562results about How to "Reduce limitations" patented technology

The invention discloses a remote sensing image change detection method based on an adaptive Transform and a deformable convolution. The method comprises the following steps: firstly, establishing a twin feature extraction encoder fusing adaptive Transform and deformable convolution for extracting multi-scale local-global features of a dual-temporal remote sensing image; secondly, an adaptive Cross-Transform high-order feature interaction module is designed, and the adaptive Cross-Transform high-order feature interaction module is used for extracting high-level semantic change information and inhibiting irrelevant information interference; thirdly, providing a difference extraction module to generate different levels of difference feature maps so as to obtain a multi-scale change region; and finally, constructing a multi-scale fusion decoder, fusing the multi-level feature maps layer by layer, and further enhancing the feature expression of the change region. According to the method, the advantages of the Transform and the CNN are combined, the designed adaptive Transform and adaptive Cross-Transform can effectively extract the global features of the change region, and the adopted deformable convolution can effectively extract the local features of the change region, so that the overall performance of change detection is improved.

The invention provides a multi-agent cooperation system, which comprises a multi-agent cooperation engine module, a task decomposition and distribution module and a tool calling normal form module, and is characterized in that the task decomposition and distribution module is used for decomposing tasks and distributing decomposed sub-tasks to agents; the multi-agent cooperation engine module is used for managing cooperation and communication between agents; and the tool calling module enables the intelligent agent to dynamically call different tools. According to the multi-agent collaboration system, the collaboration efficiency among the agents, the flexibility of task decomposition, the adaptivity of tool calling and the intelligent level of user interaction are remarkably improved, and remarkable technical advantages and effects are shown in complex task processing and dynamic environment processing.

The invention discloses an AI digital human interaction system based on emotion recognition, relates to the technical field of emotion calculation, and improves the accuracy of emotion recognition through multi-modal emotion data acquisition and processing of an emotion primary recognition module and a secondary recognition module. The system effectively distinguishes complex emotions, such as fatigue and depression, of the trainee in the virtual education task by calculating the first emotion coefficient and the second emotion coefficient; secondary emotion recognition is carried out, so that misjudgment is reduced, and the emotion state recognition accuracy is ensured; through an emotion feedback module, the system dynamically adjusts the expression, intonation and interaction frequency of the AI digital human according to a second emotion coefficient, so that the emotion feedback is more natural, and the emotion recognition sense of the student is enhanced; besides, the culture adaptation analysis module collects cross-culture emotion data based on the culture background of the trainee, calculates and evaluates a culture adaptation coefficient, and automatically adjusts an emotion recognition and feedback strategy, thereby improving the adaptability of the system in a multi-culture environment and the accuracy of emotion expression.

The invention provides a large model text generation method and system based on self-adaptive cue words, and belongs to the technical field of large model text generation. The technical problem to be solved is that the current large language model text generation has the defects of selection deviation and uncertainty. According to the technical scheme, hierarchical clustering processing is carried out on problems contained in a large-scale multi-task language understanding MMLU data set, a text embedding and similarity calculation matrix is adopted, and a plurality of problem clusters containing similar features are constructed and obtained; randomly extracting representative problem examples from each problem cluster, and constructing excellent cue words with remarkable guide effects for each problem based on domain knowledge and potential semantic association; a Qwen model is adopted to generate candidate cue words with diversity and pertinence for various question clusters divided in advance, a cue word bank is constructed, and each question and cue word pair in the cue word bank is manually scored; the method is applied to text generation.

The invention provides a multi-modal target detection method and device and a multi-modal recognition system. The method comprises the steps that a scene image is acquired, and the scene image is an image of a current environment acquired by adopting image acquisition equipment; acquiring a point cloud image, the point cloud image being an image of point cloud data of the current environment acquired by using a laser radar; according to the scene image and the point cloud image, fusion is carried out to obtain a target image, and the fusion mode at least comprises image fusion and / or feature fusion; and performing target identification on the target image to obtain a target object in the target image. According to the scheme, the problem of low accuracy of target detection based on single data in the prior art is solved.

The invention discloses an intelligent user permission conflict detection method and system, and relates to the field of electrical digital data process.The method comprises the steps that a service flow diagram is constructed based on historical records; extracting a service flow direction sequence of the permission roles from the service flow direction graph, and calculating service association degrees among the permission roles according to the service flow direction sequence; grouping and clustering the authority roles according to the business association degree to obtain a plurality of authority role clusters; calculating a service boundary value of each permission role cluster; determining a target permission role cluster to which the target permission role belongs from a plurality of permission role clusters; calculating the business association strength between the permission role currently owned by the target user and the target permission role; when the business association strength exceeds a business boundary value, generating a first permission allocation control instruction; and when the business association strength does not exceed the business boundary value, generating a second permission allocation control instruction. The method and the device are used for solving the problem of authority conflict in a newly-added business scene, so that the security of the system is improved.

The invention provides a bridge state assessment method and system based on multi-source sensing data, and relates to the technical field of bridge state assessment, and the method comprises the steps: collecting historical monitoring data at a starting point, a center and an end point of a bridge, carrying out the preprocessing of the data, and taking a mean value for subsequent assessment; and updating the state value of the bridge part through Kalman filtering to obtain acceleration and displacement data after state updating. And then, an expert scoring method is adopted to carry out state evaluation on the data, and a random forest model is constructed to carry out state prediction. The current monitoring data is evaluated through the model, if the current moment state predicted by the model is lower than the state threshold value, the abnormal index of the bridge is calculated and then compared with the preset abnormal threshold value, and if the abnormal index exceeds the standard, early warning is given out. According to the method, multi-source data are effectively integrated, the accuracy and real-time performance of bridge monitoring are improved, and a scientific basis is provided for safe operation of a bridge.

The invention discloses an AI auxiliary screening method based on a mammary gland molybdenum target image, and relates to the technical field of image data identification processing, and the method comprises the following steps: S1, image collection: collecting mammary gland molybdenum target image data of a patient, carrying out the standardization processing, removing the noise in the image, standardizing the gray value, and enhancing the local contrast, and obtaining a structured image data set. According to the AI auxiliary screening method based on the mammary gland molybdenum target image, multiple machine learning algorithms are fused for focus classification, so that the classification accuracy is improved; multiple classification models are constructed in an integrated learning mode, prediction results are fused through a weighted average mechanism and a voting mechanism, model prediction confidence is calculated for weighted fusion, the advantages of all the models are brought into full play, and the limitation of a single model is reduced; the screening accuracy and efficiency of the mammary gland molybdenum target image are improved, the focus detection and classification difficulty is reduced, and the condition that the model has more false negative or false positive results is improved.

The invention provides a structure capable of controlling a large-volume water gate crack and a construction method thereof, and belongs to the technical field of water gates. The structure comprises a gate bottom plate and a gate pier which are formed by pouring concrete, and the gate pier is arranged above the gate bottom plate; hole cavities are at least formed in the gate piers and reserved in the concrete pouring process. The hole cavity is used as a self-constrained stress hole; and the tough material is used for absorbing stress, is filled in the pore cavity and is connected with the inner wall of the pore cavity. The method comprises the steps of S1, construction preparation; s2, foundation treatment; s3, gate bottom plate construction; s4, gate pier construction: S41, construction lofting; s42, gate pier reinforcing steel bars are bound and installed; s43, a gate pier formwork is erected above the gate bottom plate; s44, a hole forming device is installed at the designed position; s45, concrete pouring, vibrating and curing are conducted; and S46, after initial setting of the concrete, the hole forming device is pulled out of the pipe, and a formed hole cavity is filled with a tough material. The sluice pier crack can be effectively controlled, and the use durability and safety of the sluice are improved.

The invention discloses welding equipment for production of a refrigeration temperature controller of a refrigeration house, and relates to the technical field of welding equipment.The welding equipment comprises a cabinet and a machining mechanism, the machining mechanism comprises a connecting sliding block and an air cylinder, a hydraulic cylinder is installed on the side of the outer side of the connecting sliding block, and a welding main machine is fixedly installed at the telescopic end of the hydraulic cylinder; a welding gun is installed at the bottom of the welding main machine, a heat preservation assembly is installed on the outer side, close to the bottom, of the welding gun and comprises an annular sliding part, a cylinder is fixedly installed on the edge side of the outer side of the annular sliding part, and a reset spring is fixedly installed between the top of the cylinder and the conical face of the top of the outer side of the welding gun. A heat conducting piece is fixedly installed on the side of the inner cavity of the cylinder and close to the edge of the annular sliding piece, and a clamping piece is fixedly installed on the outer circle face of the cylinder and close to the bottom through a connecting rod. According to the welding equipment for production of the refrigeration temperature controller of the refrigeration house, the heat preservation effect is achieved, heat preservation can be conducted, the situation that the temperature difference is too large is not likely to occur, and the welding quality is high.

The invention relates to the technical field of target visual recognition, in particular to a three-dimensional target recognition method based on a multi-view target recognition network, and the method specifically comprises the following steps: data collection, data preprocessing, feature extraction, feature fusion, target classification and positioning, model training and real-time target recognition. Through comprehensive utilization of multi-view data, limitation of single-view data is reduced, recognition precision is improved, through a multi-view CNN sharing weight and an attention mechanism, features of a target object can be better captured, feature weights are dynamically adjusted through the attention mechanism, adaptability of a model to a complex scene is enhanced, and recognition accuracy is improved. According to the method, high recognition precision can still be kept even under the conditions of illumination change, shielding and view angle change, the parameter quantity of the model is reduced through the network design of the shared weight, the calculation complexity is reduced, the method is suitable for real-time application, the model can converge in a short time through staged training and selection of an optimizer, and the training efficiency is improved.

The invention belongs to the technical field of fabric dyeing and finishing, and particularly relates to padding equipment for dyeing and finishing polyester fabric, which comprises a workbench, side edge plates are symmetrically arranged on the workbench, the two side edge plates are jointly connected with a rotating shaft, one end of the rotating shaft is provided with a rotating square groove, and the rotating square groove is connected with the output end of a rotating motor. The rotating motor is provided with an inserting-stopping assembling and disassembling assembly. A rotating cam is mounted at the other end of the rotating shaft, and a multi-cycle position correcting mechanism is connected to the rotating cam; the rotating shaft is further provided with a position adjusting and distance locking device. The position adjusting distance locking device comprises a distance adjusting square groove formed in the side edge plate in a penetrating mode. According to the device, fabric adhering to the driving roller is scraped through the movable scraping unit, the situation that the fabric is too dry due to the fact that the fabric is squeezed by two rollers all the time is avoided, and therefore the situation that workers need to manually remove the adhered fabric is avoided, the risk when the workers operate equipment is reduced, the phenomenon that the workers are injured by the rolling mill is avoided, and the working efficiency is improved. And therefore, the safety of the equipment during use is improved.

The utility model relates to the technical field of spraying, in particular to an automatic cavity spraying mechanism which can adjust the distance between a spray head and the inner side wall of a pipeline to be suitable for spraying, is suitable for pipelines of different specifications, and is convenient to use, low in limitation and high in practicability. Comprising a bottom plate, a nozzle, a hose and a spraying pump, and the output end of the spraying pump is connected with the nozzle through the hose; the spraying device further comprises a left-right moving mechanism, a rotating mechanism, a clamping mechanism and a lifting mechanism, the spraying head is installed on the bottom plate through the lifting mechanism, the lifting mechanism is used for adjusting the height of the spraying head, the rotating mechanism is installed on the left-right moving mechanism, the left-right moving mechanism is used for moving the rotating mechanism left and right, and the clamping mechanism is installed on the rotating mechanism. The clamping mechanism has a clamping function, and the rotating mechanism has a rotating function.

The utility model relates to the technical field of laser welding machines, in particular to a laser welding machine which can flexibly adjust the angle of two plates and carry out laser welding on the two plates which are horizontally placed and have an angle, and the limitation is smaller. Comprising a rack, an upper beam frame and a laser welding head, the upper beam frame is installed on the rack, and the laser welding head is installed on the upper beam frame; the first suction cup and the second suction cup are oppositely arranged, a gap is formed between the first suction cup and the second suction cup, the outer ends of the first suction cup and the second suction cup are hinged through the hinge, a hinge shaft of the hinge is located between the first suction cup and the second suction cup, and the first connecting arm is arranged at the inner end of the first suction cup; a second connecting arm is arranged at the inner end of the second suction cup, the second connecting arm is rotationally connected with the rotating shaft, the rotating shaft is rotationally installed on a driving assembly, and the driving assembly drives the first connecting arm and the second connecting arm to synchronously and relatively rotate.

The utility model discloses a mine accumulated water depth measuring device, which belongs to the technical field of mine accumulated water measurement and comprises a floating plate, supporting plates are symmetrically and fixedly connected to the side surface of the floating plate, a winding roller is arranged on the inner side of each supporting plate, a rope is fixedly connected to the side surface of each winding roller, and a through hole is formed in the center of the floating plate. One end of the rope penetrates through the through hole to be fixedly connected with a balancing weight, the upper surface of the floating plate is rotationally connected with a gear ring, the inner side surface of the gear ring is fixedly connected with an electric telescopic rod through a side plate, and one end of the electric telescopic rod is fixedly connected with a marking pen. The situation that mine accumulated water is measured manually through a lifting rope and a balancing weight is avoided, the situation that the measurement accuracy of the mine accumulated water depth is reduced due to rough measurement is prevented, the measurement device can enter a mine for measurement, the limitation of mine accumulated water measurement is reduced, large-area multi-point measurement can be achieved, and the measurement efficiency is improved. People can further know the depth of the accumulated water in the mine, and the practicability of the measuring device is improved.

The invention discloses a power equipment cross-modal data fusion method and system based on deep learning, and relates to the technical field of data processing. Performing stress value extraction on the electrical data and the voiceprint data to obtain an electrical stress value and a voiceprint stress value; performing feature extraction on the image data to obtain target image features, and performing feature extraction on the electrical data and the voiceprint data through a full-connection neural network to obtain target electrical features and target voiceprint features; and performing feature fusion on the target image feature, the target electrical feature and the target voiceprint feature according to the electrical stress value and the voiceprint stress value to obtain a target total feature, and determining a fault type of the target equipment according to the target total feature. According to the method, the stress values are extracted from the electrical and voiceprint data, the modal features are extracted by using the neural network, the electrical, voiceprint and image target features are fused into a unified total feature, the fault type is determined according to the total feature, and the overall stability and operation efficiency of the power system are improved.

The invention belongs to the technical field of seedling transplanting, and particularly relates to a seedling transplanting device and method for forestry planting. Comprising a moving platform, a supporting frame is arranged at the top of the moving platform, and saplings are placed on the supporting frame; a locking and clamping structural part is arranged on the moving platform and is used for clamping a sapling; the locking and clamping structural part comprises a clamping square plate located below the sapling, guide sliding blocks are connected to the two sides of the clamping square plate, and distance limiting and position adjusting devices are arranged on the guide sliding blocks and used for adjusting the clamping position of the sapling by the locking and clamping structural part; water can uniformly permeate to the periphery of a root system through the multi-angle liquid supplementing mechanism, most areas of the root system are prevented from being in a water shortage state, the limitation of the device during seedling transplanting operation is reduced, the situation that the device can only supplement water to local areas of the root of a seedling at one position is avoided, and therefore the phenomena of root system rot and the like caused by oxygen deficiency of the root are avoided; the transplanting effect of the device is improved.

The invention discloses a wave hydrodynamic numerical simulation method for a sea area provided with a hedge shrub dam, and relates to the technical field of offshore wave simulation, and the method comprises the following steps: S1, determining a target sea area, and collecting actually measured water depth topographic data and chart water depth data of the target sea area, the target sea area being a salt marsh beach sea area where the hedge shrub dam is planned to be arranged; s2, setting grid precision, and constructing a wave hydrodynamic two-dimensional model of the target sea area by using a structured grid; s3, setting boundary conditions for driving the wave hydrodynamic two-dimensional model, and setting initial parameters; and S4, based on the wave hydrodynamic two-dimensional model constructed in the S2, performing numerical simulation on the target sea area by using a sub-grid method to obtain the characteristic wave height and periodic space-time distribution of the target sea area. According to the method, the calculation efficiency can be guaranteed, the wave transmission characteristics of the hedge shrub dam are considered, and the influence of construction of the hedge shrub dam on the wave hydrodynamic environment field can be accurately simulated.

The invention discloses a focus detection method and device based on deep learning, and relates to the technical field of deep learning, and the method comprises the steps: obtaining a capsule endoscopy image sequence, and carrying out the video frame extraction of the capsule endoscopy image sequence, so as to obtain a gall bladder endoscopy image; constructing a focus detection neural network for detecting the focus of the gallbladder endoscopic image, and performing multi-level feature extraction and multi-level feature fusion on the focus of the gallbladder endoscopic image based on the focus detection neural network to obtain a preliminary detection result; and constructing a deep calculation neural network for deeply extracting focus features and calculating the number of the focus, performing deep fusion feature extraction on the gallbladder endoscopic image according to the preliminary detection result based on the deep calculation neural network, refining repeated judgment of the focus, and generating a final detection result of the focus. And counting and analyzing the lesions according to the final detection result to obtain the number of the lesions and lesion information of each lesion. According to the invention, focus detection speed and accuracy are improved.

The invention discloses a truss support system based on a green steel structure building, comprising: a base assembly, the base assembly comprising a stability maintaining bottom plate and an assembly pin A, the middle of the top end of the stability maintaining bottom plate being fixedly connected with the assembly pin A; the supporting assembly comprises a limiting plate, limiting through grooves A and guide sliding rods, the limiting through grooves A are formed in the four end corners of the limiting plate, the guide sliding rods are fixedly connected into the limiting through grooves A, the outer sides of the guide sliding rods are slidably connected with supporting stand columns, and a guiding assembly is arranged in the middle of the limiting plate. The guide assembly is used for locking the position of the supporting stand column. The invention relates to the technical field of green steel structure building construction. Through structural cooperation of the base assembly, the supporting assembly and the truss carrying assembly, rapid assembly and use can be conducted on site without the help of bolts, the time consumed for site preparation is greatly shortened, and the overall application convenience is greatly improved.

The invention discloses a valve centrifugal casting machining cooling device, and relates to the technical field of cooling equipment, the valve centrifugal casting machining cooling device comprises a cooling box, a protection mechanism and a spraying mechanism, the protection mechanism comprises an air cylinder and a right-angle plate, a rectangular frame is fixedly installed at the telescopic end of the air cylinder, and pressing plates are fixedly installed at the corresponding positions of the bottom of the rectangular frame; a clamping assembly is installed at the top of the rectangular frame, a pull rope is fixedly installed between the edge of the top of the rectangular frame and the vertical face of the inner side of the right-angle plate, a cylinder is fixedly installed at the position, close to the right-angle plate, of the outer side of the cooling box, the spraying mechanism comprises a shell and a pump body, and a U-shaped pipe is installed between the bottom of the pump body and the bottom of the cooling box; the liquid outlet end of the pump body communicates with a connecting pipe, and a water sprayer is installed at the position, close to the connecting pipe, in the shell. According to the valve centrifugal casting machining cooling device, the uniform cooling effect is achieved, cooling is rapid and uniform, safety protection is achieved, and scalding is not prone to occurring.

The invention discloses a three-dimensional visual monitoring method for the underground water level of a deep foundation pit. The method comprises the steps that a three-dimensional underground enclosure wall of the deep foundation pit is generated; automatically generating and updating a pit inside and outside water level fitting three-dimensional curved surface diagram in the three-dimensional underground enclosure wall of the deep foundation pit; automatically identifying and marking the highest point and the lowest point of water levels inside and outside the pit; marking the burial depth of the underground safe water level of the deep foundation pit; the three-dimensional position of the relief well in the open state is automatically generated and updated; and three-dimensional visual monitoring is conducted on the underground water level of the deep foundation pit according to the three-dimensional curved surface graph fitted by the water levels inside and outside the pit, the highest point and the lowest point of the water levels inside and outside the pit on the three-dimensional curved surface graph and the three-dimensional position of the in-pit decompression well in the open state. According to the method, the underground water level of the deep foundation pit can be visually monitored, and the comprehensiveness, accuracy and timeliness of monitoring are improved.

The invention discloses a preparation method of a squalene and tocopherol composition microcapsule, and relates to the technical field of microcapsule preparation, and the preparation method is characterized by comprising the following steps: squalene, tocopherol and an emulsifier form a core material emulsion, Arabic gum, modified corn starch and maltodextrin are compounded to obtain a wall material emulsion, and the wall material emulsion is prepared into the squalene and tocopherol composition microcapsule. Uniformly mixing the core material emulsion and the wall material emulsion, and performing a spray drying process to obtain the squalene and tocopherol composition microcapsule. The obtained microcapsule has good thermal stability and antioxidant activity, and can well protect active components.

The invention relates to a multi-agent cooperation-based language model reasoning resource scheduling method and system, and the method achieves the intelligent simulation of multi-view iterative thinking in a complex reasoning task through the construction of a multi-agent system which is clear in division of labor and is provided with a special knowledge base. View limitation and decision deviation of a single model in long-sequence and multi-step reasoning are effectively overcome; depending on the fusion of the general capability of the large language model and the task special knowledge base, the professionality and accuracy of the reasoning result are improved. Meanwhile, the problems of resource waste, redundant calculation and unstable convergence caused by cognitive overload in the cooperation process are solved by combining multi-round dynamic cooperation with a convergence mechanism of cognitive load perception and a dynamic token number limitation and low-confidence branch pruning strategy; therefore, on the premise that the reasoning quality is guaranteed, the utilization efficiency of computing resources is remarkably optimized, peak value occupation is reduced, the overall reasoning time delay is shortened, and reliable technical support is provided for efficient and stable deployment of a large language model in a complex task.

The invention relates to a virtual private network communication method, device and equipment and a readable storage medium, and the method comprises the steps: forwarding a to-be-transmitted data stream to a virtual private network gateway through a private network, and transmitting the data stream to a virtual private network channel through the virtual private network gateway, and transmitting the data stream to a client through at least two tunnels in the virtual private network channel. Compared with the prior art, the embodiment of the invention has the advantages that the private network and the virtual private network are separated, the routing independence of the private network is guaranteed, the to-be-transmitted data stream is further forwarded to the virtual private network gateway through the private network, and the data stream is sent to the virtual private network channel through the virtual private network gateway. And transmitting the data stream to the client through at least two tunnels in the virtual private network channel, using a plurality of VPN tunnels, providing active-standby and active-active modes, providing more VPN networking choices, and ensuring high availability of services.

The invention discloses a satellite-based power transmission line monitoring method and device and a storage medium. Relates to the technical field of satellites. The method comprises the following steps: a satellite obtains a satellite remote sensing image of a predetermined area, and determines a plurality of pixels corresponding to a power transmission line; the satellite determines abundance values of end members corresponding to various preset surface feature types in the pixels according to the frequency domain features corresponding to the pixels, and the preset surface feature types comprise forest surface feature types, water body surface feature types and building surface feature types; the satellite determines whether the ground corresponding to the corresponding pixel has potential safety hazards or not according to the abundance value through the monitoring model; the satellite sends early warning information corresponding to the ground with the potential safety hazard to a gateway station; and the gateway station uses the unmanned aerial vehicle to inspect the ground with the potential safety hazard according to the early warning information. Therefore, the technical problems of relatively small monitoring area, relatively long monitoring time and relatively high limitation caused by only using the unmanned aerial vehicle to monitor the power transmission line are solved.

The utility model relates to an overhead file cabinet, a vehicle interior assembly and a vehicle, the overhead file cabinet comprises a top cabinet body and a flexible partition part, the outer side wall of the top cabinet body is used for being connected with a cab, and a storage space with an opening is formed in the inner side wall of the top cabinet body; the flexible partition piece is arranged in the storage space, the flexible partition piece has a first state and a second state, in the first state, the flexible partition piece divides the storage space into a plurality of subspaces, and in the second state, the subspaces are combined into one storage space. Long and large articles can be stored, and the limitation of the types of the stored articles is reduced.

The invention relates to a single-motor double-shaft electric three-station rapid isolation mechanism and a working method thereof.The single-motor double-shaft electric three-station rapid isolation mechanism comprises a mounting table, the mounting table comprises a bottom-layer substrate, a middle-layer substrate and a top-layer substrate, and the top-layer substrate and the middle-layer substrate are provided with an electric isolation mechanism and a manual isolation mechanism with the same rotating shaft respectively; the electric isolation mechanism and the manual isolation mechanism respectively drive a first manual shaft or a second manual shaft to drive a main output shaft to rotate through a motor and a manual operation, and drive a large spring part to rotate through meshing transmission so as to realize three-station switching-on and switching-off. By arranging the electric isolation mechanism and the manual isolation mechanism, switching-on and switching-off of the three-station machine switch are electrically and manually controlled respectively, the motor has high stability and reliability, long-time stable operation can be achieved, and manual control can be flexibly operated according to actual conditions.

The invention discloses an intelligent fireproof rescue robot and a rescue system, and belongs to the technical field of fire rescue equipment. The rescue robot comprises a main body part, and a driving mechanism, a moving mechanism and a fire extinguishing mechanism are connected to the main body part; the intelligent reconnaissance mechanism comprises a reconnaissance device and a storage cabin; the reconnaissance device is connected with the rescue robot in a split manner and can be independently and movably controlled; the storage cabin is used for placing the reconnaissance device; and the rescue mechanism comprises a rescue mechanical arm and a rescue cabin, and the end of the rescue mechanical arm is connected with a rescue manipulator. Under the cooperative control effect of the control system, the rescue system is connected and communicated through a 5G network, when a mine fire occurs and after the ground command center receives an alarm, the site of the mine fire can be determined in time and monitored in real time, and an instruction whether to start or not is given to the rescue robot through the communication base station; the robot is started to carry out rapid intelligent rescue work, rescue is efficient, and the safety coefficient is high.

The utility model discloses a moisturizing cover for fruit tree seedling raising, which relates to the technical field of agriculture and comprises a supporting column, a connecting rod is arranged on one side of the supporting column, clamping holes are formed in two sides of the connecting rod, an adjusting rod is movably connected in the connecting rod, and a limiting rod is fixedly connected to the right side of the adjusting rod. A sliding groove is formed in the adjusting rod, and a sliding block is slidably connected into the sliding groove. The moisturizing cover has the advantages that the space in the moisturizing cover main body can be effectively adjusted through the telescopic rod, the spring, the clamping plate, the clamping hole, the limiting rod, the connecting rod and the like, so that the moisturizing cover can be suitable for fruit tree seedlings with different shapes and sizes, and meanwhile, the limitation of the moisturizing cover can be reduced; and the position of the fixing clamp can be adjusted through a bolt, a clamping ring, a clamping ring, a guide rod, a fixing block and the like, and then the supporting column, the connecting rod and the limiting rod can be rapidly disassembled and assembled, so that the moisturizing cover body is more convenient to carry and store.