3434results about How to "Avoid wasting" patented technology

The invention relates to the technical field of multi-unmanned-aerial-vehicle cooperative operation and three-dimensional modeling, in particular to a multi-unmanned-aerial-vehicle cooperative three-dimensional rapid modeling method for a highway accident scene, and the method comprises the steps: generating a three-dimensional grid map of an accident area through the scanning of a millimeter-wave radar by a main control unmanned aerial vehicle; subareas are divided according to a load balancing strategy and are distributed to slave unmanned aerial vehicles, the slave unmanned aerial vehicles traverse grids along a snake-shaped track, laser radar point clouds and five-view-angle images are synchronously collected, data are bound through double time stamps and space coordinates, the point clouds are preprocessed through edge computing nodes, and the point clouds are stored in a database; the master control unmanned aerial vehicle evaluates quality based on density standard deviation and overlapping matching degree and instructs to reacquire, performs high-precision Poisson reconstruction on an accident core area, performs voxelization processing on a peripheral area, maps image textures, optimizes vehicle deformation details, simplifies a model and retains key element precision, and finally performs data processing. License plate coordinates, a scattered object thermodynamic diagram and an emergency lane occupation state are automatically marked, a visual model is generated, and rapid and accurate restoration of an accident scene is realized.

The invention belongs to the field of life, and particularly relates to a thermos bottle with visible water storage capacity. The thermos bottle comprises a shell and an inner container arranged inside the shell. A base capable of vertically moving is mounted at the bottom of the shell, an elastic airbag is fixedly connected between the upper end of the base and the lower end of the inner container, a vertical strip opening is hermetically connected onto the side wall of the shell, a transparent tube is fixedly connected into the strip opening, the lower end of the transparent tube is communicated with the elastic airbag, and a piston block is hermetically connected into the transparent tube. The quantity of water in the thermos bottle can be known by observing the position of a piston block, a piezoelectric ceramic is used for power generation when water is injected, an LED (light-emitting diode) lamp in the piston block can emit light, the quantity of the water in the thermos bottlecan be known conveniently by people, and scalding is avoided. In addition, by the aid of an annular air cushion, when the thermos bottle falls, a good buffering function can be achieved, and impact onthe inner container is reduced.

The invention discloses a multi-bus decoupling distributed embedded hardware rendering architecture, system and method, and relates to the technical field of ultra-high-definition video hardware processing, and the key points of the technical scheme are that the architecture comprises a multi-bus decoupling module which comprises a plurality of hardware buses which are physically isolated from one another, each hardware bus is an exclusive hardware transmission link bearing a single-type manufacturing task; the modular processing unit is an independent hardware board card and is integrated with an external signal input port, an upstream bus signal input port and a downstream bus signal output port; the plurality of modular processing units are cascaded in sequence through a hardware bus in the multi-bus decoupling module to form a distributed assembly line rendering link; when the modular processing units are newly added, the signal processing capability and the rendering synthesis capability are linearly improved along with the increase of the number of the modular processing units. According to the invention, the problem of performance bottleneck of the traditional architecture in processing 4K / 8K ultra-high-definition and multichannel rendering is fundamentally solved.

The invention discloses a multi-agent-based text verification method, and relates to the technical field of agents, and the method comprises the steps: carrying out the core pain point recognition of a target text through a logic verification agent; constructing a logic chain entry used for outputting a logic verification result; judging whether the logic chain entry relates to external knowledge dependence or contains quantifiable parameters based on a scheduler, and scheduling a fact verification agent to execute a fact verification task, and / or scheduling a numerical value verification agent to execute a numerical value verification task; the scheduler carries out decision on each logical chain entry in combination with the evidence weight, the semantic matching degree and the consistency constraint to generate a decision conclusion; the memory memory encodes all results and corresponding original text positioning information into vectors and stores the vectors in a shared memory bank; and generating a verification report, and providing specific revision suggestions and original text positioning information. According to the method, logic verification, fact verification and numerical verification can be performed on the text, and the text verification efficiency and quality are improved.

The invention relates to a multi-shaft compressor unit and a control method thereof, in particular to a steam-electricity double-drive multi-shaft compressor unit connected with double clutches and a control method of the steam-electricity double-drive multi-shaft compressor unit. The technical problems that in the prior art, a pure electricity mode, a pure steam mode and a steam-electricity double-drive mode cannot be switched on line, and when steam is sufficient, a motor cannot be disengaged, so that energy is wasted are solved. The system comprises a multi-shaft compressor, a steam turbine, a motor, a first clutch, a second clutch, a steam flow sensor, a controller and a rotating speed sensor. The multi-shaft compressor comprises a driving shaft; the driving shaft is provided with two driving ends which are respectively a first driving end and a second driving end; the output shaft of the steam turbine is coaxially connected with the first driving end through a first clutch; an output shaft of the motor is coaxially connected with the second driving end through the second clutch; and rotating speed sensors are arranged on the first driving end, the second driving end, the steam turbine and the output shaft of the motor.

The invention belongs to the technical field of copper rod machining, and particularly discloses a copper rod machining device and a machining process thereof.The copper rod machining device comprises a base, two sets of workpiece supporting frames, a lifting frame, two sets of cutting machines and a transverse embracing mechanism, and the two sets of workpiece supporting frames are symmetrically installed on the upper surfaces of the two sides of the base; the two sets of workpiece supporting frames are correspondingly connected with sliding blocks through bidirectional driving pieces correspondingly arranged in the two sets of workpiece supporting frames, assembling rods are fixedly installed on the outer sides of the two sets of sliding blocks correspondingly, and a first guide frame and a second guide frame are arranged between the two assembling rods with the opposite end faces correspondingly. According to the copper rod cutting and polishing integrated machining device, copper rod cutting and polishing integrated machining is achieved, the cutting position is accurately controlled, end face burrs are effectively removed, the equipment investment and the operation cost are reduced, the machining efficiency is improved, and the machining quality is improved. And the machining efficiency and the yield are improved, and the production requirements of small and medium-sized copper material machining enterprises are met.

The invention discloses a man-machine collaborative auditing and optimizing method for AI (artificial intelligence) generated content oriented to the field of literature and blog. The man-machine collaborative auditing and optimizing method comprises the following steps: S1, content acquisition and personalized constraint preprocessing: acquiring literature and blog field related content generated by an AI model; if the content is customized by a specific object, inputting an exclusive digital resource library and a style guide of the corresponding object into an AI generation model as constraint conditions; s2, multi-dimensional automatic evaluation: calling a multi-dimensional content evaluation model to carry out automatic analysis on the content, and outputting a quality score vector containing a plurality of evaluation dimension scores; s3, man-machine task dynamic allocation and collaborative auditing: calculating the comprehensive confidence of the content based on the quality score vector, and dynamically allocating the low-confidence content to the matched artificial auditor according to the confidence and the professional portrait of the auditor; and an auditor can trigger traceability verification based on the authoritative literature and blog mapping knowledge domain during auditing. According to the method, the AI generation content in the literature and blog field can be better audited and optimized.

The utility model discloses an alumina powder conveying device which comprises a conveying frame, the top end of the conveying frame is fixedly connected with a stock bin, the inner side of the bottom end of the conveying frame is fixedly connected with a sliding frame, the conveying frame is provided with a transfer frame at the position of the sliding frame, the bottom end of the stock bin is connected with a penetrating pipe in an inserted mode, and the bottom end of the penetrating pipe is slidably connected with a movable pipe. An inlet pipe is inserted into the top end of the transfer frame, a flow limiting mechanism is arranged on the inner side of the movable pipe, an ejector rod is fixedly connected to the inner side of the inlet pipe through a small rod, the flow limiting mechanism comprises a connecting frame fixedly connected to the inner wall of the movable pipe, a baffle is slidably connected to the bottom end of the connecting frame, and a first elastic part is arranged between the baffle and the connecting frame; the flow limiting mechanism further comprises a blocking frame fixedly connected to the inner wall of the movable pipe, the top face of the blocking frame is designed to be inclined, a sealing gasket is bonded to the top face of the blocking frame, and through cooperation of the structure, it can be guaranteed that the situation that the aluminum oxide powder overflows in the falling process can not happen, and therefore waste of the aluminum oxide powder is avoided.

The invention discloses giant salamander grease and application thereof in a blood fat reducing product. The giant salamander grease is obtained by adding papain into giant salamander tissues for enzymolysis and then adsorbing by using an egg white modified microsphere adsorbent. The giant salamander grease is refined by using the egg white modified microsphere adsorbent, and then the giant salamander grease is compounded with the dark tea extract, the hawthorn extract and the lotus leaf extract and processed into embedded particles, so that the water solubility of the giant salamander grease preparation can be improved, and the giant salamander grease preparation can be used as an oral preparation for reducing blood fat.

The utility model discloses a permanent and temporary combined assembly type underground structure plate wall connecting node which comprises an assembly type underground diaphragm wall, a full-length steel plate is installed on the side wall of the assembly type underground diaphragm wall, and a prefabricated structure plate is hoisted on the full-length steel plate. The gap between the prefabricated structural slab and the fabricated underground diaphragm wall is filled with ultra-high-performance concrete, and a steel bar structure is arranged in the ultra-high-performance concrete. According to the utility model, the rigid connection between the two prefabricated parts is realized, the integrity of the structure is improved, and the safety and durability of the underground structure are fully ensured; an underground diaphragm wall which is usually used as a temporary structure is changed into a permanent structure, so that the construction period is shortened, and the investment is saved; the ultra-high performance concrete poured in the joint can greatly shorten the anchoring length of the steel bars, enlarge the arrangement distance of the steel bars, obviously reduce the using amount of the steel bars on site and the binding workload, is convenient to install and simple in process, obviously improves the construction efficiency, and has high popularization and application value.

The embodiment of the invention provides a printing control method, electronic equipment, a storage medium and a program product. The method comprises the steps that a task queue sent by a non-real-time application kernel is received through a communication protocol, and the task queue comprises a plurality of to-be-processed tasks corresponding to the five-axis laser printing equipment; determining a task type and a real-time requirement level corresponding to each to-be-processed task; according to the task type and the real-time requirement level corresponding to each to-be-processed task, adjusting the task priorities of the plurality of to-be-processed tasks to obtain a task priority queue; determining distributed system resources corresponding to the to-be-processed tasks according to the task priority queue and the current resource state; and executing each to-be-processed task according to the task priority queue and the allocated system resources corresponding to each to-be-processed task. The method is used for achieving the effect of improving the reliability of the printing system.

The embodiment of the invention discloses a breakpoint continuous migration method and device for heterogeneous database distributed migration and a medium, belongs to the technical field of heterogeneous database migration, and solves the problems that after heterogeneous database migration is abnormally terminated, the whole migration process is usually restarted, resources are calculated, and the total migration time is prolonged. Comprising the steps that a system service node carries out persistence on migration execution information, and a migration service node carries out persistence on execution task information; in response to abnormal interruption of the system service node and / or the migration service node, after the system service node and / or the migration service node are / is recovered, the system service node determines a completed execution task and an uncompleted execution task based on the persistent migration execution information; starting a breakpoint continuous migration process, and redistributing the determined uncompleted execution task to a migration service node by the system service node; and the migration service node checks whether an uncompleted execution task is completed or not based on the execution task information, and returns an execution result to the system service node.

The application provides a multi-agent cooperative task state management and abnormal backtracking method and system, relates to the technical field of artificial intelligence, and comprises the following steps: obtaining interaction data, state data and execution logs, constructing an initial task knowledge graph based on an ontology model, establishing a bidirectional causal chain by using a Bayesian network to form a dynamic knowledge graph, analyzing state migration rules when an abnormality is detected, identifying a propagation node, constructing an abnormal propagation subgraph, generating an influence chain, determining a recovery priority and triggering state rollback. The method can quickly trace the abnormal source, effectively control abnormal diffusion, and improve system robustness and task recovery efficiency.

The invention provides a BIM-based open bench blasting blast hole fine charging design optimization method, and relates to the technical field of electric digital data processing, and the method comprises the following steps: collecting related characteristic parameters of a blasting project; establishing a blasting wave and range mathematical model, and outputting a blasting wave and coefficient corresponding to the current initial explosive charge; acquiring the upper limit of the shock resistance margin of the explosive, collecting the average distance between adjacent blasting holes, and calculating the blasting coherence index by combining the blasting sweep efficiency; and setting a coherence threshold value, and comparing the blasting coherence index with the set coherence threshold value. According to the method, the blasting interference risk between the adjacent blast holes is quantitatively evaluated by introducing the blasting coherence index, and the problem of explosive load design deviation caused by the fact that a conventional scheme only depends on an empirical formula or static parameters is solved; and a closed-loop feedback optimization algorithm is adopted to automatically adjust the explosive load until a coherence threshold value is met, collaborative operation guarantee of the blasting sequence is realized, and the blasting safety and the resource utilization efficiency are remarkably improved.

The invention provides an intelligent energy-saving regulation and control system and method based on building air conditioner energy consumption prediction. A basic sensible heat load sequence of each temperature control area in a prediction time period is generated through outdoor weather prediction parameters of a target building in the prediction time period and historical operation data of each temperature control area; according to the basic sensible heat load sequence and a preset indoor comfort degree reference range, time-related comfort degree analysis is carried out on the interior of the target building, and a time-related comfort degree allowable range is generated; minimizing the total energy consumption of the air conditioning equipment in the target building is taken as an optimization target, and an energy-saving regulation and control instruction sequence of the air conditioning equipment in each temperature control area is generated by taking meeting the comfort allowable range as a constraint condition; and the energy-saving regulation and control instruction in the current time period in the energy-saving regulation and control instruction sequence is issued to the corresponding air conditioner equipment to execute energy-saving regulation and control. According to the technical scheme, optimization regulation and control of building air conditioner energy saving can be achieved in the full prediction time period.

The invention discloses an automatic advertisement screenshot and container automatic expansion method and system in a virtual desktop environment. A virtual display capable of exporting a DMA-BUF is created by deploying a Virtual Display Driver in a kernel of a host machine, and after Chrome is driven by Puppeteer to complete hardware acceleration rendering in a container, zero-copy desktop-level screenshot is carried out on a shared memory frame buffer by utilizing desktop-script-native; and meanwhile, a Kubernetes CRD unified database task and a declarative API are adopted, a Redis Stream second-level index and a predictive HPA algorithm are combined to realize advanced delta t capacity expansion of Pod, and the P99 queuing delay is ensured to be less than 2s. According to the method, single-node concurrency is improved by 3.2 times without extra hardware cost, CPU occupation is reduced by 45%, WebGL / Flash advertisement fidelity is 100%, and the method is suitable for cloud advertisement verification, brand security and programmed creative monitoring scenes.

The invention provides an environmental protection equipment energy consumption optimization and energy-saving regulation and control method based on multi-source data fusion, and relates to the technical field of environmental protection equipment energy-saving control, and the method comprises the steps: collecting the operation data of environmental protection equipment, carrying out the multi-scale feature extraction, recognizing the energy consumption abnormity through combining the energy efficiency curve reconstruction, and carrying out the energy-saving control of the environmental protection equipment; energy consumption sensitive parameters are extracted, energy-saving space is calculated based on load fluctuation, and an optimized parameter adjusting scheme and an optimized time sequence control sequence are generated by integrating the environment load change rate and the equipment thermal inertia coefficient. The energy consumption abnormity can be accurately identified, the energy-saving space is scientifically quantified, the intelligent optimization and dynamic regulation and control of the energy consumption of the environmental protection equipment are realized, and the operation efficiency of the equipment is obviously improved.

The invention provides a cooperative path planning method for searching and tracking an underwater target by a multi-USV unmanned cluster, and the method comprises the steps: introducing a pose-control quantity-time to carry out the three-dimensional double-chain coding of a population in an improved genetic algorithm, enabling a control instruction and an accurate execution timestamp to serve as a genetic gene, and enabling the control instruction and the precise execution timestamp to serve as a genetic gene in the crossover and mutation operation, timestamps, control quantities and poses are transmitted synchronously, and it is ensured that offspring individuals can inherit an excellent cooperation mode of a parent; during population initialization, USV is guided to preferentially cover a high-value region through region division and weighted Gaussian distribution, so that blindness caused by random initialization of a traditional genetic algorithm is overcome, and invalid search is avoided; a target for avoiding secondary search is designed in a fitness function, and repeated access to recently searched areas is quantified by introducing a concept of confidence time intervals, so that an algorithm actively explores unexplored water areas, waste of search resources is avoided, and accuracy and planning efficiency of multi-USV collaborative path planning are improved.

The invention relates to the technical field of garbage treatment, in particular to a garbage classification intelligent detection device which comprises a box body, box doors, a mounting frame, placement plates, a first collection box and the like, the box doors are hinged to the left side and the right side of the box body, the mounting frame is connected to the bottom in the box body, and the three placement plates are connected to the mounting frame; and first collecting boxes for collecting garbage are placed on the placing plates. Garbage can be grabbed through the mechanical arm and put into the first collecting box or the second collecting box to be classified and collected, plastic bottles can be punctured through steel needles, water or beverages in the plastic bottles can flow into a material receiving box, the water and the beverages are prevented from falling into the second collecting box, and therefore the surrounding environment can be protected; water and beverages in the material receiving box can be heated through the heater, so that the water and the beverages are evaporated to form water vapor, the water vapor is condensed into water drops after being cooled, the water is discharged through the water discharging pipe, the water can be recycled, and waste is avoided.

The invention discloses a container storage processing method and system based on TIPU, a terminal and a medium, and relates to the technical field of storage virtualization, and the technical scheme is characterized in that storage configuration information of NFS shared file information is encrypted; the method comprises the following steps of: creating a Configumap resource; a persistent storage declaration PVC is created, and a TIPU gateway is triggered to dynamically create virtiofs equipment; a POD is created, and virtiofs equipment is mounted to a container in the POD; the Configumap resource is analyzed, so that a first secret key fragment is injected into the virtiofs file system; and combining to form a complete secret key so as to decrypt the file information. According to the invention, the POD in the Kubernetes environment can be ensured to perceive and directly access the storage resources managed by the TIPU in real time, and efficient and dynamic unloading of the storage load is realized through seamless integration with the TIPU platform.

This invention relates to the field of electrical equipment monitoring technology, specifically a cloud-based smart meter real-time electricity consumption monitoring system. The system includes: using smart meters to monitor enterprise electrical equipment in real time within a target monitoring area, collecting real-time electricity consumption data of the equipment; sensors within the smart meters monitoring the meters; analyzing the situation when the collected electricity consumption data exceeds a threshold value to determine if it constitutes an abnormality; obtaining the smart meter's health value, analyzing its health status, and issuing alerts to staff based on the analysis results; calculating the probability of an abnormal electricity consumption based on staff reports of equipment and smart meter maintenance; and establishing an electrical equipment electricity consumption database based on the real-time electricity consumption data collected by the smart meters for managing the enterprise's electrical equipment.

The utility model belongs to the technical field of stirring, disclose a kind of multifunctional handheld stirring device, including mounting plate, the middle part of mounting plate is connected with vertical downward telescopic stirring rod by bearing, the bottom end of telescopic stirring rod is connected with replaceable modular stirring head by quick dismounting and replacement assembly, fluid splash shield is equipped on telescopic stirring rod;The top of telescopic stirring rod is equipped with passive gear, and the top of mounting plate is equipped with the fixed branch plate of U shape.The utility model can adjust length by the setting of telescopic stirring rod, can adapt to the material stirring use of different depth;The bottom end of telescopic stirring rod is connected with replaceable modular stirring head by quick dismounting and replacement assembly, can carry out quick dismounting and replacement to modular stirring head, satisfy diversified demand;The setting of fluid splash shield can prevent fluid splashing, avoid causing material waste, and brushless motor can provide stable driving force by gear transmission.

The invention discloses a resource scheduling optimization method and system based on dynamic load awareness, and belongs to the technical field of resource scheduling, and the method comprises the steps: carrying out the index collection of a consumer group and an AI model through a load awareness agent when the consumer group processes real-time business data, and obtaining a plurality of operation indexes; if the operation index meets a preset resource scheduling condition, performing resource allocation according to the operation index and the service priority of the real-time service data, and constructing a resource scheduling rule; based on the operation index and the resource scheduling rule, calculating an optimal scheduling action through a dynamic scheduling engine; and updating the concurrency number of the consumer group and the configuration parameters of the AI model by using the optimal scheduling action. Therefore, by implementing the method and the device, the problems of low business processing efficiency and resource waste caused by the fact that the consumption capability of the data processing cluster and the reasoning capability of the AI model cannot meet actual requirements due to the fact that resources cannot be dynamically allocated in the prior art can be solved.

This invention relates to the field of nuclear safety equipment testing technology. It provides a method for optimizing parameters in accelerated reliability testing of nuclear safety-grade valves. The method involves the following steps: establishing a correlation model between accelerated stress and life parameters; calculating the acceleration factor and formulating an initial test plan; deriving the theoretical sample size based on the success-failure test method combined with confidence requirements; constructing an extended coefficient table using the range-extended test method to optimize test parameters; generating multiple accelerated test plans through chi-square distribution verification; eliminating plans that do not meet the life characteristic threshold; determining the optimal sample size, number of failures, and test cycle through comprehensive test cost and risk analysis; and finally outputting a complete test plan including the action interval time. This method solves the problems of limited test samples, insufficient failure data, low confidence levels, and difficulty in adapting accelerated models in existing high-reliability valve technologies.

The present application relates to the technical field of power distribution control, and particularly relates to a power intelligent dynamic distribution method for a skid steer loader based on multi-working condition identification. The method comprises the following steps: performing skid steer loader multi-modal operation characteristic analysis on power states of skid steer loader multi-source operation data to generate skid steer loader multi-modal operation characteristic data; performing skid steer loader working condition characteristic analysis on the skid steer loader multi-modal operation characteristic data to generate skid steer loader working condition characteristic data; performing power demand characteristic analysis on working condition dynamic change trends based on skid steer loader real-time operation data and the skid steer loader working condition characteristic data to generate working condition dynamic change trend power demand characteristic data; and performing skid steer loader power distribution and dynamic optimization processing based on the working condition dynamic change trend power demand characteristic data to generate skid steer loader power distribution dynamic optimization data. The present application realizes efficient and energy-saving intelligent distribution of power under multi-working conditions of a skid steer loader.

The utility model relates to camellia oil low temperature extraction technical field, concretely relates to a camellia oil low temperature extraction device, include: low temperature extraction main part, the low temperature extraction main part outside is provided with the oil outlet pipe, the oil outlet pipe below is provided with the filter jar, filter mechanism, including fixedly connected in the filter jar inside baffle, the baffle one side is provided with the filter screen that sets up the fan shape, the baffle top is provided with the notch that sets up the fan shape, the notch below is provided with the material guide plate that extends to the filter jar outside, the material guide plate above is provided with the cleaning brush, the utility model discloses through the setting of filter mechanism, in the mixed oil liquid enters to the filter jar, under the action of filter screen to the material slag in oil liquid carries out the filtration, and under the action of cleaning brush will the material slag that remains on filter screen scrape into the notch, finally through the material guide plate and discharge the filter jar outside, prevent the material slag to accumulate on filter screen, improve the filtration efficiency to mixed oil liquid.

This utility model discloses a constant temperature mixing device for weather-resistant adhesive for building stone, including a constant temperature furnace. A furnace cover is fixedly connected to the top of the furnace, and a first motor and a feed inlet are fixedly connected to the top of the furnace cover. A rotating rod is fixedly connected to the output shaft of the motor, and a stirring belt is fixedly connected to the bottom end of the rotating rod extending into the furnace. A moving ring is provided inside the furnace, and a scraper ring is fixedly sleeved on the outer wall of the moving ring. An L-shaped support plate is fixedly connected to the top of the furnace cover, and a second motor is fixedly connected to the top of the L-shaped support plate. A threaded rod is fixedly connected to the output shaft of the second motor. This constant temperature mixing device for weather-resistant adhesive for building stone, through the scraper assembly, can scrape off residual material on the inner wall of the furnace, avoiding material waste and preventing interference with subsequent mixing, making it suitable for widespread use.

The invention relates to the technical field of unmanned aerial vehicle control, and discloses an unmanned aerial vehicle target classification matching strike control method and system based on deep learning, and the method comprises the following steps: S1, collecting the original environment data of an unmanned aerial vehicle flight region, carrying out the preprocessing of the original environment data, and generating multi-mode perception data; and S2, inputting the multi-modal sensing data into a pre-constructed deep learning classification network, extracting multi-level depth features of the target through the deep learning classification network, carrying out classification identification on the target based on the multi-level depth features, and outputting target category information and target position information of the target. The multi-modal sensing data is input into the deep learning classification network for target recognition, the multi-modal fusion sensing mode can give full play to the complementary advantages of different sensors, high target recognition accuracy can still be kept in complex environments such as night, low illumination and severe weather, and the adaptive capacity of the system to environment changes is remarkably improved.

The utility model provides a corn planting topdressing device belongs to agricultural planting technical field, including handcart, the handcart top wall fixedly connected with the adjusting box, the adjusting box outer wall slidingly connected with the lifting plate, the lifting plate top wall rotationally connected with the adjusting screw A, and the adjusting screw A outer wall is linked with the adjusting box outer wall thread, the handcart outer wall fixedly connected with the storage box still include: High -efficient stirring subassembly, high -efficient stirring subassembly includes fixedly connected with the storage box of handcart top wall. In the utility model, the driving motor is driven main rotary lever, and the meshing transmission of driving nautilus gear and driven nautilus gear is used, and main rotary lever and vice rotary lever rotate simultaneously, and the all -round, multi -angle stirring of stirring rod to fertilizer is carried out, compared with traditional stirring mode, improves stirring efficiency and evenness, ensures that the nutrient of topdressing solution is balanced, is helpful to corn better absorption nutrient, promotes growth.

The application relates to a sapling transportation device for forestry, belonging to the technical field of sapling transplanting, which comprises a storage box, a fixing assembly and a water application assembly. The water application assembly is composed of a cooling water bag, a temperature detector, a water pump, a water tank and a water delivery pipe. The temperature detector monitors the ambient temperature in real time. When the temperature is too high, the water pump is automatically started, the water in the water tank is delivered to the cooling water bag through the water delivery pipe, and is sprayed onto the sapling through a nozzle, so that cooling and moisturizing are realized. The excess water is returned to the water tank through the water seepage return of the bottom of the storage box, is recycled, the whole process is automatically completed, the labor intensity is reduced, timely water supplement during high temperature is ensured, waterlogging and root rot are avoided, and a healthy and moist environment of the sapling is maintained.