial position and the cleaning destination for the robot cleaner; based on the acquired real-time information of the robot cleaner, the global no-collision optimal path and the cleaning strategy, determining control information of the robot cleaner in executing the cleaning task so that the robot cleaner autonomously moves to the cleaning destination which is preset by the user and finishes a cleaning task according to the cleaning strategy that is preset by the user according to the control information in executing the cleaning task on the condition of no artificial intervention. The control method of the robot cleaner and the equipment have advantages of preventing the artificial intervention in the moving process and the cleaning process, facilitating the robot cleaner in finishing the moving process and the cleaning process of the cleaning task, and improving cleaning efficiency of the robot cleaner.

The invention discloses a measuring system and a measuring method for a power contour of a reader-writer antenna. The measuring system comprises a reader-writer arranged outside a microwave dark room, middleware, a rotary table controller, a sliding block controller, a host computer and a drawing printer, wherein an electronic tag, a rotary table, a horizontal guide rail, a bracket, two positioning sensors, the reader-writer antenna and a sliding block are arranged in the microwave dark room. The method reflects a reader-writer response electronic tag zone to a certain degree by measuring feedback points with the same power in a three-dimensional direction of the reader-writer antenna, so the method has deeper realistic meaning than a directional diagram. An electromechanical device ensures automatic performance of the measuring method, a testing environment provides free space and a test result becomes more persuasive and reliable. The measuring system and the measuring method have a reference value for the field application of a wireless radiofrequency recognition system and the layout of a tag.

The invention discloses an abnormal data processing system which comprises an abnormal data client and an abnormal data processing server, wherein the abnormal data client and the abnormal data processing server are connected with each other. The abnormal data client further comprises an abnormal event detection device, an abnormal data collection processing device and a measure implementation supplement device. The abnormal event detection device is used for generating an abnormal event occurring message which is sent into the abnormal data collection processing device after an abnormal event occurs. The abnormal data collection processing device is used for inquiring an event definition library device according to event logos and module codes of the abnormal event to generate an abnormal event case and searching a measure definition library device according to attribute information of the abnormal event case and abnormal event generation causes to find a measure definition message aiming at the event. The measure implementation supplement device is used for implementing measures generated by the abnormal data collection processing device. The abnormal data processing system and an abnormal data processing method can achieve abnormal data processing automation and intelligentization, avoid manual intervention, improve data abnormal processing response speed, and shorten processing time.

The invention discloses an automatic line pulling control method based on provincial and regional integration, which comprises the steps of: sending a power cutting-off and limiting target command to a regional dispatcher by a provincial dispatcher; automatically receiving a task and sending an alarm by the regional dispatcher, and starting a task processing client; looking up task information by the regional dispatcher through the client and sending a confirming message to the provincial dispatcher; through a power cutting-off and limiting assistant decision client, selecting a power cutting-off and limiting sequence table and a line pulling strategy, combining real time remote signaling and telemetering information of an EMS (Enhanced Message Service) system to automatically generate the line pulling strategy of the target task; and sending a remote control command to a remote RTU (Remote Terminal Unit) terminal through a batch remote control technology. The method provided by the invention realizes integrated close loop operation for cutting off and limiting the power, can cut off the target line in real time efficiently, and powerfully guarantees safe and stable operation of the power grid.

The invention provides a door-access control method and device. The door-access control method comprises the following steps of: acquiring the signal intensity of an RFID (Radio Frequency Identification Device) label positioned in a vehicle by a door-access RFID reader; determining a first position of the RFID label according to the signal intensity; determining the current position of the vehicle according to the first position; acquiring the driving direction of the vehicle; and determining the opening time of a gateway corresponding to the driving direction according to the current position. The door-access control method and device provided by the invention have the advantages that the defects of long passing time and low efficiency in the existing door-access system are overcome, and the investment of the system is greatly reduced compared with the traditional long-distance reading mode.

The invention relates to a fully-automatic molten steel temperature measurement and sampling device which comprises a rotating base, a gun rack, a trolley, a gun body, a first motor, a second motor, a laser range finder, storage warehouses, recycling warehouses and a control panel. The trolley is arranged on the gun rack. The first motor is connected with the trolley through a transmission mechanism. The gun rack is connected with the rotating base through a swing mechanism, and the second motor is connected with the rotating base. The gun body is fixed to the trolley and provided with a telescopic gun head. The gun head can be matched with probes. The laser range finder is fixed to the gun body. The storage warehouses and the recycling warehouses are provided with a plurality of storage positions for storing new probes and a plurality of recycling positions for recycling old probes respectively, and the storage positions and the recycling positions are arranged near the rotating base. The first motor, the second motor and the laser range finder are connected with the control panel. The fully-automatic molten steel temperature measurement and sampling device is capable of conducting probe disassembling and assembling automatically and accurately controlling the inserted depth, high in automation degree, high in accuracy, safe to operate and good in working environment.

The invention provides a parallel execution method and device for a timed task on multiple servers. The uniform configuration of server nodes can be realized, limited calculation resources are fully utilized, the atomicity of a task is supported and guaranteed, operation and maintenance cost is reduced, the problem of single point failure is solved, the stagnation of service due to the single point failure is avoided, no manual intervention is required when the server crashes, the splitting of a large task is supported, application developers only need to pay attention to specific business development, and availability and expansibility are good. The parallel execution method for the timed task on the multiple servers comprises the following steps that: receiving the attendance request ofa task living example submitted by each server node, carrying out attendance on the task living example according to a preset rule, adding the task living example which is subjected to successful attendance to a task execution list to enable the corresponding server to execute the task living example; and polling the execution state of each task living example in the task execution list, signing out the task living example which finishes being executed, and removing the task living example from the task execution list.

The invention discloses a method, a device and terminal units for transmitting data, and belongs to the field of terminal units. The method includes starting an interactive interface of a first client side; detecting operation implemented by a user and acquiring a data type of data corresponding to specified operation when the specified operation is detected; transmitting the data and the data type of the data to a second client side via communication connection between the first client side and the second client side, and enabling the second client side to process the data according to the data type of the data. The first client side and the second client side can be interacted with each other via interactive interface. The specified operation includes data dragging operation and data pasting operation on the interactive interface. The method, the device and the terminal units have the advantages that a visual, simple and convenient mode for transmitting the data among the terminal units is provided, manual operation is simple, excessive manual intervention in a transmission procedure is prevented, and the error rate is reduced.

The embodiment of the invention provides a network interface testing method and equipment. The network interface testing method comprises the steps that the electronic equipment acquires multiple link-layer discovery protocol (LLDP) messages sent by a switch, wherein multiple to-be-tested network interfaces of the electronic equipment are connected with ports of the switch respectively, differentto-be-tested network interfaces are connected with different ports, and each LLDP message comprises an identifier of the port sending the LLDP message; the electronic equipment determines network interface connection information according to all the LLDP message and the identifiers of the to-be-tested network interfaces receiving the LLDP messages, wherein the network interface connection information is used for indicating the connection relation of all the to-be-tested network interfaces and the ports of the switch; and the electronic equipment sends the network interface connection information to the main control equipment, and therefore the main control equipment can open or close the ports of the switch according to the network connection information to conduct performance testing on the to-be-tested network interfaces connected with the opened ports. Accordingly, manual intervention is not needed in network interface testing, testers are reduced, and the testing efficiency is improved.

The invention discloses a movable paint spraying machine. The movable paint spraying machine comprises a movable frame, a swinging and rotating unit, a spray gun, a travelling driver, a swinging and rotating driver and a control system. The swinging and rotating unit is connected to the movable frame rotationally. The spray gun is hinged to the swinging and rotating unit. The travelling driver is used for driving the movable frame to move. The swinging and rotating driver is used for controlling the swinging and rotating unit to swing and rotate. The control system is connected with the travelling driver and the swinging and rotating driver electrically to control movement of the movable frame and the swinging and rotating unit. The movable paint spraying machine has the advantages that the movable paint spraying machine has multi-angle multi-direction moving and swinging functions and can spray paint automatically, so that manual work is avoided, and personal injuries are reduced; the spraying speed is high, and paint is smooth and fine in hand feel; the paint is sprayed out in the form of mist, so that the paint can be well sprayed to corners and gaps, and final effect of paint films is good.

Provided is a smart well interval control valve. A sliding sleeve is arranged in a fluid throttler, and the sliding sleeve and the fluid throttler are matched to open / close different throttling holes. The fluid throttler is connected onto a lower joint, and the lower joint is connected onto a lower cylinder body of the interval control valve. All sealing groups are compact in structure and form good dynamic / static sealing together with an upper piston, a lower piston, the sliding sleeve, an interval control valve lower cylinder body and an interval control valve upper cylinder body in conditions of underground high temperature and high pressure through Teflon materials. Two liquid inlet hole ducts are arranged at the position of the end surface of the interval control valve upper cylinder body, wherein one liquid inlet hole duct is used for controlling the valve to be opened, the other liquid inlet hole duct is public and is used for controlling the valve to be closed, and both the two liquid inlet hole ducts are in threaded sealing connection with the interval control valve upper cylinder body through 1 / 4 inch National (American) Pipe Thread (NPT) joints. The fluid throttler is provided with a plurality of throttling holes with different opening degrees, a hydraulic piston is adopted to push the sliding sleeve to move, the liquid inlet amount of formation fluid is adjusted through multistage throttling, and the smart well interval control valve has the advantages of being long in service life, good in sealing performance and the like.

The invention provides a micro-video retrieval method and device based on a micro-video feature database. The micro-video retrieval method and device are mainly used for rapid retrieval of a huge number of micro-videos. The method comprises the steps that firstly, the micro-videos are preprocessed, key frames of the micro-videos are extracted, video frames are formed, and the correlation between each frame and the micro-videos is marked; then, the video frames serve as input of an own coding neural network, feature extraction is carried out through depth network learning, and a binary code base of each frame of the micro-videos is formed; finally, retrieval is carried out based on the Hamming distance k-nearest neighbor algorithm. Compared with the prior art, the depth learning technology is adopted, the manual interference process of video feature extraction is omitted, and rapid and effective retrieval can be carried out on the micro-videos.

The invention provides an automatic single-color mosaic-particle lay-up device and a lay-up method of the automatic single-color mosaic-particle lay-up device. The automatic single-color mosaic-particle lay-up device comprises a stander, a mosaic forming die which is arranged on the stander, at least one automatic mosaic-particle single-track lay-up unit, a loading device and a controller, wherein each automatic mosaic-particle single-track lay-up unit is used for gradually collecting mosaic particles one by one after transporting the mosaic particles one by one, arranging the mosaic particles into rows / columns according to a preset rule and then driving the entire row / column of mosaic particles to enter a loading procedure; the loading device is connected with the stander and used for sequentially transporting and loading the well-arranged entire row / column of mosaic particles in each automatic mosaic-particle single-track lay-up unit into the mosaic forming die; the controller is respectively connected with each automatic mosaic-particle single-track lay-up unit and the feeding device by signals. The automatic single-color mosaic-particle lay-up device is high in lay-up stability, high in lay-up speed and capable of effectively improving the lay-up efficiency and lay-up accuracy of the mosaic particles. The automatic lay-up method is used for substituting the traditional manual lay-up process, so that the problems that the current mosaic industry is low in automation degree and low in production efficiency can be solved.

The invention provides an automatic disc containing system and method of a large-infusion robot, and belongs to large-infusion automatic disc containing systems. The automatic disc containing system comprises a support, a sterilization disc stepping conveyor and a control device; a series robot component is arranged on the support; a vision sensor is arranged on the series robot component, and the sterilization disc stepping conveyor penetrates the support and is located below the series robot component; a large-infusion feeding conveying belt conveyor is arranged between the series robot component and the sterilization disc stepping conveyor; an encoder is arranged on the large-infusion feeding conveying belt conveyor, and a disc changing clearance cache component is arranged on the support; the control device is connected to the control end of the series robot component, the control end of the sterilization disc stepping conveyor and the control end of the control end of the large-infusion feeding conveying belt conveyor; and the encoder and the vision sensor are connected to a communication port of the control device. Full-automatic large-infusion disc containing can be achieved, and the whole process is precise in large-infusion positioning, rapid in disc containing and high in stability; and the number of production personnel in a workshop is reduced, and meanwhile labor intensity of workers is reduced.

Method of automatic recovering use when money cassette is closed, the method enables the device has automatic recovery function when the machine is closed by accident, after several tentative recovery the closed money cassette is activated automatically, then the money cassette can be used normally again. The invention avoids manual intervention, saves money cassette activation or money transportation by manual initialize device, which reduces people workload and improves utilization ratio of the device at the same time.

The invention is suitable for the technical field of biological feature recognition, and provides a novel automatic fingerprint anti-fake and vivo detection method. The method comprises the followingsteps of: S1, acquiring a fingerprint image by utilizing OCT equipment; S2, preprocessing the acquired fingerprint image; S3, carrying out feature value extraction on the preprocessed fingerprint image; and S4, carrying out anti-fake recognition and vivo detection according to the extracted fingerprint image feature value, and outputting a result. According to the method, manual interventions areeffectively solved, the fingerprint anti-fake recognition accuracy is improved, and the system is enabled to have vivo detection ability. The device provides multiple different areas for fingerprint acquisition, so that acquisition equipment can select different areas for different fingerprint tasks and then the flexibility of the acquisition equipment is increased.

The invention discloses a device and method for reducing power consumption of electronic equipment. The method comprises the following steps: obtaining the load state information of a load module; obtaining a voltage regulation signal according to the load state information and a pre-stored logic mapping query table; and regulating the magnitude of the input voltage of the input end of the load module according to the voltage regulation signal. In the invention, the mechanism of logic mapping query table is introduced; and when the load state changes, the magnitude of the input voltage of the load module can be automatically adjusted so as to save energy of the electronic equipment and achieve the purpose of reducing the power consumption.

The embodiment of the invention provides a data processing system and a data processing task execution method thereof, and belongs to the technical field of communication. The system comprises scheduling equipment and a data processing platform, and the method comprises the steps that the scheduling equipment obtains a target timing task and generates a target task queue set corresponding to the target timing task, and the target task queue set at least comprises a to-be-executed queue and an execution queue; the scheduling equipment regularly generates a data processing task based on the target timing task, and adds semaphore corresponding to the data processing task to the to-be-executed queue; when the target semaphore is detected in the queue to be executed, the data processing platform transfers the target semaphore to the execution queue and executes a target data processing task corresponding to the target semaphore; and if the execution of the target data processing task is abnormal, the scheduling equipment adds the target semaphore to the to-be-executed queue again. The abnormal data processing task can be automatically executed again without manual intervention.

The invention relates to a full-automatic coronary artery segmentation method. The method comprises the steps of: segmenting out a heart region; carrying out vessel enhancement processing; automatically detecting seed voxels; and segmenting a coronary artery. Firstly, the heart region comprising the coronary artery is segmented out, a segmented image nearly does not include any noisy point, and both segmentation accuracy and efficiency are superior to a result obtained by methods such as an EM algorithm and the like; by carrying out vessel enhancement processing on the heart region segmented out, a coronary image is obviously enhanced; by carrying out automatic detection of the seed voxels on the image subjected to vessel enhancement processing, a seed voxel set is detected out, the problem that a conventional region segmentation method needs manual intervention is solved, and robustness is improved; and finally, by consistency judgment, the coronary artery is segmented out. Relative to a method for carrying out region segmentation only by using a gray value as the standard, the full-automatic coronary artery segmentation method disclosed by the invention dynamically changes a consistent interval in consistency judgment, and not only avoids manual intervention, but also improves accuracy of segmenting the coronary artery.

The invention discloses an ultra-fine powder processing device which comprises an air flow crushing mechanism, a turbine grading mechanism, a screw feeder, an automatic sack packer, an automatic controller, a bag type dust collector, an integrated platform, an induced draft fan and a gas path controller, wherein the air flow crushing mechanism connected with the turbine grading mechanism is located below the turbine grading mechanism, the feed port of the screw feeder is connected with a feed taper pipe in the air flow crushing mechanism, the bag type dust collector is connected with the turbine grading mechanism through a pipeline, the automatic sack packer is located below the bag type dust collector and the induced draft fan is connected with the bag type dust collector. The ultra-fine powder processing device can process materials in a fully-closed condition without producing dust. The ultra-fine powder processing device uses a PLC control system to intelligentize the production process and adjusts the parameters of crushing, grading and other devices according to the factory production requirements so as to meet the crushing requirements of different raw materials. The processing device is built on a stand, and the position of the processing device can be adjusted according to the factory production requirement.

The invention discloses a method and device for constructing a malicious flow detection model based on PU learning, relates to the technical field of networks, and mainly aims to construct a maliciousflow detection model based on machine learning. According to the main technical scheme, the method comprises the steps of obtaining flow data as a sample data set; training based on the sample data set to obtain a plurality of candidate models; Constructing an evaluation set based on the sample data set; Evaluating each candidate model according to the evaluation set and a preset evaluation condition to obtain an evaluation result corresponding to each candidate model; Selecting a candidate model with an evaluation result meeting a preset condition; And integrating the selected model according to a preset integration method to obtain a malicious flow detection model. The method and the device are used for realizing the process of constructing the malicious flow detection model in the malicious flow detection process.

The invention discloses a method for testing the digital-analog conversion function of a digital-analog conversion chip and a device thereof. The method comprises firstly controlling the input at the digital input terminal of a digital-analog conversion chip to acquire the analog output voltage of the digital-analog conversion chip; then comparing the analog output voltage with reference voltage, and outputting voltage comparison result; and finally judging whether the digital-analog conversion function of the digital-analog conversion chip is at normal state based on the voltage comparison result. The invention can prevent manual intervention, and can rapidly and automatically carry out the digital-analog conversion function test of digital-analog conversion chip. The invention has the advantages of simple device and easiness to carry out.

The present application discloses a data verification method and device. The method includes: obtaining a plurality of first data from a first data set; obtaining a plurality of second data corresponding to the plurality of first data from a second data set; respectively reading The identification information of each first data and each second data is obtained; the identification information of the first data is processed to obtain the first value, and the identification information of the second data is processed by the same operation to obtain the second value. Value; checking whether the first value is consistent with the second value. The above method reduces the calculation amount of data verification and reduces the overhead of machine computing resources.