1620results about How to "Reduce manual involvement" patented technology

The invention discloses a distributed type dynamic cache expanding method and system supporting load balancing, which belong to the technical field of software. The method comprises steps of: 1) monitoring respective resource utilization rate at regular intervals by each cache server; 2) calculating respective weighing load value Li according to the current monitored resource utilization rate, and sending the weighting load value Li to a cache clustering manager by each cache server; 3) calculating current average load value of a distributed cache system by the cache clustering manager according to the weighting load value Li, and executing expansion operation when the current average load value is higher than a threshold thremax; and executing shrink operation when the current average load value is lower than a set threshold thremin. The system comprises the cache servers, a cache client side and the cache clustering manager, wherein the cache servers are connected with the cache client side and the cache clustering manager through the network. The invention ensures the uniform distribution of the network flow among the cache nodes, optimizes the utilization rate of system resources, and solves the problems of ensuring data consistency and continuous availability of services.

The invention discloses an intelligent depot output-input system of a digital grain depot. The intelligent depot output-input system of the digital gain depot comprises an intelligent depot output-input access control system, an intelligent depot output-input automatic sampling system, an intelligent depot output-input examination assay system, an intelligent depot output-input unattended operation automatic metering system, an intelligent depot output-input system control terminal, an intelligent depot output-input goods receiving-sending management system, an intelligent depot output-input system one-stop service platform and an intelligent depot output-input system control center. The intelligent depot output-input access control system, the intelligent depot output-input automatic sampling system, the intelligent depot output-input examination assay system, the intelligent depot output-input unattended operation automatic metering system, the intelligent depot output-input system control terminal, the intelligent depot output-input goods receiving-sending management system and the intelligent depot output-input system control center are connected with the intelligent depot output-input system one-stop service platform. According to the intelligent depot output-input system of the digital grain depot, a computer, the RFID internet of things technology, the communication technology and the information technology are converged together, networking, automation and intelligent management of the depot output and input are achieved, and labor participation is reduced.

The invention relates to the technical field of classified garbage bins, in particular to a garbage bin capable of achieving intelligent classified recovering and a classification management method. Classified garbage bin bodies are included, each the classified garbage bin body is provided with a garbage input door, a detecting device, a garbage putting device and a controller, wherein the controller sends an opening signal to the garbage input door of the corresponding classified garbage bin body for garbage putting after receiving a garbage putting type signal selected by a garbage puttingperson and sending a signal for detecting the garbage class to the detecting device, after detecting is completed, the controller sends a signal for controlling opening and closing of the garbage putting device to the garbage putting device according to a detection result, and simultaneously a closing or delay closing signal is sent to the garbage input door. By means of the garbage bin and the classification management method, whether the put garbage class is right or not can be automatically identified, the putting person is reminded to put the garbage again as for mixing garbage or garbagewith classification errors, reward points are used for increasing the active recycling awareness of people to the garbage, and mastering of the garbage classification knowledge by people is promoted.

The invention discloses an intelligent unattended operation autoweighing system and method for put-out and put-in of a warehouse and relates to the field of industrial metrology, automatic control and the Internet of Things. The system comprises an intelligent starting module, a vehicle running management module, a vehicle guide indication module, an anti-cheating module, a vehicle license plate recognition module, an RFID radio frequency card recognition module, an IC card reading module, a video monitoring ant-cheating module, an information display module, a voice interaction module, an intelligent lighting module, an instrument module and a control host. Through the RFID technology and the automatic detection and analysis technology, automatic recognition of vehicle numbers, weighing information verification, precise positioning of vehicles, personnel and vehicle cheating supervision, snapshot picture analysis, precise value reading of instruments and the like are achieved in the motor truck scale weighing process, unattended operation autoweighing of a motor truck scale is achieved with the advanced weighing method and the advanced control process, manual participation is reduced, and accuracy, reliability and efficiency of the motor truck scale weighing are improved.

The invention discloses a JMX (Java Management Extensions)-based customization real-time monitoring and automatic exception handling system. The JMX-based customization real-time monitoring and automatic exception handling system comprises a data sampling information library, a monitoring model library, an exception handling library, a network communication module, a data collection module, a data exception handling analysis module, a page presentation module and a monitoring database, wherein monitored systems are used for starting a JMX access port, and establish remote access connection between the monitoring system and the monitored systems; the data sampling information library is a warehouse for storing data sample information; the monitoring model library is a warehouse for storing monitoring models corresponding to all the monitored systems; the exception handling library is a warehouse for storing exception handling methods and flows; the network communication module is used for constructing and managing network data transmission between the monitoring system and each monitored system, and maintaining normal network communication between the monitoring system and all the monitored system; and the monitoring database is used for storing data monitored and acquired by the real-time data collection module.

The invention provides a full-automatic camera parameter calibration method based on a colored calibration board. The method includes the following steps that firstly, the colored chess calibration board is drawn, wherein four neighborhoods of each corner are a combination of different colors; secondly, the movement of the colored chess calibration board is controlled by a mechanical arm to set presetting bits and capture calibration images; thirdly, corner detection is carried out according to the calibrated images obtained in the second step; fourthly, fake corners are removed according to whether 'color codes' of the corners are in a 'color code' library of the calibration board or not; fifthly, all parameters for camera calibration are obtained based on space coordinates of the true corners obtained in the fourth step and pixel coordinates of the true corners in the calibration image; sixthly, the camera parameters are acquired to complete camera calibration.

The invention relates to a medical affair intelligent insurance checking method and system. The method comprises the following steps: receiving a health check-up report sent by a front end, wherein the health check-up report is corresponding to a health check-up letter, and the health check-up letter is generated according to an insurance application needing health check-up; obtaining health check-up information in the health check-up report and an insurance type in the insurance application needing the health check-up; according to the insurance type, obtaining evaluation rules corresponding to the health check-up information; and comparing the health check-up information with the evaluation rules, and according to a comparison result, generating an insurance checking decision for the insurance application needing the health check-up. By using the method provided by the invention, the insurance checking efficiency of insurance applications receiving health check-up letters can be effectively improved.

The invention discloses an automatic injection-molding production system and an intelligent production method. The production system comprises a cloud server, a central control system, an automatic feeding and blanking system, injection molding devices, mechanical arms, a conveyer system, and a packaging device. The automatic feeding and blanking system, the injection molding devices, the mechanical arms, the conveyer system, the packaging device and the central control system are connected by a field bus. The central control system is used for receiving sensing data fed back by the automatic feeding and blanking system, the injection molding devices and the mechanical arms, sending the sensing data to the cloud server and performing optimization scheduling control on the corresponding devices. The cloud server is used for extracting and analyzing the sensing data sent by the central control system to form a corresponding data file, generating an optimization control decision of the corresponding devices, and sending the optimization control decision to the central control system. By adopting the system and the method of the invention, intelligent injection-molding production can be carried out, manual participation is greatly reduced, and the production efficiency is improved. The system and the method can be widely used in the industry of automatic injection-molding production.

The invention discloses a seal detecting production line. The seal detecting production line comprises a working platform, a conveying belt for products to be tested, a waste conveying belt, a seal detecting device, a mechanical arm, and a waste pushing mechanism. The mechanical arm is used for grabbing the products to be tested and enabling the products to be tested to pass in and out the seal detecting device. The waste pushing mechanism is used for enabling tested sub-quality products to be pushed into the waste conveying belt from the conveying belt for the products to be tested. The seal detecting production line enables the mechanical arm, the simple seal detecting device, and the product conveying belt to be combined together in an organic mode, a programmable logic controller (PLC) is utilized for controlling a working time sequence of each unit, and automation degree and system reliability are improved. The products to be tested can be effectively protected form being damaged, grabbing of the mechanical arm depends on the opening and the closing of an executor at the tail end, and the mechanical arm not only is suitable for grabbing canning products, box-packed products, and bottled products, but also can be used for grabbing bagged products, and is strong in generality.

The invention discloses a testing method and the device for the software system, being compliant in the software system based on the common object request broker architecture(CORBA), the method comprises: setting a base data; setting a corresponding testing script for the IDL interface of the CORBA; determining a data templet according to the base data; when testing, the base data is inputted to the CORBA software system, the IDL interface of the CORBA software system outputs a testing data driven by the testing script; comparing the data templet and the testing data, determining the comparing result. The testing device comprises: a base data collecting unit, a testing script interpreter using the testing script to drive the IDL interface, and a data processing unit for comparing the data templet and the testing data. The invention uses a separating mechanism implemented by the IDL interface definition of the CORBA and the IDL interface to implement the auto testing of the software in a script driving way, which can enhance the testing efficiency and reduce the testing cost.

The invention discloses a bearing roller pin size detection system and method based on machine vision. A single low-cost 2D camera is used for collecting images. An industrial camera is used to acquire the images. The acquired images are stored in an industrial personal computer. The industrial personal computer processes the images. Background interference is removed from the processed images byusing horizontal and vertical projection methods, angle correction is performed on an extracted ROI area. A ROI image is converted into a binary image by using a threshold segmentation method, and filling is performed to ensure that an internal color of a contour of a roller pin is white. Contour extraction is performed on the processed image. A detection size of the roller pin is calculated according to a proportional relation between a visual field range of the camera and an image pixel, the roller pin with a qualified size arrives at a storage box along with a transmission belt, and for theroller pin with a unqualified size, an elimination signal is sent to PLC by the industrial personal computer, and an elimination mechanism is controlled to eliminate the roller pin through the PLC. The roller pins moving on an assembly line are detected and removed in real time.

The invention discloses an automatic sample injector which is used for provides a sample to be tested for an analytic instrument in test sample analysis process. The sample injector comprises a sample bottle, a sample bottle support, a sample injection needle, a mechanical arm and a control system. The sample bottle is used for containing the sample to be tested. The sample bottle support is used for supporting the sample bottle. The sample injection needle is used for acquiring the sample to be tested and delivers the sample to be tested to the analytic instrument through a sample sending pipeline. The mechanical arm is used for mounting the sample injection needle and can move in a certain space, so that positioning of the sample injection needle at different positions is achieved. The control system controls the mechanical arm to move and controls sampling of the sample injection needle. Therefore, manual replacement of the sample to be tested is not required in test sample analysis, and accordingly sample injection efficiency is improved. Based on the sample injector, the invention further comprises a sample injection testing system comprising the automatic sample injector and the analytic instrument, and automation and unattended management of a laboratory in sample injection testing process are achieved.

The invention discloses a method, device and terminal for detecting game plug-in. The method comprises the following steps of: acquiring data to be detected of an object to be detected; detecting datato be detected based on a plurality of unsupervised learning models to obtain a plurality of characterization vectors corresponding to the plurality of unsupervised learning models, wherein the plurality of unsupervised learning models are used for training data of a plurality of objects to obtain a plurality of characterization vectors; carrying out clustering processing on a plurality of characterization vectors from a preset dimension to obtain a clustering result; obtaining the doubt degree corresponding to the preset dimension according to the clustering result; and judging whether the object to be detected is an abnormal object or not according to the doubt degree corresponding to the preset dimension, wherein the abnormal object has a plug-in behavior. The method, device and terminal for detecting game plug-in solves the technical problem of low accuracy of detecting the game plug-in in the prior art.

The invention discloses a method and a system for detecting plug-ins in games, an electronic device and a storage medium. The system comprises a plug-in model training module and an online detection module. The plug-in model training module is used for training a player behavior sequence to determine a target plug-in detection model, and the target plug-in detection model outputs the probability of a to-be-detected target player being a plug-in player; the online detection module connected with the plug-in model training module is used for acquiring the probability of the target player being the plug-in player according to the target plug-in detection model and a newly-input player behavior sequence of the target player, and determining whether or not the target player is the plug-in player according to the probability of the target player being the plug-in player. By the method and the system, the technical problems of low efficiency and accuracy in game plug-in detection in the related art are solved.

The invention relates to an automatic testing method and device in a PRM performance test, the method soloves disadvantages of errors and law efficiency when testing in a manually constructed testing entironment. The device includes one or more channel simulation units, one or more attenuation arraies, one or more terminal array units, a control monitoring centre which provides an interface for users to programme test scripts based on testing examples, for outside, and controls adjustable devices via a standard interface, for inside. A testing method corresponding to the device is proposed, which comprises an automatic aligning step and an automatic testing step which are performed by the control monitoring centre according to a receiving signal code power value of a main common control physical channel at a near point and a characteristic that uplink and downlink path loss are symmetrical. The technic of the invention completely replaces manually testing manner in a current technic, is capable of simulating an actual circumstance of a network more accurately and factually, and performing a test with multi-RRM algorithm interaction.

The invention relates to a reservoir dam deformation monitoring method and system. The monitoring method includes the following steps that: 1) a reservoir dam deformation monitoring device is set; 2) the initial circular light spot images of each reference point are obtained; and 3) reservoir dam deformation monitoring is carried out. The reservoir dam deformation monitoring system includes a laser emitting device, reference point detecting devices and a main control system; the laser emitting device is arranged at one end of a dam and is used for emitting collimating laser light adopted as a reference line; a plurality of reference points with equal intervals are arranged one a ray with the laser emitting device adopted as an end point; one reference point detecting device is arranged at each reference point; the reference point detecting devices are used for detecting the subsidence and horizontal displacement of the dam; and the main control system is connected with the laser emitting device and the reference point detecting devices through a wireless communication mode and is used for transmitting detection commands, receiving detected data and performing analysis processing on the detected data. With the reservoir dam deformation monitoring method and system of the invention adopted, the automatic detection of the subsidence and horizontal displacement of the dam can be realized, the measurement accuracy of the reservoir dam is improved, and monitoring costs can be reduced.

The invention discloses a diagnosis method and device of an electric car. The diagnosis method comprises the steps that mode sensitive features are extracted according to state data flow expressing the operation states of the electric car; feature evaluation is carried out on the operation states of the electric car according to the mode sensitive features; a mode bank comprising the normal mode and a plurality of fault modes is built according a result of the feature evaluation; multiple similarities between the multiple modes in the mode bank and the data flow expressing the real-time operation states of the electric car are calculated and compared; a fault warning signal is generated according to the comparison result. The diagnosis method and device of the electric car achieve real-time forecast of faults, improve the efficiency, and provide basis for remote diagnosis decision making of the electric car. Meanwhile, manual participation is reduced, and potential safety hazard generated by labor is avoided.