133results about How to "Realize intelligent processing" patented technology

The invention discloses a remote data acquisition and analysis system for a numerically-controlled machine tool. The remote data acquisition and analysis system comprises an equipment layer, a data acquisition layer, a server layer and a client layer, wherein the equipment layer comprises the numerically-controlled machine tool; the data acquisition layer comprises a data acquisition device, and the data acquisition device is used for acquiring data of the numerically-controlled machine tool; the server layer is communicated with the data acquisition layer and is used for receiving and processing data transmitted by the data acquisition layer and storing the processed data in a database; the client layer interacts with the server layer to feed processing results of the server layer back toa user.

The invention relates to a relevant technical field of power grids, in particular to a power grid running maintenance automatic system, which comprises a power grid running monitoring analysis subsystem, a power transforming equipment online monitoring analysis subsystem, a power transmission equipment online monitoring analysis subsystem and an emergency command subsystem. According to the power grid running maintenance automatic system disclosed by the invention, the application functions of different services are established on a basic platform through the design of platformization, integration and standardization. Meanwhile, a plurality of automatic functions such as power transmission and transforming equipment running state acquisition and analysis, and emergency command are integrated in the system, so that system support information is acquired and shared sufficiently, and functions such as intelligent processing and auxiliary analysis decision of information, and intelligent alarming and fault diagnosis based on power grid running information are realized.

The invention discloses a public parking lot berth quantity confirming method. The method includes a first step of confirming factors which influence the berth quantity of a public parking lot, investigating data of the factors and dividing the data into a training data group and a prediction data group, a second step of building a back propagation (BP) neural network which comprises an input layer, a hide layer and an output layer, a third step of carrying out preprocessing to the data of the training data group, a fourth step of inputting preprocessed training data into the BP neural network to generate the data of the output layer, comparing the data of the output layer with an actual value, adjusting the variable quantity and the weight of the hide layer, and carrying out iteration training until errors meet the accuracy requirement, and a fifth step of inputting data of the prediction data group into the BP neural network to be subjected to processing and generate the data of the output layer. The data is the berth quantity of the public parking lot. The public parking lot berth quantity confirming method is simple in modeling, parameters are easy to obtain and collect, and intelligent processing to the big data is achieved. The public parking lot berth quantity confirming method can be widely applied to urban construction, large commercial district programming or district programming.

The invention discloses a milling flutter recognition method based on variation modal decomposition and energy entropy, and belongs to the technical field of machine tool machining flutter recognition. The milling flutter recognition method comprises the following steps of S1, establishing a VMD mathematical model; S2, establishing a mathematical model of the energy entropy; S3, conducting three sets of milling machining experiments representing three cutting states, including stable cutting, a weak flutter and a severe flutter, and obtaining three sets of milling force signals through a dynamometer; S4, conducting FFT analysis on the three sets of milling force signals, and proving that the three sets of milling force signals represent the states of stable cutting, the weak flutter and the severe flutter respectively; S5, determining the number K of optimal modals of VMD decomposition and a penalty factor alpha through a VMD parameter automatic selection method based on a kurtosis value; S6, solving instantaneous frequencies of multiple IMF, and determining a milling flutter characteristic frequency band; S7, adopting a hammering experiment to obtain the modal of a knife; S8, extracting a flutter characteristic vector of each IMF based on the energy entropy. According to the milling flutter recognition method based on the variation modal decomposition and the energy entropy, the VDM decomposition effect is improved, and automatic flutter recognition is achieved.

The invention discloses a subway shield door fault monitoring and early warning intelligence system. The system comprises a user login and quit module, a parameter management module, a platform operation monitoring module, a door control system monitoring module, an integration query statistics module, an external interface isolation module, a system setting management module, a fault diagnosis module and a nerve network fault early warning module. When a subway shield door component or a component reaches early warning setting or the subway shield door generates a fault, the platform operation monitoring module or the door control system monitoring module transmits emitted early warning information or fault information to the fault diagnosis module and the nerve network fault early warning module so as to carry out classification and grading, and then a result is fed back to a user through a display. In the invention, a fault type and a fault address can be rapidly and accurately determined; early warning can be performed on a predictable fault in advance; and simultaneously, through data statistics and analysis, a data basis can be provided for establishing rail traffic large data based on an aerospace vehicle ground integration private network.

The present invention discloses an intelligent processing method and system of video data. According to the method, an alarm rule is set at an intelligent camera. The method comprises the steps that the intelligent camera carries out video data collection, analyzes the collected video data in real time, and generates intelligent data if the alarm rule is satisfied, and the intelligent data comprises an encoder identification and movement trajectory information; the intelligent camera capsulates the video data and the intelligent data together to be data stream and sends the data stream to the frame analysis component in a cloud storage system; the frame analysis component decapsulates the received data stream, obtains the video data and the intelligent data, and the video data and the intelligent data are stored in a storage component; the storage component sends the storage addresses of the video data and the intelligent data to an index server to carry out respective recording. According to the scheme of the invention, the collected video data can be intelligently processed in real time.

The invention discloses an ultrafast laser micropore machining method and device based on optical coherence tomographic scanning. According to the ultrafast laser micropore machining method and device, the pore size, the pore bottom morphology and other features in the pore machining process can be monitored in real time by adopting an imaging system based on optical coherence tomography; the laser power, the scanning mode and other pore machining parameters can be under the feedback control according to the monitoring results; and then the problem about damage to a surface wall can be effectively solved when the micropore machining precision is guaranteed. The ultrafast laser micropore machining method and device disclosed by the invention are applicable to the high-quality machining of blade air-film pores, auto oil nozzle micropores and the like.

The invention discloses a furnace hearth flame detecting method based on an intelligent-control computer vision technology. The furnace hearth flame detecting method comprises the following steps of: using a CCD (Charge Coupled Device) camera to take a picture for furnace hearth flame by an optical fibre image sensor, and transmitting the taken image information signal to a real-time signal processor; using a wavelet packet arithmetic to perform de-noising processing to the signal of the image information in the real-time signal processor; and using a BP (Back Propagation) neural network module to detect and distinguish the de-noised image information. The computer vision technology based on the wavelet packet and the BP neural network is applied to the image information analysis and treatment of the power plant furnace hearth flame, so that the intelligent treatment of the power plant furnace hearth flame information can be achieved, and the signal noises in background flame can be effectively removed to acquire a more real and accurate signal; the combustion condition of each combustor can be relatively grasped in a quantitative manner to keep the best combustion condition of a boiler, so that the safe and high-efficient operation of the device is achieved.

The invention belongs to the technical field of intelligent machining and manufacturing and discloses an all-electric digitization two-freedom-degree force control grinding head device. The all-electric digitization two-freedom-degree force control grinding head device is used for grinding and polishing complex curved surface parts. The all-electric digitization two-freedom-degree force control grinding head device comprises a two-freedom-degree servo platform, a force sensor, a grinding head motor, a grinding head and a control assembly. The force sensor is connected with the two-freedom-degree servo platform and the grinding head motor. The grinding head is connected to the grinding head motor. The control assembly is connected to the force sensor, the grinding head motor and the two-freedom-degree servo platform. The all-electric digitization two-freedom-degree force control grinding head device is high in automation degree, low in cost, high in machining efficiency and relatively high in flexibility, the machining deformation of the workpieces and the stress concentration of a machining area can be reduced, and nonuniformity of polishing is avoided.

The invention provides an on-satellite small cluster information processing system, and belongs to the technical field of on-satellite real-time and near-real-time information processing. The system aims to solve the technical problem that an existing remote sensing satellite is weak in on-satellite information processing, long in image data acquisition period and poor in real-time performance. The system comprises a high-performance X86 application layer computer, an embedded multi-core DSP computer, an external interface unit, a power supply unit and a VPX high-speed data exchanger, whereinthe VPX high-speed data exchanger adopts an OpenVPX system-level bus standard, and achieves mutual connection of high-speed data buses, satellite keeping control buses and power supplies of all functional modules in the system. The on-satellite small cluster information processing system can achieve intelligent processing of on-satellite remote sensing images, an open hardware platform architecture based on the OpenVPX bus standard is utilized, the functions and the calculation of the hardware platform are achieved by increasing and decreasing the number of the embedded multi-core DSP computers so as to meet different requirements of an optical remote sensing satellite for data processing tasks, and the system is good in universality and high in expanding capability.

The invention relates to a wind energy and solar energy driven intelligent water treatment river landscape device which comprises a floating rack, solar battery panels, wind wheels, a vertical suction tube, floating air sacs, suction impellers, storage batteries, driving impellers and dissolved oxygen probes, wherein the floating rack is hexahedron-shaped; the solar battery panels are fixedly mounted in the hexahedron-shaped floating rack; the vertical suction tube is vertically and fixedly mounted at the bottom of a middle shaft of the floating rack; suction impellers are fixedly mounted at the lower end of a transmission shaft in the middle of the vertical suction tube; driving impellers are radially and fixedly mounted at the hexagonal lower bottoms of the hexahedron-shaped floating rack, respectively. Powered by solar energy and wind energy, the device needs not to consume other energy sources. The solar energy and the wind energy are switched through a pneumatic probe, so that automatic drift and cruise of the device can be controlled. A to-be-processed region is automatically searched according to difference values of a dissolved oxygen probe measured value and the dissolved oxygen probe measured values in different positions, so that the device can automatically move toward a region where the water quality is relatively poor in water of regions with different river water qualities, thereby realizing the effect of automatic cruise and intelligent processing.

The invention discloses an intelligent processing system and method for a WAT probe card. The method comprises the following steps: recording and counting probe card stitching frequency in real time; detecting accumulated stitching frequency of the probe card; judging whether the accumulated stitching frequency of the probe card exceeds a set upper limit or not, if yes, testing continues, if no, turning to the next step; sending out prompt information. According to the invention, when the accumulated stitching frequency of the probe card exceeds the upper limit, an operator is warned to replace the card, the efficiency is improved, fast inquiry to the maintenance record during the entire using process of the probe card as well as the management to the state of the probe card can be achieved, and intelligent management to the WAT probe card can be achieved.

A precise machining method with cross-section shape controllable electronic beam includes such steps as calculating and controlling the energy density, radiation times, radiated positions, and deflection of electronic beam, and using the light diaphragm made of Mo to obtain needed electronic beam. Its apparatus is composed of computer control system, electronic beam generator, electromagnetic coil, deflection coil and bench control system.

The invention discloses an adaptive general control disaster recovery switching device. The device comprises a fault data processing unit, a fault inference and judgment unit, and a switching signal emission unit; wherein the fault data processing unit is used for acquiring operation state data of each production center, extracting fault data and performing classified storage of the data, and obtaining fault characteristic data via the analysis of the fault data; the fault inference and judgment unit is used for inferring the fault characteristic data via a knowledge base and obtaining a fault switching judgment; and the switching signal emission unit is used for emitting a switching control command to each production center according to the fault switching judgment and a manual command. The invention also discloses an adaptive general control disaster recovery switching system and an adaptive general control disaster recovery switching signal generation method, switching signals are rapidly and accurately generated by employing the intelligent technology, and adaptive switching of the system is realized.

The invention provides a method, a device and a system for processing command information. The method comprises the following steps of: receiving the command information input by a user and confirming if the command information is voice information by a mobile terminal, and obtaining corresponding response information and showing to the user by the mobile terminal according to the confirmed type of the command information. According to the method provided by the invention, the man-machine interactive intelligent processing is realized and the user experience is increased.

The invention provides a real-time video processing oriented load-aware cloud calculation system. The system comprises a Storm cluster used for providing infrastructure service, a video streaming generator used for generating, receiving, and sending video streaming, a streaming server used for caching video data, providing a unified message interface, and reducing the coupling between assemblies, a load detector, a parameter controller used for performance analysis and evaluation of the cluster, a video processor used for respectively providing interfaces based on CPU and GPU processing, and a protocol supplier used for providing various protocols, the load detector binds a load awareness algorism to aware the calculating load of a task and notifies the Storm cluster to select the needed processor type via the analysis of CPU, GPU, and memory usage conditions of a node of the task, and the parameter controller interacts with the Storm cluster via the protocol supplier so that message exchange under different protocols is realized, and the coupling between modules is removed.

The invention discloses a farmland intelligent monitoring control system based on Internet of Things high-definition camera shooting integrated gateways. The farmland intelligent monitoring control system comprises multiple groups of Internet of Things high-definition camera shooting integrated gateways, multiple groups of data acquiring modules, multiple groups of electrical control modules, and a total control table. The data acquiring module comprise a temperature sensor, a humidity sensor, a wind speed sensor, a PH value sensor, an illumination sensor, and a PH2.5 tester. The electrical control module comprises a fireproof safety alarm, a temperature controller, a humidity controller. The Internet of Things high-definition camera shooting integrated gateway comprises a processor and a high-definition camera. The total control table is a computer. The farmland intelligent monitoring control system may effectively detect various data of agricultural products in growth processes, the data including illumination, temperature, humidity, wind speed, soil acility and alkalinity, and soil water content or the like, and pertinently adjusts the agricultural products with a microprocessor according to the various data in order to maximize and optimize production effect.

The invention discloses a group message processing method and device. The method comprises the following steps: receiving a group message sent by a group chat group, determining the matching degree between the group message and candidate data in a behavior database according to a pre-constructed behavior database, detecting the size of the determined matching degree and a preset threshold, and ifthe detected matching degree is less than the preset threshold, shielding the group message; and if the detected matching degree is greater than or equal to the preset threshold, sending the group message. According to the group message processing method provided by the invention, the intelligent processing of group messages is realized, and the shielding of useful group messages is avoided.

A bridge prestress tensioning system comprises a computer unit, a tensioning instrument, a displacement sensor, a jack, a pressure sensor, a force sensor and a controller. The displacement sensor is arranged on the outer side of a cylinder barrel of the jack and connected with a piston rod, and the force sensor is arranged on a cylinder barrel base of the jack; the tensioning instrument comprises a temperature sensor arranged on the side wall of an oil tank, and the computer unit can send a signal and drives the jack to carry out tensioning operation through the controller; the controller is connected with the displacement sensor, the force sensor and the temperature sensor and transmits data information collected by the sensors to the computer unit to be further processed; and the force sensor, the displacement sensor and the temperature sensor are connected with the controller to achieve intelligence and standardization of bridge prestress tensioning work; and the system is scientific and reasonable in whole structure, convenient to install and operate, high in work automation degree, reliable in equipment running and capable of being widely suitable for being used in cooperation with various bridge prestress tensioning systems.

The invention discloses an efficient town sewage treatment and recycling device and process. The efficient town sewage treatment and recycling device comprises a device body and a remote environmental medicine expert diagnosis and control system, wherein the device body comprises three modules of a biochemical reaction module, a mud-water separation module and an equipment integration module; tank bodies of the biochemical reaction module and the mud-water separation module are communicated through partition water holes or overflow weir water holes; a water outlet pipe of a sedimentation tank is connected with an ultraviolet sterilizer in the equipment integration module; the biochemical reaction module comprises a pre-deoxidating mud film tank, a phosphorus-releasing mud film tank, a denitrifying phosphorus-accumulating mud film tank and an aerobiotic mud film tank which are communicated in sequence; a set of intermittent gas disturbance equipment is arranged at the bottom of the denitrifying phosphorus-accumulating mud film tank. According to the efficient town sewage treatment and recycling device and process, the short-flow phenomenon in the tanks is overcome, the microbial community structure distribution of the tanks is optimized, the function of the sedimentation tank is enhanced, the total nitrogen and total phosphorus treatment efficiency is higher, the gas-stripping energy consumption is low, the structure is compact, the occupied area is small, and the sludge floating phenomenon and the effluent suspended matter content can be significantly reduced.

The invention discloses a wire strand defect detection method for a transmission line. Through the method, a wire strand defect of the transmission line can be intelligently recognized. According to the wire strand defect detection method for the transmission line, an image is preprocessed; then wires are separated from a background image through image partitioning; next, feature extraction is performed on a wire image; and finally strand recognition is performed on the wires. The whole process can be automatically completed through a computer, intelligent processing of transmission line inspection data can be realized, the wire strand defect of the transmission line can be intelligently recognized, and recognition efficiency is greatly improved; and moreover, problems existing in manual observation can be greatly reduced with the efficiency, misjudgment or missing judgment caused by manual experience or working strength fatigue is avoided, overall working efficiency is improved, a fine management mode is improved, the intelligent level is raised, a large amount of manual checking time is saved, and a lot of economic investment is saved. The method is suitable for application and popularization in the technical field of image recognition.

The invention relates to the technical field of control systems and discloses an intelligent image acquisition control system. The system comprises an equipment main body, a face identification camera, a hanging vertical plate, a smoke and induction module, an electronic tag reader, an electric switch, a multifunctional interface switch and a video monitoring device are installed on the equipmentmain body, and the equipment main body internally comprises an intelligent assembly operation terminal, a server system, a handheld terminal APP and a display terminal; the intelligent assembly operation terminal comprises station operation terminals and is characterized in that the station operation terminals are arranged on all stations, the station operation terminals are arranged in a moving mode according to on-site station requirements, the station operation terminals are designed in a modular industrial mode, and station coverage within a certain operation radius is achieved. The intelligent image acquisition control system can solve the problems that an existing image acquisition control system is poor in use effect and cannot achieve accurate tracing of management calibration.

The invention discloses a judgment method for alarm of damage to a street lamp in intelligent illumination. The judgment method comprises the following steps: a street lamp control center controls on-off states of a single lamp or power supplying voltage of the single lamp; the street lamp control center sends a regular patrol instruction to a single lamp controller, and the single lamp controller uploads detected single lamp patrol data to a street lamp control box; the street lamp control box feeds back the single lamp patrol data to the street lamp control center; the street lamp control center calculates power factor data in real time according to the uploaded single lamp patrol data, compares the power factor data with a preset single lamp voltage threshold value, a preset current threshold value and a preset power factor threshold value, and judges that the single lamp is in a damaged state and an alarm is sounded if the real-time single lamp patrol data exceed the preset single lamp voltage threshold value, the preset current threshold value and the preset power factor threshold value within a preset time period; judging that the single lamp is in a light source normal state and no alarm is sounded if the real-time single lamp patrol data fall within the preset single lamp voltage threshold value, the preset current threshold value and the preset power factor threshold value within the preset time period.

The invention provides a high-speed train power quality monitoring system comprising a monitoring unit, a data pre-processing unit, a normalization unit, a clustering unit, an outlier detection unit and a power quality database, wherein the data pre-processing unit screens out power quality data of only one vehicle running on a power supply arm according to power quality data when a vehicle runs and the running time of a high-speed train on the power supply arm, and the data pre-processing unit performs missing complement processing and abnormality detection processing on the power quality data; and the clustering unit clusters the power quality data of a sample having undergone normalization processing, to acquire power quality data classes of different vehicle types; the outlier detection unit performs outlier detection on the power quality after clustering processing, obtains an outlier set and sends the outlier set to the power quality database for storage.

The invention provides a high-speed train electric energy quality data processing system comprising a data acquisition unit, a data preprocessing unit, a normalization unit, a clustering unit, an abnormal point detection unit and an electric energy quality database. The data preprocessing unit screens out the electric energy quality data in case of only one train operating on the supply arm according to the electric energy quality data in case of train operation and the operation time of the high-speed train on the supply arm and preprocesses the electric energy quality data. The clustering unit clusters the sample electric energy quality data after normalization processing so as to acquire electric energy quality data classes of different train types. The abnormal point detection unit performs abnormal point detection on the electric energy quality data after clustering processing so as to obtain the abnormal point set and transmit the abnormal point set to the electric energy qualitydatabase to be stored.

The embodiment of the invention discloses a file processing method and device, equipment and a medium. The method comprises the steps of obtaining a to-be-processed file, wherein the text content of the to-be-processed file is a financial transaction confirmation book; matching the target terms in the financial transaction confirmation book; and if the target terms are successfully matched, calculating a to-be-signed position in the financial transaction confirmation book, and performing electronic signature on the financial transaction confirmation book according to the to-be-signed positionto obtain a processed file. According to the technical scheme, intelligent processing of the financial transaction confirmation book is realized, and the processing efficiency is improved.

The invention discloses an intelligent machine special for boring and drilling main pin holes, which relates to the technical field of forging processing devices. The machine comprises an installation pedestal on which a sealed processing box is fixedly arranged, wherein the installation pedestal is further provided with U-drilling power devices and boring power devices; the U-drilling power devices and the boring power devices are connected with the pedestal through lateral hydraulic sliding tables; a holding device is arranged between the lateral hydraulic sliding tables on the installation pedestal; the holding device is connected with the pedestal through a middle hydraulic sliding table, and the holding device is held and fixed with a working piece. The intelligent machine special for boring and drilling the main pin holes provided by the invention has the following beneficial effects: the drilling power devices and the boring power devices are integrally arranged, so that the processing efficiency is greatly improved; and meanwhile the intelligent process can be realized by matching the hydraulic sliding tables with the control of travel switches.

The invention discloses a hierarchical design method and system for a multimedia host. A multimedia host software is divided into a driving layer, a media control encapsulation layer and an application layer, wherein the media control encapsulation layer provides a driving layer encapsulation interface for the driving layer to perform encapsulation to the driving layer, so that shielding of the multimedia host hardware platform is realized; the media control encapsulation layer provides an encapsulation interface for a operating system and performs shielding to the operating system; the media control encapsulation layer provides an application layer encapsulation interface for the application layer, a processing parameter loaded by the application layer through the application layer encapsulation interface is acquired directly, and intelligent processing is performed to multimedia data according to the processing parameter. Therefore, through the scheme of the invention, the intelligent processing performed to the multimedia data can be realized, and meanwhile, cross-platform and cross-system transplanting of the multimedia host software is realized.