973results about How to "Save manpower and material costs" patented technology

The invention provides a visual saliency detection method combined with image classification. The method comprises the steps of utilizing a visual saliency detecting model which comprises an image coding network, an image decoding network and an image identification model, using a multidirectional image as an input of the image coding network, and extracting an image characteristic on the condition of multiple resolution as a coding characteristic vector F; fixing a weight except for the last two layers in the image coding network, and training network parameters for obtaining a visual saliency picture of an original image; using the F as the input of the image decoding network, and performing normalization processing on the saliency picture which corresponds with the original image; for the input F of the image decoding network, finally obtaining a generated visual saliency picture through an upsampling layer and a nonlinear sigmoid layer; by means of the image identification network, using the visual saliency picture of the original image and the generated visual saliency picture as the input, performing characteristic extraction by means of a convolutional layer with a small convolution kernel and performing pooling processing, and finally outputting probability distribution of the generated picture and probability distribution of classification labels by means of three total connecting layers. The method provided by the invention realizes quick and effective image analysis and determining and furthermore realizes good effects such as saving manpower and physical resource costs and remarkably improving accuracy in practices such as image marking, supervising and behavior predicating.

The invention discloses a cloud remotely-controlled electric vehicle charging station system. The charging station system comprises a charging pile host machine and a charging pile subordinate machine; the charging pile host machine comprises a charging module, a control module, a statistical module, a detection module, a processor, a storage module and a first communication module; the charging pile subordinate machine comprises a charging module, a control module, a statistical module, a detection module, a storage module and a second communication module; the charging pile host machine is in signal connection with the charging pile subordinate machine and a cloud server through the first communication module; and the charging pile subordinate machine is in signal connection with the charging pile host machine through the second communication module. According to the charging station system, statistics on the working states of each charge station can be carried out rapidly; and the charging piles in faults can be handled promptly, so that efficient dynamic management of the charging stations can be realized and the operational cost can be lowered.

The invention discloses a semantic high-precision map construction method based on dot-line feature fusion laser, which comprises the following steps: 1) performing semantic segmentation and feature extraction on a visual image acquired by a camera to obtain a visual image containing semantic categories and dot-line features, and then obtaining a foreground and a background of a moving target; 2)projecting the laser three-dimensional point cloud acquired by the laser radar onto a visual image plane, fitting to obtain a depth map, and endowing the laser three-dimensional point cloud with semantic categories and dot line features; 3) performing super-pixel segmentation on the moving target, calculating the distance between super-pixel blocks, constructing a graph model, performing image segmentation, and accurately extracting the boundary of the moving target; and 4) removing the visual feature points and the laser three-dimensional points belonging to the moving target to construct a static high-precision semantic three-dimensional map. The invention further discloses athe positioning method of the semantic high-precision map constructed by adopting the method, and the mapping is more accurate and reliable by accurately removing the moving target.

The present application relates to machine learning techniques in the field of artificial intelligence, and provides a Claim settlement decision method, device, computer device and storage medium. Themethod comprises the following steps of: receiving a claim decision request sent by a claim settler terminal, wherein the claim decision request carries an identity mark of a patient to be settled; Searching corresponding current diagnostic text and diagnostic results according to the identity identifier, extracting multiple keywords of the current diagnostic text; Searching the target standard words corresponding to the keywords from the preset standard vocabulary database to obtain the target standard words set; Obtaining the trained decision tree model corresponding to the diagnosis results as the target decision tree model, and obtaining the corresponding treatment types of the patients to be settled according to the target standard word set and the target decision tree model; According to the treatment type, querying the corresponding preset claim data, obtaining the target decision data according to the preset claim data, and sending the target decision data to the claim settlerterminal. The method can save the claim cost and reduce the occurrence of wrong claim and omission.

The invention provides a liquid crystal module screen detection device. The liquid crystal module screen detection device comprises a rotary disk, a signal instrument, a color analysis meter, an industrial area array camera, and an industrial control unit. The rotary disk is provided with a bearing plate. The signal instrument is connected with the industrial control unit. The industrial control unit is used to control the rotary disk, and rotates a detected liquid crystal module screen to a liquid crystal display flicker degree detection station or a liquid crystal display lightening frame detection station. When the detected liquid crystal module screen is on the liquid crystal display flicker degree detection station, the industrial control unit controls the color analysis meter to detect liquid crystal display flicker degree on the detected liquid crystal module screen. When the detected liquid crystal module screen is on the liquid crystal display lightening frame detection station, the industrial control unit controls the industrial area array camera to acquire images of lightening frames of the detected liquid crystal module screen, and transmits the acquired images to the industrial control unit to detect image quality. The device greatly improves detection efficiency of the liquid crystal module screen.

The present invention includes monolithic computer portion, program store portion and data buffer portion. Said invention first selects application program storage area, then writing systematical application program in said application program storage area, judging whether said systematical application program is right, if it is right then feeding back systematical application program before updating.

The invention discloses a POI (Point Of Interest) labeling method and device. The method comprises the steps of receiving multiple POI data uploaded by multiple users; carrying out primary clustering on the multiple POI data according to position information by employing a clustering algorithm to generate multiple clustering areas; carrying out secondary clustering on the multiple clustering areas respectively according to names of POIs to generate multiple clustering result sets; and labeling position areas in which the POIs exist according to the multiple clustering result sets. According to the method, by employing mass POI position and attribute information uploaded by the users, the POIs are dug out quickly and accurately, so the cost of manpower and material resources is saved, the POI update speed is improved, and the POI labeling efficiency is improved.

The invention discloses a method for monitoring livestock breeding living body weight based on the internet of things. The method comprises: a camera and a sensor collecting data, when data collectionis completed, transmitting the data to a single board computer, the single board computer integrating the data, and transmitting the integrated data to a C / S terminal of a local terminal to perform next-step processing; on the local terminal C / S, firstly performing living body identification on acquired RGB images, combined with depth point cloud data of a depth camera, deducing a 3D point cloudimage, meanwhile uploading RGB and 3D point cloud images, and individual information of living bodies and environment variable collected by the sensor to a cloud server; the cloud server cleaning anddenoising the 3D point cloud images according to the uploaded individual information and environment variable, after the 3D point cloud images reach a standard, restoring volume to obtain living bodyvolume, and calculating mass; returning an obtained living body mass result to the C / S terminal, if objection for error of mass exists, correcting errors by hand, after error correction, recording anduploading to the cloud server.

The invention provides an electronically-controlled firmware burning and writing method, system, intelligent device and server for intelligent device. The method comprises the following steps: a firing and writing device fires and writes the public version of the electronic control firmware into the intelligent device controller; a scanning device scans the identification code SN information on the intelligent device shell and the physical address MAC information on the intelligent device communication module shell, and sends the information to the server; the server binds the received information and stores it in the database. a communication module sends to the server to obtain the identity code SN information, the communication module writes the received identification code SN information into the host computer of the intelligent device, the intelligent device controller sends a request to the server to request the specific version of the electronic control firmware corresponding tothe category information carried in the identification code SN information, and upgrades the public version of the electronic control firmware to the specific version of the electronic control firmware. The invention can reduce the error probability of the production line, improve the automation level of production and detection, improve the production speed, reduce the operation station and savethe cost.

The invention discloses an offshore fan pile foundation design method and application thereof. According to the offshore fan foundation design specifications and the offshore fixed platform design specifications, design calculation analysis is carried out based on ocean engineering design analysis software structural analysis computer system (SACS). The design calculation analysis comprises a fundamental analysis, a modal analysis, a seismic analysis, an ice load analysis, a hoisting analysis, a transportation analysis and an installation analysis. Through the method, actual environmental conditions of offshore fans are totally considered in the method, the analyses are accurate, results are reliable and design efficiency is high. Meanwhile, all aspects of foundation design, hoisting, transportation and installation of the offshore fans are considered in the design method. Therefore, the offshore fan pile foundation design method has the advantages of systematicness and comprehensiveness, and can be applied to intertidal belt fan pile foundation design.

The invention belongs to the technical field of tracing tests, and particularly relates to a trace element detection method among wells. The trace element detection method among the wells includes following steps: screening trace element tracer, calculating the use amount of the trace element tracer, injecting the trace element tracer into a water injection well after the use amount of the trace element tracer is figured out, sampling and detecting the trace element tracer, performing fitting on a trace element tracer production curve, figuring out stratum parameters, performing dynamic and static analysis on an oil well of a monitored well area, using a half analytic method to analyze, process and explain tracing monitoring information, and quantitatively or qualitatively acquiring static and dynamic information among oil reservoir wells, among layers of each oil reservoir well, in each layer of each oil reservoir well and around the oil well of the monitored well area; performing geologic modeling, obtaining a characteristic parameter variation rule, performing numerical simulation calibration and perfection, evaluating measure development effects, and designing measure technological parameters. The trace element detection method among the wells is simple and convenient to operate, low in cost and wide in application prospect.

The invention relates to a medical device intelligent cloud management and maintenance system and method. The system comprises a medical device terminal, a data transmission device, a cloud service center and a service terminal; the medical device terminal is electrically connected with the data transmission device; the data transmission device is connected with the cloud service center via wireless signals; and the cloud service center is connected with the service terminal via an Internet. The method for implementing the intelligent cloud management and maintenance of a medical device by using the system provided by the invention comprises the following steps: establishing a connection between the data transmission device and the cloud service center; transmitting information to the cloud service center by the service terminal; transmitting signals to the data transmission device by the cloud service center; and feeding the received signals back to the medical device terminal by the data transmission device. The medical device intelligent cloud management and maintenance system and method provided by the invention have the beneficial effect of intelligently maintaining the medical device by automatically controlling, correcting and feeding back relevant modules of the medical device without the limitation of wired network access so that costs of manpower and material resources for the maintenance of the device are greatly reduced.

The invention relates to a remote restarting system of secondary equipment in a transformer substation. The remote restarting system comprises a master station system module, a remote control upper computer module and a controlled system, wherein the remote control upper computer module is in communication connection with the master station system module, the controlled system is in communication connection with the remote control upper computer module, and the controlled system is in signal connection with the secondary equipment in the transformer substation. The remote restarting system has the substantial characteristics as follows: any equipment in operation is not required to be shut down, and a remote initialization system can be mounted; the connection ports of the system and other equipment are obvious after the system is mounted, so that the responsibility is clear and definite after equipment failure, and safety and reliability can be guaranteed; and the system is simple to mount, obvious in economic benefit, safe and practical, can monitor operation conditions of controlled equipment at the controlled end, can immediately give a warning prompt after abnormity is found and can restart the controlled equipment through remote control, so that the efficiency is improved, the costs of manpower and material resources are reduced, the processing time of a large part of emergent defects is greatly shortened, and the stability and the safety of a power grid are improved.

The invention relates to an on-line examination system and a method for a steel pipe. The system comprises a pipe mouth image collecting device, a pipe wall image collecting device, an upper computer module and a power source. The pipe mouth image collecting device and the pipe wall image collecting device are respectively connected with the upper computer module to collect the steel pipe mouth image and pipe wall image and then the steel pipe mouth image and the pipe wall image are sent to the upper computer module. The upper computer module is used for analyzing the collected image, rejecting disqualified steel pipe and counting parameter acceptability of the steel pipe mouth and the pipe wall. The power source is respectively connected with the pipe mouth image collecting device, the pipe wall image collecting device and the upper computer module and is used for supply electric power to the pipe mouth image collecting device, the pipe wall image collecting device and the upper computer module. The on-line examination system and the method for the steel pipe have the advantages that artificial interference is not needed, accuracy is high, precision and production efficiency are high, labor intensity is reduced, instantaneity is high, practical applicability is high and cost is low.

The invention discloses a live broadcast and time shifting playing method and system. The method comprises the following steps: using an open source nginx server to realize an http (Hyper Text Transport Protocol) service and a file slice function required by live broadcast and time shifting; through a rtmp protocol, uploading audio and video data to the nginx server by a video source, and slicing the audio and video data into ts files through a slice module, and generating an m3u8 file; and developing a file and play message record module to record ts file information generated by each live broadcast, and then transmitting required ts files to different play requests according to live broadcast and time shifting request information, play record information and file record information; therefore, an efficient live broadcast and time shifting server can be realized simply and rapidly.

The invention relates to an offshore wind turbine foundation full-time coupling fatigue analyzing method and system. The method includes utilizing SACS software to build an offshore wind turbine foundation and a tower model; outputting a foundation structure data file precede.$PJ; operating BLADED software to read the foundation structure data file precede.$PJ and conducting fatigue work condition load calculation; operating the SACS software to read fatigue load under various work conditions and calculated through the step C and corresponding spectrum parameters, calculating and accumulating fatigue damage under various work conditions and calculating the fatigue service life. The system comprises a modeling module, a model output and storage module, a fatigue work condition load calculation module and a fatigue service life calculation module. By means of the method and system, fatigue calculation and frequency domain and time domain analysis under wind wave flow full-time coupling and fatigue coupling analysis with fatigue load work conditions combined with spectrum curves can be conducted on an offshore wind turbine foundation.

The invention discloses a microbial-disease relation prediction method based on the similarity and the double random walk. According to the method, firstly, the disease function similarity is constructed by utilizing the disease gene relation and the gene function similarity information. Secondly, the disease Gaussian kernel similarity is constructed according to the known microbial disease relation. On the basis of the disease function similarity and the Gaussian kernel similarity, a final similarity of diseases is integrated. The similarity of microorganisms is derived from the Gaussian kernel similarity of the known microbial disease relation. The microorganism similarity information, the disease similarity information and the known microbial disease relation information are integratedinto a double-layer heterogeneous network. In this way, the microbial disease relation prediction is carried out in the heterogeneous network by utilizing the double-random walk method. According to the method, the relation between microbial diseases can be predicted. The method provides a foundation basis for biological experiments. By adopting the method, the manpower and the material cost are saved.

The invention relates to an intelligent street lamp management system based on NB-IoT. The intelligent street lamp management system is characterized by comprising a street lamp terminal, a base station, a core network and a monitoring terminal, wherein the street lamp terminal is connected with the monitoring terminal through the base station and the core network and comprises a power adapter, a single lamp controller and an LED lamp which are connected in sequence; the single lamp controller comprises a main control module, a power supply module, an NB-IOT communication module and a sensor module; the main control module is connected with the power supply module, the NB-IOT communication module and the sensor module respectively; and the power supply module is also respectively connected with the NB-IOT communication module and the sensor module. The system has the functions of automatic dimming according to the environments, remote control, parameter monitoring, fault detection and the like, the remote control is achieved through an NB-IoT novel Internet of Things communication technology, the street lamps in one area are managed in a unified mode through the monitoring center, the street lamp terminals are flexibly controlled according to different rules, and the power consumption of the street lamps can be reduced.

The invention provides an apparatus and method for detecting SO2 in SF6 electrical equipment based on ultraviolet fluorescence. The apparatus comprises an induction regulator, a corona-free experimental transformer, a partial discharge protection-free resistor, a standard capacitance voltage divider, a non-inductive resistor, a GIS analog element and a digital storage oscilloscope. An ultraviolet fluorescence system is arranged and comprises a fluorescence excitation assembly, a fluorescence capturing assembly and a gas passage assembly. In detection, performance parameters of the system are measured at first, and then the concentration of a discharging trace component of sulfur hexafluoride gas is detected. The apparatus and method provided by the invention can realize real-time, on-line and continuous monitoring and are widely applicable to detection of decomposition components of sulfur hexafluoride under the condition of partial discharging in SFT gas insulation electrical equipment, especially GIS equipment; and a simple and reliable method is provided for theoretical analysis of and applied research on state detection of SF6 in GIS equipment in scientific research, teaching and research institutes, equipment manufacturers and electrical power systems.

Disclosed in the invention is an energy-harvesting-circuit-based piezoelectric-electromagnetic composite energy harvesting device. The invention relates to a piezoelectric-electromagnetic composite energy harvesting device capable of improving an output power, which belongs to the technical field of the new energy and power generation. The piezoelectric-electromagnetic composite energy harvesting device comprises a piezoelectric-electromagnetic composite energy harvesting device body and an energy collection circuit. The piezoelectric-electromagnetic composite energy harvesting device body consists of a housing, a coil, an upper permanent magnet, a piezoelectric ceramic material, a foundation beam, a tapered permanent magnet, a lower permanent magnet, an upper electrode, a piezoelectric plate, a lower electrode, a left piezoelectric plate upper electrode lead, a right piezoelectric plate upper electrode lead. The energy collection circuit includes an electromagnetic energy harvesting device energy collection circuit, a piezoelectric energy harvesting device energy collection circuit, and a charging circuit for realizing composite charging and preventing current returning. According to the invention, conversion from an alternating current to a direct current is realized; the output power supply is improved for a load. The energy harvesting device has advantages of green and pollution-free effects, high energy density, shortened charging time, high reliability, high environment adaptability, convenient operation control, and low maintenance cost and the like.

The invention discloses a method for making support removal of metal 3D printing convenient by adoption of a low-melting-point alloy. By the adoption of a double-sprayer print system, a main sprayer supplies a main body material and used for printing a main body component of a product. An auxiliary sprayer supplies the low-melting-point alloy material and is used for printing a supporting piece of the product. After the product is printed and formed, heat treatment is conducted, and then the supporting material is molten. The method can be applied to a 3D printing manner adopting direct metal smelting, and a low-melting-point alloy auxiliary supporting material can be removed at the same time when a heat treatment technology is conducted; and in this way, compared with prior processing, no new technological link is added in the whole process; compared with other post-processing manners, the method can greatly save time, reduce labor and material cost and obtain a better surface quality; and meanwhile, the molten low-melting-point alloy can be recycled, and the method better meets the environment-friendly manufacturing principle.

The invention relates to an HTTP state code monitoring method and apparatus, a storage medium and an electronic device. The method comprises the following steps: receiving at least one HTTP request sent by a client by a webpage server, and generating at least one piece of corresponding HTTP response in response to the at least one HTTP request; analyzing and judging whether the at least one piece of HTTP response carries a preset HTTP state code, and if so, forwarding the preset HTTP state code to a corresponding cache server according to a preset configuration file, wherein the preset configuration file at least comprises a forwarding path relationship between different preset HTTP state codes and the corresponding cache servers; and returning a corresponding preset page to the client by the cache server according to the preset HTTP state code. The HTTP state code monitoring method and apparatus provided by the invention have very high generality and universality for different service types on the collection and monitoring modes of the HTTP state codes.

The invention provides an automatic detection control device for a heavy rammer, which comprises a high-frequency detection proximity switch, a gear ring and a controller, wherein the gear ring is arranged on the side face of a winding drum of a winding engine; the high-frequency detection proximity switch is close to the gear ring and is arranged on the outer side of the winding drum; and the controller is connected to the high-frequency detection proximity switch. The automatic detection control device for the heavy rammer detects the rotation speed of the winding drum by using the high-frequency detection proximity switch and consequently calculates the released length of a steel wire rope on the heavy rammer so as to realize the automatic brake of a pounder falling freely with a load. The structure of the device is simple and the operation of the device is convenient; therefore, labor cost and material cost are saved considerably, and the working efficiency of the heavy rammer is improved effectively.

The invention discloses a wireless network system and a method for testing an electronic device. The system comprises a wireless test server and at least one work station to be tested, wherein each work station to be tested comprises a plurality of devices to be tested, a signal converter and a UART (Universal Asynchronous Receiver / Transmitter) adapter. The wireless test server controls the URAT adapter to be in wireless connection with a multi-path radio frequency unit by an antenna of the URAT adapter, a test instruction of the device to be tested is generated, and the multi-path radio frequency unit is controlled to convert the test instruction into wireless test signals. The signal converter converts the wireless test signals received by the URAT adapter into test instructions, the test instructions are transmitted to the device to be tested for test, and the corresponding result is generated and then is converted into UART signals, wherein the device to be tested is connected with the signal converter. When the multi-path radio frequency unit receives the UART signals transmitted by the UART adapter, the multi-path radio frequency unit is controlled to convert each path of UART signals into test information. By the implementation of the invention, a plurality of electronic devices can be tested simultaneously through a wireless network, the test cost is saved, and the utilization ratio of a production space is utilized sufficiently.