103results about How to "Precise structure" patented technology

The invention discloses a multi-modal dynamic structure-function multilayer brain network calculation method and terminal, and the method comprises the steps: obtaining a multi-modal brain image, and carrying out the preprocessing of the multi-modal brain image, and obtaining a target multi-modal brain image; constructing a dynamic functional brain network, a structural brain network and a grey matter morphological similar brain network according to the target multi-modal brain image; and calculating according to the dynamic functional brain network, the structural brain network and the grey matter morphological similar brain network through a network topology similarity principle to obtain structural-functional coupling. According to the method, after MRI data is preprocessed, a morphological brain network is obtained through sMRI, a functional connection brain network is obtained through fMRI, a structural connection brain network is obtained through DTI, a multi-layer brain network coupling index is calculated, while structural and functional connection is considered, morphological information is also considered, then exploration of the model on the brain structure and function is improved, and the method has the advantages of being high in practicability and the like. And more comprehensive and accurate brain structure and function information can be provided.

The invention provides a method for creating a structured document based on a deep learning model, and relates to the technical field of data processing, and the method comprises the steps: obtaining basic text information collected by a user, obtaining text data, fragmenting the text data, obtaining text fragmented data, and creating a structured document according to the text fragmented data. Analyzing the structures of the sentences in the paragraphs, determining keywords in the sentences, analyzing the logical relationship between the sentences in the paragraphs, associating the sentence keywords in the paragraphs, analyzing the association degree between the paragraphs in the chapters, identifying core keywords of the chapters, obtaining a chapter keyword data set, and analyzing the field involved in the text. The method comprises the steps of extracting field information of a text to obtain a text keyword data set, constructing a structured document model based on a graph neural network model, and inputting the text keyword data set and text data into the structured document model to obtain a structured document. According to the method, the structured document can be constructed through the deep learning model.

The invention relates to the field of medicine, and discloses a thyroid nodule surgical operation planning and navigation system based on artificial intelligence, which comprises a multi-modal medical image acquisition module, an image preprocessing and enhancing module, an intelligent anatomical structure analysis module, an operation planning decision module and an intraoperative real-time navigation module, the multi-modal medical image acquisition module is used for integrating data of various image equipment such as ultrasonic equipment, CT equipment and MRI equipment, and space-time consistency of multi-modal images is ensured. According to the thyroid nodule surgical operation planning and navigation system based on artificial intelligence, the real-time calculation problem is solved, the system delay is reduced, which is crucial to real-time navigation in an operation, the real-time performance and the operation efficiency are improved, the operation time is shortened, and complications are reduced; by integrating the advantages of different images, the system can provide more comprehensive dissection views, help doctors to more accurately position nodules and important structures and avoid injury to nerves and blood vessels, so that the accuracy is improved, and the surgical risk is further reduced.

The invention discloses an automatic industrial control protocol reverse system and method based on a global voting expert algorithm, and relates to the technical field of network protocols, a data packet is divided into inference fields of fixed-length fields and variable-length fields by accurately identifying the message boundary of an industrial control protocol, and the inference fields are analyzed by analyzing the logic relation of the inference fields, so that the inference fields of the fixed-length fields and the variable-length fields are obtained. The method comprises the steps of judging the confusion degree between fields, classifying similar messages into clusters according to the field structure and the distribution of function codes, evaluating the diversity of the function codes, evaluating the accuracy of analysis according to the logic confusion degree and the distribution of the function codes, and dividing the analysis into high, medium and low levels; and the anomaly prediction module determines whether to adjust algorithm parameters or perform local optimization through anomaly degree prediction of the accuracy value, so that the accuracy and the stability of protocol analysis are improved, the defects of an existing tool in processing protocol diversity and clustering errors are overcome, and the accuracy and the reliability of protocol analysis are improved. And the generated protocol format tree can accurately reflect the structure of the complex industrial protocol.

The invention discloses a programming assistant framework, a programming assisting method, equipment, a medium and a product, and relates to the technical field of artificial intelligence, and the programming assistant framework comprises a DevOps platform integration module, a DevOps platform integration module, a DevOps platform integration module, a DevOps platform integration module, a DevOps platform integration module and a DevOps platform integration module, wherein the DevOps platform integration module is used for receiving input information sent by any link in links for code development and maintenance; the input information is sent to a code completion and dialogue function module; the code completion and dialogue function module is used for acquiring code related problems in input information, reading source codes in a project code library, and performing abstract syntax tree analysis on the source codes to obtain an abstract syntax tree; and the RAG retrieval enhancement generation module is used for performing semantic recognition on code related problems to obtain a user intention, traversing the abstract syntax tree according to the user intention, determining code context information, obtaining retrieval information according to the user intention and the code context information, and outputting code suggestions generated according to the retrieval information. The overall development efficiency in the development process is improved.

The invention relates to a structured extraction method and system for electric power overhaul data based on a large model. The method comprises the following steps: collecting and processing original electric power overhaul data; loading and analyzing the standardized naming mapping table of the power system equipment; configuring and calling a large language model, and performing feature extraction on the preprocessed to-be-analyzed text to obtain structured information of a target field; performing semantic similarity calculation based on vector embedding to obtain a corresponding preliminary matching result; further calculating the preliminary matching result according to a standardization algorithm, and establishing a standardization mapping index table of the current plant station and each level of equipment in the station; and the standardized mapping index table is integrated and packaged into a system service or offline file form to be output. According to the method, efficient and accurate structured extraction and standardized processing of electric power overhaul data are realized, complex unstructured text input can be processed, and extracted information is accurately corresponding to standardized equipment and station names through semantic understanding and a multi-stage matching mechanism. The process greatly improves the automation degree and accuracy of data processing.

The invention discloses a registration method for multi-modal retina blood flow image processing, which relates to the technical field of image processing, and comprises the following steps of: firstly, receiving retina blood flow image data from different modalities, preparing for subsequent data processing and registration, and after the retina blood flow images from the different modalities are received, carrying out registration on the retina blood flow image data from the different modalities; image preprocessing is carried out, the difference between different modes is reduced, and it is ensured that the images are analyzed and registered under the same standard. According to the method, the dynamic change trend of blood flow is predicted through the support vector machine model, the similarity measurement threshold is dynamically adjusted, local natural deformation is flexibly dealt with, and registration failure caused by blood flow fluctuation is avoided, so that the robustness and precision of multi-modal image registration are improved, more accurate space alignment is realized especially in a blood flow change salient region, and the registration accuracy is improved. And high-quality image data support is provided for retinal disease diagnosis and pathological analysis.

The invention discloses a construction process construction method based on ship construction process management, and relates to the technical field of ship construction. In order to solve the problems that in the prior art, establishment of a product structure tree and a process structure tree cannot provide a visual and effective ship building process for users and process construction personnel, and the accuracy and reliability of data are low. The construction process construction method comprises the following steps that 1, a ship construction scheme is determined; step 2, constructing a ship construction process; step 3, optimizing a construction process; 4, monitoring the construction process in real time; by establishing a ship three-dimensional model, carrying out stress analysis and structure optimization on the model, unnecessary material use is reduced, so that the construction cost is reduced, the weight of a ship body is reduced, the navigation efficiency is improved, potential problems and risks can be found and solved in advance by simulating the ship construction process, delay and accidents in the actual construction process are reduced, and the ship construction efficiency is improved. And the construction efficiency and the safety are improved.

The invention discloses length self-adaptive steel pipe coating equipment which comprises a rack and further comprises two sets of X-axis displacement mechanisms symmetrically installed on the two sides of the rack, two sets of Y-axis displacement mechanisms symmetrically installed on the two sides of the rack, and two sets of Y-axis displacement mechanisms symmetrically installed on the two sides of the rack. The Y-axis displacement mechanism is mounted between the two groups of X-axis displacement mechanisms; the two Z-axis displacement mechanisms are symmetrically mounted at the front end and the rear end of one side of each Z-axis displacement mechanism; the coating mechanism is mounted below the Z-axis displacement mechanism; the bearing mechanism is arranged in the ground rail in a sliding manner through a supporting plate; the bearing mechanism comprises a driving headstock, a driven headstock and supporting rollers installed on the driving headstock and the driven headstock respectively. The distance between the supporting rollers can be adjusted to a proper length so as to adapt to steel pipes with different lengths, so that the steel pipes can be stably and uniformly supported in the coating process, and the coating quality problem caused by length mismatching is avoided.

The invention relates to an image generation method and device based on a Brown bridge diffusion model, equipment and a medium, and the method comprises the steps: receiving a group of image combinations which comprise a satellite image and a ground panoramic image corresponding to the satellite image; extracting sharing features of the satellite image and the ground panoramic image through a cross-view-angle image joint encoder; performing polar coordinate transformation on the satellite image, and encoding the satellite image and the ground panoramic image after polar coordinate transformation into a potential space to obtain an initial satellite image potential vector and a ground panoramic image potential vector; in the potential space, gradually adding noise to the potential vector of the ground panoramic image to obtain a potential vector of a satellite image; noise in the satellite image potential vector is gradually removed based on the satellite image potential vector and the shared features, and a target potential vector is generated; and decoding the target potential vector to generate a target ground panoramic image. According to the invention, the efficiency and quality of converting the satellite image into the ground panoramic image are improved.

A pre-embedded bolt positioning device for a prefabricated stair comprises an aluminum alloy formwork, the aluminum alloy formwork is connected with angle steel through a connecting structure, and the angle steel and the aluminum alloy formwork are jointly connected with and fix a pre-embedded bolt to form an integral device. The lower ends of the embedded bolts are located between the middle plane formwork and the bottom plane formwork, concrete is cast in place between the middle plane formwork and the bottom plane formwork, and the lower ends of the embedded bolts are located in the cast-in-place concrete. After the concrete is poured and reaches the standard, the aluminum alloy formwork and the angle steel are dismantled (pulled out through the through holes in movable fit), and the embedded bolts are fixed in the solidified concrete. The positioning device for the pre-embedded bolt of the prefabricated stair is simple and reasonable in structure, and disturbance of concrete vibration and pouring impact load on positioning of the pre-embedded bolt does not exist; the embedded bolt is accurate in positioning and firm in fixation, the problem that the installation quality of the prefabricated staircase is affected by re-drilling due to inaccurate positioning is solved, the construction efficiency is improved by using the positioning device for the embedded bolt of the prefabricated staircase, the positioning device can be recycled, and the labor and time cost is saved.

The invention discloses a scale and structure consistency image generation method fusing three-dimensional geometric prior, and belongs to the technical field of computer vision and image generation. The method comprises the following steps: acquiring a scene image and depth information corresponding to the scene image, reconstructing a scene point cloud containing pixel space coordinates and color information, acquiring a colored point cloud of an object to be inserted, placing the colored point cloud at a specified position of the scene through rigid body transformation, and unifying a coordinate system with the scene point cloud; projecting the transformed object point cloud to an image plane through a camera model, determining a visible point according to the depth, and constructing an insertion region mask to remove pixels of a region corresponding to a scene; then constructing a multi-channel geometric structure priori graph containing color, depth and other information, and splicing the multi-channel geometric structure priori graph with the cleared scene image to form a diffusion type generation model input; and finally, generating an image under geometric prior guidance, ensuring that the inserted object is consistent with the original scene in the aspects of position, scale, perspective and the like, solving the problem of insufficient geometric consistency of the existing method, and realizing image content insertion with an accurate structure and real vision.

The invention relates to a plasticizing screw intelligent design system and method based on material characteristics, and belongs to the field of material processing and forming. The invention discloses a plasticizing screw intelligent design system based on material characteristics. Comprising a material characteristic database, a screw structure parameter database, an experimental design module, a computer-aided design module, a computer-aided numerical simulation module, a screw plasticizing performance evaluation module, a screw structure optimization module, an optimal screw structure machine learning module and an optimal screw structure generation module. According to the system and the method, the optimal plasticizing screw structure geometric parameter data based on the plasticizing performance evaluation target criterion can be output only by inputting the material characteristic parameters, and the screw model can be established according to the output screw structure geometric parameter data; the device is used for the next step of screw processing and manufacturing and is applied to the plasticizing production of corresponding materials.

The utility model relates to the technical field of chemical vapor deposition growth, in particular to a cooling growth base station. A cooling growth base station comprises a cooling supporting table, the cooling supporting table is an integrated cooling supporting table formed through 3D printing, a cooling channel is formed in the integrated cooling supporting table in a printing mode, the deformation resistance of the cooling supporting table is integrally improved, and the cooling channel is formed in the integrated cooling supporting table in a printing mode, so that the cooling effect is improved. The structure, the position and the like of the cooling channel are more accurate, it is guaranteed that the cooling uniformity of the cooling supporting table is better, the cooling channel can be arranged close to the upper surface of the cooling supporting table as far as possible through integrated forming, the cooling capacity of the cooling supporting table is improved, temperature balance of the single crystal diamonds is guaranteed, and the growth quality of the single crystal diamonds is good.

The application belongs to the technical field of computer vision, and discloses a window frame structure extraction method and system based on image segmentation and multi-image fusion, which comprises the following steps: obtaining an orthographic window image of a building facade, and performing first preprocessing on the orthographic window image; wherein the first preprocessing comprises window clustering grouping and super-resolution processing; performing window frame segmentation on the first preprocessed orthographic window image based on an image segmentation algorithm to obtain a segmented window frame mask; fusing the window frame masks of the same cluster based on a multi-image fusion algorithm to generate a window frame fusion mask; extracting the geometric parameters and color parameters of the window frame fusion mask; and obtaining a target window frame structure according to the extracted geometric parameters and color parameters; through the steps of the image segmentation algorithm, the multi-image fusion algorithm, the geometric parameter and color parameter extraction, etc., the window frame structure corresponding to the orthographic window image can be accurately extracted.

The utility model discloses an anti-clamping stagnation jet flow valve element which comprises a valve element shell, a valve element, a valve element and a valve element, one end of the nozzle is slidably arranged in the guide groove, the other end of the nozzle is provided with a spout, a first sealing ring is arranged between the outer wall of the nozzle and the guide groove, a through groove is formed in the nozzle, internal threads are arranged on the inner wall of the through groove, a cold water inlet is further formed in the nozzle, and the spout and the cold water inlet are both communicated with the through groove; the spray needle is arranged in the through groove, one end of the spray needle is close to the nozzle, the other end of the spray needle extends out of the valve element shell to form a rotating part, external threads matched with the internal threads are arranged on the outer surface of the spray needle, and the spray needle rotates to drive the nozzle to axially slide so that the cold water flow can be adjusted. The first sealing ring is arranged on the nozzle, so that a sealing structure is formed between the nozzle and the valve element shell, sand and the like are prevented from entering a gap between the nozzle and the valve element shell to cause a clamping stagnation phenomenon, and the integrated spraying needle which is integrally cast is adopted, so that the jet flow effect is better, the structure is more accurate, and the service life of the valve element is longer.

The invention relates to the field of micro electro mechanical systems, in particular to an alignment photoetching eccentricity correction method, a preparation method of a product wafer and a multi-layer bonding wafer. The eccentricity correction method comprises the step of providing a photoetching plate with a preset pattern and a correction plate with a preset pattern, wherein the position of the preset pattern on the correction plate is accurate. The photoetching plate is arranged on a mask table of an alignment photoetching machine, the correction plate is arranged on a workbench of the alignment photoetching machine, and the positions of the preset patterns on the photoetching plate and the correction plate correspond to each other through an automatic alignment system and a moving assembly of the alignment photoetching machine. And replacing the positions of the target wafers with the same size so as to correspond to the position of the photoetching plate. According to the method, the existing alignment photoetching machine is used for photoetching, so that the advantage of high alignment photoetching efficiency is kept, the eccentricity between the photoetching plate and the target wafer is reduced, and the method has relatively high universality and practicability.

The present invention provides a load driving device, which can diagnose a fault of the output terminal before the charging voltage is stabilized in a structure in which a capacitor is connected to the output terminal of the load driving device driving an inductive load. The load driving device of the present invention has a capacitor connected between the load terminal and the ground terminal, and diagnoses whether the load terminal has a fault based on the current flowing between the internal power supply of the diagnostic circuit and the load terminal.

The invention discloses a stable built-in tool setting device of a large-scale high-precision horizontal machining center. The stable built-in tool setting device is composed of a supporting mechanism and a measuring mechanism. The measuring mechanism is arranged in front of the supporting mechanism which is connected with the spindle box. The supporting mechanism is composed of a dragging plate and a supporting shaft assembly. The measuring mechanism is composed of a reference block, a base with a flat shaft, a positioning key, a measuring head and an adjusting nut, the reference block is fixed to the horizontal center line of the carriage, the base with the flat shaft is fixed to the carriage, the positioning key is arranged in a through hole in the front end of the base with the flat shaft and used for anti-rotation positioning of the measuring head connected in the hole, and the adjusting nut is connected to the upper face of the measuring head through threads. The adjusting nut is connected with the flat shaft seat to adjust the vertical position of the measuring head. The problems that tool setting of a machine tool is not accurate due to thermal deformation of the spindle box or manual tool setting is tedious and time-consuming are solved, the requirements for precision and efficiency of tool setting in a large-scale high-precision horizontal machining machine can be met, the structure is simple and accurate, and installation is convenient. The method has the characteristics of practicability, creativity, convenient and fast operation and the like.

The invention relates to the technical field of financial data analysis, in particular to an interactive financial data retrieval and analysis system based on big data. Comprising a data access module, a data unification module, a semantic understanding and intention recognition module, a retrieval execution module, a financial analysis module and an interactive visualization module. The system can access financial information from multi-source data and perform cleaning, standardization, main data alignment and management to generate data for query and analysis. Query intentions and entities are recognized through natural language analysis, structured semantic representation is constructed, and multi-dimensional aggregation, backtracking and predictive analysis are achieved. And the retrieval execution module and the financial analysis module cooperate to ensure that the result is reproducible and credible. And the interactive visualization module dynamically presents the analysis result. According to the method, accurate understanding and structured representation of natural language query of the user are realized, so that financial data retrieval can quickly respond to the intention of the user, the query accuracy and efficiency are improved, and the reliability and precision of financial decisions are improved.

According to a method for producing a three-dimensional shaped food, the method comprising a step of turning a curdlan dispersion liquid into a heat irreversible gel, and a step of ejecting and laminating the gel, it is possible to obtain a three-dimensional shaped food that may withstand precise shaping with good handling properties at the time of ejection but with high shape retention during and after lamination and also has heat resistance after forming.

The embodiment of the application relates to an algorithm and a device of a Bayesian classifier of a non-uniform background, which are applied to an underwater active sonar system, the algorithm comprising: obtaining underwater data to be measured and auxiliary data through the active sonar system; the number K of the auxiliary data is greater than 0; modeling classification of the unknown covariance matrix structure into a binary hypothesis testing problem; hypotheses of the binary hypothesis testing problem comprise H i Wherein i=0, 1, H0 is a case that the unknown covariance matrix is a complex conjugate symmetric matrix; H1 is a case that the unknown covariance matrix is a real symmetric matrix; a Bayesian model is set, the Bayesian model comprising a complex inverse Wishart random matrix and a real inverse Wishart random matrix; a classifier for distinguishing the two hypotheses is obtained by using a minimum error probability criterion.

The application belongs to the cross field of nanomaterials and coordination chemistry, and specifically discloses a near-infrared responsive photothermal silver-palladium nanocluster material, a preparation method and application in near-infrared photothermal conversion. 362 H 270 Ag 20 Cl4F 12 P8Pd5Sb2, which is abbreviated as Ag 20 Pd5(4‑EBP) 18 (DPPP)4(SbF6)2·2CH2Cl2, belongs to a monoclinic system, and a space group is P21 / n, a =16.228(13)Å, b =40.670(3)Å, c =25.941(2)Å, α=90°, β =100.283(2)°, gamma =90°, V=16846(2)Å 3 , and a molecular weight is 8170.22 Da. The preparation method has short process flow, simple operation, and raw materials are easy to obtain. The photothermal silver-palladium nanocluster has a high photothermal efficiency of 73.25% under 915 nm (0.6 W / cm 2 ) laser excitation, and has good application prospect.

The invention relates to the technical field of image detection and financial science and technology, and discloses an image tampering detection method and device, computer equipment and a storage medium. Therefore, the detection result determined through the first direction gradient histogram feature is more accurate. The algorithm of the binary classification model and the first direction gradient histogram features is high in calculation efficiency and does not need complex calculation, so that the algorithm has advantages and is relatively low in complexity when processing large-scale data. The dichotomy model can be trained only through small-scale data during training, practical application is easier, accuracy and robustness are high, meanwhile, the overfitting problem can be effectively avoided, and good generalization ability is achieved. In addition, the binary classification model and the first direction gradient histogram feature algorithm have better interpretability, and the structure and the mode in the image can be clearly represented.

The invention discloses a building three-dimensional damage detection method, which comprises the following steps of: 1, carrying out image acquisition on a target building by using an unmanned aerial vehicle carried with a visible light imager to obtain a plurality of building images covering the whole target building, and generating a building DSM (Digital Subscriber Model); 2, acquiring a top elevation image of the target building; 3, detecting the elevation change of the target building; 4, detecting the top damage of the target building; 5, detecting side damage of the target building; and 6, visualizing the damage of the target building. The method is simple in steps and reasonable in design, the unmanned aerial vehicle is used for shooting the images of the target building at multiple angles, detection of elevation change, top damage and side damage of the target building is achieved, and overall visualization of damage of the target building is achieved.

The present invention discloses a multi-color fully automatic rotary mold core automatic assembly welding mechanism, including an upper turntable, a lower turntable, a turntable auxiliary mechanism, a first rotary mold core, a second rotary mold core, a third rotary mold core, a first fixed mold core, a second fixed mold core, an oil cylinder, a suction and blowing device, a mold induction switch, a turntable signal receiver, a push rod, a main gun nozzle, a top gun nozzle, a side gun nozzle, a buckle and a sliding push block mechanism. The multi-color in-mold assembly welding mechanism of the present invention has a precise structure, a short molding cycle, convenient installation, low cost, and strong practicality, and is suitable for the production of most similar products. This mechanism breaks the traditional constraints, and completely subverts the traditional multi-material beer-in-mold and external welding process through in-mold assembly and welding integrated molding. The product has a high yield, no obvious marks on the connection parts, perfect appearance, strong sealing, and excellent structural strength. Compared with traditional processes, the number of mold parts is simplified and the overall molding cycle of the product is shortened.

The invention discloses an application of a rare earth complex material in up-conversion circular polarization luminescence, and belongs to the technical field of up-conversion circular polarization luminescence. The rare earth complex fills the blank of the rare earth complex in the field of chiral up-conversion luminescence, and compared with a traditional up-conversion circular polarization luminescent material system, the rare earth complex has the advantages of large luminescence asymmetry factor, excellent solubility, accurate structure, controllable synthesis, high repeatability and the like, so that the rare earth complex can bring better biological compatibility and can be applied to the field of chiral up-conversion luminescence. The chiral upconversion luminescent material is expected to become a novel chiral upconversion luminescent material in biological application, so that understanding is provided for interaction between biological systems, and a new tool and a new method are provided for disease diagnosis and treatment.

The utility model discloses a fire vehicle -mounted electric rubber dinghy platform relates to fire equipment field, including bottom plate, electric capstan and manual capstan, and the bottom plate top one side is hinged with the storage platform through the rotating shaft, and the bottom plate, electric capstan and manual capstan are all installed at the top of the external fire engine, and the bottom plate includes bottom plate main part, and one side fixed connection of bottom plate main part has hydraulic rod, and hydraulic rod is equipped with two groups and is fixed at one side of bottom plate main part, and electric capstan includes capstan main part, and this platform can utilize the bundle rope and fix electric rubber dinghy on the storage platform surface, when using, can manually rotate and lift the storage platform, utilizes electric capstan to spread the storage platform, and the unfolded storage platform is contacted with the ground, and the fireman is convenient to take down electric rubber dinghy and uses, and the whole operation process is fast and efficient, can all -round improve the efficiency, safety and adaptability of water area rescue action, better guards the life and property safety of the people.

The invention relates to a machining method for a thin-wall cylinder with a composite angle characteristic, belongs to the technical field of machining, and solves the problem that a small-size cylinder with an inner cavity with the composite angle characteristic is difficult to machine in the prior art. The invention discloses a machining method for a thin-wall cylinder with composite angle characteristics. The machining method comprises the steps that the cylinder is fixed to a machine tool rotary table (A axis) through an inner cavity machining clamping tool and is positioned and aligned; the machine tool turntable is fixed on the machine tool worktable (B shaft); the required composite angle is fitted by rotating the A shaft and the B shaft, and the long-arm right-angle milling head is matched to realize the processing of the composite angle characteristic of the inner cavity of the barrel. According to the machining method, the non-linkage five-axis machine tool can be used in cooperation with the special tool and the milling head, machining of the small-size barrel with the inner cavity having the composite angle characteristic is achieved, the requirement for machining equipment is lowered, operation is relatively easy, the machining precision is controllable, the machining cost is greatly reduced, and the machining method is suitable for large-scale production and large-scale popularization.

The utility model relates to the field of SF6 gas micro-water density, and discloses auxiliary calibration equipment for an SF6 gas micro-water density sensor, which comprises a sensor, the sensor is placed in a box body, the inner bottom surface of the box body is fixedly connected with a mounting seat, the sensor is clamped in the mounting seat, an additional box is fixedly connected to one side, corresponding to a gas inlet pipe of the sensor, outside the box body, and the additional box is connected with the sensor. A multi-parameter gas calibration structure is arranged in the additional box, a sealing connection structure is arranged between a gas inlet pipe of the sensor and the multi-parameter gas calibration structure, a data collecting and processing system is installed on one side in the box body, and the top end of the sensor is connected with the data collecting and processing system in a wiring mode. A temperature control system is installed on the side, opposite to the data collecting and processing system, in the box body, multi-parameter gas calibration structures such as the humidity generator, the standard gas tank and the pressure calibration instrument are integrated in the additional box, the gas input pipeline layout, the precise pipeline design and the sealing connection structure are optimized, and gas leakage is effectively avoided.