85results about How to "Realize online update" patented technology

The invention provides a content updating method and system for a Docker container, and a server. When a Docker mirror image of a new version of a network product needs to be released, a developer can perform corresponding triggering operation at a client; the client initiates a corresponding mirror image version updating request to the server; and the server determines that the Docker container needs an updated target Docker mirror image according to the updating request, obtains a differential mirror image layer of the target Docker mirror image and a source Docker mirror image, and calls differential mirror image data corresponding to the differential mirror image layer from a mirror image warehouse. According to the method and the system, the source Docker mirror image corresponding to the Docker container is directly updated to the target Docker mirror image according to the differential mirror image layer data, the Docker container does not need to be restarted, namely, memory data in the Docker container is not lost, and normal external services of businesses are not influenced, so that online updating of the Docker container is realized.

The invention relates to the technical field of network security, in particular to an enterprise internal user abnormal behavior detection method and device, discloses an enterprise internal user abnormal behavior detection method, and further discloses an enterprise internal user abnormal behavior detection device. The enterprise internal user abnormal behavior detection device comprises a behavior log acquiring and preprocessing module, a behavior detail modeling module, a service state transfer prediction module and a malicious behavior score discrimination module. According to the enterprise internal user abnormal behavior detection method and device, an unsupervised machine learning method is used, a user behavior model is built by fully utilizing unmarked unhistorical behavior log data in an enterprise, the accurate rate of abnormal behavior detection is increased, the false reporting rate and the missing reporting rate are decreased, and an effective means is provided for detecting enterprise internal threats.

The invention provides a high speed data transmission receiver and aims to provide the data transmission receiver which is powerful in function and strong in universality and is designed modularly. The technical scheme provided by the invention is that in a simulating part, a DDS (Direct Digital Synthesizer) generates a variable clock to an ADC (Analog to Digital Converter) for sampling; high speed data stream after ADS sampling is sent to a data distributor DMUX (Demultiplexer) in a digital part to reduce the speed, and parallel ADC data stream is sent to a demodulating FPGA1 (Field Programmable Gate Array) to demodulate; demodulated data is decoded through a decoding FPGA 2 and output to a PFGA3 for protocol processing and packaging; the PFGA3 is sent to a data recording device to store through a photovoltaic conversion module, and the packaged data is output to a remote control center; a DSP (Digital Signal Processor) receives various control commands issued by a host computer monitoring program and dynamically loads the programs of the demodulating FPGA1 and the decoding FPGA2 online to write frequency control words into a DDS frequency control word register corresponding to the FPGA3; and the FPGA3 converts an updating command sent by the DSP into a control time sequence corresponding to the DDS to generate a corresponding sampling clock which is sent to the ADC for sampling.

The invention discloses a USB (universal serial bus) compound device integrated with a U (USB) disc and a data acquisition module, belonging to the technical field of electronics. The USB compound device comprises a USB interface module, a USB controller module, a main controller module, at least one storage medium module, at least one data acquisition module, a display screen module and a keyboard module in a circuit structure. According to the USB compound device, the integration of the U disc and the data acquisition module is realized, and the compound device is enumerated to be the U disc and the data acquisition module after being connected with a computer. Related data and collected data of the device are stored in the U disc, and a user can directly install a driver of the data acquisition module, search data and read the collected data through the U disc, or can be directly in communication with the data acquisition module. The USB compound device integrated with the U disc and the data acquisition module avoids the resource waste caused by the data stored in the compact disc and the paper manual, facilitates the management of the data, the search and reading of the manual and the installation of the USB driver by the user, realizes the updating of the data in the U disc, ensures that the user can obtain the latest data and timely updates the errors and leaks of the data.

The invention relates to a predicating method for TLE (transfer line exchanger) outlet temperatures and operation cycles of ethylene cracking furnaces. The deducing of TLE heat transfer processes of industrial ethylene cracking furnaces is simplified, and is combined with empirical models of TLE coking and depositing of the industrial ethylene cracking furnaces so as to deduce parameterized prediction models of the TLE outlet temperatures and the operation cycles of the industrial ethylene cracking furnaces. Actual production data are utilized to estimate and identify model parameters, time factor corrections are performed on the identified models additionally, and online and real-time correction updates can be carried out on the TLE outlet temperature parameterized prediction models as required to expand adaptability and accuracy of the models. When TLE maximum permission upper limits and maximum operating cycles are given, the TLE outlet temperature parameterized prediction models can be used for predicating follow-up operating time of TLE systems before next decoking online and predicating the TLE operating cycles. The predicating method is simplified, reasonable in deducing, high in construction applicability, simple to operate, easy to copy, and wide in adaptability.

A concentrate yield online prediction method is characterized by including the steps that firstly, process index data of ore dressing working procedures and corresponding concentrate yield actual values are acquired; secondly, the acquired process index data of the ore dressing working procedures and the acquired corresponding concentrate yield actual values are combined; thirdly, concentrate yield values are online predicted in real time. According to the method, based on parameter self-tuning, the acquired process index data of the working procedures in the ore dressing production process are updated and then added to a training sample set for training participation, and a model can be online updated. According to different attributes of the process index data of the working procedures, parameters of the concentrate yield prediction model are adjusted in a self-adaptive mode, the parameters of the model are online corrected, the prediction model can well adapt to changeful working conditions, prediction accuracy of the concentrate yield is further improved, preparation engineers can make more reasonable decisions, and therefore enterprise revenues can be maximum.

The invention provides an online diagnosis method for a mechanical fault of a high-voltage circuit breaker, which comprises the steps of S1, initializing an online diagnosis model; S2, for a new sample, acquiring a feature vector by using a pretreatment method, putting the feature vector into the online diagnosis model to calculate a discrimination function value and a fault diagnosis value; S3, inputting the discrimination function value and the fault diagnosis value of the new sample into an update triggering module to carry out calculation, judging whether an update triggering condition is satisfied or not, switching to a step S4 if the update triggering condition is satisfied, and resetting an update triggering counter; outputting a model diagnosis result directly if the update triggering condition is not satisfied so as to act as a final diagnosis result; and S4, updating the online diagnosis model, and switching to the step S2 so as to carry out diagnosis again on the current sample. According to the online diagnosis method, a historical training result can be fully utilized, the storage space requirement and the calculation time of the model can be greatly reduced, the calculation efficiency is improved, and online update of the fault diagnosis model is realized, thereby being better applied to mechanical fault diagnosis for equipment.

The invention discloses a master-slave distributed control inspection robot which comprises a robot body, a detection device, a master-slave distributed body control system based on industrial ethernet, and a multi-medium monitoring system. The detection device is used for detecting movement information of the robot body, environment information of a power distribution room and cabinet informationof the power distribution room; the master-slave distributed body control system based on the industrial ethernet receives the movement information of the robot body, the environment information of the power distribution room and the cabinet information of the power distribution room detected by the detection device, and carries out movement control on the robot body according to the movement information of the robot body; and the multi-medium monitoring system receives the movement information of the robot body, the environment information of the power distribution room and the cabinet information of the power distribution room so as to monitor the power distribution room. The master-slave distributed control inspection robot provided by the invention realizes the functions such as automatic movement, accurate positioning, information acquisition, wireless communication, automatic charging and real-time monitoring of the robot.

The invention relates to a preschool education smart interaction system and method. The system comprises a remote controller, a projection lens and a main control module, wherein the remote controller is used for being wirelessly connected with the main control module and sending a corresponding control instruction to the main control module, the projection lens is used for conducting projection display on a functional interface according to a projection instruction sent by the main control module, the main control module is used for sending the projection instruction to the projection lens and starting a corresponding function application module according to the control signal sent by the remote controller, starting a camera at a preset moment in the function application running process, and controlling the camera to take pictures after camera taken pictures and a camera virtual key are projected through the projection module. Projection is adopted as the course display mode, and therefore the effect of protecting vision of children can be achieved; the AR technology is applied to the preschool course education, and therefore the real site scene can be simulated; the Unity technology is applied to the preschool course education, and therefore interaction and participation of courses are enhanced, and the learning efficiency of children is improved.

The invention discloses a motion control system and method capable of supporting cognition. The system comprises an Ethernet interface unit, an Ethernet control unit, an SRAM storage unit, a main control unit, a control unit, an indicating lamp unit, a power supply unit, a motion control function library module, a control module, an EtherCAT bus communication module, and a program monitoring module. The main control unit is in star-shaped connection with the Ethernet control unit, the SRAM storage unit, a communication interface conversion unit, a key unit, the indicating lamp unit and the power supply unit. The power supply unit supplies power to all units. The system can carry out the real-time collection and transmission of data needed by a servo driver, and also can carry out the unified management of a CANopen application layer model defined by the data. The invention also can proposes a solution capable of supporting cognitive learning.

The invention discloses an offline voice recognition model updating method, a household appliance, a server and related equipment, wherein the method comprises the following steps: collecting voice data of an external environment of a household appliance; uploading the collected voice data to a server, wherein the voice data is used for indicating the server to carry out model training so as to obtain an updated voice recognition model; and receiving the updated voice recognition model sent by the server. According to the method in the invention, the server is used for collecting the voice data sent by the household appliance as training data, and model training is carried out according to the training data so as to obtain the updated voice recognition model, which is sent to the household appliance, so that the household appliance receives the updated voice recognition model sent by the server, the local offline voice recognition model can be replaced with the updated voice recognition model, so that online updating of the offline voice recognition model in the household appliance is realized, the replacement of the new and old models is completed, and the workload of offline model training of the household appliance is reduced.

The invention discloses a method and a system for online cloud updating of an AR application program. The method for the online cloud updating includes: enabling a client to obtain the version number of the AR application program of a server, comparing with the version number of the local AR application program, if the version numbers are inconsistent, sending an updating request to the server; sending the map matching relation between the identification data of the AR application program of the server and AR resource to the client in the form of data table; enabling the client to analyze the AR application program from the bottom layer, and constructing a simulative programmable environment in a buffer memory space; compiling and packaging the AR application program again according to the data table sent from the server. By means of the method and the system for the online cloud updating of the AR application program, the AR application program is analyzed through simulating the programmable environment in the client, the re-compiling and re-packaging are realized according to the mapping relation data table obtained from the server, and then the AR application program realizes the online updating; the current method of downloading an updated installation package to install again is replaced, and accordingly the flow rate is saved, and the operation is facilitated and is effective.

The invention discloses a parking lot intelligent control system based on a programmable map. The structure and the parking places of a parking lot are changed, a parking lot map PM file is imported through a map drawing subsystem, the map data are analyzed by the map drawing subsystem and then the parking lot map is drawn again. Then the new map data are exported to a U-disk through the map drawing subsystem. The U-disk is accessed to a node central control subsystem, the FAT32 file format is analyzed by the a node central control subsystem to acquire the map data PM file in the U-disk, and the node central control subsystem updates the map data. Front-end equipment acquires the parking place data in real time and transmits the parking place data to the node central control subsystem. The node central control subsystem converts the data transmitted by the front-end equipment into the data which can be saved by a cloud platform through data analysis and then performs data interaction with the cloud platform. The operation efficiency of the parking lot can be effectively enhanced and the system maintenance difficulty and the relevant cost can be reduced.

The invention provides a neural network increment-type feedforward algorithm based on sample increment driving. According to characteristics of input samples, input weights and hidden layer thresholds of a neural network are obtained by a least square method, and initialization of model parameters is completed; and the input weights and hidden layer thresholds of the model are updated according to increments between new samples and old samples, function relations between the model parameters and input samples are established, and functions of sample self-adaptability and online feedforward adjustment are realized. The algorithm provided by the invention has the advantages that the prediction precision is high, the generalization capability is high, and online feedforward adjustment is available.

The invention discloses an online trajectory prediction method based on particle filtering. The method comprises the steps: 1) building a trajectory prediction model, taking a longitudinal position x,a lateral position y, a vehicle speed v and an acceleration a of a historical time domain [-T, 0] as the input, and outputting the longitudinal position x, the lateral position y and the vehicle speed v of a future time domain [0, T]; and 2) correcting and updating the state of the trajectory prediction model by using the current measurement quantity. When the track is predicted, the informationof one time sequence can be input, the influence of the information of the previous moment on the information of the next moment is considered, and the prediction accuracy of the model in the dynamicenvironment is improved; in a nonlinear system in the presence of interference and noise, a statistical method is used to solve the prediction filtering problem, and an accurate solution of a state can be approached.

The invention discloses a control method for a neural network global sliding mode of a micro gyroscope based on linearization feedback. The control method comprises the following steps of S101, establishing an ideal dynamical equation of the micro gyroscope; S102, establishing a dimensionless dynamical equation of the micro gyroscope according to Newton's law in a rotation system; S103, establishing a neural network global sliding mode control system based on the linearization feedback according to the ideal dynamical equation and the dimensionless dynamical equation, designing a control law, and taking the control law as the control input of the micro gyroscope; S104, designing a self-adaptive law based on the lyapunov function theory, thereby enabling the established control system to perform online update. The control method disclosed by the invention has the advantages that the universality is realized, and transient characteristic, robustness and stability of the system are improved.

The invention discloses a programmable logic device configurator. The device comprises a microcontroller interface module (1), a working register array module (2), a program memory interface module (3) and a configuration time sequence generator module (4), an x80 series microcontroller can be realized; wherein the general Flash type program memory and the American Xilinx Company Artix7/Kintex7/Virtex7 series programmable logic devices are seamlessly connected together; a parallel high-speed programmable logic device slave SelectMap configuration circuit is formed, and after a user system is powered on and reset, the power-on reset program loading function of a corresponding programmable logic device of the user system can be directly completed; and in the normal working process of the user system, the user system autonomously controls and completes the functions of on-line program loading and function resetting of the corresponding programmable logic device, so that the target code on-line updating function of the corresponding programmable logic device is realized.

The invention discloses a vehicle intelligent product remote service system and an operation method thereof, comprising an adapter, a client and a network server, one end of the adapter and the vehicle are connected through a vehicle CAN bus with an OBDII port, and the vehicle CAN bus is connected through a CAN module The electronic components of the vehicle form a local area network, and the other end of the adapter is connected to the client through Bluetooth and/or serial port. The client is used for data processing and analysis and sends the results to the network server through the network. The network server is used for data link and database management. The server is connected to the remote client through the network to form a remote service system for vehicle intelligent products. Through CAN bus technology and Bluetooth transmission technology, the data monitoring, parameter configuration, fault diagnosis and program flashing of vehicle electronic control products can be realized, and it can communicate through the network. The technology realizes the remote operation of the above four functions, provides remote expert guidance services for on-site staff, and greatly improves the after-sales service level of vehicle electronic control products.

The invention discloses a topological structure updating system and method for stream processing. The system comprises a task manager used for detecting a first state of a first state machine and generating a control message according to the state, wherein the first state is used for triggering a topological structure for stream processing to be managed; The task executor used for receiving the control message; And triggering a second state of a second state machine under the triggering of the control message, and executing an action corresponding to the second state on the topological structure according to the second state. The technical problem that an existing big data stream processing architecture is not suitable for online stream topology updating is solved.