36results about How to "Efficient Data Acquisition" patented technology

The invention relates to a big data and deep learning-based public opinion analysis method and apparatus, and a medium. The method comprises the steps of collecting text, image and video multi-modal public opinion data of multiple cities; performing cleaning, duplicate removal, word segmentation and stop word filtering preprocessing operation on the collected public opinion data; respectively extracting text features and image or video features by using a natural language processing technology and a computer vision technology, and fusing the features through a multi-modal fusion algorithm; by adopting a distributed system and a distributed task scheduling algorithm, cross-platform and cross-language efficient data acquisition is realized, resource allocation can be dynamically adjusted according to public opinion popularity of each city, the real-time performance and comprehensiveness of key city data are ensured, and meanwhile, through a method of combining a TF-IDF algorithm, an emotion dictionary and deep learning, the real-time performance of the city is improved. The data quality is effectively improved, and a reliable basis is provided for subsequent analysis.

The invention discloses an intelligent monitoring and early warning method and system for a cofferdam construction process, and belongs to the field of intelligent monitoring, and the early warning method comprises the steps: collecting historical hydrological and geological data, constructing a hydrological-geological database, marking risk factors, and determining hydrological and geological risk types and safety thresholds. Then, key monitoring parameters are determined according to the cofferdam type, unique IDs are distributed to the sensors, and sensor data are integrated to network transmission nodes; and after the data is transmitted to the data processing center, the data is decompressed and compared with hydrological-geological data, and a sensor data weight coefficient is calculated. A cofferdam construction early warning model is constructed based on the data, early warning conditions are screened step by step through weight coefficients and risk factors, and construction early warning evaluation parameters are formed. And finally, risk identification and probability early warning are carried out on the construction process in combination with real-time data, so that the construction safety is improved. According to the method, the accurate cofferdam construction early warning model is constructed, so that the accuracy of construction risk prediction is improved.

The invention discloses an electronic creditor's right certificate intelligent issuing method, which comprises the steps of S1, enhanced data collection and preprocessing: constructing an intelligent human-computer interaction interface, realizing efficient collection of specified data, and automatically analyzing uploaded document content; s2, deep data verification and intelligent analysis: analyzing the data by using a machine learning model to ensure accuracy, and verifying the logic consistency of the creditor and debt relationship; s3, self-adaptive creditor's right voucher generation: dynamically generating an electronic creditor's right voucher meeting legal requirements and industry standards by the system; s4, security enhancement and block chain evidence storage: endowing each electronic creditor's right certificate with a unique digital signature and a unique timestamp by adopting an encryption technology and a distributed account book mechanism; and S5, integrating and optimizing an automatic process, wherein the system design is compatible with various financial ecosystems. According to the invention, full-chain intellectualization from data acquisition and analysis to automatic voucher generation can be realized, and the issuing efficiency of the electronic creditor's right voucher is greatly improved.

The invention discloses a CIM-based pipeline state intelligent monitoring method, system and equipment and a medium, belongs to the technical field of urban infrastructure management, and aims to solve the technical problem of how to realize comprehensive, real-time and intelligent monitoring and management of the pipeline state of an underground pipe network, automatically analyze potential risks and abnormities and improve the management efficiency of the underground pipe network. In order to improve the management efficiency and level of the pipeline state of the underground pipe network, the adopted technical scheme is as follows: constructing a data acquisition and transmission network: constructing the data acquisition and transmission network by deploying multiple types of sensors along the pipeline, and obtaining and transmitting the real-time operation data of the pipeline; preprocessing data and constructing a model: preprocessing the pipeline operation data, and constructing a precise three-dimensional model of the pipeline by using a CIM (Common Information Model) technology; and intelligent analysis and prediction: in combination with big data analysis and data mining technologies, deep analysis and prediction of pipeline operation data are realized, and potential risks are identified and early warned.

The invention discloses a power transmission tower three-dimensional reconstruction method and device based on a standard model library, and relates to the technical field of three-dimensional reconstruction or other related fields, and the method comprises the steps: collecting the point cloud data of a power transmission tower through a mobile scanning device, carrying out the filtering and coordinate transformation of the point cloud data, and obtaining the point cloud data of a unified coordinate system, the method comprises the following steps: obtaining different types of tower standard information, establishing a standard model library, classifying point cloud data, capturing tower key points, obtaining a matching model from the standard model library based on the key points, carrying out geometric transformation on the matching model to obtain a preliminary three-dimensional model, and obtaining a final three-dimensional model based on physical and prior constraint conditions of the tower. And refining the preliminary three-dimensional model by adopting a random iterative algorithm to obtain a refined three-dimensional model, aligning and fusing the preliminary three-dimensional model and the refined three-dimensional model to obtain a target three-dimensional model, and generating a formatted file. According to the invention, the technical problems of low accuracy, low applicability and low automation degree of three-dimensional reconstruction of the power transmission tower in the prior art are solved.

The invention relates to the technical field of ecological environment monitoring, and discloses intelligent eagle equipment and an ecological environment monitoring method, and the intelligent eagle equipment comprises a data obtaining module which is used for obtaining ecological environment images, temperature data and point cloud data of a target area at different distances through employing a multi-focal-segment fusion algorithm; the data processing module is used for performing parallel processing on the acquired data by adopting a quantum circuit algorithm; the remote transmission module is used for transmitting the collected data and the processed data to a ground control station in real time so as to make decisions and determine monitoring task requirements through the ground control station; the monitoring path planning module is used for receiving monitoring task requirements, selecting a path planning algorithm according to terrain complexity, performing path planning on a target area in combination with the collected data, and converting a path planning result into a control instruction through a ground control station; and the unmanned aerial vehicle platform comprises a composite wing unmanned aerial vehicle and a multi-rotor unmanned aerial vehicle, and is used for carrying other modules and receiving the control instruction of the ground control station to carry out flight monitoring.

The invention relates to an unmanned aerial vehicle wing deformation monitoring sensor layout method based on modal analysis, and the method comprises the steps: determining the modal parameter detection of a wing under different working conditions through modal analysis, and employing a modal component sum index to recognize a key degree of freedom so as to optimize the position of a sensor; the method is mainly used for verifying the deformation of the wing part in the overall design process of the unmanned aerial vehicle in a laboratory. According to the method, the modal shape and the inherent frequency are obtained through finite element analysis, the modal amplitude and the participation factor of each degree of freedom are calculated, the optimal arrangement position of the sensor is further optimized through an iterative algorithm, and the arranged fiber bragg grating sensor can accurately monitor the deformation information of the wing. The data processing unit collects data and evaluates wing performance by applying a data analysis algorithm. The method improves the accuracy and comprehensiveness of deformation measurement, and provides guarantee for the flight safety and efficiency of the unmanned aerial vehicle.

The invention discloses an X-band weather radar reflectivity data quality control method based on deep learning, and belongs to the technical field of meteorological data processing. The deep learning technology is introduced, the convolutional neural network is used for extracting the space and time characteristics of the original reflectivity data, high-precision data quality evaluation and classification are achieved, noise, low-quality and high-quality data can be efficiently recognized under the complex meteorological condition, and through real-time monitoring and a periodic optimization mechanism, the real-time performance of the system is improved. Model parameters are dynamically adjusted to adapt to data input changing in real time, the accuracy and reliability of data processing are guaranteed, through modular integration of a deep learning model, the deep learning model can be embedded into an existing meteorological system, automatic and intelligent application of data quality control is achieved, the data processing efficiency and quality control precision are remarkably improved, and the data processing efficiency is improved. And technical support is provided for the fields of weather prediction, climate research, disaster early warning and the like.

The invention discloses an intelligent component three-dimensional position acceptance method based on image and laser data fusion, and the method comprises the steps: (1) providing an oblique photography automatic correction model and employing a step-by-step detection method for solving a problem that the position of a component is difficult to accurately mark and locate by employing a single target detection network, the analysis process of the component image is divided into two independent steps of target detection and positioning. And (2) providing a point cloud segmentation and point cloud and image registration method based on environmental perception for the problem that the pose of the camera and the laser radar is difficult to calibrate in real time. By fusing the above method, the method can be successfully applied to quality detection and evaluation of the embedded plate of a certain nuclear power plant, efficient data acquisition and automatic processing are realized, and the result shows that the method can automatically analyze the three-dimensional position, the rotation angle and the missing of one wall member within 3 min, and visually displays the collision inspection result in combination with the BIM model.

The invention discloses a plug-in-based real-time acquisition and manual analysis method for webpage data without a fixed format. Real-time integrated operation of data acquisition, labeling and uploading is realized through a browser plug-in. A user selects target data through a floating window interface, and a plug-in automatically extracts content, identifies a platform source, performs quick labeling in combination with a preset analysis label and uploads the data to a background. According to the method, the flexibility of manual judgment and the high efficiency of an automation technology are fused, and the method can adapt to multiple platforms including high-protection dynamic webpages without developing a customized tool for a target website. The floating window supports operations such as dragging and zooming, so that the user experience is improved; the labeling is completed by data acquisition, so that the processing chain is effectively shortened, and the efficiency and accuracy are remarkably improved. The system supports authority management, encrypted transmission and real-time statistical analysis, and ensures data security and efficient utilization.

The invention discloses a data acquisition method based on edge computing and satellite communication technologies, and relates to the technical field of communication data processing. The method comprises the following steps: constructing an edge cloud service platform by fusing cloud computing, edge computing and 5G communication technologies; optimizing a satellite communication protocol, a modulation and demodulation technology and a signal processing technology, and performing satellite communication data transmission; and intelligent data acquisition and processing are carried out. According to the invention, by fusing the high-performance calculation and storage capability of 5G edge cloud and the wide coverage advantage of satellite communication, more efficient, real-time and wide-coverage data acquisition is realized; the technical problems of high propagation delay, bandwidth limitation, expensive spectrum resources, path loss, multipath effect, Doppler frequency shift, orbit parameter uncertainty, edge computing resource limitation and the like encountered in data acquisition of the 5G edge cloud and satellite communication technology are effectively solved.

The invention discloses an industrial control computing power expansion method based on a risc-v chip, and relates to the technical field of automation control, and the specific process is as follows: designing computing power expansion hardware based on the risc-v chip, and designing a computing power expansion program algorithm according to the computing power expansion hardware; running a program algorithm on the master controller, and judging whether the computing power and the performance of the master controller can meet a current execution program or not; if the master control can meet the current computing power and kernel framework requirements, executing a program in the master control; if the kernel architecture or the computing power of the main control cannot meet the requirements of the algorithm or the computing power, the corresponding algorithm is distributed to the industrial control board cards corresponding to the architecture and the computing power for calculation based on the architecture executed by the algorithm and the algorithm, real-time data interaction with the main control is carried out, and the industrial control board cards process data in parallel; and the master control outputs a data calculation result. According to the invention, the industrial control board card is expanded on the industrial personal computer through the expansion interface in an integrated mode of the board card, so that the expansion of the computing power is realized, and the cost of a plurality of industrial personal computers is reduced.

The invention discloses a clinical test data analysis system based on a large model, which comprises a data acquisition module, a preprocessing module, a training module, an analysis module and an output module, data acquisition is efficient and supports multiple modes, preprocessing adopts an intelligent algorithm, model training is advanced and has efficient indexes, analysis covers multiple aspects and has evaluation indexes, and result output is diversified and supports customization. The invention further comprises a corresponding data analysis method, related equipment and a medium, and each link is provided with an innovative technology and an evaluation mode to guarantee the performance and the quality; the system realizes efficient data acquisition and integration, intelligent processing and quality improvement, constructs a powerful analysis model, provides various visual result display and interpretation, has real-time updating and personalized service capabilities, can accurately evaluate the curative effect and safety, provides a scientific basis for clinical decisions, assists in improving the efficiency and accuracy of medical data analysis, and has a wide application prospect. Different user requirements are met, and development of the medical industry is promoted.

The invention belongs to the technical field of power grid equipment detection, and particularly provides a movable detection device for a V2G charging and discharging pile, which comprises a main control module, an energy storage battery, a first charging and discharging interface, a second charging and discharging interface, a bidirectional direct current converter, a BMS communication simulation module and a battery monitoring module, a compact movable structure is formed, limitation on actual vehicles and fixed sites is eliminated, detection work is allowed to be flexibly deployed in different sites, and the detection efficiency is remarkably improved. The built-in energy storage battery is used for replacing actual vehicle charging and discharging, so that the battery of the electric vehicle is prevented from being damaged, and the detection cost is reduced.

The invention provides a large yellow croaker body surface white spot disease image acquisition device based on a YOLOv5 algorithm. The large yellow croaker body surface white spot disease image acquisition device comprises a flow velocity simulation water tank (1); the flow velocity simulation water tank comprises a large yellow croaker image acquisition area (5), a flow velocity control area (25) and a water environment control area (13); an image data acquisition system is arranged at the large yellow croaker image acquisition area and comprises a plurality of cameras connected with a computer; the flow velocity simulation water tank firstly limits the swimming action of the detected pseudosciaena crocea to enable the action of the pseudosciaena crocea to be matched with the working parameters of the image data acquisition system, and then the image data acquisition system acquires the body surface image of the pseudosciaena crocea, analyzes the image based on a YOLOv5 algorithm, or trains the YOLOv5 algorithm by the acquired image; according to the invention, a large amount of independent, multi-angle and clear image data of the sick pseudosciaena crocea can be acquired, and the image data of the sick pseudosciaena crocea under the conditions of different turbidity, different illumination intensities and group movement in a culture environment can be simulated, so that the training effect of the YOLOv5 algorithm is more remarkable.

The invention discloses an intelligent multi-parameter water quality observation / monitoring terminal. The intelligent multi-parameter water quality observation / monitoring terminal comprises an equipment appearance, a lithium battery pack, a first plate layer, a second plate layer and other function auxiliary devices, the terminal is divided into an LoRa + 4G communication version terminal, an NB-IoT communication version terminal and a Wi-Fi + Bluetooth communication version terminal according to different communication modes. The three communication mode versions are slightly different in device appearance, different in part of electronic components, different in circuit connection, different in communication mode, and the Wi-Fi + Bluetooth version has a unique voice control function, and the operation modes and methods of the device are basically similar. The equipment provided by the invention breaks through the defects of dependence on cables, incapability of long-distance transmission, large volume, high price and the like of traditional equipment, and combines the advantages of wireless data transmission, remote control, multi-parameter acquisition, portability, flexibility, high-precision monitoring and the like; therefore, a more effective and scientific solution is provided for water quality parameter acquisition, data transmission and management.

The invention belongs to the field of power grid systems, and particularly relates to a digital transformation propulsion method for a new energy station. The method comprises: determining a digitized object and an activity; assigning identifiers to objects and activities to construct a set and variables, and defining set elements corresponding to the variables; constructing a logic model by utilizing the variables, and determining association between objects through an association matrix and a directed graph; a layered architecture design system is adopted according to a logic model and comprises a data acquisition layer, a data processing layer and a data application layer, each layer has corresponding functions, test optimization is performed after a component integration system is selected, the system is operated to promote digital transformation of a station, and the operation efficiency and the management level are improved. Digital transformation of the new energy station is promoted by determining digital objects and activities, giving identifiers to construct sets and variables, constructing a logic model and designing a system through a hierarchical architecture, so that the system is comprehensive, the logic is clear, the condition of the station can be accurately reflected, and the operation efficiency and the management level are effectively improved.

The utility model provides a data acquisition assembly for a battery cell and a battery pack. The data acquisition assembly for the battery cell comprises a first printed circuit board which comprises a first circuit board, a first negative electrode connecting terminal and a first positive electrode connecting terminal, and the first negative electrode connecting terminal and the first positive electrode connecting terminal are arranged at the two opposite ends of the first circuit board in the first direction so as to be capable of acquiring voltage information of the battery cell; the second printed circuit board comprises a second circuit board as well as a second cathode connecting terminal and a second anode connecting terminal which are respectively arranged on the second circuit board, the first cathode connecting terminal and the second anode connecting terminal are sequentially arranged along a second direction, and an included angle is formed between the second direction and the first direction; collection lines are arranged in the first circuit board and the second circuit board; and the antenna bus is arranged along the second direction and corresponds to the acquisition line in the vertical direction, and the antenna bus is in communication connection with the acquisition line. According to the technical scheme, the length of the antenna bus is short, and the production cost is low.

The invention relates to the technical field of fluvial sediment digitization, in particular to an ISfM-PMVS fluvial sediment digitization modeling method based on images collected by a smartphone, high-resolution multi-view images can be obtained in a short time through an ISfM method in combination with the smartphone, and the method is suitable for quickly constructing a three-dimensional digital model. By combining SfM and PMVS technologies, a high-density three-dimensional point cloud and a digital orthoimage (DOM) can be generated, so that data not only contain geometric information, but also contain rich color and texture information; three-dimensional model parameters are optimized through RANSAC and bundle adjustment (BA), and the accuracy of sparse point clouds is ensured. The portable characteristic of the smart phone allows efficient data acquisition in complex terrains and harsh environments, and the generated data model can accurately reflect the actual conditions of geological points.

The invention discloses an on-site data acquisition gateway, which comprises a shell, a main control board, a power supply module, an interface array, a cooling assembly, a buffer assembly, a sealing assembly and an electromagnetic shielding layer, an accommodating cavity is formed in the shell, and a functional opening is formed in the shell; the main control board is arranged in the accommodating cavity; the power supply module is arranged in the accommodating cavity; the interface array is embedded in the interface array opening; the cooling assembly comprises a fan, heat dissipation fins, a flat heat pipe and a circulating water path, a first plate part of the flat heat pipe abuts against the main control board and the power module, a second plate part of the flat heat pipe is embedded in the heat dissipation opening, the circulating water path is arranged in the heat dissipation fins, one side of each heat dissipation fin abuts against the second plate part, and the other side of each heat dissipation fin is fixedly connected with the fan; a plurality of oil buffers of the buffer assembly are fixedly connected with the main control board and the shell respectively; a plurality of sealing pieces of the sealing assembly are respectively arranged at the functional openings; and the electromagnetic shielding layers are uniformly distributed along the inner wall of the shell.

The invention relates to a multi-unmanned aerial vehicle and vehicle collaborative data acquisition method and system for dynamic arrival, and the method comprises the steps: firstly constructing an acquisition model comprising a vehicle, unmanned aerial vehicles and a data center, then constructing a global data acquisition and adjustment scheme, finally executing the global data acquisition scheme, and executing the adjustment scheme when a new task arrives; the global data acquisition scheme comprises parking node selection, data acquisition node distribution, vehicle route and flight route planning and distribution and other schemes, and the adjustment scheme comprises newly added data acquisition node division, local and global data acquisition and other schemes; through the advantages of flexibility of the unmanned aerial vehicle, high endurance of the vehicle and the like, the target area is decomposed, meanwhile, multiple acquisition schemes are constructed to cover various different conditions in the data acquisition process, newly-added tasks are adjusted in real time through the adjustment schemes, and the task dynamic arrival speed is improved under the scene that the tasks arrive dynamically. The multiple unmanned aerial vehicles and the vehicles cooperatively and efficiently collect data, and the adaptive capacity of the collection scheme is improved.

The invention discloses a farmland ammonia volatilization loss detection method and system based on the Internet of Things, and belongs to the technical field of farmland ammonia volatilization monitoring, and the method comprises the steps: determining the boundary of a target field, collecting data through a sensor, and transmitting the collected data to a cloud for centralized management; the method comprises the following steps: simulating and measuring reaction rates of ammonia at different temperatures and humidity, and constructing a farmland ammonia parameterized model for calculating a reaction rate constant k; extracting environmental factors from sensor data according to the collected data, and synthesizing the sensor data to obtain ammonia concentrations at different positions and at different times; extracting ammonia concentration data at different heights, generating concentration profile data, obtaining dynamic change of ammonia concentration at the vertical height, and calculating to obtain an instantaneous ammonia volatilization flux formula; and constructing a three-dimensional concentration distribution model for describing the ammonia concentration distribution of each position in the farmland along with the height change, and calculating according to the three-dimensional concentration distribution model to obtain the total ammonia volatilization amount of the farmland.

The utility model belongs to railway electrification contact net intelligent monitoring technical field, concretely relates to a kind of non-contact contact net catenary vibration detection system. It aims at solving the problem of poor coordination of the detection position not adjustable. The utility model includes: fixed mechanism, transmission mechanism, sensing mechanism and control mechanism;Fixed mechanism is used to form fixed cooperation with contact net pillar, and fixed mechanism is used to fix and support transmission mechanism, sensing mechanism and control mechanism;Transmission mechanism is installed on fixed mechanism, sensing mechanism is assembled on transmission mechanism, transmission mechanism is used to drive sensing mechanism adjustment detection position, and the detection end of sensing mechanism is set towards contact net catenary;Control mechanism is installed on the contact net pillar fixed, used to drive transmission mechanism to make sensing mechanism movement, and control sensing mechanism detection. The utility model realizes catenary vibration non-contact, high-precision, full-automatic detection, solves the problem of detection blind area and data interruption, and the operation and maintenance cost is low.

The invention discloses a data speed limiting system based on custom reports, comprising a report template configuration module, a data restriction module, a data acquisition module, and a report generation module. The report template configuration module is used for generating an empty report template and configuring a data type and a format; the data restriction module is used for configuring acquisition object information, acquisition time information, and an acquisition threshold; the data acquisition module acquires data of a selected user object within a selected acquisition time according to the acquisition object information and the acquisition time information and forms a data packet, and passes or discards the data packet according to the acquisition threshold; the report generation module is used for configuring the report generation time, and extracts the passed data packets and the empty report template respectively at the report generation time, and fills the passed data packets into the empty report template to generate a report; the invention has the function of being able to efficiently generate data reports of different data types and formats, and being able to effectively restrict the data.

The invention discloses a vital sign monitoring system, which is generally divided into three modules, and comprises a sensor data acquisition module used for acquiring all-around human body vital signs in real time, and the acquired vital signs comprise electrocardiogram, oxyhemoglobin saturation, diastolic pressure, systolic pressure, body temperature and heart rate; the central processing unit is a Hua Da single-chip microcomputer, is used as a control unit of the system, and is used for analyzing the data acquired by the sensor and storing the data in the central processing unit; the communication module uses a 4G module to communicate with the central processing unit, the module is connected with a cloud end through a base station and uploads processed various physical sign data to a cloud platform, and various physiological physical signs of a measured object can be remotely monitored in real time through a Web visual interface. The human body all-sign health monitoring system provided by the invention can monitor human body all-signs in real time, facilitates remote evaluation of human body health conditions, and can be applied to various scenes in multiple fields.

The invention relates to an acquisition table data filling and reporting method and system, which realizes data acquisition work of enterprises and public institutions at all levels by adopting a visual interface design and an online data filling and reporting mode which are mutually compatible with Excel operation, and realizes data acquisition work of the enterprises and public institutions at all levels through the capabilities of online data filling and reporting, data verification, data calculation, data summarization and the like. A series of problems of tedious traditional manual filling, inaccurate data, difficult data summarization and the like are solved, the efficiency and the effect of data acquisition are improved, and the method plays an important role in improving the data collection and utilization efficiency and better exerting the data value.

The present invention discloses a remote communication method for a rock mechanics test system, which belongs to the field of rock mechanics test equipment. The data processing flow of the present invention includes the steps of data preprocessing, feature representation, intelligent filtering, dynamic filtering processing, effect evaluation and optimization, and real-time feedback. The intelligent filtering algorithm selects an appropriate filtering strategy based on the output characteristics of the Transformer model encoder to ensure data quality. The present invention has the advantages of realizing remote communication and control, enhancing model generalization ability and robustness, and adaptive learning.

The embodiment of the invention discloses a multi-source heterogeneous automobile credit data collection and processing system and method, and relates to the technical field of data processing, and the system comprises a multi-source data collection module which is used for collecting a plurality of types of data from a plurality of data sources; the data processing module is used for performing data cleaning and format normalization on the automobile credit data acquired by the multi-source data acquisition module; the data storage module is used for respectively storing the data processed by the data processing module in different servers according to a preset rule; the data analysis module is used for carrying out data statistics and carrying out risk assessment and default prediction by using a data analysis model; and the data report generation module is used for generating a visual report according to the statistical data and the prediction result of the data analysis module. According to the multi-source heterogeneous automobile credit data acquisition and processing system, efficient and multi-source data acquisition and risk assessment can be realized based on mutual cooperation of the modules, and the debit and credit risk can be assessed more accurately.

The invention provides a mean field gradient observation system and a control method thereof, and a storage medium, the mean field gradient observation system comprises a main control unit, a computer device, a data bus, a plurality of collectors and a plurality of sensor subsystems, the plurality of collectors and the plurality of sensor subsystems are arranged at different observation heights, a first end of each collector is connected with one sensor subsystem, and a second end of each collector is connected with one sensor subsystem; the second end of each collector is connected to the data bus through a sub-bus; the sensor subsystem is used for outputting different meteorological element signals; the collector is used for collecting meteorological element signals, converting the meteorological element signals into meteorological element data and sending the meteorological element data to the main control unit; the main control unit is used for indicating the plurality of collectors to collect data from the sensor subsystem and receiving meteorological element data returned by the collectors; and the computer equipment is used for receiving the meteorological element data sent by the main control unit. According to the observation system, meteorological elements at different heights in the atmosphere can be observed, the robustness of the observation system is enhanced, and the test cost is saved.

The embodiment of the invention discloses a simulation data acquisition and storage system and method. In a specific implementation mode, the system comprises a simulation test data acquisition unit which is used for acquiring simulation data of a simulation test engine according to an interface description file provided by a tester and is also used for writing the simulation data into a database table; and the processor is used for establishing a database table in the database according to the interface description file provided by the tester. Data are processed and written into a database, and efficient data collection and storage are completed. Meanwhile, through introduction of an interface description file, a data structure of simulation data needing to be collected and processed is determined in advance, and the automation degree of the process is improved.