161results about How to "Liberate human resources" patented technology

The invention provides an artificial intelligence assisted administrative examination and approval method based on a knowledge graph. The method comprises the steps of establishing an examination andapproval rule base; constructing an approval body based on an approval rule base; Extracting approval knowledge in the approval material; establishing a relationship between the approval ontology andknowledge from the extracted approval knowledge based on the approval ontology, and constructing an approval knowledge graph; based on the constructed approval knowledge graph, according to differentapproval items of approval materials, obtaining related approval knowledge by utilizing a query function of the knowledge graph, and performing automatic approval; outputting approval results. Meanwhile, the invention provides an artificial intelligence auxiliary administrative approval system and terminal based on the knowledge graph. Technical support is provided for high-efficiency and intelligent administrative approval, window workers are assisted in completing item auditing, the auditing speed of the workers is increased, and the auditing accuracy and the working efficiency are improved.

The invention discloses a network and method for a hospital traditional Chinese medicine distribution service. Purchase, decoction and distribution services of traditional Chinese medicine of a hospital are completely contracted out to an SPD operating center. A method for the hospital traditional Chinese medicine distribution service based on SPD comprises the steps that medicine use information is determined by the SPD operating center according to patient prescription information sent by an HIS and the SPD operating center purchases raw materials of the traditional Chinese medicine in a centralized mode according to demand information; after the prescription information is classified, audited, checked and registered by the SPD operating center, the traditional Chinese medicine is decocted in a centralized mode through a traditional mode; the decocted traditional Chinese medicine is distributed by the SPD operating center in a centralized mode according to the requirements of the hospital and a patient. According to the method, professionalization capacity and professionalization resources can be fully used, the hospital puts all vigor on medical services, and a third party logistics integrated service provider has the ability to improve the quality of traditional Chinese medicine decoction pieces and reduce risks in the decoction process. Meanwhile, the traditional Chinese medicine decoction service of the hospital is completely contracted out and separated, so that the traditional Chinese medicine logistics service operating cost of the hospital is effectively reduced, and the operation efficiency is improved.

The invention discloses an automatic detection method for a large transfusion production line, including the following steps: 1, making a transfusion bottle filled with liquid medicine rotate in a high-speed, then rapidly stopping the transfusion bottle, so that the liquid medicine in the bottle has a self-rotating movement under the inertia; 2, picking-up a plurality of images of the transfusion bottle in which the liquid medicine is in a self-rotating state; 3, respectively digitally processing and mutually comparing to the plurality of images, distinguishing the exogenous impurity in the liquid medicine, in order to judge whether the bottle of liquid medicine is qualified. The invention also discloses an automatic detection apparatus for a large transfusion production line, which is characterized by including a rotation device, a controller, a video camera and an image processing apparatus, wherein, the output end of the controller is connected with the control terminal of the rotation device, a gripping device for fixing up the transfusion bottle, a rotating work station and a detecting work station are provided on the rotation device, and the video camera outputs data to the image processing apparatus. The invention can automatically detect whether impurity exists in the liquid medicine, with high testing accuracy and fast testing velocity.

The present invention provides an information interaction system of digital control processing workshop, wherein the information interaction system comprises an information interaction server, manufacturing executing software which is disposed on the information interaction server, and an information alternation terminal provided with a touch display screen. The manufacturing executing software realizes the information alternation. The manufacturing executing software comprises a data collection and information interaction module, a work order management module, a technical data management module, a pattern browsing and program transmission control module and a data statistics analysis module. The system can automatically display the work order and technical data on the information interaction terminal of each station in the production field dynamically according to the device number and employee number of operator. The operator can browse the technical data, download the digital control processing program and quickly collect the production data through the information interaction terminal. The invention realizes the dynamic transmission of field production information and quick collection of production data in the digital control processing workshop. The real-time implementation of workshop production control is increased. The quick response capability and production efficiency of production process of digital control workshop can be greatly increased.

The invention provides a machine visible recognition method used for recognizing foreign matter in profiled bottled liquid of pipelining, comprising the steps as follows: 1. a the profiled bottle is arranged at a first detection working position and the profiled bottle is inversely arranged; and black foreign matter is detected by photographing images; 2. the profiled bottle is arranged at a second detection working position and in a normal position and the white foreign matter is detected by photographing images; 3. digital image tracking processing is carried out to the obtained multi-frame serial images so as to obtain the result used for judging whether the profiled bottle is qualified or not; and 4. according to the judgment result, the unqualified bottles are removed out of the detection pipelining. The invention also discloses a machine visible recognition device used for recognizing the foreign matter in the profiled bottled liquid of pipelining. The device and the method can achieve the automatic and quick detection of the foreign matter in the liquid of the profiled bottle of the pipelining.

The invention discloses a target detection method and system based on camera and radar fusion. The detection method comprises the steps that firstly, radar data detected by a radar and an image acquired by a camera synchronously are acquired; secondly, the radar target in the radar data is subjected to information correlation filtering and Kalman filtering, and the effective radar target is screened out; then, the camera target in the image is detected through a deep learning method and the target information of the camera target is acquired; and finally, the effective radar target and the camera target are fused by a cross-small ratio method, and the fused target result is screened and output. By adopting the detection method, the target leakage detection rate and the false detection rateare effectively reduced, the fusion target result is screened, and the accuracy of the fusion target result is ensured.

The invention provides a test system, method and device; the test system comprises a central controller, at least one physical machine, and a plurality of tested devices physically connected with connectors of the physical machine; each physical machine is provided with at least one virtual machine capable of testing the tested device; the control controller receives a test task, and sends a test order to the physical machine having one or more virtual machines; the physical machine receives the test order, starts the corresponding virtual machines, and the started virtual machines can identify the tested device, thus executing the test task. The physical machine and virtual machine can realize interaction work, and the virtual machine can identify the tested device so as to realize automatic testing of the tested device in the virtual machine; manual plugging is not needed, so manpower resource is librated, thus largely improving test efficiency.

A method for predicting the spatial and temporal distribution of passenger flow in airport based on XGBOOST includes dividing the interior of airport into a plurality of regions, arranging a pluralityof WIFI hardware in each region, and storing the information sent by each WiFi hardware into a large data platform. The information sent by each WiFi hardware in the big data platform is counted andanalyzed, and the number of connected terminals in each area in each time period is obtained. Extracting the characteristics of the passenger flow distribution affected by the time to be predicted, and extracting the number of connected terminals in the same time period in the past of the time to be predicted as the historical characteristics; the characteristics of passenger flow distribution andhistorical characteristics are taken as the training data set of XGBOOST, and the training data set is trained by XGBOOST, and the prediction model is obtained. The number of connected terminals in each area is predicted by the prediction model, and the predicted value of the number of connected terminals in each area is obtained. The number of people in each area at the predicted time is obtained by mapping the number of connected terminals in each area to the ratio of the actual number of people.

The invention discloses a mountain tunnel anti-seismic analysis method. For the aspect of cross section anti-seismic analysis of a tunnel, based on a stratal elastic shear deformation theory, horizontal stratum deformation, vertical stratum deformation and seismic self-weight inertial force of broken rock bodies at the top of the tunnel are considered at the same time, and related problems of tunnel cross section seismic resistance are studied; and for the aspect of longitudinal overall anti-seismic analysis of the tunnel, an elastic foundation beam is taken as a model, interaction of the tunnel and surrounding rocks is considered, a dynamic balance equation of a tunnel structure is created according to an anti-seismic dynamic theory and a deformation transfer theory by utilizing continuum mechanics, and a classic seismic deformation method is a particular case of the method. According to the method, the cross section anti-seismic analysis and the longitudinal overall anti-seismic analysis of the mountain tunnel are performed by adopting unified thought for the first time; the thought is novel; the method is feasible; and through example verification, the method has relatively good applicability for mountain tunnel primary design under the action of strong earthquake.

The invention discloses a dynamic capacity expanding daily operation strategy based on F5 server nodes, comprising the following steps: obtaining data; calling eight indexes of an evaluation system; adding the scoring results for the eight indexes to a database; calculating the total evaluation score by the same-level information system; when the total evaluation score is above or equal to eighty, starting the dynamic capacity reduction; when the total evaluation score is below eighty, starting the capacity expanding; when the dynamic capacity reduction is started, automatically deleting the backup nodes by the system; and when the dynamic capacity expanding is started, automatically adding the backup nodes by the system. According to the invention, proper resource allocation can be completed for F5 server nodes, which can steer clear of risks in advance, liberate human resources and realize automation.

The invention provides a family education equipment-based auxiliary learning method and family education equipment. The family education equipment-based auxiliary learning method comprises the steps:obtaining a click-to-read picture of a user when entering a click-to-read mode and detecting that the user carries out the click-to-read operation of a book, wherein the click-to-read picture comprises the page number positioning information of a click-to-read page; determining a target page number of the click-to-read page according to the page number positioning information; and determining a target delineation frame according to the user finger coordinate information in the point reading picture and the delineation frame coordinate information of the target page number, and playing a pointreading voice file corresponding to the target delineation frame. The family education equipment-based auxiliary learning method improves the touch reading function and the dictation function of the family education equipment, so that the user experience is better.

The invention discloses an automatic clamping and feeding mechanical gripper. The automatic clamping and feeding mechanical gripper comprises a device body which comprises a table, wherein table legsare fixedly arranged at the four corners of the bottom and two ends of the middle part of the table; supporting non-slip mats are arranged at the bottoms of the table legs; two connecting rods are fixedly connected between the two closest supporting legs; a first bearing plate is fixedly arranged at one end of the top of the table; and a first conveyor belt is arranged on the top of the first bearing plate. The automatic clamping and feeding mechanical gripper has the beneficial effects that the device is provided with a first conveyor belt, a second conveyor belt, a second air cylinder, a second piston rod, a clamp seat, a clamp side plate, a first movable plate and a clamping jaw, so that the clamping function of workpieces can be realized, and workpieces of different sizes can also be clamped; after clamping, the workpiece on the first conveyor belt is put on the second conveyor belt through the movement of the air cylinder and a piston, and thus, the clamping and feeding functionsof the device are realized; and the applicability of the device is improved.

The invention discloses a parking space management system and a parking space management method. The parking space management system comprises a detection unit, a prompting unit and a control unit, wherein the detection unit comprises at least one laser radar; the laser radar is fixed above parking spaces; the detection range of the laser radar at least covers one parking space; the laser radar detects a parking space region, acquires real-time point cloud data and transmits the real-time point cloud data to the control unit; the control unit is used for determining the contour of a vehicle according to the real-time point cloud data when determining that the vehicle exists in the parking space, comparing the contour of the vehicle with a side boundary position of the parking space, and sending a prompting command to the prompting unit when the distance between the contour of the vehicle and the side boundary of the corresponding parking space is less than a threshold value; and the prompting unit is used for sending a prompt to a vehicle owner according to the prompting command so that the vehicle owner can adjust the vehicle position according to the prompt. According to the parking space management system and the parking space management method, the parking spaces can be monitored, vehicle owners can be automatically guided to park vehicles, and therefore operation pressurecan be relieved, and manpower resources can be liberated.

The invention discloses a system for automatically acupuncturing acupuncture points of rats and mice. The system comprises a rat fixing device, an acupuncturing device, and a computer, wherein the computer controls the acupuncturing device to perform actions, the rat fixing device comprises a rat bed, four-limb rings, a neck ring and a trunk softening belt, the acupuncturing device comprises a telescopic rod, a bracket, a rotation arm, an acupuncturing needle, an acupuncturing needle connection member, a moxa stick box and a pushing device, and the computer comprises a module for controlling the bracket and the rotation arm to move, a module for controlling angles and depth of the insertion needle, a module for controlling the length of a moxa stick which enters the moxa stick box, and a module for controlling the rotation arm to automatically shake. The acupuncturing system can be used for automatically acupuncturing rats and mice, so that labor resources are saved, meanwhile, the danger that operators are bitten by animals when performing acupuncture is avoided, acupuncturing efficiency is improved, and acupuncturing standardization is facilitated; computer software is used to control the acupuncturing device so that a means of intervention on animals is objectively evaluated.

The invention discloses to an automatic test system and method for gas permeability based on artificial intelligence. The upper test chamber and the lower test chamber of the system are both of hollowstructure; a constant-temperature water bath device communicates with an internal circulation pipeline to control the temperature; a differential sensor communicates with the upper test chamber; a lower chamber vacuum sensor communicates with a lower test chamber; a temperature and humidity sensor acquires temperature and humidity; a test gas source communicates with a gas path of the upper testchamber and is provided a first on-off valve; a branch exhausting pipeline communicating with the gas path of the upper test chamber is provided a second on-off valve; a vacuum pump is in communication with the gas paths of both the upper test chamber and the lower test chamber; and a test terminal controls the on-off valves to collect the data acquired by the sensor. The test system of the invention can automatically complete tests without manual intervention, and is accurate in measurement result, high in test efficiency and reduced in test cost.

The invention relates to the technology of Internet security and aims at providing a cloud monitoring solving system and method. The system comprises a server connected with client sides, cloud virtual machines at server sides, and a data collection module. The data collection module is connected with a service registration center. The cloud virtual machines are connected with the service registration center through utilization of proxy modules. The proxy modules are mounted in the cloud virtual machines. The service registration center is used for receiving and storing registration information from the cloud virtual machines. The data collection module calls real-time registration information queried by the proxy modules according to a configuration rule issued by the server. The system and the method can be rapidly integrated with an existing cloud platform, so development cost is reduced; large-scale cloud host cluster monitoring is supported; computing capacity is high, various computing modes such as interpolation and preprocessing can be provided, and various aggregate functions are supported; and related functions such as automation, clustering and service discovery can be realized, a great number of manpower resources can be librated, and change of flexible computing resources is sensed and monitored in real time.

The invention discloses a grinding type stripping machine capable of monitoring a grinding disc. The grinding type stripping machine comprises a machine frame, a stripping mechanism, a positioning mechanism, feeding and supporting mechanisms, a conveying mechanism and a monitoring mechanism, wherein the stripping mechanism is arranged on the machine frame, the positioning mechanism is arranged on one side of the stripping mechanism, and the monitoring mechanism is arranged on the positioning mechanism; the grinding disc is arranged on the stripping mechanism; and the monitoring mechanism comprises a visual sensor, a marking patch, a buzzer and a PLC, wherein the visual sensor is opposite to the grinding disc, the marking patch is arranged on the grinding disc and covers the side surface of the grinding disc, and the buzzer is arranged on the PLC. The invention further discloses a working method and a monitoring method for the grinding type stripping machine. According to the grinding type stripping machine and the working method and the monitoring method for the grinding type stripping machine, the phenomenon of the large cutting depth can be effectively avoided, and a tool can be protected; the grinding degree of the grinding disc can be automatically monitored, and an alarm can be given; and by means of mechanical feeding, time and manpower resources can be saved.

The invention discloses an offline machine use ratio calculation system. The offline machine use ratio calculation system comprises a machine end file generation unit, an analysis unit, a database and a calculation unit. The machine end file generation unit is used for generating machine end files according to a preset naming rule. The analysis unit is used for analyzing the file names of machine end files so as to extract run parameter information of offline machines for processing each wafer. The database is used for storing run readiness time of each offline machine and run time functions related to run parameters of the offline machines for processing the wafers. The calculation unit is used for calculating the run time of each wafer according to the running parameter information of the offline machines for processing each wafer and the run time functions, and obtaining the total run time of the offline machines for processing all the wafers and the use ratio of the offline machines according to all the run time and all the run readiness time. The invention further provides an offline machine use ratio calculation method, and statistics can be effectively carried out on the real use condition of the offline machines.

The invention discloses a method for automatically identifying installation direction of an OBD device in a vehicle based on genetic algorithm. In the method, turning of the vehicle is judged according to output of a gyroscope, output of an accelerometer obtained when angular speed of turning is in peak is used as fitness value of the genetic algorithm, the fitness value is put into the genetic algorithm, and accordingly, the installation direction of the OBD device in the vehicle is determined. With the method provided by the invention, the OBD device automatically identifies the installation direction in the vehicle, and the problem of difference of installation directions of the OBD device in different vehicles is solved.

The invention discloses an automatic filling sealing line for lubricating oil, and relates to the technical field of lubricating oil production equipment. The automatic filling sealing line for the lubricating oil comprises a filling machine, a conveying assembly line is arranged on one side of the filling machine, the whole conveying assembly line is in a hook shape, one section of the conveyingassembly line is in a straight line, the other section of the conveying assembly line is in an arc, a cap sealing machine and a sealing machine are sequentially arranged on the straight line section,and are used for performing cap sealing and sealing on a lubricating oil barrel, the cap sealing machine comprises a machine body and a channel arranged on the machine body, and is used for storing abottle cap, a pushing part is arranged at the position of an outlet of the channel, and is used for pushing the bottle cap to the lubricating oil barrel for cap sealing. The lubricating oil barrel does not need to be placed, taken down or sealed with the cap manually, the lubricating oil barrel obtained after filling is completed can be automatically sealed, the whole mechanical degree is relatively high, streamline production is adopted, the filling speed is relatively high, the production efficiency is improved, the production cost is reduced, manpower is liberated, and more production resources are provided.