56results about How to "Realize data collection" patented technology

The invention discloses a crop disease remote sensing monitoring and early warning system based on time sequence spectral information analysis, and relates to the technical field of agricultural disease and insect pest monitoring. Computer drawing software is utilized to divide a corn planting field in equal proportion, and sensors are deployed to monitor the growth environment change in each grid in real time and generate microenvironment data information; the method comprises the following steps: calculating a microenvironment difference index Xbd according to microenvironment data, identifying a microenvironment difference aggregation area and sending a risk analysis instruction, after receiving the risk analysis instruction, capturing related spectral data information of the microenvironment difference aggregation area by using an unmanned aerial vehicle and a multispectral sensor, and constructing a multispectral fluctuation coefficient Xgp by analyzing related spectral data, and comparing the calculated rust disease risk assessment index Zpg with a preset threshold W in combination with the microenvironment difference index Xbd and the trained risk assessment model, and obtaining corresponding grade early warning according to the rust disease risk degree.

The invention discloses a complex scene multi-source heterogeneous data acquisition and monitoring diagnosis method and device, and the method comprises the steps: collecting multi-source heterogeneous data of an object to be monitored and diagnosed, and carrying out the data cleaning, data preprocessing, feature extraction and fusion of the multi-source heterogeneous data, so as to obtain a feature data set; and constructing and training a causal decoupling representation learning model based on input and output driving by using the feature data set and the data after data cleaning, so as to extract decoupling representation of a to-be-monitored diagnosis object, deduce a causal relationship between variables, and obtain a to-be-monitored diagnosis object. Wherein the causal decoupling characterization learning model comprises an external source control conversion network and a double-view evolution modeling and causal inference network, and the trained causal decoupling characterization learning model is used as a heterogeneous signal monitoring and diagnosis model and is used for monitoring the state of an object to be monitored and diagnosed and diagnosing the root cause of a fault of the object to be monitored and diagnosed. According to the invention, data acquisition, state monitoring and fault reason diagnosis can be integrally realized, the cost is saved, and the application prospect is wide.

The invention provides a semiconductor equipment data acquisition method and a semiconductor equipment data acquisition system supporting standardized communication transformation, which are used for realizing data acquisition and process control on different types of semiconductor equipment, formulating corresponding communication rules for equipment conforming to a communication standard, and converting an equipment communication protocol by a cluster system so as to match a standard interface. For equipment which does not completely meet the standard but can realize communication through programming, the trunking system directly acquires required data and converts the required data to meet the standard interface specification. For equipment without communication capability, data is acquired through an equipment interface by adopting an image recognition technology, data input and function operation are realized through simulating keyboard and mouse operation, and finally, protocol conversion from data to a standard interface is completed by a cluster equipment control system. And the equipment data is converted into a message data packet conforming to a standard semiconductor equipment communication interface, so that docking with a semiconductor equipment data analysis and process control system is realized, and the production efficiency and quality of the semiconductor equipment are improved.

The invention relates to the technical field of Internet of Things gateways, in particular to an Internet of Things gateway and an operation method thereof. The method comprises the following steps: acquiring power system data, and constructing a power grid node topological structure diagram, so as to form a power system Internet of Things gateway; based on an Internet of Things gateway, power grid transmission demand prediction is carried out, an abnormal load state is analyzed, abnormal fluctuation of voltage and frequency is detected, and the stability of a power system is ensured; according to the frequency abnormity and voltage fluctuation data, the aging trend of power grid equipment is estimated, power resource loss estimation is carried out, abnormity early warning is carried out on power resource loss and equipment damage prediction data by utilizing an Internet of Things gateway, safe operation of a power grid is ensured, and early warning information is fed back to a terminal in time. According to the method, the intelligent level of the power system is effectively improved, and efficient resource configuration and fault management can be realized. According to the method, the Internet of Things gateway early warning is optimized, so that the Internet of Things gateway prediction is more efficient and accurate.

The invention relates to a roadbed compaction quality monitoring, management and maintenance method and system based on virtual and real index collaboration. The method comprises the following steps: step 1, establishing an indoor compaction test for reproducing on-site roadbed compaction conditions, and establishing a data set of the indoor test; 2, implementing a field test on roadbed pressure, and establishing a data set of the field test; 3, building a roadbed compaction quality prediction model based on virtual and real data collaborative training; and 4, carrying out construction management and control application on the roadbed compaction quality prediction model based on virtual and real index collaborative prediction. According to the method, the influence of roadbed filler parameters, road roller working parameters and external environment parameters of roadbed compaction on the compaction quality is fully considered, multiple virtual-real indexes cooperate with one another to establish an artificial neural network compaction quality prediction model of the roadbed compaction quality, and the model is optimized and improved while being migrated to engineering practical application. And real-time accurate monitoring, management and maintenance of the compaction quality are realized in the on-site roadbed compaction process.

The invention belongs to the field of network data transmission, and provides a network data transmission system and method for star flash distributed networking. The network data transmission system of the star flash distributed networking comprises a terminal, an early warning device, a server side and a total server, the terminal, the early warning device, the server side and the total server are embedded with satellite flash radio frequency modules; the server side and the total server are servers and are provided with wireless network devices with satellite flash to network ports, so that a satellite flash radio frequency interface is converted into a network port interface; the terminal, the early warning device, the server side and the total service side are all embedded into a TCP / IP protocol stack so as to be used for establishing a SOCKET and processing SOCKET data, so that the whole network performs data interaction through a TCP / IP protocol, and data acquisition, control and emergency alarm in a local area network are realized.

The invention discloses a lightning arrester visual monitoring device based on leakage current monitoring, which adopts a cross-core current transformer to detect the leakage current of a lightning arrester and the number of lightning protection actions, display the current value and the number of actions, and transmit wireless transmission data to realize on-line monitoring, so that the degraded lightning arrester can be found in time, and serious faults can be avoided. The maintenance efficiency is improved; a lightning arrester visual monitoring device based on leakage current monitoring comprises a shell, a power supply, a display screen, an antenna, a cross-core current transformer and a circuit board, the shell is composed of a bottom plate, a box body and a cover plate, the circuit board is arranged in the shell, one side of the shell is provided with the antenna, the other side of the shell is provided with an access power supply, and the output end of the power supply is connected with the circuit board. The circuit board is connected with the antenna; the straight-through current transformer is arranged on a threading pipe in the box body in a sleeving manner, the straight-through current transformer is connected with the bottom plate through a fixing clamp, and the output end of the straight-through current transformer is connected with the circuit board; and a display screen is arranged on the cover plate.

The utility model provides a high-voltage switch assembly and a power distribution switch. The high-voltage switch assembly comprises a plurality of SiC MOS tube modules, a control module and an isolation driving module connected with the SiC MOS tube modules. The SiC MOS tube module is connected to a direct current bus; any one of the SiC MOS tube modules is connected with one of the isolation driving modules; and the control module is connected to the isolation driving module so as to control the turn-off or turn-on of the SiC MOS tube module through the isolation driving module. The high-voltage direct-current system can meet the requirement of a power distribution network within the 1500V high-voltage direct-current level, and the cost of the high-voltage direct-current system is

The invention discloses a power distribution network operation and maintenance inspection device and method based on artificial intelligence, and relates to the technical field of power distribution network operation and maintenance inspection. The power distribution network operation and maintenance inspection device comprises an inspection device bottom plate, the top of the inspection device bottom plate is provided with a high-strength aluminum alloy main body, and the top of the high-strength aluminum alloy main body is provided with a fixed seat; an electric telescopic rod is mounted at the top of the fixed seat, and a holder movement module is mounted at the output end of the electric telescopic rod; and the holder movement module is used for controlling the horizontal and vertical rotation of the visual monitoring module. The holder movement module is installed, the height of the visual monitoring module is adjusted through an electric telescopic rod, and movement is conducted through a connecting rod mechanism composed of a first movable seat, a first linear connecting rod, a second movable seat, an L-shaped connecting rod, a third movable seat, a second linear connecting rod and a fourth movable seat; the rotation of the mounting seat and the visual monitoring module in the horizontal and vertical directions is realized, so that the monitoring range and flexibility are improved, complex terrains and monitoring requirements are met, and the operation and maintenance efficiency and accuracy are improved.

The invention discloses an intelligent workshop data acquisition and analysis system, and belongs to the technical field of intelligent manufacturing. The system comprises a data management module, a performance prediction module and a performance analysis and monitoring module. The data management module provides necessary data basis and support for performance prediction, analysis and optimization of the intelligent workshop by efficiently collecting, transmitting and managing workshop production data; the performance prediction module realizes accurate prediction of production line performance and early identification of potential problems through parameter selection, index prediction visualization and bottleneck identification functions; the performance analysis and monitoring module supports global or local performance visualization after production line selection, integrates a prediction result and actual performance data through an intuitive visual interface and a real-time data flow updating mechanism, ensures that a user can know the production state and trend in time, provides decision support and scheduling optimization suggestions, and improves the production efficiency. And continuous improvement of the production process is realized.

The invention discloses an injection molding raw material warehousing registration management system based on Internet of Things, which belongs to the technical field of warehousing registration management systems and comprises a raw material information acquisition module, a warehousing registration terminal, a data transmission and storage system, an inventory management module, a raw material tracing module, a report and statistical analysis module and a user management module. According to the injection molding raw material warehousing registration management system, by introducing the Internet of Things module, real-time monitoring and data collection of raw materials from warehousing to inventory management are achieved, and the data accuracy and timeliness are improved. The new warehousing registration terminal simplifies the process and ensures data integrity and consistency. The new inventory management module adopts a series of innovative technologies, a prediction model accurately predicts demands, a visualization function helps a manager to discover problems in time, a scheduling system optimizes configuration, a sharing cooperation mechanism promotes information sharing and cooperation, the response capability and flexibility of a supply chain are enhanced, and powerful support is provided for enterprise purchase and production.

The invention belongs to the technical field of epoxy resin and impregnated paper sample wafer aging defect diagnosis, and discloses an epoxy resin and impregnated paper sample wafer aging defect diagnosis and service life prediction system. Comprising a thermal aging treatment module, a dielectric property test module, a main control module, a mass loss calculation module, an aging degree analysis module, a physicochemical property detection module and a life prediction module. According to the invention, a thermal aging test platform for the epoxy resin sample wafer and the epoxy impregnated paper sample wafer is established, the research on the aging degree rule of the sample wafer is completed from multiple angles of dielectric properties, Fourier infrared spectroscopy, mass loss rate and scanning electron microscope, and the research on the aging degree rule of the epoxy resin sample wafer and the epoxy impregnated paper sample wafer along with the deepening of the aging degree is elaborated. The changes of the surface appearance and the micromolecular structure of the dry-type bushing are explained in combination with the dielectric property, and a theoretical basis is provided for subsequent dry-type bushing aging degree judgment.

The invention provides a stylized lane changing scene reconstruction method based on natural driving data, and the method comprises the following steps: collecting the natural driving data, and obtaining the state information of a main vehicle and the state information of other traffic participants; according to a free lane changing scene extraction algorithm, free lane changing scene fragments are mined and extracted from the natural driving data; performing clustering analysis on the extracted free lane changing scene fragments to obtain different types of free lane changing fragment data sets; according to a vehicle trajectory generation method, generating different types of free lane changing fragment trajectory files from the obtained different types of lane changing scene fragment data; and according to the different types of free lane changing fragment trajectory files, generating different types of free lane changing simulation scene files based on a Modeldesk scene generation method. In the creation of the invention, the data set of the free lane changing scene is rich, the scene is diversified, the scene identification extraction and generation efficiency is high, and the simulation precision and the scene reproduction capability are effectively improved.

The invention relates to the technical field of network security, in particular to a WEB application mimicry judgment system and method.The WEB application mimicry judgment method based on runtime data is characterized in that a parameter collection module is used for implanting instrumentation codes in key functions of WEB application programs and collecting runtime parameters of the WEB application programs in real time; the event conversion module is used for converting the acquired runtime parameters of the plurality of heterogeneous execution bodies into structured runtime events; the sequence alignment module is used for carrying out time sequence alignment on runtime events from different heterogeneous executors according to the business operation labels; and the risk judgment module is used for vectorizing the aligned text data of the runtime events, calculating a plurality of judgment factors and performing weighted fusion to generate a final confidence score, and performing feedback control to judge whether to trigger an execution body rotation operation or not according to the confidence score. According to the method, the WEB application runtime parameters are collected, through event conversion, sequence alignment and multi-factor weighted decision, the WEB application abnormal attack recognition accuracy is greatly improved, and the defect of traditional flow decision is effectively overcome.

The invention relates to a testing device for testing multi-type photovoltaic power generation performance and a testing method thereof.The testing device comprises a plurality of testing modules and an electric quantity information monitoring module, and each testing module is located between a grid-connected bus and a corresponding photovoltaic module; the test module comprises a first current detection unit, a DC-DC conversion unit and a second current detection unit, the signal input end of the first current detection unit is used for collecting electric quantity information of the photovoltaic module before the photovoltaic module is input into the DC-DC conversion unit, and the signal input end of the second current detection unit is used for collecting electric quantity information of the photovoltaic module after the photovoltaic module is input into the DC-DC conversion unit; by integrating a plurality of test modules, complex equipment and operation required in a traditional photovoltaic panel power generation performance test are simplified into a unified test device, each test module independently detects and processes electric quantity information of different photovoltaic modules, and automatic data acquisition and monitoring are realized in cooperation with an electric quantity information monitoring module and a remote terminal module. And the consumption of manpower and material resources is reduced.

This invention discloses a device and method for evaluating the proppant-carrying performance of fracturing fluid with continuously adjustable proppant concentration, relating to the field of oil and gas field production enhancement. The device includes a reactor body. The reactor body is equipped with a stirring assembly, a proppant-adding assembly, a heating assembly, and a visualization window. The proppant-adding assembly achieves quantitative and batch-wise addition of proppant within the high-pressure reactor through a series of upper valves, a proppant-to-be-added section, and a lower valve. The method includes: applying experimental temperature and pressure conditions, initiating stirring to simulate dynamic flow, continuously adding proppant in batches through the proppant-adding assembly, monitoring the proppant status in real time using a vision system, and recording and analyzing data to obtain a continuous proppant-carrying performance curve and a limit proppant-carrying value. This invention solves the problem of existing technologies being unable to conduct continuous gradient testing of proppant concentration under high-temperature and high-pressure dynamic conditions, and can obtain complete proppant-carrying performance data of fracturing fluid from low concentration to limit concentration in one go, with evaluation results closer to actual downhole operating conditions.

The invention discloses an internet platform big data operation and maintenance monitoring and intelligent analysis integrated platform which comprises an operation and maintenance workbench, sub-platforms and a unified operation and maintenance knowledge base. The operation and maintenance workbench is used by management and operation and maintenance personnel and is used for managing the system and setting system functions; the sub-platform is used for providing full-chain operation and maintenance management and data analysis services from data acquisition, monitoring, alarm processing and standardized operation and maintenance operation to data visual analysis, knowledge management and resource configuration; and the unified operation and maintenance knowledge base is used for providing query, contribution, auditing and management of the unified operation and maintenance knowledge base. According to the invention, the integrated operation and maintenance platform integrating monitoring, management and control functions is constructed, the platform takes data as a core basis and value creation as a final target, and is tightly combined with an actual application scene, so that the data insight ability of an information department in the aspect of operation and maintenance operation is remarkably enhanced, and the operation and maintenance efficiency is improved. Therefore, the reliability of the platform and the continuity of services are ensured to a greater extent.

The invention discloses an oil film bidirectional reflection characteristic on-site measurement device and an oil film thickness inversion correction method, and belongs to the technical field of image processing, and the oil film bidirectional reflection characteristic on-site measurement device comprises an experiment pool which contains an oil-water mixed sample; the annular guide rail is arranged around the experimental water tank; the camera support is arranged on the annular guide rail in a sliding mode, and a fixing base capable of rotating around a horizontal shaft and a vertical shaft is arranged at the upper end of the camera support; the hyperspectral camera is fixed on the fixed seat and is used for measuring the radiance of the experimental pool; and the irradiance meter is used for measuring the irradiance of the sunlight. The oil film bidirectional reflection characteristic on-site measurement device is simpler in structure and easy to implement, and the spectrum difference caused by different visual angles of the sensor is eliminated. And the accuracy and reliability of oil type identification and thickness inversion are greatly improved.

The present disclosure provides a traffic event data collection method, system, electronic device and storage medium to solve the problem that vulnerable road users are difficult to trigger or obtain traffic event record information, the method comprising: continuously monitoring the user state; in response to the user state reaching a preset traffic event triggering condition, recording and storing the user state information within a preset time range before and after the occurrence of the traffic event; further determining whether the user state reaches a preset locking condition; if yes, locking the traffic event and the corresponding generated traffic event data and reporting to the traffic event management platform; and notifying the jurisdictional roadside event record device and the vehicles within a certain range to record the current traffic state information synchronously. The present disclosure can trigger the data collection work of the traffic event from the perspective of vulnerable road users.

According to the appliance aging test method and device, the storage medium and the computer equipment provided by the invention, after it is detected that the appliance to be tested is connected with the charger and the automatic test is started, the appliance is charged through the charger until the electric quantity of the appliance reaches the upper limit threshold, charging is stopped; then heating and aging the appliance according to a preset discharge heating link so as to ensure the consistency of test conditions in the test process until the electric quantity of the appliance is lower than a lower limit threshold value, recording test data of the appliance in the current round, and collecting the test data based on active collection and passive collection modes in a data collection strategy; automatic data acquisition under various acquisition requirements can be met; and finally, updating and adding the database according to the test data, and returning to the charging of the appliance through the charger and the subsequent steps until it is detected that the appliance is disconnected from the charger, so that the charge-discharge cycle of the appliance aging test is realized, and the large-scale and high-efficiency production test requirements are met.

The present invention relates to the field of data processing, and specifically to a semantic label construction method, a river and lake water environment early warning method and system based on semantic label construction. The early warning method first constructs semantic labels describing river and lake problems based on corpus-type original data describing river and lake problems, and obtains semantic label sample set data; collects numerical original data through equipment and processes it to obtain numerical feature sample set data; aligns and fuses the semantic label sample set data with the numerical feature sample set data to obtain a model training data sample set; uses the model training data sample set to train a river and lake water environment early warning model; and uses the trained river and lake water environment early warning model to perform early warning analysis on the river and lake water environment. The present invention uses corpus describing water quality conditions to construct semantic labels, which solves the problem that the training data and model performance are limited by the coarse time granularity and sparse spatial distribution of water quality detection data.

The invention discloses a well drilling and workover energy storage system with potential energy recovery. The well drilling and workover energy storage system comprises an electrochemical energy storage unit, a first bidirectional energy storage throttler, a second bidirectional energy storage throttler, a third bidirectional energy storage throttler, a rectification feedback device and an energy management system, the electrochemical energy storage unit is connected with the third bidirectional energy storage throttler, the third bidirectional energy storage throttler is connected with the second bidirectional energy storage throttler and the generator, the second bidirectional energy storage throttler is further connected with the first bidirectional energy storage throttler and the rectification feedback device, and the rectification feedback device is further connected with the generator. The first bidirectional energy storage throttler is also connected with load equipment; and the energy management system is in communication connection with the electrochemical energy storage unit, the first bidirectional energy storage throttler, the second bidirectional energy storage throttler, the third bidirectional energy storage throttler and the rectification feedback device.

The invention provides a low earth orbit satellite communication method, device and system and a storage medium, which are applied to the technical field of satellite communication, and the method comprises the following steps: receiving an uplink resource request sent by user section equipment through ground section equipment; the uplink resource request comprises a service requirement of the user section equipment; sending an uplink transmission permission to the user segment equipment according to the uplink resource request, and receiving a cache state report sent by the user segment equipment; the cache state report is used for representing the data transmission state of the user section equipment; determining an uplink transmission resource allocated to the user section equipment according to the cache state report and a data transmission state, estimated in the flight window time, of the low-orbit satellite; sending a first downlink control instruction to the user section equipment; the first downlink control instruction comprises an uplink transmission resource and is used for indicating the user section equipment to transmit uplink data to the low-orbit satellite on the uplink transmission resource. By adopting the technical scheme of the invention, the construction cost of the ground base station can be reduced and the communication coverage can be enlarged.

The application provides a face image acquisition system, a correction method and an acquisition method based on spherical linear polarization technology, and belongs to the technical field of face three-dimensional reconstruction. The system comprises a spherical architecture, fixed light sources, a camera group and a control device. Each fixed light source is composed of a plurality of light source groups, each light source group comprising at least two light sources provided with polarizing plates. The camera group comprises a plurality of cameras provided with polarizing plates, and the plurality of cameras correspond one-to-one to the plurality of light source groups in the fixed light sources. When acquiring images, any camera in the camera group time-divisionally lights up the light sources with two polarization directions in the light source group corresponding to the camera, the polarization states of the light sources lighted up each time are completely consistent, and face images under two polarization states are acquired. By increasing the number of light bead groups on each light source, the plurality of cameras can simultaneously acquire face light field data, and the data acquisition of the whole face range of the face can be realized without moving the subject to different positions.

The invention relates to the technical field of electronic data processing, in particular to a multi-task real-time operating system scheduling optimization method for a PPEC controller. The method comprises the following steps: constructing a physical time snapshot of interrupt response by using a hardware timer and a direct memory access unit, and collecting entry and exit moments when a rigid control task is interrupted by a non-control task; calculating time debt based on the interruption physical duration, constructing a space-time mapping model in combination with the power grid reference angular frequency, and converting the time debt into a phase lag angle of a voltage space vector; and comparing the time debt with an atomic operation time threshold value, dynamically switching to a compression mode or a fusing mode according to the time debt and the atomic operation time threshold value, and executing task scheduling according to the selected mode. According to the method, the time drift is mapped into the vector phase error of the physical layer, so that the problems of waveform distortion and control divergence caused by sudden interruption are solved, and the physical synchronization of control is ensured.

The invention discloses a medicine inspection sample preparation method and device, and belongs to the technical field of medicine inspection. According to the method, through the key steps of gradient alkalifying pH linkage control, gradient elution, temperature programming drying quality monitoring, pre-enrichment and the like, accurate treatment of a test solution is realized; the core lies in that a capillary microfluidic analysis chip with a multi-layer composite structure is adopted, the channel size matching and connection design is optimized, and the sample treatment efficiency and purity are improved. The corresponding device integrates an intelligent control system, a pH monitoring module, a laser particle size monitoring module and the like, and full-process automatic control is achieved. The defects that in the prior art, operation is tedious, the automation degree is low, sample loss is large, and a micro-fluidic chip is large in dead volume are overcome, the prepared sample is high in purity and accurate in concentration, the method is suitable for various types of samples to be tested, the accuracy and efficiency of drug inspection can be remarkably improved, and the method has important industrial application value.

The application discloses a deep fracture visual photoacoustic magnetic cooperative in-situ measurement device, which comprises a measurement robot placed in a borehole, a cable lowering device placed near a borehole mouth and an upper computer placed outside the borehole. The measurement robot can realize in-situ measurement of fracture networks at different positions in the borehole and has the function of autonomous travel. The cable lowering device mainly realizes depth position sensing of the measurement robot through a depth editor and realizes data communication between the measurement robot and the upper computer. The application further discloses a deep fracture visual photoacoustic magnetic cooperative in-situ measurement method. The application can realize feature area sensing search, autonomous cruise and rapid acquisition of multi-source data, and in combination with a subsequent data processing method, high-precision in-situ measurement and visualization of deep fracture networks can be realized.

The present invention proposes a wearable pupil monitoring device and method based on a flexible near-infrared point array detector. The device and method do not require an infrared camera and lens. The flexible near-infrared detector point array closely fits the eyelid surface to accurately detect the near-infrared light signal transmitted by the closed pupil. At the same time, dynamic closed-eye pupil monitoring is achieved by establishing a closed eyelid pupil image processing model and using a genetic algorithm as an optimization algorithm. The device and method not only provide users with a convenient and lightweight way to dynamically monitor pupil size in the closed-eye state, but also improve the accuracy and reliability of pupil monitoring in the closed-eye state.

The invention relates to the technical field of safety evaluation, in particular to a recreation facility driving safety intelligent evaluation system based on artificial intelligence. Comprising a data acquisition module, an intelligent evaluation platform and a visual terminal, the intelligent evaluation platform is used for performing feature extraction and modeling on the collected operation parameters, and calling an artificial intelligence algorithm to generate a safety level evaluation result corresponding to the driving state; the artificial intelligence algorithm comprises a state recognition model based on deep learning and a risk prediction model based on probability inference, the state recognition model is used for judging the operation mode of the driving mechanism, and the risk prediction model is used for predicting the occurrence probability of potential faults. The method comprises the following steps: constructing a data acquisition module to acquire operation characteristic parameters of a driving device; introducing an artificial intelligence model, and performing feature extraction and anomaly detection on the data; based on the historical operation data and the model, generating a security level and predicting a potential risk; and an evaluation result is transmitted to a visual terminal, so that a manager can make a decision immediately.

The invention discloses a hot bed platform data acquisition method and system of a printer. The method comprises the steps that temperature data and heat flow data of multiple position points on the surface of a hot bed platform in the operation process are monitored in real time; calculating a temperature stability index and a temperature uniformity index according to the temperature data; calculating a heat flow stability index and a heat flow uniformity index according to the heat flow data; calculating a thermal environment monitoring index according to the temperature stability index, the temperature uniformity index, the heat flow stability index and the heat flow uniformity index; and taking the temperature data and the heat flow data as original data, and taking the temperature stability index and the temperature uniformity index, the heat flow stability index and the heat flow uniformity index, and the thermal environment monitoring index as processed data for packaging to obtain a thermal environment data set. According to the embodiment of the invention, data acquisition and intelligent management of the hot bed platform of the printer can be realized, the processing precision of the 3D printer can be improved, the printing quality can be improved, and the service life of equipment can be prolonged.