80results about "Wood testing" patented technology

A system for characterization of lumber is presented. The system includes a computing module having processor that generates a first fiducial to be printed on the lumber. The system includes an applicator module having a first printer that prints the first fiducial onto the lumber. The system includes a vision module having a camera that captures the first fiducial as printed on the lumber. The processor of the computing module determines lumber information based on a print distortion of the first fiducial as printed on the lumber. The first printer of the applicator module prints a label including the lumber information onto the lumber.

A system (100A) to track logs in a wood processing chain, includes a database arrangement (102) that includes pre-recorded image of a given log, wherein the given log is associated with log identification information. The system further includes a plurality of imaging devices implemented at a sorting station. The plurality of imaging devices (104) is configured to capture a first set of images from at least a first prespecified oblique angle. The system further includes a data processing arrangement (106) that is configured to: identify the given log at the sorting station; compare the at least one pre-recorded image with the captured first set of images at the sorting station in order to find an optimum image from the compared images for identification of the given log; determine a plurality of physical characteristics; and append the log identification information with the determined physical characteristics of the given log.

A calibration method of an analysis instrument (1) for analysing the direction of wood fibres of a piece of wood operating by detecting structured light scattering, wherein a calibration sample (3) is used having a working surface (5) and comprising fibres (17) which can be at least partly illuminated with structured light at the working surface, and wherein a detecting step is carried out, in which a detected trend of the fibres is detected, and a processing step is carried out in which said detected trend of the fibres is processed, and wherein moreover the calibration sample used has the working surface constituted of a composite material (13), which is an anisotropic light diffusion material and which comprises a matrix (15) and said fibres, which are dispersed in the matrix and which have a known trend of the fibres at the working surface.

A drilling needle includes a needle head at one end of a needle shank. The needle head has a flattened wedge portion with two wedge faces and a cutter portion with two cutting faces, which each adjoin one of the wedge faces and adjoin one another at a top edge that runs at a right angle to an axis of rotation. The needle head has on each side a relief face, which forms a cutting edge with each of the cutting faces. The cutting edge forms, with the respective other one of the cutting faces, a secondary edge that trails with respect to the direction of rotation. A relief angle, spanned by a virtual straight line through the cutting edge corner and a secondary edge and a plane that extends perpendicular to the top edge in the axis of rotation, lies in a range from 6° to 10°.

A computer-implemented method comprising: receiving, as input, spectral image data acquired with respect to a unit of tomato; calculating, from the spectral image data, spectral reflectance values associated with the unit of tomato in at least one specified combination of spectral bands; deriving, from the spectral reflectance values, a normalized difference spectral index (NDSI) value; and determining, based on the NDSI value, a value of at least one specified quality parameter associated with the unit of tomato.

A computer-implemented method for predicting a real strength grade which a known grading device (7) will assign to a real wooden board (2) not yet cut from a log (6), comprising a virtual cutting step of a three-dimensional virtual model (1) of the log (6) to obtain a virtual board (4), an assigning step, during which surface and / or internal characteristics are added to the virtual board (4), a virtual grading step, during which a virtual strength grade which the known grading device (7) would assign to the virtual board (4) is estimated, a predicting step, during which it is assumed that the real strength grade, which the known grading device (7) will assign to the real wooden board (2), corresponds to the virtual strength grade estimated in the virtual grading step.

The application relates to the technical field of formaldehyde release detection equipment, in particular to a building board formaldehyde environment cabin, which comprises an environment cabin body, a formaldehyde analyzer body, a limiting plate, a heating chamber, a gas conveying pipeline, a rotary clamping assembly and a lifting balance assembly. The output end of the formaldehyde analyzer body penetrates through the top inner wall of the environment cabin body and is closely combined with the inner surface of the environment cabin body. The lifting balance assembly is installed below the rotary clamping assembly. The building board formaldehyde environment cabin of the application makes the board slowly rotate in the detection process through the rotary clamping assembly, avoids unilateral heating, eliminates the local high-temperature area and low-temperature area caused by traditional fixed placement, makes the board as a whole heat more evenly, reduces the moisture migration and stress cracking caused by the temperature gradient, ensures the stability of the formaldehyde release path, prevents the hot air from directly blowing on a certain point to cause the sudden drop of the local moisture content of the board, and thus maintains the stable formaldehyde diffusion rate.

The invention discloses a wood test piece drying characteristic detection system which comprises a base plate, one end of the top of the base plate is fixedly connected with a drying box, the top end of the interior of the drying box is fixedly connected with an electric heating wire, the interior of the drying box is provided with a heat preservation assembly, and the heat preservation assembly is used for maintaining the temperature in the drying box; the supporting frame is fixedly connected to one side of the base plate, a detection assembly is assembled at the top end of the supporting frame, and the detection assembly obtains the length, width, thickness, weight, water content and surface defect data of the wood test piece; and the transfer assembly is assembled between the drying box and the detection assembly. Through the arrangement of the transfer assembly, the wood test piece can be automatically transferred between the drying box and the detection assembly, the switching time consumption of the wood test piece drying procedure and the detection procedure is effectively shortened, the wood test piece drying characteristic detection is more efficient and accurate, and meanwhile, the personnel investment is reduced.

The invention discloses a man-made forest stand structure and function integrated monitoring system and method based on multi-source data fusion in the technical field of man-made forest monitoring, and the system comprises a movable ground monitoring box, one side of which is provided with a gap groove for accommodating single trees; the unmanned aerial vehicle is used for carrying out multi-view observation on a single tree crown; the two parking platforms are symmetrically distributed on the ground monitoring box, located on the two sides of the notch groove and used for allowing the unmanned aerial vehicle to take off and land, and the unmanned aerial vehicle takes off from one parking platform and flies around the single tree along a preset flight path in the vertical plane so as to collect stand structure data of the bottom, the top and the side of the crown of the single tree. According to the system, multi-source data acquisition is achieved through the unmanned aerial vehicle and the ground monitoring assembly, the parking platform and the ground monitoring assembly are driven to synchronously and accurately rotate through the orientation conversion mechanism, unmanned aerial vehicle multi-path canopy collection and ground circumferential all-dimensional measurement are achieved, and the integrity of canopy structure data and the three-dimensional reconstruction precision are remarkably improved.

This invention relates to a process for the division of an individual input source log into discrete longitudinal lengths for subsequent processing. The process comprises receiving an individual input source log, dividing the input source log into one or a plurality of output log portions of a predetermined length, wherein at least a portion of said output log portions resultant from said division are of a substantially equal or substantially constant or consistent longitudinal length, and wherein said substantially equal or substantially constant or consistent longitudinal length output log portions are procured as a feed stream of log material for a subsequent processing step. This process provides for the processing of logs and subsequent assembly into an end product formed from a composite of sticks derived from said processed logs.

Holes H1, H2, and H3 are detected in a continuous veneer 101B; the length of the veneer formed through peeling by one rotation in each round of a log is calculated as veneer lengths L1, L2, and L3 per round; the shapes of the detected holes obtained in specific rounds are aligned with positions after one rotation that are shifted to an upstream side in a transfer direction by the veneer lengths per round, respectively; and it is estimated that insufficient-thickness portions T2, T3, and T4, which are formed as a recessed portion having an inclination on a surface layer portion of the log is cut, may be included in regions defined by the aligned shapes of the holes obtained in the specific rounds. Accordingly, it is possible to estimate regions that may include the insufficient-thickness portions T2, T3, and T4, which cannot be easily determined by a method of observing a difference in color of reflected light or a captured image.

The invention relates to the technical field of building structure health monitoring, and discloses an ancient building and pseudo-classic building big wood component disease diagnosis method comprising the following steps: carrying out multi-modal baseline representation on a big wood component to calibrate a disease high-risk area; executing a preset environmental stress test protocol for the region; environment stress data and metabolic gas concentration serving as metabolic feedback data are synchronously collected; extracting instantaneous dynamic characteristics based on the collected data, and constructing a stress-feedback fingerprint representing a response mode of the instantaneous dynamic characteristics; training a disease development prediction model based on the fingerprints, and constructing a response surface model to invert an environmental critical point triggering disease activity; and finally, in combination with a prediction result and the critical point, generating a comprehensive diagnosis report and defining a safe operation envelope for guiding preventive maintenance. According to the invention, through active stress testing and metabolic fingerprint analysis, early quantitative diagnosis of diseases in the incubation period is realized, and an accurate quantitative basis is provided for preventive microenvironment regulation and control.

A device has an guide plate (11) disposed under an upper beam (7) of a support structure (2) above the transport assembly (3); a hammer assembly (9) with at least one row of vertical hammer rods (10) loosely seated in the guide plate (11); actuators (8) for displacing the vertical hammer rods (10); retaining elements (12) shaped on the vertical hammer rods (10); a brush cleaning assembly (13) disposed downstream of the hammer assembly (9) in the direction of displacement of the machined wooden boards (6), and a pneumatic cleaning assembly (14) disposed downstream of the brush cleaning assembly (13) in the direction of displacement of the machined wooden boards (6). The actuators (8) displacing the vertical hammer rods (10) are connected on one side to the guide plate (11) and on the other side to the upper beam (7) of the support structure (2), wherein the vertical hammer rods (10) loosely seated in the guide plate (11) openings (28) have the retaining elements (12) for contacting the guide plate (11). Surface and deep defects in the wooden boards (6) are removed by lifting the guide plate (11) together with the vertical hammer rods (10), and then lowering this guide plate (11), allowing the vertical hammer rods (10) loosely seated therein to fall gravitationally and causing surface and deep impact contact with the machined wooden boards (6).

Method and apparatus (10) for controlling a modification process of hygroscopic material (15) comprising method steps of: measuring at least one process variable from the modification process at least during the modification; measuring at least one process variable from the hygroscopic material at least during the modification; calculating at least one intermediate control parameter by a neural network busing at least the measured process variables as input parameters of the neural network; and controlling the modification process by using genetic algorithms and genetic programming based on the said at least one intermediate control parameter determined by the neural network.

The utility model belongs to the technical field of wood detection equipment, particularly relates to a wood moisture detection device, and aims to solve the problems that the labor intensity is high when a wood moisture detector is manually operated, the precision is insufficient when external equipment is driven, thin wood is easy to penetrate through and the like in the prior art. Two supporting plates are fixedly mounted at the top of the supporting seat, a same top plate is fixedly mounted between the two supporting plates, and the top plate is close to the ends, away from the supporting seat, of the two supporting plates; the wood moisture detection device further comprises a wood moisture detector which is located between the supporting base and the top plate, the wood moisture detection device achieves automatic lifting through the lifting assembly, a detection probe can be accurately inserted, and the detection accuracy is improved; the clamping assembly stably clamps the wood, and it is ensured that the detection stability is good; the positioning assembly is matched with the scale rod, the insertion depth of the detection probe is effectively controlled, and the situation that the detection result is inaccurate due to the fact that the detection probe penetrates through wood is avoided.

Method for producing a urea-formaldehyde glue, wherein raw materials of the glue are combined in a reactor (1), wherein these raw materials at least comprise a urea-formaldehyde concentrate, wherein formaldehyde / urea molar ratios of the urea-formaldehyde concentrate are determined on the basis of NIR measurements and at least one calibration model, and wherein the raw materials are dosed into the reactor (1) on the basis of said formaldehyde / urea molar ratios of the urea-formaldehyde concentrate.

The invention discloses a hardwood pyrolysis gas product analysis method and system. The method comprises the following steps: S1, carrying out a thermogravimetric-infrared spectroscopy instrument experiment on a typical hardwood material, collecting and processing data, and determining peak temperatures of three components (hemicellulose, cellulose and lignin) according to a K-K method; s2, determining a specific pyrolysis temperature range of each component by using a double-Gaussian function; s3, dividing temperature regions of the pyrolysis gas product of each component, including an overlapping region and a non-overlapping region, and performing curve area integration on each region; and S4, calculating the corresponding gas yield in each component, performing data separation, and comparing and observing the corresponding relation of hemicellulose, cellulose and lignin gas products. According to the method, the limitation of the prior art on general analysis of biomass pyrolysis is broken through, accurate tracking and quantification of release behaviors of the three main component gases are realized, and key data support is provided for optimizing a pyrolysis process.

To enable reliable quality inspection and high timber yield when processing a tree trunk, and to minimize metrological labor at the same time SOLUTION: A method for detecting timber defects and timber defect characteristics when processing a tree trunk, comprising the following method steps: A) performing a profile measurement of the tree trunk (1); Determining a trunk geometry of the tree trunk, B) carrying out a separation processing of the tree trunk (1) with formation of a processing surface (8) along a trunk axis of the tree trunk (1), C) carrying out an imaging inspection of the separated tree trunk (1) at least at the processing surface (8) and determining at least one inspection image (14), D) Spatially resolved determination of timber defects (10) and / or timber defect properties in the separately processed tree trunk as a function of the inspection image (14) according to method step C) and the trunk geometry according to method step A).SELECTED DRAWING: Figure 3

The utility model relates to timber detection technical field, and disclose a kind of unmanned defect scanner for wood processing, including main part, the upper surface of main part is fixedly connected with two vertical boards, two The vertical board between being provided with lifting plate, the downside of lifting plate is provided with mounting plate, the lower surface of mounting plate is fixedly installed with scanner body, the downside of lifting plate is provided with two protective cover, through the cooperation between chute, vertical groove, round bar, first motor, first threaded rod, fixed block and lifting plate etc. Structure, the process that lifting plate is descended to detection area, two protective cover will be automatically opened, to facilitate subsequent scanner body to wood defect detection, when driving scanner reset, two sides protective cover are automatically closed, form the protection of scanner, effectively avoid the knock or scratch of scanner, greatly improve the security of scanner, ensure the precision and efficiency of subsequent detection.

The present invention relates to a measurement method for determining the amount of organic constituents in a wood ash, the method comprising the steps of: - providing ash samples, each having different quantitatively defined amounts of organic material, as reference samples; - recording at least one NIR spectrum of each of the reference samples using at least one NIR measurement head in a wavelength range between 1300 nm and 1800 nm, preferably between 1400 nm and 1650 nm; - assigning the different quantitatively defined amounts of organic material in the reference samples to the recorded NIR spectra of said reference samples; and - generating a calibration model for the correlation between the spectral data of the NIR spectra and the corresponding quantitatively defined amounts of organic material in the reference samples by means of multivariate data analysis; - providing at least one ash sample to be measured having an unknown amount of organic material; - recording at least one NIR spectrum of the provided ash sample using the at least one NIR measurement head in a wavelength range between 1300 nm and 1800 nm, preferably between 1400 nm and 1650 nm; and - determining the quantitative amount of organic material in the ash sample to be measured by comparing the NIR spectrum recorded for the ash sample to be measured with the calibration model generated from the reference samples.

The invention provides a wood carbon content rapid detection method based on infrared spectrum and machine learning. The wood carbon content rapid detection method comprises the following steps: (1) acquiring infrared spectrum characteristic data of a wood sample; (2) acquiring a carbon content value of the wood sample by utilizing an element analysis technology; (3) carrying out spectrum pretreatment on the wood sample spectrum; (4) combining spectral features with a machine learning modeling technology to construct a wood carbon content rapid detection model; and (5) rapidly detecting the carbon content of the wood to be detected. The method is simple in process, the detection period is remarkably shortened, the numerical value is accurate, and the method can be widely applied to the field of rapid detection of the wood carbon content.

Provided are methods of detecting a living target organism, for example, living Bursaphelenchus xylophilus, from an environmental nucleic acid sample by detecting a rapid kill RNA marker of the target organism. Also provided are primers and probes specific to rapid kill RNA markers, and kits including primers and probes that are useful for detecting rapid kill RNA markers.

The invention relates to a non-destructive measuring method for determining the amount of a formaldehyde-free binder applied to wood particles in an online manner in a production system for producing wood panels, the measuring method comprises the following steps: applying at least one formaldehyde-free binder to a respective sample made of wood particles as a reference sample in different quantificationally defined amounts, and spreading the reference sample onto a conveyor belt; recording at least one NIR spectrum of each of the reference samples spread onto the transport belt in a wavelength range of between 1000 nm and 2500 nm, preferably between 1350 nm and 2500 nm, using at least one NIR measuring head; correlating different quantified amounts of formaldehyde-free binder of the reference sample dispensed onto the conveyor belt with the recorded NIR spectrum of the mentioned reference sample; and creating a calibration model for the association between the spectral data of the NIR spectrum and the affiliated quantitative amount of formaldehyde-free binder of the reference sample dispensed onto the conveyor belt by means of multivariate data analysis; applying at least one formaldehyde-free binder to the wood particles (as a sample to be measured) and spreading the wood particles provided with the formaldehyde-free binder onto a conveyor belt; recording, using at least one NIR measuring head, at least one NIR spectrum of the wood particles provided with the formaldehyde-free binder and spread onto the conveyor belt in a wavelength range between 1000 nm and 2500 nm, preferably between 1350 nm and 2500 nm; and determining a quantitative amount of formaldehyde-free binder applied to the wood particles spread onto the conveyor belt by comparing the recorded NIR spectrum for the wood particles provided with the binder with the created calibration model.

An ion molecule reactor for generating analyte ions from analytes comprises:a) a reaction volume in which reagent ions can interact with the analytes in order to form analyte ions;b) at least one analyte inlet for introducing the analytes along an inlet path into the reaction volume whereby, preferably, the inlet path runs essentially along at least a first section of the predefined transit path in the reaction volume;c) at least one reagent ion source and / or at least one reagent ion inlet for providing reagent ions into the reaction volume;d) optionally, at least one ion guide comprising an electrode arrangement which is configured for producing an alternating electrical, magnetic and / or electromagnetic field, that allows for guiding the reagent ions and / or the analyte ions at least along a section of the predefined transit path, preferably along the whole transit path, through the reaction volume.

The invention relates to the technical field of formaldehyde detection, and discloses a biomass plate formaldehyde theoretical bearing rate detection method, device, equipment and medium, and the method comprises the following steps: obtaining time sequence formaldehyde concentration data in a test cabin provided with a closed environment of a plate sample; predicting according to the time sequence formaldehyde concentration data to obtain a concentration stable value of formaldehyde release; the theoretical bearing rate of the board is calculated according to the concentration stable value and the air quality standard limit value of formaldehyde, the technical blank from the environmental protection grade of a single board to the overall air quality safety of the space is filled up, and a scientific quantitative basis is provided for green decoration design and material consumption.

An automated inline rip saw system utilizing x-ray and optical scanning techniques to identify and detect flaws within a piece of wood. The present system may further utilize a precision skewing unit which may reduce or eliminate errors while allowing for precision rip cuts to be performed. Further, the present automated inline rip saw system may utilize multiple independently controlled saw blades to perform precision cuts. Finally, the present inline rip saw system may allow for more accurate detection of flaws or undesirable inclusions within the wood earlier in the wood production process, including the ability to scan for, identify, and remove sap wood from green lumber.

The present disclosure presents a method for determining the bark content in woodchips and an arrangement implementing the method. The method comprises the steps of spreading chip pieces (21) of the woodchips onto a conveyor (20) such that the chip pieces (21) are separate from each other and imaging the top sides of the chip pieces (10) carried on the conveyor (20) using a first camera (22) to detect bark on the top side. The bottom sides of chip pieces (21) falling of the end of the conveyor (21) are imaged using a second camera (23) to detect bark on the bottom side of the chip pieces (21) and the image information produced by the first and the second camera (23) is combined to chip-piece- specific identification information, such that bark potentially present on the top and bottom sides of the chip pieces (21) is identified for each chip individually. The total bark content in the woodchips is estimated based on this identification information

The invention relates to a further developed supply system for applying different, application-specific, temporary surface functional coatings during the processing of workpieces by means of spraying through several pneumatic two-component nozzles (14) attachable to a processing machine (10), the nozzles having nozzle bodies which are fed by a reservoir which is filled or can be filled with the surface functional coating, and a pressurized gas source which can be connected to the two-component nozzles (14) in order to convey the surface functional coating and apply it to the respective workpiece (11) and / or the respective processing machine (10) or parts thereof.According to the invention, the storage vessel is designed as a mixing vessel (1) which is controlled in connection with a plurality of component vessels, such that, according to a predetermined program selection, ingredients from the component vessels can be transferred into the mixing vessel (1), whereby the two-component nozzles (14) are supplied from the mixing vessel (1).