238 results about "Real-time scan" patented technology

The invention discloses an on-line automatic measurement and compensation method for digital manufacturing, which comprises the following steps of: scanning the surface of a workpiece to be processed in real time through a high-precision laser scanner to obtain a three-dimensional geometric model of the workpiece; environmental parameters in the laser machining process are monitored in real time through multiple sensors; on the basis of the collected real-time geometrical morphology and environmental parameters, the processing deviation of the workpiece is calculated in real time through a data processing and analyzing module, and a compensation model is generated; according to the calculation result of the compensation model, the central control system adjusts a laser processing path and processing parameters in real time; after each time of processing, a feedback signal of each time of error is used as a basis for updating the compensation model so as to ensure that the compensation model is continuously optimized. The method has the following advantages and effects: dynamic correction and long-term optimization of machining errors can be realized by combining real-time data acquisition and an optimization compensation model technology of a deep learning algorithm, so that the machining precision and efficiency are improved.

The invention relates to the technical field of computer vision, and discloses a thyroid ultrasonic robot automatic scanning method, device and equipment based on RGB images and depth information and a medium, and the method comprises the steps: obtaining image information and depth information, coding the depth information, fusing and recognizing a target scanning area, determining an initial scanning point and an initial scanning direction, controlling the scanning probe to scan and collect a real-time scanning image, analyzing the real-time scanning image to recognize a preset target and an artifact area, adjusting a scanning posture and a scanning path based on a recognition result, monitoring a continuous existence state of the preset target, and stopping scanning when the preset target is not recognized continuously. The target area is identified by fusing the multi-modal image information, the scanning posture and path are dynamically adjusted in combination with real-time image analysis, scanning termination is intelligently controlled according to the target detection result, the positioning accuracy, image quality and standardization level of ultrasonic scanning are improved, and the method is suitable for automatic ultrasonic imaging of thyroid and superficial organs.

The invention discloses an unmanned aerial vehicle intelligent obstacle avoidance system based on a laser radar, and belongs to the technical field of path planning, and the system specifically comprises a parameter collection module which is used for collecting original point cloud data of a flight area; carrying out obstacle geometric structure analysis to generate desensitization characteristic parameters including surface curvature and spatial density distribution; the feature analysis module is used for sending the desensitization feature parameters to an edge computing node through a hierarchical encryption transmission link, and performing primary aggregation on the feature parameters of a plurality of unmanned aerial vehicles in the same region to form a region feature template; the cloud server is used for integrating obstacle features of different areas through a security fusion protocol and constructing a global obstacle feature library; the path planning module is used for acquiring update data of the global obstacle feature library through the safe synchronization channel, and generating a three-dimensional obstacle avoidance path by combining the real-time scanning features with a feature library matching result; according to the invention, multi-machine collaborative obstacle avoidance path optimization based on obstacle avoidance information sharing is realized.

The invention discloses a mixing and feeding electric control system with a liquid level sensing function, and relates to the field of control systems. An adaptive parameter configuration module; a multi-stage gradient stirring module; a real-time data twinning processing module; a remote cooperative monitoring module; a fault linkage processing module; and an energy-saving closed-loop control module. According to the system, the material characteristic pre-detection module is combined with the water content-viscosity-medicament dosage three-dimensional mapping table and the viscosity-rotating speed mapping table, so that real-time scanning and parameter quantitative matching of the granularity, the water content and the viscosity of the industrial waste are realized; according to the scheme, the stirring sufficiency of the high-viscosity industrial sludge is improved, the energy consumption of the low-viscosity material is reduced, the dosage of the medicament is automatically matched according to the three-dimensional mapping table, the utilization rate of the curing agent is improved, and the core problems of stirring waste and insufficient stirring are fundamentally solved.

The invention discloses a test data intelligent generation and privacy compliance desensitization method, which belongs to the technical field of electric digital data processing, and comprises the following steps: monitoring the structure change of a preset regulation update source and a target application system, and obtaining compliance dynamic information; analyzing the compliance dynamic information to generate a dynamic compliance rule base; based on the dynamic compliance rule base, generating an initial test data set through a preset intelligent data generator; desensitizing the initial test data set, and outputting a desensitized test data set; scanning the desensitized test data set in real time for compliance verification, and generating a compliance verification report; and dynamically optimizing the generation strategies of the dynamic compliance rule base and the intelligent data generator based on the compliance verification report. Dynamic rule base construction, intelligent separated data generation, closed-loop verification optimization and desensitization audit tracing technologies are adopted, laws and regulations and system changes can be automatically adapted, and the service validity, privacy security and law compliance of test data are synchronously guaranteed.

The invention provides a security analysis method in a software research and development process. The security analysis method can be applied to the technical field of big data and the technical field of artificial intelligence. The method comprises the following steps: embedding a security analysis plug-in in an integrated development environment; scanning codes written by a user in the integrated development environment in real time through safety rule information preset in the safety analysis plug-in and a heuristic algorithm; identifying a target security problem in response to the security analysis plug-in, marking the target security problem by using the security analysis plug-in, and providing repair suggestion information; and responding to the condition that the user modifies the code based on the repair suggestion information, and utilizing the security analysis plug-in to re-scan the modified code to verify the modification effect.

The invention relates to the technical field of unmanned aerial vehicle path planning, in particular to an unmanned aerial vehicle path planning method and system based on laser scanning. The method comprises the following steps: scanning a roadway environment in real time by using a laser scanner to obtain original radial section point cloud data; analyzing a structural stability index and a dangerous rock potential energy threat value based on the original radial section point cloud data to determine a risk attribution area of the current flight path of the unmanned aerial vehicle; judging whether a high-risk detour area exists or not according to the risk attribution area, and if yes, dynamically planning a risk detour path so as to adjust a single pre-scanning voyage and generate an intelligent safety execution route; and instructing the unmanned aerial vehicle to fly to the terminal point along the intelligent safety execution route, and taking the terminal point as the starting point of the next round of path planning until the iterative exploration of the target underground mine space is completed. According to the method, the structural stability and potential energy threat of the surrounding rock are quantified in real time to realize safe path planning for actively avoiding surrounding rock instability.

The invention relates to the technical field of optical processing, and discloses an imaging depth adjustable laser optical processing system, which comprises a laser emission unit, an optical conduction unit, a spectral domain optical coherence tomography imaging unit, a laser galvanometer scanning unit, an indication light imaging unit, an image processing display unit and a control unit, according to the spectral domain optical coherence tomography imaging system, time scanning of high output wavelength is realized by utilizing a wavelength scanning mode that the scanning telescopic rotating module drives the spectral domain optical coherence tomography imaging system, and position information or image information of a sample from the surface to the interior is provided in real time in combination with an image processing technology; the three-dimensional galvanometer scanning unit scans the position of a sample in real time and records the position and orientation information of a scanning point at the same time, real-time image information and different depths, widths and axial positions of the sample are scanned at the same time, the focusing depth and wavelength of an imaging laser beam and the focusing position and energy of the scanning laser beam are fed back and adjusted, and the laser beam is positioned to the sample for machining.

The invention relates to the technical field of exhibition lamps, in particular to an exhibition lamp and an exhibition method, and the method comprises the following steps: inputting preset exhibit database information, extracting exhibit numbers, material types, dominant tone ranges and size information, carrying out point-by-point scanning on exhibit surfaces, collecting reflection spectrum data, converting the reflection spectrum data into CIELAB values, and integrating the extracted information and the collected data. And establishing an exhibit basic information set. The comprehensive exhibit basic information set is established by combining the preset database information and the real-time scanning and acquisition of the surface reflection spectrum or the CIELAB value of the exhibit, so that the subsequent illumination design can be carried out based on the unique optical characteristics of each exhibit, the accuracy and pertinence of personalized illumination are improved, and the material details and color levels can be deeply revealed. Secondly, processing the optical data of the exhibit by using a preset weight set associated with a specific display target, and generating an ideal display illumination parameter including spectral distribution and a brightness value;

The invention discloses an excavation roadway turning construction method and a roadway construction method. According to the method, the turning track is accurately controlled through geological parameter pre-research and surveying and setting-out, and the problems of relaxation and damage caused by track deviation and long surrounding rock exposure time of a traditional turning section are effectively solved in combination with pilot tunnel advanced excavation and dynamic collaborative supporting. Pilot tunnel advanced excavation reserves a space for subsequent expanded excavation, a cutting head of the integrated equipment can horizontally rotate to adapt to curve excavation, and supporting force is dynamically adjusted in cooperation with real-time scanning of surrounding rock deformation data, so that the surrounding rock exposure time in turning section construction is shortened to 5-8 minutes from 40-60 minutes of a traditional process, and the construction efficiency is improved. The wall caving and roof caving risks caused by long-time support-free exposure of the surrounding rock in the turning area are remarkably reduced, meanwhile, it is ensured that the turning radius and the turning angle are matched with the design height through a parameter correction program, and the accuracy and safety of turning section construction are improved.

The invention relates to the technical field of medical decision and artificial intelligence, and discloses an artificial intelligence-driven new adjuvant therapy scheme optimization method and system for antral sinus cancer, and the method comprises the steps: S1, obtaining clinical data of a antral sinus cancer patient, and carrying out the preprocessing; s2, screening core features by adopting an iterative ReliefF algorithm, and constructing composite features; s3, constructing a prediction model based on a Bayesian optimization K-nearest neighbor algorithm, taking the composite features as input of the prediction model to predict treatment response, and outputting individual tumor recession grade probability distribution of the patient; s4, taking the tumor recession grade probability distribution as a core component of a state space, inputting the tumor recession grade probability distribution into a double-layer reinforcement learning framework based on a penalty mechanism to optimize a treatment decision, and outputting a personalized treatment strategy parameter set; and S5, performing real-time scanning and verification on the drug dosage parameters in the strategy parameter set, and outputting a final approved personalized treatment scheme. The precision and intelligent level of gastric antrum cancer treatment is improved.

The invention discloses a low-altitude economic flight data management method based on a block chain technology, and relates to the technical field of low-altitude traffic management, and the method comprises the steps: verifying an encrypted positioning proof, generating a verification state set, decrypting flight coordinates according to the verification state set, and generating a credible coordinate data stream; performing sensitive airspace intrusion detection according to the credible coordinate data stream and the high-security protection node, performing collision risk analysis by the traffic management node to obtain an encrypted aggregated threat vector, and identifying a threat level according to the encrypted aggregated threat vector; and dynamically adjusting the working parameters of the airborne equipment according to the threat level, generating an airborne equipment regulation and control instruction set, scanning the signal-to-noise ratio and the threat intensity in real time, dynamically allocating a communication frequency band, and generating a new positioning strategy parameter. According to the method, the real-time signal-to-noise ratio and the threat intensity scanning result are combined, communication frequency band dynamic allocation and encryption strategy dynamic optimization are driven, the airspace situation awareness capacity is formed, the resource utilization rate is increased, and the anti-interference capacity is enhanced.

The invention provides a method and a system for evaluating the health degree of audio and video conference equipment, which comprehensively utilize a QFD thought and AHP and AI methods to construct an equipment fault model and a fault risk transfer model, solve the field problem of fault influence dependency analysis among an equipment principle, a real-time operation state and a historical operation state in equipment fault detection, and improve the reliability of the equipment fault detection. The evaluation method comprises the following steps: scanning a basic state in real time and detecting an environment in real time; verifying the integrity of the signal link; carrying out equipment performance standard test; the influence of the hardware loss on functionality is evaluated; performing actual use state testing, including limiting condition testing and fault injection testing; and performing health degree modeling and grading, and establishing a multi-dimensional comprehensive evaluation model. According to the method, a traditional regular maintenance mode is exceeded through multi-dimensional dynamic modeling and a predictive intervention mechanism, real-time environment sensing and hardware loss modeling are fused, a fault window can be pre-judged, the equipment operation fault rate is reduced, and preventive maintenance is achieved.

The invention provides a life cycle deletion optimization method for a distributed object storage system, which comprises the following steps of: S1, detecting the business volume of a cluster, starting a pre-scanning operation when the business volume is lower than a preset threshold value, and identifying an object to be deleted according with a life cycle rule; s2, respectively writing the to-be-deleted object information of different dates into corresponding omaps, and storing omap data in a disk according to a preset packaging frequency; s3, when the life cycle expires, directly reading the omap of the corresponding date, skipping a real-time scanning step, and executing batch deletion operation; and S4, recording statistical information such as the deletion quantity scanned every day on the xattr of the barrel, so that management software performs data trend analysis and operation and maintenance decision. According to the embodiment of the invention, the life cycle deletion efficiency can be improved, the metadata operation pressure is reduced, and the cluster storage space utilization rate is optimized.

The invention provides an ultrasonic control method for real-time scanning quality and self-adaptive acquisition and related equipment, and the method comprises the steps: synchronously acquiring an ultrasonic signal and at least one additional sensor signal in an acquisition period of scanning equipment; calculating multi-dimensional quality indexes including a signal quality index, an operation stability index and a contact state index in real time based on the ultrasonic signal and the additional sensor signal, and generating an overall quality score according to the multi-dimensional quality indexes; judging whether the total quality score reaches a preset qualified threshold value or not; if the total quality score is lower than a qualified threshold value, quality loss factors are determined according to the total quality score, control actions used for improving subsequent collection quality are generated and executed based on the quality loss factors, and the control actions comprise one or more of sending prompt information to an operator and automatically adjusting collection parameters of the scanning equipment. According to the invention, multi-dimensional evaluation and autonomous decision making are carried out on the ultrasonic quality by fusing additional sensor multi-mode signals, so that the ultrasonic acquisition quality is improved.

The invention discloses a dynamic planning method and system for a patrol path of an unmanned aerial vehicle in a three-dimensional scene. The method comprises the following steps: S1, acquiring an initial flight path according to a topographic map; s2, flying according to the initial flight path, scanning flight area depth information in real time at each flight path point in the initial flight path, and obtaining a distance measurement value in front of the unmanned aerial vehicle and a depth actual measurement value below the unmanned aerial vehicle; s3, comparing the depth measured value with a depth reference value in the initial flight path, and if an absolute value of a difference value between a plurality of continuous depth measured values and the depth reference value H is greater than a preset first threshold value, determining that the terrain is changed, enabling the unmanned aerial vehicle to enter a slow-down mode, and reducing the flight speed; s4, according to the distance measurement value in front of the unmanned aerial vehicle and the depth actual measurement value below the unmanned aerial vehicle, whether a collision risk exists or not is judged, and automatic obstacle avoidance and dynamic route planning are carried out; and if there is a collision risk, an image in front of the unmanned aerial vehicle is collected, and image processing is utilized to make an obstacle avoidance decision. According to the invention, automatic obstacle avoidance and inspection are realized.

The invention relates to an artificial intelligence technology, can be applied to the technical field of finance, and discloses an artificial intelligence-based abnormal data identification method, device, equipment and medium, and the method comprises the steps: collecting investment data in real time, and inputting the investment data into an investment data semantic large model; performing anomaly identification on the investment data based on the investment data semantic large model to generate an abnormal data identification result; obtaining abnormal investment data in the abnormal data identification result, analyzing an abnormal condition of the abnormal investment data based on a graph neural network algorithm, and generating an abnormal reason and abnormal positioning information; and obtaining a repair suggestion based on the exception reason, and pushing the exception reason, the exception positioning information and the repair suggestion to a visual interface. According to the invention, investment data is scanned in real time through the AI algorithm, abnormal values are rapidly identified, and human errors are reduced; abnormal reasons can be automatically positioned, repair suggestions can be provided, real-time monitoring is achieved, and abnormal data recognition efficiency is improved.

The invention relates to the technical field of data security, and discloses a dynamic hierarchical compliance data governance method, system and device and a storage medium, and the method comprises the steps: accessing multi-modal data; the method comprises the following steps: analyzing an input law and regulation text based on a large language model, converting into a structured data governance rule, and storing in a rule base; semantic understanding and correlation analysis are carried out on the multi-modal data, and sensitive level labels are dynamically distributed; in response to a received data access request, analyzing context information and user attributes, dynamically selecting and executing a target desensitization strategy, and generating desensitization data; performing real-time scanning on the multi-modal data based on the multi-modal large model, and identifying and marking sensitive information in the multi-modal data; the sensitive information is fed back and used for dynamically updating the sensitive level label, and the data governance rule and the desensitization strategy are dynamically adjusted according to the feedback information. According to the method, high-standard requirements on agility, accuracy and comprehensiveness of data governance in a complex dynamic environment can be met.

The invention discloses sealing ring trimming equipment and a self-adaptive control system thereof. The sealing ring trimming equipment comprises a combined cutting device, a detection device and the self-adaptive control system. The combined type cutting device integrates a rough cutting assembly and a mechanical fine cutting assembly, and rough cutting and fine trimming of a sealing ring blank can be completed in sequence. The detection device adopts a multispectral confocal sensor, and the self-adaptive control system comprises a rough cutting module which controls a rough cutting assembly to reserve a set flash; the fine cutting control module dynamically generates a tool path correction parameter and a cutting depth compensation value according to the real-time scanning data; the edge feature analysis module extracts key quality indexes such as residual flash contours and surface roughness; and the correction module dynamically adjusts the reserved flash amount and the fine cutting parameters through the fuzzy logic controller. The equipment is further provided with a cutter resistance monitoring module and an abrasion prediction compensation module, closed-loop control from rough cutting to fine cutting is achieved, the edge machining precision and production efficiency of the sealing ring are remarkably improved, and the equipment is suitable for the field of high-precision sealing element manufacturing.

The invention discloses a remote full-automatic multi-machine cooperative intelligent control system based on ship unloaders, and relates to the technical field of port machinery automation and intelligent control, and the system comprises an initial alignment module which is used for matching a hatch position based on three-dimensional model data, analyzing an optimal operation area of each ship unloader through a path planning algorithm in combination with the three-dimensional model data, and setting an optimal operation area of each ship unloader; the ship unloader is adjusted to move to a designated position; the grabbing module is used for combining the three-dimensional model data with the real-time scanning data, generating a next grabbing point location of the grab bucket by using a multi-target genetic algorithm, sending a next optimal grabbing point to the ship unloader through a communication protocol, and grabbing; the optimal operation area of each ship unloader is determined through the three-dimensional model data generated by the 3D laser scanning technology in combination with the path planning algorithm, it is ensured that equipment is accurately positioned to the working position, and the operation precision and safety are improved.

The invention relates to the technical field of semiconductors, in particular to a luminance build-up method, device and equipment for a remote plasma source and a storage medium, and the method comprises the steps: obtaining a real-time pressure value fed back by a vacuum gauge, controlling the remote plasma source to start working when a preset vacuum condition is met, and controlling a butterfly valve to be opened at a preset initial opening degree; real-time scanning parameters fed back by the mass spectrometer are obtained, and the real-time ionization rate is confirmed based on the real-time scanning parameters; adjusting the opening degree of a butterfly valve according to the real-time ionization rate so as to adjust the flow of gas entering a process system until the luminance build-up is successful; according to the luminance build-up method disclosed by the invention, the opening degree of the butterfly valve can be adjusted in real time according to the real-time ionization rate, so that the air inflow entering the air source is adjusted in real time, an ideal environment is created for plasma generation, and accurate control of the air flow is ensured, so that the success rate and efficiency of luminance build-up are improved, the whole process does not need manual intervention, and the cost is reduced. The operation complexity is greatly reduced, and the stability and reliability of the process are improved.

The invention discloses a construction safety management method based on excavator visual angle image fusion, and belongs to the technical field of construction early warning, and the method specifically comprises the steps: obtaining the position and working condition of excavation equipment, and setting a dynamic alarm fence; triggering an equipment vision device to scan a personnel target in real time, identify a personnel bounding box and extract a personnel identity identification code; synchronously calling original coordinates of the corresponding ultra-wideband tag, capturing a posture visual frame, and generating a posture feature vector through skeleton joint point topology analysis; inputting the attitude vector into an attitude-error compensation model, and outputting a positioning offset predicted value to correct an original coordinate; according to the method, real-time compensation is carried out through dynamic accurate matching of the construction dangerous area and personnel positioning errors, misjudgment is avoided to the greatest extent, the safety risk active pre-judgment and alarm accuracy is improved, and the safety risk active pre-judgment and alarm accuracy is improved. And intelligent safety management of a construction site is realized.

The invention provides a real-time roadway tunneling forming quality monitoring system and method, and relates to the technical field of intelligent control, and the method comprises the steps: after tunneling equipment completes tunneling of a section of roadway, a three-dimensional scanner starts to work, determines the position of the three-dimensional scanner according to a positioning target, scans the excavated roadway, and obtains point cloud data; after the point cloud data is uploaded and the scanning of the section of roadway is completed, the explosion-proof computer receives the data transmitted by the scanner, preliminarily processes the data, and then uploads the data to the ground dispatching room computer through the data transmission subsystem; and scanning the excavated roadway is completed, the tunneling equipment starts to work, and tunneling is completed according to the set distance. The working efficiency is greatly improved, and in the tunneling process, real-time scanning, real-time data uploading and real-time roadway forming quality monitoring are completed in real time.

Systems and methods for generating secondary content item that includes a first portion that is a reminder of the original interest and a second portion that is content relevant to the original interest are disclosed. The methods provide primary content for the user's consumption. User interest based on a plurality of factors, such as user's gaze, heartbeat, or facial expression, is determined during the user's consumption of the primary content. One or more objects or frames are identified as primary objects or frames of interest. The methods also scan in real-time, real-life objects that are in the field of view of an augmented reality device. A determination that the real-time object is related to the primary object of interest is made. A determination is also made if any environmental or local adjustments need to be made. A secondary content item with any environmental or local adjustments is generated.

The embodiment of the invention provides a three-dimensional scanning detection method, which is applied to the technical field of three-dimensional scanning, and comprises the following steps: setting at least one reference area on a preset model, and definitely defining a key position which needs to be preferentially concerned by a user and ensures the integrity of scanning data; then, a user is guided to scan based on the set reference area, verification information is generated in real time in the scanning process, and the verification information displays the achievement condition of the accumulation degree of the scanning data in the reference area relative to the saturation threshold value of the scanning data in a visual mode; therefore, a user is directly notified whether the scanning data of each reference area is complete or not, and the user is guided to carry out supplementary scanning on the incomplete area in time. According to the scheme, the verification of the scanning data integrity is advanced from a traditional post detection link to a real-time scanning process, so that a user can actively ensure the scanning integrity of a key area based on visual feedback, and the detection misjudgment and reworking risks caused by missing scanning or incomplete data are fundamentally avoided.

The invention belongs to the technical field of printing color management, and provides a color restoration control method and system for an offset printer, and the method comprises the steps: firstly, detecting easy-control parameters and real-time change parameters of the printer, and transversely dividing a printed electronic file into a plurality of areas with the same number as ink areas of the printer; a printed matter scanning device is used for scanning a printing sample page, the chromatic aberration variable of each ink area between the printing sample page and a customer confirmation sample manuscript is calculated, an AI large model is used for learning to obtain the relation between the ink fountain opening degree variable quantity of each ink area and the corresponding chromatic aberration variable, and subsequent printed matter is scanned and detected in real time. And the AI large model generates ink key adjustment data of each ink area according to the detection result, and transmits the adjustment data to the printing machine for corresponding adjustment. The printing machine can be intelligently controlled according to the detected real-time parameters through intelligent learning of the AI large model, dependence on personal experience of a machine owner is reduced, and quality stability is guaranteed.

The invention relates to the technical field of slope engineering monitoring, and particularly discloses a slope three-dimensional deformation real-time monitoring method based on multi-laser scanning, which comprises the steps of monitoring system arrangement, reference coordinate system establishment, initial scanning and coordinate recording, real-time scanning and deviation correction, data analysis and early warning and the like. The core contribution of the slope three-dimensional deformation monitoring method is that a stable reference coordinate system with self-correction capability is established, and on the basis, the slope three-dimensional deformation monitoring method with high reliability, full coverage and real-time intelligent early warning is realized through multi-sensor fusion and intelligent data processing. The system mainly solves the problems of large systematic error and low reliability caused by unstable reference in the existing slope monitoring technology, and secondarily solves the technical problems of incomplete data caused by single view angle and weak early warning capability caused by low automation degree.

The invention discloses an in-situ power transmission line near-electricity early warning method based on laser point cloud data, which belongs to the field of power detection, and performs down-sampling processing on point cloud data through a voxel grid down-sampling algorithm so as to reduce the number of point clouds, improve the processing efficiency and scan and process the point cloud data of a moving object in real time. And after data are segmented through a DBSCAN algorithm, the nearest distance between the moving object and the power transmission line is calculated by using a Haversine formula and the Pythagorean theorem. The method mainly comprises the following steps: acquiring and processing point cloud data of a power transmission line; acquiring laser radar data; removing noise points; performing down-sampling processing; storing data; real-time point cloud data acquisition: the laser radar scans the moving object below the road in real time to obtain the point cloud data of the moving object. The method is mainly used for near-electricity early warning of the in-situ power transmission line.

The invention relates to the technical field of three-dimensional printing control, and particularly discloses a three-dimensional printing method and system based on real-time scanning, and the method comprises the steps: receiving a to-be-printed model, and carrying out the analysis based on the to-be-printed model, and obtaining a task chain table; reading the execution progress of the task chain table in real time, and determining a reference execution speed according to the execution progress; reading sensing data of each sensor, constructing a data field, and dynamically adjusting the reference execution speed according to the data field; wherein each sensor corresponds to one data field; and synchronously adjusting the reading frequency of the sensing data according to the data field. The environment parameters in the printing process are obtained in real time through the multiple sensors, the multiple environment parameters are coupled, the originally set reference speed is adjusted, the set speed can be finely adjusted according to the actual situation, the unchanged printing speed is converted into the dynamically-adaptive printing speed, and the printing process is optimized.

The invention discloses a robot hand-eye positioning method and device based on a 3D camera and a medium, and the method comprises the steps: carrying out the real-time scanning of a scene where a target object is located through the 3D camera, so as to determine the point cloud data of the target object; predicting the motion state of the target object according to a predetermined prediction model to obtain a prediction track, matching the prediction track with the point cloud data scanned in real time to determine a prediction difference, and adjusting the prediction model according to the prediction difference; if the target object is shielded, determining historical point cloud data of the target object, and adjusting the prediction model according to the historical point cloud data; the target object is predicted again through the adjusted prediction model to obtain a prediction result, a preset hand-eye matrix is determined, the prediction result and the hand-eye matrix are mapped to dynamically generate a path of the target object, and an end effector of the robot is controlled to reach a corresponding prediction position according to the path. And grabbing is realized at the predicted position.