117results about How to "Avoid ambiguity" patented technology

The invention belongs to the field of artificial intelligence and financial science and technology, and relates to a document segmentation method, which comprises the following steps: carrying out style feature recognition and title text recognition on a to-be-segmented document to obtain a title style result and a title text result, and then carrying out recognition verification on the title style result and the title text result through a multi-modal title recognition large model to obtain a segmented document. And obtaining a final title recognition result, constructing tree hierarchical representation based on the title recognition result to obtain a document chapter structure, and segmenting the to-be-segmented document according to the document chapter structure. The invention further provides a document segmentation device, computer equipment and a storage medium. In addition, the invention also relates to a block chain technology, and the to-be-segmented document can be stored in a block chain. According to the method and the device, the document is segmented in a chapter form, the semantic integrity of segmentation is ensured, and key information is effectively extracted and structured.

The invention relates to the technical field of fault detection for a wireless communication network, and discloses a fault detection method for the wireless communication network. By collecting data of base station signal strength, network delay, data packet loss rate and user equipment signal quality, the problem of insufficient fault detection caused by a single index is solved. Through multi-dimensional data acquisition, the system can comprehensively evaluate network performance, the fault detection accuracy is improved, and different fault types can be effectively identified especially in a complex fault mode. By storing the data according to the time sequence, the problem of time sequence chaos is avoided, and accurate detection of time-varying faults is ensured. The comprehensive data vector generated by each time of sampling comprises a plurality of network performance indexes, so that the fault detection and positioning capability is improved. Abnormal values are eliminated through data preprocessing, the data quality is ensured, an accurate basis is provided for subsequent analysis, and the reliability of a detection result is ensured.

The invention relates to the technical field of intelligent monitoring, regulation and control of welding process parameters, and particularly discloses an intelligent regulation and control method and system for resistance welding process parameters of a junction box. Abnormal pressure applying links in the welding process are recognized, and the low-risk pressure applying process is extracted for welding; after welding is completed, the strength and size indexes of welding spots are evaluated through welding spot quality detection, the welding spot quality deviation coefficient is calculated, and whether the welding quality reaches the standard or not is judged; and for the welding spots with unqualified welding quality, the system calculates the adjustment direction and range of the pressure parameters through an optimization algorithm, test welding is conducted according to the optimized parameters, and the improvement effect of the pressure applying process is verified in real time till the welding spot quality meets the preset standard.

The invention provides an implicit three-dimensional geologic modeling method and device combined with machine learning and a medium, and relates to the field of three-dimensional geologic modeling, and the method comprises the steps: obtaining original drilling data of a research area; a preset number of virtual drill holes are generated through a distance weighting method, and virtual drill hole data are obtained; preprocessing the original drilling data and dividing the original drilling data into a training set and a test set; training and testing the random forest model through the training set and the test set; the lithology of the virtual drilling data is predicted through the trained random forest model, and a virtual lithology prediction result is obtained; adding the virtual lithology prediction result to the virtual drilling data to obtain first virtual drilling data; the original drilling data and the first virtual drilling data are imported into implicit modeling software for three-dimensional modeling, and a three-dimensional ore body model is obtained. A more accurate and reliable geologic model is constructed by adding the virtual drill hole and predicting the virtual drill hole by the random forest model.

The utility model belongs to the technical field of oil tank oil quantity detection, and discloses an oil tank oil quantity detection device which comprises a protective shell, a fuel oil storage pipe is arranged in the protective shell, the bottom of the fuel oil storage pipe is connected with a communicating pipe, a transparent window is arranged on the fuel oil storage pipe, a liquid level window is arranged at the position, corresponding to the transparent window, of the protective shell, and the liquid level window is connected with the communicating pipe. A cleaning assembly is mounted on the protective shell and comprises a displacement block, the displacement block is arranged in the fuel storage pipe, a cleaning and scraping ring is arranged on the outer side of the displacement block, an extending rod is connected to the top of the displacement block, and the top end of the extending rod penetrates through the fuel storage pipe and the protective shell and is fixedly connected with a top plate; a driving motor is installed at the top of the top plate, the output end of the driving motor is connected with a lead screw, when fuel oil in the oil tank reaches the bottom, the inner wall of the fuel oil storage pipe can be cleaned and scraped through a cleaning and scraping ring when a displacement block moves downwards, the situation that a transparent window is blurred due to long-time attachment of the fuel oil is avoided, and observation of the internal oil amount is facilitated.

The embodiment of the invention relates to the technical field of coating, and discloses a coating composition, a coating method for highlighting wood grains and coated wood. According to the coating composition and the coating method, an effective solution is provided for solving the problems that in the prior art, wood grains are not obvious in appearance, and coatings are high in covering power and prone to discoloration. The shellac or the shellac-based derivative material is selected as the film-forming agent, and the appropriate volatile carrier solution is matched, so that a paint film formed by the coating on the wood surface is transparent and durable, and the service life of the wood surface is prolonged. By means of the detailed coating step, it is ensured that the coating evenly covers the surface of the wood and penetrates into micropores of the wood, the wood texture is more distinct, and the phenomenon that in a traditional technology, the wood grain is fuzzy due to coating accumulation or uneven permeation is avoided. In conclusion, according to the coating composition and the coating method, the ideal effects of attractiveness and practicability are achieved.

The invention discloses a peacetime and wartime combined traffic infrastructure node importance dynamic evaluation method. The method comprises the following steps: firstly, collecting basic information and traffic network information of traffic infrastructure nodes in a to-be-evaluated region, and constructing a three-level evaluation index system; constructing a single-layer undirected weighted sub-network and an overall multi-layer undirected weighted network under each traffic mode according to the distance between the edges of the nodes; determining the degree, betweenness and compactness of each node; according to a CRITIC method, objective weight values of all indexes in the three-level index system are determined; according to a D-AHP method, determining a subjective weight value; according to a game theory, determining a comprehensive weight after subjective and objective weight combination optimization; according to a TOPSIS method, determining a basic score and a usual importance degree sequence of each node; determining an efficiency score of each single-layer sub-network; determining the comprehensive efficiency of the whole multi-layer network; and determining a wartime importance degree sequence of each node according to the residual overall multi-layer network comprehensive efficiency after the nodes are dynamically deleted.

The invention provides an improved analysis method for conventional pressure recovery well testing. The improved analysis method comprises the steps that 1, improved conventional pressure recovery well testing analysis is conducted; and step 2, analyzing and solving the improved conventional well test. According to the method, a conventional pressure recovery well testing analysis theory explanation method is improved, continuous changes of reservoir parameters are analyzed through a nonlinear segment analysis method, and more reliable parameters are provided for meeting actual production requirements.

The invention provides a post-evaluation method for an asphalt pavement maintenance technology of an operating road, and relates to the technical field of road maintenance evaluation. Establishing an adaptive weight calculation model based on machine learning, and calculating a weight vector of each index; performing economic benefit quantitative evaluation according to an arc tangent decay model, and determining an economic benefit-cost ratio; performing qualitative evaluation by adopting a success degree method, establishing a grading evaluation system, and forming a standardized evaluation grade table; establishing a comprehensive evaluation system, and generating a fusion evaluation matrix; calculating a comprehensive evaluation vector, constructing a comprehensive evaluation matrix, calculating a comprehensive evaluation result based on the comprehensive evaluation matrix, determining a final evaluation grade, and obtaining a final evaluation result after maintenance. According to the method, a set of complete post-maintenance evaluation method is established by constructing a multi-dimensional evaluation index system and combining a qualitative and quantitative evaluation method, standardization and normalization of the evaluation process are realized, and scientificity and reliability of an evaluation result are improved.

The invention provides a gravitational wave detection drag-free spacecraft formation attitude-orbit coupling control method, and belongs to the technical field of spacecraft control. Comprising the following steps: S1, establishing a spacecraft platform based on attitude errors, and checking a relative attitude motion model of a mass block; s2, establishing a spacecraft platform based on the relative position error, and checking a relative translational motion model of the mass block; s3, based on the relative attitude motion model and the relative translation motion model, constructing an attitude-track coupling control model of the drag-free navigator formation; s4, giving assumed conditions, and linearizing the attitude-orbit coupling control model of the drag-free navigator formation; and S5, decoupling the linearized attitude-track coupling control model of the drag-free navigator formation into a drag-free control subsystem, an attitude control subsystem and an electrostatic suspension control subsystem, and designing a control law for each subsystem for control.

The invention discloses an image measuring instrument positioning device which comprises a fixed bottom plate, a light source adjusting assembly, a lens cleaning structure and a workpiece moving platform, and aims to solve the problem that when a common image measuring instrument measures a workpiece with a large surface concave-convex fluctuation, the surface of the workpiece is unsmooth when different positions are measured due to the surface fluctuation of the workpiece. In order to solve the problem that measurement errors are caused by the change of the distance between the measuring instrument and the workpiece, a distance control assembly is designed, and through the arrangement of the distance control assembly, the distance between a lens and the surface of the workpiece can be automatically controlled when different positions of the workpiece are measured, so that the distance between the lens and the surface of the workpiece can be automatically controlled when the surface of the workpiece fluctuates. The height of the image measuring instrument is automatically adjusted, so that the distance control function is realized, and through the arrangement of the light source adjusting assembly, the illumination intensity can be automatically adjusted when different distances are measured.

The invention relates to a channel correction method and device for solving dual-target joint steering vector fuzziness, and the method comprises the steps: firstly, obtaining a joint MVDR spectrum of a current single information source and an auxiliary single information source, and reserving two groups of orientation estimation results corresponding to two highest spectrum peaks in each estimation; secondly, Euclidean distances between a plurality of estimated orientations and candidate orientations of the single information source are calculated, the minimum half distance values are selected and averaged to obtain a half Euclidean average distance, and the candidate orientation when the average distance is minimum is the estimated orientation of the single information source. And then, according to the estimated orientation of the single information source, deducting an inherent array steering vector of the estimated orientation in the sampling data to obtain a channel correction value obtained through the single information source. And finally, obtaining an amplitude correction value through a plurality of single information sources, obtaining an amplitude correction value through a median of the amplitude, and obtaining a phase correction value through a median of the phase. The ambiguity of the dual-target joint steering vector is overcome, and the channel correction result is more stable.

The invention discloses a discrete manufacturing multi-view BOM dynamic derivation method and system based on a tree-shaped network structure, and belongs to the technical field of intelligent manufacturing and product data management. The method comprises the following steps: constructing a tree body as a single product data source, and storing a hierarchical relationship, attribute definition and engineering semantics of a product in a tree structure; based on the tree body, dynamically matching derivation rules through a mesh mapping relation library; executing rule matching, semantic verification, structure reconstruction and dictionary verification by utilizing a dynamic view derivation engine to generate a target BOM view; semantic constraint and verification are carried out on the derivation process through a BOM data dictionary module; and realizing access control and audit based on role, scene and data sensitivity through the security and authority control module. According to the method, a new generation of xBOM dynamic derivation architecture which takes a tree form as an ontology, takes a net form as mapping, is configurable in rule and is strong in data specification is constructed; the fundamental problem of discrete manufacturing multi-view BOM management is solved, and engineering rationality and service flexibility are both achieved.

The invention discloses an online monitoring alarm network system based on a lightning protection environment, and relates to the technical field of lightning protection monitoring, and the system comprises a data collection module which is disposed at an offshore wind power plant and is used for collecting multi-dimensional data including salt mist concentration, wind speed, lightning parameters and lightning protection equipment state parameters; the data processing module is in communication connection with the data acquisition module and is used for receiving, fusing and analyzing the multi-dimensional data, performing scoring calculation by constructing a quantitative scoring model and endowing each dimensional parameter with a weight, and outputting a quantitative risk level according to a total score interval judgment mode; the early warning and linkage module is in communication connection with the data processing module and is used for executing graded early warning and linkage control based on the risk grades; the data processing module is further used for calculating the health state index of the SPD and dynamically predicting the remaining effective life of the SPD based on the health state index and the real-time environment parameters. The system has the functions of self-adaption to environment change and lightning protection monitoring and early warning.

The present invention discloses a non-line-of-sight stationary personnel positioning method and system, which belongs to the field of radar sensing technology. A distance-velocity spectrum matrix is ​​obtained according to an intermediate frequency signal, and a constant false alarm rate detection is performed on the processed distance-velocity spectrum matrix to obtain a distance-velocity spectrum matrix of a stationary personnel target. According to the distance and signal strength of the stationary personnel target in polar coordinates, the micro-motion speed of the stationary personnel target, and the angle of the stationary personnel target in polar coordinates, the centroid of the clustered radar point cloud is obtained, and the coordinates corresponding to the centroid of the clustered radar point cloud are used as the position of the stationary personnel target. The present invention can capture the micro-motion characteristics of stationary personnel in a strong background noise environment, overcome the large positioning deviation problem caused by non-line-of-sight occlusion and indoor multipath by decoupling coherent multipath signals, and consider the distribution characteristics of radar point clouds. An adaptive parameter clustering algorithm is designed to avoid ambiguity caused by different environmental variables, and has good robustness, is concise and effective, and has broad application prospects.

According to the marker for systematic senescence detection and the application of the marker, large-scale samples of individuals of different age groups and health conditions are collected, comprehensive and deep analysis and experimental research are conducted, the key effect of elastin fragments in the senescence process is defined, and the elastin fragments are determined as the effective senescence detection marker. Meanwhile, the action mechanism of the elastin fragment as the marker is elasticated, including the close relation between the elastin fragment and senescence-related physiological indexes, cell signal channels and tissue and organ function changes, so that the senescence process can be accurately and effectively evaluated, and an accurate basis is provided for early diagnosis of various senescence-related diseases; the important value is realized in the fields of anti-aging research and clinical application. Meanwhile, a new way is opened up for developing a targeted intervention treatment strategy, and the method has a wide and good application prospect.

The invention relates to the field of multi-robot cooperative scheduling, and discloses a multi-robot cooperative scheduling unmanned underground mechanical garage system and method, and the system comprises a hardware subsystem which comprises a transfer robot, a parking space frame, a vertical elevator, and an entrance and exit junction area; the control system is deployed in the central control server, and the control system comprises a multi-layer dynamic data grid generation module which is used for constructing a discretized data grid corresponding to a garage physical space; and the central data calculation module is used for continuously updating the data of each data layer in the multi-layer dynamic data grid according to the real-time state of the garage. In the regional congestion degree and traffic control layer, the congestion index is calculated according to the density, the speed variance and the dispersion in the movement direction of the transfer robot, and the task gravitation modulation coefficient is generated, so that the tendency of the robot to enter the crowded region is reduced, the adaptive dispersion of the traffic flow is promoted, and the continuity of garage operation is maintained.

The invention relates to the technical field of logging, in particular to a method for calculating formation pressure while drilling through a corrected dc index model, terminal equipment and a storage medium, and the method comprises the four steps of formation pressure or formation pressure coefficient modeling, target well formation pressure coefficient back calculation, dc index correction calculation and formation pressure calculation. The method comprises the following steps: calculating formation pressure by adopting logging information before drilling, establishing a seismic formation pressure inversion model, calculating a dc correction index by adopting inversion during drilling, and establishing a relation model with the formation pressure according to an Eaton model; by comprehensively utilizing earthquake, logging and formation pressure coefficient data, a formation pressure model conforming to a regional formation pressure distribution rule is established, and the formation pressure of a target well is calculated more accurately by correcting a d index. According to the method, the prediction precision of the formation pressure is improved, and an important reference basis is provided for drilling engineering.

The application discloses a simulation method for quantitatively predicting gas seepage and crater formation evolution process in a hydrate area and related equipment, and the method comprises the following steps: obtaining three-dimensional seismic data of a target area, and obtaining thickness data through layer velocity modeling and time-depth conversion; based on the thickness data and pre-acquired physical parameters, a first quantitative relationship between gas column growth rate and seepage velocity is quantified by using Darcy's law; based on the first quantitative relationship, a second quantitative relationship of gas migration time is obtained through integral method processing; the first quantitative relationship and the critical condition of quicksand are solved together to obtain a third quantitative relationship of crater depth, and then a crater space form constraint is constructed; and based on the crater space form constraint and the pre-acquired average methane flux, the total methane flux of the target area is simulated. The application can realize physical constraint quantitative prediction of deep fluid seepage process and crater formation evolution, and can be widely applied to the technical field of data processing.

The invention provides a method for analyzing the influence of power coupling characteristics on a power grid side. The method is suitable for a novel power system connected with high-proportion new energy and power electronic equipment. The method comprises the following steps: firstly, based on a ZIP model, combining two types of load parameter characteristics to derive four types of coupling characteristics of active power-reactive power of a load side; combining a Newton-Raphson power flow equation, and analyzing an influence mechanism of the Newton-Raphson power flow equation on a power grid side through a Jacobian matrix; then, the influence degree and the causal direction are quantified through inverse information entropy causal reasoning; and finally generating a power grid regulation and control reference scheme. According to the invention, accurate analysis and quantification of coupling influence are realized, and powerful support is provided for safe, stable and economical operation of a novel power system.

The present application relates to the technical field of electrical system design, and particularly relates to a spacecraft electrical system interconnection component path planning optimization method and system. The method comprises the following steps: obtaining interconnection component data; constructing adjacency relationship according to the interconnection component data to obtain component adjacency data; selecting a beam splitting point according to the component adjacency data to obtain beam splitting point data; estimating point port cost of the beam splitting point data to obtain point port cost data; generating a control linkage graph according to the component adjacency data to obtain control linkage graph data; generating an interpretation field according to the control linkage graph data to obtain interpretation field data; determining the splitting benefit of the point port cost data and the interpretation field data to obtain splitting benefit data; and evaluating the hard constraint of the splitting benefit data to obtain beam splitting point feasibility evaluation data. The present application realizes the constraint of the beam splitting point position and the control semantics, effectively avoids the cross-stage control reversal and redundancy failure problems.

According to an embodiment of the present disclosure, a method performed by a user equipment comprises the steps of: receiving configuration information related to a plurality of control resource sets (CORESETs); receiving configuration information related to a timing advance group (TAG); and releasing the configuration related to the uplink transmission based on expiration of the time alignment timer related to the TAG. The TAG comprises i) a first TAG related to the first CORESET pool index and ii) a second TAG related to the second CORESET pool index, the time alignment timers comprise i) a first time alignment timer related to the first TAG and ii) a second time alignment timer related to the second TAG, and configuration related to uplink transmission is released based on expiration of the first time alignment timer.

The invention discloses a medical follow-up visit suggestion generation method, system and device and a medium, and relates to the technical field of computers, and the method comprises the steps: obtaining a target inspection report, and extracting a target abnormal value and a corresponding target abnormal value label from the target inspection report; inputting the target abnormal value label into a preset semantic vector model so as to perform vector conversion on the target abnormal value label through the preset semantic vector model to obtain a corresponding target feature vector; performing vector conversion on each abnormal value label in an abnormal value label-follow-up visit suggestion constructed in a key value pair form in a preset follow-up visit database through a preset semantic vector model to obtain a corresponding feature vector to be matched; and calculating the similarity between the target feature vector and each to-be-matched feature vector, determining a follow-up visit suggestion corresponding to the target feature vector based on a target similarity result with the highest similarity, obtaining a medical follow-up visit suggestion corresponding to the target abnormal value, and ensuring that the provided follow-up visit suggestion has pertinence.

The invention provides a multi-stage vibration sweet potato digging and conveying device which comprises a machine frame and further comprises a walking mechanism, a driving system assembly, a conveying mechanism, a digging mechanism, a vibration mechanism and a depth limiting mechanism, the walking mechanism is arranged at the bottom end of the machine frame, and the driving system assembly is arranged at the upper end of the machine frame; the conveying mechanism is erected at the upper end of the rack and located above the driving system assembly, the excavating mechanism is arranged at the front end of the conveying mechanism, the depth limiting mechanism is arranged at the front end of the conveying mechanism and located above the excavating mechanism, and the vibrating mechanisms are arranged in the middle of the conveying mechanism. The problems that the amount of labor used for sweet potato harvesting is large and the labor intensity is high at present are solved, and meanwhile the problems that sweet potato and soil separation is not clear, efficiency is low, digging resistance is large, and harvesting loss is large existing in sweet potato mechanical harvesting at present are solved.

The present invention relates to a channel correction method and device for resolving the ambiguity of a dual-target joint steering vector. The method comprises: first, obtaining a joint MVDR spectrum of a current single information source and an auxiliary single information source, and retaining two groups of azimuth estimation results corresponding to the two highest spectrum peaks for each estimation. Secondly, calculating the Euclidean distances between multiple estimated azimuths of the single information source and candidate azimuths, and selecting the smallest half of the distance values ​​and taking the average thereof to obtain the half Euclidean average distance, and the candidate azimuth with the smallest average distance is the estimated azimuth of the single information source. Then, according to the estimated azimuth of the single information source, the inherent array steering vector of the estimated azimuth in the sampled data is deducted to obtain a channel correction value obtained by the single information source. Finally, for the correction values ​​obtained by multiple single information sources, the median of the amplitude is taken to obtain the amplitude correction value, and the median of the phase is taken to obtain the phase correction value. The present invention overcomes the ambiguity of the dual-target joint steering vector, and the channel correction result is more stable.

The invention relates to the technical field of oil exploration, in particular to a construction method of a horizontal well stratum model. According to the method, the seismic stratigraphic line is adopted as the overall trend line of the stratigraphic, the overall fluctuation form of the stratigraphic is controlled, and the multiplicity of solution of angle adjustment in a previous method is avoided; the stratum interface of the stratum model is calibrated through the stratum true dip angle obtained through while-drilling azimuth imaging logging, so that the precision of the stratum dip angle is improved. Through the method, the workload of manual modeling is greatly reduced, and the modeling precision is improved.

The invention relates to the technical field of property service, and discloses a property service work order automatic distribution method and system, and the method comprises the following steps: S1, collection of order distribution information: firstly, the order distribution information needs to be collected, the order distribution information comprises a work order type, an emergency degree, a place and the like, and the information can be automatically obtained through a property management system; adding can also be carried out in a manual input mode; the beneficial effects of the invention are that the unified information management platform unit is set and established, all information in an enterprise is standardized, the consistency and accuracy of the information are ensured, ambiguity caused by lack of uniformity of the information in the enterprise is avoided, the information flow channels between information systems can be reduced by establishing an informatization unified platform, and the information management efficiency is improved. The information leakage risk is reduced, the economic benefits and reputation of enterprises are protected, the efficiency and effect of property service work order management can be remarkably improved, the degree of satisfaction of owners and the overall community service quality are improved, and management is more convenient.

The utility model relates to the technical field of packaging cartons, and discloses a packaging carton with a display function, which comprises a packaging carton body, a flip cover, a base and a display component, the flip cover for sealing the packaging carton body is arranged at the top of the packaging carton body, the base is arranged in the packaging carton body, and the display component is arranged in the packaging carton body. A supporting column is arranged on the base through a connecting piece, a first reinforcing rib is fixedly connected to the supporting column, a second reinforcing rib is fixedly connected to the supporting column, the supporting column supports the packaging carton body through the first reinforcing rib and the second reinforcing rib, a turning frame is rotationally connected to the supporting column, and a plurality of clamping grooves are formed in the packaging carton body. The supporting columns are matched with the first reinforcing ribs and the second reinforcing ribs to disperse impact pressure borne by the packaging carton body, the packaging carton body can better bear the action of various external force, the physical strength of the packaging carton body is guaranteed, the damage resistance is improved, deformation caused when the packaging carton body is pressed or impacted can be prevented, and internal commodities are prevented from being damaged.

The invention relates to the technical field of food processing, in particular to a quick-frozen glue pudding surface printing process which at least comprises the steps of glue pudding making, inspection, printing, quick freezing, packaging and cold storage. In the quick-freezing step, a quick-freezing machine is adopted for treatment, and the temperature is controlled to be-32 to-35 DEG C. According to the surface printing process for the quick-frozen glue pudding, the glue pudding is subjected to quick-freezing treatment after printing, so that the glue pudding is good in printing effect and clear and complete in pattern, and the phenomena of fuzzy pattern and excessive color fading cannot occur after the glue pudding is boiled in water at high temperature.

The present application relates to a kind of mu imaging detection method and system of multi-data fusion, belong to blast furnace detection imaging technical field.The method includes: through the mu detector arranged around blast furnace, the mu trajectory data of penetration blast furnace is collected;Space reconstruction is carried out based on mu trajectory data, and three-dimensional imaging model representing the density distribution of blast furnace interior is constructed;Multiple source observation data are obtained;Wherein, multiple source observation data at least include thermal data and acoustic data;Based on multiple source observation data and three-dimensional imaging model, construct joint inversion objective function;The joint inversion objective function is solved, and the state imaging distribution based on the three-dimensional imaging of blast furnace is output;Wherein, state imaging distribution includes material density distribution, temperature field distribution.Through the above-mentioned mode, the state parameter acquisition of full dimension, high precision blast furnace interior can be realized, solves the defect that traditional sensor single parameter is not covered completely, and detection precision is insufficient.