772results about How to "Reduce human intervention" patented technology

A security policy management system for deriving a security policy from setting details of security devices as components of an information system includes a setting information storage unit for storing setting information representing settings with regard to security functions of devices included in a network system to be managed, and a general-purpose security policy generator for generating a security policy including a description expressed in a format independent of descriptions depending on particular devices, based on the setting information stored in the setting information storage unit.

A comprehensive electronic business support system comprises three layers: (1) the business layer, including various smart components which unify data and business processes across all customer interactions; (2) the integration layer, including various communications messaging interfaces and enterprise application integration adapters, which provide a flexible, automated, and process driven solution for integrating across business applications and operations support systems; and (3) the presentation layer, including various customer views, which are presented via particular business portals. A smart component server provides the core services and comprehensive business process logic required to successfully conduct business online. The communications messaging interfaces integrate with back-office systems for functions such as billing, provisioning, and interconnection.

The invention relates to a fine granularity vehicle multi-property recognition method based on a convolutional neural network and belongs to the technical field of computer visual recognition. The method comprises the steps that a neural network structure is designed, including a convolution layer, a pooling layer and a full-connection layer, wherein the convolution layer and the pooling layer areresponsible for feature extraction, and a classification result is output by calculating an objective loss function on the last full-connection layer; a fine granularity vehicle dataset and a tag dataset are utilized to train the neural network, the training mode is supervised learning, and a stochastic gradient descent algorithm is utilized to adjust a weight matrix and offset; and a trained neural network model is used for performing vehicle property recognition. The method can be applied to multi-property recognition of a vehicle, the fine granularity vehicle dataset and the multi-propertytag dataset are utilized to obtain more abstract high-level expression of the vehicle through the convolutional neural network, invisible characteristics reflecting the nature of the to-be-recognizedvehicle are learnt from a large quantity of training samples, therefore, extensibility is higher, and recognition precision is higher.

A method is provided for facilitating transactions between a product brand manager and manufacturing organizations using a transactional computer system. The product brand manager has a product brand and product brand information that includes information for manufacturing the product brand, and there is manufacturing organization information for each of the manufacturing organizations that includes the manufacturing process capabilities of the respective manufacturing organization. The method includes communicating the product brand information from the product brand manager to the transactional computer system, and communicating the manufacturing organization information for the manufacturing organizations from the manufacturing organizations to the transactional computer system. The method also includes using the transactional computer system to process the product brand information and the manufacturing organization information to select at least one candidate manufacturing organization from the manufacturing organizations and to generate selection information regarding the at least one candidate manufacturing organization. The selection processing uses the transactional computer system to compare the product brand information to the manufacturing organization information. The method further includes using the transactional computer system to communicate the selection information to the product brand manager. A related method is provided for the selection of product brand managers for the benefit of a manufacturing organization. Related systems also are disclosed.

The invention discloses an improved high-resolution remote sensing image classification method based on deep learning. On the basis of the deep learning theory, a seven-layer convolutional neural network is designed; a high-resolution remote sensing image sample is inputted into the network to carry out network training and last two full connection layers obtained by learning are outputted as twodifferent high-level features of the remote sensing image; dimension reduction is carried out by using a principal component analysis for the output of the fifth pooling layer of the network, whereinthe result after dimension reduction is used as a third high-level feature of the remote sensing image; the three kinds of high-level features are fused in series; and then an effective logistic-regression-based classifier is designed to classify the remote sensing image. According to the invention, feature extraction is carried out on the high-resolution remote sensing image based on the deep learning theory and the features obtained by learning have high expressive force and robustness. Besides, the extracted high-level features are fused and the fused feature is inputted into the logistic regression classifier, so that the good classification result is obtained.

Systems, apparatus, and program code, and methods for monitoring the health and other conditions of the valve, are provided. An exemplary system for monitoring the condition of the gate valve includes a logic module configured to perform the operations of receiving sensor data providing an acoustic emission, vibration, and / or stream level signature and determining the level of lubricity, level of friction, level of surface degradation, and leakage rate at a gate-valve seat interface. An exemplary method for monitoring the condition of the gate valve includes receiving sensor data providing an acoustic emission, vibration, and / or stream level signature and determining the level of lubricity, level of friction, level of surface degradation, and leakage rate at a gate-valve seat interface.

The invention discloses a switching method in a wireless cellular network, comprising the following steps: a base station reports the switching performance or switching problems to an information network core node, the network core node adjusts a switching parameter, and informs the adjusted switching parameter to the base station; the base station adjusts and broadcasts the switching parameter according to the instructions of the network core node. By adopting the method of the invention, the frequency of switching problems, such as ping-pong switching and the like occurring in the cell edge, is obviously lowered, and human intervention is reduced, thus the cost is lowered and efficiency of network optimization is improved. Besides, the technical scheme of the invention can be used for pilot frequency, different system switching parameters optimization and cell reselection parameters optimization.

The present invention relates to a system for growing plants hydroponically on a vertical wall. The system can be used to grow many different species of plants concurrently. The system comprises a specially designed wall together with an integrated and customizable automatic irrigation system for providing nutrients and water, with metered absorption of the nutrients and water by the plants and regulation of excess nutrients and water. The wall may be equipped with an automatic release system which releases the nutrients into the wail's absorbent covering.

The invention provides an adjusting method, adjusting system for an air supply mode of an air conditioner and the air conditioner. The adjusting method for the air supply mode of the air conditioner comprises the steps that relative humidity of a room in which the air conditioner is located is detected, and temperature and air speed of the indoor position in which a user is located are obtained, and sendible temperature of the user is calculated according to the temperature and the air speed of the position in which the user is located and the relative humidity of the room; the air supply mode of the air conditioner is adjusted according to the sendible temperature of the user. According to the technical scheme, the air supply mode of the air conditioner can be adjusted intelligently according to the actual experience of the user, the demands of different users are met, and the usage experience of the users is facilitated to be improved.

A comprehensive electronic business support system comprises three layers: (1) the business layer, including various smart components which unify data and business processes across all customer interactions; (2) the integration layer, including various communications messaging interfaces and enterprise application integration adapters, which provide a flexible, automated, and process driven solution for integrating across business applications and operations support systems; and (3) the presentation layer, including various customer views, which are presented via particular business portals. A smart component server provides the core services and comprehensive business process logic required to successfully conduct business online. The communications messaging interfaces integrate with back-office systems for functions such as billing, provisioning, and interconnection.

Described herein is a process for patient localization within a medical imaging system, having a first and second signal means for identifying patient position. The patient is manually positioned on a patient table at an initial position outside the system. A first signal means is manually positioned adjacent an area of interest on the patient in the initial position and the first signal means communicates that initial patient position to a detection means. The second signal means communicates a desired final patient position location to the detection means. The detection means either essentially continuously monitors and compares said initial and subsequent positions to the final position, or calculates the distance between the initial position and the final position and causes the patient to move from the initial position to the final position when the positions are not essentially the same.

The invention discloses a movable type fire protection extinguishment method used for an electrical power tunnel. By means of the method, fire vehicles can be dispatched to corresponding positions when fire protection dangers happen, and fire extinguishers are remotely controlled by a platform or locally started for extinguishment. In order to shorten the time spent on reaching an accident site, vehicle parking points are arranged on the tunnel at certain intervals, and the fire vehicles are placed at the fire vehicle parking points. The method is high in intelligent degree, light in weight, small in size, moderate in manufacturing cost, flexible in configuration, simple in path, low in maintenance cost and capable of completely achieving tasks and purposes of video surveillance, fire protection touring and linked extinguishment in the electric power tunnel. The movable type fire protection extinguishment method solves the problems that existing monitoring devices used for fire protection and extinguishment in the electrical power tunnel are generally monitoring type cameras which can hardly meet the application in the closed and semi-closed environment of the electrical power tunnel and have the insurmountable defects and disadvantages of being short in service life, narrow in monitoring range and high in maintenance cost.

The invention provides a photovoltaic power station operation and maintenance system; the system comprises a data collecting module, a communication module, a data storage module, a monitor module, a fault warning module, a video module, a specialist diagnosing module, an asset management module, and an operation and maintenance module; the method of linkage among multiple systems is achieved; the portion of manual interference is reduced; effective measures are provided for increasing the operation efficiency and reliability of photovoltaic equipment, reducing system downtime, increasing operation and maintenance efficiency, as well as reducing the operation and maintenance cost, wherein the asset management of full life cycle provides scientific and credible information for financing, transferring and securitization of the photovoltaic power station.

The invention discloses a carton filling and stacking all-in-one machine. The carton filling and stacking all-in-one machine is characterized by comprising a carton conveying line and a storage device, wherein the head portion of the carton conveying line is connected with one side of a carton alignment device; the storage device is connected with one side of a carton filling station through an unpacking forming mechanism; the other side of the carton filling station is connected with one side of a carton strutting device; the other side of the carton alignment device is provided with a robot body; the robot body is provided with a carton filling and stacking grasp structure; a carton clamping and conveying device is arranged on the other side of the carton strutting device and connected with a carton sealing device; a carton labeling station is arranged on one side of the carton sealing device; a first tray and a second tray are arranged on one side of the carton labeling station. The functions of existing single machines are completely integrated on one machine, stations are linked tightly, the structure is compact, and operation is easy. The carton filling and stacking all-in-one machine is suitable for various specifications, stable in performance, high in efficiency and capable of greatly reducing labor cost.

The invention discloses an adaptive spatial clustering method, comprising the following steps of: (1) preprocessing spatial data and selecting features; (2) creating a Delaunay triangulation network according to spatial attribute; (3) performing clustering analysis operations according to the spatial attribute; (4) turning to a step (5) if a spatial solid obstacle is needed to be further considered, and turning to a step (6) if a thematic attribute is needed to be considered, otherwise, ending the spatial clustering operations; (5) introducing a spatial obstacle layer, performing overlap analysis on the spatial obstacle and the side length of the Delaunay triangulation network between the entities in each spatial cluster, and breaking the side length if the spatial obstacle is intersected with the side length; (6) performing the thematic attribute clustering by an improved density-based spatial clustering method; (7) visualizing the clustering result, and outputting the clustering result. The adaptive spatial clustering method is simple and convenient to operate, high in degree of automation, high in calculation efficiency, perfect in functions, strong in applicability and the like, and can effectively improve capability of spatial clustering analysis to excavate deep-seated geoscience rules.

The embodiment of the invention relates to the technical field of service system testing and discloses a service system testing method, device and system. The service system testing method comprises the steps of extracting source service data in a production environment and preprocessing the source service data to obtain service data for testing; loading the service data for testing to a bank application system of a testing environment, wherein the bank application system of the testing environment executes entry operation according to the service data for testing and generates testing environment service data; receiving the testing environment service data, comparing the testing environment service data with the service data for testing, identifying discrepant data and generating a testing report carrying data comparison showing result according to the discrepant data. By means of the service system testing method, device and system, the comprehensiveness, accuracy, coverage rate and testing efficiency of the service data for testing of a service system can be remarkably improved.

The present invention relates to a system for growing plants hydroponically on a vertical wall. The system can be used to grow many different species of plants concurrently. The system comprises a specially designed wall together with an integrated and customizable automatic irrigation system for providing nutrients and water, with metered absorption of the nutrients and water by the plants and regulation of excess nutrients and water. The wall may be equipped with an automatic release system which releases the nutrients into the wall's absorbent covering.

The invention discloses an unmanned aerial vehicle flight control method. the method comprises steps: feature information of a target object is acquired; according to the feature information of the target object, a surrounding radius and a surrounding mode are determined; and according to the surrounding radius and the surrounding mode, a shooting waypoint is determined, and shooting is carried out when the unmanned aerial vehicle flies to the determined shooting waypoint. The invention also provides an unmanned aerial vehicle flight control device. By adopting the method and the device, the unmanned aerial vehicle can be automatically controlled to carry out surrounding flight towards the target object and carry out shooting, and human intervention is reduced.

The invention discloses a dry-wet-freeze-thaw cycle environment simulation and damage and deterioration test device and method for a rock sample. The device is characterized by comprising a vacuum pump, a gas pipeline, a water pump, a liquid pipeline and a temperature control box, wherein the rock sample is placed in a test sample chamber in the temperature control box; high-temperature-resistant radial and axial deformation sensors are respectively arranged in the radial direction and the axial direction of the rock sample; the vacuum pump is connected with the gas pipeline and is connected into the top of the test sample chamber; one end of the water pump is connected with the liquid pipeline and is connected into the bottom of the test sample chamber; a liquid level detector is arranged on a sealing cover body, and is placed in the test sample chamber; and a CT scanning device is arranged on the outer side of the test sample chamber. According to the dry-wet-freeze-thaw cycle environment simulation and damage and deterioration test device for the rock sample, a microcomputer program controller is used for controlling implementation of multi-time cycle simulation of complicated environments of normal temperature to high temperature drying, vacuum forced saturation, cooling freezing, heating defreezing and thawing and the like; a microcomputer is used for radial and axial strain data acquisition and recording; and a CT scanning system is used for testing damage and deterioration in a repeated dry-wet-freeze-thaw cycle process. The device has automatic and integrated features and is economical, environmentally-friendly, low in human intervention and high in test working efficiency.

The invention specifically discloses a flexible charging butt joint mechanism for an automatic walking device. The flexible charging butt joint mechanism comprises a guiding mechanism, a flexible mechanism and a butt joint mechanism, wherein the guiding mechanism is provided with the butt joint mechanism, the guiding mechanism comprises at least a pair of mutually cooperated guide members I, II, the guide member I is installed on an automatic walking mechanism, and the guiding member II is installed on the flexible mechanism. According to the invention, the automatic walking device, after the electric power of its battery is consumed, automatically goes to a charging pile for charging, and the charging loop of the charging pile is accurately and reliably connected to the automatic walking device.

The invention provides a file type identification method and a server. The method comprises the following steps that: dividing a training sample into a training sample for at least one type of viruses and a training sample for normal files; carrying out feature extraction on the training sample to independently obtain the feature set of each training sample; utilizing the feature set of each training sample to determine the feature information library of each type of viruses in at least one type of viruses, and determining the feature information library of the normal files; and on the basis of the feature information library of each type of viruses and the feature information library of the normal files, determining a classification model used for identifying the at least one type of viruses and the normal files.

The invention discloses a one-key start-stop control system for a fuel gas and steam combined cycle unit. The combined cycle unit at least comprises a combustion engine and a combustion engine auxiliary system, a steam turbine and a steam turbine auxiliary system, a waste heat boiler, a BOP (branch of plant) system and a common system; the one-key start-stop control system covers the combustion engine and combustion engine auxiliary system, the steam turbine and the steam turbine auxiliary system, the waste heat boiler, the BOP system and the common system; the one-key start-stop control system is a hierarchical control structure and comprises a unit coordinating level control module, a subgroup level control module and an equipment level control module from an upper layer to a lower layer in sequence. The system provided by the invention realizes safe and reliable start and stop of the combined cycle unit; the start-stop process of the unit is solidified to the control system, so that artificial error operation is prevented; artificial interference in the operation of the unit is greatly reduced, and the reliability of the unit is greatly improved.

A heterogeneous wireless network networking method based on calculation and processing integrates features of a heterogeneous network and features of a cloud wireless access network, and a large-scale cooperative processing and multi-antenna technology is utilized for fully obtaining large-scale cooperative processing and calculation communication gains, reducing operating expenses, improving the network transmission frequency spectrum performance and reducing energy consumption. According to the heterogeneous wireless network networking method, a remote radio frequency unit is not directly connected with a fixed baseband processing unit, but the baseband processing unit and a wireless resource management unit of the remote radio frequency unit are both moved to a large-scale centralized processing server and are connected through a high-speed optical fiber. A traditional macro base station is upgraded to be a heterogeneous multi-antenna super base station to be in cooperative communication with the large-scale centralized processing server. The heterogeneous wireless network networking method based on calculation and processing is flexible in deployment and high in upgrading speed, the cost of constructing and maintaining the wireless access network by operators is lowered, and human intervention in network management is reduced.

The invention relates to an automatic grading control apparatus of a power lithium battery. The automatic grading control apparatus comprises a battery loading unit, an automatic conveying unit, a bar code scanner, a battery OCV detection unit, a battery sorting unit, a battery storage unit and a central controller, wherein the central controller comprises a recognition module, a battery information storage module and a PLC control module, the recognition module and the battery information storage module form a signal connection, the battery information storage module and the PLC control module form a signal connection, the battery loading unit, the automatic conveying unit and the battery sorting unit are controlled by the PLC control module, and a power output terminal of the automatic conveying unit is connected with a conveying belt. The automatic grading control apparatus has the following beneficial effects that: grading is accurate, the system is stable, and human intervention is reduced; the apparatus can be used separately, and can further be integrated in a lithium battery production line; and the space is saved, on-site monitoring and data sharing can be achieved, special duty is not required, and system maintenance is convenient.

The invention discloses a vehicle automatic parking method based on a DQN. The vehicle automatic parking method based on the DQN comprises the following steps of 1, obtaining vehicle position, obstacle information and parking space information at the current time and parking a vehicle to a comparatively reasonable parking initial position; 2, using the well-trained DQN to calculate an expected vehicle front wheel tilt angle according to the vehicle position, the obstacle information and the parking space information at the current time; 3, controlling front wheels of the vehicle to rotate according to the expected vehicle front wheel tilt angle and moving the vehicle; and 4, updating the position of the vehicle at the current time, judging whether the vehicle enters a parking space or not,and if the vehicle reaches the parking space, finishing the parking, and otherwise, updating the obstacle information and returning to the step 2 to recalculate the vehicle front wheel tilt angle. According to the vehicle automatic parking method based on the DQN, by using the DQN to calculate the expected vehicle front wheel tilt angle, related parameters can be automatically learned to greatlyreduce parameter debugging works of a parking system; and the system realizes better fault-tolerant ability and robustness, and the one-time parking success rate of the vehicle is greatly increased.

The invention discloses a data sharing method based on block chain, electronic equipment and a storage medium, and the method comprises the steps that adopting a management platform of the block chainto receive an access request of a data demander for target data; executing an intelligent contract of the block chain in a trusted execution environment to judge whether the data demander meets the access permission condition of the target data or not; and if yes, configuring the data access permission corresponding to the data demander. By means of the mode, the privacy, safety and high efficiency of data sharing can be effectively improved.

The present invention extends to methods, systems, and computer program products for workflow based authorization for content access. A workflow can be triggered when a protection policy does not fully express an intended recipient's rights in protected content. A workflow processes relevant inputs to more fully express the intended recipient's rights in protected content. Workflows can provide policy item updates and authorizations decisions with respect to protected content. Through the use of workflows to make an authorization decision, access to information can become more flexible, allowing it to follow the desired flow of information throughout its lifecycle. This flexibility allows organizations to protect their information without worrying about the protection stopping the natural flow of business.

The invention provides an automation straightener for a drilling tool, which comprises a base, a pressure machine, a roller, a lifting device, a movable cushion block, a detecting trolley, and a control module, wherein the base is used for supporting; the pressure machine is used for pressing against the straightening drilling tool and is movably arranged on the upper part of the base; the roller is used for rotating the drilling tool, and one end of the roller is arranged on the base in a stretchable connection way; the lifting device is used for jacking the drilling tool, and one end of the lifting device is fixedly arranged on the base and positioned at the outer side of the roller; the movable cushion block is used for supporting the drilling tool, and one end of the movable cushion block is movably arranged on the base; the detecting trolley is used for detecting shape and position data of the drilling tool and is movably arranged on the base, and transmits the data to the control module; and the control module receives the data transmitted by the detecting trolley, and controls the actions of the pressure machine, the roller, the lifting device, the movable cushion block and the detecting trolley according to the data and a preset program. The automation straightener for the drilling tool realizes automatic detection and automatic control when the drilling tool is repaired by using the detecting trolley and the control module, thereby largely reducing human intervention, realizing the automation for drilling tool repair and achieving high accuracy of drilling tool repair, rapid speed, and high stability.

The invention discloses a realizing method for a long-distance electrocardiogram monitoring system with automatic analyzing and real-time information sharing functions. The method comprises the steps that 1, automatic dynamic electrocardiogram analyzing equipment collects electrocardiogram signals and motion sensor signals and analyzes the signals in real time; 2, the automatic dynamic electrocardiogram analyzing equipment transmits analysis results in a wireless mode through a low-power-consumption Bluetooth communication module; 3, a user monitoring terminal receives data, processes the data locally in real time and the transmits the data to a long-distance monitoring terminal; 4, information received by the long-distance monitoring terminal is transmitted to a long-distance index real-time analysis processing and early warning module, and processed results are submitted to an information sharing module; 5, the information sharing module enables received information to be shared in real time according to the preset share range and the sharing mechanism. The method has the advantages that data wirelessly transmitted are reduced to the maximum degree, human intervention is reduced, high automation degree analysis is achieved, and the real-time prediction and early warning ability of severe events is improved.