416 results about "Heat analysis" patented technology

The invention relates to the technical field of geographic information systems, in particular to a map tile data efficient access method and system based on hybrid storage and intelligent layering, and the method comprises the following steps: constructing a multi-level storage architecture, carrying out dynamic heat analysis, carrying out intelligent layering scheduling, preloading and space prediction, and carrying out transmission and access optimization. The method has the beneficial effects that the multi-level storage pool is constructed by combining the advantages of object storage and a distributed file system; adopting a dynamic tile popularity analysis model to realize hot data cache acceleration and cold data hierarchical archiving; and meanwhile, a tile request preloading mechanism is introduced, and an access path is optimized in combination with a spatial locality prediction algorithm. According to the method, the storage cost can be remarkably reduced, the tile request delay is reduced, quick response in a high-concurrency scene is supported, and the method is suitable for application scenes such as Internet map services and smart cities.

The invention relates to the technical field of machine learning, and discloses a cement kiln alternative fuel consumption prediction method and system based on machine learning. The method comprises the following steps: processing alternative fuel characteristic parameters in a cement kiln system and kiln system operation parameters to obtain a cement kiln multi-source data set; performing thermal analysis test on the alternative fuel sample to obtain an alternative fuel combustion characteristic parameter set; analyzing the dynamic association relationship between the kiln system working condition and the alternative fuel characteristics to obtain a working condition adaptability parameter set; extracting a combustion time-space feature set consumed by the alternative fuel of the cement kiln; performing multi-model parallel processing and prediction result fusion on the combustion space-time feature set to obtain first prediction data; and executing adaptive error correction, and outputting second prediction data and a fuel adjustment suggestion. According to the method, the complex non-linear relation and the time-lag effect between the kiln system working condition and the alternative fuel characteristics are effectively captured, and accurate prediction and optimal control over the alternative fuel consumption are achieved.

The invention discloses a method for analyzing the influence of a rock mass multi-scale structure on deep geothermal reservoir circular mining, and relates to the technical field of geothermal resource development and rock mechanics, and the method comprises the following steps: establishing a reservoir rock mass mechanical analysis model and a seepage heat transfer analysis model which simultaneously comprise a microscopic microcrack structure and a macroscopic crack structure; based on the reservoir seepage heat transfer analysis model, reservoir temperature field and seepage field analysis is carried out, and water pressure and temperature distribution results are transmitted to the mechanical analysis model; based on the reservoir mechanical analysis model, reservoir stress and deformation analysis under the heat-water-force coupling effect is carried out, and changes of microcosmic microcrack and macroscopic crack structures in the reservoir rock mass are obtained; the rock mass permeability evolution equation and the porosity evolution equation are adopted to calculate the reservoir rock mass permeability tensor and the porosity, and the reservoir rock mass permeability tensor and the porosity are transmitted to the seepage heat transfer analysis model; and solving the reservoir temperature field, the water pressure field and the mechanical response in the geothermal circulation exploitation process by adopting a seepage heat transfer analysis and mechanical analysis staggered iteration mode. By analyzing the reservoir temperature, the water pressure, the deformation evolution response and the reservoir permeability change in the geothermal exploitation process, geothermal exploitation design and protection can be reasonably carried out, and the application prospect is good.

The invention provides a data management method and system based on optomagnetic fusion storage, and belongs to the field of data management.The method comprises the steps that target data are obtained, data feature information is collected, and data popularity analysis is carried out; a basic storage scheme is determined according to data popularity, and intelligent decision-making of optical storage, magnetic storage or fusion storage is realized through data criticality analysis and popularity critical coefficient evaluation; predicting a storage loss parameter according to the data popularity and the storage scheme, and optimizing an error correction code or erasure code parameter in combination with the data criticality; and finally, implementing data management according to the determined storage scheme and optimization parameters. The technical problems that a traditional storage system cannot intelligently distribute storage media according to data characteristics, and access efficiency and storage safety are difficult to balance are solved, self-adaptive selection of a storage scheme and optimization of storage quality are achieved, and efficiency and reliability of data management are improved.

The invention provides an intelligent phase control vacuum circuit breaker health degree assessment method and device and a circuit breaker, and relates to the technical field of circuit breaker health assessment, and the method comprises the steps: carrying out the vacuum degree detection of an arc extinguish chamber in an intelligent phase control vacuum circuit breaker, and obtaining the vacuum degree; performing heating analysis on the vacuum circuit breaker according to the vacuum degree to obtain a heating parameter, and performing zero crossing point monitoring error analysis to obtain a zero crossing point error coefficient; according to the operation time parameter of the vacuum circuit breaker, mapping to obtain a mapping zero-crossing point error coefficient, calculating to obtain a zero-crossing deviation coefficient, and according to the zero-crossing deviation coefficient and an analysis deviation coefficient of heating analysis and zero-crossing point monitoring error analysis, carrying out confidence degree processing to obtain a zero-crossing confidence degree; and distributing a weight according to the zero-crossing confidence coefficient, and performing health degree calculation based on the vacuum degree and the zero-crossing point error coefficient to obtain the health degree of the vacuum circuit breaker. The technical problem of inaccurate health degree evaluation of the intelligent phase-controlled vacuum circuit breaker in the prior art is solved.

The invention provides a method for on-line detection of spheroidization rate and shrinkage porosity index of nodular cast iron, which comprises the following steps: pouring molten iron subjected to spheroidization into a thermal analysis sample cup, recording the change rule of the temperature of the molten iron in the thermal analysis sample cup along with time, and drawing a cooling curve of solidification time-temperature; according to the shape of the cooling curve, determining which of a hypoeutectic solidification mode, a near-eutectic solidification mode and a hypereutectic solidification mode the solidification mode of the spheroidized iron liquid belongs to; different calculation formulas are adopted for predicting the nodularization rate and the shrinkage porosity index of the nodular cast iron according to the three different solidification modes. The method comprises the following steps: drawing a cooling curve between solidification time and temperature of molten iron, carrying out numerical differential treatment on the curve to obtain a temperature value of a feature point, and judging which solidification mode of the molten iron belongs to a hypoeutectic solidification mode, a near-eutectic solidification mode and a hypereutectic solidification mode according to the shape of the cooling curve. And further calculating the spheroidization rate and shrinkage index of the spheroidized molten iron through a formula.

The invention provides a steel shell concrete interface void detection system and method, and relates to the technical field of civil engineering structure health detection, and the system comprises a mobile scanning unit, an excitation unit, an infrared imaging unit, a signal processing and acquisition unit and a comprehensive analysis terminal. The method comprises the following steps: controlling a mobile scanning unit to carry out step-by-step impact excitation and signal acquisition so as to obtain a frequency diagram, and synchronously sampling by using an infrared thermal imager so as to obtain a thermal analysis diagram; and then binarizing the two images respectively, fusing the two images by adopting a noise suppression algorithm to generate a comprehensive image, and judging that the interface is void according to the fused image. According to the method, the high sensitivity of the impact echo method to the layering defect and the accurate description capability of the infrared thermal imaging method to the defect shape are fused, so that nondestructive, efficient and high-precision detection of the steel shell concrete interface void is realized, and the misjudgment and leak detection risks of a single method are effectively reduced.

The invention discloses a large-span tied arch bridge steel box arch rib construction control method. The method comprises the steps that a large-span tied arch bridge steel box arch rib section three-dimensional model is established, and arch rib sections are numbered in sequence; performing all-weather continuous monitoring on the arch rib section temperature data room by using mathematical statistics and a comparative analysis method to obtain monitoring data; analyzing an influence rule of natural parameters, steel box arch rib structure attributes and construction parameters on the space time-varying non-uniform temperature field by adopting a heat exchange theory of a bridge structure and an external environment and a bridge structure thermal analysis theory according to the monitoring data and the three-dimensional model; and according to the influence rule, the expected folding time and the position size of a folding opening are determined, the position size of the folding opening is adjusted based on a folding opening adjusting device, and the arch rib section folding construction operation is completed within the expected time. The expected folding time and the folding opening position size are accurately determined, and the construction precision and efficiency are effectively improved.

The invention relates to the technical field of integrated circuits, discloses an electrothermal simulation and vertical interconnection planning system, method and device for integrated core particles, and solves the problems of low thermal simulation efficiency, incomplete electrothermal coupling modeling and VIC redundancy. The temperature simulation module is used for performing temperature simulation on core particle packaging based on an effective thermal conductivity model and a thermal resistance and thermal capacity network solver, and the effective thermal conductivity model determines thermal conductivity of different packaging layers through a predefined lookup table; a core particle architecture emulator for performing temperature dependent power consumption analysis in which the temperature dependencies of dynamic power consumption and leakage power consumption are modeled by a temperature scaling function; a vertical interconnect planning module to optimize the number of vertical interconnects (VICs) under signal connectivity, power routing constraints, and thermal integrity constraints; according to the system, through iteration of electrothermal coupling simulation and adjustment of power consumption distribution and VIC planning, the temperature of the core particles is lower than a preset threshold value, and the number of VICs is minimized.

The invention provides a switch cabinet structure optimization method, system and device based on temperature field distribution and a medium, and belongs to the technical field of power switch cabinet optimizing.The method comprises the following steps that a geometric model of a switch cabinet is determined, and a finite volume method is used for establishing a heat-flow coupling thermal analysis model of the switch cabinet; analyzing a heat transfer process of the switch cabinet, setting boundary conditions through a convection effect and a radiation effect, and operating a heat-flow coupling thermal analysis model of the switch cabinet to obtain distribution characteristics of a temperature field and a velocity field in the switch cabinet; determining influence factors of the switch cabinet, designing an orthogonal test, and analyzing the influence degree of the change of each influence factor on the average temperature rise of the internal surface of the switch cabinet; and selecting the key factors of which the influence degrees are greater than a threshold value, and performing optimization by using a switch cabinet optimization model of a BP neural network combined genetic algorithm to obtain an optimal switch cabinet structure design scheme. The design accuracy and efficiency of the switch cabinet are improved, the design cost is reduced, and meanwhile the stability and safety of the switch cabinet are improved.

The invention relates to the technical field of electronic device thermal management, in particular to a circuit board device thermal analysis system based on target detection, which comprises a thermal processor, and the thermal processor is in communication connection with a thermal map generation module, a thermal model construction analysis module, an improved evaluation module and a thermal response module. An image acquisition unit and an image processing unit are arranged in the heat map generation module; according to the method, the device on the PCB is accurately identified and positioned through image processing and target detection technologies, and the thermal infrared image is accurately associated with the device, so that thermal analysis more accurately reflects the actual heat production condition of the PCB, a more targeted basis is provided for thermal management through model construction and analysis, and the thermal management efficiency is improved. Meanwhile, the thermal analysis label is obtained based on information feedback, targeted management on the PCB based on the thermal analysis label is facilitated, simulation evaluation is conducted on improvement of the improvement scheme, whether the improvement scheme of the PCB reaches the standard or not is judged, and the improvement effect and feasibility of the improvement scheme are visually known.

The invention discloses a whole vehicle sunlight simulation system with 18 metal halogen lamps, which belongs to the technical field of vehicle detection and comprises a simulation system building unit, a metal halogen lamp adjusting module, a state monitoring unit, a state judgment module, a heat dissipation analysis unit, a heat dissipation judgment module, a correlation analysis unit and an early warning module. According to the invention, by dividing vehicle characteristic areas, reasonably configuring the layout of the metal halogen lamps and combining the dynamic adjustment module, uniform distribution of illumination intensity and angle of the whole vehicle is realized, a real sunlight environment is accurately simulated, the working temperature and duration of the metal halogen lamps can be collected in real time through the state monitoring unit, and the health state of equipment can be rapidly identified; the heat dissipation analysis unit further evaluates the heat dissipation efficiency, and judges the abnormal reason of the metal halogen lamp through correlation analysis, thereby facilitating the maintenance personnel to quickly position the root of the problem, reducing the downtime, and improving the operation efficiency of the system.

The invention provides a thermal analysis method and system for a ceramic matrix composite high-pressure turbine blade. The method comprises the steps that S1, a grid is generated based on a turbine blade profile; s2, calculating and assigning a heat conductivity coefficient tensor according to the generated grid; the heat conductivity coefficient tensor comprises the heat conductivity coefficient tensor of the blade surface, the heat conductivity coefficient tensor of the interior of the blade body and the heat conductivity coefficient tensor of the rib plate; and S3, carrying out heat conductivity coefficient tensor assignment, carrying out final heat conduction or gas-solid-heat coupling calculation, and outputting a calculation result. According to the invention, a set of assignment method for the anisotropic heat conductivity coefficient of the CMC material is established, an automatic assignment system for the anisotropic heat conductivity coefficient is established by adopting MATLAB and Fluent UDF, the problem of rapid assignment of the anisotropic heat conductivity coefficient of the CMC high-pressure turbine guide vane is solved, and technical support is provided for coupling thermal analysis and research of the CMC high-pressure turbine guide vane.

The invention relates to the technical field of cast iron alloys, in particular to a preparation method of high-carbon-equivalent gray cast iron, which comprises the following steps: taking scrap steel as a main material, taking scrap castings, silicon carbide and a carburant as auxiliary materials, and smelting according to a determined raw material ratio and a determined carbon equivalent value range; sampling smelted molten iron to obtain a first cooling curve of the molten iron, extracting characteristic points, performing thermal analysis to determine the metallurgical state of the molten iron, and adjusting the content of pre-inoculated silicon carbide or analyzing the possibility of over-inoculation; pre-inoculation is conducted on the smelted molten iron, the smelted molten iron is secondarily sampled to obtain a second cooling curve of the molten iron, feature points are extracted, the pearlite form is determined, and the sensitivity index of the smelted molten iron to inoculation is calculated according to the change condition of the feature points of the first cooling curve and the second cooling curve. Through pre-inoculation adjustment and tapping inoculation and pouring inoculation, the problems that graphite is thick and large and the performance is reduced easily due to high carbon equivalent are solved.

The invention discloses a self-reaction substance drying process safety assessment and classification method based on thermal analysis kinetics. The method comprises the following steps: performing a multi-heating-rate programmed heating test on a self-reaction substance under a closed condition by adopting DSC to obtain an exothermic initial temperature, a peak temperature and a specific exothermic quantity, constructing a thermal decomposition kinetic model based on the obtained data, and solving kinetic parameters such as apparent activation energy and pre-exponential factors; combining an energy conservation equation and a thermal explosion theory, predicting a self-accelerated decomposition temperature SADT under an adiabatic condition TD24 and a given filling and heat dissipation condition, determining a temperature safety threshold value of a drying process according to the SADT, and dividing a working condition safety interval; further introducing three dimensionless safety factors including a temperature safety margin, a time safety margin and a thermal explosion margin, constructing a comprehensive risk index, and carrying out risk grade division on the drying working condition. The method provided by the invention has the advantages of low sample consumption, simple test conditions and standardized calculation process, can quantitatively evaluate the safety drying temperature upper limit of different self-reaction substances and under different process conditions, and provides a reliable basis for drying process design and safety control of the self-reaction substances.

The invention provides a bandwidth allocation method and device, electronic equipment and a storage medium. The method comprises the following steps: monitoring network state indexes of a plurality of private line links in real time; carrying out heat analysis on service flows transmitted on the plurality of private line links based on the network state indexes, and identifying a heat flow meeting a preset condition; selecting a target link from the plurality of private line links according to the flow characteristics of the heat flow and the network state index; establishing a hardware direct connection forwarding channel on the target link for the heat flow, and synchronizing configuration information of the hardware direct connection forwarding channel to a control component; and receiving a global bandwidth allocation strategy issued by the control component based on the configuration information, and calling the hardware direct connection forwarding channel to execute local flow scheduling for the heat flow according to the global bandwidth allocation strategy and the network state index. Therefore, the forwarding performance and the resource utilization rate of the private line gateway are remarkably improved.

The invention relates to the field of distributed storage, and discloses a distributed storage system, method and equipment for wind power plant data and a medium, which are used for realizing flexible adjustment of a storage strategy and meeting the storage requirement of dynamic change of a wind power plant data value. Comprising the following steps: collecting SCADA system data at edge nodes of a wind power plant, inputting an information entropy module and an access heat analysis module in parallel, fusing to generate a data value evaluation result, inputting the evaluation result into a cellular automaton engine, outputting a cellular state change instruction, summarizing collaborative strategy requests of at least two edge nodes to a regional center node, and carrying out collaborative strategy analysis on the regional center node. And a fair resource allocation scheme is output through the Sharpley value calculation module. And each edge node synchronously receives the scheme, the time sequence database controller generates a final storage instruction, and data distributed persistent storage is completed. According to the method, on the basis of the correlation between the long-term data value evaluation result and the actual use value, the entropy value and the popularity weight coefficient are optimized, and self-adaptive optimization of the system is achieved.

The invention provides an integrated chip for synchronous thermal analysis, a synchronous thermal analysis system and a synchronous thermal analysis method, and is applied to the technical field of micro-nano sensors. A heating area is formed on a resonance disc through heating of a heating element, a plurality of thermocouples are arranged on the resonance disc to form a thermopile, and a temperature measurement area for detecting the temperature of the heating area is formed; the hot ends of the thermocouples are connected to the cold ends of the thermocouples on the substrate through the wires on the plurality of connecting beams distributed around the resonance disc, so that the number of the thermocouples in the resonance disc can be increased, and the temperature sensitivity of the integrated chip can be improved; therefore, the integrated chip can meet the sample test requirements of low heat absorption / release or small temperature change, so that the measurement capability of a synchronous thermal analysis system is improved.

The invention discloses a turbine blade tip clearance passive matching method based on engine requirements, and belongs to the technical field of aero-engines, and the turbine blade tip clearance passive matching method comprises the steps that the minimum allowable working clearance is determined; determining a typical tip clearance analysis load spectrum; performing thermal analysis and deformation analysis on the rotor and the stator; according to the deformation results of the rotor and the stator, a blade tip gap change rule is analyzed, and a blade tip gap change rule is obtained; according to different engine requirements, blade tip clearance matching is optimized according to the material, the structure and the cooling form of the cartridge receiver; determining an initial cold-state gap according to the narrow-point gap and the minimum allowable working gap; and carrying out iterative calculation, and determining a final blade tip clearance matching scheme. Turbine rotor deformation and turbine stator deformation can be matched so as to ensure that the turbine blade tip clearance is as small as possible in the focused operation state, that is, the turbine blade tip clearance is reduced as far as possible, the turbine efficiency is improved, and the oil consumption rate is reduced on the premise of ensuring the safety of an engine.

The invention relates to the technical field of battery packs, in particular to a battery pack heat preservation and heating control method, device and equipment and a medium. The bag-shaped heat preservation heating sleeve with the heat insulation layer is arranged outside the battery pack to control the temperature; the method comprises the following steps: firstly, acquiring temperature data of each region by using a temperature sensor to analyze and evaluate a temperature state, identifying a temperature abnormal region, performing directional heating analysis, and generating heating control parameters; then, according to the parameters, the heating power of the local area is adjusted, a control signal is sent to a controller, and the output power of the heating film in each area is adjusted; the battery pack can be flexibly installed after leaving a factory, the temperature control effect is improved through the heat insulation effect of the heat preservation heating sleeve and accurate partition control, the battery can be kept at the proper charging and discharging temperature, the effective discharging rate of the battery is improved, and the original battery pack structure does not need to be changed.

A battery material containment device comprises a lid; a housing case that is constructed and arranged to hold a battery material during a thermal analysis operation, the housing case including a threaded region for receiving and removably coupling with the lid to form a gas-tight seal and securing the battery material in the housing case; at least one vent for providing a gas flow path for the release of gasses generated by the battery material in the housing case during the thermal analysis operation; and a heat flow pathway between the battery material and a sensor that is maintained during the thermal analysis operation.

The application discloses a high-voltage vacuum arc-extinguishing chamber contact resistance and equivalent thermal analysis method, comprising the following steps: three-dimensional equivalent modeling of the high-voltage vacuum arc-extinguishing chamber; determining the number and position of the contact piece contact points; experimentally measuring the high-voltage vacuum arc-extinguishing chamber loop resistance and calculating the contact radius; establishing a conductive bridge, and obtaining a simulation loop resistance by an electromagnetic simulation software; adjusting the contact radius so that the simulation loop resistance is consistent with the experimental measurement result, and obtaining an adjusted conductive bridge; performing electromagnetic field-thermal field-airflow field two-way coupling simulation analysis based on the high-voltage vacuum arc-extinguishing chamber equivalent model of the adjusted conductive bridge, and obtaining the high-voltage vacuum arc-extinguishing chamber temperature rise distribution. The application can more accurately simulate the current constriction effect on the large-size high-voltage vacuum contact piece and more accurately simulate the high-voltage vacuum contact piece contact resistance.

The invention discloses a life prediction method based on thermal analysis, and relates to the technical field of semiconductor life prediction. Comprising the following steps: information acquisition: acquiring past prediction information and user demands, wherein the past prediction information comprises past sample information and past prediction life; the specific precision of outputting the target predicted life is determined according to user requirements, different prediction requirements can be met, the target predicted life and scene life information in the corresponding range can be output according to the user requirements through the set life prediction method, the response speed of fuzzy output and the response speed of accurate output are different, and the user experience is improved. According to the method, the efficiency can be improved, the estimation requirements of different posts or tasks can be flexibly met, the added information is correspondingly corrected through a set feedback correction method and the difference between the actual life and the target predicted life, the newly obtained actual life data can be conveniently used for learning and optimization, the dynamic adaptability is improved, and the prediction efficiency is improved. And the precision of subsequent life prediction is improved.

Provided is a light control device (10) comprising a plurality of liquid crystal light control layers (11), (14), and a retardation layer (13) disposed between the plurality of liquid crystal light control layers (11), (14), wherein the plurality of liquid crystal light control layers (11), (14) each includes a guest-host liquid crystal composition, and the softening temperature by thermal analysis measurement of the retardation layer (13) is 180°C or higher. Also provided is an imaging device apparatus (30) comprising the light control device.

The invention relates to the technical field of big data management, and discloses a data encryption method and system based on cloud computing, and the method comprises the steps: obtaining a user access log and a user interest set; performing user behavior analysis according to the user access log to obtain user access frequency and data sensitivity; performing popularity analysis according to the user access frequency and the user access log to obtain data access popularity; performing interest analysis according to the user interest set and the data access popularity to obtain data interestingness; performing comprehensive evaluation according to the user access frequency, the data access popularity, the data sensitivity and the data interestingness to obtain a data comprehensive score; and encrypting the data according to the data comprehensive score and a preset score threshold. The method has the following effect that the management efficiency of data encryption can be improved.

The application discloses a kind of online judgment ZL114A alloy modification level thermal analysis method, comprising: 1) in the production smelting process of ZL114A alloy, a certain amount of cast aluminum melt is sampled, and is poured in square sample cup with thermocouple, and the cooling curve of aluminum liquid solidification process is collected using thermal analysis instrument, and the temperature data in cooling process is obtained;2) the temperature data of the collected aluminum liquid solidification process is filtered, the interference in the experimental process is excluded, and the temperature characteristic value required for subsequent analysis is extracted;3) the temperature characteristic value of ZL114A in cooling process extracted from cooling curve is substituted into modification grade evaluation model, and the modification grade of ZL114A evaluated by software online is obtained.The method of the application uses modification grade calculation model to evaluate and calculate the modification grade of target aluminum liquid, can make more rapid, more accurate judgment to the modification effect of ZL114A alloy, provide basis for the dynamic adjustment of the addition amount of modifier in production process, and guarantee the yield of ZL114A alloy.

The present invention discloses a method for analyzing the thermal comfort of a vehicle occupant compartment, which includes the following steps: building a CFD flow field analysis model of the occupant compartment; respectively building a basic thermal analysis model of the occupant compartment and a passenger physiological model and combining them to form a thermal analysis model of the occupant compartment; building a thermal analysis model in the preheating stage; building a transient CFD flow field analysis model of the occupant compartment; building a transient CFD flow field analysis model of the occupant compartment in the preheating stage; building a flow field model and a thermal analysis model of the occupant compartment in the driving stage, and coupling calculations to obtain the interior temperature and passenger comfort at different stages of the driving condition. By establishing a thermal comfort analysis model, the present invention can accurately obtain the cooling and heating thermal comfort performance of the occupant compartment during vehicle development, understand whether the cooling and heating loads of the air conditioning system meet the target design requirements, support the reasonable design of energy consumption, and at the same time avoid the situation of changing the component design in the later verification stage of the project, increasing the R & D investment and affecting the project cycle.

This invention discloses a collaborative scheduling and path planning method for warehousing and logistics robot clusters, relating to the field of path coordination and planning technology. When constructing a directed topology graph, this method records the passage cost value and initializes a second-level occupancy record table to achieve accurate querying of the number of nodes occupied per second. When assigning tasks, if the starting node is full, the start is delayed to eliminate congestion at the starting point. During path generation, nodes are filtered based on their passage cost value, and nodes that are full at the arrival time are excluded to avoid leading to congestion points. When updating the record table, the robot number is entered at the arrival time, quantifying the occupancy into second-level data. During congestion analysis, the capacity of nodes with density ratios exceeding a threshold is temporarily reduced to shrink the number of occupants in advance. During traffic heat analysis, the passage cost value of the edges traversed is increased according to the robot type and loading level, so that subsequent paths bypass heavily loaded edges. During conflict resolution, temporary capacity is used to determine conflicts, and paths are regenerated according to the adjusted passage cost value, staggering spatiotemporal trajectories to reduce overlap.

The utility model discloses a thermal analysis device for a power device, which comprises an analysis chamber, a horizontally arranged heating table is mounted at the bottom of an inner cavity of the analysis chamber, the heating table is of a circular structure, a plurality of rings of loading grooves are formed in the upper surface of the heating table, each ring of loading groove comprises a plurality of loading grooves which are circumferentially distributed, and the loading grooves are used for placing the power device; a telescopic cylinder arranged downwards in the vertical direction is mounted at the top of an inner cavity of the analysis chamber, a rotary seat and a transverse moving seat are sequentially mounted at the head of the telescopic cylinder from top to bottom, a lead screw penetrates through the transverse moving seat, a nut in threaded connection with the lead screw is mounted on a main body of the lead screw, and the nut is slidably connected with the bottom of the transverse moving seat; and a thermal imaging component arranged downwards is mounted at the bottom of the nut. The thermal analysis device for the power device provided by the utility model can realize synchronous testing of batch devices, and remarkably improves the testing efficiency.

The invention relates to a thermal analysis method and a measuring device for a solidification process after modification treatment of aluminum and aluminum alloy, and the thermal analysis method comprises the following steps: adding seed crystal particles into an overheated melt in a vacuum environment or an inert atmosphere through a feeding device; cooling and solidifying the overheated melt, and collecting and recording a cooling curve T-t of the seed crystal particles through a high-speed temperature collecting device; the cooling curve is subjected to derivation calculation, and thermal characteristic parameters in the melt solidification process are represented; comparing the thermal characteristic parameters, and judging the deterioration effect. According to the method, the seed crystal particles are placed into the melt, melt solidification data are collected, and efficient judgment and high-throughput screening of the seed crystal particles and the second-phase modified refined seed crystal particles in the aluminum alloy are achieved by means of the quantitative relation among the seed crystal particle characteristics, the local temperature and the supercooling degree.