187results about How to "Strong targeting" patented technology

The invention relates to the technical field of substation inspection robots, and discloses an autonomous inspection method and system for a substation inspection robot. The method comprises the following steps: acquiring current environment parameters of a transformer substation and real-time state information of an inspection robot, and constructing an inspection environment model; analyzing historical inspection records, classifying historical inspection strategies into a plurality of experience levels, and establishing a multi-layer experience pool; according to a preset target inspection state in the inspection environment model, calculating an intelligent inspection strategy required for achieving the target inspection state; the intelligent inspection strategy and the experience inspection strategy are corrected in real time by adopting a dual-channel coordination mechanism to respond to the dynamic change of the transformer substation environment, and a final inspection strategy is generated; executing a control instruction based on the final inspection strategy, completing an inspection task and recording an actual inspection state; and comparing the deviation reason between the actual inspection state and the target inspection state, adjusting the experience content in the multilayer experience pool according to the deviation reason, and optimizing the experience data.

The invention discloses an automobile part defect detection method based on multispectrum, and relates to the technical field of spectrum detection. According to the method, an optimal wave band is screened from a data source through spectral response discrimination, and the spectral texture difference between scratches and normal textures is enhanced; normal texture and suspected scratch areas are accurately divided through density clustering, a target area is focused, irrelevant data interference is reduced, and it is ensured that double-feature extraction is higher in pertinence. Further synchronously extracting texture gray level change features and 3D surface height depression features of the suspected area, and capturing dual attributes of two-dimensional texture anomaly and three-dimensional physical form depression of the scratch; and finally, through deviation calculation and relevance verification with a normal region reference feature, the abnormal degree of the double features is quantified, two types of abnormalities are ensured to correspond to the same physical region through spatial relevance, pseudo defects are eliminated, and the problem that scratches are difficult to identify based on texture gray level change and surface height depression in the prior art is solved.

This invention relates to the field of wastewater treatment technology, and in particular to a wastewater purification and reuse device based on a membrane bioreactor. Addressing the limited removal efficiency of pollutants adhering to membrane elements in existing technologies, this invention provides a wastewater purification and reuse device based on a membrane bioreactor. The device includes a treatment tank containing a membrane bioreactor assembly. The assembly includes an assembly frame with multiple membrane elements mounted on it. Scrapers that cooperate with the membrane elements are located on both sides of a horizontal plate. A cleaning assembly also includes a vertically movable frame. When the frame moves downwards, the horizontal plate moves downwards, and the scrapers clean the outer surface of the membrane elements downwards. A movable scraper is located on a support, and a collection box is located on one side of the support. When the scraper moves to one side, the collection box opens. By directly scraping away impurities adhering to the outer surface of the membrane elements, suspended solids, colloidal particles, microbial flocs, and other pollutants on the membrane surface can be removed quickly and effectively.

This application relates to the field of geotechnical engineering and underground engineering construction technology, and discloses a method for trenching hard rock walls based on small-diameter borehole blasting pre-splitting. The method includes: conducting a geological survey of the construction area to determine whether it belongs to hard rock strata that are difficult to directly trench mechanically; if so, determining the locations of two small-diameter boreholes for a section of the wall to be trenched; drilling small-diameter boreholes at the locations and collecting rock cores during the drilling process; identifying the target hard rock section based on the analysis of the rock cores; blasting explosives at the corresponding borehole depth to create pre-splitting fractures in the hard rock mass between the two small-diameter boreholes; and excavating the hard rock mass with pre-splitting fractures between the two small-diameter boreholes to complete the trenching of the wall section. This application achieves significant optimization of construction economy and operational efficiency while ensuring trenching quality.

This invention discloses a herbicidal composition containing propyzoxystrobin and chlorpyrifos, and its application, belonging to the field of pesticide technology. The active ingredients of this herbicidal composition are propyzoxystrobin and chlorpyrifos, with a weight ratio of propyzoxystrobin to chlorpyrifos of 1:5 to 5:1. Through the synergistic effect of the two active ingredients, this herbicidal composition addresses the seed dormancy and germination characteristics and resistance issues of black nightshade in pumpkin fields, achieving a synergistic control effect of "rapid-acting + long-lasting" and "closed + foliar" action. The control efficiency can reach over 80%, with an optimal ratio reaching as high as 93.1%. It also significantly increases pumpkin yield without adversely affecting pumpkin growth, solving the technical problems of the lack of dedicated control agents for black nightshade in pumpkin fields and the strong resistance of conventional agents in existing technologies.

The utility model discloses an axial flow heat radiation servo motor, comprising a casing provided with a cover, the cover is provided with a plurality of air holes, and the casing is rotatably connected with a rotating shaft; the stator assembly is in a circular ring shape and is connected into the machine shell. The rotor assembly is connected to the rotating shaft, the stator assembly surrounds the rotor assembly, and an annular air gap is formed between the rotor assembly and the stator assembly; and the cooling fan comprises an end seat and a plurality of fan blades, the end seat is in a circular ring shape, the end seat is connected to the end part of the rotor assembly, all the fan blades are distributed along the circumferential surface of the end seat, the fan blades are overlapped with the air gaps, the fan blades are overlapped with the air holes, the fan blades are bent towards the extension direction of the rotating shaft, and the fan blades are in central symmetry about the rotating surface of the end seat. The heat dissipation device is compact and reliable in structure, heat dissipation cost can be effectively saved, pertinence of fan blade operation heat dissipation is high, the energy utilization rate is high, heat dissipation efficiency is high, operation stability is high, and stable heat dissipation under the bi-directional rotation working condition can be guaranteed.

The invention discloses a traditional Chinese medicine tea drink for preventing and treating oral mucosa diseases and a preparation method of the traditional Chinese medicine tea drink. The traditional Chinese medicine tea drink is prepared from 10-15 parts of radix astragali, 8-12 parts of radix codonopsis, 6-10 parts of radix salviae miltiorrhizae, 5-9 parts of radix angelicae sinensis, 3-6 parts of fructus psoraleae, 6-9 parts of rhizoma polygonati, 6-9 parts of radix adenophorae, 6-10 parts of rhizoma atractylodis macrocephalae, 5-9 parts of radix ophiopogonis, 3-5 parts of radix glycyrrhizae, 4-6 parts of pericarpium citri reticulatae and 5-8 parts of herba taraxaci. Aiming at the core pathogenesis of low immunity, long-term deficiency, long-term deficiency and kidney-yang insufficiency of patients suffering from oral mucosa diseases, qi tonifying, blood activating and kidney-qi strengthening are taken as a core treatment method, the formula is scientific and reasonable, all the medicinal materials act synergistically, the overall immune function of the body is adjusted, T lymphocyte subpopulation imbalance and cell factor network disorder are improved, and the curative effect is good. The oral mucosa microcirculation is improved, local inflammation is relieved, the immunity of a patient is improved fundamentally, the recurrence rate of oral mucosa diseases is reduced, and the problems that an existing tea drink is not high in pertinence and limited in curative effect are solved. The tea drink is appropriate in taste, good in compliance, high in safety and suitable for people with various oral mucosa diseases and low immunity.

The application provides a six-dimensional force sensor optimization method based on CM-PINN, which depends on a six-dimensional force sensor optimization model based on CM-PINN. The application realizes the structured hard constraint of the flexibility matrix by embedding the B matrix projection into the CM-PINN network, replaces the traditional loss function soft constraint, ensures that the mechanical properties relied on in the optimization process always strictly meet the geometric symmetry and the inherent physical law of the flexibility matrix, fundamentally eliminates the physical violation phenomenon from the architecture level, makes the optimization result more consistent with the engineering actual mechanical properties, and improves the optimization reliability; through the design of the load special branch and the symmetric joint training mechanism, the strong high-dimensional nonlinear coupling problem between the elastomer mechanical properties and the external load, the geometric structure parameters is effectively solved. The method can greatly reduce the calculation cost, shorten the design cycle, realize the efficient global optimization of the sensor geometric parameters and the load range, and adapt to the design requirements of the engineering end rapid iteration and rapid verification.

This invention relates to the field of marine propulsion technology, specifically to an auxiliary propulsion structure for electric ships. The structure includes a ship hull, a propeller mounted on the bottom of the hull, and rotating rods fixedly connected to both sides of the hull. An auxiliary propeller is mounted on each rotating rod. Through an idling cooling mechanism, when the water inlet is above the water surface, causing the drive rod to drive the auxiliary propeller to idle, the idling cooling mechanism opens an emergency water path. This allows pre-stored cooling water from the tank to be precisely delivered via drip pipes to the junction of the drive rod and the bearing. This directional dripping forms a water film at the friction interface, providing immediate lubrication and drag reduction, as well as rapid heat absorption and cooling, preventing high-temperature wear, deformation, or sintering of components. Compared to traditional unprotected designs, this mechanism is fast-responding and highly targeted, minimizing damage to core components during idling and ensuring reliable operation of the auxiliary propeller in complex waters.

The invention provides a traffic signal lamp redundancy identification system and method based on red light narrowband filtering, and belongs to the technical field of intelligent driving environment perception. The system is characterized in that a main processing module processes a color image based on a YOLOv8n model and a lightweight convolutional neural network, and outputs a first recognition result and the confidence of the first recognition result; when the confidence coefficient is lower than a threshold value, a redundancy identification module is started, a narrow-band image obtained by an auxiliary imaging module is analyzed, whether a strong red light signal emitted by a traffic signal red light exists or not is judged through self-adaptive threshold value segmentation, morphological processing and feature analysis, and a second identification result is generated; and the decision fusion module fuses the two paths of results to generate a final control instruction. According to the invention, through physical spectrum filtering and double-path information fusion, interference of ambient light such as sunset and the like is effectively overcome, and the robustness and safety of an automatic driving system in recognizing traffic lights under complex illumination, especially red light, are remarkably improved.

A printing ink supply quantity control method and system of a printing machine relates to the field of general control systems.The method comprises the steps that ink area distribution analysis is conducted on image data of current printing operation, and basic printing ink supply data are determined; in the printing process, sensor data of one or more physical dimensions are collected in real time, and real-time operation state data are obtained; calculating to obtain a state deviation value of each physical dimension, calculating to obtain an ink supply compensation amount for counteracting the influence of the state deviation on the printing ink color, and generating a target ink supply instruction at the current moment; and the target ink supply instruction serves as an optimization target, the physical stroke and the response rate of the printing machine serve as constraint conditions, a control value of the current time step is extracted, the control value is converted into a target set value of a corresponding ink supply executing mechanism, and the target set value is sent to the ink supply executing mechanism to execute ink supply. By means of the printing ink supply control method and device, the printing ink supply amount in the printing process can be accurately controlled under complex conditions.

The application discloses a hydropower station time-sharing power generation benefit dynamic control method fusing power grid load demand, obtains multi-dimensional operation data of a hydropower station and power grid time-sharing load and electricity price data, constructs a data correlation model based on an attention mechanism, generates a fusion feature data set through dynamic weight distribution, takes time-sharing power generation benefit maximization as an objective function, combines reservoir water balance, unit output limitation and downstream ecological flow constraints, introduces a deep reinforcement learning algorithm to construct a dynamic control model, trains the model and optimizes parameters by using historical and simulation data, then inputs real-time data to generate an optimal time-sharing power generation control scheme, issues an instruction and monitors output deviation, and realizes dynamic control; the method can accurately match power grid load and time-sharing electricity price, improves power generation benefit while meeting multiple constraints, and is suitable for various hydropower station dispatching scenarios which need to consider power grid response and benefit optimization.

The invention discloses a contract auditing system capable of automatically matching an auditing mode. And the analysis and extraction module is used for carrying out structured analysis and feature extraction on the contract related data to obtain the hierarchy and topological relation among terms in the contract template, the semantic vector representation of the terms of the contract to be examined, the difference item between the contract to be examined and the contract template, and the examination rule base. And the applicable strength calculation module calculates the applicable strength of each review rule on each term of the contract to be reviewed according to the template matching degree, the difference saliency and the context correlation degree. And the review mode selection module selects a corresponding review mode for each term of the contract to be reviewed according to the applicable strength of each review rule for each term of the contract to be reviewed. According to the method, the corresponding review mode is automatically selected for the combination of each term and each review rule of the contract to be reviewed. The refined review mode significantly improves the accuracy of the contract review result.

The present invention relates to a bioactive conjugate, a preparation method therefor, and use thereof. In particular, the present invention relates to a novel type of bioactive molecular conjugates obtained by improving the coupling of a drug to a targeted moiety in ADC or SMDC, a preparation method therefor, and use thereof in the preparation of drugs for treating diseases associated with abnormal cellular activity.

The application relates to the technical field of computers and discloses a prompt word dynamic enhancement method and system, electronic equipment and a storage medium, which comprises the following steps: obtaining a current request of a user and corresponding dialogue history context, forming complete dialogue information containing a time sequence relationship; performing context semantic analysis on the current request and the dialogue history context to obtain structured analysis information; querying a dynamic knowledge graph based on the structured analysis information; based on the structured analysis information and information queried from the dynamic knowledge graph, performing context-aware completion and format processing on parameters required by tool calling to obtain a processed parameter set; and based on the processed parameter set and corresponding tool description, dynamically generating structured enhancement prompt words for submission to a large language model. The application can effectively manage and utilize the context of multi-round dialogue.

The application relates to the technical field of underwater robot vision processing, and discloses a GAN-based underwater robot image real-time repairing and target identification method. The method acquires an original image sequence obtained by an optical sensor of an underwater robot, extracts degradation features of each frame of image, including scattering noise distribution, color distortion parameters and motion blur intensity. The original image sequence is input into a network, and based on the degradation features, a repaired image is generated frame by frame, and local structure consistency features and global semantic coherence features of the repaired image are extracted. A cascaded classifier is used for multi-scale target detection of the repaired image, local structure features and global semantic features are combined, and a target boundary box and a category label are output. According to the spatial distribution density of the target boundary box, the priority of the repaired area is dynamically adjusted, and the synchronous output of the repaired result and the target identification result is realized. The method can effectively improve underwater image quality and target identification precision.

The application provides an electronic component detection method and device, electronic equipment and automatic quality inspection equipment, wherein the method comprises the following steps: obtaining an original image of a to-be-detected object, and extracting a rough positioning image of a target electronic component from the original image; performing mask processing on the rough positioning image based on a mask corresponding to color information of the target electronic component that is determined in advance, to obtain a mask image that retains an installation area of the target electronic component; performing morphological processing on the mask image to obtain a processed mask image; determining the areas of each contour in the processed mask image, and determining the boundary of the accurate position of the target electronic component in the to-be-detected object based on the contour that meets the threshold requirement; and cutting out the image of the target electronic component in the rough positioning image based on the boundary of the accurate position. In the foregoing manner, the application does not need to rely on a preset image template, can get rid of strict control over the placement position and direction of the motherboard, improves the detection efficiency, and reduces the detection cost.

The application discloses a skin treatment scheme optimization method, an electronic device and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring an initial skin state parameter of a skin area to be treated; based on the initial skin state parameter and a preset treatment target, a pre-trained energy sequence generation model is used to iteratively generate a personalized treatment scheme comprising multiple treatment steps, which can be adjusted according to the unique skin condition and aging characteristics of each individual, is suitable for precise layered anti-aging treatment, and realizes effective optimization of the treatment scheme.

This invention provides a Pinyin error correction method that simplifies the noise channel model used in most current Pinyin error correction algorithms by employing a real-time frequency counting method, effectively improving the efficiency and lightweighting of the algorithm. Furthermore, this invention uses a direct character substitution method instead of the traditional edit distance calculation method, avoiding frequent edit distance calculations in the Pinyin error correction algorithm. The dictionary database itself is localized to the individual user, resulting in a highly personalized, targeted, and small-scale dictionary that provides accurate candidate words. Compared to existing algorithms, this invention offers significant improvements in error checking rate, candidate word accuracy, and execution efficiency.

This invention discloses a method for increasing shale gas production from multi-stage fracturing shale formations. First, water containing water-absorbing resin is intermittently injected into the shale gas well, impacting the shale layer and creating multiple fractures, forming a primary fracturing process. Next, liquid nitrogen and sodium particles are injected into the shale gas well. The resin, already saturated with water, remains within the fractures. At this point, the liquid nitrogen cools the shale layer below its freezing point, causing the saturated resin to freeze and rapidly expand, forming a secondary fracturing process. Then, as the injected liquid nitrogen continues to vaporize, it further freezes the water and water-absorbing resin adsorbed by the shale, forming a tertiary fracturing process. When the temperature of the shale layer exceeds its freezing point, the expanded ice on the water-absorbing resin melts into water. At this point, the sodium particles react with the water, releasing a large amount of heat, causing the shale layer temperature to rise rapidly, creating a thermal shock to the low-temperature shale layer, forming a quaternary fracturing process. This completes the multi-stage fracturing process of the shale layer, effectively improving the extraction efficiency of shale gas.

The invention discloses a remote sensing residential area extraction method and system based on multi-source data fusion semantic segmentation, and particularly relates to the field of remote sensing image processing and land utilization mapping. A multi-source fusion automatic labeling strategy is adopted, and a rural residential area pixel-level training label is automatically generated by using an impervious surface product, an open source map interest point and a night light learning area-brightness threshold value; the method comprises the following steps: constructing an SELPFormer lightweight Transform segmentation model, introducing Lite-PPM, SCSE and ELA feature enhancement modules and a lightweight decoder on the basis of SegFormer, and outputting a rural residential spot pixel level extraction result for regional scale rural residential spot mapping.

The application provides an exosome for treating a PANK2 gene defect related disease, a preparation method and application thereof. The exosome loaded with PANK2 is used for treating the PANK2 gene defect related disease, can effectively restore the PANK2 protein expression in the brain and improve the neurological dysfunction, has good safety and transformation potential, and provides a treatment strategy with innovation and clinical application prospect for the PANK2 gene defect related disease.

This invention discloses a method for preparing a composite flotation reagent using biomass hydrothermal liquefaction products, comprising the following steps: Raw material preparation: providing biomass raw materials rich in lipids or proteins; Catalytic hydrothermal liquefaction: placing the biomass raw materials and a composite catalyst in a reactor, reacting at a temperature of 250-350℃ and a pressure of 4-20 MPa, wherein the water content of the biomass raw materials is 70-95%, and the composite catalyst contains alkaline components, metal oxide components, and rare earth element components; Product separation: separating the reaction products into oil and water to obtain bio-crude oil containing amphiphilic molecules; Flotation application: applying the bio-crude oil as a composite flotation reagent to mineral flotation, where the bio-crude oil simultaneously functions as a frother and a collector. This invention uses waste biomass as raw material to prepare a composite flotation reagent with both frother and collector functions, realizing the resource utilization of waste and the green upgrading of flotation reagents, and has the characteristics of wide raw material sources, excellent reagent performance, and environmental friendliness.

The invention relates to the technical field of plant genetic engineering and molecular biology, and provides a BcRPGE1 gene for regulating petiole color differentiation of non-heading Chinese cabbage, and the nucleotide sequence of the BcRPGE1 gene is as shown in SEQ ID NO.1. The invention also provides an application of the gene in adjusting the petiole color differentiation of the non-heading Chinese cabbage and a specific method for adjusting the petiole color of the non-heading Chinese cabbage. In addition, the invention further provides application of the method in directional improvement of the petiole color of the non-heading Chinese cabbage and cultivation of non-heading Chinese cabbage varieties with different petiole colors. The BcRPGE1 gene has the advantages that the BcRPGE1 is determined as a key gene for regulating and controlling the petiole color differentiation of the non-heading Chinese cabbage for the first time, the directional regulation and control of the petiole color can be realized by regulating and controlling the gene, and a new gene resource and a technical support are provided for molecular regulation and control and breeding application of the petiole color of the non-heading Chinese cabbage.

The invention discloses a water source conservation function evaluation method suitable for a high and cold frozen soil region, and belongs to the field of water source conservation function evaluation.The method comprises the steps that a monitoring network is laid in a drainage basin of the high and cold frozen soil region, and monitoring data are collected; the monitoring data comprises meteorological data, frozen soil data, hydrological data and vegetation and underlying surface data; improving the VIC frozen soil hydrological model by using the monitoring data; determining constraint conditions of the improved VIC permafrost hydrological model based on a permafrost characteristic water source conservation mechanism, and simulating each component of water balance of the high and cold permafrost region drainage basin by using the improved VIC permafrost hydrological model; and based on each component of water balance of the drainage basin of the high and cold frozen soil region, calculating the water conservation amount by using a water balance equation, and obtaining the water conservation capability according to the water conservation amount to complete water conservation function evaluation. According to the invention, key processes such as frozen soil thermal conductivity overestimation abnormity and accumulated snow sublimation effect supplementation are eliminated, and the simulation precision of the hydrothermal transmission process is improved.

The invention discloses a heat-resistant composite flavor coffee essence and a preparation method thereof. The preparation method comprises the following steps: firstly, mixing medium and deep baked coffee bean powder with a solvent compounded by propylene glycol and glycerol triacetate according to a specific mass ratio, and efficiently extracting flavor by utilizing an enzymolysis-ultrasonic synergistic technology; then carrying out gradient high-temperature strengthening treatment to activate the flavor precursor and promote the Maillard reaction; then, carrying out multi-stage purification and separation to obtain a clarified extract; and finally, carrying out molecular stabilization treatment in a low-temperature environment, and compounding the coffee essence base consisting of key components such as pyrazines, mercaptans and furans. Through the synergistic effect of a compound solvent, gradient temperature control and a low-temperature stabilization technology, efficient synergistic extraction of flavor components in a wide polarity range is realized, and the thermal stability of the essence is remarkably improved. The flavor retention rate of a coffee beverage prepared from the coffee essence is greater than or equal to 95% after the coffee beverage is treated at 120 DEG C for 15 minutes, and the aroma level is rich and harmonious.

The invention provides an urban sewage detection and treatment system and a sewage detection and treatment method, and belongs to the technical field of water treatment.The urban sewage detection and treatment system comprises a detection device, a first-stage filtering device and a second-stage filtering device, the primary filtering device comprises a plurality of filtering units which are communicated with one another, each filtering unit comprises a first pipeline, a second pipeline and a third pipeline which are coaxially arranged, and the inlet end of the first pipeline is connected with a sewage source; a filter membrane assembly is arranged in the second pipeline, and the permeability of the filter membrane assemblies of different filter units is different. The filter membrane assembly divides the second pipeline into a first cavity and a second cavity, and a third cavity is formed between the second pipeline and the third pipeline. And a communicating opening communicating with the first cavity is formed in the side wall of the first pipeline. According to the system, different filtering units can be selected for filtering according to data of urban sewage, the filtering efficiency of the sewage and the cleanliness of the filtered sewage can be improved, and the sewage treatment cost can be reduced.

The invention belongs to the technical field of oil and gas well drilling and completion engineering design and construction, and particularly provides a well group underground drilling anti-collision detection method which comprises the following steps: determining a target site; a foundation well is drilled in the target site; drilling a plurality of adjacent wells around the base well; a casing pipe is put into the adjacent well; an anti-collision tool is put into the foundation well; and starting the anti-collision tool to carry out magnetic detection on the casing pipe in the adjacent well, comparing a magnetic detection result with actual data of the casing pipe in the adjacent well, and correcting until the magnetic detection result is consistent with the actual data, thereby completing anti-collision detection. The problem that the research and development progress of the large well group drilling anti-collision tool is reduced due to the fact that the effect of the large well group drilling anti-collision tool is not systematically verified in the prior art is solved. Data are provided for improvement of the anti-collision tool, the magnetic detection effect of the anti-collision tool is improved, the improvement time of the anti-collision tool is shortened, and the research and development cost is reduced; and the current related technical blank is filled.

This application relates to the field of data processing technology and discloses an integrated sky-ground geological environment monitoring and assessment method and system. The method includes: integrating sky remote sensing, surface monitoring, and underground exploration data into a monitoring matrix, processing the data to generate a raw database; constructing a spatiotemporal standard field based on the database and fusing it to generate a correlation spectrum; decomposing the correlation spectrum to obtain element feature chains; constructing a coupled dynamic field based on the feature chains and analytically obtaining an evolutionary parameter set; establishing a risk assessment matrix based on the parameter set and analyzing to generate an early warning indicator system; and designing a governance plan by combining the early warning system and historical cases. This application achieves deep integration of space-based remote sensing data, surface monitoring data, and underground exploration data by constructing a unified spatiotemporal standard field, a multi-level feature transfer network, and a dynamic coupling model, thereby improving the accuracy and reliability of geological environment monitoring and assessment.

The utility model belongs to coal mine safety protection technical field, concretely is a kind of mine local low oxygen area intelligence dispersion oxygen supplement device, including oxygen concentration monitoring unit, intelligent control unit, oxygen source unit, gas dispersion unit and intrinsic safety shell. The oxygen sensor is used to monitor target area oxygen concentration in real time, and detection signal is transmitted to intelligent control unit, the control unit sets starting and alarm threshold value, when detection value is lower than set threshold value, control unit drive electromagnetic valve opens and starts vortex fan, oxygen is reduced after pressure reducing valve and enters venturi tube, and pre-mixes with outside air, again disperses to surrounding space by fan turbulence, realizes fast, even, safe oxygen supplement. Shell integrates sound-light alarm, for prompting operating personnel attention. The device compact structure, it is easy to move, can automatically start oxygen supplement in local low oxygen environment, avoid the operating risk caused by oxygen deficiency, improve downhole ventilation oxygen supplement efficiency, guarantee personnel safety.