43results about How to "Resolve inconsistencies" patented technology

The invention discloses a lithium ore exploration system and method based on data analysis, and relates to the technical field of lithium ore exploration. In the operation process of the system, data from different sources are collected, geological abnormal parameters, lithologic density fluctuation parameters and gravity gradient parameters are obtained, the preprocessed data are analyzed, and a lithium ore exploration result is obtained; the method comprises the following steps: extracting geological features related to mineral resources, carrying out pattern recognition by using a deep learning technology, extracting key features from geological data, obtaining lithologic density Sgeo, rock magnetic parameters Wrock and rock resistivity Rgrad, and generating a three-dimensional geological model of a mining area through an AI algorithm based on the extracted features. The AI algorithm comprises regression analysis and a convolutional neural network (CNN) to process spatial data and generate three-dimensional visualization of a geologic structure, historical mining area distribution data is combined, the system uses a prediction algorithm random forest or a support vector machine (SVM) to predict lithium ore distribution, survey feedback is generated according to a prediction result, and a survey scheme is dynamically adjusted.

The invention provides a multifunctional self-assembly peptide recognition method and system, and relates to the technical field of biological peptide recognition. The method comprises the following steps: firstly, obtaining peptide sequences of a self-assembled peptide and a plurality of biological functional peptides, and inputting the peptide sequences into an embedded layer of a polypeptide function prediction model for 21-dimensional vectorization; and learning combination modes and sequence features of amino acids through an amino acid association feature extraction layer of the LSTM network. Then, acquiring direct contact information among different amino acids on the basis of a fine-grained feature learning layer of a multi-head self-attention mechanism; and finally, designing a Transform multi-task classifier which comprises five sub-task classifiers which are used for respectively predicting the self-assembly function, the anti-cancer function, the anti-inflammatory function, the antibacterial function and the antioxidant function. According to the method, a multi-layer structure is adopted to carry out layer-by-layer deep learning and optimization on polypeptide sequence features, efficient recognition and classification of multifunctional biological peptides are achieved, and finally the model performance is comprehensively evaluated through the accuracy rate, the precision rate, the recall rate and the F1 value.

The invention discloses a data analysis system for predicting respiratory diseases of children, and relates to the technical field of health data analysis, and a data acquisition platform comprises a data cleaning model used for acquiring heterogeneous data of the respiratory diseases of children; the data cleaning model identifies the data inconsistency of the child respiratory diseases, analyzes unstructured clinical patient feedback, and extracts semantic information; the prediction model construction module is used for constructing a hybrid prediction model based on the medical environment data and the semantic information; and the scheme making module is used for inputting the respiratory disease condition of the child into the prediction model building module, analyzing the influence of different climate changes on the air quality and customizing a prevention and treatment scheme. According to the invention, real-time early warning of air quality is realized, parents and medical institutions are helped to take preventive measures in time, the onset risk of respiratory diseases of children is reduced, the intelligent level of prediction is improved, and a solid technical support is provided for personalized health management.

The application discloses a kind of man-machine collaborative multi-modal data intelligent labeling and quality checking method, it is related to man-machine collaborative technical field.The method first obtains at least containing two modalities of original data of image, text, audio, generates multi-modal joint data sample after pre-processing and modal alignment;Input pre-trained multi-modal AI pre-labeling model generates pre-labeling result with confidence;Through cross-modal consistency check calculation consistency score, sample is divided into high, medium, low confidence three categories;High confidence sample is directly adopted and enters the sampling pool, and medium and low confidence sample is based on labeling personnel ability portrait and AI model dynamic capability evaluation and carries out intelligent task distribution.The application effectively solves the problem that efficiency and quality are difficult to balance in multi-modal data labeling, significantly improves labeling accuracy and automation rate, reduces labeling cost, and can meet the construction demand of large-scale high-quality multi-modal data set.

One or more embodiments of the present specification provide an image generation method, a storage medium and a program product, the method comprising: inputting a local image and a text into an image generation model, the image generation model being obtained by training a constructed neural network model by using a training sample set, each training sample in the training sample set comprises a global reference image, a local reference image and a reference text, the local reference image is an intercepted part in the global reference image, and the content of the reference text is associated with the global reference image; and generating an extended image corresponding to the local image and the text based on the image generation model, wherein the size of the extended image is greater than that of the local image. Through the specific training mechanism for the image generation model, the image content is effectively enriched while the integral structural integrity and visual coherence of the image are ensured.

This utility model relates to the field of wall component technology, specifically a connection structure between a suspended colored steel plate rainwater hopper and a wall. The structure includes a wall body, with multiple sets of wall purlins on the outer surface of the wall body. Rainwater hopper connectors for support are mounted on the outer periphery of the wall purlins via self-tapping screws. A specially designed colored steel plate rainwater hopper for drainage is mounted on the end of the rainwater hopper connector away from the wall body via a self-tapping screw. In the use of this connection structure, rainwater from the roof is guided by a rainwater bend and discharged through the specially designed colored steel plate rainwater hopper. The outlet of the rainwater bend is located inside the specially designed colored steel plate rainwater hopper, allowing rainwater to naturally flow into the hopper for discharge, effectively avoiding the "teapot effect" and solving the problem of incompatibility between the rainwater hopper / pipe and the exterior wall.

The invention discloses an AGV scheduling method, scheduling equipment, AGV equipment and a storage medium, and the method comprises the steps: a scheduling equipment side creates a map information model based on the topological information of a to-be-scheduled region; under the condition that vehicle body registration messages sent by the multiple AGV devices are received and registration succeeds, a map information model is sent to the multiple AGV devices, and the map information model is used for indicating that the multiple AGV devices have unified attitude information in the to-be-dispatched area. The AGV equipment side receives the map information model sent by the scheduling equipment under the condition that the AGV equipment successfully registers to the scheduling equipment; and carrying out AGV scheduling in the to-be-scheduled area based on the map information model. Therefore, for the multiple brands of AGVs operating in the same area, the unified map information model is created, so that the hybrid scheduling of the multiple brands of AGVs can be compatible, and the operation efficiency of the AGVs is improved.

A barrier gate management system comprises a barrier gate management server, a barrier gate control mechanism for controlling opening and closing of a gate rod, and a near field communication device, the near field communication device sends an instruction signal to the barrier gate control mechanism, and the near field communication device sends the instruction signal to the barrier gate control mechanism corresponding to the near field communication device side. The method comprises the following steps: (S1) responding to an off-network barrier gate opening and closing request of a vehicle user side intelligent equipment terminal, and receiving first identity data and a barrier gate opening and closing instruction request sent by the vehicle user side intelligent equipment terminal by the near field communication equipment; (S2) the near field communication equipment locally verifies first identity data of the vehicle user, and sends a barrier gate opening and closing instruction to a barrier gate control mechanism according to a local verification result and a barrier gate opening and closing instruction request sent by a user side intelligent equipment terminal; and (S3) the near field communication equipment returns an identity verification result and / or an authorized passing state to the vehicle user side intelligent equipment terminal. When the parking area has the network disconnection scene, communication interaction with the near field communication equipment is carried out through first identity data sent by the vehicle user side intelligent equipment terminal, so that opening and closing of the barrier gate in the network disconnection scene are completed; the problems that in the prior art, in a network interruption scene, vehicle access of a user is blocked, manual rod lifting is needed, and the user experience feeling of property and vehicle users is poor are solved.

This invention provides a campus hardware and software integrated management method and system supporting remote operation via mobile devices. It collects status parameters and business data from heterogeneous devices in the campus teaching, security, and logistics domains, synchronizes them with a hybrid clock, and pushes them to a campus digital twin virtual model incorporating geographic information, achieving full-domain resource virtual-real mapping and 3D visualization. A sliding time window combined with a business weight correction mechanism is used to determine adaptive warning thresholds and cross-device linkage strategies based on device operating time and business scenarios. Mobile devices access the system via an end-to-end encrypted link, enabling remote hierarchical handling based on dynamic hierarchical permissions. Hierarchical warnings are generated when a single parameter exceeds limits or multi-dimensional correlation anomalies are detected. If remote handling is ineffective, maintenance work orders are automatically generated and resources are intelligently scheduled, forming a closed-loop management process. This solution breaks down campus hardware and software data silos, enabling deep mobile control and intelligent operation and maintenance, significantly improving campus management efficiency and emergency response capabilities.

The invention discloses a feeder terminal analog quantity verification method based on inter-core shared memory communication, which relates to the field of power equipment test and calibration, and comprises the following steps: establishing communication connection and analog quantity signal connection between a test board body and a feeder terminal; the test board body sends a null drift calibration command, and the feeder terminal cooperates with the real-time core and the management core through the inter-core shared memory to complete acquisition, calculation, verification and storage of null drift parameters; the test bench body sends a precision calibration command, and the feeder terminal cooperates with the real-time core and the management core through the inter-core shared memory to complete acquisition, calculation, verification and storage of an analog quantity calibration coefficient; and the feeder terminal uses the stored null drift parameter and the calibration coefficient to carry out subsequent analog quantity measurement. According to the scheme, the full-process closed-loop control of the analog quantity verification of the feeder terminal from instruction issuing, parameter calculation verification to storage calling is realized, and the verification efficiency and accuracy are improved.

The invention discloses a whole-pack echelon utilization energy storage system for flexible power batteries. The system comprises a battery compartment and an equipment compartment, a plurality of echelon battery packs are arranged in the battery compartment, each echelon battery pack comprises a power battery and a battery management unit, and an energy management unit, an energy storage converter and a plurality of DC / DC modules are arranged in the equipment compartment; the power battery is connected with a power grid and a load through the DC / DC module and the energy storage converter; the battery management unit obtains parameter information of the power battery and sends the parameter information to the energy management unit, and the energy management unit obtains the parameter information of the power battery, working parameters of the energy storage converter and working parameters of the DC / DC module and conducts energy management on the power battery according to the obtained parameters. According to the invention, the operation of the energy storage cabinet is carried out by using the whole pack of the existing batteries, the energy storage cabinet is compatible with different models and specifications, including voltage inconsistency, signal inconsistency and protocol inconsistency, and the manpower cost and disassembly cost are greatly saved.

This application discloses a database object processing method, system, device, and medium, applied in the field of database technology. In the mapping phase, the hierarchical identifiers (after removing hierarchical separators) of the original identifier key are concatenated into a hierarchical identifier string, generating a first digital fingerprint. A mapping identifier key is generated based on the target start character, the target digital fingerprint algorithm identifier, the first digital fingerprint, the target hierarchical identifier length, and the hierarchical identifier string. In the inverse mapping phase, after determining that the mapping identifier key starts with the target start character, the hierarchical identifier string is segmented based on the target hierarchical identifier length to obtain each hierarchical identifier, generating a second digital fingerprint. When the second digital fingerprint matches the first digital fingerprint, the hierarchical separator is used to restore each hierarchical identifier to the original identifier key. By constructing a unified bidirectional mapping mechanism, the database cluster can be compatible with different metadata services, significantly improving system scalability.

The present invention provides an autonomous driving middleware adaptation method and a machine-readable storage medium, which belong to the technical field of autonomous driving middleware. The autonomous driving middleware adaptation method includes: using a predefined message interface program to generate corresponding encapsulation layer codes for different autonomous driving middleware, so that the application layer software calls each autonomous driving middleware in a consistent manner, wherein different fixed templates are provided in the message interface program, each of which corresponds to one autonomous driving middleware, and each of which is used to reference the interface file generated by the corresponding autonomous driving middleware, and use the specified namespace to refer to objects in different namespaces. The autonomous driving middleware adaptation method of the present invention enables upper-layer applications to access objects in different namespaces of various autonomous driving middlewares through the same file name and namespace.

The invention provides a three-dimensional open vocabulary segmentation method, system and device based on consistency regularization and a storage medium. According to the invention, a geometric guidance consistency correction strategy and a self-adaptive guidance consistency correction strategy are introduced. Firstly, a geometric guidance consistency correction strategy can accurately explore an object proposal by means of a pre-trained geometric estimation network and SAM, unifies object features of different view angle images, and ensures the accuracy of feature reflection semantics under the different view angle images. Secondly, the self-adaptive guide consistency correction strategy fully considers the inherent multi-view consistency of NeRF, and effectively inhibits the adverse effect caused by the inconsistent knowledge of CLIP. In conclusion, through the innovative strategy and the ingenious design, the accuracy and reliability of the 3D segmentation result are remarkably improved, and compared with the prior art, the method has obvious advantages.

The invention relates to the technical field of communication, in particular to a radio frequency control system, a radio frequency system and communication equipment. The radio frequency control system comprises a signal receiving system which at least comprises a GPIO instruction interface, an MIPI instruction interface, an SPI instruction interface and a URT instruction interface, and the GPIO instruction interface, the MIPI instruction interface, the SPI instruction interface and the URT instruction interface are used for receiving GPIO instruction signals, MIPI instruction signals, SPI instruction signals and URT instruction signals sent by a controller respectively; the instruction conversion unit is in signal connection with each instruction interface and is used for converting each received instruction signal into a function instruction matched with the corresponding function module; each port of the crossbar switch matrix is respectively connected with each instruction interface, and the crossbar switch matrix is used for realizing data circulation and control triggering among the instruction interfaces; and the signal function system comprises a plurality of function modules, and each function module is in signal connection with the corresponding instruction conversion unit and is used for executing the corresponding function according to the received function instruction. Provided is a radio frequency control system capable of coordinating communication protocols.

The application relates to a system detection method, device, equipment and storage medium of a nuclear power plant reactor. The method comprises the following steps: obtaining original sample data for testing a to-be-detected system, wherein the to-be-detected system is a system of the nuclear power plant reactor; determining a signal transmission deviation corresponding to the original sample data, and correcting the original sample data according to the signal transmission deviation to obtain corrected sample data; and transmitting the corrected sample data to a signal source end, so that the signal source end converts the corrected sample data into a detection signal and sends the detection signal to the to-be-detected system for system detection. The method can improve the accuracy of system detection of the nuclear power plant reactor.

The invention discloses a vector map watermark embedding and extracting method based on a virtual vertex and a DWT frequency coefficient ratio, which is characterized in that a vector map is converted from a space domain to a frequency domain on the basis of a DWT algorithm, and the method is designed on the basis to improve the robustness of a DWT-based watermark under vertex attack and geometric transformation. Specifically, in order to enhance robustness of vertex deletion attacks, virtual vertexes are calculated from adjacent real vertexes of a vector map, the ratio of a DWT high-frequency coefficient obtained through calculation from x coordinates of the virtual vertexes to a coefficient obtained through calculation from y coordinates is selected as an embedded domain, and a watermark correction method is designed, so that a watermark is corrected. According to the method, the consistency between the virtual vertex of the watermark and the VVs newly calculated from the vector map added with the watermark is ensured, and finally, quantitative index modulation is adopted as a watermark embedding strategy, so that the watermark can be blind extracted. The watermark technical scheme provided by the invention shows excellent robustness in coping with attacks such as vertex deletion, vertex addition, map cutting and the like.

The invention relates to the technical field of mechanical automation, and discloses automatic small nut taking and placing equipment for electronic book mainboard assembling, which comprises a four-axis mechanical arm, a nut taking and placing mechanism, an electronic book mainboard jig and a machine table, the nut taking and placing mechanism comprises a mounting frame, the upper end of the mounting frame is fixedly connected with the movable end of the four-axis mechanical arm, and the upper end of the mounting frame is fixedly connected with the movable end of the four-axis mechanical arm; rollers are rotatably mounted at the bottom end of the mounting frame, a conveying box is fixedly mounted in the mounting frame, a pushing assembly is arranged in the conveying box, and a sheath is fixedly mounted on the lower side of the conveying box and wraps the outer sides of the rollers. According to the automatic picking and placing equipment for the small nuts, the nut picking and placing mechanism is arranged at the movable end of the four-axis mechanical arm, a plurality of nuts can be temporarily stored in the material conveying box, the nuts are pushed into the material containing groove, the nuts are sequentially placed into positioning holes of an electronic book mainboard jig through rotation of the rolling wheels, and then the nuts are automatically picked and placed. And the mechanical arm does not need to reciprocate between the vibration disc and the mold to pick and place the nut, so that the production efficiency is greatly improved.

The purpose of the present application is to provide a method and device for determining the label of a transaction merchant, by constructing a merchant label standardization library and a merchant context database; obtaining a target merchant's to-be-labeled task, the to-be-labeled task including a user role, user input information and task content; retrieving the merchant context database according to the user input information to obtain a preset number of external merchant data with the highest similarity, and simultaneously selecting a normalized label most suitable for the target merchant from the merchant label standardization library according to the task content; integrating the user role, user input information, preset number of external merchant data and normalized label of the target merchant to obtain a prompt word of the target merchant; inputting the prompt word of the target merchant into a large model for reasoning of merchant classification to obtain a final unique label of the target merchant, thereby solving the problem of non-uniformity of the label output by the large model in the prior art and reducing the cost of manual labeling of merchant label data.

The application provides a communication method, a communication node, a storage medium and a program product. The method comprises the following steps: receiving first signaling, wherein the first signaling is used for indicating that a first communication node reports channel state information (CSI) of at least one CSI-reference signal (CSI-RS) resource combination; reporting first CSI according to the first signaling; and indicating, by the first signaling, that the first communication node reports the CSI of the CSI-RS resource combination. The first communication node determines at least one CSI-RS resource combination that needs to be reported based on the indication of the first signaling, and then reports the first CSI, thereby solving the inconsistency between the actual required CSI and the reported CSI. The second communication node can indicate, through the first signaling, which CSI-RS resource combination the first communication node reports the CSI of, thereby improving the accuracy of CSI reporting and avoiding the waste of resources caused by the mismatch of the reported information.

The invention discloses a coal mine area surface ecological damage identification method, and relates to the technical field of mining area environment monitoring. Comprising the following steps: acquiring surface ecological environment data of a to-be-detected coal mine area, and analyzing the surface ecological environment data to obtain an ecological sensing unit set consisting of a plurality of ecological sensing units; determining disturbance inducements of ecological environment evolution according to the ecological environment state of the coal mine area to be detected, and constructing a disturbance source set; and determining a spatio-temporal topological relation and a semantic logic relation between the ecological perception unit set and the disturbance source set to obtain a mining field knowledge set. And constructing a hypernetwork model, and then constructing a surface ecological environment evolution knowledge graph. And constructing a coal mine area surface ecological environment damage sensing system, identifying an ecological environment damage area and a mining target area in the mining process, and obtaining the surface ecological damage of the coal mine area to be detected. According to the method, the ecological environment damage caused by resource mining can be actively found, and the non-standard mining condition is further identified.

The application provides a hot continuous rolling production line collaborative design method, system, equipment and storage medium, relates to the steel metallurgy technical field, and the method comprises the following steps: establishing a top layout skeleton according to a process specification and a digital twin technology, containing equipment plane relationship, interface constraint, layout coordinate reference and equipment; based on the equipment list and the interface constraint, the design task is distributed and the node and the adjacent node permission are configured through the PLM system, and the interface data sharing pool is constructed; each node determines the production line space position reference of the corresponding equipment according to the equipment plane relationship; the equipment-level layout is generated in combination with the interface data and the constraint, the dynamic association of the part size and the layout coordinate reference is established through parameterized modeling, and the assembly positioning of each equipment is completed with the layout coordinate reference as the global origin. Through the top constraint unified reference, the hierarchical collaborative data sharing and the parameter association dynamic synchronization, the design precision and the efficiency of the hot continuous rolling production line are improved.

The present invention discloses a code integration management method and system based on Jenkins, and relates to the field of computer technology. A specific implementation of the method includes: after monitoring and intercepting a code submission event, triggering the client to run, so as to trigger a Jenkins remote build task through the client; polling the monitoring plug-in in Jenkins to obtain the latest build status of each task; if all tasks are successfully built, the code is pushed to the code warehouse through the client, otherwise a push failure message is returned. On the one hand, this implementation can ensure that a continuous integration build check can be performed before the code is submitted to the code warehouse, so as to avoid the code in the code warehouse from being contaminated; on the other hand, the entire build environment is built in Jenkins, and each user does not need to repeatedly build the environment locally, while also ensuring the uniformity of the continuous integration environment.

The application provides a UAV inspection route planning method, system, device and medium, relates to the technical field of UAV inspection route planning, and comprises the following steps: according to the regional characteristics of a disaster area, the disaster area is divided into a plurality of sub-regions, and each sub-region corresponds to a first emergency coefficient; according to the real-time state of each sub-region, the disaster evolution trend of each sub-region in a preset time period after the current time is predicted, and according to the disaster evolution trend, the second emergency coefficient of each sub-region is generated; the target emergency coefficient of each sub-region is generated by combining the first emergency coefficient and the second emergency coefficient; the initial inspection route of each UAV is generated by combining the position and the remaining power of each UAV and the target emergency coefficient of each sub-region; and the initial inspection route is adjusted according to the correlation coefficient between each UAV, and the target inspection route is obtained. The application has the technical effects that the deviation between the inspection route and the actual emergency demand is reduced, and the execution effect of the inspection task is improved.

The application provides an intelligent question and answer method and system fusing a rock knowledge graph, relates to the cross technical field of artificial intelligence and geological engineering, and aims at the problems of fragmented knowledge in the rock field, non-uniform terms, weak reasoning ability, weak professional property of intelligent question and answer, poor practicability and low accuracy. The method comprises the following steps: acquiring multi-source text data, and pre-processing the multi-source text data; performing sentence segmentation and standardization processing on the pre-processed multi-source text data; performing concurrent multi-relation triple extraction through a subject trigger type multi-relation joint extraction mechanism; constructing an ontology structure level, fusing the multi-relation triple, obtaining a rock knowledge graph, analyzing a user question and performing graph query, adopting an intention perception mechanism, performing graph reasoning on the graph retrieval content through an R-GCN model, and generating a natural language answer from the graph reasoning result. The application solves the problems of fragmented knowledge in the rock field and weak reasoning ability, and realizes accurate and rapid question answering in the rock field.

The invention discloses a thermal deformation permanent magnet material and a preparation method thereof, the thermal deformation permanent magnet material is prepared from composite magnetic powder through hot pressing densification and thermal deformation, and the composite magnetic powder comprises 55-82 parts by weight of first rapid quenching magnetic powder and 18-45 parts by weight of second rapid quenching magnetic powder; wherein the first rapid quenching magnetic powder is R-Fe-B series magnetic powder, R is at least one of Nd and Pr, and the total atomic percent of rare earth elements in the first rapid quenching magnetic powder is 12.5-15.5 at%; the second rapid quenching magnetic powder is R-Fe-B series magnetic powder, R comprises Nd and at least one of La and Y, and the sum of the atomic percent of La and Y in the second rapid quenching magnetic powder is 1.2-10.0 at%; the first rapid-quenching magnetic powder and the second rapid-quenching magnetic powder are filled in the blank in a partitioned manner in the pressing direction before hot pressing, and the area where the first rapid-quenching magnetic powder is located and the area where the second rapid-quenching magnetic powder is located are sequentially distributed in the pressing direction. The structure uniformity and the performance consistency of the thermal deformation permanent magnet material can be improved.

This application discloses a web platform for data linkage and unified management of underlying table entries across multiple heterogeneous CI systems based on a DevOps architecture. This platform relates to the fields of software development and operations technology, and includes a front-end interaction layer, an application service layer, a data processing layer, a storage layer, and an API gateway layer. The application service layer includes a data acquisition module, a data unification and backfilling module, and an underlying table entry unified management module. The data acquisition module automatically collects, parses, and converts data in various formats. The data unification and backfilling module performs unified standard data structure mapping and backfilling. During data flow and invocation across CI systems, the underlying table entry unified management module performs field conversion and matching based on established mapping relationships, achieving dynamic maintenance and maintaining global consistency. This application enables unified data management across multiple heterogeneous CI systems under a DevOps architecture, establishing a comprehensive solution for cross-system and global consistency at the underlying table entry level.

The invention discloses a cross-device electronic signature handwriting authenticity identification system, which unifies a data format through segmented resampling and cepstrum mean variance normalization processing of electronic signature data, and standardizes the data format to ensure the consistency of feature data of different devices on a time axis. A multi-stage one-dimensional depth separable convolutional network is utilized to perform depth feature extraction, and in combination with maximum pooling layer downsampling, the time sequence length and the calculation complexity are reduced. According to the multi-level feature fusion method, features of different depths are superposed, so that richness and robustness of feature representation are enhanced. Feature alignment and similarity measurement are performed through soft alignment, and the authenticity of the signature is judged through the alignment distance, so that the recognition accuracy and robustness of the model under different equipment and cross-time scenes are improved.

The application relates to the technical field of unmanned aerial vehicles, and discloses an unmanned aerial vehicle model-based system development simulation test platform, method and equipment, which comprises a file acquisition module, a file analysis module and an instruction conversion module.The file acquisition module is used for acquiring a test case script file of an unmanned aerial vehicle entity system; the file analysis module is used for analyzing the test case script file of the unmanned aerial vehicle entity system to obtain test case script instructions of the unmanned aerial vehicle entity system; and the instruction conversion module is used for converting the test case script instructions of the unmanned aerial vehicle entity system into target test case script instructions used by a system development simulation model.The platform can automatically convert the test case script instructions of the entity system into system development simulation model script instructions, break the isolation between the two, establish a bridge between the model system and the entity system, and achieve the purpose of script reuse or universality, so that the development cycle of a type can be shortened, the cost can be reduced, and the system development simulation model and the entity system can be tightly coupled.

The invention relates to the technical field of Internet of Vehicles, and discloses an Internet of Vehicles communication test method, electronic equipment, a storage medium and a program product. The Internet of Vehicles communication test method comprises the steps that a test environment is built based on an Internet of Vehicles communication simulation platform, the test environment comprises a virtual cloud end and a virtual vehicle end, the virtual vehicle end comprises a first virtual unit and a second virtual unit, and the first virtual unit and the second virtual unit communicate through the virtual cloud end; the virtual cloud receives a first message sent by the first virtual unit, compresses the first message based on the first Python script, and encrypts the compressed message; and after receiving the compressed and encrypted message, the second virtual unit can decrypt the message and decompress the decrypted message based on the second Python script. Thus, by combining the Python script, automatic testing can be achieved, manual testing operation is greatly reduced, and testing accuracy and testing efficiency are improved.