1121 results about "Heat distribution" patented technology

The invention relates to the technical field of spraying process control, and discloses a spraying process self-adaptive adjustment method based on temperature measurement. The method comprises the steps that target coating parameters and base material physical property data are obtained, and initial spraying control parameters are generated through a first intelligent calculation model in combination with historical process data and real-time environment monitoring data; when spraying is executed, heat distribution data of a spraying area are collected in real time through a temperature sensing device, and according to the difference between the heat distribution data and a preset target temperature interval, technological parameters are dynamically corrected through a first self-adaptive regulation and control algorithm; meanwhile, a machine vision system is used for capturing actual coating morphological characteristics, and after the actual coating morphological characteristics are compared with target parameters, excitation parameters are adjusted in a partitioned mode through a second self-adaptive regulation and control algorithm so as to optimize uniformity; and collecting whole-process data, comprehensively evaluating the whole-process data through the second intelligent calculation model to generate a process optimization instruction, and updating the first intelligent calculation model and the first self-adaptive regulation and control algorithm parameters according to the process optimization instruction.

The invention discloses an intelligent welding quality evaluation method and system based on vision, and relates to the technical field of welding quality evaluation.The method comprises the steps that the welding process is monitored in real time through multi-mode imaging equipment, weld joint surface texture, molten pool heat distribution and three-dimensional shape information are synchronously obtained, and a three-dimensional voxel model is constructed; establishing a two-stage multi-channel architecture for executing dynamic resource scheduling, and extracting geometric features and deep semantic features in the three-dimensional voxel model; and on the basis of the defect confidence coefficient vector, in combination with the real-time process parameters and the molten pool state, a dynamic evaluation model of the welding quality index is constructed, and time-phased quality scores are calculated and output through stage weighting. According to the method, the welding seam surface texture, molten pool heat distribution and three-dimensional shape information are synchronously collected through multi-mode imaging equipment, a texture-temperature-space coordinate bound three-dimensional voxel model is constructed, and multi-source heterogeneous data fusion analysis of the welding quality is achieved.

The invention discloses a waste heat recovery scheduling method and system for a two-phase cold plate of a data center, and relates to the technical field of refrigeration and heat management. The waste heat recovery scheduling method and system for the two-phase cold plate of the data center comprises the following steps that S1, key thermal parameters and tail end state variables are collected through multiple types of thermal monitoring devices, and thermal state monitoring data are obtained and preprocessed; s2, on the basis of the thermal state monitoring data and in combination with an SLA configuration file, performing priority division on the heat utilization terminals, and constructing a scheduling deviation judgment mechanism to identify thermal state changes; s3, under driving of the regulation and control instruction, accessing multi-source waste heat and distributing the multi-source waste heat to each terminal scene, and evaluating a matching condition of the waste heat and a terminal demand; and S4, based on the change of the heat distribution state and the thermal state monitoring data, identifying an overload risk in combination with a multi-parameter linkage mechanism. The problems that waste heat recovery is insufficient and the energy utilization rate is limited under the light-load and multi-heat-source cooperative working condition are solved.

The invention discloses a rubber product quality detection method and system, and relates to the related technical field of rubber quality detection.The method comprises the steps that rubber products are conveyed to a target detection table, and data acquisition of the rubber products is executed; inputting the wave impedance distribution data and the surface heat distribution gradient field into a defect causal atlas channel to execute phase inversion fusion processing, establishing a cross-modal coupling phase tensor, and identifying deep defect response characteristics by solving a phase difference matrix; activating a pressure spectrum sensing unit to apply control pressure, reading a local mechanical response spectrum, sending the local mechanical response spectrum to a cross-modal calibration layer, and executing joint error authentication; and performing quality detection report according to a self-calibration defect mapping result. The technical problems that in the prior art, multi-modal sensing data fusion efficiency is low, deep defects are difficult to comprehensively recognize, and consequently the quality detection precision and reliability of rubber products are insufficient are solved, and the technical effects that cross-modal cooperative detection is achieved, and the precision and reliability of defect recognition results are improved are achieved.

The invention discloses a water-cooling energy consumption adaptive regulation and control method suitable for a data center, and the method comprises the following steps: obtaining a multi-dimensional operation parameter set of the data center in real time, and generating a real-time thermal load density distribution diagram reflecting the heat distribution condition in a machine room; calculating the overall thermal deviation degree and the local hot spot intensity, and solving through a dynamic energy efficiency optimization function to obtain a target system supply and return water temperature difference and a target cooling liquid flow; inputting into a hydraulic and thermodynamic simulation model, and generating an optimal multi-device coordinated regulation instruction set; and executing the multi-device coordinated regulation instruction set, and then performing parameter calibration on the hydraulic and thermodynamic simulation model. The method has the following advantages and effects that the thermal environment of the machine room can be sensed in real time, the energy consumption and heat dissipation requirements can be intelligently balanced, and multiple devices in the cooling system can be cooperatively regulated and controlled, so that the overall energy consumption of the cooling system is optimized while the local overheating risk of the machine room is thoroughly eliminated.

The invention discloses a liquid cooling heat dissipation control method and device for a high-power charging pile, and the method comprises the steps: obtaining the temperature data of a heating element in the charging pile and external environment parameters, building a dynamic heat load distribution model through a pre-built heat conduction algorithm according to the incidence relation between the temperature data and the charging power, and achieving the heat dissipation of the charging pile. Obtaining heat distribution characteristics; according to the heat distribution characteristics, in combination with a preset heat dissipation efficiency threshold value and a power density requirement in the liquid cooling heat dissipation control system, the cooling liquid flow and the cooling liquid circulation rate under the current working condition are calculated, and a cooling liquid distribution scheme containing a flow distribution proportion and a circulation path is determined; and if it is detected that the external environment temperature in the external environment parameters exceeds a preset threshold range, corresponding environment challenge data are matched from a working condition database, the cooling liquid circulation rate is adjusted, an auxiliary heat dissipation mechanism is activated, and an environment adaptation type heat dissipation mode is generated. The heat dissipation efficiency of the charging pile is improved, precise temperature control is achieved, and therefore safe and stable operation of the charging pile is guaranteed.

The invention discloses a single-phase immersed liquid cooling temperature stratification evaluation and disturbance liquid injection balance control system, and relates to the technical field of liquid cooling circulation structures. The single-phase immersed liquid cooling temperature stratification evaluation and disturbance liquid injection balance control system comprises a backflow liquid multi-point liquid inlet dynamic monitoring module used for collecting liquid cooling branch state data; the immersion liquid temperature layering monitoring module is used for evaluating the non-uniform degree of heat distribution and adjusting a disturbance liquid injection strategy; the liquid flow distribution equilibrium evaluation module is used for analyzing the matching degree of liquid flow distribution and heat dissipation and optimizing a flow direction coverage strategy; the cooling path dynamic judgment and switching module is used for evaluating the cooling state and the thermal load change and regulating and controlling the circulation path; and the immersed liquid cooling cabinet local disturbance self-balancing regulation and control module is used for guiding local convection and adjusting the disturbance direction. The problem that heat dissipation efficiency of a chip is affected by local heat accumulation in the immersed liquid cooling cabinet due to serious cold and hot lamination after backflow of a cooling liquid branch is solved.

The invention provides a chip test calibration device and method, and relates to the technical field of chip test. The chip test calibration device comprises a base, a cooling air supply device, a control device, a chip and two groups of manipulators. According to the invention, the chip is heated by setting different temperature environments in stages, and the multi-point synchronous temperature measurement of each temperature stage is combined, so that the heat distribution on the surface of the chip can be comprehensively captured, and the calibration error caused by non-uniform temperature or a detection blind area is avoided; the chip is automatically circulated among the heating station, the detection station and the cooling station, synchronous processing and continuous detection of multiple chips are achieved, the single-batch detection period is greatly shortened, the surface of the chip is directly blown by directional airflow, an efficient air return channel is matched, the temperature of the chip can be rapidly reduced after detection is completed, idle waiting for station switching is reduced, and the overall production efficiency is improved.

The invention relates to the technical field of infrared thermal imaging, and particularly discloses a fire personnel intelligent search and rescue method and device based on infrared thermal imaging, and the method comprises the steps: synchronously collecting fire scene data through an infrared thermal imager and a laser radar, so as to obtain infrared thermal imaging data and fire scene three-dimensional point cloud data; further introducing a data processing technology based on deep learning to carry out feature extraction on the infrared thermal imaging data and the three-dimensional point cloud data of the fire scene so as to capture infrared thermal radiation distribution features and three-dimensional space structure features of the fire scene, and then carrying out fine-grained feature alignment joint perception on the infrared thermal radiation distribution features and the three-dimensional space structure features; therefore, the deep correlation characteristics of the fire scene heat distribution and the three-dimensional space can be captured, and the intelligent detection of the human body target can be realized on the basis. In this way, the problem that heat radiation information and space structure information are separated in a traditional method can be effectively solved, the information utilization rate is increased, and the accuracy and efficiency of human body target recognition are enhanced.

The invention discloses an intelligent monitoring method for an annealing process of a wound transformer iron core, and particularly relates to the technical field of intelligent monitoring. The method comprises the following steps: acquiring temperature data and magnetic field intensity data generated in an annealing process of a wound transformer iron core, and carrying out time domain synchronization processing and abnormal data labeling; identifying an iron core micro-deformation area and a corresponding temperature anomaly area according to the synchronous data, and extracting temperature anomaly fluctuation characteristics; analyzing a dynamic coupling relationship between the temperature abnormal fluctuation characteristic and the iron core stress change, and outputting characteristic data of an iron core magnetic field and stress interaction; synchronously analyzing the interference intensity of abnormal temperature fluctuation on the annealing heat distribution uniformity, and outputting temperature disturbance intensity data; and constructing a coupling anomaly evolution model, generating iron core annealing anomaly evaluation data, quantifying a quality fluctuation risk in an annealing process, and generating intelligent early warning information. The monitoring precision and reliability of the iron core annealing process are effectively improved, and the annealing quality of the transformer iron core is guaranteed.

The invention relates to the technical field of industrial big data storage and management, and discloses an industrial data full life cycle management method and system.The method comprises the steps that original time sequence data of industrial equipment is obtained, Shannon entropy calculation is carried out, and a time sequence importance score sequence is obtained; performing threshold comparison according to the time sequence importance score sequence, and determining a key transient window and a stable normal window; performing lossless differential coding on the key transient window to obtain a high-fidelity data segment; performing feature extraction and sparse processing on the stationary normal window, and performing time domain splicing and index construction to obtain a primary hybrid storage structure; and continuously monitoring the query access path to generate a popularity distribution graph to obtain a hierarchical archiving data set. According to the method, value-aware hierarchical storage and dynamic full-life-cycle management of massive industrial data can be realized.

The invention discloses a server BMC collaborative optimization method and system based on heat perception and energy consumption prediction, relates to the technical field of server hardware management and data center energy saving, and discloses the server BMC collaborative optimization method and system based on heat perception and energy consumption prediction. Comprising the steps that a heat-energy coupling model is established through multi-dimensional data collection and fusion analysis, accurate perception is achieved through three-dimensional heat distribution calculation and LSTM prediction, heat dissipation and power supply parameters are dynamically adjusted in combination with a multi-target optimization algorithm, a closed-loop feedback mechanism is formed, and the energy efficiency ratio of a server can be increased. And dynamic collaborative optimization of heat dissipation control and energy consumption management can be realized, the heat dissipation efficiency of the server is improved, and the service life of hardware is prolonged.

The invention discloses an energy storage power station battery heat flow digital twinborn simulation and cooling capacity adaptive control method, and relates to the technical field of battery heat flow data processing. The energy storage power station battery heat flow digital twinborn simulation and cooling capacity self-adaptive control method comprises the steps that S1, battery characteristic data and cooling characteristic data are collected and preprocessed, and a standardized heat state data set is constructed; s2, evaluating the overall heat flux density of the battery, and dynamically adjusting the rotating speed of a cooling pump and refrigerant flow distribution; s3, analyzing simulation precision, and correcting cooling boundary conditions in real time; s4, the cooling demand intensity is analyzed, and a graded adjusting instruction of the refrigerant flow and the pump speed is generated based on the demand analysis result; and S5, a cooling capacity distribution instruction is generated and verified, issuing execution is carried out, and preventive adjustment is carried out. The problems that most of current heat management systems lack heat flow multi-dimensional space perception and model coupling capacity, three-dimensional heat distribution cannot be mapped in real time, and fine regulation and control and early recognition of abnormal heat distribution are limited are solved.

The invention provides a cabinet three-dimensional temperature field monitoring method and device, and the method comprises the steps: arranging four temperature sensors at the positions of left and right columns at the rear part of a cabinet and the left and right middle positions of the rear side of the top of the cabinet respectively, and forming vertical and horizontal coordinate distribution points covering a key heat distribution region of the cabinet; collecting temperature data of the four temperature sensors at preset coordinate positions, and inputting the temperature data into a three-dimensional temperature field reconstruction algorithm model; processing the temperature data by adopting a bilinear interpolation method, and calculating the temperature value of any position in the cabinet; and according to a hot air convection rule, introducing height direction temperature gradient correction into the three-dimensional temperature field reconstruction algorithm model so as to eliminate the influence of heat convection on a temperature monitoring result. The three-dimensional temperature distribution in the cabinet can be accurately reflected, the temperature monitoring precision and real-time performance are improved, and the installation and maintenance cost is reduced.

The invention relates to an intelligent generation method, system and device for a passive design scheme of a green building and a medium. The method comprises the following steps: firstly, collecting site limitation data and climate data, inputting the data into a thermal performance simulation model, and outputting building heat loss and solar heat gain distribution; based on the result, a genetic algorithm is used for optimizing parameters such as the building orientation and the window-wall ratio, and a building design parameter combination is formed through energy consumption calculation, standard judgment and iterative optimization. Then, thermal and economic parameters are extracted from the design parameters to construct a data set, the parameters are screened to generate a building layout optimization instruction, and the layout is adjusted in combination with a dynamic adaptation standard to obtain an optimization scheme. And finally, associating the optimized layout with site parameters, performing energy model optimization to form a low-carbon scheme, and coupling environment adaptability data to generate a sustainable development scheme. By means of the method, the problems that traditional design parameter optimization is low in efficiency and multiple targets are difficult to balance can be solved, layout reasonability and energy consumption control precision are improved, and low carbon of the whole life cycle of the building is assisted.

The invention discloses a panel lamp light source integration system based on a flexible circuit board, and relates to the technical field of panel lamp light source integration. Generating an initial design drawing of the flexible circuit board containing a plurality of layers of conductive circuits and a plurality of light source bonding pads; the channel configuration module configures a driving control channel for the bonding pad and establishes a mapping table with the lighting function area; the thermal load optimization module calculates power consumption and thermal load distribution according to the mapping table and the performance parameters and adjusts routing topology to generate a final design drawing; and the manufacturing and assembling module is used for manufacturing a circuit board according to the drawing and mounting a micro light source to finish assembling. Wiring is matched with the shape of a panel and the characteristics of a light source during planning, heat distribution optimization is achieved in the layout stage, the number of times of modification is reduced, and local overheating is restrained. According to the invention, high-fit compact integration of the flexible circuit board and the panel lamp is realized, and the assembly efficiency and the operation stability are improved.

The invention relates to the technical field of medical RFQ accelerators, and particularly discloses a medical RFQ accelerator multi-safety redundancy linkage protection system and method, and the method comprises the steps: collecting the working state image data of an accelerator, and generating a three-dimensional fusion feature map containing heat distribution, electromagnetic radiation intensity and mechanical vibration; a multi-dimensional safety index evaluation vector is output by using a multi-mode Transform model; constructing a dynamic safety boundary prediction model, and generating a real-time safety threshold curve of each subsystem according to the evaluation vector; performing parameter optimization by adopting a federated learning framework; constructing a non-tampering security event traceability chain by using a block chain; constructing a multi-stage protection strategy of the medical RFQ accelerator; and verifying the redundancy control channel through a cross-layer security verification mechanism, and finally executing a protection action. According to the invention, multiple safety redundancy protection of the medical RFQ accelerator is realized, the risk of false shutdown is reduced, and the requirement of high reliability of clinical radiotherapy is met.

The invention discloses a welding quality on-line detection method based on machine vision, and particularly relates to the field of welding quality detection.The welding quality on-line detection method comprises the steps that multi-dimensional basic data collection is conducted, the two-dimensional form, heat distribution, micro texture, three-dimensional topological data and welding process parameters of a welding seam are obtained, and a full-dimensional original data set with time-space synchronization is constructed; performing feature decoupling on the data, respectively constructing geometric morphology, thermal, texture and three-dimensional topological feature functions, and converting unstructured data into structured feature values; integrating multi-dimensional features through a nonlinear deep fusion model, introducing thermal probability mapping, texture attention weighting and a three-dimensional residual compensation mechanism, and outputting a weld comprehensive quality value; and finally, positioning dominant defect dimensions and identifying defect types in combination with a dynamic threshold model to finish quality grading judgment. Multi-dimensional accurate detection and dynamic grading of the welding quality are achieved, different scene requirements are met, and the detection efficiency and the judgment accuracy are improved.

The invention relates to the technical field of engine blades, and discloses an electric heating assembly for ice prevention and removal of an engine blade and a preparation method and application of the electric heating assembly. The electric heating assembly and the engine blade are conformal, the long edge of the short axis direction of the engine blade is parallel to the first direction, and the second direction is perpendicular to the first direction; the electric heating assembly comprises a plurality of electric heating pieces which are sequentially arranged in the second direction and connected through a parallel circuit, each electric heating piece is provided with two second edges oppositely arranged in the second direction, and the second edges are parallel to the first direction; the electric heating piece comprises a conductive fabric, and the conductive fabric comprises a fiber fabric and a graphene electric heating layer conformally wrapping the fiber fabric. The electric heating assembly has good heat distribution uniformity, and the anti-icing and de-icing effects of the engine blade can be improved.

The invention relates to the technical field of numerical control, in particular to an engraving and milling machine machining track control method based on machine vision. Comprising the steps of receiving an operation task instruction, collecting a reflected light intensity matrix and processing thermal field data, and generating a source data packet; obtaining a fusion heat distribution matrix through the homography matrix; based on the friction thermal response coefficient, a physical tool nose contact area is judged, a dynamic feature mask is generated, the dynamic feature mask and the reflected light intensity matrix are operated, and a monitoring area is output; executing end coordinates are output through least square ellipse fitting, and sensor calibration parameters are inversely transformed into tool nose feedback coordinates; and reading interpolation instruction coordinates, calculating a differential vector, and driving a feed shaft motor to execute displacement compensation. According to the method, deep space-time coupling is performed on the physical cut-off characteristic of the infrared spectrum, the high-frequency texture characteristic of the visible light and the kinematics constraint of a numerical control system, so that a real tool nose hot spot and an optical virtual image are distinguished, and the uniqueness and authenticity of track identification are ensured.

The invention provides a centralized heating method and system based on room temperature feedback regulation, and the method comprises the steps: collecting and verifying real-time room temperature data, and generating a room temperature feedback signal; the signals are transmitted to a central control unit for sequential processing, and a temperature-time two-dimensional data matrix is generated; a preset dynamic compensation algorithm is used for calculating a heat demand correction value of each heat supply pipe network key node; the heat supply pipeline flow is dynamically adjusted according to the correction value; and verifying the effect through a closed-loop feedback mechanism and optimizing algorithm parameters. According to the method, a network is constructed to realize multi-node synchronous acquisition and verification, and heat distribution heterogeneity and fluctuation characteristics are captured in combination with matrix processing and interpolation completion. Compared with a traditional single-point sensor, according to the scheme, through two-dimensional mapping and anomaly detection, the adjustment response time is shortened to the sampling period level, the temperature deviation calculation precision is improved to + / -0.1 DEG C level, the overheating-underheating alternating phenomenon is solved, and accurate dynamic matching of the heat demand correction value is achieved.

The invention discloses a boiler operation state intelligent monitoring method and system, and the method comprises the steps: collecting multi-source heterogeneous data in a boiler operation process, carrying out the cleaning and normalization processing of the multi-source heterogeneous data, extracting key features through wavelet transform, and obtaining standard multi-source heterogeneous data; modeling time series data in the standard multi-source heterogeneous data on the basis of an LSTM (Long Short-Term Memory) network, capturing a dynamic change trend of boiler operation to obtain time series characteristics, analyzing a hearth flame image and an infrared thermal image by using a CNN (Convolutional Neural Network), and extracting combustion state characteristics and thermal distribution characteristics; and based on the comprehensive state vector, a confidence interval of each feature dimension is calculated through a GMM Gaussian mixture model, an operation state deviation degree is analyzed and evaluated in combination with an entropy value, and when the deviation degree exceeds a preset threshold value, graded early warning is triggered. And the accuracy of boiler operation state intelligent monitoring is improved.

The invention discloses an intelligent rehabilitation bed body dynamic supporting system based on pressure feedback, and relates to the technical field of intelligent rehabilitation bed body dynamic supporting, and the intelligent rehabilitation bed body dynamic supporting system comprises a sensing acquisition module, a data fusion module, an individual modeling module, a strategy generation module, an execution driving module, a state feedback module and a remote interaction module; the sensing and collecting module is used for collecting pressure, temperature, humidity and heat distribution information of a contact area of a bedridden patient and a bed body in real time in a distributed multi-mode sensing mode and outputting original sensing signals. The data fusion module is used for performing multi-source data fusion processing on the original sensing signals from the sensing acquisition module by adopting a Kalman filtering algorithm, extracting comprehensive health indexes reflecting the microcirculation state of local tissues, and outputting fused physiological evaluation data; and the individual modeling module is used for training the body type, the weight, the medical history information and the historical pressure distribution data of the patient by adopting a machine learning model.

The invention relates to the technical field of traditional Chinese medicine physical therapy instruments, in particular to a traditional Chinese medicine physical therapy hot compress device which comprises a waistband body, a temperature uniformizing layer, a physical therapy assembly and a control module. A control module is arranged in the middle of the waistband main body, flexible heating belts are symmetrically arranged on two sides, and adjustable connecting pieces (clamping seats and buckling pieces) are arranged at two ends of the waistband main body, so that the waistline is convenient to adjust; a temperature uniformizing layer and a physiotherapy assembly are sequentially arranged on the inner side of the flexible heating belt, the temperature uniformizing layer is provided with a flexible bag, and the flexible bag is filled with a phase change heat storage material; the physiotherapy assembly comprises a physiotherapy bag and a detachable medicine bag; the control module is provided with a display screen, an adjusting button, an external charging port, a storage battery pack, a temperature sensor and a microprocessor; according to the device, the temperature is accurately controlled through the temperature sensor and the microprocessor, the heat is uniformly distributed through the temperature uniform layer and the phase change material, a user can change a medicine bag according to needs to achieve personalized physiotherapy, and the device has the advantages of being accurate and controllable in temperature, uniform in heat distribution, high in physiotherapy pertinence, convenient and flexible to use and stable and reliable in endurance.

The present application relates to the technical field of computers, and discloses a cold plate, a server, and a server system. The cold plate of the present application comprises: a cold plate body, a cooling liquid cavity being formed in the cold plate body, and a heat exchange plate configured to be connected to a heat source being formed on one side of the cold plate body; a jet structure arranged in the cooling liquid cavity and partitioning the interior of the cooling liquid cavity into a first cavity and a second cavity, the second cavity being formed between the jet structure and the heat exchange plate, and jet holes for spraying cooling liquid toward the heat exchange plate being formed in the jet structure; a cooling liquid inlet communicated with the first cavity; and cooling liquid outlets communicated with the second cavity, the cooling liquid outlets being arranged in pairs and respectively formed in two sides of the cold plate body. In the cold plate of embodiments of the present application, after being sprayed onto the heat exchange plate, the cooling liquid can diffuse to the two sides of the cold plate, and flow out through the cooling liquid outlets in the two sides of the cold plate, such that the heat distribution on the two sides of the cold plate is more uniform, thereby providing a more uniform temperature distribution on the surface of the heat source.

The invention discloses a thermal power plant limited space operation safety and environment multi-parameter monitoring system, and relates to the technical field of operation safety monitoring. A structure parameter model is constructed based on a space volume structure, a gas exchange path, a risk type and an operation position, and multi-parameter sensing nodes are configured; extracting abnormal fluctuation characteristics of the environmental parameters through edge computing nodes; a gas flow model and a heat distribution model are combined to carry out space-time inversion, a risk source is positioned, a space risk heat map is dynamically generated, the position and action state of an operator can be obtained in real time, the exposure probability is calculated, and automatic identification and graded early warning of a high-risk area are realized; the system has high-precision, low-delay and full-coverage monitoring capability, and the intrinsic safety of limited space operation of the thermal power plant is improved.

The invention discloses a laser cleaning method for a magnesium-based foil, and belongs to the technical field of magnesium ion battery manufacturing. According to the laser cleaning method for the magnesium-based foil, the magnesium-based foil is magnesium foil or magnesium alloy foil, and the method comprises the following steps that laser cleaning is conducted on the magnesium-based foil through a laser device, and a laser beam conducts 45-degree cross filling path scanning on the surface of the magnesium-based foil; monitoring a plasma spectral line of laser ablation in real time by using a plasma spectrometer; based on the dynamic change of the magnesium characteristic plasma spectral line intensity, the cleaning parameters of the laser are adjusted; and after cleaning is completed, an oxide layer on the surface of the magnesium-based foil is removed. 45-degree cross filling path scanning is adopted, heat accumulation of a repeated scanning area can be reduced, during 45-degree cross filling, adjacent scanning lines cover in a cross mode, heat distribution is more uniform, heat of the scanning area can be reduced, and therefore the problems of local overheating and negative plate perforation or structural damage caused by too high energy are avoided.

The invention discloses an AI code review method, system and device based on browser extension, and the method specifically comprises the steps: building a local term library and a review rule library through browser extension, persistently storing project specific terms and coding specifications, and forming a domain knowledge graph; when it is detected that the Gitlab MR page is loaded, capturing a developer cursor track and a window focus area in real time, and generating an operation thermodynamic distribution diagram; based on the operation thermodynamic distribution diagram, dynamically activating examination rule nodes of associated code blocks in the domain knowledge graph, and obtaining a rule node priority sequence; and according to the rule node priority sequence, performing static rule review on the high-heat region, and performing semantic defect detection on the correlation function chain to obtain a review result. According to the method, the problems that an existing tool is limited in deployment permission and lacks flexible self-definition capability can be solved, the user experience can be improved by optimizing an interaction mode, and a more efficient and convenient code review solution is provided for developers.

The invention relates to the technical field of augmented reality, and discloses an AR inspection method, system and device applied to an electric power facility and a medium, and the method comprises the following steps: obtaining facility internal temperature data, radar scanning data and environment data of the electric power facility; constructing an equipment thermodynamic diagram according to the temperature data in the facility, and constructing an electrified equipment distribution diagram according to the radar scanning data; generating a dynamic safety model of the electric power facility based on the equipment thermodynamic diagram, the electrified equipment distribution diagram and the environment data; according to the dynamic safety model, planning an inspection strategy of the electric power facility, and sending the inspection strategy to the target AR glasses; and displaying the dynamic safety model and the inspection strategy to the target inspection personnel through the target AR glasses. According to the invention, by integrating temperature, radar scanning and vibration data, a dynamic safety model covering the heat distribution, space structure and operation state of the electric power facility is constructed, and the problems of incomplete environmental perception and lagging risk identification in traditional manual inspection are solved.

The invention discloses a node structure electric arc fuse wire additive manufacturing method, and belongs to the technical field of electric arc additive manufacturing. According to the method, the problems that in the prior art, due to uneven heat distribution, the joint binding force is insufficient, the machining allowance is low, and the welding gun collision risk is caused by too high material accumulation in a joint area are solved; the method comprises the steps that a welding gun deposits a first welding bead along an arcing point, when a second cross welding bead is deposited, a coaxial electromagnetic coil is arranged outside the welding gun, an external alternating magnetic field is generated to act on an electric arc, the electric arc and a molten pool oscillate periodically, and therefore the metal fluidity of the molten pool is enhanced; by applying the external alternating magnetic field, non-contact stirring of the molten pool can be achieved, an additional mechanical movement device is not needed, the molten pool has the advantages of being safe and clean, the fluidity of the molten pool subjected to magnetic arc oscillation stirring is higher, and the problems that materials at nodes excessively accumulate and protrude, and joints of the nodes are heated unevenly and shrink are solved.