527 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 an aerodynamic thermal analysis method, device and equipment under multiple conditions and a medium, and relates to the technical field of aerodynamics, and the method comprises the steps: obtaining a target high-temperature gas flow field of an aircraft, and extracting wall surface parameter information and wall surface sub-layer parameter information; calculating the inflow and outflow mass flux of each component in a control body, determining condition parameters of each wall surface effect condition, and obtaining a component mass conservation equation; constructing a wall surface total mass conservation equation based on the mass flux, the component diffusion conservation condition and the catalytic conservation condition of each component; constructing a wall surface energy conservation equation based on the total mass ejection flux, the wall surface parameter information and the wall surface secondary layer parameter information determined by the wall surface total mass conservation equation; performing mathematical operation on the component mass conservation equation, the wall surface total mass conservation equation and the wall surface energy conservation equation to obtain a wall surface heat flow calculation equation; and substituting the current wall surface condition into the wall surface heat flow calculation equation to obtain an aerodynamic heat analysis result, and realizing accurate aerodynamic heat analysis under different working conditions.

The invention relates to the field of welding technology and finite element analysis, and particularly discloses a welding simulation method and system based on sub-field modeling. According to the system, the welding area is divided into a plurality of sub-fields, so that the simulation precision and efficiency are improved. The system comprises four main parts: gridding, heat source setting, thermal analysis and structural analysis. And the gridding module realizes fine grid division of the complex geometry by utilizing a sub-field technology and combining isotherm information. The heat source setting module accurately defines heat input conditions in the sub-fields according to welding process requirements. The thermal analysis module simulates the change of a temperature field in the welding process and provides detailed sub-field temperature distribution data. And the structural analysis module analyzes stress and deformation caused by welding based on the thermal analysis result, and particularly focuses on stress transfer and deformation behaviors among the sub-fields. According to the whole system, the welding simulation precision is greatly improved, manual intervention is reduced, and powerful technical support is provided for optimization of a complex welding process.

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.

A vehicle battery protection device for preserving the charge of the vehicle battery is electrically connectable between a vehicle battery and a vehicle electrical system. The device includes a solid-state switch commandable between an on state and an off state. A thermal safety algorithm executable by the device may include a switch derating process, a thermal analysis calibration, a vehicle profile function, and a data reconciliation function. The device employs hardware and software solutions to reduce the risk of thermal runaways and component failures in the device, while maximizing its useful operating envelope. The software solutions may include predicting future thermal loads for the device based on vehicle usage patterns specific to the vehicle within which the device is installed. Those predictions may be used to generate risk datasets which influence whether and to what extent thermal mitigation measures will be employed by the device at any point in time.

The invention provides a C / C composite material ablation morphology prediction method considering a complex microstructure, and solves the technical problem that the prediction result is not accurate enough due to the fact that the influence of the material microstructure on the ablation morphology is not fully considered in the existing prediction method. A random sequence adsorption algorithm is adopted to create C / C composite material microscopic representative volume cell elements based on a three-dimensional voxel grid, and under a finite element transient heat transfer analysis framework, ablation criteria of all components of the C / C composite material are respectively established according to temperature information and chemical reaction kinetic parameter information; and finally, C / C composite material microscopic ablation morphology prediction comprehensively considering complex microstructure characteristics is realized.

The invention discloses an air conditioner energy-saving operation optimization scheduling method and system. The method comprises the following steps that position coordinate data of all air conditioner units in a factory workshop are obtained; according to the position coordinates and the relative positions of the air conditioner units, the air conditioner units are divided into a basic air conditioner set and adjacent air conditioner sets; according to the spatial distribution relation of the air conditioning units, an influence relation graph between the air conditioning units is constructed; based on the heat generated in the workshop, the thermal load condition of each area is determined; based on the heat analysis result, the operation parameters of each air conditioning unit are set in combination with the mutual influence relation between the air conditioning units; scheduling optimization is conducted on the operation state of the air conditioning unit based on the operation parameters of the air conditioning unit; according to the air conditioner energy-saving operation optimization scheduling method and system, the problems of low energy efficiency, energy waste, unreasonable scheduling, lack of flexibility and the like of an air conditioner system are solved. Through intelligent optimization scheduling, the operation efficiency of the air conditioning system can be effectively improved, energy consumption is reduced, and the purposes of energy conservation and emission reduction are achieved.

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 reactor core flow heat transfer analysis method, device and equipment and a storage medium, and relates to the technical field of nuclear power. The method comprises the following steps: obtaining a reduced-order model corresponding to a reactor core, the reduced-order model being constructed by using a snapshot set, and the snapshot set being used for representing the flow heat transfer state of the reactor core under different working conditions; acquiring first information of a reactor core; inputting the first information into a reduced-order model to obtain second information of the reactor core on each time step; the second information of the reactor core on each time step is input into a POD primary function application equation, a flow heat transfer analysis result of the reactor core on each time step is obtained, the POD primary function application equation is generated based on the snapshot set, and the flow heat transfer analysis result comprises solutions of the speed, the pressure, the internal energy, the turbulence pulsation and the dissipation rate. The calculation efficiency of flow heat transfer analysis is improved.

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 motor fault monitoring and early warning, and discloses a motor fault monitoring and early warning system which comprises a motor data collection module, a motor data analysis module and a motor fault detection and early warning module. The motor data collection module comprises a motor temperature data collection unit, a motor cooling fin data collection unit, a motor load data collection unit and an operation data collection unit. According to the system, temperature data in the working process of a motor are analyzed, whether the temperature data in the working process of a battery exceed a set reasonable range or not is judged, and if the temperature data exceed the set reasonable range, a motor heat dissipation analysis unit and a motor load analysis unit are called to analyze the reason of heating in the working process of the motor; at the moment, a motor heat dissipation analysis result is obtained through calculation of a motor heat dissipation analysis unit and a motor load analysis unit, and high-grade early warning, middle-grade early warning and low-grade early warning are output according to the motor heat dissipation analysis result, so that management personnel can quickly confirm motor fault causes.

The invention provides an aircraft composite material defect simulation method based on finite element analysis, and relates to the technical field of material defect simulation. Comprising the following steps: S1, setting an analysis system which is statics, dynamics or thermal analysis; s2, establishing a geometric model; s3, introducing defects of the composite material into the geometric model; s4, defining material parameters including elastic modulus, density and Young modulus; s5, performing mesh generation on the geometric model, and decomposing the structure into finite elements; s6, setting boundary conditions of the simulation geometric model, wherein the boundary conditions comprise constraints and loads; s7, simulation is operated, and the response of the geometric model under the given loading condition is obtained; s8, analyzing an operation result, and checking defect influence in the structure; compared with the prior art, the influence of composite material defects in an aircraft structure can be accurately simulated, and the performance of the aircraft structure can be improved.

The invention provides a high-speed oil-cooled flat wire motor stator oil path structure design method, which comprises the following steps of: sequentially establishing a structure model, a loss model and a thermal analysis model of a high-speed flat wire motor based on the thoughts of a thermal network method and a finite element method; determining an optimal design scheme of the motor oil cooling system by gradually simulating and calculating temperature rise conditions of important positions in the motor when different spraying ring structures and iron core oil path layout are selected, and finally constructing a test motor entity according to the optimal design scheme determined by simulation and carrying out a bench test to verify the reasonability of the scheme. Therefore, an accurate and efficient oil cooling system design theory suitable for the flat wire winding permanent magnet driving motor is formed.

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 discloses a carbonized fiber purity adjusting and detecting system and method based on a pre-oxidation furnace, and relates to the technical field of pre-oxidation furnace control, and the system is characterized in that the pre-oxidation furnace is driven according to initial control parameters, and precursor fibers with preset sizes are subjected to pre-oxidation treatment to obtain carbonized fibers; selecting a carbonized fiber sample for thermal analysis test, and establishing a thermal weight loss curve of the carbonized fiber according to a test result to obtain the carbon content in the carbonized fiber; comparing the carbon content with the standard content to obtain carbonized fiber purity information, and deducing standard control parameters of the pre-oxidation furnace according to the purity information and the initial control parameters; and driving a pre-oxidation furnace to perform pre-oxidation treatment on the precursor fiber according to the standard control parameters to obtain the purity-adjusted carbonized fiber. By establishing the thermal weight loss curve of the carbonized fiber and analyzing the carbon content, key variables in the production process can be accurately monitored and adjusted.

The invention belongs to the field of thermal analysis, and particularly relates to a calibration method of a synchronous thermal analyzer, temperature calibration, enthalpy calibration and thermogravimetric calibration of the synchronous thermal analyzer are carried out by adopting a standard substance with known melting point and enthalpy data, and high precision of each calibration step is ensured, so that the accuracy of measured data of the synchronous thermal analyzer is improved. The calibration method is suitable for various standard substances, can be widely applied to different types of synchronous thermal analyzers, and has good applicability and universality. The calibration coefficient and the temperature deviation are automatically calculated through an instrument, the calibration process is simplified, the experiment efficiency is improved, and personal errors are reduced. The method is verified through multiple experiments and has good repeatability, and it is ensured that measurement results are consistent when different instruments in different batches are used.

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 relates to the technical field of building construction, in particular to a steel structure construction optimization method in a plateau sunshine environment, which comprises the following steps: establishing a thermal analysis finite element model of a steel structure in the plateau sunshine environment; based on the thermal analysis finite element model of the steel structure in the plateau sunshine environment, simulating a temperature field distribution rule of the steel structure in the plateau area in the sunshine environment; and the construction time of the steel structure in the plateau sunlight temperature environment is determined by simulating temperature field distribution and time-varying characteristics of the steel structure in the plateau sunlight temperature environment based on the thermal analysis finite element model. The problems that in the prior art, temperature distribution and change rules of the steel structure in the plateau alpine region are not accurately predicted, and construction time is not scientifically selected can be 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 discloses a thermoelectric waste heat coupling heat supply system based on geothermal energy, and particularly relates to the technical field of energy utilization, comprising: a geothermal energy extraction module transmits geothermal energy to a heat supply pipe network through a geothermal well and a heat pump to realize primary heat supply; the heat pump module raises the geothermal temperature to ensure stable output; the heat supply analysis module monitors the primary heat supply state and judges whether the hidden danger of heat insufficiency exists or not; if the defects exist, the overall heat supply state judgment module generates a geothermal energy heat supply index and a heat pump efficiency index, and the heat supply state is comprehensively judged; the control adjusting module triggers the thermal power plant waste heat module according to the result, and secondary temperature increasing is carried out to guarantee heat supply; the geothermal energy and the waste heat of the thermal power plant are organically coupled, the two heat sources are effectively integrated, optimal allocation of resources is achieved, the geothermal energy serves as a basic heat source to meet basic heat supply requirements, the waste heat of the thermal power plant serves as an auxiliary heat source to automatically start to supplement heat when heat supply is insufficient, and therefore continuity and stability of heat supply are guaranteed.