981 results about "Tunnel boring machine" patented technology

A method of predicting tunnel boring machine (TBM) jamming based on deep neural network and numerical simulation and a system thereof are provided, belonging to the technical field of tunnel boring. The method including the following steps: constructing a jamming numerical sample library by using s numerical simulation technology; establishing a jamming prediction model based on the jamming numerical sample library by using a Convolutional Neural Network (CNN) and a Transformer; and implementing real-time monitoring and early warning of TBM jamming by using the jamming prediction model. The present application realizes the real-time monitoring and early warning of TBM jamming, reduces or avoids the jamming phenomenon, and improves the safety and efficiency of TBM construction.

The invention belongs to the field of intelligent manufacturing, and particularly relates to an intelligent scheduling method for collaborative manufacturing of tunnel boring machines, in the method, multi-source heterogeneous data including design data, process data, production data, material data and the like are acquired, and a rich data basis is provided for intelligent scheduling. The data fusion method based on the ontology is adopted, and the problems of semantic heterogeneity and structural heterogeneity of multi-source heterogeneous data are effectively solved. By constructing the tunnel boring machine manufacturing field ontology model, semantic association and sharing of data from different sources are realized, and the availability and understandability of the data are improved. An algorithm combining mixed integer programming and deep reinforcement learning is provided for intelligent scheduling of tunnel boring machine collaborative manufacturing. A robust optimization method is introduced to enhance the robustness of the scheduling scheme, and the influence of uncertain factors such as raw material supply and equipment maintenance in the manufacturing process of the tunnel boring machine is considered.

The invention relates to the technical field of data processing, discloses a digital twin adaptive decision platform for TBM tunneling and a control method, and aims to solve the problems of single sensing dimension, mutual separation of physical and data models, disjunction of early warning and control links and low man-machine interaction efficiency in the prior art. According to the scheme, the method mainly comprises the steps that multi-source real-time data is collected through a hardware sensing layer, after the multi-source real-time data is processed through a data management and fusion layer, a digital twin model layer constructs a physical-data fusion model and completes risk assessment, finally risk visualization is achieved through an augmented reality interaction layer, and an intelligent control decision-making layer generates a control instruction and outputs the control instruction to a TBM main control system. According to the integrated intelligent decision-making platform and the control method, multi-source perception deep fusion, physical and data model online coupling, risk assessment and equipment control second-level closed loop can be realized, and visual interaction can be realized through augmented reality.

A tunnel boring device and a tunnel boring machine, which aim to solve the problem of a hinged oil cylinder being likely to be damaged due to a propulsion mode. The tunnel boring device (100) comprises a front shield (110), a middle shield (120), and a tail shield (130). A first propulsion assembly (140), a second propulsion assembly (150) and an auxiliary propulsion member (160) are provided inside the tunnel boring device; the auxiliary propulsion member (160) is located between the front shield (110) and the second propulsion assembly (150); and when the front shield (110) is stuck, the second propulsion assembly (150) moves in a tunneling direction, such that a second end of the second propulsion assembly (150) comes into contact with and abuts against the auxiliary propulsion member (160), thereby pushing the front shield (110) to free the front shield. In the present application, a dual-mechanical force transmission structure is provided, which helps to avoid the risk whereby a hinged oil cylinder is likely to be damaged when ultrahigh thrust is transmitted to the front shield by means of a single mechanical force transmission structure, and which transmits the ultrahigh thrust to the front shield, facilitating escape of the front shield, and then guaranteeing normal boring of a tunnel boring machine.

The invention discloses a visual detection system and method for a TBM wall back grouting effect, and belongs to the technical field of tunnel detection, and the system comprises an acoustic signal transmitting matrix, an acoustic energy sensing matrix, a tunnel half-section synchronous lifting device, a data processing center, a core scheduling unit, a holographic data processing unit and a holographic intelligent analysis unit, the tunnel half-section synchronous lifting device comprises a tunnel half-section synchronous lifting track, a transmitting base, a sensing base, a transmitting sensing partition plate and a transmitting sensing fixing plate. According to the method, grouting attribute information of a to-be-detected area is obtained through a root-mean-square value, a longitudinal wave energy dissipation value, longitudinal wave sending and receiving time difference and a wave velocity value, a three-dimensional information model of a tunnel section is built through a holographic data processing unit based on the information, and difference data and a difference area are presented through a holographic intelligent analysis unit; therefore, visualization processing of the tunnel grouting information is achieved, and the accuracy of TBM wall back grouting effect detection is improved.

The invention discloses a tunnel boring machine (TBM) tunneling method for a large-diameter inclined shaft under a deep coal mine well, belongs to the technical field of mine construction engineering and tunnel tunneling, and aims to solve the problems of poor axis control precision and deviation correction response lag caused by the fact that an existing method depends on manpower and cannot integrate geology and inclination angle information for self-adaptive thrust distribution. The surrounding rock strength grade is judged according to the torque and the speed by collecting the cutterhead torque, the rotating speed, the total propulsive force and the pitch angle in real time; calculating a gravity component force and an unstable moment by combining the pitch angle, and calculating a required deviation correction moment according to the real-time angle deviation; a pre-stored data table is inquired based on the pitch angle, the surrounding rock grade and the deviation rectifying torque, and the target pressure distribution proportion of the upper and lower partition oil cylinders is dynamically generated; and finally, the total propulsive force set value is decomposed according to the proportion, the pressure of an oil cylinder is adjusted through independent closed-loop control, and self-adaptive accurate control over the pitch attitude is achieved. The method is mainly used for improving the axis control precision and stability of the large-diameter inclined shaft TBM construction of the deep coal mine.

The invention provides a shield / TBM (Tunnel Boring Machine) starting counter-force device in a subsurface tunnel primary support structure, which comprises a starting frame arranged in a tunnel body along the length direction of the tunnel body; the counter-force rings are arranged on the starting frame in an end-to-end connection mode, and the axes of the counter-force rings are parallel to the axis of the tunnel body; the supporting unit comprises a plurality of groups of positive supporting arms and inclined supporting arms which are arrayed on the circumferential side of the counter-force ring at the tail position, the extension line of each positive supporting arm in the length direction is perpendicular to the axis of the counter-force ring, and the extension line of each inclined supporting arm in the length direction forms an included angle of 45-75 degrees with the axis of the counter-force ring; a bracket seat is arranged at one end, far away from the counter-force ring, of each inclined supporting arm; and the multiple sets of pre-embedded steel plates are evenly distributed on the inner wall of the tunnel body, and the multiple sets of positive supporting arms and the multiple sets of bracket bases are connected with the corresponding pre-embedded steel plates correspondingly. The counterforce ring is connected with the underground excavation primary support, and shield launching can be completed under the condition that no station or underground excavation civil air defense tunnel main body structure exists.

The invention discloses a tunnel surrounding rock deformation prediction method, system and equipment. The tunnel surrounding rock deformation prediction method comprises the steps that actual multi-source data in the tunneling process of a tunnel boring machine (TBM) are obtained, and the multi-source data at least comprise surrounding rock deformation monitoring data, tunneling data of the tunnel boring machine and vibration signal data; the multi-source data is input into a pre-trained prediction model, a prediction result of the tunnel surrounding rock deformation condition in the TBM tunneling process is obtained, and the prediction model is pre-trained with the pre-obtained multi-source data as a training sample and the tunnel surrounding rock deformation condition as a label. According to the embodiment of the invention, the method can achieve the advanced prediction of the deformation of the surrounding rock through the real-time data in the construction process of the tunnel boring machine, provides a scientific basis for the construction parameter optimization and risk early warning of the tunnel boring machine, reduces the workload of manual monitoring, and improves the construction automation level.

The present disclosure provides a tunnel boring machine excavation parameter prediction method based on offline reinforcement learning and a device. The method comprises: acquiring historical operating data generated by a tunnel boring machine within a specified time interval under normal operating conditions, and preprocessing the data; constructing a tunnel boring machine excavation parameter prediction model on the basis of an offline reinforcement learning model, and training the tunnel boring machine excavation parameter prediction model by means of historical point data in the preprocessed historical operating data; and inputting point data generated by the tunnel boring machine during real-time operation into the trained tunnel boring machine excavation parameter prediction model, and outputting a predicted value of a tunnel boring machine excavation parameter to guide the excavation of the tunnel boring machine. By means of the present invention, a corresponding excavation parameter can be predicted on the basis of point data generated by a tunnel boring machine during operation, providing guidance for a tunnel boring machine operator.

The invention discloses a tunnel boring machine performance prediction and monitoring system and method based on digital twinning and machine learning. The system comprises a data acquisition module, a data preprocessing module, a model construction module, a performance analysis module and a visual analysis module. The data acquisition module is used for acquiring initial data of a tunnel boring machine on a construction site; the data preprocessing module is used for preprocessing the initial data to obtain preprocessed data; the model construction module constructs a prediction model and a digital twinborn model of the tunnel boring machine based on the preprocessed data; the performance analysis module predicts the tunneling speed and the propelling speed of the tunnel boring machine by using the prediction model to obtain a prediction result, and integrates the prediction result with the digital twinborn model; and the visual analysis module is used for constructing a virtual environment and checking the construction progress and the performance prediction result of the tunnel boring machine in real time in a digital twinborn model in the virtual environment.

The invention provides a rear support of a heading machine and the heading machine, and belongs to the field of tunneling equipment. The rear support of the heading machine comprises a rear support body, a vertical direction adjusting device and a horizontal direction adjusting device which are connected to the rear support body, and further comprises a limiting structure and a matching structure, one of the limiting structure and the matching structure is installed on the rear support body, and the other one is used for being installed on a main beam or an inner yoke. The limiting structure comprises at least two limiting parts which are arranged front and back, the matching structure comprises a limiting matching part which is located between the two limiting parts which are adjacent front and back, and gaps are reserved between the limiting matching part and the limiting part which is adjacent to the front side and / or the limiting part which is adjacent to the rear side. The heading machine comprises the heading machine rear support. The limiting structure and the matching structure can be matched in a limiting mode after the up-down steering amplitude or the left-right steering amplitude of the heading machine exceeds a design value, so that the rear supporting body deflects adaptively, and damage to the knuckle bearing is avoided.

The present invention provides a method for designing an abrasive water jet-disc cutter combined rock-breaking cutter head, a system therefor, a cutter head and a tunnel boring machine (TBM), wherein the key technology of designing the abrasive water jet-disc cutter combined rock-breaking cutter head of the TBM are provided from the aspects of determining a combined rock-breaking combination mode, configuration of cutter operation parameters and optimization of the combined cutter head; the performance of the abrasive water jet-disc cutter combined rock-breaking cutter head manufactured according to the optimized layout parameters is improved; and a new idea is provided for the development and application of a full-section rock tunneling machine in the field of underground engineering.

The invention discloses an open-type TBM over-slowly-inclined soft rock stratum zoning and sectioning collaborative supporting construction method. The method comprises the steps that S1, shield tail immediate supporting is conducted; s2, reinforcing and supporting the rear part of the supporting shoe; and S3, bottom arch anchor support closing regulation and control. According to the open-type TBM equipment structure characteristics and the slowly-inclined soft rock stratum deformation rule, a supporting area is divided into three operation sections including a near-shield-tail instant supporting area, a supporting shoe rear reinforcing supporting area and a bottom arch anchor supporting closed regulation and control area, differential supporting is implemented in a staged mode, space-time progressive construction of pre-stressed anchor cables and anchor rods is combined, and the supporting effect is greatly improved. Matching of supporting rigidity and stratum deformation is ensured through dynamic adjustment of prestress, a dynamic collaborative supporting system of instant supporting, reinforcement and closed-loop regulation and control is formed, and double improvement of supporting efficiency and safety is achieved.

The invention discloses a shield tunneling machine intelligent tunneling regulation and control system and method based on muck digital imaging and a knowledge graph, and the system comprises a muck image collection module, an image processing unit, a knowledge graph reasoning module, a parameter reference suggestion generation module, a visual interaction module, and a feedback and iterative optimization module. The method comprises the following steps: acquiring an image of residue soil on a residue discharge belt of a shield tunneling machine in real time, dynamically identifying a stratum type and a change trend in combination with a knowledge graph, generating a reference regulation and control suggestion of tunneling parameters of the shield tunneling machine, and displaying the reference regulation and control suggestion on a screen. According to the method, a shield tunneling machine driver can scientifically and systematically adjust construction operation, the real-time performance and accuracy of stratum recognition are improved, cutter head abrasion and shield attitude offset caused by uneven hardness or boulder strata are reduced, and construction safety and tunneling efficiency are improved; the system carries out iterative optimization on the knowledge graph and the image recognition model according to construction feedback, the adaptability and reliability of the system under different working conditions are enhanced, and the construction economy and the engineering application value are improved.

The invention discloses a TBM tunneling state monitoring method, system and device and a medium, and relates to the technical field of TBM tunnel geological recognition and cutterhead maintaining.A plurality of different types of accelerometers are arranged on a cutterhead of a TBM to obtain vibration data of the TBM; establishing independent response models for the vibration data and TBM heading machine operation data, cutterhead data, geological data and construction data to obtain a nonlinear relationship between the vibration data and each data parameter; meanwhile, a comprehensive response model is established according to the nonlinear relation so as to establish a mutual feedback mechanism between the vibration data and the influence factors, and the specific numerical range of each influence factor is calculated according to the vibration data, so that the tunneling state of the TBM is judged; a plurality of accelerometers designed by the invention are slightly influenced by the metal cutterhead, and meanwhile, the tunneling state of the TBM can be judged according to a mutual feedback mechanism between obtained vibration data and related data.

The invention discloses a rock slag multi-dimensional intelligent identification and real-time early warning method for tunnel boring machine construction. The method comprises the steps that continuous rock slag images are acquired and preprocessed; inputting the preprocessed rock slag image into the trained multi-task network, and outputting a multi-task result; wherein the task network adopts a unified encoder and multi-head decoder architecture, the multi-head decoder comprises a segmentation head, a detection head, a regression head and an anomaly scoring head, the segmentation head outputs a pixel mask, the detection head outputs a rock slag frame and category, the regression head outputs a particle size distribution parameter, and the anomaly scoring head outputs a frame level anomaly score; synchronously carrying out sliding window statistics based on output results of the regression head and the abnormal score head; and performing multi-level early warning judgment based on a sliding window statistical result. According to the method, multiple functions of rock slag instance segmentation, target detection, particle size distribution regression, flow estimation, anomaly scoring and the like can be realized, and multi-stage early warning and parameter suggestion are realized through time sequence statistics.

The invention belongs to the field of tunnel boring machine internal equipment, and discloses a multi-degree-of-freedom large-magnification-ratio visual carrying motion protection platform suitable for a long and narrow space in a TBM (Tunnel Boring Machine), which comprises a guide rail, a loading platform, a horizontal telescopic mechanism, a rotating mechanism, a vertical telescopic mechanism, a visual protection system and a front-back swinging mechanism. According to the multi-degree-of-freedom large-magnification-ratio vision carrying motion protection platform, the flexibility and coverage range of TBM internal vision monitoring are improved, and the requirements of different monitoring positions can be met; through multi-degree-of-freedom motion and a large magnification ratio, comprehensive monitoring of a complex environment in the TBM is realized; the visual protection system effectively protects visual equipment, and durability and stability of the equipment are improved; the structure design is compact, deployment and operation in a long and narrow space in the TBM are suitable, and the space utilization rate is increased; and through automatic and intelligent design, the requirement of manual operation is reduced, the operation risk is reduced, and the working efficiency is improved.

The invention provides a karst cave group detection method and device in shield construction, and the method achieves the comprehensive detection of karst caves through a transient electromagnetic and sound wave array composite wave field detection mode, and improves the detection accuracy and detection efficiency of the karst cave group. And feature extraction is performed on the composite wave field detection data through a cross-physical coupling model, a karst cave probability model is established, and quantitative evaluation of a karst cave detection result is realized. When the karst cave possibly exists in the construction direction of the shield tunneling machine, the distribution prediction direction of the karst cave is further determined, and the shield tunneling machine is prevented from entering the karst cave area blindly in the tunneling process. Through the multi-source sensing array carried on the shield tunneling machine, equipment parameters during operation of the shield tunneling machine are collected in real time, potential construction anomalies can be found easily, and the accuracy and timeliness of karst cave detection are improved. Combined analysis is carried out on the composite wave field detection data and the operation parameters of the shield tunneling machine through the risk assessment model, a karst cave risk prediction value is determined, and the accuracy of karst cave risk assessment is improved.

A calculation method for measuring the flatness of cross-section of a tunnel segment, comprising: mounting laser displacement sensors on a thrust cylinder assembly plane of a tunnel boring machine, an emitting laser beam of each sensor being parallel to an axis of a cylinder, being perpendicular to the propulsion cylinder assembly plane, and pointing to the end surface of a segment ring to be tested; the intersection of the straight line where the laser of each laser displacement sensor is located and the propulsion cylinder assembly plane is referred to as a base point Pi; the intersection formed between the laser of each laser displacement sensor and said segment ring is referred to as a measurement point Pi′; the corresponding spatial coordinates of each base point are represented by Pi(xi,yi,zi); the corresponding spatial coordinates of each measurement point are represented by Pi′(xi′,yi′,zi′); a rear shield axis vector nrear shield=(xn,yn,zn).

The invention relates to a method for disassembling a main drive of a double-shield TBM (tunnel boring machine) in a tunnel, which belongs to the field of disassembly and assembly and comprises the following steps: (1) preparation work; (2) cutting an anterior shield; (3) lifting lugs are welded, and lifting points are arranged; (4) disassembling and turning over by a main driving method; and (5) transporting a main drive. The in-hole dismounting key technology for the double-shield TBM main drive has the advantages that the problem of non-destructive dismounting of the main drive in a narrow space of an equipment shield body is well solved, secondary use of core components is guaranteed, the recovery cost after in-hole shell abandoning and machine dismounting is greatly saved, and the in-hole dismounting key technology is safe, economical and feasible and has wide application prospects. And the method can be used for subsequent dismounting construction of the main drive in similar in-hole shell abandoning and dismounting machines.

The utility model provides a heading machine. The heading machine comprises a machine body; the first rotating part is arranged at the front end of the machine body; the cutting assembly is connected with the first rotating part and can swing up and down under the action of the first rotating part; the first detection assembly is connected with the first rotating part and is used for detecting the lifting amplitude of the cutting assembly; the control assembly is connected with the first detection assembly and used for determining the final lifting amplitude of the cutting assembly according to the detection result of the first detection assembly; wherein the first detection assembly comprises a first gear which is connected with the first rotating part and can synchronously rotate along with the first rotating part; the second gear is meshed with the first gear; the first angle sensor is connected with the second gear and used for converting the rotation angle of the second gear into an electric signal and sending the electric signal to the control assembly. The heading machine can stably measure the lifting amplitude of the cutting assembly of the heading machine with high precision.

The invention discloses a full-section tunnel boring machine capable of preventing rockburst and a construction method of the full-section tunnel boring machine. A plurality of stone cutting machines are arranged in the area where the disc face of a cutter disc is located and used for forming kerfs in a tunnel face and a tunnel wall; a rockburst micro-seismic monitoring system is arranged behind the shield and connected with a plurality of sensors, and the sensors are distributed on the two sides of the kerf in the tunnel wall. The full-face tunnel boring machine capable of preventing rockburst can cut the tunnel face and the tunnel hole wall, so that the tangential concentrated stress of the excavation tunnel face and the tunnel hole wall is effectively transferred to deep surrounding rock, and the tangential stress concentration level of the tunnel face and the tunnel hole wall is reduced; meanwhile, reduction of surrounding rock stress concentration degree and maintenance of completeness and stability of the surrounding rock are effectively combined. The full-face tunnel boring machine for preventing rock burst can organically combine joint cutting construction and tunneling, tunnel wall joint cutting operation can be carried out while TBM tunneling is carried out, safe and efficient construction is achieved, construction is convenient and fast, and disturbance to surrounding rock is small.

The invention discloses a tunnel surrounding rock quality prediction method and system. The tunnel surrounding rock quality prediction method comprises the steps that actual multi-source data in the tunneling process of a tunnel boring machine are obtained, and the multi-source data at least comprise rock slag image data of surrounding rock, tunneling data of the tunnel boring machine and vibration signal data; extracting rock slag image data features, tunneling data features and vibration signal data features; the three features are fused, and a final prediction result of the surrounding rock quality is obtained according to the fused features; obtaining a first prediction result of the surrounding rock quality according to the rock slag image data features, obtaining a second prediction result of the surrounding rock quality according to the tunneling data features, obtaining a third prediction result of the surrounding rock quality according to the vibration signal data features, and deciding a final prediction result of the surrounding rock quality according to the first to third prediction results. The embodiment of the invention has the advantage of comprehensive and accurate surrounding rock quality evaluation.

The utility model discloses a TBM (Tunnel Boring Machine) high-voltage cable recovery device which comprises a roller frame, a bottom plate is arranged on the lower surface of the roller frame, fixing structures are symmetrically and fixedly connected to the upper surface of the bottom plate, the bottom plate is connected with the roller frame through the fixing structures, a groove is formed in the outer wall of a roller, and circular plates are symmetrically and fixedly connected to the side walls of the roller. And the other side of the circular plate is in clearance fit with the inner side wall of the rotating roller frame. A groove is formed in the side wall of the rotating roller, the groove can be attached to a cable, the cable can be wound conveniently, meanwhile, circular plates are arranged on the two sides for shielding, the circular plates are designed to be large in specification, the TBM high-voltage cable can be wrapped on the outer wall of the rotating roller, the TBM high-voltage cable is prevented from being wound to the gap in the winding process, the orderly winding process is carried out while the safety of the TBM high-voltage cable is guaranteed, and the TBM high-voltage cable winding efficiency is improved. Abrasion is reduced to prolong the service life of the cable, the use efficiency and the working performance of the TBM are improved, and the quality, the service life and the working safety of the cable are ensured.

The invention relates to the technical field of tunnel construction equipment, and discloses an annular scanning complete polarization ground penetrating radar system carried on a TBM (Tunnel Boring Machine), and the system comprises a control unit which is disposed in a TBM control room and is used for transmitting a control signal and receiving and storing measurement data; the fully-polarized ground penetrating radar antenna array is mounted in a gap between cutter spokes and is used for transmitting and receiving electromagnetic waves; each group comprises two transmitting antennas and two receiving antennas; the two transmitting antennas transmit horizontally polarized electromagnetic waves and vertically polarized electromagnetic waves respectively, the two receiving antennas receive horizontally polarized echoes and vertically polarized echoes respectively, and a complete 2 * 2 scattering matrix of a front annular area is obtained by rotating the fully polarized antenna array through the cutterhead to complete a measurement period. The multi-polarization radar antenna is adopted, the scattering characteristic information of the target body can be comprehensively obtained by transmitting and receiving electromagnetic wave signals in multiple polarization states, and more comprehensive information can be provided for target recognition under complex geological conditions.

The invention provides a vertical receiving target for measuring the attitude of a full-face tunneling machine. The vertical receiving target comprises an optical system, a circuit system, a prism system and a gyroscope, the prism system is used for receiving an initial optical signal and transmitting the initial optical signal to the optical system; the optical system is used for processing the received initial optical signal to obtain a target optical signal and transmitting the target optical signal to the circuit system; the gyroscope is used for outputting an angle detection result of the vertical receiving target to the circuit system; and the circuit system is used for determining an attitude detection result of the vertical receiving target according to the received target optical signal and the angle detection result, and determining an attitude offset result of the full face tunnel boring machine according to the attitude detection result. Therefore, the vertical receiving target designed by the invention can be used for accurately measuring the working posture of the full-section digging machine for the ultra-deep vertical shaft, so that the construction quality is ensured.

The invention relates to a main driving system design method based on operation and maintenance data of a tunnel boring machine, and the method comprises the steps: collecting the data of a motor, a speed reducer, a bearing and a sealing key part of the main driving system of the tunnel boring machine, collecting the operation condition data, and installing various types of sensors to collect the physical parameter data; and the collected data is preprocessed and then transmitted to the data processing center. The method provided by the invention can realize higher prediction precision under the condition of fewer data samples, has better stability and adaptability, and can effectively cope with the complicated operating environment and working condition change of the main driving system of the tunnel boring machine.

The invention discloses a shield tunneling machine hob damage monitoring method and system, a medium and a product, and relates to the technical field of shield construction monitoring. The hob damage monitoring system firstly obtains a vibration signal and an acoustic emission signal of a hob, and divides the signals into time sequence synchronization segments to guarantee data correspondence. Then extracting a vibration feature vector and calculating an Euclidean distance so as to reflect a vibration change trend; and acoustic emission characteristic parameters and change rates are determined, and acoustic emission signal characteristics are reflected. After the interference data fragments are removed, abnormal signals are marked, and whether the hob is damaged or not is judged according to the abnormal marking duration and the number density. All the steps cooperate with one another to form a complete process, vibration signals caused by instantaneous impact, acoustic emission signal abrupt change and signal characteristics generated by real damage of the hob can be effectively distinguished, the damage condition of the hob can be accurately recognized, early warning can be given out in time, the monitoring accuracy is improved, the false alarm rate is reduced, and construction safety and continuity are guaranteed.

The invention discloses an unfavorable geologic body identification method, system and equipment during tunneling of a TBM (Tunnel Boring Machine), and relates to the technical field of tunnel advanced geological forecast. Radar detectors with different frequencies are mounted on a cutterhead of the TBM, and geologic body data of different distances and different precisions of a geologic body in the tunneling process are obtained during tunneling of the TBM; a high-resolution three-dimensional image is generated according to the phase differences of the geologic body in different time periods, and a three-dimensional recognition model is constructed according to the phase differences of the geologic body in different detection distances in different time periods, so that precise recognition of the unfavorable geologic body is realized; in the process, radar detectors with different frequencies are adopted to obtain detection data with different precisions and different distances, so that organic combination of the detection distance and the detection precision is realized, comprehensive and accurate geological information can be extracted from the detection data, and the unfavorable geologic body can be comprehensively and accurately identified.

The invention belongs to the technical field of coal mine heading machine onboard temporary supporting equipment, and particularly relates to a heading machine onboard temporary supporting device. The cutting part comprises a cutting part rack, a parallelogram turnover mechanism arranged in the middle of the cutting part rack, a turnover oil cylinder for driving the parallelogram turnover mechanism, a bearing platform, a telescopic mechanical arm assembly and a protective plate assembly, the bearing platform is connected to the cutting part rack through a parallelogram turnover mechanism and is driven by a turnover oil cylinder to horizontally lift and translate, one end of the mechanical arm assembly is connected to the bearing platform, and an angle adjusting mechanism is arranged between the mechanical arm assembly and the bearing platform; the guard plate assembly is installed at the other end of the mechanical arm assembly, and a leveling mechanism is arranged between the guard plate assembly and the mechanical arm assembly. According to the invention, the original onboard temporary support overturning structure of the heading machine is broken through, and the parallelogram four-connecting-rod translation mechanism is innovatively designed, so that the translation mechanism can be normally used in a low roadway, and the effect of increasing the practical performance is achieved.