8464results about How to "Simple design" patented technology

An intravascular ultrasound (IVUS) device includes a flexible, slender member having a proximal portion and a distal portion; a controller connected to the distal portion of the flexible, slender member; an ultrasound transducer disposed at the distal portion of the flexible, slender member and communicating with the controller; a pressure transducer disposed at the distal portion of the flexible, slender member and communicating with the controller; and a plurality of conductors extending from the controller to the proximal portion of the catheter, at least one of the plurality of conductors being configured to carry a signal representing information captured by the ultrasound transducer and information captured by the pressure transducer.

The invention discloses a battery energy recycling method for an underwater robot, and the method comprises the steps: integrating the equipment state and environment data of the underwater robot, screening the data through a particle filtering algorithm, capturing the depth information of an underwater environment in real time, collecting the material attribute of a battery and an energy transmission efficiency parameter, and recognizing the parameter through a k-means clustering algorithm. The method comprises the following steps: constructing constraint conditions of an energy recovery network, constructing an energy recovery network topology model according to energy loss information and node layout, obtaining an optimal path by applying an Euleran path algorithm, determining an arc curvature by adopting a non-dominated sorting genetic algorithm, dynamically updating topology model parameters, obtaining an optimized energy recovery arc, and constructing an arc optimization mechanism. A logistic regression algorithm is used for scoring arcs and identifying efficient nodes, an Apriori association rule mining algorithm is used for simplifying a network topology structure, calculating structural differences and updating a model, a fitness function algorithm is used for monitoring the network state and energy loss in real time, and the transmission efficiency is evaluated.

The invention belongs to the technical field of Linux kernel schedulers, and particularly relates to a Linux kernel scheduler parameter optimization system and method.The Linux kernel scheduler parameter optimization system comprises a data collection module, a large model training and optimization module, a kernel scheduler module, a code generation and verification module, a small model training module and a small model reasoning module; the large model is responsible for periodically providing a visual angle of global optimization, generating an initial weight and a scheduler prototype of the small model, extracting a rule from long-term accumulated data, and ensuring that an optimization strategy has a global visual field. Meanwhile, the small model serves as a local adapter to process the dynamic scheduling requirement of a kernel mode in real time. The layered optimization mechanism can balance short-term adaptability and long-term performance improvement.

The invention discloses a multi-physical field coupling simulation analysis method and system for power business, and relates to the technical field of power business environment change analysis, and the method comprises the following steps: 1, obtaining physical field data of a power business scene, the physical field data comprising a temperature field, a stress field, a displacement field, a magnetic field and an electric field of power equipment; and step 2, carrying out coupling calculation on the physical field data by using the multi-physical field simulation model, according to the multi-physical field coupling simulation analysis method and system for the power business, through coupling and building of different models in the multi-physical field simulation model, coupling simulation of power equipment in a complex multi-physical field environment can be realized, and the coupling simulation efficiency is improved. The simulation model can accurately predict dynamic changes of multiple physical fields such as electromagnetism, heat effect and mechanical stress of the equipment, help to optimize design and operation strategies of the power equipment, and improve reliability and safety of the equipment.

The invention relates to the field of electric meter box monitoring, and discloses an anti-electricity-stealing method and system for an intelligent electric meter box, which is used for solving the problem of false alarm caused by harmonic interference when anti-electricity-stealing early warning is carried out, and comprises the following steps: collecting time domain signals of current and voltage in the intelligent electric meter box in a historical detection time period; converting the time domain signal into a frequency domain signal, extracting harmonic information of each harmonic, and establishing a normal harmonic feature model to obtain a target harmonic range; the method comprises the following steps: acquiring time domain signals of current and voltage in an intelligent electric meter box in real time, extracting harmonic information, performing filtering processing according to a target harmonic range, performing first abnormality judgment by using an abnormality detection algorithm, performing multi-parameter joint evaluation if abnormality is judged for the first time, and performing second abnormality judgment according to a multi-parameter joint evaluation result. And electricity larceny early warning is carried out according to the second abnormal judgment result, so that false alarm and missing alarm are effectively reduced, and the adaptability of the system to a complex electricity larceny mode is remarkably enhanced.

The invention relates to the technical field of building design, and discloses a BIM (Building Information Modeling) creation method based on a parameterization technology, which comprises the following steps: obtaining building project parameters, setting parameterization rules, generating a parameterization model framework, optimizing multi-level parameters, generating an intelligent BIM, verifying and simulating a model and automatically generating a construction scheme. According to the BIM creation method based on the parameterization technology, through collection of multi-dimensional parameter information, intelligent rule optimization, a multi-target optimization algorithm, comprehensive simulation verification and automatic construction scheme generation, high customization, real-time environment adaptability, intelligence and efficient cooperation of building design are achieved. According to the method, the design efficiency and quality are improved, and the optimal performance of the building in the aspects of structure, material, energy efficiency, construction and the like is ensured. Through the application of the block chain technology, the system further guarantees the security and transparency of the data, and guarantees the traceability and consistency of the design process.

The invention provides an electric engine, a control method, a related device, a motor controller and an aircraft, and relates to the technical field of aircrafts. The electric engine comprises a power motor, a heat dissipation system and a control module, a cavity is formed in the power motor, the control module is integrated in the cavity, the space occupied by the electric engine is reduced, and therefore the size of the aircraft is reduced; the control module comprises at least three integrated driving modules, part of the driving modules are electrically connected with the power motor so as to control the power motor, part of the driving modules are electrically connected with a variable pitch motor of the propeller so as to control the variable pitch motor, and part of the driving modules are electrically connected with a heat dissipation motor in the heat dissipation system so as to control the heat dissipation motor. The performance and efficiency of the electric engine are improved through unified integrated control over the power motor, the heat dissipation motor and the variable pitch motor. And through a unified control architecture, the system design is simplified, the development and maintenance cost is reduced, and the maintainability of the electric engine is improved.

The invention relates to the technical field of robots, and discloses a leg structure and a humanoid robot. A motor template; the hip joint assembly is mounted on the thigh bracket and comprises a rotary mounting frame which is in assembly connection with the motor template; the first end of the hip linear actuator is rotationally connected with the thigh support, and the second end of the hip linear actuator is connected with the hip joint assembly; the shank support is connected with the lower portion of the thigh support through a knee joint assembly; the knee joint linear actuator is arranged on the thigh support, and the driving end is connected with the knee joint assembly; the foot support is connected with the lower portion of the shank support through an ankle joint assembly; the first end of the ankle linear actuator is rotationally connected with the shank support, and the second end of the ankle linear actuator is rotationally connected with the foot support. According to the humanoid robot, the corresponding linear actuators are arranged on the thigh support and the shank support, the space on the thigh support and the space on the shank support are fully utilized, the inertia of the leg structure is reduced, the response speed is high when the leg structure conducts corresponding actions, and the dynamic stability of the humanoid robot is improved.

The invention relates to the field of high-voltage direct-current power transmission, and aims to provide an MMC converter valve and method for realizing alternating-current and direct-current fault ride-through based on an energy consumption sub-module. On the basis of a topological structure of a conventional MMC converter valve, M energy consumption sub-modules which are sequentially connected in series and are the same in structure are arranged between a bridge arm inductor of each bridge arm and the midpoint of an upper bridge arm and the midpoint of a lower bridge arm, and each energy consumption sub-module comprises a main through-flow branch, an energy consumption branch and a bypass loop which are connected in parallel; in the main through-current branch, the half-controlled switching device T1 is reversely connected in parallel with a fly-wheel diode D1 of the half-controlled switching device T1, and then is reversely connected in series with the full-controlled switching device T2 and a reverse fly-wheel diode D2 of the full-controlled switching device T2; the energy consumption branch comprises an energy consumption resistor Rd, and the bypass branch comprises a bypass switch K. According to the invention, alternating current fault ride-through and direct current fault ride-through are integrated into the topology of the MMC converter valve, so that the integration level of the protection scheme is improved; voltage fluctuation during alternating-current fault ride-through can be effectively smoothed, and the stability during alternating-current fault ride-through is improved.

The invention discloses a motor assembly, a thrust assembly and an aircraft, and relates to the technical field of aircrafts. The motor assembly comprises an outer rotor, one axial end of the outer rotor is a mechanical coupling end, and the other axial end of the outer rotor is an open end; at least part of the inner stator extends into the outer rotor from the open end to be rotationally connected with the outer rotor, and the inner stator is provided with a central shaft hole penetrating through the inner stator in the axial direction of the inner stator; the rear cover is arranged on the side, away from the mechanical connection end, of the inner stator so as to cover the central shaft hole. The cooling assembly is arranged on the side, away from the inner stator, of the rear cover; a part of the transmission assembly is arranged in the central shaft hole and is in transmission connection with the outer rotor, and the other part of the transmission assembly penetrates through the rear cover and is in transmission connection with the cooling assembly, so that the outer rotor drives the cooling assembly through the transmission assembly. According to the motor assembly, an independent driving assembly required by the cooling assembly is omitted, so that the overall weight of the motor assembly is optimized.

The invention discloses a diagnostic method for performance detection of a pressure sensor, and relates to the technical field of sensor equipment. Comprising the following steps: initializing a pressure sensor, sensitivity and response time under different pressures, dynamic response characteristics in a rapidly changing pressure environment, changes under different temperature conditions, anti-interference capability to external factors, long-time stability, and existence of non-linear errors and zero drift; and the overall performance of the pressure sensor is comprehensively evaluated. According to the diagnosis method, the dynamic response, the anti-interference capability, the temperature adaptability and the long-term stability of the sensor can be comprehensively quantified by setting the dynamic response characteristic model and multi-working-condition environment simulation. According to the method, neglected nonlinear dynamic behaviors in a traditional evaluation means can be captured, the potential performance problem of the sensor in a complex working environment can be effectively revealed, optimization design and application deployment are guided, and the reliability and precision of the sensor in an actual scene are remarkably improved.

The invention discloses a probe card simulation method and system based on counter-acting force analysis, which are used in the field of wafer simulation test, and the probe card simulation method comprises the following steps: integrating multiple physical field working conditions to construct a probe card geometric model, and importing the probe card geometric model into finite element simulation analysis software; carrying out grid division on the geometric model of the probe card by utilizing the hybrid voxel tree model, adjusting the grid density according to the distribution requirement of the multi-physical field, and setting a simulation boundary condition by utilizing a preset boundary condition template according to the actual simulation requirement; starting a simulation calculation process based on the adjusted grid density and simulated boundary conditions; and providing a visual interface of physical field distribution and a structural stress state in the simulation calculation process, and performing iterative optimization on the performance of the probe card in the simulation process according to a reactive force distribution result. According to the method, the grid density is automatically adjusted to adapt to changes of a physical field, and it is ensured that higher simulation precision is obtained in a key area.

The invention discloses a + / -800kV converter station lightning arrester insulation cooperation checking method considering multiple lightning strokes, and the method comprises the steps: S1, building a high-frequency electromagnetic transient simulation model according to the engineering practice and the high-frequency demands of lightning overvoltage simulation calculation; s2, multiple lightning stroke lightning current waveform parameters and lightning stroke time intervals are selected, and parameters capable of representing different frequencies of ground-to-ground lightning in the region where the research object is located are obtained; s3, simulating and analyzing residual voltage, current and absorbed energy of the lightning arrester at different positions of multiple lightning / multiple lightning shielding failure; s4, comparing and analyzing amplitude values of residual voltage, current and absorbed energy of the lightning arrester under single lightning stroke / multiple lightning stroke, and selecting a maximum value; and S5, proposing a lightning arrester configuration scheme, adjusting the type of the lightning arrester in the simulation model, and repeating the steps S3 and S4 to carry out secondary checking and adjustment. According to the method, a lightning arrester type selection scheme capable of effectively inhibiting single lightning overvoltage and multiple lightning overvoltage is provided, and the lightning accident rate of the lightning arresters in the converter station is reduced.

The invention belongs to the technical field of artificial intelligence and natural language processing, and discloses a persuasion skill-based automatic generation large model jailbreak prompt method. According to the method, multiple persuasion skills are combined with multiple persuasion skills such as logic persuasion, emotional persuasion and authoritative persuasion, so that the attack success rate is increased; and dynamically adjusting the attack strategy: adjusting the attack strategy in real time according to the attack progress and target model feedback, continuously optimizing the attack prompt, and adopting different jailbreak methods for different target large models. And finally generating a prompt which enables various large models to break prisons with high probability based on various persuasion skills and feedback of the target large model, and providing a new data set for security testing of the large models.

The invention relates to the technical field of power battery safety, in particular to a safety early warning method and device for a power battery, and the method specifically comprises the following steps: S1, marking a sample, and obtaining the basic information and operation data of the carried battery; s2, screening discharge condition data and cleaning the data; s3, setting a sliding window; s4, calculating an entropy value of voltage ranking of each monomer in each group; s5, calculating the entropy slope of the entropy of the voltage ranking of each monomer in each group along with the change of mileage, and preliminarily positioning the risk battery cell; s6, feature parameters of all samples are extracted and calculated; s7, training the model by adopting a random forest algorithm; and S8, collecting the data set marked as the to-be-evaluated vehicle data set, extracting the entropy slope of each battery cell of the to-be-analyzed battery, and judging an abnormal battery cell. According to the safety early warning method of the power battery provided by the invention, the abnormal single battery cell possibly having an internal short circuit risk can be identified in time, and the accuracy and reliability of safety early warning are improved.

The invention discloses a light-operated reconfigurable metasurface for full-space terahertz wave beam regulation and control, solves the problem of how to provide ubiquitous full-space wave beam coverage for multi-user wireless communication application, and belongs to the field of artificial electromagnetic metamaterials. The super subunit comprises N super subunits which are arranged periodically, each super subunit comprises 4 * 4 identical coding units, corresponding codes are '0' and '1' respectively when illumination exists or not, and the phase response difference of the two coding units at 0.7 THz is 180 degrees. Each super subunit comprises five layers, the third layer is used for switching between reflection and transmission, when vanadium dioxide is in a medium state, the super surface is in a transmission mode, and when vanadium dioxide is in a metal state, the super surface is in a reflection mode. The first layer, the second layer, the fourth layer and the fifth layer are used for controlling the amplitude and the phase of the total-space terahertz wave, the conductivity of the photosensitive silicon pattern is changed under excitation of light with different intensities, the phase of the total-space terahertz wave beam is effectively modulated, and one-bit terahertz information coding is achieved.

The invention relates to the technical field of building design, in particular to a low-carbon building design method based on a full life cycle. The method comprises the following steps: acquiring building material data; performing data preprocessing on the building material data to generate building material processing data; obtaining a building three-dimensional diagram and construction process data; performing material carbon emission coefficient calculation on the building material processing data to generate material carbon emission data; building a building dynamic process three-dimensional diagram by using the building three-dimensional diagram and the construction flow data, endowing material attributes by using building material data, endowing carbon emission by using material carbon emission data, and generating a three-dimensional dynamic carbon emission model; therefore, by constructing the full-life-cycle carbon emission three-dimensional dynamic model, the problem that in traditional building carbon emission evaluation, a static model is difficult to adapt to dynamic environment changes is solved, and the accuracy and real-time performance of building full-life-cycle carbon emission management are improved.

The invention provides a warning sound control method, device and equipment and a storage medium, which are applied to an audio signal processor configured in a system chip in a vehicle, and the method comprises the following steps: receiving the current gear and speed of the vehicle monitored by the system chip; a preset audio library is read according to the gear, a target audio file is obtained and cached to a preset buffer area, the gear and the sound source mode have a mapping relation, and the preset buffer area is arranged in the audio signal processor; matching tuning parameters in a target audio file according to the vehicle speed, determining a target tuning parameter, the target audio file comprising a target sound source and different tuning parameters, and the vehicle speed and the tuning parameter having a mapping relationship; and performing audio processing on the target sound source based on the target tuning parameter, and sending the processed sound source to a loudspeaker for playing so as to realize warning sound control. Therefore, the dynamic control of the vehicle warning sound is realized, different driving scenes can be adapted, the resource occupation of a system chip is reduced, and the hardware design is simplified.

The invention relates to the technical field of seat cushion framework detection, in particular to an automobile seat cushion framework fatigue test method and system. The method comprises the following steps: acquiring information data of an automobile seat cushion framework sample; performing skeleton key part screening on the automobile cushion skeleton sample information data to obtain skeleton key part screening data; performing sensor data acquisition on the automobile seat cushion framework sample based on the framework key part screening data to obtain stress sensor acquisition data and deformation sensor acquisition data; and carrying out loading mode design on the information data of the automobile seat cushion framework sample to generate fatigue loading mode data of the automobile seat cushion framework. According to the invention, the accuracy and reliability of the fatigue test of the automobile seat cushion framework are improved by accurately screening key parts of the framework, designing a real loading mode, deeply detecting damage, predicting the service life and optimizing materials.

The invention relates to the technical field of battery module assembly, in particular to a battery cell surface laser cleaning line and a laser cleaning method.The battery cell surface laser cleaning line comprises a main conveying line, a conveying trolley, a polar column surface texturing mechanism, a turnover mechanism, a narrow surface texturing mechanism, a bottom surface texturing mechanism, a wide surface texturing mechanism, a first guide plate and a second guide plate; the conveying trolley comprises a bottom frame movably installed on the main conveying line, a carrier arranged over the bottom frame, a rotating assembly installed in the middle of the top end of the bottom frame, side protection plates arranged on the front side and the rear side of the carrier in a mirror image mode, and a lifting assembly installed at the bottom of the carrier. The first guide plate is mounted on the rear side of the main conveying line and transversely extends between the polar cylindrical surface texturing mechanism and the bottom surface texturing mechanism so as to drive the rotating assembly to rotate, and the second guide plate is mounted on the front side of the main conveying line and transversely extends in the wide surface texturing mechanism so as to drive the lifting assembly to ascend and descend; the device is simple in structural design and process steps, low in input cost and automatic in the whole process, and the cleaning quality can be guaranteed and stable.

The invention discloses a fiber reinforced composite material multi-scale variable stiffness optimization method considering stress constraint, and relates to the field of fiber reinforced composite material multi-scale variable stiffness optimization design. According to the method, a normal distribution fiber optimization interpolation format is adopted to carry out interpolation on a fiber laying angle, and density filtering is applied to an angle design variable; the multi-scale variable stiffness optimization design of the fiber reinforced composite material is realized, and an optimization design result with continuous fibers is obtained; then, on the basis of a Tsai-Wu failure criterion of the composite material, a P-norm method is adopted for carrying out condensation on a large-scale unit stress constraint function, an explicit sensitivity formula of the stress constraint function to design variables is deduced, and fiber reinforced composite material multi-scale variable stiffness optimization design considering stress constraint is achieved. The problem that an existing method is difficult to optimize and solve is solved.

The invention relates to the technical field of performance simulation analysis, in particular to a performance simulation method of a power module. The method comprises the following steps: acquiring initial physical characteristic data and initial electrical characteristic data of a power module; the initial physical characteristic data and the initial electrical characteristic data are preprocessed and simulated, and physical field distribution characteristics in the power module are obtained; performing multi-physical field simulation analysis on the power module based on physical field distribution characteristics in the power module by using an adaptive grid generation algorithm and sparse matrix solution to obtain simulation result data; performing parameter adjustment and optimization on a simulation model of the power module according to the simulation result data to generate optimized simulation model parameter data; and according to the optimization simulation model parameter data, performing simplification processing on the design of the power module to establish a simplified model. Through multi-stage simulation and optimization, the performance and the control precision of the power module can be remarkably improved, and the stability and the efficiency of the system are improved.

The invention discloses a colorimetric and fluorescent dual-mode nano-enzyme sensor. The colorimetric and fluorescent dual-mode nano-enzyme sensor comprises nano-enzyme, hydrogen peroxide and a colorimetric probe, wherein the nano-enzyme is prepared from ZrCl4, 2-aminobiphenyl dicarboxylic acid and Cu (NO3) 2 by a one-pot method; the colorimetric probe is TMB, can oxidize colorless TMB into blue oxTMB, generates an ultraviolet absorption peak at 652 nm, and has a strong fluorescence emission peak at 405 + / -5 nm. The zirconium-based metal organic framework UiO-67-NH2 with high stability is used as a carrier, Zr < 4 + > sites are replaced by part of Cu < 2 + >, the fluorescent nano-enzyme with peroxidase activity is formed, and the problems that free enzyme is difficult to recover, the stability is low and the like are solved.

The invention provides a multi-core AMP architecture inter-core communication method and system based on a high-security embedded real-time operating system, and the method comprises the steps: respectively operating an authentication version of a Quhua high-security embedded real-time operating system on an AMP heterogeneous multi-core platform, and guaranteeing the real-time performance of a task while providing functional security. And two driving interface mechanisms of IPC Not ify and IPC RPMsg are provided, so that the real-time performance of inter-core communication of the multi-core AMP architecture is improved. The IPC Not ify transmits messages based on the HW mailbox of the HW fifo and interrupts the receiving of core messages, and has low time delay; and a heterogeneous multi-core synchronization function is supported, so that a user does not need to concern the starting sequence of the AMP heterogeneous multi-core system and mainly focuses on development of inter-core communication application programs of the user. The IPC RPMsg provides a two-way communication link based on a channel between the cores, and supports large data volume communication interaction between the cores. A universal shared memory area is configured, and a spinlock technology is adopted to synchronize multi-core operation and prevent multi-core access conflicts. A method for sharing the same physical device by multiple cores is provided, and the problem of insufficient device hardware resources is solved.

The invention relates to the technical field of building information management, in particular to a water conservancy project BIM model optimization processing system based on lightweight and component integration, a graph structure construction module maps the geometric morphology and spatial relationship of components into nodes and edges based on component data of a BIM model, integrates parameter information of pipelines and supporting structure sub-projects in a water conservancy project, and provides a construction model for the water conservancy project. And establishing a topological relation among the nodes, and generating a graph structure model. According to the method, the component data in the water conservancy project BIM model is mapped into the graph structure, and the topological relation between the nodes and the edges is formed through fine analysis of the geometric morphology and the spatial relation. The data structure conversion enables the stress distribution analysis of the water flow path and the support structure to be more visual and efficient, and further optimizes the design and performance of the whole system. By screening key component groups and optimizing the groups, redundant connection is eliminated, and structural units with similar functions are integrated, so that the accuracy and the application efficiency of the model are improved.

The invention relates to the technical field of parallel robot control, in particular to a three-degree-of-freedom parallel robot control parameter adjusting method and system. The method comprises the following steps: carrying out end operation space analysis on the parallel robot, and carrying out work pose space optimization to obtain optimized operation space data; performing high-speed motion residual vibration feature extraction on the parallel robot by optimizing operation space data, and performing control parameter intelligent adjustment strategy processing to obtain an intelligent vibration control parameter adjustment strategy; performing real-time vibration monitoring on an end effector of the parallel robot to generate real-time end vibration characteristic data; and intelligent feedforward compensation control adjustment processing is performed on the real-time tail end vibration characteristic data through an intelligent vibration control parameter adjustment strategy, so that intelligent parameter adjustment control operation of the three-degree-of-freedom parallel robot is realized. Through intelligent vibration control parameter adjustment, the residual vibration of the parallel robot after high-speed movement is effectively inhibited, and the working efficiency is improved.

The invention discloses a parameter design method and device for an impedance correction device of a direct-current power transmission system, and the method comprises the steps: obtaining a voltage parameter and a harmonic parameter of an alternating-current system according to a constructed target direct-current power transmission system topology, and designing an amplitude-phase corrector parameter optimization model; in different operation modes, impedance characteristics of the alternating current and direct current system are obtained respectively; in response to the impedance characteristic, performing simulation through an amplitude-phase corrector parameter optimization model to obtain element stress of the amplitude-phase corrector in a corresponding fluctuation state; in the corrector configuration link, parameters of an amplitude-phase corrector are determined according to the voltage fluctuation ratio of the alternating current system and the operation power range of the direct current system, and the parameters are optimized based on element stress so as to configure the amplitude-phase corrector; and after the amplitude-phase corrector is configured, the corrector configuration link is repeated until the equivalent harmonic impedance of the direct-current power transmission system meets a preset system oscillation index. Harmonic oscillation in a direct-current power transmission system can be effectively reduced by optimizing parameters of the amplitude-phase corrector.

The invention discloses an oil pipeline simulation analysis system, relates to the technical field of oil pipelines, and provides accurate data support for subsequent dynamic monitoring and pipeline cleaning decision by constructing a three-dimensional visual model and identifying wax precipitation temperature and deposition risk in time. Through the risk identification module, the system can analyze and calculate the wax precipitation temperature based on the oil product attribute data obtained in real time, and timely judge whether the deposition risk exists in the oil pipeline or not. After receiving a dynamic tracking instruction, the dynamic analysis module can obtain the deposition thickness of each position in a pipeline in real time and analyze the influence of oil temperature and flow velocity changes on deposition distribution, the analysis provides important input data for the pipe cleaning module, the deposition thickness and a heat loss coefficient are fitted through a deep learning technology, and the deposition thickness and the heat loss coefficient are matched with each other. The system may automatically calculate a delivery stability score. When the conveying stability score exceeds a set threshold value, the system can automatically start a pigging measure execution mechanism.

The invention relates to the technical field of structure health monitoring and bearing capacity evaluation, and discloses a heat absorption tower hybrid structure dynamic detection bearing capacity evaluation method, which comprises the following steps: S1, arranging various sensors on a heat absorption tower structure, including an acceleration sensor, a strain gauge, a temperature sensor and a displacement sensor, collecting dynamic response data of the heat absorption tower under different working conditions; s2, on the basis of data collected by the sensors, a digital twin model of the heat absorption tower is built, and the model comprises finite element three-dimensional models of a tower footing, a tower body and a tower top. Real-time monitoring and high-precision prediction of the heat absorption tower are realized through a sensor network and a digital twinning technology, structural problems can be intelligently identified and early warning can be carried out in advance, meanwhile, a maintenance strategy is optimized based on fault prediction of AI, the maintenance cost is reduced, the equipment operation efficiency is improved, and the accuracy of structural analysis is further improved through introduction of the digital twinning technology. And the long-term safety and stability of the heat absorption tower are ensured.

The invention relates to the technical field of semiconductors, particularly provides an IGBT and silicon carbide MOSFET hybrid parallel power module, a motor controller and a vehicle, and aims to solve the problems of high cost and low yield of a power module manufactured by a full silicon carbide MOSFET chip. In order to achieve the purpose, the IGBT and silicon carbide MOSFET hybrid parallel power module comprises a mounting base, semiconductor modules distributed in an array mode are arranged on the mounting base, each semiconductor module comprises an upper bridge arm mechanism, a lower bridge arm mechanism and a substrate, and the upper bridge arm mechanisms and the lower bridge arm mechanisms are connected in series to form a half-bridge structure; the upper bridge arm mechanism comprises an IGBT chipset, a silicon carbide MOSFET chipset and an upper bridge gate signal terminal; a gate of the silicon carbide MOSFET chip of the upper bridge arm mechanism and a gate of the IGBT chip are connected with the upper bridge gate signal terminal; the lower bridge arm mechanism comprises an IGBT chip set, a silicon carbide MOSFET chip set and a lower bridge grid signal terminal. A grid of the silicon carbide MOSFET chip of the lower bridge arm mechanism and a grid of the IGBT chip are connected with the lower bridge grid signal terminal.