22results about How to "Clear positioning" patented technology

The invention provides a livestock body size measurement method and system, computer equipment and a storage medium, and belongs to the field of computer three-dimensional visual point clouds, and the method comprises the steps: segmenting automatically collected point cloud data of livestock into a plurality of parts through a three-dimensional point cloud segmentation technology; the segmented point cloud is combined with the physiological features of the livestock to accurately position the key points of body size measurement. In order to improve the key point positioning precision, the invention provides a novel key point detection method which comprises the steps of coordinate normalization, key point cluster acquisition, key point optimization and edge detection. By means of the method, key point deviation and measurement errors possibly occurring in the body size measurement process are effectively reduced. According to the method, non-contact, rapid and accurate livestock body size parameter measurement is achieved, and the method has important application prospects in the fields of gene improvement, health screening, animal welfare evaluation and the like. Experimental results show that the method has high accuracy and robustness, and can significantly improve the efficiency and precision of body size measurement.

The invention discloses a flexible and automatic milling system for complex and precise metal parts of a spacecraft. The flexible and automatic milling system is composed of a numerical control machining center, a feeding and discharging subsystem, a function changing module, a cache subsystem, a master control subsystem and a management and control subsystem. The management and control subsystem receives a production plan and then performs intelligent production scheduling, the management and control subsystem sends a numerical control machining program to the numerical control machining center and starts machining, the numerical control machining center calls the master control subsystem for discharging, and the master control subsystem drives the feeding and discharging subsystem to automatically transmit function changing modules bound with parts to be machined to the numerical control machining center. And after machining is completed, the numerical control machining center calls the master control subsystem to take materials, and the master control subsystem drives the feeding and discharging subsystem to convey the function exchange modules to the cache subsystem and feeds back the completion state to the management and control subsystem. The system has an intelligent production scheduling function, and the utilization rate of equipment is greatly improved; and meanwhile, the capability of simultaneous mixed line machining of various different parts is achieved, and the requirement for multi-variety and small-batch flexible production of spacecrafts is greatly met.

The invention discloses an electricity-carbon cooperative intelligent pushing method based on user portraits, and belongs to the field of electricity-carbon cooperative intelligent pushing, and the method comprises the following steps: S1, collecting and classifying annual historical load data and time-of-use electricity price data sets of users; s2, extracting a seasonal typical daily load curve and a typical time-of-use electricity price curve; s3, calculating daily electricity price demand elasticity of workdays and weekends; s4, constructing a user portrait; s5, elastically grading the electricity price demands of the users; and S6, respectively pushing a differentiated power purchase strategy and a carbon emission reduction supervision strategy to the price-sensitive user and the price-insensitive user. According to the electricity and carbon cooperative intelligent pushing method based on the user portraits, the user portraits are accurately depicted based on the user electricity price demand elastic coefficients, so that the platform can customize differentiated strategies for different types of users, the operation capability of the supervision platform is improved, and the method has good application value.

The utility model discloses an automobile clutch separation stroke measuring device and an automobile clutch. The automobile clutch separation stroke measuring device comprises a measuring piece; the sliding piece is connected to the measuring piece in a sliding manner; one end of the fastening piece is connected to the sliding piece, and the other end of the fastening piece abuts against the surface of the measuring piece; and the adsorption piece is mounted at one end, far away from the measuring piece, of the sliding piece, and the adsorption piece is used for fixing the sliding piece on the release bearing. In the process of measuring the separation stroke of the clutch, the whole measuring device is fixed on a connecting lug of a separation bearing through the adsorption piece, then the separation stroke of the clutch can be measured through sliding operation of the sliding piece on the measuring piece, and in the sliding process of the sliding piece, due to the fact that the fastening piece is installed, sliding operation of the sliding piece is more reliable. And the stability of measurement operation is ensured.

The invention discloses an electromagnetic wave-transparent connecting module for splicing metal plates and a construction method. The module is made of an insulating material, is provided with a mechanical interface for connecting adjacent metal plates, and is internally provided with an electromagnetic regulation and control structure, so that electromagnetic waves of a preset frequency band can be allowed to pass while the electrical continuity between the plates is blocked. Structural connection, physical sealing and electromagnetic wave regulation and control functions are integrated, the electromagnetic shielding problem of a metal building enclosure system is fundamentally solved, structure-function integration is achieved, construction is easy and convenient, and a large-area seamless electromagnetic wave-transparent building facade or roof can be constructed.

The utility model relates to the technical field of composite bags, in particular to a composite bag with guiding easy-to-tear performance, which comprises a composite bag body, a bag body to be torn, a matt printing layer, a blocking layer, a reinforcing layer and a heat sealing layer, the sealing unit is connected with the composite bag body, is used for sealing the composite bag body and comprises a first-stage sealing assembly for sealing an object in the composite bag body and a second-stage sealing assembly which is arranged at one end far away from the first-stage sealing assembly and is used for sealing a tearing area; the tearing unit is connected with the sealing unit, is used for providing a tearing point position, and comprises a positioning assembly which is arranged between the primary sealing assembly and the secondary sealing assembly and is used for forming a tearing track; according to the utility model, the tearing position of the composite bag is accurately positioned, the tearing strength is low, and the use is convenient.

The application discloses a power distribution network defect detection method and device, medium and equipment, and belongs to the defect detection field. The application outputs the spatial position of the defect area in real time through a lightweight detection model of an image acquisition end to guide fine collection, inputs high-definition image data into a ground processing end diagnosis model after cutting, outputs a defect category, a severity level and a pixel-level segmentation result, and generates a structured diagnosis report. Since the lightweight detection model optimized by channel pruning or knowledge distillation and the diagnosis model of the deep neural network architecture form end-cloud cooperation, the advantages of real-time detection and accurate diagnosis are complementary, and the application effectively solves the problem that the prior art cannot accurately and efficiently detect defects of the power distribution network.

The present application relates to a method and system for deploying unmanned aerial vehicles (UAVs) for monitoring the water ecological environment of a river basin. After conducting a hydrological analysis on a target area, the target river basin is divided into a plurality of sub-basin units, and a water ecological environment evaluation index system is constructed for each sub-basin unit, thereby obtaining a comprehensive water ecological environment index. Based on the variation range of the comprehensive water ecological environment index, each sub-basin unit is divided into monitoring areas of different levels. Monitoring areas of different levels correspond to different monitoring demand points, thereby obtaining a multi-level demand point set with clear hierarchy, clear positioning, and the ability to clearly identify the objects to be monitored. Finally, the UAV performance data is used as a constraint condition, and the field stations in the monitoring area are combined as candidate UAV airport facilities and a multi-level demand point set. Based on the location set coverage model (LSCP), a UAV deployment plan is obtained, thereby constructing a multi-level UAV remote sensing network, which can achieve the establishment of the minimum number of UAV airport facilities to meet all monitoring needs.

The invention discloses a medicago sativa MsCML69 gene for regulating and controlling salt tolerance and application of the medicago sativa MsCML69 gene. The nucleotide sequence of the MsCML69 gene is as shown in SEQ ID NO. 1; 1, and the corresponding amino acid sequence is as shown in SEQ ID NO. 2. The cDNA sequence of the calmodulin-like gene MsCML69 is cloned from medicago sativa, the obtained MsCML69 gene is connected with a plant expression vector to construct a recombinant expression vector, the constructed recombinant expression vector is used for transforming plant leaves, and finally transgenic plants are cultivated. Results show that overexpression of the gene can significantly improve the salt tolerance of the plant. The discovery of the MsCML69 gene provides a gene resource for cultivation of new stress-resistant germplasm of medicago sativa, the application range of the MsCML69 gene is widened, and the application of the MsCML69 gene has important production practice significance.

The invention discloses a ceramic green surface bubble identification method based on machine vision, particularly relates to the field of image processing and surface defect detection, and is used for solving the problem of false detection caused by artifacts generated by bubble brightness overturning and mirror surface reflection of a green glaze surface under different illumination. A first illumination image and a second illumination image are collected, an alignment image group is established, local illumination normalization and peripheral texture compensation are executed to form a highlight texture removal image group, a symmetric residual image and an abnormal response are calculated to obtain a candidate region set, and the candidate region set establishes corresponding association in the alignment image group to obtain a highlight texture removal image group. Extracting a main reflection direction and calculating a slip normalization quantity of the main reflection direction and a slip normalization quantity of a vertical reflection direction, outputting bubble credibility through logistic regression, dividing a bubble region and a reflection artifact region, generating a bubble mask to update a reference texture, updating a highlight compensation model through the reflection artifact region, and performing consistency verification on a compensation result. And outputting a bubble recognition result.

The invention belongs to the technical field of medicinal chemistry and nuclear medicine, and particularly relates to a PET probe based on radioactive metal labeling and a preparation method and application of the PET probe. Comprising a compound with a result shown in a formula (I). The radioactive probe disclosed by the invention has an obvious target to non-target ratio, can be used as a candidate probe for targeting CDK4 / 6, realizes precise positioning of tumors, and provides visual guidance for subsequent targeted therapy; due to the high specificity of the CDK4 / 6 gene, the CDK4 / 6 gene is expected to be developed into an accompanying diagnosis medicine, a clinical medication scheme is guided by quantitatively analyzing the CDK4 / 6 expression level in tumor tissue, and personalized treatment is achieved; and meanwhile, a new drug screening means and an analysis approach are provided for revealing the drug resistance mechanism of piperisib, ribociclib or abelsib and the like in breast cancer treatment.

This invention discloses a quinoa SSR molecular marker primer set and its application in DNA fingerprinting, belonging to the field of molecular biology. This invention developed a quinoa SSR molecular marker primer set consisting of 25 pairs of SSR primers, the nucleotide sequences of which are shown in SEQ ID NO. 1-50. This invention also used this primer set to perform genetic diversity analysis and population genetic structure assessment on 170 quinoa germplasm resources, further screening out 18 core primer pairs, and using these core primers to construct a quinoa DNA fingerprint. The results show that the quinoa DNA fingerprint can effectively characterize quinoa varieties, simultaneously identify multiple quinoa varieties, and the identification method is convenient, rapid, accurate, and stable. This invention provides reliable theoretical and technical support for the precise identification and innovation of quinoa germplasm resources, the breeding of new quinoa varieties, and the protection of variety rights.

The utility model discloses a pipe clamp tool for processing thin wall steel pipe, including clamp subassembly, operating assembly and spot welding avoidance structure, and clamp subassembly contains two symmetrical pipe clamp body, and two pipe clamp bodies respectively include two clamping parts that are connected to the outer wall of steel pipe, and two connecting arms are connected in the one end of two clamping parts, operating assembly is connected with the connecting arm of two pipe clamp bodies respectively, is used for providing holding position for operating pipe clamp tool, and spot welding avoidance structure includes hollow spot welding area that is set up on the clamping part of two pipe clamp bodies along the welding circumference direction of steel pipe, and is formed pipe clamp cavity through two pipe clamp body and is combined, and the outer wall of steel pipe is adhered to the embracing structure, can one end of two steel pipes is held stably and is aligned and is resisted, guarantees that the relative position accuracy is higher when welding, carries out spot welding operation through hollow spot welding area, has reduced the auxiliary operation time, has shortened the welding period, thereby has improved production efficiency, has helped guaranteeing the welding quality.

The utility model relates to the technical field of closestools, in particular to an intelligent closestool which comprises a seat ring, a closestool body, an inner closestool, a blow-off pipe, a ventilation pipe, a cleaning spray head and a warm air opening, the closestool body is fixedly arranged at the top of the seat ring, the inner closestool is fixedly arranged in the closestool body, the blow-off pipe is arranged at the bottom of the inner closestool, and the blow-off pipe penetrates through the inner closestool and the side wall of the closestool body to be communicated with a main blow-off pipe. A ventilation pipe is further arranged on the side wall of the inner barrel, penetrates through the inner barrel and the side wall of the barrel body and is communicated with the outside, three cleaning nozzles are arranged on each of the two side walls of the top of the inner barrel, the cleaning nozzles are symmetrically and obliquely arranged upwards, and a warm air opening is formed in the front end of the inner barrel; according to the intelligent closestool, the closestool body is thin and narrow, the buttocks are clearly positioned and tightly attached, the two sides of the side wall of the inner closestool are each provided with three flushing openings which are symmetrically arranged, the water flow direction is obliquely upward, six-point flushing is formed, it is guaranteed that the periphery of the anus is completely flushed, thorough flushing can be guaranteed through flushing, and paper waste is avoided.

This invention provides a prefabricated continuous free-form glulam ceiling system and its construction method. The system includes a main structural steel beam, steel column flanges, free-form glulam main panels, dovetail joints, and concealed F-shaped metal connectors. The glulam main panels undergo rough back processing, node processing, front rough processing, and front precision processing in the factory using industrial robots, achieving integrated high-precision manufacturing of the free-form shape and assembly nodes. Adjacent glulam components are connected by customized dovetail joints. The glulam main panels are prefabricated and connected to the main structural steel beams via concealed F-shaped metal connectors, and are not exposed after installation. The ceiling modules are assembled and glued in the factory, and then installed on-site by hoisting as a whole and bolting to the steel column flanges, thus achieving a prefabricated construction mode with a high prefabrication rate and low on-site dependence.

The invention relates to an ultrasonic spraying process parameter rapid calibration method and system based on dye tracing and image analysis. The method comprises the following steps that selected dye is added into a spraying solution to serve as a tracer agent; ultrasonic spraying equipment is used for spraying on the base material according to preset parameters to form a colored coating; sampling in an effective film forming area of the coating by adopting a standard nine-point method; collecting a color image of each sampling point, and extracting and calculating a color characteristic value corresponding to the color of the tracer agent; based on the average value and the standard deviation of the characteristic values of all the sampling points, the relative thickness and the uniformity of the coating are quantitatively evaluated respectively; and through multiple groups of parameter experiments, a quantitative relation model of the process parameters, the average value and the standard deviation is established, so that an optimal process parameter window is determined. According to the method, dye tracing is adopted, and a low-cost image acquisition and processing means is combined, so that rapid, visual and quantitative calibration of ultrasonic spraying process parameters is realized, and the method is particularly suitable for rapid iterative optimization in process research, development and debugging stages.

This invention discloses a method for snapshotting and rolling back neural symbolic transactions for long-range agent collaboration, comprising the following steps: acquiring the states of multiple agents and establishing a unified temporal view; enabling an isolated shadow transaction runtime environment on the unified view; performing differential recording on key changes during shadow runtime to form a snapshot chain; determining the rationality of state changes through neural symbolic consistency verification; if the verification passes, submitting the result and establishing a traceable collaborative state; if the verification fails, predicting the minimum rollback range and performing cascading rollback recovery. This invention employs neural symbolic transaction execution and causal dependency rollback methods to achieve traceable submission and minimal rollback in long-range agent collaboration, possessing advantages such as strong consistency, accurate recovery, and high system stability.

The invention discloses a remote enterprise management system based on cloud storage, which belongs to the field of enterprise management and comprises an employee file module, an employee management module, a reward and punishment module, a post management module, an administrator remote management module, an employee self-service query module and a cloud. The employee archive module, the employee management module, the reward and punishment module, the post management module, the administrator remote management module, the employee self-service query module and the cloud are in communication connection in sequence; according to the remote enterprise management system based on cloud storage, staff archives are subjected to recording, staff attendance checking, performance assessment and reward and punishment management, so that an administrator can quickly obtain staff information, can timely feed back according to the information and can also manage an enterprise online, the enterprise management efficiency is higher, and the enterprise management efficiency is improved. And online remote enterprise management is realized.

The embodiment of the invention discloses an enterprise risk intelligent early warning method and system based on dynamic data fusion and map reasoning. A specific embodiment of the method comprises the steps of performing dynamic credible fusion on enterprise multi-dimensional data acquired from a plurality of heterogeneous data sources to generate an enterprise unified fact portrait; extracting a multi-dimensional risk index based on the unified fact portrait, and constructing an enterprise dynamic risk knowledge graph taking an enterprise entity, the risk index, an associated party and a risk event as nodes; reasoning and simulating on the map by using a risk reasoning model based on a graph neural network, identifying risk nodes, evaluating a conduction path and outputting a comprehensive risk score and a traceability path; and triggering early warning according to the score in combination with a self-adaptive threshold value, and generating an interpretable report containing risk causes, conduction visualization and mitigation strategies based on attribution analysis. According to the embodiment, accurate, deep and interpretable intelligent early warning of enterprise risks can be realized.

The straw bouncing structure comprises a cover body and a turning cover rotationally connected with the cover body, and further comprises a straw assembly, the straw assembly comprises a straw and a control assembly used for controlling the straw to bounce, a through hole is formed in the cover body, the straw is movably arranged in the through hole, and the control assembly is used for controlling the straw to bounce. The straw is matched with the control assembly, when the straw needs to be opened, the control assembly needs to be pressed to release and pop out the straw, and when the straw needs to be closed, the flip cover needs to be closed to cover and retract the straw. According to the vacuum cup, the opening and closing structure of the straw of the vacuum cup with the double drinking openings is simplified, the opening and closing process of the straw is simplified, namely, the straw is opened by pressing and closed by turning the cover, popping and withdrawing of the straw can be achieved without complex operation, and meanwhile the structure of the cup cover is simplified.

The invention belongs to the technical field of university ranking algorithms, and particularly relates to a world university ranking calculation method. Comprising the following steps: S1, collecting university data information; s2, constructing a university talent inflow model, wherein the talent inflow quantity is in positive correlation with the initial ranking data; s3, calculating the ratio of the initial ranking data of each university in different stages to the total number of universities participating in ranking in different stages, wherein the ratio is normalized ranking data; and S4, calculating the real ranking of each university: setting weights for the normalized ranking of each university in different stages, setting weights for the employment ability of the university employment graduates and the ability of attracting international students, calculating the sum of different indexes endowed with the weights as a standardized score, and obtaining the real ranking of each university according to the standardized score. The standardized score is in negative correlation with the real ranking. The method pays attention to overall evaluation of academic attraction of colleges and universities, and has more important reference significance for school selection of students.

This utility model discloses a gate unit control board and a gate sensor group detection device, including a housing. The housing has an interface unit, a display unit, and an operation unit. A control unit is installed inside the housing. The interface unit, display unit, and operation unit are all electrically connected to the control unit. The interface unit is used to connect the sensor group and the GCU. The display unit is used to display the layout and fault markings of the sensor group. The operation unit is used to switch the test mode of the detection device and call the command menu. The control unit is used to collect signals from the sensor group and the GCU and determine the working status. This device connects to the sensor group and the GCU respectively through the interface unit. The signals fed back by the sensor group and the GCU are transmitted to the control unit through the interface unit. The control unit determines the working status of the sensor group and the GCU and feeds it back to the display unit. The display unit accurately locates whether the fault is a sensor or a GCU, saving time and effort.