25results about How to "Accurate information" patented technology

The invention relates to the technical field of case server management, in particular to a case server management method and system, and the method comprises the following steps: carrying out the weighted processing of an obtained abnormal comprehensive image value, a color deviation comprehensive mean value and an environment influence total coefficient, and obtaining a cooling fan efficiency coefficient; and judging whether the running heat dissipation state of the case server is in a normal state or not according to the heat dissipation fan efficiency coefficient. According to the method, possible problems of the fan can be found in advance through analysis of the state of the cooling fan, the fan is maintained in time, the blockage degree of the air inlet and the air outlet is accurately judged through multi-angle image analysis and color deviation comprehensive value calculation according to the blockage condition of the cooling holes, and therefore the blocked cooling holes are cleaned in time, and the service life of the cooling fan is prolonged. The analysis of the operation environment data of the case server and the calculation of the environment influence coefficient are beneficial to the real-time monitoring of the influence of the environment on the heat dissipation of the server.

The invention discloses a private cloud traffic scheduling platform certificate management method and device, equipment and a storage medium, and relates to the technical field of certificate management, and the method comprises the steps: obtaining certificate information detected by a detector on a load balancing server, determining a domain name using a corresponding certificate and having https access traffic on the load balancing server according to the certificate information, detecting the domain name using the corresponding certificate and having https access traffic to obtain detection information, the detection information comprising a health state of a TLS connection between the load balancing server and the certificate and certificate chain information, and sending the detection information to the load balancing server; and matching an associated user corresponding to the certificate information according to the certificate information, detecting the health detection information, generating alarm information when the health detection information meets a preset alarm condition, and sending the alarm information to the associated user, so that the information of the certificate can be ensured to be accurate and not easy to distort, and the user experience is improved. Meanwhile, the resource consumption is also reduced.

The invention discloses a digital twinborn mechanism model optimization method and system, and particularly relates to the technical field of digital twinborn, and the method comprises the steps: S1, determining a model building region: determining data in a target engineering water supply region as a target model building region, and dividing the target model building region into sub-regions according to an equal-time division mode, sequentially numbering the sub-regions in the target model building region as 1, 2,..., n; s2, data acquisition: water conservancy professional information and engineering water supply data in the model building area are acquired in real time, the engineering water supply data are transmitted to a data processing step, and the water conservancy professional information is transmitted to a model building step; the advanced digital twinning mechanism model is adopted, the real-time performance is excellent, real-time monitoring and dynamic adjustment of physical entities can be easily achieved, the data processing technology is advanced, and massive and heterogeneous data can be efficiently processed.

The invention relates to the technical field of intelligent voice interaction, discloses an intelligent voice interaction method and system for an osteoporosis therapeutic instrument, and aims to improve the convenience of equipment and the user experience. According to the method, user voice interaction data is acquired, a user intention is identified by using an intention identification model, and a therapeutic apparatus response strategy is generated based on a dialogue management model constructed by a deep reinforcement learning A3C algorithm. The system converts the response strategy into voice output, and provides efficient and intelligent interaction experience for the user. The dialogue management model is trained by adopting a dialogue data set containing multiple rounds of dialogue scenes, so that the intention of the user is accurately understood and proper response is given. Through intelligent voice interaction, the user can easily know information such as the treatment principle, the operation process and the treatment effect, and the usability of the equipment and the user satisfaction degree are remarkably improved. According to the invention, the operation process of the osteoporosis therapeutic instrument is simplified, and the intelligent level of voice interaction is improved through the deep reinforcement learning technology.

The invention belongs to the technical field of unmanned aerial vehicle autonomous navigation, and particularly relates to an unmanned aerial vehicle path planning inspection method based on a three-dimensional model and electric quantity constraint, which comprises the following steps: constructing a three-dimensional model, and setting inspection points on the three-dimensional model; defining an inspection area and an overhaul area, judging the area to which the inspection point belongs, and if the inspection point is located in the inspection area, clearly marking the inspection point as the inspection point; if the inspection point is located in the maintenance area, marking the inspection point as a flying forbidding point; designing and executing an improved # imgabs0 # algorithm to plan an obstacle avoidance path, and optimizing the path to obtain a preliminary inspection path; calculating the total power consumption of the single-circle path, and comparing the calculated power consumption with a preset safety threshold; if the power consumption is within a preset safety threshold range, the path is included into a final inspection route; and if the preset safety threshold value is exceeded, executing a circle dividing strategy. The problems that traditional path planning is low in efficiency, the path is not smooth enough, and power consumption is not fully considered are solved.

The present invention provides a bottom-up intelligent identification method for land space based on grid, including: step 1, obtaining study area data and reclassifying point of interest data; step 2, identifying the initial land use type based on remote sensing image features; step 3, using the kernel density estimation algorithm to perform spatial estimation on the reclassified point of interest data to obtain the subdivided land use type; step 4, constructing a main function grid based on the subdivided land use type and determining the optimal scale of the grid, identifying the main function of the grid, and obtaining an estimated main function grid; step 5, using an unsupervised classification algorithm to obtain the initial land space pattern; step 6, performing spatial overlay analysis on the estimated main function grid and the initial land space pattern to obtain the final land space pattern. This application effectively solves the current problem of difficulty in unifying land space identification, monitoring and management, and lays the foundation for digital governance of land space.

The invention relates to the technical field of medical image processing and computer-aided diagnosis, in particular to a liver and skeleton three-dimensional reconstruction method of a plain-scan CT image based on a semantic segmentation model. The method comprises the following steps: 1) establishing a plain-scan CT database; 2) collecting plain-scan CT image data of a human body; 3) importing the CT image data into a three-dimensional reconstruction system; 4) performing image preprocessing on the CT plain-scan data according to a region of interest (ROI); 5) automatically labeling bones and livers in a plain-scan CT image by a semantic segmentation model embedded in a three-dimensional reconstruction system; (6) the system calibrates and fuses the marked CT images, and performs multi-view processing in the axial direction, the coronal direction and the sagittal direction; 7) generating a simulation three-dimensional model of the human body; according to the method, accurate three-dimensional modeling is carried out on the liver and the skeleton, so that a doctor can more intuitively know the relative position relation of a human anatomical structure, the safety and the treatment effect of an operation can be improved, and communication between the doctor and a patient is facilitated.

A steel sheet shape prediction method according to the present invention is a steel sheet shape prediction method in a cooling facility for a steel sheet, the cooling facility including a water cooling device that cools a steel sheet by ejecting cooling water to a heated steel sheet, and a restraint device that restrains the steel sheet being cooled with at least a pair of restraint rolls, the method including: predicting shape information of a steel sheet after passing through the cooling facility by using a shape prediction model generated by machine learning using at least one operation parameter selected from each of an operation parameter of the water cooling device and an operation parameter of the restraint device as input data and shape information of the steel sheet after passing through the cooling facility as output data.

The invention relates to the technical field of firmware simulation, in particular to an internet of things firmware debugging method, system and device based on simulation, and aims to improve the working efficiency. The firmware debugging system comprises a firmware preprocessing and loading module used for receiving architecture information and an original file of target Internet of Things equipment, preprocessing the original file to obtain firmware to be debugged, and loading the architecture information and the firmware to a preset memory area; the simulation core module is used for simulating a hardware environment of firmware according to the architecture information and running the firmware; the data acquisition module is used for acquiring running information of firmware and sending the running information to the man-machine interaction module; the man-machine interaction module is used for acquiring architecture information according to user input, importing an original file, displaying running information of firmware in real time, receiving a debugging instruction of a user and sending the debugging instruction to the debugging control module; and the debugging control module is used for controlling the running of firmware according to the debugging instruction. The workload is reduced, and the working efficiency is improved.

The anti-collision structure of the stacking door relates to the technical field of stacking door collision prevention and comprises a door frame and a door curtain, sliding grooves are formed in the two sides of the door frame, first supporting plates are connected to the two sliding grooves in a sliding mode, a first motor is installed on the side, away from the door curtain, of each first supporting plate, and a second motor is installed on the side, away from the door curtain, of each first supporting plate. The output end of the first motor is connected with a first lead screw, the first lead screw is rotationally connected with the first supporting plate, the first lead screw is in threaded connection with a first sliding block, the side, away from the door curtain, of the first sliding block is connected with a damping spring, and the end, away from the first sliding block, of the damping spring is fixedly connected with a baffle. By installing the baffle with the adjustable position, a protection layer can be formed at the front end and the two sides of the stacking door, the collision face is reduced, and therefore the collision risk is effectively reduced, the baffle plays a buffering role when collided through the arranged damping spring, the impact force is reduced, and the damage risk is reduced.

The invention discloses a paraffin section preparation method of Amomum villosum rhizome, comprising the following steps: (1) collecting materials; (2) fixing; (3) dehydrating and transparentizing; (4) performing wax dipping and embedding on the dehydrated materials in the following steps in sequence: (5) slicing the obtained wax block to obtain a wax strip; (6) transferring the cut wax strip to water, unfolding it on the water surface, and then placing it on a clean glass slide, marking it or attaching a label to it and placing it on a slicing rack to obtain the unfolded material; (7) staining; (8) sealing the slide with neutral gum to obtain the paraffin section of Amomum villosum rhizome. The method provided by the invention ensures the slicing effect, and can cut out sections with complete and clear tissue structure and clear and distinct staining, so as to facilitate the observation of the microstructure of Amomum villosum rhizome, and can provide reliable technical support for the anatomical research of Amomum villosum rhizome and the revelation of the relationship and mechanism between functional traits.

The present invention relates to the field of data analysis technology, and in particular, to a Taihu Lake cyanobacteria bloom early warning system based on multi-factor analysis and time lag strategy. It includes a data collection and monitoring unit for monitoring and collecting data from various lake areas of Taihu Lake; a data analysis unit determines the key driving factors and time lag response mechanism and lag duration of the cyanobacteria bloom outbreak, and constructs a cyanobacteria bloom outbreak prediction model for different lake areas of Taihu Lake based on the key driving factors and time lag response mechanism of the cyanobacteria bloom outbreak; a risk assessment and early warning unit uses the cyanobacteria bloom characterization parameter results predicted by the cyanobacteria bloom outbreak prediction model to obtain the future cyanobacteria bloom risk. The system can identify the key factors that directly affect the growth of cyanobacteria, and reveal the mechanism of action of those indirect influencing factors. At the same time, it can evaluate the immediate impact of potential variables on the occurrence of cyanobacteria blooms, capture their cumulative effects at different time points, and provide more accurate information for the early warning system.

The invention provides a meta universe-based game information interaction control system, which comprises a man-machine interaction module, an intelligent terminal, a back-end management module, a decentralized trust mechanism-based distributed database, a data analysis module and a monitoring module, the man-machine interaction module, the intelligent terminal, the back-end management module, the distributed database, the data analysis module and the monitoring module are connected with one another; according to the system and the method, information intercommunication among players can be realized while the game information data is effectively managed, the experience feeling of the game and the safety of the game information are improved, system faults and user behaviors can be monitored, game strategies can be optimized in real time, users can be better served, and the market competitiveness of the game is improved.

An information processing apparatus (100) includes a control unit (130). A control unit (130) estimates a person region including a user (U) in distance information generated by a distance measuring device provided in a device (200) used by the user (U), the person region being estimated based on a user posture estimated using a sensor (220) provided in the device(200). The control unit (130) updates environment information around the user (U) based on the person region and the distance information.

The invention discloses a digital nucleic acid detection platform based on SERS (Surface Enhanced Raman Scattering) as well as a preparation method and application thereof, and relates to the technical field of nucleic acid detection. Comprising a micro-fluidic chip, an SERS probe, Cas12a, crRNA and a Raman signal detector, the SERS probe is formed by Au (at) DNA (Deoxyribose Nucleic Acid) and MB (at) Biotin DNA through base pairing; a liquid drop generation area, a liquid drop electrode fusion area, a liquid storage tank, a magnetic separation area and a detection tank which are sequentially distributed and communicated with one another are arranged on the micro-fluidic chip; the liquid drop generation area is used for dividing a sample to be detected into a plurality of liquid drops; and a channel for adding the SERS probe, Cas12a and crRNA is arranged at the liquid drop electrode fusion region. The detection limit of the digital nucleic acid detection platform provided by the invention can be as low as 10fM; the sample treatment process is reduced, and the sample detection efficiency is improved; the method can be directly operated at room temperature without complex operation environment, and is convenient to use.

A method for generating a steel sheet material quality prediction model according to the present invention is a method for generating a steel sheet material quality prediction model in steel sheet cooling equipment including a water cooling device that cools a steel sheet by jetting cooling water to a heated steel sheet and a temperature measurement device that measures a surface temperature of the steel sheet in a cooling process, the method including a step of generating a material quality prediction model of the steel sheet after having passed through the cooling equipment with machine learning using a plurality of learning data in which a surface temperature information data set including actual measurement data of a surface temperature at a reference point set in advance on the steel sheet and actual measurement data of a surface temperature at a referring point set based on the reference point is set as input result data and material quality information of the steel sheet after having passed through the cooling equipment in a position corresponding to the reference point on the steel sheet corresponding to the input result data is set as output actual data.

The application provides a crystal level PET time correction method based on an L1 regular term, which changes a PET time correction method based on a response line number mode to establish a system matrix, adopts a coincidence event number mode to establish the system matrix, and realizes crystal level correction from original detector block level correction or sub-crystal level correction. Meanwhile, the application adopts a least square QR decomposition method to speed up according to the sparsity of the system matrix, and adds an L1 regular term in the method to improve the robustness of the method. Through the above mode, the application makes the PET system have better resolution, and further obtains a higher quality reconstructed image, provides more accurate information in medical imaging, and provides better help for clinical diagnosis.

The present application relates to the field of display technology and human-computer interaction, and provides a flat panel display visual comfort prediction method and system based on a multi-modal fusion model, wherein the method comprises the following steps: step one, collecting an original image set, for each original image, using a generative adversarial network model to convert an input random sequence into enhanced materials, and then fusing the enhanced materials and the original image at a preset ratio to obtain a plurality of new images; step two, collecting physiological features and physical features to obtain training samples; step three, training a multi-modal fusion model based on a stacked ensemble framework; and step four, inputting test data to obtain a visual comfort prediction result. The present application aims to solve the problems of a lack of high-quality labeled samples, a lack of coupling relationship in single-modal analysis, and poor scene adaptability in the field of flat panel display visual comfort prediction.

The utility model discloses a target with a light-emitting diode (LED), which belongs to the technical field of targets, and is characterized in that the target comprises a target and a flying axe target, the target is sequentially provided with an outermost area, an outer layer area, an inner layer area and a central area from outside to inside, lED lamps are arranged between the outermost area and the outer layer area, between the outer layer area and the inner layer area and between the inner layer area and the central area, a gravity sensor is arranged in the target and electrically connected with the LED lamps, a plurality of insertion rods are arrayed on the target at equal intervals, and the insertion rods are electrically connected with the LED lamps. A protruding block is arranged at the end of the inserting rod, the flying axe mark comprises a handle, an inserting plate is arranged on the handle, fixing areas are arranged on the two sides of the inserting plate, and the fixing areas are matched with the inserting rod. The scheme is high in fixing strength and long in service life.

A knowledge graph generation method and apparatus and a computer readable medium. The method comprises: obtaining (S201) a picture of a target system; performing (S202) target recognition on the picture to obtain the class of objects in the target system and the position information of the objects in the picture; determining (S203) a relative positional relationship among the objects in the target system according to the position information of the objects in the picture; and generating (S204) a knowledge graph of the target system according to the relative positional relationship and the recognized class of the objects. Accurate information on the objects in the target system and the relative relationship can be obtained quickly to automatically generate a knowledge graph.

The utility model relates to the technical field of hydraulic engineering, and discloses an artificial lake wetland anti-seepage structure which comprises a lake bottom, an HDPE (high-density polyethylene) film is arranged on the upper surface of the lake bottom, an induction layer is arranged on the upper surface of the HDPE film, a modified bentonite waterproof blanket is arranged on the upper surface of the induction layer, geotechnical cloth is arranged on the upper surface of the modified bentonite waterproof blanket, and an anti-seepage layer is arranged on the upper surface of the geotechnical cloth. The upper surface of the geotechnical cloth is provided with improved soil, the upper surface of the improved soil is provided with landscape stones, the upper surface of the improved soil is provided with vegetation, the upper surface of the lakebed is provided with a supporting assembly, the supporting assembly comprises a lakeside, and the lower surface of the lakeside is arranged on the upper surface of the lakebed; and a supporting seat is fixedly connected to the interior of the lakeside. According to the utility model, the HDPE film, the induction layer, the modified bentonite waterproof blanket, the geotechnical cloth, the improved soil, the landscape stone and the vegetation are matched with one another, so that the effects of effectively blocking seawater permeation, maintaining a proper water quality index and forming a stable ecological system are achieved.

This application discloses an information reporting method and apparatus, a first device, and a second device, and pertains to the field of communication technologies. The method includes: reporting first information to a second device; where the first information includes predicted first channel state information or second information determined based on the predicted first channel state information, and the first channel state information includes channel state information of a first time period after a reference time point.

A conveying system (200) and a physical position-limiting device (100). The device (100) comprises: a first moving component (11); a guide rod (12) moving in the axial direction thereof, at least one stage of position-limiting groove (121) being formed in the outer surface of the guide rod (12), each stage of position-limiting groove (121) comprising first, second, and third sections of groove rail (121a, 121b, 121c) that are sequentially communicated, and the second section of groove rail (121b) being separately arranged at an angle with the first section of groove rail (121a) and with the third section of groove rail (121c); a safety rod (131), which has a first end inserted into the first section of groove rail (121a) and is configured to move relative to the guide rod (12) along the position-limiting groove (121); and a second moving component (14), connected to a second end of the safety rod (131) and configured to drive the safety rod (131) to rotate around the axial direction of the guide rod (12) by means of rotation, such that the first end of the safety rod (131) moves along the second section of groove rail (121b). According to the device (100), an operator can be reminded of a position-limiting critical point by means of touch, accurate information in physical positioning can be effectively fed back, and simple, efficient and accurate physical position-limiting is realized.

A data processing method according to the present invention comprises the steps of: acquiring pieces of scan data from different models; aligning the acquired pieces of scan data; and selectively combining a portion of one of the aligned pieces of scan data with another of the aligned pieces of scan data.

The present invention provides a land vehicle-mounted UAV safe take-off and landing control method and system, which relates to the technical field of UAV safe take-off and landing. The method comprises: establishing a finite element analysis model according to the design parameters and expected load of the UAV airport; detecting the current terrain data and the attitude data of the airport in real time through sensors; performing real-time simulation analysis according to the current terrain data, the attitude data of the airport and the finite element analysis model to obtain analysis results; evaluating the influence of the current terrain on the structure of the UAV airport according to the analysis results, and automatically adjusting the UAV airport through the automatic leveling function if the terrain change is within the tolerance range of the airport structure, so that the airport platform reaches a horizontal state. The present invention ensures the safe take-off and landing of the UAV in various terrains through the automatic and manual leveling of the vehicle-mounted UAV airport and the manual slide rail function, and improves the operational flexibility and the safety of the UAV take-off and landing.