124results about How to "Verify reliability" patented technology

A CFD (computational fluid dynamics)-based wind turbine generator load simulation method under a high slope comprises the following steps: step 1, acquiring topographic data and position information of the high slope: acquiring the topographic data and position information of the high slope through a multi-source data acquisition means; step 2, constructing a high slope simplified physical model according to the high slope topographic data and the machine position information; 3, a CFD tool is used for flow field numerical simulation calculation, and according to the constructed high slope simplified physical model, the CFD tool is used for obtaining the wind speed distribution and turbulence intensity distribution conditions of the whole wind wheel face of the wind turbine generator; step 4, generating a target wind seed file by using a TurbSim tool; 5, establishing a high slope wind file library; step 6, calculating the dynamic response of the whole machine; and obtaining an accurate load result of the wind turbine generator under the high slope terrain. The accuracy of the simulation result is improved, and the safety, the power generation efficiency and the service life of the wind turbine generator are improved.

The invention relates to the field of pole and tower landslide disasters, in particular to a system and method for modeling, simulating and monitoring pole and tower landslide disasters based on an unmanned aerial vehicle. The complex terrain around the pole tower is monitored by means of unmanned aerial vehicle operation modeling, ground disaster hidden danger identification, three-dimensional monitoring and early warning, hidden danger dynamic prevention and control and the like. The reliability and effectiveness of the method are verified by carrying out a large number of tests on towers under different topographic conditions, the dependence on hardware in the embedded software testing process is reduced, and comprehensive real-time monitoring of topographic changes and accurate identification of landslide signs are realized. According to the invention, the monitoring and early warning capability of tower landslide disasters is obviously improved, and safe and stable operation of a power system is powerfully guaranteed.

The invention discloses a vital sign monitoring method based on multilayer variational mode decomposition and reconstruction, which comprises the following steps: sending a radar microwave signal to a target human body, receiving a path of returned radar microwave reflection signal, and extracting frequency domain characteristics of the radar microwave reflection signal; judging whether the current human body is in a resting state or not according to the radar microwave reflection signals, and if so, extracting the radar microwave reflection signals in the resting state; carrying out respiratory signal and heart rate signal separation reconstruction on the radar microwave reflection signal in the resting state to obtain a reconstructed respiratory signal and a reconstructed heart rate signal; phase data of the reconstructed respiration signals and the reconstructed heart rate signals are extracted respectively, wavelet transformation is conducted on the phase data of the respiration signals and the phase data of the heart rate signals respectively, respiration phase characteristics and heart rate phase characteristics are obtained, and the respiration frequency and the heart rate are calculated according to the respiration phase characteristics and the heart rate phase characteristics.

The invention discloses a hot upflow positioning method based on data driving. For a long time, unmanned aerial vehicles are always indispensable in the industries of monitoring tasks, geographic surveying and mapping, target reconnaissance and the like. Flight endurance is a key limit for wide use of unmanned aerial vehicles. However, although researchers effort to modify and optimize the aerodynamic shape to reduce glider drag or replace battery reactants, use of these methods to increase flight endurance still has limitations. The invention aims to utilize the energy of the nature by collecting wind energy. According to the method, upflow estimation is considered, and then the position of the wind field is estimated through a sparse recognition algorithm of nonlinear dynamics. The thermal positioning is realized through the SINDy-based method and the characteristic of accurately identifying the mathematical physical specification model, so that the capability of identifying the hot upflow is improved, and the energy of the aircraft is increased.

The invention discloses a voltage first traveling wave characteristic-based flexible DC line single-ended protection method and system, and the method comprises the steps: collecting fault voltage and current signals, judging whether the fault voltage and current signals meet a starting criterion standard or not, and building a voltage first traveling wave mathematical model under internal and external faults based on the collected signals if the fault voltage and current signals meet the starting criterion standard; introducing a tangent envelope area ratio k into the voltage first traveling wave mathematical model to represent attenuation characteristics of the voltage first traveling wave; analyzing the relation between the tangent envelope area ratio and the transition resistance and the fault position based on the tangent envelope area ratio; and comparing the tangent envelope area ratio with a setting value, and judging internal and external faults. A voltage first traveling wave tangent envelope area ratio is adopted to represent waveform morphological characteristics, and internal and external identification criteria are constructed. The method is not influenced by transition resistance in principle, can quickly and reliably identify a fault area, has relatively high sensitivity to a high-resistance fault, and has certain noise interference resistance. The method can be used for main protection in a flexible direct-current power transmission system.

The invention discloses a hydrodynamic simulation-based seabed energy dissipation net offshore wind power pile foundation scouring protection test method for reciprocating flow, which comprises the following steps of: analyzing geographic characteristics of radiation sand ridge groups of south and yellow sea, and collecting and measuring sediment samples to obtain sediment data; a mathematical model of the influence of reciprocating flow, waves and tides on pile foundation scouring is established based on the fluid dynamics principle; constructing an energy dissipation network physical model; according to geographic features and sediment data, the mathematical model S2 and the physical model S3 of the energy dissipation network are used for simulation; taking a mathematical model result as a test boundary condition, carrying out a water tank test according to similar water flow movement and similar sediment movement, and carrying out the water tank test; the simulation data and the water tank test data are compared, and the pore size of the energy dissipation net, the material characteristics and the distance between the energy dissipation net and the pile foundation are adjusted according to the water tank test data; according to the method, through combination of modeling simulation and a water tank test, the pore structure and material characteristics of the energy dissipation net and the distance between the energy dissipation net and the pile foundation are optimally designed.

The invention relates to the technical field of network security, in particular to a method, a system and equipment for processing virus characteristic data. The method comprises the following steps: configuring a virtual sandbox virtualization layer, initializing a running environment, setting monitoring parameters, verifying environment isolation and a running state, and generating virtual sandbox running data; acquiring virus sample data, and loading the virus sample data to the virtual sandbox to obtain sample initial state data; according to the sample initial state data and the virtual sandbox operation state data, virtual sandbox operation parameters are configured, a monitoring probe is deployed, and virtual sandbox probe deployment data are obtained; a behavior acquisition channel is established based on virtual sandbox probe deployment data, and a behavior data acquisition model is constructed. According to the method, the virus sample behavior analysis is carried out by constructing the virtual sandbox environment, the virus feature recognition process is optimized by combining feature extraction, dimension reduction and clustering analysis, and the virus detection efficiency, accuracy and real-time response capability are improved.

The invention provides a mechanical product assembly performance simulation uncertainty analysis method. According to the method, the influence of each uncertainty influence factor on the assembly performance in different links of the simulation process is considered, the uncertainty influence factors in the simulation process are divided into two types, and quantitative analysis of uncertainty is carried out respectively. The first class comprises a measurement link, a modeling link and a simulation analysis link in the early stage of simulation, and the influence factors of the class can be used for directly calculating the uncertainty u or error; the second type of influence factors are external loads, boundary conditions and assembly performance uncertainty caused by non-linear links caused by process parameters mainly including geometric error distribution, and for the type of influence factors, the method combines optimal SVR proxy model construction and Sobol global sensitivity analysis on the basis of a simulation analysis result of a physical digital twinborn model, so that the assembly performance uncertainty caused by the non-linear links caused by the process parameters mainly including the external loads, the boundary conditions and the process parameters mainly including the geometric error distribution is obtained. And quantitatively analyzing the sensitivity of the assembly performance to the process parameters. In conclusion, the method provides guidance for the product assembly process.

The invention belongs to the technical field of battery box body welding, and discloses a water-cooling battery box body applying an FSW welding technology, the water-cooling battery box body comprises an aluminum alloy box body, the aluminum alloy box body comprises an upper shell, a lower shell, a fixed side skirt and a predetermined welding groove, the upper shell and the lower shell are symmetrically arranged up and down, and the upper shell and the lower shell are symmetrically arranged up and down; a fixed side skirt is integrally formed on the outer side faces of the ends, close to each other, of the upper shell and the lower shell. According to the method, the battery box is fixed through the clamp made of steel, the bolts and the positioning pins, displacement in the welding process is effectively prevented, the welding precision and stability are guaranteed, meanwhile, fine adjustment is conducted on welding parameter setting, including the rotating speed of a welding tool, the feeding speed, the diameter of the tool, the shoulder width of the tool and the like, and welding quality is improved. Therefore, the uniformity of the welding process and the quality of a welded joint are ensured. In the welding process, preheating treatment and reasonable welding sequence and welding position planning are adopted, and the welding efficiency and the joint quality are further improved.

The invention provides a multi-source data-based total element tower model automatic matching method and system, a computer readable storage medium and electronic equipment, and relates to the technical field of tower modeling. Comprising the steps of obtaining point cloud tower data, and extracting tower contour features as first contour features; obtaining visible light tower data, and extracting tower contour features as second contour features; fusing the first contour feature and the second contour feature to obtain tower feature information, and establishing a tower attribute file; the method comprises the following steps: obtaining tower drawings of different voltage grades and different types, manufacturing a total-factor tower model comprising a tower head, a tower body and tower legs according to the drawings, and constructing a total-factor tower model library; and matching tower elements in the total element tower model library based on the tower attribute file information, and realizing three-dimensional vectorization modeling of the tower based on the successfully matched tower elements. According to the method, the tower three-dimensional vectorization modeling can be finely realized, and the precision and efficiency of tower three-dimensional vectorization modeling are improved.

According to the power distribution network state estimation fusion strategy based on the maximum correlation entropy criterion, compared with a basic weighted least square estimation method, the maximum correlation entropy criterion is adopted, and an objective function is established; applying a state estimator based on the maximum correlation entropy criterion to the state estimation of the power distribution network according to the maximum correlation entropy criterion in combination with an adjustable Parzen window; on the basis of a traditional measurement system, a phasor measurement system is fully utilized, a hybrid estimation structure is adopted, results obtained through estimation of two kinds of measurement data are subjected to fusion processing, and therefore an optimal estimation value is obtained; an algorithm based on a maximum correlation entropy criterion and a fusion structure are combined to be used for state estimation of the power distribution network, and simulation analysis is carried out on an improved IEEE33 node power distribution network system. According to the power distribution network state estimation method based on the maximum correlation entropy criterion, a mixed two-stage evaluation system structure is utilized at the same time, and high-quality phasor measurement is fully utilized on the premise that state estimation measurement data which is widely used is guaranteed.

The invention relates to the technical field of research of reactor fuel irradiation, in particular to a fuel power calibration method for a loop irradiation test, which comprises the following steps: carrying out an out-of-reactor hydraulic test, and establishing a high-precision CFD (computational fluid dynamics) model of a fuel loop irradiation device based on a hydraulic test result; calculating the gamma heat release rate ratio of each material and the total heat release in the test section, and preliminarily determining the nuclear power value of the fuel assembly; based on the heat conduction differential equation and the convective heat transfer equation, the gamma heat release rate of the material and the nuclear power value of the fuel assembly are corrected; repeating the calculation process of S3 until the nuclear power value of the fuel assembly converges, and obtaining the final theoretical calculation value of the gamma heat release rate of each material and the nuclear power of the fuel assembly; and further verifying the calculation result to finally obtain the nuclear power of the fuel core body, and obtaining the burnup of the fuel assembly in the irradiation test through time integration. The method aims to solve the technical problem that the nuclear power of the fuel assembly calculated based on thermotechnical measurement data in a loop irradiation test has deviation compared with an actual value.

The invention relates to a method for analyzing and evaluating cost reduction and efficiency improvement performance of additional damping measures of a wind power support structure, which comprises the following steps of: respectively calculating steel consumption cost of corresponding unit life according to different design schemes; comparing the steel consumption cost of unit life corresponding to different design schemes, and screening out the design scheme with the optimal cost-reducing and efficiency-increasing performance; and performing upper and lower limit estimation of the cost benefit on the screened design scheme by adopting the normalized cost benefit. Compared with the prior art, the method has the advantages that the prolonging effect of the vibration reduction measure on the fatigue life is quantified and is combined with the steel consumption change brought by the vibration reduction measure, the cost-reducing and efficiency-increasing effect is analyzed by calculating the steel cost required by the unit fatigue life, and the steel consumption per unit life is used as an evaluation index; by means of the method, all constraint damping schemes can be compared under the unified scale, redesign of an original tower in the damping scheme comparison and selection stage is avoided, and therefore rapid evaluation and optimization in the scheme design stage are facilitated.

The invention relates to the field of solid-state batteries, in particular to a halide electrolyte, a preparation method and a solid-state battery. The halide electrolyte comprises a tin element, and the chemical formula of the halide electrolyte is Li2Zr < 1-x > Sn < x > Cl < 6-4x > O < 2x >, and x is less than or equal to 0.3. Through tin-oxygen co-doping, force is exerted at the same time from the two aspects of crystal structure (bulk phase) and interface chemistry, the key problems of ionic conductivity, electrochemical stability, interface compatibility and the like are cooperatively solved, the cost and the process are perfectly considered, and an all-solid-state battery electrolyte solution with a great commercialization prospect is provided.

The invention belongs to the technical field of valve sealing element coating and plating processes, and discloses a special valve hard sealing element dissimilar material coating and plating process which comprises the following steps: S1, surface pretreatment; s2, coating of a bottom layer coating; s3, coating of an intermediate coating; s4, coating of a top layer coating; s5, quality detection and control; the surface pretreatment comprises cleaning, mechanical treatment, acid pickling and passivation, the coating of the bottom coating comprises nickel plating treatment and chromium plating treatment, the coating of the middle coating comprises ceramic coating and coating curing, and the coating of the top coating comprises tungsten carbide coating and coating heat treatment. The quality detection and control comprises coating thickness testing, adhesive force testing, corrosion resistance testing and wear resistance testing. According to the method, a compact and hard ceramic coating is formed through curing treatment, so that the high temperature resistance of the sealing element is improved, and the wear resistance and corrosion resistance of the sealing element are further enhanced.

The invention discloses a construction method and application of an HPLC (High Performance Liquid Chromatography) standard fingerprint spectrum of Gaoguaping capsules, and belongs to the technical field of quality control of traditional Chinese medicine preparations. According to the construction method of the HPLC standard fingerprint spectrum of the Gaoguaping capsule, multiple active ingredients in the capsule are accurately separated and detected through a high performance liquid chromatography technology in combination with gradient elution and specific chromatographic conditions. The constructed standard fingerprint spectrum contains 23 common peaks and 13 characteristic fingerprint peaks, and can ensure the consistency and stability of different batches of capsules. The fingerprint spectrum can be used for quickly and accurately judging the quality of capsules and improving the detection efficiency. In addition, the fingerprint also reveals the distribution of each medicinal material component in the fingerprint, and a clue is provided for medicinal material traceability and quality control. The method has the advantages of being simple, efficient and good in repeatability and stability, can be used for quality control and product quality identification of the Gaoguaping capsules, and provides effective guarantee for clinical application.

The present application relates to the field of sea ice detection technology, and in particular to a method and device for estimating the thickness of sea ice based on GNSS reflection remote sensing technology, wherein the method comprises: collecting target data of a ship during navigation in a target sea area, wherein the target data comprises real-time GNSS data, hull height, antenna height and ship draft; obtaining the dynamic sea surface height difference of the target sea area based on real-time GNSS data; estimating the sea ice thickness of the target sea area based on the hull height, antenna height, ship draft and dynamic sea surface height difference. Thus, the problems in the related technology that the ice core drilling method has spatial limitations, the real-time performance of satellite remote sensing data in polar regions is poor, and the ship-borne sea ice camera technology is easily affected by weather are solved.

The invention relates to a BD-RIS-based auxiliary satellite RSMA system safety performance improvement method. The method comprises the following steps of: decomposing information to be transmitted into a public stream and a private stream by using an RSMA technology according to a cascade channel coefficient from a satellite to a legal user and an illegal node, and calculating a receiving signal-to-noise ratio of the two parties so as to obtain a public stream communication rate and a private stream communication rate of the legal user and an eavesdropping rate of an eavesdropper. And constructing a target function according to the rates, and establishing a BD-RIS reflection coefficient and satellite emission beamforming vector optimization model in combination with a preset loss function. And solving by adopting a double-circulation PDD algorithm, splitting the problem through a BCD method, processing non-convexity through SCA, firstly relaxing symmetric unitary constraint of a reflection coefficient matrix, and then projecting to obtain an optimized vector and matrix. By adopting the method to calculate the system security transmission rate, the security performance is enhanced.

The application belongs to the technical field of fluorescent probe detection, and discloses a bimetallic nanocluster fluorescent probe compound and application thereof in preparation of a product for rapidly detecting acetylene. The fluorescent probe compound is a gold-copper bimetallic nanocluster solution modified by adamantane thiol, which is used as a fluorescent probe for acetylene detection. The solution has a clear and controllable preparation process. Through specific proportioning and reaction conditions of cuprous chloride, adamantane thiol, tetrachloroauric acid, sodium borohydride and other reagents, a probe solution with stable fluorescence characteristics can be prepared. The bimetallic nanocluster fluorescent probe compound is applied in preparation of a product for rapidly detecting acetylene. Through specific combination of fluorescent molecules and acetylene gas to trigger the secondary effect of fluorescence quenching, detection is realized, and other substances cannot trigger quenching. At a wavelength of 700 nm, the linear relationship (R 2 >0.99) between the fluorescence intensity and the acetylene concentration realizes accurate quantification of the acetylene concentration, and the minimum detection limit is 0.026 muL / L.

The invention belongs to the technical field of semiconductor material detection, and particularly relates to a method for identifying a polar surface of a tellurium-cadmium compound crystal (111). The method comprises the steps that S1, cutting is conducted along the face of a tellurium-cadmium compound crystal ingot (111), and the cut face is ground and polished to be flat; s2, cleaning the surface of the sample; s3, putting the cleaned sample into a KOH aqueous solution for treatment, then taking out the sample, and washing off KOH residual liquid; s4, the sample washed in the step S3 is put into a 10%-15% H2O2-NH4F solution to stand for 5-10 min, and then residual liquid is washed away; d5, the color of the surface of the sample washed in the step S4 is observed, and if it is observed that the surface of the sample is black, it is judged that the surface is the (111) A face of the cadmium telluride or cadmium zinc telluride sample; and if the surface of the sample is observed to be colored, judging that the surface is a (111) B surface of the cadmium telluride or cadmium zinc telluride sample. According to the method disclosed by the invention, the (111) A surface and the B surface of the tellurium-cadmium compound crystal can be distinguished in a relatively short time, and are easy to observe.

The utility model discloses a kind of automobile air conditioner valve test equipment, it is related to valve testing equipment technical field.Like water mechanism, including water tank, water storage tank, the circulating water pump being set on the water storage tank;Product limiting mechanism, including L type support frame, the limiting frame being set on the L type support frame, the moving plate between the limiting frame and L type support frame is set.In use, the inlet pipe of product extends to the inside of several elastic plates in sealing test mechanism, sealing electric push rod, sealing outer ring, sealing gasket and several elastic plates are sealed to the connecting pipe and the connecting place of product inlet pipe by cooperation, avoid sealing gasket directly with product inlet pipe end port position contact, guarantee the sealing effect between equipment and product, again can avoid broken sealing gasket into the inlet pipe of product, effectively solve the problem that traditional equipment exists broken rubber residue stagnates in valve body inner cavity, causes subsequent assembly pollution or flow passage blockage.

The invention discloses a preparation method of a preservative film containing rosemary essential oil, which comprises the following steps: step 1, extraction and purification of rosemary essential oil, step 2, microencapsulation of rosemary essential oil, step 3, preparation and optimization of a spinning solution, step 4, preparation of a nanofiber preservative film by electrostatic spinning, and step 5, performance detection and application evaluation. According to the preparation method, through extraction and purification of rosemary essential oil and microencapsulation, ethylene removal, antibiosis and antioxidation are achieved, the shelf life of food is effectively prolonged, freshness and nutritional value are kept, low-cost and high-environmental-protection materials are adopted, the production cost is reduced, environmental pollution is reduced, the preparation process is simple and efficient, the production efficiency is improved, and the method is suitable for industrial production. And meanwhile, through strict detection, it is ensured that the product is safe and reliable.

The invention relates to the field of analysis and detection, in particular to a method for detecting the content of chlorine in trimethylaluminum, which comprises the following steps: S1) mixing trimethylaluminum solution to be detected and an alcohol solution of alkali in a protective gas atmosphere to obtain intermediate sample solution; in the alcoholic solution of the alkali, the alkali is selected from at least one of potassium hydroxide or sodium hydroxide, and the alcohol is selected from at least one of methanol or ethanol; and S2) carrying out titration detection on the intermediate sample solution by adopting a silver nitrate solution to obtain the chlorine content in the trimethylaluminum. The detection method provided by the invention is a new detection means added relative to the existing detection means, and the method is simple to operate and good in repeatability. The adding standard recovery rate is 94.80%-109.41%, the accuracy and precision requirements of the method are met, and the stability and reliability of the detection method are verified. According to the method for detecting the chlorine content in the trimethylaluminum, the experimental process is safe and controllable, and the price of required instruments is relatively low.

The invention discloses an optical fiber coil defect detection and type identification method and system based on deep learning, a medium, equipment and a program, and belongs to the technical field of deep learning target detection. The method comprises the steps that optical fiber coil data are collected and preprocessed, and an optical fiber coil image data set is obtained; and inputting the optical fiber coil data set into a pre-trained target detector based on deep learning to carry out defect detection and type identification so as to obtain a defect detection and type identification result. According to the method, the deep learning technology is applied to defect detection and type identification of the guidance optical fiber coil, high-accuracy identification of tiny defects can be achieved, the automation level of the detection process can be remarkably improved, and the labor cost is reduced.

The invention discloses an anti-static and anti-abnormal-sound coating for a durable automobile sealing strip and a preparation method of the anti-static and anti-abnormal-sound coating in the field of functional coating materials. The coating is prepared from hydroxy acrylic resin, two special functional fillers, auxiliaries and a solvent. Wherein the vinyl functionalized polypyrrole-silver nanowire hybrid conductive fiber provides a lasting static dissipation path, and the epoxy siloxane grafted perfluoropolyether solid lubricating particles provide long-acting lubrication through chemical bonding so as to eliminate abnormal sound. When the coating is prepared, the resin and the adhesion promoter are dissolved in the mixed solvent to form a resin liquid, then the two functional fillers and the lubricating additive are added after being pre-dispersed, and finally the mixture and the cross-linking agent are mixed and cured. The coating is firmly attached to the surface of the sealing strip through chemical bonding and endows the sealing strip with stable and lasting anti-static, noise-reducing and wear-resisting performance, and the process is simple and convenient and suitable for large-scale production.

The invention discloses an SERS (Surface Enhanced Raman Scattering) flexible sensor based on dual-ion modification as well as a preparation method and application of the SERS flexible sensor, and belongs to the technical field of biomedical detection. A bacterial cellulose membrane (BCM) is used as a base material, cation modification (QBCM) is carried out through glycidyl trimethyl ammonium chloride (EPTMAC), anion modification (TABCM) is carried out through tannic acid (TA), a functional substrate with asymmetric charge distribution and a porous structure is constructed, then Ag NPs are loaded on the modified base material through an in-situ reduction method, the QBCM-coated AgNPs and TABCM-coated AgNPs dual-ion active substrate is formed, and the AgNPs / TABCM-coated AgNPs dual-ion active substrate is used for preparing the composite material. The SERS flexible sensor is integrated through a layer-by-layer self-assembly (LbL) technology; the SERS flexible sensor can realize specific enrichment and synchronous detection of anionic kynurenic acid (KYNA) and cationic spermine (Spm) in urine, and is low in detection limit and good in reproducibility.

The invention discloses a method for constructing a multi-scale lightweight densely connected target detection network, data preprocessing; constructing a multi-scale lightweight target detection neural network; using the processing result to train and test the constructed neural network; the invention uses the PASCAL VOC 2012 data set to verify the reliability of the network, and the mAP of the final network is almost the same as YoloV4, only reduced by 1.5%, and improved by 5% compared with YoloV3. The parameter amount of the network model trained by the invention is compressed to 11.61M, which is reduced to 1 / 6 of YoloV4; the total calculation amount Total Flops is reduced to 1.13G, which is reduced to 1 / 26 of the original; the total memory usage is reduced to 135.46M, which is reduced to 1 / 5 of YoloV4, and the real-time speed is improved by 32 times, which increases the possibility of deploying the target detection method in embedded devices and mobile devices with limited computing resources.

The invention relates to the technical field of direct-current fans, and discloses a direct-current fan and a serialization design method.According to the direct-current fan and the serialization design method, general electromagnetic structure design of a series of direct-current fans is conducted through electromagnetic simulation optimization, magnetic steel surface magnetism is analyzed through a static magnetic field to determine the magnetic steel machining magnetizing inspection standard, and a boss in a shaft sleeve is adopted for replacing a clamping ring for limiting; a low-cost and standardized direct-current fan series structure is formed, and only the required performance output corresponding to the number of turns of the winding needs to be adjusted, so that low-cost and quick-response series product development is realized.

The application discloses a kind of asphalt concrete panel temperature dissipation rate testing device and method under big wind environment, device includes simulation test device and in-situ testing device;Method includes the following steps: one, pours asphalt concrete test block;Two, adjust temperature compensator;Three, set up big wind environment;Four, acquisition asphalt concrete test block during the formation process multiple sets of key parameters;Five, change big wind environment and obtain multiple sets of key parameters;Six, obtain multiple sets of key parameters in the formation process of asphalt concrete test block under a variety of different big wind environment;Seven, fitting temperature dissipation rate calculation model of the asphalt concrete type required in construction site;Eight, cast in place asphalt concrete panel and pre-embed multiple third temperature sensors located at different heights;Nine, using in-situ testing device to test asphalt concrete panel temperature dissipation rate under the big wind environment of field. Obtain temperature dissipation rate by fitting temperature dissipation rate calculation model, provide technical support for asphalt concrete temperature control and crack prevention.

The invention relates to the technical field of substations, and discloses an intelligent substation flexible configuration visual modeling analysis system which comprises a control center, a visual modeling module, a network topology modeling module, a flow model parameter setting module, a link flow management module, a flow visualization module, a link network time delay analysis module and an inspection module. The control center is respectively connected with the visual modeling module, the network topology modeling module, the flow model parameter setting module, the link flow management module and the link network delay analysis module, the link flow management module is also connected with the flow visualization module, and the control center is connected with the inspection module through the server. According to the method, visual modeling analysis is provided for intelligent substation equipment configuration modeling, flow model parameter setting, network topology modeling and link flow simulation monitoring, the problem of network delay is solved, the substation network structure is optimized, the stable operation level of substation equipment is improved, and technical support is provided for substation fault analysis.