31 results about "Fracture line" patented technology

The invention relates to the technical field of medical image diagnosis, and discloses a tooth and fracture line recognition treatment method based on the combination of an AI technology and a CBCT image, and the method comprises the steps: obtaining and preprocessing the CBCT image, and carrying out the multi-scale analysis and recognition of a tooth structure, a microcrack and a fracture line through a first AI model. And the second AI model combines the identification result and the patient characteristics, and generates a personalized treatment scheme through multi-objective optimization. Clinical feedback is used for continuously iteratively optimizing double models, and the diagnosis and treatment precision and effect are improved. The system comprises an image data acquisition unit, an image data preprocessing unit, a tooth and fracture line identification unit, a personalized treatment scheme generation unit and a feedback and optimization unit. Through AI and CBCT image fusion, accurate identification of teeth and fracture lines is realized, a personalized treatment scheme is recommended in combination with individual features of a patient and a multi-objective optimization algorithm, rapid response is realized, a closed-loop feedback mechanism continuous optimization model is established, and diagnosis and treatment precision, efficiency and individualization level are remarkably improved.

The invention relates to the technical field of orthopedic surgery, and discloses an orthopedic surgery real-time navigation system based on multi-modal image fusion and artificial intelligence. The multi-modal image fusion module is used for generating a three-dimensional skeleton and soft tissue fusion model for surgical navigation; the artificial intelligence analysis module is used for determining a fracture line, a screw implantation angle and a cutting track; the intraoperative tracking module is used for generating a real-time correction instruction; the verification updating module is used for carrying out rationality verification on the real-time correction instruction; if the inspection is not passed, an alarm mechanism is triggered, instantaneous motion state parameters of the surgical instrument are collected, the instantaneous motion state parameters are compared with the cutting track, and the correction instruction is updated according to the comparison result; and the execution module is used for driving the surgical instrument to execute the surgical operation according to the updating correction instruction. According to the invention, manual operation errors can be effectively reduced.

The application discloses a method, device and storage medium for determining a growth stage of strike-slip structure, and the method comprises the following steps: obtaining a planar image of a fracture structure pattern of a region, and determining a straight line corresponding to each fracture line in the planar image; determining an included angle between adjacent straight lines, and determining a standard deviation of the included angles according to the included angles, wherein the included angle is an acute angle; and determining a growth stage of the strike-slip structure of the region according to the standard deviation of the included angles. The application discloses a method for determining a growth stage of strike-slip structure in a unified and objective manner.

A femoral intertrochanteric fracture opening system is characterized by comprising a sleeve, a hollow sleeve core and a hollow trephine, an impact portion is arranged at one end of the sleeve, a plurality of sawteeth are arranged on the outer ring of the end of the other end of the sleeve, the inner diameter of the sleeve is the same as the outer diameter of the hollow sleeve core, a center hole is formed in the center of the hollow sleeve core, and the hollow trephine is arranged in the center hole. The sleeve is limited and fixed through the hollow sleeve core, and the hollow trephine is limited through the sleeve and the positioning guide pin, so that the accuracy of the opening position is ensured; according to the utility model, the trephine is used for opening, the force is uniform when the trephine is used for opening, and the outer surface of the trephine does not have the situation that the size of the outer surface of a conical drill is always changed, so that the situation that bone blocks on two sides of a fracture line are extruded in the opening process is avoided, and the serious defect that the bone can be extruded open by a traditional drill bit is overcome.

The application provides a microseismic monitoring rock burst working face overburden fracture line position intelligent identification method, and relates to the technical field of rock burst. After normal mining of the working face, the inclination length of the whole working face is selected as a statistical interval, and a "unit length" is determined. Then, a fitting curve of the working face overburden fracture line is determined, the microseismic event cumulative frequency and cumulative energy of the microseismic event in the inclination dimension during the working face advancing and mining process are determined, and then the microseismic cumulative frequency curve and cumulative energy curve of the working face inclination dimension are determined. Then, a working face overburden fracture line position prediction model is established. Finally, the working face overburden fracture line position prediction model is used to predict the overburden fracture line position of the new working face. The method combines the working face overburden fracture height with the frequency and energy of the microseismic signal, quantitatively characterizes the working face overburden fracture height, and determines the rock burst working face overburden fracture line position.

The invention discloses an intramedullary nail for outer side wall smashing type femoral intertrochanteric fracture, and belongs to the field of medical instruments, the intramedullary nail comprises a main nail, the main nail is connected with a tension bolt through a duct adjusting mechanism, and the main nail is provided with a lock nail; the hole channel adjusting mechanism is arranged on the main screw and used for adjusting the neck-shaft angle of the lag screw, the hole channel adjusting mechanism adjusts and changes the installation angle of the lag screw on the main screw through the structure of the hole channel adjusting mechanism, and then adjustment of the neck-shaft angle of the lag screw is achieved. The lag screw can cross the outer side wall to crush a fracture line, the problem of supporting failure caused by the fact that the screw penetrates through the fracture line in traditional fixation is avoided, meanwhile, the tip end of the lag screw is more accurately embedded into a main pressure bone small beam column (PCS) at the proximal end of the femur, and the holding force of the screw to the femoral head is improved; the main nail and the femoral shaft are tightly fixed through transverse locking, and rotation and axial displacement of the main nail in the medullary cavity are limited.

The invention discloses a rib fracture CT image intelligent detection system based on deep learning. The system comprises a rib CT image acquisition module, a tissue adaptive progressive enhancement module, a density threshold dynamic adjustment module, a CT perception loss constraint module, a rib CT image detection model design module and a rib fracture CT image detection module. The invention belongs to the field of image processing, and particularly relates to a rib fracture CT image intelligent detection system based on deep learning. According to the scheme, a tissue self-adaptive progressive enhancement mechanism is designed, fracture line features are gradually enhanced, and overexposure caused by single-time strong enhancement is avoided; a density threshold value dynamic adjusting mechanism is designed, and the density difference between the fine fracture and the cancellous bone is further expanded; by designing a bone tissue feature enhancement activation function, insufficient rib CT feature response is avoided; solving skewed distribution of rib fracture data based on skewed feature equilibrium loss design; and the final rib fracture CT image detection effect is improved.

The invention relates to a method for processing a component (1) which has at least one through-opening (2) for receiving a further component (3). In a process step, at least one fracture joint is created in the component (2), so that at least two fracture surfaces (7a, 7b) are produced in the component (1). The invention proposes that the fracture separation is carried out in such a way that the component (2) remains a single component even after the fracture separation. The invention further relates to a component which can be manufactured by the method and to a motor vehicle with at least one such component.

The application provides a femur implant biomechanics test assembly method, and belongs to the technical field of bone implant tests, and comprises the following steps: fixing a sawbone bone by using a fixing mechanism, establishing a coordinate and adjusting the position of the sawbone bone according to the coordinate, simulating implantation of a bone plate and a screw by using software, drilling a hole according to a simulation result, fixing the bone plate and the screw, cutting a fracture line on the sawbone bone by using a cutting mechanism, and embedding and treating the sawbone bone by using a dental base powder after implantation of the bone implant is completed, so that an embedding tool is connected to both ends of the sawbone bone, and the assembly is completed. The application calibrates the position of a three-dimensional model and a real object by using a coordinate point, and reversely pushes the screw and the bone plate to an assembly position by using the three-dimensional model, so that the difference between a real assembly structure and a three-dimensional model assembly structure can be greatly reduced, errors caused by manual assembly can be avoided, and the rigor of biomechanics tests can be improved.

The invention relates to an automatic detection method for child mandible fracture based on multi-scale feature optimization. The automatic detection method comprises the following steps: 1, constructing a model; 2, data preparation and preprocessing; step 3, training optimization; 4, performing model evaluation; according to the method, the significance of the fracture line is enhanced through multi-layer feature fusion, the detection precision under small targets and complex scenes is improved, false detection and missing detection are reduced, and an efficient and reliable auxiliary diagnosis tool is provided for clinic.

Hydrocarbon reservoir development that includes determining, based on fracture data, a two-dimensional (2D) fracture model including fracture lines representing locations of fractures in the reservoir, determining, based on the lines, a fracture density index (FDI) map including FDI values for cells representing the reservoir, including, for each cell, determining a FDI value based on proximity to the fracture lines, determining a circulation loss (CL) map including CL values for the cells, including, for each cell, determining a CL value based on proximity of the cell to locations of circulation loss events in the hydrocarbon reservoir, determining, based on the FDI map and the CL map, a correlation of FDI to CL for the reservoir, and drilling a hydrocarbon well based on the correlation.

The utility model discloses a double-layer easy-to-tear packing box which comprises a top piece, a first side piece, a bottom piece and a second side piece, a first end piece and a second end piece are arranged at the two ends of the top piece, and the first side piece, the second side piece, the top piece, the bottom piece, the first end piece and the second end piece are matched together to form a box body. The top piece and the first side piece are provided with a first easy-to-tear fracture line, the first easy-to-tear fracture line is a half-square-shaped first easy-to-tear fracture line, one end of the covering piece is provided with a fracture piece, the other end of the covering piece is connected with the second side piece, and the second side piece is provided with a second easy-to-tear fracture line. And a partial area of the fracture piece is bonded and matched with the second side piece. Compared with the prior art, the packaging box has the advantages that the inner easy-to-tear layer is formed by the top piece and the first easy-to-tear line on the first side piece, the outer easy-to-tear layer is formed by the covering piece and the breaking piece, only when the inner easy-to-tear layer and the outer easy-to-tear layer are torn, the whole packaging box can be in a torn state, and reliability is higher.

The invention provides an osteotomy and reduction planning method for old maxillofacial fracture, a surgical robot system, electronic equipment and a storage medium, S1, scanning to obtain maxillofacial medical image data and dental arch scanning data on both sides of a target human body, and identifying to generate a 3D skeleton model and a callus model; s2, on the basis of the 3D skeleton model and the callus model, the fracture line position of the maxillofacial region of the target human body is inferred through callus influence factors and a machine learning algorithm, and an osteotomy line model is generated; s3, based on the callus model and the osteotomy line model, simulating and planning a callus removal area, a removal path and a removal depth; and S4, based on the maxillofacial region skeleton segment model after the target human body simulates osteotomy, the healthy side maxillofacial region medical image data and the dental arch scanning data, generating a skeleton reduction path through a multi-target optimization algorithm. Therefore, the functions of medical image data identification and analysis, automatic surgical plan generation, robot-assisted surgery and the like based on the artificial intelligence technology are realized.

The utility model provides a rolling piece capable of blocking the inner extension of a cut crack, which is characterized in that a blocking line is additionally arranged at the cut position of the rolling piece to solve the problem that the tear generated by cutting extends inwards. The rolling part is in a shape like a Chinese character'ri 'or a shape B formed by rolling a steel belt, and the section of the rolling part is in a shape like a Chinese character'ri' or a shape B. A cross beam is arranged in the middle of the rolling part. A first process cut-off hole, a second process cut-off hole and a third process cut-off hole are respectively formed in the middle of the left side wall of the rolling part, the middle of the cross beam and the middle of the right side wall of the rolling part, and the first process cut-off hole, the second process cut-off hole and the third process cut-off hole are positioned at the same horizontal position; blocking lines are further arranged, each blocking line is in a concave groove shape, and the blocking lines are located at the corners where the cross beam is connected with the upper side wall and the lower side wall and symmetrically distributed on the front side and the rear side of the second process cutting hole. According to the rolling part capable of blocking and cutting off the inner extension of the crack, the thickness of the plate of the rolling part is t, and the depth of the blocking line is 0.3-0.8 t.

The invention discloses a fracture X-ray film AI auxiliary diagnosis system. The system adopts a deep learning architecture based on a convolutional neural network, and comprises an image preprocessing module, a deep learning recognition module, a diagnosis result output module and a user interaction interface module. The image preprocessing module carries out de-noising processing by combining adaptive median filtering with a bilateral filtering technology, and an improved Canny edge detector is combined with a deep learning edge enhancement network to identify skeleton features. The deep learning recognition module constructs a feature extraction network based on a ResNet-50 pre-training model, and adopts a weighted cross entropy loss function and an Adam optimizer for training. And the diagnosis result output module generates a visual fracture line label by applying a gradient weighted class activation mapping technology, and automatically generates a structured report containing fracture types, severity evaluation and diagnosis and treatment suggestions. The system supports DICOM and JPG format image input, the diagnosis accuracy reaches 78%-80%, and the fracture diagnosis efficiency and accuracy are remarkably improved.

The periarticular fracture reduction forceps comprise a straight-head forceps body and an elbow forceps body which are hinged and assembled in a crossed mode, and the forceps head part of the straight-head forceps body comprises a first straight rod part and a straight forceps tip which is located at the front end of the first straight rod part and inclines towards one side of the first straight rod part; the plier head part of the bent plier body comprises a second straight rod part and a hook plier tip which is positioned at the front end of the second straight rod part, inclines towards one side and is bent inwards; and the inclined directions of the straight plier tip and the hook plier tip are the same. According to the point type reduction forceps, a displaced fracture block can be firmly clamped, the fracture block is pressurized in the direction perpendicular to a fracture line, placement of an implant is facilitated, accurate reduction and firm fixation of the fracture position are guaranteed, and compared with existing point type reduction forceps, the point type reduction forceps are more convenient and reliable to use.

The invention discloses an intertrochanteric fracture navigation method and system, and relates to the technical field of intertrochanteric fracture navigation. The intertrochanteric fracture navigation method comprises the following steps: acquiring medical image data of a side hip joint area, and constructing a three-dimensional digital model; identifying a fracture line and a plurality of key bone anatomical mark points in the three-dimensional digital model; marking a near-end head and neck fracture block and a far-end backbone fracture block in the three-dimensional digital model based on a fracture line in the three-dimensional digital model; the method comprises the following steps: extracting a spatial attribute set between a near-end head and neck fracture block and a far-end backbone fracture block in a three-dimensional digital model on the basis of each key bony anatomical mark point in the three-dimensional digital model. The spatial attribute set between the near-end head and neck fracture block and the far-end backbone fracture block in the three-dimensional digital model is based on the spatial attribute set between the near-end head and neck fracture block and the far-end backbone fracture block in the three-dimensional digital model; and the target virtual implantation channel is automatically planned in the three-dimensional digital model in combination with the preset mechanical bearing area parameters so as to be used for navigation planning suggestions, so that the precision of preoperative navigation planning is realized.

The application discloses a histopathological evaluation device for the healing degree of bone injury, and relates to the technical field of medical devices, pharmacodynamics and pathological diagnosis. The device comprises a microscope configured to capture an image of a stained bone tissue section; an image processing unit connected to the microscope and configured to obtain semi-quantitative histological measurement results and microscopic bone histomorphometry measurement results based on the image of the stained bone tissue section; the semi-quantitative histological measurement results comprise the state of callus bridging and fracture line, the composition and maturity of callus, new bone formation activity and bone remodeling and structure recovery state; the microscopic bone histomorphometry measurement results comprise the bone volume fraction and the proportion of osteoid surface; and a host computer connected to the image processing unit and configured to generate the bone injury healing condition according to the two kinds of measurement results. The application combines semi-quantitative histological measurement and microscopic bone histomorphometry measurement, and can provide an objective and quantifiable statistical device and method for the healing effect of bone injury.

The application discloses a kind of three-dimensional enclosed surface geological structure model's fracture logic analysis method and system, it is related to three-dimensional geological model analysis technical field, three-dimensional enclosed surface geological structure model's fracture logic analysis method mainly includes: according to the data set of each structure face, discontinuous structure face is subdivided into multiple structure face and obtains smooth structure face;Interpolation method is used to extrapolate and build directed surface, and then three-dimensional geological model is obtained;Each enclosed surface of three-dimensional geological model is cut to cutting surface and is carried out cutting operation to obtain cutting fracture line;According to fracture analysis rule, the parity of cutting fracture line is attributed and filled to obtain filled surface;Each filled surface is attributed with corresponding volume attribute, and form complete new three-dimensional enclosed surface model.The three-dimensional enclosed surface geological structure model's fracture logic analysis method and system provided by the application can efficiently and accurately perform fracture logic analysis and construct three-dimensional enclosed surface geological structure model.

The utility model relates to the technical field of auxiliary device, especially PFNA auxiliary device, it is mainly aimed at the process of reaming, reaming and inserting the main nail from the fracture line or the nearby position of the great trochanter vertex when carrying out PFNA internal fixation often causes the broken end separation, delays the fracture healing even does not heal, influences the patient recovery effect and the life quality, and the existing hook, towel forceps, bone holder or skin extrusion etc. direct or indirect mode maintains the reduction effect is not ideal problem, proposes the following technical scheme: including sleeve, the guide needle is slidably connected in the sleeve, a plurality of groups of through -hole are installed in the sleeve outer circle, a plurality of groups of through -hole are annular array distribution, the through -hole is used for guiding the kirschner wire, the positioning assembly is arranged in one end of the sleeve, the positioning assembly is used for limiting the guide needle, the utility model can effectively fix the broken end, accurately position the guide needle, promotes the fracture healing, improves the operation efficiency and the patient recovery effect and the life quality.

The invention relates to a CT (Computed Tomography) and MRI (Magnetic Resonance Imaging) multi-modal fusion-based osteoporotic fracture predicting and positioning method, which comprises the following steps of: acquiring and screening a CT image and an MRI image, and marking a fracture region; constructing a three-dimensional bimodal fracture positioning model which comprises a double-flow feature extraction encoder, a Mangban fusion module and a double-task reasoning module, and performing end-to-end training on the constructed model by using the constructed data set to obtain a trained osteoporotic fracture prediction and positioning model; and predicting the CT image and the MRI image to be detected, outputting a fracture probability prediction result, and calibrating on the images. According to the method, structural details of CT and tissue contrast information of MRI are combined, so that the recognizability of fine fracture lines and early bone changes is improved; classification and positioning tasks are executed cooperatively, so that process complexity and error accumulation caused by series connection of multiple models are avoided; the Mangbar fusion module with linear complexity significantly reduces the consumption of computing resources, and improves the reasoning speed and the system stability.

To provide an improved cutting and breaking method suitable for scribing hard materials such as SiC, even at relatively large thicknesses, and particularly for breaking materials with a metallized layer, especially one having a metallized layer with a thickness between approximately 0.5 and 5 μm. [Solution] A method for breaking a substantially planar workpiece having first and second main surfaces, with a metallized layer on the first main surface, i) A step of forming a groove in a workpiece that extends parallel to a plane, the groove being open on the upper surface of the workpiece, and subsequently ii) Applying a workpiece breaking force to the first main surface of the workpiece to split the workpiece along a fracture line that coincides with a groove, and then iii) A step of applying a metallic fracture force to the second main surface of the workpiece to fracture the metallized layer along the fracture line, Includes.

The application discloses a rib fracture CT image intelligent detection system based on deep learning, which comprises a rib CT image acquisition module, a tissue adaptive progressive enhancement module, a density threshold dynamic adjustment module, a CT perception loss constraint module, a rib CT image detection model design module and a rib fracture CT image detection module. The application belongs to the field of image processing and specifically refers to a rib fracture CT image intelligent detection system based on deep learning. The tissue adaptive progressive enhancement mechanism is designed to gradually strengthen the fracture line features and avoid overexposure caused by single strong enhancement. The density threshold dynamic adjustment mechanism is designed to further widen the density gap between subtle fractures and bone marrow. The bone tissue feature enhancement activation function is designed to avoid insufficient response to rib CT features. The skewness feature balanced loss design is based on to solve the skewness distribution of rib fracture data. And then, the rib fracture CT image detection effect is improved.

The invention relates to the technical field of medical image detection, in particular to a child femoral neck fracture image intelligent detection method and device based on multiple models. By introducing a hypergraph convolution module, the modeling capability of non-local space structure information in an image is enhanced, a fracture area with a small size, a fuzzy edge or a complex shape is accurately identified, and missing detection and false detection are avoided; an SE channel attention mechanism is adopted, so that the model automatically identifies channel information highly related to fracture features, the probability that the model misjudges child femoral proximal epiphyseal plates with similar image features as fracture lines is reduced, the discrimination and robustness of feature expression are improved, and the image recognition capability of complex child femoral neck fractures is improved; and meanwhile, effective integration of cross-level and multi-scale features is realized by utilizing Bi-FPN, not only is the perception ability of the model to fracture areas of different sizes improved, but also the calculation efficiency and the reasoning speed of the model are optimized, and the method has good adaptability and wide application prospects.

The invention provides a method for reconstructing an occlusion guide plate of a dentition support, which can solve the problem of occlusion fixation caused by incomplete dentition after a mandible fracture occurs, can fully consider the characteristics of mixed dentition and tooth embryo of children, and can perform customized design according to individual differences of patients. According to the technical scheme, the method comprises the steps that oral cavity data of a patient are obtained, and the obtained oral cavity data comprise deciduous dentition, mixed dentition and tooth embryo positions; three-dimensional reconstruction is carried out on oral cavity data to generate an upper jawbone model, a lower jawbone model, a dentition model and a tooth embryo model, the reconstruction of the occlusion relationship of a child patient suffering from the lower jawbone fracture needs to be realized by anatomical reduction of a fracture line and relative position characteristics of upper teeth and lower teeth during occlusion of an apical fossa, and under the computer-aided design, the reconstruction of the occlusion relationship of the child patient suffering from the lower jawbone fracture is realized. Performing reconstruction and simulated reduction on the mandible model by establishing upper and lower apical fossa occlusion through simulated reduction; generating an occlusal guide plate model through computer digital design of the simulated reset mandible model and the dentition model, and promoting occlusal relationship recovery of a dental crown part of the occlusal guide plate model by adopting tailoring design; a pore channel is established on the occlusion guide plate model based on Boolean operation, the pore channel is established based on anatomical characteristics of the lower jawbone of the patient and the dentition deletion condition, and the position of the pore channel and the position of the tooth embryo are not overlapped.

The utility model discloses a crack triggering micro-strain amplification structure for stress luminescence, which belongs to the technical field of stress luminescent materials and comprises an upper fracture triggering layer and a lower stress luminescent layer. The upper fracture triggering layer is PVA-borax hydrogel, preset fracture points are arranged on the surface of the upper fracture triggering layer, and fracture lines are formed by the pre-fracture points; the lower stress light-emitting layer is a PDMS-based composite material film body doped with a stress light-emitting material, and the lower stress light-emitting layer is tightly attached to the upper fracture triggering layer; the upper fracture triggering layer and the lower stress light-emitting layer are connected through interface bonding treatment and are in a pre-tensioning state. According to the crack triggering micro-strain amplification structure for stress luminescence, the upper fracture triggering layer adopts a preset fracture point (similar to a stamp perforation) structure, so that the fundamental problem that the luminescence threshold value of the traditional stress luminescence material is too high is successfully solved.

The invention provides a multi-mode pelvic fracture data generation method and system, a medium, a program and an electronic terminal, and the method comprises the steps: extracting a skeleton mask image from an original CT image, and carrying out the Euclidean distance transformation of the skeleton mask image, so as to obtain a distance transformation image; a watershed segmentation algorithm is utilized to generate a first watershed label graph with an initial fracture line along a mechanical weak area, and affine transformation of controlled Gaussian noise and biomechanical constraint is introduced, so that a second watershed label graph with form diversity and biomechanical authenticity is generated to represent a real pelvic fracture form; and meanwhile, the corresponding 6DOF parameters are output, so that the problem of scarcity of clinical data is effectively relieved.

This invention relates to the field of medical image processing technology and discloses a method and system for identifying image anomalies in orthopedic diagnosis and treatment. The method includes the following steps: multimodal image acquisition and preprocessing, multimodal image collaboration and feature alignment, anatomically constrained feature learning, hybrid supervised learning optimization, and anomaly identification and result output. The system includes a multimodal image acquisition and preprocessing module, a multimodal image collaboration and feature alignment module, an anatomical constraint knowledge base module, a hybrid supervised learning engine module, an anomaly identification core network module, and an interpretability mapping and clinical workflow interface module. To improve the accuracy and comprehensiveness of identification, this method and system acquire CT and MRI dual-modal images through an adaptive acquisition platform and perform purification and calibration. Feature-level spatial alignment and adaptive weighted fusion are achieved through a differentiable affine spatial transformation network, enabling precise capture of various anomalies such as fracture lines and osteophytes.

The invention discloses a method for constructing a fracture development index based on reservoir rock mechanical parameters, and the method comprises the steps: obtaining logging data which at least comprises the density, longitudinal wave time difference and transverse wave time difference of a reservoir; calculating Young modulus and Poisson's ratio according to the density of the reservoir, the longitudinal wave time difference and the transverse wave time difference; according to the imaging logging interpretation of the reservoir, the fracture development position is judged, and the fracture linear density is calculated; respectively normalizing the fracture linear density, the Young modulus and the Poisson's ratio, and then selecting two parameters most sensitive to fracture identification to construct a fracture development index; and comprehensively judging a crack development index threshold according to the crack development index and the crack linear density. The method can be widely applied to reservoir fracture development degree evaluation, only the density, the longitudinal wave time difference, the transverse wave time difference and other basic data are needed, the fracture development degree is quantitatively judged through the rock mechanical property change characteristics of the reservoir, subjective factors are reduced, the reliability degree is high, objectivity is high, and high operability is achieved.

The utility model provides a portable device for scraping a specimen, which comprises a bottle screwed with a bottle cap and a specimen scraping rod, the upper part of the outer ring of the bottle cap is provided with a first notch, the upper bottleneck of the bottle is provided with a second notch, and the second notch and the first notch are arranged correspondingly; a breaking line is arranged in the middle of the specimen scraping rod, and the breaking line is matched with the first notch in shape; a movable cover plate is further arranged on the bottle cap and can shield the first notch. According to the utility model, the second notch is formed in the upper bottle opening of the bottle, the first notch is formed in the upper part of the outer ring of the bottle cap, the second notch corresponds to the first notch, and the breaking line is arranged in the middle of the specimen scraping rod; the fracture line is matched with the first notch in shape, the specimen scraping rod can be fractured by gently applying force, so that the specimen can quickly fall into a bottle, the specimen storage efficiency is improved, and the operation difficulty and the time cost are reduced.