1014 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 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 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 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 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 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 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.

The invention relates to a two-way current smooth switching system and method without crossover distortion and a double-quadrant power supply, and the system comprises a signal setting unit, a dynamic bias ClassAB push-pull output unit, a feedback sampling unit and a control processing unit. According to the dynamic bias ClassAB push-pull output unit, static micro-conduction bias is provided for N-type and P-type power tubes in a push-pull output subunit through an internal bias subunit, and closed-loop control is combined, so that continuous and smooth transition can be realized when system output current is switched at a zero crossing point in the positive and negative directions, and the system stability is improved. And the problems of crossover distortion and switching dead zone existing in the traditional bidirectional power supply are thoroughly eliminated. According to the invention, high-efficiency, high-speed and distortionless bidirectional current output is realized, the system structure is simplified, and the system can be widely applied to the fields of high-precision test power supplies, battery simulators, servo drivers and the like.

The invention discloses a double-inertia elastic position servo system and a control method thereof, and the method comprises the steps: taking a motor speed as the input of a second-order linear expansion state observer in an active disturbance rejection controller, introducing a speed observation error, reconstructing internal and external disturbances, and observing the motor speed and the internal and external disturbances. The structure of the observer is simplified, the response speed of the system is improved, system internal and external disturbances including time-varying elastic disturbances caused by elastic deformation of the transmission mechanism are observed in real time, the time-varying elastic disturbances are compensated in combination with state error feedback, and the resonance problem is suppressed. According to the double-inertia elastic position servo system and the control method thereof, the system structure is simplified, the response speed of the system is increased, the anti-interference capacity of the system is improved, meanwhile, the inherent problems of mechanical resonance, position tail end buffeting and the like of the double-inertia elastic position servo system are effectively solved, and high-precision position servo control is achieved.

The invention relates to the technical field of permanent magnet synchronous motors, and discloses a permanent magnet synchronous motor turn-to-turn short circuit fault detection method and device, and the method comprises the steps: determining a discrete Fourier transform coefficient according to a carrier wave ratio; sampling the motor stator current for multiple times, and calculating a fundamental wave amplitude corresponding to the motor stator current by using discrete Fourier transform; and judging whether a turn-to-turn short circuit fault occurs or not according to the fundamental wave amplitude. According to the invention, fault detection is realized only through sampling and signal processing (for example, determining a DFT coefficient based on a carrier wave ratio and calculating a fundamental wave amplitude and an unbalance degree) on the stator current in an existing motor control system, and hardware equipment such as a resistance network and the like is not required to be additionally installed like a method based on a neutral-point voltage zero-sequence component, so that the hardware cost is prevented from being increased, and the fault detection efficiency is improved. And the system structure complexity and the subsequent maintenance difficulty are reduced, and the target of improving the reliability of the equipment is consistent.

The invention discloses a single-channel received RIS direction of arrival estimation method, and relates to the technical field of wireless sensing, and the method comprises the steps: mapping a space-time coding matrix into a control signal, and loading the control signal to periodically arranged electromagnetic units of an RIS, thereby carrying out the space-time coding modulation of an incident signal, and forming a reflection signal comprising angle information; receiving the reflected signal by a single-channel receiving end and converting the reflected signal into baseband data, performing Fourier transform on the baseband data to obtain a frequency domain component, and constructing a plurality of virtual receiving channels; and constructing a covariance matrix based on the signal of the virtual receiving channel, performing eigenvalue decomposition on the covariance matrix, constructing a spatial spectrum function, and performing peak search on the spatial spectrum function to obtain the direction of arrival of the incident signal. The invention further discloses a single-channel receiving RIS direction of arrival estimation system, high-precision direction of arrival estimation under the single-channel receiving condition is achieved, and the system has the advantages of being simple in system structure, low in hardware cost, high in algorithm resolution and high in anti-noise capacity.

The invention discloses a gesture recognition system and method based on multi-channel mixing of EMG, FMG and IMU. The system comprises a multi-channel signal acquisition module, a signal conditioning and synchronous acquisition circuit, a data preprocessing module, a deep neural network fusion recognition module and an output interface module. By integrating a surface electromyogram, a muscle force diagram and an inertial measurement unit, synchronous acquisition of multi-modal physiological signals of the forearm of a human body is realized; a double-flow convolution-time sequence attention fusion network (DCTANet) is adopted for feature extraction and classification decision making, and neuromuscular activity, muscle mechanical response and limb movement information are effectively fused. The accuracy, robustness and real-time performance of gesture recognition are improved, and the method is suitable for the fields of intelligent prostheses, wearable interaction, rehabilitation training and the like. The system is compact in structure, supports embedded deployment, and has a good practical prospect.

The invention relates to the technical field of electric digital data processing, and discloses an Internet of Things water meter operation mode monitoring method, which comprises the following steps: acquiring an original pulse sequence acquired by a sensor and extracting a pulse time interval sequence; mapping based on the pulse time interval sequence and the system structure characteristic parameters to obtain an equivalent response numerical sequence; constructing a feature vector unit according to the evolution slope between the adjacent numerical points; extracting slope symmetry features of the feature vector units and matching the slope symmetry features with a physical causal criterion so as to separate continuous feature signals and asymmetric noise signals; according to the method, fluid kinetic energy time domain evolution characteristics are represented by using a nonlinear mapping mechanism, accurate decoupling of a real water load and a pipe network disturbance pseudo signal is realized through physical causal verification, the difficult problem of micro flow identification under a complex working condition is effectively solved, and the monitoring robustness of a system is enhanced.

The invention relates to the technical field of electromagnetic measurement and state monitoring, and discloses a global state sensing system and method for an electromagnetic voltage transformer. The technical problems that in the prior art, data robustness is insufficient and actual working condition changes of a power grid are difficult to adapt due to the fact that accurate resonance circuit parameters are depended and a single calculation path is adopted are solved. According to the method, ferromagnetic resonance phenomena under various faults are simulated based on electromagnetic transient simulation, phenomenon data are obtained, and influence factors are analyzed to obtain influence rule data. And taking the rule data as input, and adopting a comprehensive solving method combining programming calculation, system structure chart calculation and electromagnetic transient software simulation to obtain a high-reliability state quantity time sequence. Based on the time sequence, a nonlinear model which takes loss into account and does not depend on precise resonant circuit parameters is derived, and explicit mathematical functions of primary current and transient overvoltage of the voltage transformer are obtained.

The invention discloses a software-in-the-loop simulation test system and method for intelligent driving, and relates to the technical field of automatic driving algorithm testing. According to the scheme, a closed-loop test of an in-the-loop simulation test is realized only through an intelligent driving platform, a scene simulation software end and an initialized vehicle dynamics model group; all the components realize distributed communication through a user datagram protocol without additional hardware, so that complicated external communication configuration is not needed in a closed-loop test for realizing in-loop simulation test, multi-tool collaboration is simplified, and the complexity of a system structure is reduced. And the intelligent driving platform coordinates vehicle dynamics data according to a preset algorithm to carry out path planning and decision control, so that the interaction efficiency of software in a loop simulation test process is improved. And the vehicle dynamics model group is used for sending the RDB data packet to the scene simulation software end through the public user datagram protocol channel, that is, cross-component collaboration is realized through the public user datagram protocol channel, and the synchronism of closed-loop testing is ensured.

The invention provides a multi-label path reasoning method and system, a medium and a terminal. The method comprises the following steps: constructing a label system; dynamically updating a keyword set in the tag system; and based on the tag system and the keyword of the tag node, allocating a final tag to the to-be-classified text. According to the multi-label path reasoning method and system, the medium and the terminal, multi-label attribution can be efficiently and accurately completed under a complex label system through label system structured grouping, upper and lower layer path collaborative judgment and an embedded semantic fusion and path scoring mechanism.