970results about How to "Save manpower and material costs" patented technology

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 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 auxiliary system, a device and a method of note printing. The system comprises a server-side and the auxiliary device which is arranged on a service network station, and the auxiliary device is connected with network through a network interface and connected with a note printing device through a data interface. The server-side comprises a note data acquisition unit and a note data sending unit, wherein the note data acquisition unit is used for receiving note data submitted by a buying user through a page, and the note data sending unit is used for sending the note data to a target auxiliary device according to a preset network protocol. The auxiliary device comprises an analysis unit, a data conversion unit, and a data input unit, wherein the analysis unit is used for analyzing information sent by the note data sending unit so as to acquire note types and note contents, the data conversion unit is used for converting the note contents into formats which can be recognized by the note printing device according to preset data conversion methods corresponding to the note types, and the note input device is used for inputting data after conversion into the note printing device for printing so as to obtain corresponding notes. By means of the auxiliary system, the device and the method of the note printing, note printing efficiency can be improved.

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 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 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.

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 discloses a stir friction welding method for a hollow aluminum extruded section splicing arc plate, and belongs to the field of welding method of a large arc roof plate component of an aluminum alloy car body of a railway passenger car. For stir friction welding of the aluminum alloy car body roof arc plate component of the railway passenger car, and a welding sequence of one-step reversed assembling and two-step forward assembling and a control method for weldment assembly interval values are proposed; a thickened protrusion is arranged on the position, adjacent to a weld seam,of the outer surface of the aluminum alloy hollow extruded section, the protrusion width and the diameter of the root of a stirring needle are maintained at a ratio of 95% to 105%, in order to ensurethe size of a post-weld workpiece, during the two-step forward assembling, when pre-fabrication reverse deformation friction stir welding is conducted, a thickened raised metal is filled in the gap generated at the weld seam of the outer surface of the pre-fabrication deformed curved section aluminum alloy hollow extruded section by the rotary extrusion of a stirring head, and the friction stir welding does not require additional raised metal grinding removal work; the method ensures the structural size requirement of aluminum alloy product components of the curved section hollow extruded section.