1767results about How to "Reduce the cost of training" patented technology

An integrated surveillance system combining video surveillance and data from other sensor-based security networks is used to identify activities that may require attention.

The invention relates to an intelligent training system for a vehicle driver based on an actual vehicle. The intelligent training system comprises a vehicle-mounted intelligent training subsystem, a data processing subsystem, an operation management and control subsystem and a system-level data communication subsystem, wherein the vehicle-mounted intelligent training subsystem is mounted on the actual vehicle and is used for training interactive driving of the driver and acquiring and reporting data of a driver training process; the data processing subsystem manages basic information and is used for receiving, storing and processing the data of the training process acquired and reported by the vehicle-mounted intelligent training subsystem; the operation management and control subsystem monitors an operated state and a running state of the vehicle in real time and remotely controls the monitored vehicle according to actual conditions; the vehicle-mounted intelligent training subsystem is connected with the data processing subsystem and the operation management and control subsystem through the system-level data communication subsystem and realizes bidirectional information interaction.

The invention discloses a line polling management system, which comprises an acquisition module (301), a polling locus analysis module (303) and a polling evaluation analysis module (304), wherein the acquisition module (301) is sued for acquiring polling information in a polled line, and the polling information at least comprises longitude and latitude information; the polling locus analysis module (303) is used for dividing a pre-generated line map into a plurality of grids, generating a polling locus according to the polling information acquired by the acquisition module (301), matching the polling locus and the grids and determining a candidate line to be analyzed; and the polling evaluation analysis module (304) is sued for calculating the distance between the polling locus point and the evaluation point of the candidate line and determining that the polling locus point covers the evaluation point if the distance is smaller than the preset threshold value. The invention also discloses a line polling management method. According to the scheme, the system and the method can greatly simplify the operation of polling personnel, can adapt to various environment conditions, have low cost, and are easy to popularize.

The invention relates to an image conversion method. The method comprises the following steps: obtaining a current image to be processed, wherein the current image to be processed comprises a face part; inputting the current image to be processed to a trained target face image conversion model, wherein the trained target face image conversion model is used for converting the face part of the inputimage from a first style to a second style, and the trained target face image conversion model is trained by an original face image conversion model and a discrimination network model; and obtaininga target style face image output by the trained target face image conversion model. The image conversion method does not need to label the training samples, and is low in training cost and high in accuracy. Besides, the invention also provides an image conversion device, computer equipment and a storage medium.

The related simulation training device for Ar-arc welding operation comprises: a simulation torch with arc-striking switch, a simulation solder wire, some pieces, a master-control computer, a detector for the torch and wire position, and a helmet with a display connected with former computer to display the welding process menu. This invention applies new devices to improve current training with less cost and well efficiency.

The invention provides a welding operation simulator for CO2 gas shield arc welding. The simulator comprises a control cabinet, an operation console, and a simulation welding gun. The simulation welding gun includes a welding gun rod, a handle, an arc plastic housing, an electric touch pen, a spring, a mobile copper sheet, an inductive proximity switch, an inclination angle sensor, and a nozzle. One end of the electric touch pen is fixedly connected with the mobile copper sheet and the electric touch pen passes through a center of the nozzle that is connected with the mobile copper by the spring. The inductive proximity switch is installed at one end of the welding gun rod and the double-shaft inclination angle sensor is installed at the other end of the welding gun rod. One end of an insulating cylinder is sleeved around the periphery of the nozzle and the other end of the insulating cylinder is sleeved around the periphery of the welding gun rod, wherein the inductive proximity switch is installed at the welding gun rod. One end of the arc plastic housing is connected with the welding gun rod and the other end of the arc plastic housing is connected with the handle. The inductive proximity switch and the double-shaft inclination angle sensor are connected with a computer in the control cabinet; besides, the operation console comprises a touch screen that is used as a welding test panel, wherein the touch screen is connected with the computer in the control cabinet. According to the invention, a training cost is substantially reduced; meanwhile, the training can be carried out safely and efficiently.

The embodiment of the invention provides an image foreground and background segmentation network model training method, an image foreground and background segmentation method, an image processing method and device, and a terminal device. The image foreground and background segmentation network model training method comprises the following steps: obtaining the eigenvectors of a sample image to be trained; performing convolution on the eigenvectors to obtain the convolution results of the eigenvectors; magnifying the convolution results of the eigenvectors; determining whether the magnified convolution results of the eigenvectors satisfy the convergence conditions or not; if so, completing the training of the convolutional neural network model used for segmenting the foreground and background of the image; and if not, adjusting the parameters of the convolutional neural network model according to the convolution results of the amplified eigenvectors and performing iteration training on the convolutional neural network model according to adjusted parameters of the convolutional neural network model until the convolution results satisfy the convergence conditions. By means of the image foreground and background segmentation network model training method, the training efficiency of the convolutional neural network model is improved, and the training time is shortened.

The invention discloses a distributed well drilling simulation system and an operation method. The distributed well drilling simulation system comprises a choke-line manifold (101), a high pressure manifold (102), a blowout preventer console (103), a flow blocking machine console (104), a long-distance console (105), a driller console (106), a teacher console (107) and a figure projecting unit (108), wherein the driller console (106), the long-distance console (105), the blowout preventer console (103), the flow blocking machine console (104), the choke-line manifold (101) and the high pressure manifold (102) are interconnected through a PPI (processor/peripheral interface) protocol, and the teacher console (107) is connected with the PPI protocol through a PPI interface. The operation method comprises the steps of drilling down, pilling out of a hole, drilling, accident and complex condition processing, well shutting, well killing and the like. The invention has the advantages of realizing the simulation of a top driving well drilling simulation with highly simulation, enhancing the liveness of teaching and training, shortening training period and reducing the training cost.

The invention relates to the field of spatial information data processing, in particular to a space object three-dimension (3D) measurement method based on high-precision and high-density laser point cloud and digital measurable images which are obtained by a movable measurement system. The method is characterized by comprehensively utilizing the laser point cloud and digital measurable image data which are obtained by a movable laser radar system, taking the high-precision and high-density laser 3D point cloud as the actual acquisition target and identifying and operating the target with the help of the digital measurable images to achieve the aim of precise measurement of the 3D objects. The method has the following beneficial effects: a brand-new concept of measuring real objects by observing real scenes is put forward; the advantages of high density and high precision of the laser point cloud and easy identification and operation of the digital measurable images are fully utilized to realize global operation based on the digital measurable images and local precise measurement based on the laser point cloud, thus effectively solving the problems of slow access, fussy processing and difficult operation of massive point cloud data; and popularization and application of laser radar technology are promoted.

The invention discloses a development method of an electromechanical device model dismantling training system under a virtual roaming scene, which is used for the management of the training for the engineering personnel of mechanical manufacturing, electric power production and the like on the aspect of the repairing such as dismantling and assembling. The electromechanical device model dismantling training system comprises a virtual roaming scene module, a part dismantling demonstration module, an interaction interface progress module and a background database management module. Through the combination of virtual reality and visualized programming technology, interactive-type virtual simulation training is provided for equipment repairing personnel and management personnel of machinery and electric power engineering, and the electromechanical device model dismantling training system has advantages of high training efficiency, wide application range, low training cost and the like. Especially for the electromechanical equipment with a complicated structure feature, the digitalized training and management for dismantling and assembling components in a virtual reality environment can be realized through the electromechanical device model dismantling training system.

A system and a method for developing and dynamically constructing multi-tiered distributed computing applications using a framework which allows the major elements involved in enterprise software applications, namely, the user interface, the data access, and the processing logic, to be independently developed. Moreover, the applications are dynamically created at time of use with pre-built software components or objects. The specifics of the applications such as functions, capabilities, user interface (UI) characteristics, etc., may depend on, for example, the user identity, the user preferences, and the terminal capability. Software development cost and turn-around time are reduced, promoting consistent UI design thus reducing user training cost, and allowing the applications to be dynamically created according to the user profile.

The invention discloses a whole process management and control-based environment sampling management system and method. The system comprises an environment sampling whole process management system, a laboratory data management system, a background database management system, one or more embedded system secondary development-based field sampling handheld management terminals, one or more cloud information distribution systems, one or more directed wireless data reception/transmission ends, one or more remote sampling terminals and one or more remote sampling tools, wherein the one or more cloud information distribution systems are supplied to the public for accessing environment sampling test data and reports, and the one or more directed wireless data reception/transmission ends are used for field short-distance data transmission. According to the system and method disclosed by the invention, the whole process management and control in an environment sampling process can be realized by utilizing technological means such as real-time video uploading, two-dimensional code encryption and task pushing.

The invention discloses an intelligent learner-driven vehicle assisted teaching system. The intelligent learner-driven vehicle assisted teaching system includes a vehicle-mounted host, a satellite positioning system, a vehicle operating state information acquisition processing module, a communication device, an engine flameout control device and an engine flameout remote controller, wherein the satellite positioning system, the vehicle operating state information acquisition processing module and the communication device are all in communication connection with the vehicle-mounted host, the engine flameout control device is in communication connection with the vehicle operating state information acquisition processing module, and the engine flameout remote controller is in wireless communication connection with the engine flameout control device. With the satellite positioning technology-based intelligent learner-driven vehicle assisted teaching system of the invention adopted, the driving operation of a driver can be regulated, teaching quality can be improved, the training cost of a driving school can be reduced, and even autonomous training of learners with no coaches on vehicles accompanied can be realized. The popularization and application of the intelligent learner-driven vehicle assisted teaching system of the invention will bright great economic benefits and social benefits.

The invention provides an energy utilization system of organic wastes with zero emission of carbon dioxide, which organically combines anaerobic fermentation hydrogen production, methane fermentation, CO2 absorption, microalgae fixation CO2, biogas liquid treatment and energy grass planting. The system is suitable for treating various types of organic wastes, can be applied to the treatment of agricultural organic wastes, industrial organic wastes, domestic organic wastes, slurry and the like, and the industries, such as new energy development. Through the application of the invention, the specific application demonstration of recycling economy can be carried out, clean energy is obtained while eliminating environmental pollution, no greenhouse gas emits in the process, and the triple effects of wastes treatment, production of clean and renewable energy sources and reduction of carbon dioxide emission can be realized.

An agent selection system for selecting agents during call routing in a contact center is provided. The agent selection system includes a data mining module to mine agent related data from preconfigured resources e.g., social networking sites. The agent selection system further includes a profile module to build one or more agent profile based on the mined agent related data. The agent selection system further includes a mapping module configured to map a customer profile in a customer work request with the one or more agent profile. The agent selection system further includes a selection module to select an agent for handling the customer work request based on mapping between the customer profile and the one or more agent profile.

The invention discloses a three-dimensional visual simulation training system and method used for professional training in terms of equipment operation and maintenance for staff of hydroelectric generation, thermal power generation, water conservancy project and the like. The system comprises a database module, an equipment model module, an operation simulation module, an overhaul simulation module and a checking system module. By combining with advanced multimedia simulation technologies, omni-directional and multi-level system training is provided to project operation and maintenance staff and managers; and the system has the advantages of high training efficiency, wide application, low training cost and the like, can be connected with existing production management systems for data information exchange and is also a practical digital training system in the real sense.

The invention relates to an auxiliary fault detection system and a method which are applied in a production information system for assisting the fault detection operation of a circuit board, the auxiliary fault detection system comprises a detection module for detecting identifying information of the circuit board, detecting the circuit board in the fault detection operation and sending corresponding fault code information and fault position information, a database for storing the fault code information and the corresponding fault position information detected in the fault detection operation and storing the identifying information of the circuit board, an extraction module for extracting the fault code information corresponding to the circuit board from the production information system according to the detected identifying information, an inquiry module for extracting the corresponding fault position information from the database according to the fault code information, and a calculation module for calculating the respective proportion of each fault position contained in the fault position information according to the fault position information for reference.

The invention relates to a method and device for realizing automatic product configuration by utilizing spreadsheet definition rule. The method comprises the following steps: defining a spreadsheet structure and inputting product related/configuration parameters; reading matching rules of spreadsheet definition by a system; automatically completing product matching by the system; after matching operation is completed, obtaining BOM (bill of material) data of the product by the system; and supporting importing the BOM data of the product into a three-dimensional CAD (computer aided design) system for design verification. The device comprises a data reading module, a formula management module, a naming management module and a formula generating module. The invention has the following beneficial effects: the spreadsheet form is used for replacing the traditional logical judgement program expression form; and the system modifies configuration conveniently and can automatically carry out non-standard design and customized contract processing rapidly and accurately, thus improving the accuracy and reducing the production cost.