18 results about "Dead wood" patented technology

The invention discloses a forestry seedling culture data acquisition and analysis system, which relates to the technical field of data processing, and is characterized in that backscattered light of a seedling lignified tissue is acquired, an initial speckle interference video stream is generated, and after spatial image stabilization registration is performed on the initial speckle interference video stream, the speckle interference video stream is output; the correction module is used for obtaining a speckle interference video stream, extracting pixel time sequence gray information of the speckle interference video stream, mapping the pixel time sequence gray information into a time history speckle pattern, calculating a texture statistical characteristic value of the time history speckle pattern and outputting the texture statistical characteristic value as a first cell chaos degree index, and the compensation module is used for obtaining a metabolic rate compensation coefficient through a correction model. Temperature correction is conducted on the first cell chaos degree index according to the metabolic rate compensation coefficient, a second cell chaos degree index is output, the deviation degree of the second cell chaos degree index of the to-be-detected nursery stock and the dead wood reference value is calculated, the dormant state of the nursery stock is judged according to the deviation degree, and instant and accurate regulation and control over key nodes of seedling warehouse-out and recovery are achieved.

The present invention discloses a fire inspection drone with self-checking control, which relates to the technical field of drones and comprises a drone body; rotor assemblies are equidistantly arranged on all sides of the drone body; a control assembly is fixedly arranged at the bottom of the rotor assembly arm; and a mounting assembly is fixedly installed at the bottom of the drone body; a single controller is used to scan fire sources and centrally control the fire source, and a hook cable assembly is used to push out a sliding rod and a casting rod at high speed to remove bird nests, dead wood, or break windows to open roads; based on the temperature-controlled deformation of a memory alloy and a pneumatic-magnetic cooperative mechanism, automatic casting and continuous loading of fire extinguishing bombs are achieved; when encountering strong turbulence, a built-in ionic fluid cuts the static magnetic field of a first permanent magnet to generate Lorentz force damping, actively suppressing sudden changes in posture; and key parameters are monitored to ensure safety, integrating the four functions of detection, demolition, fire extinguishing, and stabilization into one.

The invention relates to the technical field of image detection, in particular to a forest vegetation detection method and system based on an unmanned aerial vehicle, and the method comprises the steps: obtaining an RGB image of a forest region in real time through the unmanned aerial vehicle, and carrying out the preprocessing; constructing a comprehensive feature index of an image block in the image, wherein the comprehensive feature index is used for representing a comprehensive feature expression condition of the image block under different illumination influences; adaptively setting a contrast limit threshold value of each image block according to the comprehensive feature index, and performing local enhancement by adopting a CLAHE algorithm; rotten and dead wood detection model training is carried out on the enhanced RGB image so as to identify rotten and dead wood in the RGB image acquired by the unmanned aerial vehicle; and deploying the trained model to the unmanned aerial vehicle for real-time detection and position feedback. According to the method, the image is effectively enhanced according to the distinguishing features of the decayed dead wood in different blocks and the background surface soil in the image, and the accuracy of subsequent forest vegetation detection and recognition is improved.

The application provides a pine dead wood recognition method, system and computer device based on aerial images, comprising: pre-processing aerial images to obtain a plurality of image blocks; inputting the plurality of image blocks into a backbone network for feature extraction to obtain a plurality of groups of multi-scale feature maps; simultaneously constructing positive contrast relationship and negative contrast relationship for each group of multi-scale feature maps to generate enhanced feature vectors; based on the enhanced feature vectors, obtaining known class confidence and unknown class exclusivity in parallel for the multi-scale candidate boxes generated for the corresponding image blocks; performing open set determination on the multi-scale candidate boxes according to the known class confidence and the unknown class exclusivity to determine each candidate box as a known class, background or unknown class; rejecting the candidate boxes determined as unknown classes and taking the remaining candidate boxes as effective candidate boxes; performing boundary box regression and non-maximum suppression on the effective candidate boxes to output the recognition result of the pine dead wood. The application does not increase unknown classes and recognizes pine dead wood to reduce false positives.

The utility model relates to a ship deadwood structure which comprises an outer frame, the outer frame comprises a first framework and a second framework, one end of the first framework is bent and arranged on an outer plate of a ship, the other end of the first framework is in smooth transition connection with one end of the second framework, and the other end of the second framework is bent and arranged on the outer plate of the ship; the upper portion and the lower portion of the outer frame are each provided with a sealing plate, one side of each sealing plate is connected with the outer frame, the other side of each sealing plate is connected with the outer plate, and a buoyancy cavity is defined between the outer plate and the outer frame. The sealing plate is of an integral plate structure, plug welding holes are formed in the surface of the sealing plate, and the sealing plate is connected with the outer plate through the plug welding technology. A traditional whole thick plate is replaced by the outer plate-frame combined design, and the whole plate sealing and plug welding processes are combined, so that weight reduction, welding optimization and buoyancy improvement are realized.

The application relates to the technical field of ecological restoration, and particularly discloses a method for rejuvenating degraded forest trees. The method comprises the following steps: S1, selecting a site; S2, processing dead trees; S3, soil remediation; S4, filling a pit for the first time; S5, planting seedlings; and S6, post-treatment. The method has the advantages of improving the survival rate of newly planted seedlings and enhancing the restoration effect of degraded forests.

The utility model relates to the field of water body aeration and oxygenation, and discloses a submersible pump type negative pressure pulse aeration cycler which comprises a shell, an aeration assembly is arranged in the shell; the aeration assembly comprises an aeration bin; the shell is fixedly connected with a filter screen; the two filter screens are symmetrically arranged at the two ends of the shell, aeration is carried out through the aeration assembly in the shell, oxygen is provided for water, impurities such as aquatic plants, dead wood and stones in the water are prevented from entering the shell in the aeration process, and the situation that the aeration assembly in the shell is damaged is avoided; the filter screens are additionally arranged at the two ends of the shell to intercept impurities such as aquatic plants, dead wood and pebbles in water and prevent the impurities such as the aquatic plants, the dead wood and the like from blocking the filter screens, the sliding blocks slide on the sliding rods on the fixing plates to drive the cleaning blocks to slide in the sliding grooves, and therefore the cleaning blocks clean the filter screens to prevent blocking.

The invention relates to the field of pest control, in particular to application and a method of allyl isothiocyanate in killing pine wood nematode disease on epidemic wood, and further, the epidemic wood is pine wood which is withered due to infection of the pine wood nematode disease. The allyl isothiocyanate recorded by the invention has a very strong fumigation effect on pine wood nematodes, can kill nematodes in infected withered and dead wood, and enables infected wood to be non-infected wood. Allyl isothiocyanate is a plant source component and is environmentally friendly, the medicament cost is very low, the medicament cost is 3 yuan or below per plant at the current market price, however, the retrieved pine value is 50-100 yuan or above per plant, and the popularization value is very high. Besides, the allyl isothiocyanate has extremely high volatility and can be quickly conducted in a withered pine trunk, generally, the allyl isothiocyanate can be conducted to all parts of the whole withered tree within about one month, and the problem that a common agent cannot be conducted in the withered tree is solved.

The utility model discloses a handheld dead standing tree decomposition measuring instrument, which comprises a measuring instrument main body and a measuring rod piece arranged on the measuring instrument main body, the measuring rod piece comprises a fixing pipe, a drill bit, a spring and a telescopic piece, the fixing pipe is arranged on the measuring instrument body, the drill bit is inserted into the fixing pipe, a limiting piece is arranged at the tail end of the drill bit, the drill bit is limited to the tail end of the fixing pipe through the limiting piece, the telescopic piece is arranged in the measuring instrument body, and one end of the telescopic piece extends into the fixing pipe. The spring sleeves the peripheral surface of the telescopic part, two ends of the spring are respectively connected with two ends of the telescopic part, and the spring is in a compressed state. By adopting the above arrangement, the elastic force can be adjusted so as to reduce the problem that the precision of the measuring instrument is reduced after long-term use, and the measuring instrument has the advantages of being simple and convenient to operate and convenient to carry.

The invention provides a forestry dead wood identification method and system based on image identification, and belongs to the technical field of image identification technology, and the method comprises the steps: carrying out the rough analysis and region division of a remote sensing region map, setting a frame splitting frequency for each sub-region, and splitting a region image to obtain a plurality of split frames; carrying out first point marking on the dead wood main body in each split frame and carrying out second point marking on the dead wood root to construct an initial form of a single tree; performing clustering analysis on the initial form of the individual tree according to threshold values in different directions, and constructing a length sequence based on the same clustering cluster point in each direction and each clustering cluster point in the other two directions to optimize the initial form of the individual tree; and according to the position sequence, all the current individual tree forms of the corresponding sub-regions are sequentially input into the pre-trained image recognition model to obtain dead wood recognition results of the corresponding sub-regions, so that accurate matching of actual growth forms of dead wood is facilitated, and the accuracy of dead wood recognition is improved.

The invention discloses an ecological restoration method for improving quality and efficiency of a declined artificial haloxylon ammodendron forest, and belongs to the technical field of desert vegetation restoration. According to the method, a comprehensive decline index is calculated by measuring multiple indexes such as the ratio of dead and dead trees in the haloxylon ammodendron forest, the canopy coverage loss rate of the haloxylon ammodendron forest, the shoot withering rate of the haloxylon ammodendron forest, the total vegetation coverage of the haloxylon ammodendron forest and the root exposure rate of the haloxylon ammodendron forest, and the haloxylon ammodendron forest is accurately divided into four grades of non-degradation, mild decline, moderate decline and severe decline. Then differentiated restoration is carried out according to different decline grades, wherein redundant branches are mainly pruned in light decline forests; thinning two-stage branches and cleaning secondary dead branches in the moderately declined forest; in the severe decline forest, stumping is carried out on the trunk withered plants. And the branches obtained by pruning or stumping are laid on the spot to form a sand barrier, so that resource recycling is realized. The problems that in the prior art, degradation grade division is fuzzy, repairing measures are homogenized, the cost for supplementing other sand barrier materials is high, and the environmental hidden danger is large are solved, precise diagnosis and targeted repairing of the declined haloxylon ammodendron forest are achieved, and the ecological function and stability of the forest stand are effectively improved.

The invention discloses a forestry pine wood nematode disease prevention and control method, system and device, and the method comprises the steps: obtaining forest remote sensing image data, carrying out the forest pest monitoring of the forest remote sensing image data, and obtaining a pest region; deploying an insect trapping device in the pest and disease area, and acquiring pest and disease image data based on the insect trapping device; constructing a multi-feature fusion model, and performing feature recognition on the disease and pest image data based on the multi-feature fusion model to obtain a monochamus alternatus probability vector; counting the occurrence frequency of the monochamus alternatus image based on the probability vector of the monochamus alternatus, and calculating the population density of the monochamus alternatus in the pest and disease damage area based on the occurrence frequency; and formulating a pine wood nematode disease prevention and control scheme according to the population density of monochamus alternatus in the pest and disease damage area. By means of the method, the population density of monochamus alternatus in the area can be accurately estimated, and diseased dead wood can be cleaned in a targeted mode. The method can be widely applied to the technical field of pest control.

The utility model discloses a debris cleaning device for a water conservancy drainage channel, which comprises a shovel handle, a shovel head is fixedly connected below the shovel handle, a driving mechanism is sleeved on the surface of the shovel handle, a reset mechanism is connected below the driving mechanism, and a connecting mechanism is fixedly connected on the surface of the driving mechanism. And a cleaning mechanism is connected below the connecting mechanism. The shovel head can clean a drainage channel by grabbing the shovel handle, meanwhile, the cleaning rake is fixedly installed on the outer side of the driving mechanism through the fixing column and the driving rod, dead wood such as aquatic plants or branches can be treated through the cleaning rake conveniently when encountering the dead wood, and the cleaning effect of the shovel head is improved.

The invention relates to the technical field of farmland sewage treatment, in particular to a farmland sewage ecological interception ditch which comprises a ditch base body, an interception frame is fixedly installed at the end of the ditch base body, an interception net is fixedly installed in the interception frame, and a treatment groove is formed in the ditch base body; the device further comprises a shifting module, the shifting module comprises an electric push rod fixedly installed at the top of the intercepting frame, a sliding frame is fixedly installed on an output shaft of the electric push rod, the sliding frame can be driven to move by starting the electric push rod, the sliding frame is in a V shape, the outward extending half of the sliding frame is a one-way turning plate, and the sliding frame is in a V shape when moving towards the processing groove. According to the device, sundries can be collected and conveyed into the treatment groove, the sundry treatment efficiency is improved, a first gear can be driven to rotate when a first rack moves, a guide wheel can be driven to rotate when the first gear rotates, dead wood sundries can be broken through cooperation with a breaking rod, and the situation that dead wood is too long and the sundries are blocked is reduced.

The invention provides a pine, dead and dead wood identification method and system based on an aerial image and computer equipment. The method comprises the following steps: preprocessing the aerial image to obtain a plurality of image blocks; inputting the plurality of image blocks into a backbone network for feature extraction to obtain a plurality of groups of multi-scale feature maps; simultaneously constructing a positive contrast relationship and a negative contrast relationship for each group of multi-scale feature maps to generate an enhanced feature vector; on the basis of the enhanced feature vectors, obtaining known class confidence and unknown class rejection in parallel for multi-scale candidate frames generated by corresponding image blocks; performing open set judgment on the multi-scale candidate frames according to known class confidence and unknown class rejection, so as to judge each candidate frame as a known class, a background or an unknown class; rejecting the candidate frames which are judged to be unknown classes, and taking the remaining candidate frames as effective candidate frames; and performing bounding box regression and non-maximum suppression on the effective candidate box, and outputting an identification result of the pine, withered and dead wood. According to the method, unknown classes are not added, and pine, dead and dead wood are identified to reduce false alarms.

The application discloses an improved Yolov5 dead wood detection method combined with a defogging algorithm, and the method comprises the following steps: collecting a forest tree orthographic image by a UAV aerial photography, performing preliminary screening through an edge computing platform, inputting image data into an improved YOLOv5 model, and detecting dead wood; wherein the improved Yolov5 model organically combines an MSCNNHE defogging algorithm, breaks the previous defogging as a preprocessing process, organically combines a defogging network and a target detection network, fuses the defogging algorithm into part of the target detection model through an intermediate layer information communication and a joint training fine-tuning method, and thus improves the detection effect and detection speed of the target detection model on a foggy image. The application organically combines the target detection model and the defogging algorithm network, so that the target detection model can still maintain relatively high target detection precision when facing a foggy image.