31results about How to "Realize full automation" patented technology

The invention discloses an autonomous evolution type 5G protocol fuzzy test system based on a large language model, and the system comprises a protocol extraction unit which employs the large language model to analyze a 5G protocol specification document, and extracts structured protocol knowledge elements containing a message format, state machine logic and parameter constraints; the vulnerability analysis unit generates a potential vulnerability description list through big language model reasoning based on the knowledge elements; the test strategy generation unit drives a large language model to generate a targeted test case based on protocol knowledge, vulnerability description and historical test knowledge in the dynamic test knowledge base; the test execution unit executes the use case and captures a result; and feeding back an analysis result of the internalization unit, extracting a causal rule, generating new test knowledge and feeding back the new test knowledge to the knowledge base. According to the system disclosed by the invention, test targets and resources can be autonomously scheduled according to continuous updating of the knowledge base, so that the test process has an iterative optimization capability, and full-process automation and intelligentization of 5G protocol fuzzy testing are realized.

The invention relates to a 3D printing sand mold cleaning device which is characterized by comprising an automatic sand cleaning room, a roller shutter door arranged at an inlet of the sand cleaning room, an automatic transfer trolley used for bearing and transferring a sand mold, a sand cleaning mechanism, an air supply system and a control unit. The sand cleaning mechanism comprises a plurality of sand cleaning actuators and a driving mechanism used for driving the sand cleaning actuators to do linear movement independently. An automatic sensing device is arranged on each sand cleaning actuator and is used for detecting the distance between the automatic sensing device and the surface of the sand mold in real time in the moving process; the control unit is in signal connection with the driving mechanism, the automatic induction device and the air supply system. The invention further relates to a sand cleaning method for the 3D printing sand mold. According to the scheme, the problem that a traditional automatic sand cleaning device cannot treat sand molds with complex inner cavities, deep cavities or special-shaped structures can be solved.

The application relates to a seam welding packaging device and relates to the technical field of electronic component packaging. The seam welding packaging device comprises a machine shell, a positioning mechanism, a feeding mechanism, a material moving mechanism and a packaging mechanism. The machine shell is provided with a sealed cavity, and the sealed cavity is provided with a mounting seat. The positioning mechanism comprises a positioning table arranged on the mounting seat. The feeding mechanism comprises two feeding assemblies arranged in the sealed cavity. The two feeding assemblies are arranged in the left-right direction at intervals. One of the two feeding assemblies is used for supplying a base body, and the other feeding assembly is used for supplying a cover body. The material moving mechanism comprises two material moving assemblies arranged on the mounting seat. One of the two material moving assemblies is used for moving the base body to the positioning table, and the other material moving assembly is used for moving the cover body to the base body on the positioning table. The packaging mechanism comprises a seam welding machine arranged in the sealed cavity. The seam welding machine is movably arranged, so that the roller electrode of the seam welding machine can roll and press weld the base body and the cover body.

The application relates to the technical field of injection molds, and particularly discloses an automobile interior part injection mold with a cooling structure, which comprises an injection machine frame and an injection unit; the injection unit is arranged on the injection machine frame; the injection unit comprises a fixed mold plate, and further comprises a demolding unit and a receiving unit; the demolding unit comprises a fixed base and a movable mold plate; the fixed base is fixedly connected to the injection machine frame; a guide rod and a cylinder one are arranged on the fixed base; the output end of the cylinder one is connected to the movable mold plate; a pulse air cooling type global cooling system is constructed; cooling air is directly output to the product forming surface through the distributed air holes on the side wall of a mold groove and the surface of a convex mold; the bottleneck of the shape following property limited by the traditional water cooling is broken; the uneven cooling of a special-shaped cavity can be realized; the product temperature field distribution is effectively balanced; and the internal stress and warping deformation during the molding are inhibited.

The application discloses a single-knife digital three-side cutting paper cutting machine and belongs to the technical field of paper cutting machines. The paper cutting machine comprises a rack, a first conveying belt, a second conveying belt, a clamping assembly and a cutting assembly. The cutting assembly, the first conveying belt and the second conveying belt are arranged in the same direction and in a three-side half-enclosed layout, and a horizontal moving channel is formed in the middle. The clamping assembly is arranged in the horizontal moving channel and comprises a material taking sliding rail, a material taking screw rod, a sliding seat, a rotating mechanism and a material taking mechanism. The material taking mechanism can move along the horizontal moving channel and clamp materials. The rotating mechanism drives the material taking mechanism to rotate the materials by 90 degrees. The cutting assembly is used for sequentially completing three-edge cutting. The application solves the problems of poor positioning precision, low efficiency of manual rotation of the existing single-knife paper cutting machine, high cost and poor adaptability of traditional three-side cutting knives, realizes sequential cutting of books in a three-edge full-automatic, high-precision and high-quality mode, and has compact structure and is suitable for multi-variety batch production.

This utility model discloses a compressor coil height clamping device, including a top electrical control box, a lower frame, a field line, and a lifting platform. The field line has a first workstation and a second workstation, and a movable tooling tray along the line that carries the compressor coil. The lifting platform is used to lift the tooling tray to a preset height. A height correction mechanism, including a forward-pushing cylinder and an upper limit mechanism, is located on the upper side of the tooling tray. The forward-pushing cylinder drives the height correction mechanism to extend and correct the height of the compressor coil, while the upper limit mechanism presses down to fix the corrected height. A clamping mechanism, including a lower clamping cylinder, is located on the lower side of the tooling tray. The lower clamping cylinder moves upward and clamps the internal exhaust pipe of the compressor coil. This technical solution achieves full automation of coil height positioning accuracy and clamping operation, effectively eliminating manual operation errors, ensuring consistent coil installation height, improving production efficiency, and reducing rework rate and operator workload.

This invention relates to an automatic detection system and method for elevator landing door locking devices. The system includes a moving base mounted on the car top, a door lock drive mechanism driven by the base, an image acquisition device, a signal acquisition device, and a control device. The door lock drive mechanism has two roller push plates that can move independently or collaboratively, enabling adaptive driving of single-action or double-action roller door locks. The image acquisition device acquires door lock images to identify door lock features and the lock hook. The signal acquisition device acquires the door lock safety circuit break signal. The control device automatically controls the drive mechanism based on the identification results and triggers visual measurement upon receiving the break signal to calculate the lock hook engagement depth and determine whether it meets safety requirements. This invention achieves automatic, accurate, and efficient detection of door locks with various structures, replacing traditional manual methods and significantly improving the objectivity, accuracy, and applicability of the detection.

The invention relates to the field of neodymium-iron-boron production and processing, in particular to a neodymium-iron-boron bar directional arranging and feeding device. The invention aims to provide the neodymium-iron-boron bar stock directional arranging and feeding device which is high in automation degree, lossless in conveying and capable of improving the yield and the production efficiency through online screening. A neodymium-iron-boron bar stock directional arranging and feeding device comprises a main frame, and three bar stock conveying belts are installed on the top of the main frame. A connecting frame is fixedly connected to the right of the upper side of the main frame, and a mounting frame is fixedly connected to the left of the upper side of the main frame. The device integrates the functions of automatic mounting, accurate positioning, pushing-out, conveying, detecting, screening, pushing-in, crushing and discharging, the whole-process automatic operation of taking out neodymium iron boron bars from neodymium iron boron forming molds and accurately loading the neodymium iron boron bars into rubber molds is achieved, the traditional operation mode of manually taking, placing and arranging the bars is not needed, the production efficiency is improved, and the production cost is reduced. And meanwhile, the labor intensity and the labor cost are remarkably reduced.

This invention discloses a vehicle-mounted drone video automatic shooting and generation system and method, belonging to the field of drones. The system includes: a vehicle-side component, comprising a main control unit, a data communication gateway, a vehicle and environmental status perception module, an interactive interface, and a cabin power supply interface; a drone-side component, comprising an airborne controller, a communication module, a drone status perception module, and a shooting and flight module; and a cloud-side component, comprising a cloud server. Both the main control unit and the cloud server have built-in AI engines. The main control unit is connected to the data communication gateway, the vehicle and environmental status perception module, the interactive interface, and the cabin power supply interface; the airborne controller is connected to the communication module, the drone status perception module, and the shooting and flight module; and the data communication gateway is connected to the communication module and the cloud server. This invention enables fully automatic generation of high-quality videos in outdoor mobile scenarios.

The invention is suitable for the field of carbon emission, and provides a carbon footprint tracking accounting method and system for a low-carbon park, and the method comprises the following steps: constructing a park carbon flow knowledge graph with physical assets as nodes and carbon flow paths as edges, the physical assets in the park corresponding to unique digital identities, and the physical assets in the park corresponding to unique digital identities; configuring a carbon emission or carbon transfer calculation model for each physical asset; collecting time sequence operation data uploaded by the sensor and material transfer data uploaded by the logistics node, and associating the time sequence operation data and the material transfer data to the corresponding asset node according to the digital identity; inputting the data into a rule engine, and analyzing the data into an atomic carbon flow event; and activating related nodes in the carbon flow knowledge graph, and calling the calculation model to obtain carbon inflow, carbon outflow or carbon stock change of the nodes. Real-time operation data and logistics data are analyzed into a standardized atomic carbon flow event through a rule engine, automatic calling of a node calculation model in a knowledge graph is driven, and accounting is more efficient.

The invention relates to seawater analysis, and particularly provides a desalting and purifying device and system applied to seawater tritium on-line monitoring, the device comprises a first-stage unit, the first-stage unit comprises a first membrane assembly and a filter which are connected in sequence; the first pressure pump is used for increasing the pressure of seawater entering the first membrane assembly, and a waste discharge port of the first membrane assembly is communicated with a waste liquid pipeline. The method has the advantages of automation, high analysis precision and the like.

This utility model provides an automated processing equipment for moxibustion tubes, including a paper sleeve picking and placing mechanism, a positioning mechanism, a suspension picking and placing mechanism, a covering mechanism, a fixing mechanism, and a glue applicator. The paper sleeve picking and placing mechanism includes a support, on which a horizontal axis linear module is mounted, and on the horizontal axis linear module is a vertical axis linear module. A clamping sleeve and a pressing fixture are mounted on the vertical axis linear module. The positioning mechanism includes a turntable, on which several clamps are evenly arranged in a ring on its surface for placing the paper sleeve. The covering mechanism includes a cloth-laying wheel and a first linear module, on which a cutting mechanism and a suction mechanism are respectively mounted. The fixing mechanism includes a central shaft, on which a sliding sleeve is mounted. The glue applicator includes a rotating glue applicator platform and a glue dispensing machine. In this utility model, the turntable of the positioning mechanism is located at the center, and the other mechanisms are arranged sequentially around the turntable according to the process flow. The structure is reasonable, the action logic is clear, and the entire process is automated, significantly improving production efficiency.

The invention discloses a motor sweeper operation path generation method and device, and the method comprises the steps: constructing a road connected graph based on a to-be-swept region map road boundary and a topological connection relation; coarsening the connected graph according to a preset merging strategy, and merging the fine-grained nodes into logic region nodes; constructing a final cleaning task area based on the coarsened connected graph; planning a sub-region cleaning sequence in combination with the current position of the cleaning vehicle; and constructing a global operation path. According to the invention, whole-process automation of cleaning area division and sequence planning is realized, manual intervention is not needed, and operation efficiency and reliability are improved; complex road topologies such as roundabout and the like are adapted, and sub-region division is more reasonable; a heuristic weight and an improved threshold acceptance algorithm are fused, the solving efficiency and the planning quality are balanced, and the requirements for the real-time performance and the accuracy of outdoor cleaning are met.

The embodiment of the invention provides an automatic opening and closing lifting appliance and a lifting method thereof, and relates to the technical field of mechanical lifting equipment. The invention aims to solve the problems of high safety risk and low alignment efficiency caused by manual close-range operation of the existing lifting appliance. The middle part of the lifting hook assembly is hinged to the lifting appliance main body, so that the stressed end and the hooking end of the lifting appliance main body form a lever structure: when the stressed end is subjected to lifting tension, the hooking end swings outwards and is automatically locked by utilizing the gravity of a component; after the component lands, the pulling force is reduced, and the hooking end automatically swings inwards to be unhooked under the action of gravity. And the guiding and positioning device extends out of the hooking end below the lifting appliance main body and is in contact with a component firstly during descending, and the hooking end is automatically guided to be accurately aligned with a lifting part by utilizing a mechanical guiding principle. Automatic alignment, automatic locking and automatic unhooking can be achieved without manual intervention, the unhooking risk and surface damage are eliminated, and whole-process automation of hoisting operation is achieved.

The invention relates to the technical field of natural language processing, in particular to a teacher work document auxiliary generation method based on a large language model, which mainly comprises the following steps: constructing an expert model based on the large language model, and training the expert model through supervision and fine tuning to obtain a first pre-training model; obtaining pre-constructed tool calling data, and performing instruction fine tuning on the first pre-training model by using the tool calling data to obtain a pre-trained expert model; packaging a data acquisition interface of an external system, and pairing the data acquisition interface with a task in the tool calling data; and obtaining a demand instruction of a user, and inputting the demand instruction into the pre-trained expert model. The method can efficiently and automatically assist teachers in generating work documents by utilizing a fine-tuned large language model and a multi-module architecture according to data and scene characteristics in the education field.

This utility model provides a testing device for small-sized LCD screens, including a frame, a testing mechanism, and a conveying mechanism. The testing mechanism and the conveying mechanism are located on the upper surface of the frame. One end of the testing mechanism is adjacent to the end of the conveying mechanism. A material transfer mechanism is provided on one side of the conveying mechanism, which is located adjacent to the testing mechanism. The testing mechanism includes an industrial camera, a screen carrier, and a carrier mold. The industrial camera is located on the upper end of the screen carrier, and the carrier mold is located on the screen carrier. A feeding limit frame is provided between the screen carrier and the conveying mechanism. By organically integrating the conveying mechanism, the material transfer mechanism, and the testing mechanism and enabling them to work together, the entire process of small-sized LCD screens from loading and positioning to testing is automated. By using an industrial camera in conjunction with the screen carrier to test the small LCD screens placed on the carrier mold, not only is the workload of personnel reduced, but the detection rate and accuracy of defects such as dark spots, bright spots, and scratches are greatly improved.

According to the interval type wheat cutting machine, by integrating the header capable of ascending, descending and rotating, the clamping arms capable of synchronously moving, the ear cutter capable of being accurately controlled and the two-stage ordered conveying structure, efficient and low-loss ear row selective harvesting of wheat plants is achieved. By means of the unique linkage design of the clamping arms and the header, it is ensured that wheat straw is stably centralized and clamped before and after cutting, and missing cutting of lodging or scattered wheat and falling of wheat ears are effectively prevented; on the basis of cutting height control of a distance sensor and the adjustable header posture, the agricultural target of only cutting wheat ears is achieved, and wheat straws are reserved; due to the design that the two-stage conveying belt is matched with the baffles, it is guaranteed that the wheat ears are conveyed smoothly and orderly, and accumulation and mixing are avoided; due to the miniaturized design of the whole machine and the arrangement of the steering wheels, the wheat harvester is particularly suitable for field operation of small plots, hilly slopes and complex row spacing, and the mechanization level and the operation quality of the wheat ear harvesting link are remarkably improved.

This disclosure relates to a file processing method, apparatus, electronic device, storage medium, and program product. The method includes a first component based on a desktop client corresponding to a target account, which monitors for newly added files in a target directory on a server. The newly added files are files uploaded to the server by a mobile terminal corresponding to the target account. The target directory is determined based on the target account. If the newly added file exists in the target directory and is a complete file, the first component retrieves the newly added file from the server, and through interaction with a second component, a target application opens the newly added file. The first component and the second component are communicatively connected, and the second component is a plugin within the target application on the desktop client corresponding to the target account. This disclosure achieves full automation from file upload on the mobile terminal to the file being displayed by the desktop application.

The invention relates to the technical field of photovoltaic power station operation and maintenance, in particular to a photovoltaic power station hot spot fault diagnosis system based on an unmanned aerial vehicle. The system comprises an unmanned aerial vehicle collection unit used for collecting multi-modal data of a photovoltaic power station; the airborne calculation unit is used for carrying out real-time analysis on the multi-modal data, identifying suspected hot spot faults and generating corresponding recheck instructions; the path planning unit is used for dynamically adjusting a preset flight path of the unmanned aerial vehicle according to the reinspection instruction, generating a targeted inspection path pointing to the suspected hot spot fault, and performing reinspection data acquisition on the suspected hot spot fault area to generate reinspection data; the diagnostic analysis unit is used for receiving the recheck data and carrying out accurate judgment and geographic positioning on the hot spot fault; and the decision and visualization unit is used for generating a diagnosis report according to accurate judgment and geographic positioning of the hot spot fault. And autonomous, accurate and efficient diagnosis of the hot spot fault of the photovoltaic power station is realized.

The invention discloses a unit type glass curtain wall connecting component performance evaluation system based on data analysis, and relates to the technical field of structural component testing, and the system comprises a response field generation module which is used for receiving a virtual node model, and applying a predefined load spectrum sequence to the virtual node model for numerical simulation, generating and outputting a performance response field describing continuous performance evolution; and the health degree sequence calculation module is used for receiving the performance response field, extracting features from the performance response field according to a pre-constructed degradation criterion function, and calculating and outputting a health degree scalar sequence reflecting performance evolution. According to the method, parameterized scanning and numerical simulation are carried out on the virtual node model through the response field generation module, a continuous performance response field with load amplitude and duration as independent variables and key part stress response as a dependent variable is constructed, continuous mapping of performance evolution of a component under different load working conditions is achieved, and the reliability of the component is improved. And a high-fidelity and inquirable mechanical response reference is provided for fatigue damage analysis.

The utility model relates to the technical field of semiconductor handling equipment, especially a rotary adjusting mechanism, including mounting bracket, the movable frame of rotation connection in mounting bracket, the adjusting frame of rotation connection in movable frame, the sliding piece of sliding connection in adjusting frame and drive unit, the rotation center of adjusting frame is centrifugal relative to the rotation center of movable frame, drive unit and sliding piece drive connection, when needing to rotate movable frame, drive unit drives sliding piece to slide along adjusting frame, makes adjusting frame rotate to make movable frame rotate, the utility model can avoid the influence of manual operation to wafer box cleanliness, eliminates the human regulation deviation, ensures that wafer box and the butt joint accuracy of process machine platform satisfy the requirement.

The application discloses a kind of real-time behavior supervision systems of secret-related terminal based on multi-factor identity authentication, and relates to the field of information security technology.The real-time behavior supervision systems of secret-related terminal based on multi-factor identity authentication, including identity authentication unit, terminal probe unit, attack and theft of secrets traceability analysis unit and behavior supervision correlation analysis unit, the system is through collecting terminal identity, environment, process and network connection log, and with network side attack alarm space-time correlation analysis, can when discovering network attack behavior, quickly locate to specific secret-related terminal and its operation user, and correlation analysis attack occurs before terminal physical environment state, generate high-risk event alarm of fusion multi-party evidence, the present application is through the multi-factor authentication of secret-related terminal, real-time behavior monitoring and network attack detection depth correlation, solved the difficult problem of terminal security and network security data split, realized from network attack alarm to specific person in charge and the accurate traceability of on-site environment evidence.

The invention discloses a fund transaction mail automatic processing method and electronic equipment. The fund transaction mail automatic processing method comprises the steps that whether a to-be-processed mail obtains a distributed lock or not is judged based on a unique identifier of the to-be-processed mail; after the distributed lock is obtained, a distributed task scheduling system is adopted, and mail reading and processing tasks are executed regularly; connecting a mail server, screening a target mail according to a retrieval rule, automatically downloading an attachment and performing format verification; converting the attachments qualified in format verification into single-page PDF units and performing content verification; carrying out OCR (Optical Character Recognition) identification on the single-page PDF unit with qualified content verification, and identifying transaction information data in the single-page PDF unit; and injecting the transaction information data into a pre-examination order module, generating a transaction order in a to-be-examined state, and performing information verification. According to the method, automation of the whole process from mail receiving, PDF analysis, OCR recognition, data entry, pre-examination list generation, system interface calling to exception handling is achieved.

The application provides a quality inspection system applied to fiber cloth, which is characterized by comprising a fan, a database, an image acquisition module, a flaw identification module, an alien object type analysis module and a flaw marking module.

The utility model discloses a desert nursery stock transport vehicle based on hydraulic self -adaptation chassis, including self -adaptation chassis, car, guide rail frame, snatch mechanical arm and radar etc. Self -adaptation chassis is equipped with the walking wheel of independent height adjustable and independent steering system, can adapt to the complex desert topography, car is used for loading nursery stock, guide rail frame and snatch mechanical arm realize the automation nursery stock snatch, and radar provides accurate positioning. The utility model solves the problem that the traditional transport vehicle is poor in desert environment, and the positioning is not accurate, and the operation efficiency is low, and has the advantages of strong topographic adaptability, accurate positioning, high degree of automation operation, good nursery stock protection, especially suitable for the nursery stock transport operation in desert greening engineering.

The application discloses a warm area rainstorm objective prediction method based on dynamic similarity and AI retrieval, relates to the technical field of weather forecast, and solves the technical problems of high numerical model missing report rate and low forecast operator correction automation degree of existing warm area rainstorm prediction. The method comprises the following steps: step 1, establishing a warm area rainstorm historical case library; step 2, screening key prediction factors through LIME interpretable AI technology; step 3, performing data processing on the key prediction factors to obtain standard input, inputting the standard input into a Conv-AutoEncoder model to output a key feature vector, performing preliminary screening on the key feature vector, and selecting three most similar historical cases according to the Hamming distance method; and step 4, determining a final precipitation prediction value according to an ECMWF model precipitation field and actual precipitation fields of the three historical cases. The application further discloses a warm area rainstorm objective prediction system based on dynamic similarity and AI retrieval. The application improves the prediction accuracy and reduces the missing report condition.

The invention provides an intelligent biological control sample culture method and device, and solves the problem that systematic experimental errors are introduced in the processes of cytoskeleton, cell polarity, signal transduction and the like when a culture dish rotates along with a bracket body. The cabinet comprises a cabinet body, a drawer mounting box is arranged at the bottom of the cabinet body, and a plurality of drawers which can be pulled out forwards and are arranged at intervals are arranged in the drawer mounting box; a horizontally-arranged fourth partition plate is fixedly arranged in the drawer, a plurality of clamping bases arranged at intervals are fixedly arranged at the top of the fourth partition plate, detachable culture dishes are placed on the clamping bases, a temperature adjusting module is arranged on the fourth partition plate, the temperature adjusting module can heat and refrigerate to adjust the temperature of the culture dishes, and a microelectrode array is fixedly arranged at the groove bottom of each culture dish; an equipment grabbing translation mechanism is arranged in the cabinet body, detection equipment capable of being grabbed by the equipment grabbing translation mechanism is placed in the cabinet body, and the detection equipment comprises a camera, a fluorescence microscopic imaging head, an impedance detection head and a micro spectrometer.

The invention relates to the technical field of vehicle detection, in particular to a vehicle off-line automatic driving wading detection method and device, electronic equipment and a medium, and the method comprises the steps: controlling a target vehicle to carry out a road test along a preset test path; wherein the test path comprises a conventional path and a wading path; acquiring first state information corresponding to the conventional path and second state information corresponding to the wading path; and performing vehicle detection according to the first state information and the second state information to obtain a vehicle detection result of the target vehicle. According to the invention, vehicle detection is realized without depending on detection personnel, the effectiveness of a detection result is ensured, the detection efficiency of vehicle detection is improved, full-process automation and unmanned operation of vehicle wading detection are realized, the detection efficiency is obviously improved, the production bottleneck is broken, and the high-beat requirement of intelligent manufacturing is met.

The application discloses a kind of belt conveyor scene's clean material automatic operation device and method, and clean material robot system is adapted to carry multiple different types of push shovel scraping clean material function unit and can complete the cleaning of different types of accumulated material, and the sensor of relevant function makes it can realize positioning, navigation, obstacle avoidance and clean material operation identification in scene, and reasonable clean material strategy is used to complete efficient clean material in the complex accumulated material scene of different zone section of different production line conveying characteristic belt conveyor.The application integrates autonomous positioning navigation, obstacle avoidance walking, accumulated material identification, autonomous clean material operation and data acquisition transmission and other functions, realizes the full automation and intelligent operation from identification to cleaning, greatly improves work efficiency and accuracy, and clean material robot operation system and operation method can greatly reduce the loss caused by raw material conveying process and its mixing, and reduce manual clean material operation intensity and related risk.

The present application relates to the technical field of sensor network and internet of things, in particular to a data center air quality intelligent early warning method and system based on sensor network; the method comprises the following steps: constructing a self-organizing cooperative network by deploying multiple types of sensor nodes in key areas of the data center, collecting and correcting multi-dimensional air data in real time; improving data reliability through dynamic weight fusion and local anomaly recognition between nodes; establishing an air parameter and machine room structure correlation model by using spatial mapping and time series analysis to identify micro-scale diffusion trends; constructing a self-adaptive dynamic threshold mechanism to realize rolling optimization of the threshold combined with historical statistics and real-time feedback; generating a hierarchical alarm strategy based on multi-level early warning judgment and trigger conditions, and continuously optimizing the early warning accuracy and response efficiency through closed-loop feedback. The present application realizes all-around, intelligent and highly reliable early warning and regulation of the air quality in the data center.