1182 results about "System structure" patented technology

The invention discloses a hydrogen-lithium dual-power system structure optimization design and integrated control method applied to an unmanned aerial vehicle. The method comprises the following steps: constructing a hydrogen-lithium dual-power system of the unmanned aerial vehicle; setting an integrated control strategy according to the hydrogen-lithium dual-power system; the integrated control strategy comprises an energy management strategy and a life and safety management strategy; the energy management strategy comprises a rule-based strategy, a power following strategy and a self-adaptive optimization strategy; the service life and safety management strategy comprises a hydrogen fuel cell protection strategy, a lithium battery health management strategy, a thermal management strategy, a dual-power coupling safety management strategy and a redundancy and fault processing strategy. By optimizing the power system design and the energy management strategy, the mass of the unmanned aerial vehicle device is reduced, the cruising ability, the load capacity and the environmental adaptability of the unmanned aerial vehicle are improved, and optimization processing of the control strategy is achieved.

The invention relates to the technical field of computer system structures and storage, in particular to a non-volatile memory quick recovery method based on metadata priority and on-demand loading. The method comprises the following steps: in response to a system fault signal detected by a voltage monitoring unit, freezing a processor context and traversing a page table structure to extract system configuration information; writing the system configuration information and business data codes in the volatile memory into a nonvolatile medium to generate a persistent state mirror image; analyzing the persistent state mirror image, extracting address conversion metadata, and reconstructing a mapping relation from a virtual address to a physical page frame in a volatile memory; and generating an address mapping table, wherein the physical page frame pointed by the address mapping table is set to be in an existing state but is not associated with the effective service data. According to the method, decoupling of the control flow and the data flow is realized by constructing a virtual ready state, and quick starting of the system and immediate response of key services are realized on the premise of not depending on the total capacity of a memory.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses a root cause analysis method and device based on a space-time dependency graph, equipment and a medium. Comprising the steps of constructing a space-time dependency graph, generating a diagnosis path blueprint, identifying a fault source and a root cause entity type, generating a graph query statement, executing query and performing cause and effect verification, and outputting a root cause analysis report. And the causal reasoning and root cause positioning of the system state change are realized by fusing the graph structure information and the natural language processing capability. Through cooperative processing of a language model and a graph data structure, fault symptom information and system structured state data are deeply fused, a path is generated in the graph structure, and a causal relationship is verified, so that the ability of understanding a complex system state evolution chain is improved, and accurate identification and diagnosis of root causes are realized. And the accuracy and the automation level of root cause analysis are obviously enhanced.

The invention provides a node task migration and scheduling system based on digital twinning, and relates to the technical field of computer system structures and data processing. Computing resource interference in a multi-tenant sharing environment is quantized by sensing a cross-tenant noise coefficient and a state synchronization complexity entropy in a node micro-architecture; extracting track features of the mobile terminal, calculating spatial discrete variance, generating a self-adaptive migration decision hysteresis factor, and converting the migration decision hysteresis factor into decision damping to inhibit invalid high-frequency reciprocating migration; constructing a digital twin sandbox before physical cutover, cooperating with a chaos scene injection engine to inject a composite fault operator into a bottom layer, and performing actuarial calculation on service continuity retention after risk adjustment by using a fidelity integrator; and finally, a bottom layer controller is linked through safety baseline comparison to execute physical flow switching. According to the method, network boundary deduction is completed on the premise that physical bandwidth is not consumed, the interruption risk caused by state hard switching is avoided, and smooth transition of stateful services is effectively guaranteed.

The invention discloses a personalized semantic understanding system for assisting an autonomous mobile platform, and the system comprises a user personalized word meaning library which is used for recording the mapping relation between the user habit expression and the corresponding operation; the fuzzy semantic analysis module is used for identifying fuzzy expression in a natural language instruction of a user and generating a plurality of candidate targets or operation options of semantic generalization; the multi-round context modeling module is used for establishing a semantic context based on session history and performing disambiguation and complementation on current semantics; and the intention generation module is used for converting the processed semantic information into a structured instruction. The personalized semantic understanding system is reasonable in structural design, all the modules cooperate with one another, the effect that 1 + 1 is larger than 2 can be achieved, fuzzy semantic understanding and multi-round context modeling can be conducted, the personalized requirement of a user can be met, semantic understanding precision is high, user adaptability is good, and the personalized semantic understanding system is suitable for man-machine interaction of an autonomous mobile platform.

The invention provides a non-intrusive diagnosis method for typical rotor faults of a synchronous phase modifier, and the method comprises the steps: carrying out finite element modeling and fault working condition setting, carrying out simulation to obtain magnetic field distribution data under each working condition, carrying out the extraction and feature analysis of stray magnetic field signals, extracting time domain and frequency domain signals of a stray magnetic field under healthy and various fault working conditions, and carrying out the diagnosis of the typical rotor faults of the synchronous phase modifier. Fundamental wave, odd-even harmonic components and signal change trends are compared and analyzed, stray magnetic field characteristics corresponding to faults are extracted and recognized, diagnosis criterion establishment and fault recognition are carried out, diagnosis criteria and threshold values of rotor turn-to-turn short circuit, dynamic eccentricity and shaft-diameter composite eccentricity faults are established according to the stray magnetic field characteristics, and the fault diagnosis accuracy is improved. And when the specific harmonic amplitude or change characteristic of the stray magnetic field signal exceeds the criterion threshold, determining the rotor fault of the corresponding type and degree. Equipment dismounting or structure reconstruction is not needed, the detection system is simple in structure, internal fault characteristics of the phase modifier can be reflected in real time, and high sensitivity and practicability are achieved.

The invention relates to a self-adaptive visual training method based on eye features, and belongs to the technical field of visual health and artificial intelligence. In order to solve the problems that traditional visual training equipment is heavy in structure, single in training mode and lack of personalized regulation and control and concentration state monitoring, the visual training equipment obtains eye images of a user in real time through an image acquisition module, adopts visual intelligent analysis, extracts double features of eye contours and pupil positions, calculates the visual concentration degree, and improves the visual training efficiency. And a concentration state is judged by combining a dynamic self-adaptive threshold value. When the concentration degree is insufficient, the control module triggers intervention mechanisms such as prompt or training pause and the like, and the remote interaction module uploads data to the cloud platform to generate a personalized training scheme. Intelligent and personalized regulation and control of the training process are achieved, the training effect and compliance are improved, the system is compact in structure and suitable for various scenes, and an efficient solution is provided for vision health.

The invention relates to an electric power multi-modal total element sample fusion labeling method and system based on Transform, and the method comprises the following steps: S1, obtaining multi-modal original data of a production operation site, and carrying out the preprocessing of the multi-modal original data, and obtaining a preprocessed multi-modal data set; s2, according to the preprocessed multi-modal data, multi-modal feature coding and Transform representation modeling are carried out, and through cross-modal feature fusion and information completion, fusion feature representation is obtained; s3, according to the fusion feature representation and a candidate tag set corresponding to the fusion feature representation, obtaining a multi-modal semantic alignment tag set through semantic consistency detection and a semantic mapping mechanism; s4, aligning the label set according to the multi-modal semantics, and constructing a label system structure tree; and S5, based on the fusion feature representation and the label system structure tree, constructing an automatic labeling module to generate a preliminary label, and directly inferring a label based on similar samples and category probabilities. According to the invention, efficient automatic label generation and sample dynamic classification are realized.

The invention provides a near-infrared model cross-device application method based on multi-source fusion optimization, and aims to solve the problem that various neural network models constructed by a high-precision near-infrared spectrometer cannot be applied to portable devices when being migrated to the portable devices. And the model performance is reduced due to differences of an optical system structure, a wavelength range, a signal-to-noise ratio, an instrument response characteristic and the like. According to the method, the near infrared spectrum data and the conventional quality parameters are subjected to feature level fusion, and the cross-equipment spectrum deviation is calibrated and compensated by using the stability of the conventional quality parameters, so that efficient knowledge migration from high-precision equipment to portable equipment is realized in the fused feature space. The problem of cross-device feature dimension mismatching is solved through a stable feature importance evaluation-based wave band alignment method; a small sample optimization strategy and a hyper-parameter automatic search technology are combined, so that the transfer learning effect is improved, the performance of a portable equipment detection model is remarkably enhanced, and meanwhile, the modeling cost is greatly reduced.

The invention provides an all-dielectric film system structure with visible near-infrared low transmission vegetation simulation, intermediate infrared high reflection and microwave high transmission. The device sequentially comprises, from top to bottom, a visible near-infrared simulated vegetation layer which is composed of first to fourth dielectric layers and is configured to simulate vegetation reflection spectrum characteristics in a wave band of 380-2500 nm and has a low transmission characteristic; the intermediate infrared high-reflection layer is formed by alternately stacking a first dielectric layer and a third dielectric layer, and is configured to form high reflection in a wave band of 3-14 microns; and a substrate layer; the thickness of the whole film layer is far smaller than the microwave wavelength, so that the film system keeps high transmission in the microwave band. According to the invention, the amorphous InSb material with high loss characteristic in visible near-infrared light is introduced, so that the average transmissivity of 1500-2500 nm is reduced to 0.095 while high-precision simulation of the vegetation reflectivity spectrum is realized, thereby realizing simulation of low transmissivity of the wave band vegetation.

The invention relates to the technical field of integrated circuit design, computer system structures and embedded systems, in particular to a high-real-time interrupt management system and method based on an RISC-V. The system comprises an improved platform-level interrupt controller and an optimized processor internal interrupt processing unit. The system and the method are in tight coupling cooperative work through a special interruption field interface and a system bus, and the system further comprises a core local interrupter, an SRAM, an APB bus matrix and other components. The improved platform-level interrupt controller is responsible for sampling, gating, arbitration, flow control and direct memory access transmission of external interrupt, and a plurality of functional modules are arranged in the improved platform-level interrupt controller; an interrupt processing unit in the processor is responsible for hardware handshake, vector jump, nested control and tail biting mechanism implementation. Through hardware field management, multi-level priority arbitration, hardware nesting and tail biting mechanisms, delay and overhead caused by software intervention in a traditional architecture are eliminated, nanosecond response is achieved, the system throughput rate is increased, the software development threshold is lowered, and the method is suitable for strong real-time scenes.

The invention belongs to the field of optical detection, and particularly relates to a synchronous calibration method for a geometric pose and an optical axis error of a reflective phase deflection system, which comprises the following steps of: taking a plane mirror pose as a reference, establishing redundant geometric constraints under a plurality of poses through mirror image reflection, and jointly solving geometric external parameters of the system; and meanwhile, a reverse ray tracing model and a normal integral model are synchronously constructed in a calibration stage, surface shape data are actually measured by combining an interferometer, a system optical axis error field is explicitly stripped, and decoupling separation of a system structure error and a surface shape error is realized. According to the method, the system building process is greatly simplified, the dependence of a high-precision mechanical auxiliary device is avoided, and the overall detection precision and the low-frequency error control capability of the reflective phase deflection system are effectively improved by synchronously modeling and compensating the optical axis error of the system in the calibration stage; and a technical basis with engineering adaptability is provided for high-precision free-form surface optical detection.

The invention provides an M-system chaos shift keying communication method, device, equipment and medium, and the method comprises the steps: generating a long chaos sequence and a short chaos sequence through employing two chaos generators with different chaos mapping, mapping an M-system symbol into an embedded position through employing a symbol-to-position mapping table, and carrying out the mapping of the M-system symbol into the embedded position; a short chaotic sequence is embedded into a corresponding position of a long chaotic sequence to generate a combined chaotic transmitting signal, so that M-system transmission can be realized only through two chaotic generators, and M chaotic mapping is not needed to construct a signal space; and a receiving end adopts a deep neural network demodulation model to carry out probability judgment on the segmented subsequences, so that incoherent demodulation is realized, the traditional chaotic synchronization technology and orthogonalization technology are not needed, the system structure is effectively simplified, and the realization difficulty is reduced.

The invention relates to the technical field of health management of dry-type air-core reactors, in particular to a dry-type air-core reactor turn-to-turn fault identification method based on acquired data optimization. The method comprises the steps of firstly obtaining a discharge feature vector of each event; further obtaining associated defect source cost dispersion according to the same-dimensional data difference of the discharge feature vectors between adjacent monitoring periods; further obtaining the structure entropy of the discharge system according to the distribution of the discharge feature vectors in each monitoring period; further constructing an insulation state diagnosis space according to the change of the structure entropy of the discharge system in the adjacent monitoring periods and the cost dispersion of the associated defect source; and finally, according to the distribution of diagnosis points in the insulation state diagnosis space, carrying out multi-stage state evaluation, capturing early-stage degradation information, realizing accurate prediction of the insulation degradation severity and the dominant mode, quantifying the abnormal evolution process, and providing a reliable basis for health management.

The invention relates to the technical field of photovoltaic photo-thermal heating, and discloses a photovoltaic photo-thermal heat pump heating control method based on a dynamic load. The method comprises the steps that the solar irradiation intensity, the environment temperature, the relative humidity and the building heat load requirement of a target heating area are measured and recorded, and environment load data are formed; on the basis of the data, the connection topology of a photovoltaic photo-thermal heat collector array and a heat pump unit is optimized through a multi-source heat supply assembly collaborative configuration method, and a system structure configuration scheme is determined; according to the scheme, the output thermal power of the heat collector array is dynamically predicted through a photo-thermal conversion efficiency prediction method, and a predicted thermal power distribution scheme is obtained; and finally, on the basis of the predicted heat power distribution scheme, a circulation path of a heat medium between the heat collector array and the heat pump unit is independently controlled through a heat medium directional scheduling method, and a heat medium scheduling instruction is generated. According to the method, dynamic cooperation of all assemblies of the heating system can be achieved, the method adapts to building heat load changes, and the flexibility and adaptability of system operation are improved.

The embodiment of the invention discloses a reverse design method and system of an optical thin film, electronic equipment and a storage medium, and relates to the technical field of optical thin film design, and the method comprises the steps: determining a target spectrum and a design index; obtaining a target spectrum vector based on the target spectrum and the design index; inputting the target spectrum and the design index into the expert sub-model to obtain an embedded vector output by the expert sub-model; inputting the target spectrum vector and the embedded vector into a backbone network to obtain a candidate film system structure; determining an actual spectrum of the candidate film system structure; and adjusting the candidate film system structure based on a difference value between the actual spectrum and the target spectrum to obtain a target film system structure. According to the embodiment of the invention, the constraint condition of the film system structure and the number of initial film layers to be tried are determined through the expert sub-model, and the search space and the calculation amount are remarkably reduced while the design accuracy is kept.

The robot simulation skin structure comprises a temperature control unit and an evaporation heat dissipation unit, the temperature control unit comprises a flexible base layer and a silver electrode layer, the silver electrode layer covers the flexible base layer, the flexible base layer is made of a flexible PTC material, the evaporation heat dissipation unit comprises a liquid storage layer and an opening and closing door, and the opening and closing door is made of a flexible PTC material. The opening and closing door covers the liquid storage layer, the opening and closing door is a shape memory alloy opening and closing door or a shape memory polymer opening and closing door, and heat dissipation liquid is arranged in the liquid storage layer. Therefore, according to the simulated skin structure, the temperature sensing function, the self-adaptive heating function and the evaporative heat dissipation function are integrated into a single flexible structure, the autonomous response of local heat management can be achieved without an external complex control system, and therefore an extra sensor, an extra controller and an extra complex circuit are omitted; independent work and quick response of each local area are realized, and the system structure is greatly simplified.

The embodiment of the invention provides a construction method of an initial structure of a molecular system, a construction method of a molecular system structure, a computer program product, a computer system and a computer readable storage medium. The construction method of the initial structure of the molecular system comprises the following steps: setting a molecular object, obtaining a basic construction unit of the initial structure of the molecular system to be constructed, and obtaining molecular parameters corresponding to the molecular object; obtaining atomic charges according to a predetermined atomic charge calculation method; according to the SMILES character string of the basic construction unit, obtaining an atomic type identifier; carrying out three-dimensional stacking; obtaining a Dresing force field parameter of the stacked molecular system, and obtaining an LAMMPS format file of the structure of the stacked molecular system and the Dresing force field parameter of the stacked molecular system; and carrying out a relaxation process on the stacked molecular system to obtain an initial structure of the molecular system. By adopting the construction method to construct the initial structure of the molecular system, the construction accuracy and efficiency are relatively high.

The utility model discloses a peristaltic pump for a spectrograph, which comprises a pump body provided with a rotor; the first pumping component is connected to the pump body and located on the upper side of the rotor, the first pumping component comprises a first pump pipe, a first pressing block and a first pressing rod, and the first pressing rod is connected with the first pressing block, drives the first pressing block to move towards one side of the first pump pipe and can drive the first pump pipe to be matched with the rotor in an abutting mode; the second pumping component is connected to the pump body and located on the lower side of the rotor, the second pumping component comprises a second pump pipe, a second pressing block and a second pressing rod, and the second pressing rod is connected with the second pressing block, drives the second pressing block to move towards one side of the second pump pipe and can drive the second pump pipe to be matched with the rotor in an abutting mode; when the rotor rotates, the rotor can drive the first pump pipe and the second pump pipe to pump liquid in the opposite directions. The functions of liquid supply and waste discharge are achieved in the same pump body at the same time, the working efficiency is remarkably improved, the system structure is simplified, and the requirement for additional pumping equipment is reduced.

The invention belongs to the field of computer system structures and artificial intelligence accelerators, and discloses a software and hardware collaborative heterogeneous storage computing accelerator oriented to full-chip DLRM reasoning. A control domain composed of a static random access memory and an embedded dynamic random access memory, an on-chip storage domain, an in-memory computing domain and an on-chip computing domain are integrated in the same chip, an embedded table is compressed by introducing a hierarchical clustering quantization frame, and a dynamic storage management strategy of access frequency perception is combined. The embedded access path is shortened, and the bandwidth requirement is reduced. According to the method, the reasoning process of the whole set of DLRM can be independently completed, and the memory access overhead in a traditional terminal SoC is remarkably reduced by reducing cross-domain data migration between the calculation unit and the storage unit, so that the model reasoning performance and energy efficiency are improved.

The invention discloses a multichannel thermocouple temperature compensation method for a liquid rocket engine test, and relates to the technical field of liquid rocket engine tests, and the method comprises the steps: determining the type of a target thermocouple temperature sensor according to the characteristics of a tested object in a to-be-tested liquid rocket engine, and determining a corresponding temperature compensation wire; a target thermocouple temperature sensor is connected with a temperature compensation wire to form an acquisition device; a thermocouple voltage signal and a thermistor voltage signal are acquired in real time through an acquisition device, and the signals are transmitted to a processor based on a wiring terminal in the temperature compensation cabinet; and the thermocouple temperature corresponding to the input data is determined through a preset cold end compensation algorithm in the processor. According to the invention, the precision and reliability of temperature measurement can be improved, the system structure is simplified, the system cost is reduced, and the system is suitable for temperature measurement requirements of multi-channel, high-precision and complex environments in a liquid rocket engine test.

The invention discloses a single-phase immersion battery intelligent thermal management control method and device for an energy storage power station, and relates to the technical field of battery thermal control. The intelligent thermal management control method and device for the single-phase immersed battery for the energy storage power station comprises the steps that S1, battery state data and external environment data in the operation process of the energy storage power station are collected and preprocessed, and a standardized thermal state data set is constructed; s2, performing working condition evaluation on the current working condition state by combining the battery heat flow density, and dynamically adjusting the flow direction of the cooling liquid; s3, the current heat exchange load and the phase state safety boundary are comprehensively analyzed, and the valve opening degree is driven to change; and S4, carrying out stability evaluation on the local thermal stability, and adjusting a power supply loop safety response strategy in real time. The problems that a traditional heat management system lacks the bidirectional regulation and control capacity for coping with wide-temperature-range extreme climate and cannot give consideration to the collaborative requirements of high-temperature heat dissipation and low-temperature heat supply, and consequently system structure redundancy, energy consumption increase and operation and maintenance complexity are caused are solved.

According to the motor, the power system based on the motor and the adjusting method, convex ribs are arranged on an end plate of a rotor, the rotor is used for driving the convex ribs to rotate and driving cooling lubricating oil to form forced circulation in an air gap, the heat transfer efficiency of the rotor and a stator is remarkably enhanced, and the temperature rise of the rotor and the demagnetization risk of a permanent magnet are effectively controlled; meanwhile, the lubrication condition of moving parts is improved, and energy consumption and complexity caused by an extra oil pump are avoided; through the integrated design of the motor shell and a half box body of the gear box and the communicating oil duct of the sealing plate and the gear box, a shared lubricating system is constructed, cooling lubricating oil circulation sharing and heat dissipation cooperation are achieved, the overall structure is simplified, and the system reliability is improved; on the premise that the size and the weight are not increased basically, the comprehensive benefits of improving the heat dissipation performance, simplifying the system structure and reducing the manufacturing cost are synchronously achieved, and the power module is particularly suitable for application scenes with limited space and high power density requirements.

The invention provides a narrow-linewidth single-frequency laser frequency stabilization system and method based on a Gaussian filter, and the system employs the Gaussian filter to reduce the optical power of single-frequency laser, and employs the frequency selection characteristic of the Gaussian filter, the frequency spectrum of the single-frequency laser is a single narrow peak, and the frequency stability of the single-frequency laser is improved. When laser frequency passes through a designed Gaussian filter (the fluctuation range of a frequency-stabilized laser source is only on the left side of the center frequency of the Gaussian filter), laser signals can be reduced according to a Gaussian function rule, and along with frequency change, attenuation degrees are different and monotonically change, so that output optical power is different, and the output optical power is changed. And the optical power is compared with the optical power of a preset frequency stabilization target (a half-high point on the left side of a Gaussian filter) to obtain the deviation of the laser source relative to the target frequency stabilization frequency, so that the laser frequency is correspondingly adjusted to achieve the frequency stabilization purpose. The high-sensitivity optical power detection is realized, the response speed and the frequency stabilization precision of the system are improved, and the system is simple in structure and low in maintenance cost.

The invention relates to a film system structure for partitioned film coating. The film system structure comprises a glass substrate, a first film stack and a second film stack, the first film stack is formed by alternately depositing a medium-refractive-index material and a low-refractive-index material in a vacuum chamber, the film system design structure of the first film stack is SUBM + L +... + M + LAir, SUB represents a substrate, M represents a medium-refractive-index material film layer, L represents a low-refractive-index material film layer, and Air represents air; the second film stack is a film stack formed by alternately depositing a high-refractive-index material and a low-refractive-index material in the vacuum chamber, the film system design structure of the second film stack is SUB first film stack + H + L... + H + LAir, SUB represents a substrate, H represents a high-refractive-index material film layer, L represents a low-refractive-index material film layer, and Air represents air. Compared with the prior art, the method has the advantages of reducing the manufacturing cost, improving the boundary definition and the like.

The invention discloses an optical communication system and an optical communication method. An optical communication system includes a first device, an optical splitter, and a plurality of second devices. The first device is used for sending a first optical signal, the first optical signal is respectively transmitted to the plurality of second devices after being shunted by the optical splitter, and the first optical signal carries an analog radio frequency signal. The plurality of second devices are used for sending second optical signals respectively, the plurality of second optical signals are transmitted to the first device after passing through the optical splitter, and each second optical signal carries an analog radio frequency signal. The optical signal for communication between the first device and the second device bears the analog radio frequency signal, and the analog radio frequency signal does not need to be converted into a digital signal, packaged into an optical protocol frame format and then modulated into the optical signal. In this way, communication between the first device and the second device does not involve the optical protocol conversion process of optical protocol frame format encapsulation and de-encapsulation, the service delay of the system is reduced, the system structure is simpler, and power consumption and cost are reduced.

The invention relates to the technical field of precision casting, in particular to a casting pouring design method and system based on deep learning. Automatic feature extraction is adopted, and geometric, topological and technological features are automatically extracted from an STP format three-dimensional model of a casting and a pouring system. And constructing a deep learning model, and learning a complex mapping relationship between casting features and a pouring system structure. According to the method, expert experience is fused, casting process rules and expert knowledge are embedded into an AI model through a pre-learning standard model and a structure library, and design reasonability and interpretability are improved. End-to-end generation is adopted, and full-process automation from new casting model input to complete pouring system three-dimensional model output is achieved. The design efficiency is remarkably improved, automatic design from a casting to a pouring system is achieved, and the traditional design period from several days to several weeks is shortened to the minute level. According to the method, the design quality is controllable, and the design is ensured to meet the casting process requirements by embedding a standard model, artificial experience and process rules.

The invention relates to the technical field of welding, in particular to a taper pipe diameter self-adaption rate regulation and control weld joint homogenization welding system. Comprising a diameter detection module configured to detect the diameter change of the taper pipe in real time, the diameter detection module comprises a welding gun Z-axis position detection unit, and the welding gun Z-axis position detection unit automatically calculates the diameter change information of the taper pipe in a controller algorithm by collecting welding gun Z-axis coordinate data in real time. The diameter detection module only depends on the welding gun Z-axis position detection unit, the taper pipe diameter is inversely calculated through a built-in algorithm of the controller, a laser distance measuring sensor, a visual detection device and the like do not need to be additionally configured, the sensor purchase, installation and later maintenance cost is reduced, meanwhile, the system hardware connection and debugging process is simplified, the hardware configuration cost is reduced, and the system structure is simplified.

The invention discloses an automatic driving test and evaluation method and device based on a large language model, and solves the problems that the pertinence of a test scene is insufficient, the result understanding depends on manpower, the evaluation interpretation is weak and the like in a traditional method. By means of semantic analysis, logical reasoning and domain knowledge support of a large language model and in combination with an automatic driving test domain knowledge graph, generation of a structured test portrait of a tested system, construction of a test demand list, generation of a semantic test scene description file, interpretable test result attribution, multi-dimensional comprehensive evaluation and report output are completed in sequence. And a test portrait is updated through report feedback to form a closed loop. The method is suitable for function verification and performance evaluation of an automatic driving simulation test, can also be used for post-processing analysis of real vehicle test data, realizes automation of a whole test process and interpretability of an evaluation result, and improves test precision and efficiency.

The invention belongs to the technical field of mechanical arms, and provides a multi-degree-of-freedom industrial carrying mechanical arm which achieves stable and accurate clamping and carrying of square materials through the collaborative operation design of hydraulic driving and a mechanical structure, hydraulic clamping is combined with the lifting action of a mechanical arm, and therefore the mechanical arm can stably and accurately clamp and carry the square materials. The clamping jaw and the clamping jaw work cooperatively, an extra power source is not needed, the clamping action of the clamping jaw is achieved through a liquid medium, the system structure is simplified, and energy consumption is reduced.