16531results about "Spraying apparatus" patented technology

The invention discloses a dynamic path planning and self-adaptive control method and system for a coating robot, and relates to the technical field of coating automation. The method comprises the following steps: acquiring point cloud data through three-dimensional scanning equipment, constructing a dynamically updated workpiece curved surface model, and extracting curvature, edge and high-curvature mutation region features; a spraying path is generated based on a reinforcement learning algorithm, and path density, speed and coating supply are dynamically adjusted for a high-curvature area; distance, force feedback and environment parameters are fused, and mechanical arm and spray gun parameters are dynamically adjusted; dividing operation sub-areas and distributing tasks based on robot capability characteristics to realize multi-machine cooperation; and fault redundancy control and multispectral imaging are added to optimize the coating quality. The system comprises a sensing module, a decision-making module, an execution module, a redundancy control module and a communication module. According to the invention, the uniformity of the complex curved surface coating, the multi-machine cooperation efficiency and the system anti-interference capability are improved, and the method is suitable for spraying large workpieces such as aircraft fuselages and high-speed rail vehicle bodies.

The invention discloses an unmanned aerial vehicle-mechanical arm system cooperative control method for precise spraying. According to the method, through a depth camera and a point cloud reconstruction algorithm, three-dimensional modeling of a target surface and semantic recognition of a spraying area are achieved, and a spraying path and spraying posture data are generated. Based on spraying task requirements, a spraying film thickness experience estimation model is established, and path point-level spraying parameters are obtained. Load mass change, mechanical arm mass center change and spraying reaction force of each path point are calculated, and a coupling dynamic model is constructed in combination with the system state. And dynamic compensation control input is generated by using an adaptive sliding mode control algorithm. After spraying is completed, the actual spraying effect is collected through image and point cloud detection, color, film thickness and texture features are extracted and compared with task requirements, error feedback is generated, and control parameters are adjusted online. According to the method, the problems of dynamic change and error compensation in the spraying process are effectively solved, and the method is suitable for a high-precision spraying task in a complex environment.

The invention relates to the technical field of spraying process control, and discloses a spraying process self-adaptive adjustment method based on temperature measurement. The method comprises the steps that target coating parameters and base material physical property data are obtained, and initial spraying control parameters are generated through a first intelligent calculation model in combination with historical process data and real-time environment monitoring data; when spraying is executed, heat distribution data of a spraying area are collected in real time through a temperature sensing device, and according to the difference between the heat distribution data and a preset target temperature interval, technological parameters are dynamically corrected through a first self-adaptive regulation and control algorithm; meanwhile, a machine vision system is used for capturing actual coating morphological characteristics, and after the actual coating morphological characteristics are compared with target parameters, excitation parameters are adjusted in a partitioned mode through a second self-adaptive regulation and control algorithm so as to optimize uniformity; and collecting whole-process data, comprehensively evaluating the whole-process data through the second intelligent calculation model to generate a process optimization instruction, and updating the first intelligent calculation model and the first self-adaptive regulation and control algorithm parameters according to the process optimization instruction.

The invention discloses a spraying robot trajectory planning method based on depth camera scanning. The method comprises the steps that wall surface boundary polygon data, an initial spraying stroke set and a spraying dosage model parameter set are obtained; calculating a predicted coating thickness field, and performing difference calculation on the predicted coating thickness field and a preset target thickness to generate a thickness error field; performing connected domain clustering on the thickness error field to generate topological thickness error regions, and determining region type labels for the topological thickness error regions one by one; calling a matched editing operator from a discrete stroke editing operator library, performing geometric constraint verification, and generating a candidate editing scheme; and evaluating the candidate editing schemes based on a preset comprehensive scoring function, updating the initial spraying stroke set by using the scheme with the optimal score, obtaining an optimized spraying stroke set, and converting the optimized spraying stroke set into a robot control instruction. According to the method, the problem that global coverage and local thickness uniformity cannot be considered in traditional geometric planning is solved, and high-quality full-automatic spraying is achieved.

The invention provides an intelligent spraying composite robot system based on a large language model and a method thereof, and relates to the field of intelligent robots and automatic spraying, the intelligent spraying composite robot system comprises a chassis, a mechanical arm, a spraying gun, a camera, an instruction receiver and a controller; a mechanical arm and an instruction receiver are carried on the chassis; spray guns and cameras are mounted on the mechanical arms; the instruction receiver receives a natural language voice instruction, analyzes semantics through a large language model, and generates an action instruction; the controller comprises a motion control module, a three-dimensional point cloud data acquisition module, a feature point extraction module, a track planning module and a spraying operation module; the method improves the man-machine interaction, reduces the use threshold of the robot, is easy to operate, gives play to the spraying advantages of the composite robot, does not need to program in mainstream offline simulation software, can generate a spraying path with adjustable and controllable parameters only by collecting the point cloud template of the workpiece and selecting the feature points, and can be widely applied to furniture, furniture and the like. And spraying operation in the fields of automobiles, aerospace and the like.

The invention discloses an enamel product and an intelligent spraying system thereof, and belongs to the technical field of enamel product spraying, and the enamel product comprises a high-precision visual guidance module, an environment intelligent control module and an auxiliary function module, the intelligent environment control module is used for monitoring and dynamically regulating and controlling parameters such as temperature and humidity and dust concentration of a spraying environment in real time, ensuring stable coating quality and reducing energy consumption, and the auxiliary function module is used for realizing accurate spraying track planning and quality control through process connection, safety guarantee and data collaboration. And high efficiency and reliability of the spraying process are guaranteed. On the basis that spraying of the enamel product is achieved, the quality of the whole process is improved, and comprehensive benefits can be optimized.

The invention relates to an all-dimensional automatic spraying production line, which is characterized in that a spray head assembly can perform multi-degree-of-freedom movement in different planes through rotation driving of a cross beam around a central fixed shaft and combination of a vertical and horizontal state switching function of a swinging cross rod; through the swing hinging design of the spray head assembly and the transmission assembly of the sliding rod, the angle of the spray head can be dynamically adjusted in the spraying process, a composite motion trail is formed, dead-corner-free covering on the surface of the workpiece is achieved, and the spraying uniformity is remarkably improved; due to the linkage design of the sliding rod and the transmission assembly, when the cross beam rotates, the reciprocating driving assembly can synchronously drive the sliding rod to slide along the swing cross rod, and the spray head assembly is forced to swing back and forth through the transmission assembly; due to the dynamic adjusting mechanism, the nozzle can simulate manual spraying, and the spraying effect is further improved; in addition, due to the design of mechanical linkage, response delay caused by traditional motor or pneumatic independent control can be reduced, and it is ensured that actions of all the nozzles are highly synchronous.

The invention provides a ship surface spraying device. The ship surface spraying device comprises a lifting driving source, a lifting transmission mechanism, a movable walking chassis assembly, a plurality of equipment rooms, a tower, a control tower capable of being installed on the tower in an up-down moving mode, a telescopic arm capable of stretching out and drawing back horizontally and spraying equipment. The walking chassis assembly comprises a walking chassis and a pair of driving wheels installed on the walking chassis in the walking direction perpendicular to the walking chassis, each driving wheel comprises a walking driving source installed on the walking chassis and a rotatable driving wheel body, and the walking driving sources are in transmission connection with the driving wheel bodies. The walking driving sources of the two driving wheels are mutually independent; the multiple equipment rooms, the lifting driving source and the tower are all fixedly installed on the top of the walking chassis, the lifting driving source is in transmission connection with the control tower through the lifting transmission mechanism, the inner end of the telescopic arm is installed on the control tower, and the spraying equipment is installed at the outer end of the telescopic arm. According to the spraying equipment, automatic spraying operation on the outer surface of the ship is achieved, and the spraying efficiency is high.

The invention relates to the technical field of cold storage spraying, and discloses a cold storage spraying polyurethane real-time monitoring system based on temperature and humidity feedback, and the system comprises an environment collection module, a state analysis module, a parameter regulation and control module, a dynamic fusion module, a mode matching module and a feedback execution module. The environment acquisition module acquires temperature and humidity data and sets a monitoring interval; the state analysis module divides coating detection nodes and generates feature vectors; the parameter regulation and control module is used for separating influence factors, establishing control rules and acquiring process parameters; the dynamic fusion module identifies the equipment state, performs dynamic compensation and calculates the parameter difference degree; the mode matching module deduces an optimal curing threshold value and generates a deviation sequence; and the feedback execution module analyzes the deviation sequence and generates an adjustment instruction. The system realizes real-time monitoring and accurate regulation and control of the process of spraying polyurethane on the refrigeration house, improves the quality stability of the coating and the construction efficiency, is suitable for refrigeration house construction and maintenance scenes, and has the advantages of high environmental adaptability, accurate parameter regulation and control and the like.

The invention discloses a carbon fiber composite material surface modification spraying system and a control method thereof. The system comprises a multi-axis robot, a plasma spray gun, a contact angle measuring probe, a 3D line laser scanner, a hyperspectral imager, an environment sensor and a controller. According to the method, the plasma power and the robot speed are adjusted in real time through contact angle measurement and plasma treatment feedback control, so that the CFRP surface can accurately reach a target value, and the coating adhesive force is improved; 3D line laser scanning and hyperspectral imaging are combined, and the posture, the distance, the wet film thickness and the component uniformity of the spray gun are monitored in real time; based on a prediction model fusing a physical model and a neural network, a self-adaptive fuzzy PID control algorithm is adopted, and the coating flow and the track posture of a spray gun are accurately regulated and controlled in real time. The problems of weak coating binding force, uneven thickness, orange peel, sagging and serious coating waste in traditional spraying are effectively solved, and self-adaptive, high-quality and green spraying of workpieces with complex curved surfaces is achieved.

The embodiment of the invention relates to the technical field of computers, and particularly discloses a ceramic spraying intelligent regulation and control method and system based on parameter self-adaption, and the method achieves the global optimization control of a ceramic spraying assembly line process through integrating the real-time collection and dynamic regulation and control mechanism of multi-dimensional equipment parameters. According to the embodiment of the invention, the limitation of independent control of traditional single equipment is broken through, an intelligent spraying control system with an environment self-adaptive characteristic is constructed through parameter collaborative optimization of the equipment group and bidirectional data interaction of the MES system, and comprehensive control processing with multi-parameter collaborative optimization and system-level intelligent decision-making capability is realized.

The invention discloses an edge spraying compensation control method based on intelligent visual feedback. The method comprises the following steps: performing space scanning on a to-be-sprayed workpiece to obtain spraying image data, and establishing a space corresponding relation between a spray gun motion coordinate and a workpiece surface coordinate; registering the real-time spraying image by using the corresponding relation, identifying a geometric boundary line, brightness gradient change and a coating adhesion area of the edge of the workpiece, and generating edge feature data; according to the difference between the edge feature data and the target spraying image, the spraying coverage deviation and the boundary overlapping error are calculated, the coating thickness change trend, the optical density change rate and the boundary direction offset are extracted, and the spraying gun posture adjustment amount, the spraying distance correction amount, the spraying pressure correction amount and the path speed correction amount are generated; the angle, the spraying distance, the pressure and the movement speed of the spray gun are dynamically adjusted according to the parameters; according to the method, real-time visual feedback and self-adaptive compensation control in the spraying process are achieved, and the uniformity and consistency of the coating on the edge of the workpiece are effectively improved.

The invention discloses a tobacco field soil acidification early warning treatment system based on Internet of Things, and relates to the technical field of intelligent agriculture Internet of Things, and the system comprises an Internet of Things sensor network which is deployed in a tobacco field area and is used for collecting soil pH value, temperature, humidity and calcium and magnesium ion concentration data in real time. According to the tobacco field soil acidification early warning treatment system based on the Internet of Things, the tobacco growth stage sensitivity coefficient, the regional acidification historical trend and real-time monitoring data are dynamically fused, a self-adaptive early warning threshold value is generated through a nonlinear product algorithm, and the problem of early warning lag or false alarm caused by a fixed threshold value is solved; according to the method, a dual verification mechanism of trend deviation test and virtual governance simulation is combined, abnormal fluctuation interference is screened out through a rigid rule, strategy feasibility is pre-judged, it is ensured that a governance scheme has both accuracy and robustness, and the problems that governance resources are mismatched and the effect is substandard are solved.

The invention discloses a three-dimensional space self-adaptive unmanned aerial vehicle accurate spraying method and system and an unmanned aerial vehicle. The method relates to the technical field of unmanned aerial vehicle spraying, and comprises the following steps: scanning a spraying area on the bottom surface of a viaduct through an unmanned aerial vehicle to obtain unmanned aerial vehicle spraying quality data, and analyzing, optimizing and adjusting the unmanned aerial vehicle spraying quality data. The method comprises the following steps: scanning a spraying area on the bottom surface of a viaduct through an unmanned aerial vehicle to obtain three-dimensional point cloud data, adaptively generating a flight path and a spraying track of the unmanned aerial vehicle based on the data, flying according to a planned path and spraying, collecting spraying quality data through a sensor, analyzing the spraying quality data, and determining the spraying quality of the viaduct. The dynamic liquid level monitoring error quantized value and the unmanned aerial vehicle precise spraying method stability quantized value are obtained and analyzed with threshold values in a database, the unmanned aerial vehicle precise spraying method is optimized and adjusted, the stability of the unmanned aerial vehicle precise spraying method is improved, and the problem that in the prior art, an unmanned aerial vehicle precise spraying method is insufficient in stability is solved.

The invention relates to the technical field of automatic spraying, and particularly discloses a spraying system based on multi-modal vision and artificial intelligence self-correction, comprising a multi-modal vision acquisition module for acquiring color image information, depth information and infrared feature information; the control module is used for generating a spraying sensing model according to the information of the multi-modal visual acquisition module; the control module carries out spraying area identification, track planning and spraying parameter decision making based on the spraying sensing model; the spraying execution module is used for spraying; and the feedback self-correction module iterates the spraying parameter decision in the control module based on a reinforcement learning algorithm according to the difference between the actual coating state information and the expected state. The control method based on multi-modal vision and artificial intelligence self-correction is applied to a spraying system based on multi-modal vision and artificial intelligence self-correction. The scheme is used for solving the problems that the spraying quality of complex workpieces is not high due to the single sensing dimension of an existing spraying system, and the production flexibility is poor due to the rigid control mode.

The invention provides an intelligent spraying robot multi-task collaborative operation method and system. The method comprises the steps that a discrete sliding mode controller considering a sampling period is constructed based on a discrete state equation; introducing an auxiliary state variable to design an adaptive barrier function; establishing a T product dynamic system control model to realize online parameter identification; and a hierarchical control architecture is adopted to realize multi-robot cooperative control. According to the scheme, the problems that in the prior art, discrete implementation precision is reduced, controller parameters are difficult to adjust in a self-adaptive mode, and an effective data driving control strategy is lacked are solved, and efficient collaborative operation of the multiple spraying robots is achieved.

The invention provides a physical response data analysis method and system based on aircraft catalytic operation, and the method comprises the steps: obtaining three-dimensional cloud particle distribution data sets of a catalytic operation region before and after the catalytic operation through airborne cloud particle detection equipment, the three-dimensional cloud particle distribution data set comprises particle characteristic data before catalysis and particle characteristic data after catalysis; performing morphological feature extraction processing on the pre-catalysis particle feature data and the post-catalysis particle feature data by adopting a cloud particle AI image shape recognition algorithm to generate a pre-catalysis particle morphological difference feature set and a post-catalysis particle morphological difference feature set; constructing a dynamic physical response evaluation model, inputting the particle morphological difference feature set into the dynamic physical response evaluation model to execute multi-dimensional response correlation analysis, and generating a dynamic response feature set of the catalytic operation; and generating a catalytic strategy optimization instruction set according to the dynamic response feature set, and transmitting the catalytic strategy optimization instruction set to the airborne catalytic control system for catalytic parameter adjustment operation.

According to the intelligent imaging generation system and method, parameters of a spraying mechanical arm and imaging equipment are adjusted in a linkage mode in real time through a dynamic parameter adjusting module, and closed-loop control over the spraying quality is achieved in combination with a defect prediction and optimization decision module and a multi-modal process knowledge base. A high-resolution visual sensor, a capacitive thickness detector and a temperature and humidity sensor are integrated in the system, multi-source data are fused through a Kalman filtering algorithm, and the mechanical arm speed, the nozzle pressure and the imaging gain coefficient are dynamically adjusted. The defect prediction module simulates a coating defect form based on a physical constraint generative adversarial network and generates a process optimization instruction set through reinforcement learning. The multi-modal process knowledge base stores a correlation model of material characteristics, environmental data and defect modes, and supports incremental learning and historical data attenuation updating. And through dynamic parameter collaborative optimization, defect prediction preposition and multi-modal data fusion, the spraying quality detection efficiency and the coating consistency are improved, and the rework rate is reduced.

The invention discloses a flattened bamboo differentiation online spraying system and method based on multi-modal information. The system comprises a conveying module, an image collecting module, a surface roughness detecting module, a data fusion processing module and a spraying module. Wherein the image acquisition module consists of a color camera and a depth camera, and is used for identifying flattened bamboo wood types (bamboo green or tabasheer) and structural characteristics (bamboo joints or internodes); the surface roughness module collects Ra value information by using a contact probe; and the data fusion processing module performs conjoint analysis on the multi-modal data, and generates spraying control information containing path instructions and coating parameters according to the bamboo structure and the surface state. For an area with a complex structure or high adhesion risk, traditional multi-channel spraying is replaced by increasing the primer coating amount at a time, and accurate and efficient differential coating control is achieved. The method is accurate in recognition, efficient in spraying, accurate in control and suitable for intelligent bamboo furniture and decorative plate surface treatment scenes.

The invention discloses a mobile intelligent control spraying and dust-settling system, and particularly relates to the technical field of compensation or utilization of an external environment of a spraying and dust-settling spraying vehicle under a wind field disturbance condition, which comprises a plurality of wind speed and wind direction sensing nodes mounted on a lifting rod in the advancing process of the spraying and dust-settling spraying vehicle, acquiring a plurality of local wind field parameters in different heights and directions, and constructing a wind speed gradient data set based on the local wind field parameters; and performing normalization and disturbance feature extraction processing on the wind speed gradient data set to generate a wind disturbance time sequence and a spatial disturbance distribution map. By constructing a time-space coupling control mechanism fusing wind disturbance feature extraction, trend prediction and path calibration, advanced sensing of non-steady-state wind field disturbance and dynamic correction of spray response parameters are achieved, and therefore the problems of sensing-control coupling lag and spray offset errors are solved.

The invention relates to the technical field of steel pipe detection, and discloses a surface coating process detection method and device for steel pipe production, and the method comprises the steps: obtaining surface topography data and temperature distribution data; performing roughness analysis according to the surface topography data to obtain roughness parameters; performing wetting simulation according to the roughness parameter and a preset initial condition to obtain permeation data and a stress distribution result; parameter optimization is carried out according to the permeation data and the stress distribution result, the spraying pressure adjustment amount and the spraying angle adjustment amount are obtained through calculation, and then optimal spraying parameters are obtained; inputting the temperature distribution data into a thermal stress distribution model to obtain thermal stress distribution data, and performing process optimization according to the thermal stress distribution data to obtain optimal curing parameters; and processing the coating on the surface of the steel pipe according to the optimal curing parameters and the optimal spraying parameters. The method has the following effect that the detection precision of the surface coating of the steel pipe can be improved.

The invention relates to the technical field of spraying, in particular to a spraying device for combined wardrobe production and a spraying method thereof.The spraying device comprises a spraying mechanism, an adjusting mechanism and a turbulent flow mechanism, the spraying mechanism comprises a spraying room, the upper end of the spraying room is fixedly connected with a conveying belt, and lifting hooks are evenly distributed at the lower end of the conveying belt; the lower ends of the lifting hooks are connected with cabinet body hole plates in a hanging mode, movable bases are arranged on the front side and the rear side of the spraying room, driving bases are fixedly connected to the two ends of the sides, close to the cabinet body hole plates, of the upper ends of the movable bases, and the ends, close to the cabinet body hole plates, of the driving bases and the driving ends are fixedly connected with connecting frames. According to the spraying device, spraying can be conducted in the S shape through the spraying head, the surface of a workpiece is more comprehensively and evenly covered with paint particles, it is guaranteed that the vertical edge of a hole of a cabinet hole plate is evenly sprayed, the spraying head swings up and down in the reciprocating movement process, and then the transverse edge of the hole of the cabinet hole plate is evenly sprayed.

The invention discloses a building demolition dust intelligent suppression method and system, and relates to the field of building demolition dust suppression, and the method comprises the steps: obtaining the wind field data of a building demolition area and the spatial position information of a structure, and obtaining the arrangement parameters of each nozzle unit in a spraying system; constructing a wind barrier interference area model in the target area according to the spatial position information and the wind field data; calculating the spraying range of each nozzle unit according to the arrangement parameters; performing space superposition on the spraying range and the wind barrier interference area model, calculating a distribution prediction value of spraying particles generated by each nozzle unit in a three-dimensional space, and generating a space unit matrix of an operation area; traversing the space unit matrix to judge the particle distribution uniformity; maintaining or adjusting nozzle unit arrangement parameters according to a judgment result; dynamic reconfiguration of spraying resources in a multi-nozzle system is achieved, and the problem that the dust suppression efficiency is low due to coexistence of over-spraying and under-spraying is solved.

The invention relates to the field of atomization devices, in particular to an atomization device and humidification equipment comprising the atomization device.The atomization device comprises a surface cover, a mounting base, a bottom cover and an atomization module, the mounting base is provided with at least one hollow liquid guide column, and a liquid guide outlet communicated with the hollow liquid guide column is formed in the position, corresponding to the top of the hollow liquid guide column, of the surface of the mounting base; a liquid guide inlet is formed in the bottom and / or the side wall of the hollow liquid guide column; the surface cover is provided with a spray nozzle corresponding to the liquid guide outlet; the mounting seat is detachably arranged in the inner cavity of the surface cover; the atomizing module is arranged on the mounting seat and is positioned between the atomizing nozzle and the liquid guide outlet; a liquid storage cavity is formed in the bottom cover, a liquid inlet and a liquid outlet which are communicated with the liquid storage cavity are formed in the bottom cover, the surface cover and the bottom cover are detachably connected, the hollow liquid guide column extends into the liquid storage cavity, and the atomization efficiency is improved.

The invention relates to the technical field of intelligent environmental protection, in particular to an unmanned aerial vehicle urban atmospheric pollution monitoring and preventing system based on radar and AI cooperation, which comprises a laser radar scanning module, an edge computing gateway, a cloud server, a small unmanned aerial vehicle inspection module, an unmanned aerial vehicle spraying module and a fog gun vehicle module, the laser radar scanning module scans and generates point cloud data in real time, and pollution information is obtained by combining positioning and aerosol inversion; the edge computing gateway uses a DBSCAN clustering algorithm and an improved YOLOv8 model to determine pollution hot spot coordinates, grades and pollution source types; the cloud server dynamically dispatches all the modules in sequence, an improved ant colony algorithm is adopted to plan a route, and real-time obstacle avoidance and accurate spraying are achieved; the small unmanned aerial vehicle inspection module obtains an image of a polluted area, the unmanned aerial vehicle spraying module carries out precise spraying treatment, and the fog gun vehicle module carries out dust suppressant spraying on a dust raising source. The defects of a traditional atmospheric pollution monitoring and treatment means are overcome, and accurate monitoring and efficient treatment are achieved.

The utility model discloses a road crack patrol unmanned aerial vehicle capable of spraying marks, and relates to the technical field of unmanned aerial vehicles. The utility model provides a road crack inspection unmanned aerial vehicle capable of spraying marks, which comprises an unmanned aerial vehicle frame, four rotating rotors which are distributed at equal intervals are rotatably connected to the top end of the unmanned aerial vehicle frame, undercarriages which are transversely symmetrical are fixedly connected to the bottom end of the unmanned aerial vehicle frame, and the road crack inspection unmanned aerial vehicle further comprises a mounting frame which is fixedly connected to the bottom end of the unmanned aerial vehicle frame. The bottom end of the mounting frame is rotatably connected with a spraying cylinder, the bottom end of the unmanned aerial vehicle frame is fixedly connected with a storage cylinder, the storage cylinder communicates with the spraying cylinder through a hose, the bottom end of the mounting frame is fixedly connected with a driving motor, and an output shaft of the driving motor is connected with the spraying cylinder. Rotor wings are rotated to drive the device to fly to inspect cracks on a road, when the cracks are detected, the spraying barrel rotates downwards to adjust the angle, then paint is sprayed to the cracks for marking, and accurate guidance is provided for follow-up maintenance work.

The invention relates to the technical field of spraying control, in particular to a control system of an intelligent robot for spraying automobile clothing and a control method and application of the control system, the control method and the application are applied to the intelligent robot, and the intelligent robot comprises a robot body, a scanning assembly and a spraying assembly; the control system comprises a scanning analysis unit which is used for controlling the scanning assembly to carry out omnibearing scanning and analysis on a target vehicle to obtain vehicle three-dimensional shape parameters, vehicle model information and damaged area characteristics; and the spraying planning unit is used for calling a preset vehicle type spraying template according to the vehicle three-dimensional shape parameters and the vehicle type information to determine an initial spraying path. The deviation in the spraying process is monitored in real time and optimized and adjusted, the situation of uneven thickness or incomplete coverage generated in the spraying process can be effectively avoided, and it is ensured that the spraying quality reaches the expected standard.

The invention relates to the technical field of planting, in particular to drip irrigation equipment for agricultural water-saving irrigation, and aims to overcome the defects that according to drip irrigation equipment in the prior art, a drip irrigation pipe is damaged and the planting efficiency is affected due to the fact that the drip irrigation pipe is inconvenient to automatically release and wind and is inconvenient to wash. According to the scheme, the device comprises a fixing frame; the number of the moving wheels is four, and the four moving wheels are all installed at the bottom of the fixing frame; the intelligent electromagnetic valve control cabinet and the intelligent water and fertilizer all-in-one machine are fixedly mounted at the top of the fixing frame; the storage barrel is fixedly installed at the top of the fixing frame, a stirring shaft is rotatably installed at the top of the storage barrel, and a plurality of blades are fixedly installed on the stirring shaft. According to the drip irrigation device, a drip irrigation pipe can be conveniently and automatically released and wound, the drip irrigation pipe can be conveniently washed, the situation that the drip irrigation pipe is damaged is avoided, and the planting efficiency is improved.

The invention relates to the technical field of ice cream cone production, in particular to an ice cream cone surface spraying and filling production line which comprises a conveying frame, a limiting sliding plate is arranged on the conveying frame, a conveying chain is arranged on the inner side of the limiting sliding plate, and a plurality of clamping assemblies used for clamping ice cream cones are arranged on the conveying chain. The two ends of the clamping assembly move on the limiting sliding plates through moving pieces. The processes of discharging, spraying, filling and receiving are integrated on the same conveying chain, the segmented transfer link is eliminated, the occupied area of equipment is reduced, the problems of cone posture deviation, coating scraping and stuffing overflowing caused by transfer are solved, the postures of cones during spraying, filling and receiving are accurately controlled through a sliding column-sliding way overturning mechanism and an arc-shaped limiting plate, and the working efficiency is improved. The problems of uneven spraying and pouring overflow are solved, working procedure intervals are reduced by synchronously completing double-face spraying, graded discharging and continuous material receiving, damage to the cone is avoided through multi-contact-point clamping, and the product percent of pass and the production takt are remarkably improved.

This invention discloses a dust suppression machine for building demolition, belonging to the technical field of building demolition. It includes a water storage base with a water pump inside, and a water supply pipe connected to one end of a dust suppression cylinder, with a motor installed inside the other end of the dust suppression cylinder. It also includes a first annular pipe fixed to the inner wall of the dust suppression cylinder near the water supply pipe, and the first annular pipe communicating with the water supply pipe; a support frame fixed to the upper surface of the water storage base, with the dust suppression cylinder rotatably mounted on the inner side of the support frame, and an expansion mechanism located in the middle of the dust suppression cylinder. This dust suppression machine for building demolition increases the spraying range by adding nozzles to the outside of the dust suppression cylinder. Compared to traditional methods of changing the spray angle and adjusting the horizontal position, it can further expand the spraying range, adjust the spraying distance, and recover liquid dripping near the dust suppression machine, reducing water waste.