1088 results about "Intelligent machine" patented technology

An interactive voice actuated control system for a testing machine such as a tensile testing machine is described. Voice commands are passed through a user-command predictor and integrated with a graphical user interface control panel to allow hands-free operation. The user-command predictor learns operator command patterns on-line and predicts the most likely next action. It assists less experienced operators by recommending the next command, and it adds robustness to the voice command interpreter by verbally asking the operator to repeat unlikely commanded actions. The voice actuated control system applies to industrial machines whose normal operation is characterized by a nonrandom series of commands.

Sophisticated memory systems and intelligent machines may be constructed by creating an active memory system with a hierarchical architecture. Specifically, a system may comprise a plurality of individual cortical processing units arranged into a hierarchical structure. Each individual cortical processing unit receives a sequence of patterns as input. Each cortical processing unit processes the received input sequence of patterns using a memory containing previously encountered sequences with structure and outputs another pattern. As several input sequences are processed by a cortical processing unit, it will therefore generate a sequence of patterns on its output. The sequence of patterns on its output may be passed as an input to one or more cortical processing units in next higher layer of the hierarchy. A lowest layer of cortical processing units may receive sensory input from the outside world. The sensory input also comprises a sequence of patterns.

The invention relates to a neural network-based cloud intelligent machine system of cloud operation, data mining, the neural network, information security and the like. The system comprises a neural network-based computer structure, a generalized database structure and a data structure over software and hardware boundaries. The system provides and uses a plurality of novel technologies, including an algorithm engine structure, an instinctual neural network, information compression, a limited network protocol, a security system, a cross platform data structure and the like, wherein the computer system structure described in the invention can easily be over thousands times of the cluster computing power of a current top server, and break through the bottleneck of the computing capacity of a future cloud computing center. The system has immunization and self-healing ability, and is prevented from being attacked by virus hackers. The system grows and metabolizes like organisms, defines new constantly changing tasks, and completes upgrading and expansion, and can be applied to a large-scale information center, an out-sourcing enterprise management, E-business and other cloud computing centers.

The invention discloses a rail type intelligent machine transporting truck, comprising a frame, idler wheels located on the frame, a storage box located at the top of the frame, a supporting board, a lifting mechanism connected between the supporting board and the frame, a primary rotation board, a primary rotation mechanism connected between the primary rotation board and the supporting board, a primary translation board, a primary translation mechanism connected between the primary translation board and the primary rotation board, a secondary rotation board, a secondary rotation mechanism connected between the secondary rotation board and the primary translation board, a secondary translation board, a secondary translation mechanism connected between the secondary translation board and the secondary rotation board, and an executing mechanism connected on the secondary translation board, wherein a storage box is placed in the storage box. The rail type intelligent machine transporting truck provided by the invention replaces the conventional manual goods carrying manner, so that the human labor is reduced, and the production efficiency is improved. With the adoption of the two levels of rotation mechanisms and the two levels of translation mechanisms, the rail type intelligent machine transporting truck can expand the journey and increase the freedom degree. The rail type intelligent machine transporting truck can check more goods due to the vehicular storage box, so that the working efficiency is improved.

The invention discloses an intelligent orchard planting management system, which obtains the fruit tree growth environment information according to the wireless network, and realizes fast, multi-dimensional and multi-scale real-time monitoring of orchard information. Based on depth learning, a growth model is constructed for each fruit tree, which is displayed visually and dynamically to the userthrough VR / AR stereo models, diagrams and curves; when the environment data is abnormal, the system will give various sound and light alarms. By using big data, cloud computing, data mining, artificial intelligence, and audio and video technology, the system makes agricultural planting more precise; according to the feedback of the above information, the decision-making support of irrigation andfertilization in the park can be provided to realize the intelligent machine, such as intelligent irrigation, intelligent fertilization, infrasound repelling of birds and insects, remote control of the production process and fixed-point operation. The invention provides a set of scientific system and accurate agricultural intelligent production management system for planters to solve the above problems.

The invention provides a hydraulic hard and soft mechanical arm control method based on two-parameter singular perturbation, and relates to the technical field of intelligent machine and robot control. Through the principle of the two-parameter singular perturbation of the method, a reduced order is carried out on a hydraulic hard and soft mechanical arm system to enable the hydraulic hard and soft mechanical arm system to become a fast subsystem driven by representation hydraulic servo, a secondary fast subsystem driven by representation elastic vibration, and a slow subsystem driven by representation wide-range rigid movement, wherein a self-adaptive sliding mode controller is adopted in a fast subsystem control module, an optimal controller is adopted in a secondary fast subsystem control module to restrain the elastic vibration, and a second-order sliding mode controller is adopted in a slow subsystem control module to achieve joint trajectory tracking control. According to the control method based on the two-parameter singular perturbation, the reduced order is carried out on the complex hydraulic hard and soft mechanical arm system, multiple time-scale subsystem controllers are designed, and thus the control method is greatly simplified and is more practical.

Methods and systems provide the automatic tracking of the physical location of information technology components in a data center. These systems automatically identify where a given IT component, such as a server, router, switch or other device, is located. They automatically identify which slot the IT component is located in a given rack in the data center. They include “smart” brackets containing small ID chips attached to the rack-based IT components and a “smart” rack rail for detecting the brackets. Each smart bracket uniquely identifies the IT component to which it is attached. The smart rack rail identifies the slot of the rack in which the IT component resides and communicates with a microcontroller to relay the position information to a database.

The invention discloses a pressure testing method, device and system for intelligent terminal software. The pressure testing method comprises the following steps: receiving the intelligent terminal software, a testing script thereof and a testing machine model list; selecting an intelligent terminal of a corresponding testing machine model being connected on the cloud; sending the intelligent terminal software and the testing script thereof to the selected intelligent terminal; conducting testing control on the selected intelligent terminal. The testing control comprises the following steps: installing and operating the intelligent terminal software; repeatedly playing back the testing script aiming at the intelligent terminal software to realize the pressure test on the basis of the specified frequency. By the adoption of the pressure testing method, device and system, the amount of intelligent machine models covered by the pressure test can be increased, and the testing speed and the testing efficiency are improved.

The invention relates to an intelligent paving machine and belongs to an intelligent machine integrated with machinery and electronics. Currently, floor bricks of a building are manually paved; and the manual paving has great disadvantages of poor quality, low efficiency, high labor cost and the like. The invention adopts a brand-new production process and the brand-new intelligent paving machine. The machine rapidly and accurately completes the paving work of the floor bricks under the program control of a detection device and specially-programmed computer application software; and the efficiency is ten times of that of manual operation. The paving machine substantially improves the paving quality, accelerates the engineering schedule and reduces the labor cost. The popularization and the application of the technology and a product effectively promote the modernized and industrialized production level of building decoration industry and create good economic and social effects for enterprises and society.

The invention discloses an intelligent machine room inspection robot. The intelligent machine room inspection robot comprises a robot body and a robot control system. The robot control system comprises a sub controller, a face recognition module, a designated following module, a property interrogating module, an escape guiding module and a main control platform. The face recognition module confirms the identity of machine room administrative staff by means of face recognition. The designated following module is used for achieving synchronous following and image recording when foreign personnelenter a machine room, and the machine room administrative staff have the jurisdiction of controlling the robot body to follow. The property interrogating module is used for carrying out statistics onequipment inside the machine room and generating property data information. The escape guiding module is used for confirming escape route information stored in a matched escape guiding module in a self-positioning mode. The intelligent machine room inspection robot can assist the machine room administrative staff in conducting routing inspection in the machine room in a real time and further prevent the foreign personnel from destroying the equipment inside the machine room. Meanwhile, the intelligent machine room inspection robot can serve as a travelling notebook of the machine room administrative staff, the machine room administrative staff can search for and consult data information conveniently, and the labor intensity of the machine room administrative staff is greatly relieved; andmoreover, the high-efficiency property of solving problems in the machine room by the machine room administrative staff is guaranteed.

The invention discloses an intelligent machine antenna with a metal frame, wherein the intelligent machine antenna can cover seven frequency bands. The intelligent machine antenna divides the metal frame into a plurality of parts through outage seams and short-circuited connectors. Seam resonance between parts of the separated metal frame and a metal floor can be used for covering low-frequency frequency bands such as GSM850 / 900, and a triple resonance mold corresponding to the seam resonance can be used for covering high-frequency frequency bands such as LTE2300 / 2500; meanwhile, the separated metal frame can be taken as distributed single-pole sub branches and used for covering high-frequency frequency bands such as GSM1800 / 1900, an internal excitation unit can also produce resonance characteristics acting on the high-frequency frequency bands such as GSM1800 / 1900 and UTMS2100, and accordingly the bandwidth of metal frame radiation is complemented, and the multi-system seven-frequency-band radiation effect of the antenna with the metal frame is achieved. Resonance produced by a couple metal ring is involved in antenna radiation, resonance size pressure needing to be borne by the printed antenna is shared to a great extent, and the antenna is suitable for being used and popularized in the technical field of terminal antennas.

The invention discloses a metal workpiece defect detection method based on binocular vision. The metal workpiece defect detection method comprises the steps of binocular camera calibration, workpiece target extraction and workpiece defect detection. The produced workpiece possibly has defects in the industrial production because of the problems of production process and casting technology. With application of the method, the workpiece target acting as the foreground can be extracted out of the complex background to detect the workpiece detects without the influence of external environment or target object factors so as to have the advantages of great universality, high accuracy and great real-time performance and have great significance for intelligent machine detection in the field of spaceflight, military, industry and security.

Disclosed are attitude determination, panoramic image generation and target recognition methods for an intelligent machine. The attitude determination method for the intelligent machine comprises the following steps: defining a local coordinate system; and determining an intelligent machine attitude matrix Rg, wherein Rg is a 3x3 unit orthogonal matrix relative to the local coordinate system and can be obtained through multiple methods according to different sensors inside the intelligent machine. By means of attitude determination of the intelligent machine, multiple applications can be achieved, comprising a virtual reality roaming method for the intelligent machine, multi-vision localization of the intelligent machine, monocular single-point localization of the intelligent machine, panoramic image generation of the intelligent machine, target direction selection in the intelligent machine, real-time video image correction, single-image localization of the intelligent machine, and relative localization among multiple cameras.

The invention discloses an intelligent dynamic high-definition video detection system which comprises a high-definition camera, a face tag library alarm device, a face recognition and comparison engine device, a management platform and a transmission network, wherein the high-definition camera is connected with the face tag alarm device through the transmission network; the face tag alarm device is connected with the face recognition and comparison engine device through the transmission network; and the face tag alarm device is further connected with the management platform through the transmission network. The intelligent dynamic high-definition video detection system is based on high-definition video monitoring, high-performance face detection and face comparison, an intelligent face recognition device technology is adopted, a popular supercomputing technology is integrated, and video devices are simplified to only three primary devices, namely an intelligent machine, a face recognition device and a network exchanger. Therefore, fault points are greatly reduced and the system reliability is improved. Meanwhile, the device cost is reduced, the power consumption is reduced, and the construction and maintenance costs of a multifunctional electronic police system at the road junction are lowered.

Disclosed are attitude determination, panoramic image generation and target recognition methods for an intelligent machine. The attitude determination method for the intelligent machine comprises the following steps: defining a local coordinate system; and determining an intelligent machine attitude matrix Rg, wherein Rg is a 3x3 unit orthogonal matrix relative to the local coordinate system and can be obtained through multiple methods according to different sensors inside the intelligent machine. By means of attitude determination of the intelligent machine, multiple applications can be achieved, comprising a virtual reality roaming method for the intelligent machine, multi-vision localization of the intelligent machine, monocular single-point localization of the intelligent machine, panoramic image generation of the intelligent machine, target direction selection in the intelligent machine, real-time video image correction, single-image localization of the intelligent machine, and relative localization among multiple cameras.

The invention discloses a multi-band MIMO antenna used for an intelligent machine. The antenna can achieve miniaturization, has multiple bands and is high in isolation. The antenna comprises a dielectric substrate, the back side of the dielectric substrate is provided with a floor and a decoupling structure, the floor and the decoupling structure are connected as a whole, and the front side of the dielectric substrate is provided with a first radiation unit, a second radiation unit, a first matching circuit, a second matching circuit, a first parasitic element, a second parasitic element and a neutral line. By means of a coupled feeding structure, the decoupling structure and matching circuit structures, miniaturization and broadband coverage of the antenna are achieved, so that double resonance of the antenna at a low frequency band is achieved, the GSM850 / 900 frequency band is successfully covered, the GSM1800 / 1900 / UMTS2100 / LTE2300 / 2500 frequency bands are covered at a high frequency band, the requirements for miniaturization and multi-band of the MIMO antenna of the intelligent machine are met, and high isolation between antenna units can be obtained by means of the neutral line. The antenna is suitable for being used and popularized in the field of terminal antennas.

The invention discloses an intelligent identification method for a prohibited goods based on an X-ray security inspection machine image. The method comprises steps: a data set for training is built; aunified prohibited goods identification model is trained, wherein the unified prohibited goods identification model comprises a shape classification model and a color classification model; the shapeclassification model is used to detect a to-be-detected image to output a shape detection result; the detection result is calculated and is inputted to the color classification model, and a color detection result is outputted; by using the shape detection result and the color detection result, the possibility of existence of a dangerous substance and the position are calculated; the model capableof detecting a dangerous substance and the to-be-detected image are compared, and the kind of the dangerous substance is marked and outputted. Intelligent machine identification replaces manual dangerous substance identification, the manual cost is saved, and the profit maximization is realized.

The invention discloses an intelligent machine room access control opening method and system based on a wireless network. The opening method comprises the following steps: logging in a cell phone client and inputting logging-in information into the cell phone client, wherein the logging-in information comprises an account and an authentication password; identifying whether the logging-in information is correct or not by a central server; if the logging-in information is correct, synchronizing base station information related to the cell phone client to the central server by the central server for carrying out the next step; requiring a door opening request of a station from the central server by the cell phone client; sending an access control opening password to an access control controller by the cell phone client; establishing data connection between the cell phone client and a machine room access control controller; after the connection is succeeded, sending the access control opening password to the access control controller by the cell phone client; if the access control password is accurate, opening an access control system; and otherwise, not opening the access control system. According to the intelligent machine room access control opening method and system, the cell phone client is used as a medium and a bridge to establish the intelligent access control system by using which a door can be remotely controlled and opened reliably, and machine room accessing information has instantaneity.

The invention discloses an experimental platform used for simulation and diagnosis of working conditions of a shipping power system and based on an intelligent engine room. The experimental platform is mainly composed of a shipping power system simulation experiment platform frame, a datum monitoring and failure diagnosis platform body (5) installed on the experiment platform frame and an oil liquid on-line monitoring module (6) connected with the datum monitoring and failure diagnosis platform body (5) through signal lines. The oil liquid on-line monitoring module (6) is connected into a pipeline lubrication system of the experimental platform in parallel. According to the experimental platform used for simulation and diagnosis of the working conditions of the shipping power system and based on the intelligent engine room, simulation of different working conditions of the shipping power system can be achieved, and torque monitoring, vibration monitoring and shaft power monitoring of the shipping power system and a shaft system as well as on-line monitoring of states of lubricating oil and hydraulic oil under different working conditions can be achieved; by combining an intelligent machine learning method, under supporting of a great number of monitoring data, failure diagnosis and state evaluation of the shipping power system under an intelligent engine room framework are achieved; and the experimental platform can be used as a target platform of an intelligent on-line monitoring and diagnosis system.

The present invention consists of an x-ray goniometer which is positioned directly adjacent to processing machines used in the cutting, milling, drilling and shaping of crystal boules and crystal ingots, used in conjunction with an adjustable tilt platform capable of pitch, yaw and roll movement, to allow in-situ measurement and automatic adjustment of crystal orientation with respect to the processing machine. The goniometer may be secured to either the tool itself or a portion of the machine which is adjacent the piece to be worked. Various embodiments include an x-ray goniometer and adjustable tilt platform incorporated into a core drilling machine, wire saw, surface grinder, polishing apparatus, or orientation flat or notch grinder. Incorporating an x-ray goniometer and adjustable tilt platform directly into a crystal processing machine results in a significant decrease in overall processing time and labor, and a significant increase in precision when processing crystal ingots into a final product, such as a notched wafer.

The invention relates to a log-based cloud service problem fine-grained intelligent tracing method. The method is characterized by comprising the following steps: 1) based on historical abnormal record data of a cloud operating system, combining a fault injection technology, and abstracting an overall related system task execution mode reflected by cross-component logs under various abnormal scenes by utilizing time correlation analysis and a machine learning algorithm, thereby constructing a knowledge base; and 2) identifying an overall related system task execution mode corresponding to thelog newly generated by the cloud operation system by using the knowledge base, thereby achieving the purpose of fine-grained cloud service exception automatic tracing. According to the invention, historical analysis data in a cloud environment are fully utilized by means of an intelligent machine learning method; the knowledge base is obtained through training and used for identifying a new log mode and capturing the overall effect of multi-component collaborative services in a cloud environment, so that the purpose of automatic cloud service exception tracing is achieved, and the method can be widely applied to intelligent tracing of cloud service exception problems in the field of cloud computing.

Presented are intelligent vehicle systems and control logic for predictive route planning and adaptive control, methods for manufacturing / operating such systems, and motor vehicles with real-time eco-routing and automated driving capabilities. A method for controlling operation of a vehicle includes determining vehicle origin and destination information, and identifying candidate routes for traversing from the origin to the destination. Road-level data, including speed and topology data, is received for each candidate route. Total energy uses are estimated for propelling the vehicle from the origin to the destination across each of the candidate routes. This estimating includes evaluating respective road-level data of each candidate route against a memory-stored table that correlates energy consumption to speed, turn angle, and / or gradient. A resident vehicle controller commands a resident vehicle subsystem to execute a control operation based on one or more of the estimated total energy uses corresponding to one or more of the candidate routes.

The invention discloses an intelligent machine attitude matrix calculating method and a method applied to photogrammetry. The intelligent machine attitude matrix calculating method mainly comprises the following steps that an intelligent machine measures the components ax, ay and az of gravitational acceleration at three directions x, y and z of the intelligent machine; the intelligent machine acquires the azimuth angle phi; and the attitude matrix Rg is calculated according to the description. According to the invention, the attitude of a camera on the intelligent machine can be obtained by the attitude matrix Rg of the intelligent machine, and the intelligent machine attitude matrix calculating method and the method applied to photogrammetry can be applied to the fields of photogrammetry, panorama measurement, computer vision, LBS service, virtual reality simulation, attitude measurement reinforcement of wearable equipment and the like.

A four level fault tolerant architecture for the intelligent machine system is based on the basic component of a self contained actuator module with standardized interfaces. This system architecture organizes all of the operational software to make it universal, high performing, fault tolerant, and use condition-based maintenance. The independent structural layers are structured and prioritized by the advanced electronic controllers. The sensor module creates an accurate parametric representation of the electro-mechanical actuator, and manages all resources in the electro-mechanical actuator. The system will also comprise of operational criteria, maximum performance envelopes, condition-based maintenance, fault tolerance, layered control, and force / motion control. The system allows independent development of different components of the framework, categorized into three levels: the management level, the servo control level, and the senor and communication level. The present disclosure establishes a fully responsive actuator whose intelligence manages a sufficiently broad set of choices.

The invention provides an intelligent machine tool working state identification system based on signal fusion. A sensor system is installed on a mechanical system of a machine tool and used for collecting a vibration signal, a temperature signal, a current signal and a speed signal of the machine tool; the vibration signal and the temperature signal are converted into digital signals through a data collecting system and then sent to a monitoring system, and the current signal and the speed signal are sent to the monitoring system through a numerical control system; and the monitoring system isused for controlling the vibration signal, the temperature signal, the current signal and the speed signal to be sent to a state signal database system and / or controlling the vibration signal, the temperature signal, the current signal and the speed signal to be sent to an intelligent data analysis system to achieve real-time data analysis and output an intelligent machine tool working state identification result. According to the intelligent machine tool working state identification system based on signal fusion, erroneous judgment brought by machine tool state identification obtained through signals measured by a power sensor singly is effectively eliminated, information fusion of multiple sensors is combined, a BP neural network method is adopted, therefore, errors in judgment are reduced, the system robustness is improved, and meanwhile basic conditions are provided for dynamic monitoring of the machining technology process.