223results about How to "Go digital" patented technology

The invention discloses a method for realizing high-efficiency low-consumption micro-aerobic hydrolytic acidification of petrochemical wastewater by regulating and controlling the aeration rate in combination with a space-time diagram neural network and reinforced learning, and relates to a method for realizing high-efficiency low-consumption micro-aerobic hydrolytic acidification of petrochemical wastewater by regulating and controlling the aeration rate. The method comprises the following steps of: 1, collecting and cleaning data; 2, constructing a graph data set; 3, training the ST-GNN model; 4, constructing a deep Q reinforcement learning model; 5, the trained ST-GNN model is embedded into an automatic control system of a sewage treatment plant, and the model outputs the optimal aeration rate of the current time step and predicts the micro-aerobic hydrolytic acidification effect through interaction of the current working condition and historical data; and adjusting operation parameters of aeration equipment according to the output of the model, and carrying out hydrolytic acidification treatment. The method is high in regulation and control efficiency and low in operation error, and can be applied to the field of digital and intelligent management of sewage treatment plants.

The invention provides an RFID-based power supply management method for a tilt angle sensor of a power tower, and the method comprises the steps: employing a support vector machine and a decision tree, analyzing the historical operation data of the tower, building a tower fault prediction model, predicting the state of the tower through the tower fault prediction model, and obtaining the fault probability and time of the tower; according to a tower fault prediction result, a preventive maintenance plan is made, priority maintenance is arranged for the tower with the fault probability larger than a preset threshold value, and a power supply strategy is adjusted in advance for the tower predicted to have a fault, and load pressure is reduced; a tower group intelligent power supply management system is adopted, state information and a power supply strategy of a single tower are integrated into a whole power grid, the power supply load of each tower is dynamically adjusted through a load balancing algorithm, and for a tower in a dangerous state, the power supply load of the tower is reduced, and the load is transferred to a tower in a good state.

The invention provides a sewage treatment operation cloud platform based on Internet of Things and GIS, and the platform is characterized in that a data collection layer is used for obtaining user water consumption data and sewage pipe network data, and distributing all the data to each edge calculation node; the data storage layer is used for temporarily storing the data preprocessed by the edge computing node into a high-frequency storage chain, aggregating to obtain sewage pipe network comprehensive data, and permanently storing the sewage pipe network comprehensive data into a low-frequency storage chain; the data analysis layer is used for extracting sewage pipe network comprehensive data in the low-frequency storage chain, constructing a multi-dimensional dynamic GIS model by utilizing a GIS system, analyzing and predicting the multi-dimensional dynamic GIS model through a sewage treatment rectification analysis model, and generating a sewage treatment rectification plan of the sewage pipe network according to an analysis and prediction result; and the application service layer is used for acquiring all the sewage treatment and rectification plans and distributing all the sewage treatment and rectification plans to a management client held by a sewage pipe network manager. The sewage treatment device has the effect of efficiently and intelligently realizing sewage treatment.

The invention provides an intelligent assembling and welding manufacturing method and system for an open-type pressure machine tool body, and relates to the technical field of open-type pressure machine tool body assembling and welding. The method comprises the steps that according to the structural characteristics of the open-type pressure machine tool body, the machine tool body is divided into a plurality of independent functional modules, and the functional modules are positioned and clamped; the assembled open type pressure machine tool body is obtained; the method comprises the steps that a welding sequence optimization model of welding seams is established according to a key stress structure of an open type pressure machine tool body, and the optimal welding sequence of the welding seams is obtained by solving the welding sequence optimization model; welding the assembled open-type pressure machine tool body by utilizing the optimal welding sequence, and in the welding process, identifying a welding seam type and defect characteristics by adopting a phased array ultrasonic imaging technology, outputting a welding defect ultrasonic imaging result, predicting an expansion evolution behavior of the defect according to an intelligent detection result, and forming a quantitative defect evaluation system; and multi-information fusion intelligent evaluation of the welding quality is realized.

The invention discloses a virtual restoration system for damaged cultural relics, relates to the field of virtual restoration of the damaged cultural relics, and solves the problems that the restoration effects of textures and geometric shapes of damaged areas are difficult to be completely consistent, the recognition capability for complex damage modes and disease types is weak, and the restoration effect is poor. The technical problems of difficulty in realizing sharing and cooperative processing of cultural relic data among different mechanisms and lack of digital display and propagation of models in the prior art are solved in the invention. The method comprises the following modules: a cultural relic fragment data import and export module, which is used for obtaining three-dimensional information of cultural relic fragments through a three-dimensional scanning device and then carrying out preprocessing operation; the cultural relic fragment data feature enhancement and classification module is used for extracting geometric features and texture features of cultural relic fragments by using corresponding technologies, and constructing a three-dimensional digital model after classification and splicing by combining with a machine algorithm, and the cultural relic fragment interactive splicing module is used for developing a data sharing platform by using a cloud computing technology. And constructing a virtual cultural relic restoration environment by using a virtual reality technology.

The invention relates to the technical field of logistics informatization management, and discloses a warehousing method for logistics informatization management, and the method comprises the steps: 1, determining the target and demands of warehouse management, and reasonably planning a warehouse region according to the actual condition of a warehouse; 2, inputting detailed information of the goods into a warehouse management system, and inputting and managing customer information; 3, receiving purchased commodities, and carrying out inventory management and ex-warehouse management; 4, collecting various data in the warehousing operation process in real time, including the warehousing quantity, the ex-warehouse quantity, the stock quantity and the operation efficiency, and providing a decision support function according to a data analysis result; and 5, regularly maintaining and checking the warehouse management system to ensure the stable operation of the system and the safety of data. According to the warehousing system for reducing manual operation and paper file processing and logistics informatization management, automatic equipment, an information system and the Internet of Things technology are adopted, and the management efficiency and accuracy are greatly improved.

The invention discloses a mathematical ancient book illustration identification method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a mathematical ancient book illustration; dividing the mathematical ancient book illustration into a character area, a formula area and an image area, and recording respective position information of the three parts as first position information; carrying out OCR (Optical Character Recognition) on the character region, carrying out formula restoration on the formula region, and restoring the image region; and performing layout reconstruction on the math ancient book illustration according to the text identified by the OCR, the restored formula, the restored image and the first position information to obtain a math ancient book illustration identification result, thereby realizing effective identification and digitization of the math ancient book illustration.

The invention relates to the technical field of block chains, DID, data cross-border and data sharing, in particular to a security industry cross-border data sharing method and system based on a block chain and DID, and the method comprises the steps: S1, identity registration and authority distribution; s2, data release and contract release; s3, data receiving and contract execution; and S4, supervision auditing: each supervision party issues a supervision intelligent contract through a specified DID identity and a block chain account according to own business characteristics, and each participant participating in data sharing can select the supervision party needing submission, and triggers the corresponding intelligent contract to carry out flow data submission. The method has the advantages that the authenticity of the data in the data sharing process is ensured; digitalization, automation and standardization of a data sharing process are realized; constructing an on-chain identity system; the access and data uploading of the cross-border main body mechanism are facilitated, and the cross-border interaction of the data is facilitated; information errors are avoided, and execution efficiency and transparency of data sharing are improved.

The invention discloses a detection laboratory total factor digital twinning model construction method and an intelligent operation and maintenance system, and relates to the field of digital twinning, and a total factor digital twinning model comprises a detection laboratory physical object model, a detection laboratory virtual model, a total factor data model, a data interaction model, a learning decision model and an operation and maintenance management model. Real-time mapping is kept between the physical object model and the virtual model of the detection laboratory; the total element data model is used for collecting, inputting, processing and updating multi-source heterogeneous data in the digital twinborn model of the detection laboratory; the data interaction model carries out fusion transmission on real-time data among the models; and meanwhile, the learning decision-making model performs autonomous decision making and diagnosis, and functions are integrated and displayed through the operation and maintenance management model, so that the intelligent operation and maintenance level of the detection laboratory is further improved. The whole detection process of the detection laboratory is digitalized, the communication cost of the detection test process is saved, the manpower and time cost is saved, and the detection efficiency is improved.

The invention relates to the technical field of water conservancy projects, in particular to a water conservancy project digital management method based on a BIM model. The method comprises the following steps: acquiring real-time monitoring data; carrying out high-precision topographic data acquisition on a water conservancy project area, and carrying out data preprocessing to obtain preprocessed data; according to the preprocessed data, hydrological information integration modeling is carried out by utilizing a BIM platform, and a hydrological information integration model is obtained; performing multi-dimensional terrain dynamic updating on the hydrological information integration model by using the real-time monitoring data to obtain digital terrain data; performing flood simulation calculation based on the digital topographic data to obtain a flood simulation calculation result; and performing flood scene simulation according to the flood simulation calculation result to obtain flood simulation data. Through real-time monitoring, accurate prediction and timely early warning of the risk of the water conservancy project, a more effective technical means is provided for flood control and disaster reduction and safety management of the water conservancy project.

The invention discloses an existing building outer wall internal and external heat insulation energy consumption optimization method based on a building model, and belongs to the technical field of building design. In order to solve the problems of insufficient data comprehensiveness and incomplete thermal insulation scheme evaluation, the thermal insulation performance of a building can be evaluated more accurately by checking an outer wall structure on site, recording material types, damage degrees and the current situation of a thermal insulation layer and combining scientific methods such as thermal resistance testing and heat transfer coefficient measurement; digitization and visualization of building information are achieved through the BIM technology, historical energy consumption data are collected from multiple data sources and systematic arrangement and classification are carried out, the readability of the data is improved, rapid import and analysis can be conveniently carried out in energy consumption simulation software, and therefore the energy consumption condition of a building is reflected more accurately; according to the method, comprehensive coverage of multiple possibilities is achieved, the influence of different heat preservation schemes on energy consumption can be evaluated more comprehensively, differentiated design is conducted on the thickness of the heat preservation layer based on the energy consumption simulation result, and the heat preservation performance of a building is effectively improved.

The utility model discloses a moxibustion fumigation traditional Chinese medicine external treatment device which comprises a display control bin, a radio frequency induction bin and an independently-installed chip medicine cake box which are connected with one another. A radio frequency chip, a radio frequency coil and a temperature-resistant protective cover are installed in the radio frequency induction bin, a heat transfer through hole and a heater are arranged at the bin bottom, and an independent chip medicine cake box is installed at the lower end of the outer bottom. According to the device, information of the chip medicine cake box is read through a radio frequency chip and a coil of the radio frequency induction bin, and parameters such as optimal working time, working temperature and working wavelength of different traditional Chinese medicine external treatment medicines or non-medicine materials such as moxibustion or fumigation are matched; convenience, digitization, intelligentization, safety and standardization of moxibustion fumigation and other hundreds of traditional Chinese medicine external treatment methods can be achieved.

The invention provides a scoliosis orthopedic brace digital design method, medium and system, and belongs to the technical field of scoliosis orthopedic brace design, and the scoliosis orthopedic brace digital design method comprises the following steps: firstly, extracting a contour image of each shooting angle, and compressing the contour image into a two-dimensional matrix; inputting the contour matrixes into a pre-training model to obtain a corresponding three-dimensional contour matrix; the three-dimensional matrixes are traversed, a three-dimensional theoretical matrix of each angle is obtained after rotation according to the shooting angle, and similarity calculation is carried out on the three-dimensional theoretical matrix and the corresponding three-dimensional generation matrix; and selecting the three-dimensional generation matrix with the highest similarity as a candidate, and performing correction by using a difference regression function to obtain a final three-dimensional contour image. And finally, the algorithm inputs the three-dimensional contour image into a pre-trained scoliosis orthopedic brace parameter model, and outputs a three-dimensional model marked with information such as supporting points and pressure points as a scoliosis orthopedic design scheme. The problem that existing counting depends on experience of doctors, and misoperation is prone to occurring is solved.

The invention discloses an aluminum electrolysis single anode real-time height calculation simulation model construction method, an anode fault diagnosis method and an aluminum electrolysis process optimization control method. The method comprises the following steps: S1, collecting real-time current data of each anode; s2, collecting the height, the horizontal section area, the volume density, the current efficiency data and the accumulated current flux data of the anode scrap during normal anode replacement of each anode; s3, analyzing an anode correlation influence coefficient; s4, analyzing a post-intervention coefficient; s5, analyzing the comprehensive index coefficient of the electrolytic cell; and S6, obtaining a final calculation model of the real-time height of the single anode. According to the method, the related factors of single anode consumption in the electrolytic cell are decomposed, the main influence factors of the single anode in the electrolytic cell are dynamically split, and the horizontal size error is eliminated in combination with the anode post-intervention treatment, so that the real-time consumption height of the single anode is accurately estimated, and the result digitization is realized; and high-efficiency control of the single anode of the electrolytic cell is realized and anode carbon consumption is reduced.

The invention discloses a wood structure building information classification coding and data automatic identification mapping system and method, and the method comprises the steps: 1, creating a traditional wood structure building component-level model, and building a traditional wood structure building database; 2, performing overall view projection on the traditional wood structure building component-level model, matching the model with a traditional wood structure building database, and outputting a regulation code so as to screen corresponding data; 3, picking up the split components, performing isolated view projection, performing feature fuzzy matching with the simplified data pool, screening and defining the components, and outputting identification codes; 4, the traditional wood structure building is subjected to space division and tagging, and positioning codes of the components are generated; 5, the code segments are called according to purposes to be combined, and component codes are formed; and 6, integrating component parameters to carry out attribute addition and mapping, and endowing construction codes. The invention relates to the technical field of historic building information management, and can solve the technical problems in traditional wooden structure building information management in the prior art.

The invention provides a sewing production management system and method based on the Internet of Things, electronic equipment and a medium, and the system comprises Internet of Things equipment, a first application end, a second application end and a first cloud platform. The data acquisition module is used for acquiring and storing operation data and registration information of the Internet of Things equipment, application data of the first application end and application data of the second application end; the second cloud platform is in communication connection with the first cloud platform through a system interface and is used for generating a production report based on the operation data and the registration information of the Internet of Things equipment, the application data of the first application end and the application data of the second application end; and the third application end is used for displaying the production report. The technical problems of low production efficiency and disordered management of traditional clothing enterprises are solved, production management personnel and employees can be helped to carry out production management and operation more conveniently, digitization and intelligentization of the production process are realized, and the production efficiency and the product quality are improved.

The embodiment of the invention discloses a method and system for providing commodity information and AR glasses, the method is applied to augmented reality AR glasses, the AR glasses are applied to a physical store, the main commodity category of the physical store is a costume category, and the method comprises the steps that after a costume image in the physical store is captured through the AR glasses, the main commodity category of the physical store is the costume category; displaying the enhancement information of the costume through the AR glasses; and after an operation request for trying on the target clothes initiated by a consumer user through the AR glasses is received, submitting the request to a server, so that the server provides information of the target clothes to a second client in a terminal device associated with a physical shop waiter user, sending the target clothes to a target fitting room by the waiter user; and receiving an identifier of a target fitting room provided by the server, and displaying the identifier through the AR glasses to prompt a consumer user to try on the target clothes in the target fitting room. According to the embodiment of the invention, the method can achieve the digitalization of an offline retail scene, and facilitates the improvement of the commodity conversion rate.

The invention discloses a method for realizing intelligent millimeter-level elevation measurement based on a laser technology, which comprises the following steps of: navigating to a measurement point by an intelligent navigation robot according to a measurement task, adjusting a horizontal platform to a horizontal state, and enabling a two-dimensional coordinate of an RTK (Real-Time Kinematic) module to be equal to a two-dimensional coordinate of the measurement point; the intelligent navigation robot drives the light source mounting rod to rotate through the horizontal turntable, so that the laser transmitter searches and aims at the axis of the laser receiving reference rod to project horizontal laser; the AIOT platform notifies the reference rod to move to receive the laser, records a moving distance value output by the incremental encoder and uploads the moving distance value to the AIOT platform; a laser distance measuring sensor is turned on to emit vertical laser to a measuring point, and the measured distance is output and uploaded to the AIOT platform; and the AIOT platform calculates the millimeter-level elevation of the measurement point where the intelligent navigation robot is located through an expression. According to the invention, millimeter-level elevation measurement and automation and digitization of measurement operation can be realized.

The invention discloses an elevator monitoring system based on Beidou satellite positioning, and the system comprises an elevator person trapping event recognition module which is used for judging whether a person trapping event occurs in an elevator or not; the elevator operation characteristic data acquisition module is used for acquiring elevator operation characteristic data; the elevator fault recognition module is used for constructing an elevator fault recognition model and recognizing the elevator fault type; the active alarm analysis module is used for judging whether emergency alarm is needed or not according to the elevator operation characteristic data; the automatic alarm module is used for sending rescue data of people trapped in the elevator through short message services of the rescue unit in the elevator car and the Beidou satellite navigation system; the elevator posture monitoring module is used for continuously monitoring elevator posture data and recognizing the abnormal state of the elevator posture; and the elevator fault maintenance module is used for generating a maintenance work order of the equipment and synchronously updating the maintenance execution state of the fault elevator. According to the method, the comprehensive management level of all parties on elevator equipment is improved, the elevator operation management cost is reduced, and the elevator operation economic benefits are improved.

The embodiment of the invention discloses a fire-fighting equipment supervision method and system based on Beidou and Internet of Things fusion. The method comprises the following steps: reading an RFID tag to obtain current identity information of fire fighting equipment; liquid level and temperature and humidity information is collected through a sensor; real-time images in the compartment are collected through a camera; and analyzing the data. The system has the following advantages: 1, the RFID tag, the acquisition module and the analysis module cooperate with each other, and a real-time checking system applied to various fire fighting equipment (fire fighting hoses, fire fighting water monitors, toolkits and the like) in a fire fighting carriage is provided, so that the number and types of fire fighting vehicle equipment can be checked accurately and rapidly; 2, the camera is matched with the analysis module, a fire-fighting equipment supervision scheme is provided, whether the fire-fighting equipment is not in place in time or is moved or stolen or not can be found in time, and fire-fighting management personnel can check the fire-fighting equipment in time; 3, a Beidou positioning module is used, so that fire-fighting management personnel can clearly master the dynamic position of the vehicle when the vehicle is taken out of police;

The invention relates to an intelligent identification and corrosion grade evaluation method and evaluation equipment for a steel structural building steel member, and the evaluation method comprises the steps: collecting an original image of the steel member in a target building construction stage, carrying out the marking and distinguishing of the original image, and constructing an original image data set of the target building steel member; the method comprises the following steps: performing an indoor accelerated corrosion experiment on experimental samples of the same material of a target building steel member, collecting sample corrosion images, training a sample corrosion classification model through image recognition and a deep learning convolutional neural network, and constructing a sample corrosion image database; afterwards, collecting a target building steel member corrosion image in a target building maintenance stage, comparing the steel member corrosion image with the original image data set, identifying the type of the steel member in the steel member corrosion image and the position of the steel member in the target building, and comparing the steel member corrosion image with the sample corrosion image database; and determining the corrosion grade of the steel member in the steel member corrosion image.

The invention discloses an additive spinning composite forming device and method for a thin-wall rotary body part. The additive spinning composite forming device comprises a lifting platform, a rotating platform is installed on the lifting platform, a claw-shaped clamp is connected to the rotating platform, an additive base body is clamped by the claw-shaped clamp, and the thin-wall rotary body part is arranged on the additive base body; the thin-wall rotary body part is located between the two spinning mechanisms and the laser cladding head, the spinning mechanisms and the laser cladding head are connected to the clamping mechanism, the clamping mechanism is connected to one end of the mechanical arm, and the other end of the mechanical arm is connected to the mechanical arm base body; additive manufacturing of the thin-wall rotary body part and spinning of the additive deposition layer are synchronously achieved, material grain refinement and rearrangement are promoted through spinning of the deposition layer, the microstructure is improved, and the part performance is improved; and meanwhile, pores possibly generated in the additive manufacturing process are effectively eliminated through spinning, the compactness of the part is improved, and therefore the microstructure and the mechanical property of the thin-wall rotary body part manufactured through additive manufacturing are comprehensively improved.

The present invention provides a digital twin system for attitude and orbit control based on a spacecraft cluster and a construction method thereof. The digital twin system for attitude and orbit control based on a spacecraft cluster includes several digital simulation subsystems, and the digital simulation subsystems include a source code dynamic link library of the spacecraft cluster, an attitude and orbit dynamics module, a telemetry and remote control interface, and a fault setting interface. The source code dynamic link library of the spacecraft cluster is connected to the attitude and orbit dynamics module, the telemetry and remote control interface is used to implement the telemetry and remote control function, and the fault setting interface is used to implement fault setting. The technical solution of this application simplifies the testing process of attitude and orbit control software products, shortens the development cycle; saves development costs; provides a reliable environment; and can adapt to the continuous increase in the scale of spacecraft.

The invention discloses an optical glass chemical strengthening process prediction method, system, equipment and medium, and relates to the technical field of process simulation, and the method comprises the following steps: obtaining original experiment data of a target optical glass drop; calculating an estimated refractive index of the tempered glass according to the molten salt ion concentration ratio, and adding the estimated refractive index into the process parameter set # imgabs0 # to obtain a current process parameter set # imgabs1 #; based on a decision tree algorithm, performing regression modeling according to the current process parameter set # imgabs2 # and the performance parameter set # imgabs3 # to obtain an initial decision tree model; data in the current process parameter set # imgabs4 # and data in the performance parameter set # imgabs5 # are preprocessed, and model training data are obtained; training and testing the initial decision tree model according to the model training data to obtain a process performance prediction model; and calling the process performance prediction model. The method has the effect of reducing the design cost of the glass chemical strengthening process.

The invention relates to the technical field of construction project management, discloses a construction enterprise digital project management platform, and aims to solve the problems of data islands, low information transmission efficiency, insufficient decision support and the like in a traditional project management mode. The platform is composed of a user interface layer, a business logic layer, an infrastructure layer and a data access layer, has a comprehensive project management function, and comprises a project management unit, a material purchasing unit, a construction management unit, a quality control unit and the like. The core function of the system is that the fusion analysis module can perform standardization processing on data of each business unit, realize centralized storage and management of the data, form a unified data view, perform deep data mining and analysis by using a machine learning algorithm, construct a prediction model, a classification model and a clustering model, and perform data classification and clustering. And comprehensive data support is provided for enterprise decision making. The platform effectively improves the project management efficiency and quality of construction enterprises, and promotes the digital transformation of the construction enterprises.

The invention discloses a Fraunhofer multi-slit diffraction phenomenon identification and measurement device and an identification and measurement method, particularly relates to the technical field of optical measurement, and solves the problems that in the prior art, a traditional light intensity distribution measurement method depends on manual recording of data points and analysis and drawing, the required light intensity value is obtained from the reading of a digital galvanometer, and the measurement accuracy is low. And the value jump is fast and inaccurate. According to the technical scheme, a real-time diffraction pattern is automatically converted and processed into relative light intensity distribution, data selection is automatically carried out, and relevant parameters such as the single-slit width and the multi-slit grating constant are measured and calculated and displayed through a multi-mode experiment interaction interface; according to the invention, the precision is improved, the error is reduced, the operation is simple and convenient, the digitization, visualization and modernization of the traditional single-slit diffraction experiment are realized, and the multi-slit diffraction phenomenon can be further explored.

The invention discloses an oil-rich RAP fine mortar indoor simulation preparation device, and relates to the technical field of asphalt regeneration, the oil-rich RAP fine mortar indoor simulation preparation device comprises an asphalt regeneration tank, the top of the asphalt regeneration tank is provided with a feed inlet, and the asphalt regeneration tank is filled with a new asphalt material and an old asphalt material; the stirring mechanism is arranged in the asphalt regeneration tank; the ultrasonic output end of the ultrasonic dispersion mechanism is arranged in the asphalt regeneration tank, and the ultrasonic output end and the stirring mechanism are arranged at an interval; the heating mechanism is arranged on the inner surface of the asphalt regeneration tank; and the temperature control mechanism is electrically connected with the heating mechanism and can adjust the temperature in the asphalt regeneration tank. The blending degree of the aged asphalt on the surface of the RAP fine material and the new asphalt material is improved by heating and forced stirring, and meanwhile, the blending effect of the new asphalt and the old asphalt is enhanced and accelerated through the vibration and cavitation action of the ultrasonic dispersion mechanism, so that 100% rapid fusion of the new asphalt and the old asphalt can be realized, and efficient recycling of the RAP fine material is realized.

The invention provides a multi-station integrated numerical control rotary vertical reaming and honing machine which comprises a base, a stand column fixedly installed on the base, a shell fixedly installed on the outer sides of the base and the stand column, a front door, a side door and a PLC control cabinet arranged on the shell, the front door and the side door are hinged to the shell, and a fixed table is fixedly installed on the inner side of the base. According to the multi-station integrated numerical control rotary vertical reaming and honing machine, each main shaft is independently provided with a second servo motor, so that each main shaft can be independently driven under the driving of the corresponding second servo motor, and corresponding reaming tools and honing tools can be installed in each floating chuck according to the machining sequence; by the adoption of the structure, the numerical control rotary vertical reaming and honing machine can achieve reaming and honing of the parts on a single machine tool, the machine tool is compact in structure, simultaneous machining of multiple parts and multiple shafts can be achieved, the working procedures are concentrated, the machining efficiency is high, and the occupied area is small.

The invention relates to the technical field of wetland ecological environment management, and discloses an ecological environment intelligent patrol monitoring system and method based on machine vision. The system comprises a wetland ecological environment air characteristic information display module, a tourist target wetland ecological vacation position positioning module and a tourist target wetland ecological vacation position route planning and navigation module. Coordinate information of a tourist target wetland ecological monitoring point is accurately collected through a position sensor, and coordinate information of a tourist target wetland ecological vacation optimal position in a wetland ecological vacation scenic area is intelligently analyzed in combination with a geographic information system. According to the method, the coordinate information of the wetland ecological vacation position of the tourist target is scientifically and accurately positioned based on the environment air characteristic parameters of the tourist target, and the functional diversity of environment management of the wetland ecological vacation scenic spot is improved.

The invention provides an efficient underground accurate delineation method for a steep dip thin and fine quartz vein type ore body, and belongs to the technical field of mine underground prospecting, and the scheme comprises the following steps: firstly, utilizing capital construction engineering and development engineering, preliminarily exposing the ore body, constructing a database in three-dimensional mining software, delineating the ore body at a time, and establishing an ore body three-dimensional model; different laser reflection spectral characteristics of targets with different colors are utilized, three-dimensional laser is used for scanning an ore body form and a roadway form, and an ore body model is updated by combining digital geological recording, mechanical sampling and secondary ore body delineating. Three-dimensional laser scanning, digital geological logging and mechanical sampling are fused, on the premise that expenditure and time are limited, the safety of underground operation and digitization of prospecting engineering achievements are improved, the ore body form and the spatial position are mastered more accurately, mining design is guided and optimized, precise implementation of mining is guaranteed, the mining engineering amount is reduced, digital energy saving is achieved, and the working efficiency is improved. The method belongs to a key technical new method for green low-carbon transformation industry development.