608 results about "Tunnel boring machine" patented technology

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.

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 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 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 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 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 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.

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 invention provides a pea gravel self-adaptive injection method, an injection system, rear corollary equipment and a tunnel boring machine, and belongs to the technical field of tunnel boring. The injection state of the injection port pipeline is judged by detecting the vibration condition of the injection port pipeline at the tail end of the injection pipeline, and the blanking adjusting valve of the feeding device is controlled to adjust the opening degree of the blanking port in a self-adaptive mode according to the injection state, so that the blanking speed is matched with the current injection state in a self-adaptive mode. Meanwhile, the rotating speed of a motor of the pea gravel pump is adjusted in a self-adaptive mode according to the opening degree of a discharging opening, self-adaptive matching of the discharging speed and the pea gravel spraying amount is achieved, the system can achieve self-adaptive control over the discharging speed, the rotating speed of the motor and the air inflow according to a control program of a PLC, fault signals and accessory replacement reminding are provided, manual operation is not needed, and the working efficiency is improved. The problems that at the present stage, the blanking speed, the motor rotating speed and the air inflow are adjusted completely depending on manual experience, the whole system is unstable, pipe blockage and pipe explosion frequently occur on site, and quick-wear parts are abraded rapidly are solved.

The invention provides a shield construction site automatic layout method based on artificial intelligence. The method specifically comprises the following steps: S1, carrying out basic data acquisition and standardization processing on a construction site; s2, constructing a fine-grained field layout rule knowledge base; s3, inputting the basic data of the construction site after standardization processing, and based on the logic guidance and constraint of the fine-grained site layout rule knowledge base, intelligently generating functional region division, facility arrangement and traffic flow organization schemes of the shield construction site by utilizing an artificial intelligence large model to fuse data understanding and logic deduction; and S4, completely converting the site layout reasoning result in the step S3 from data to a graph, generating a construction site layout scheme, and visually displaying the construction site layout scheme. According to the method, standardized data input and knowledge-driven reasoning are constructed, and an artificial intelligence large model is combined, so that automation and standardization of functional area division, facility arrangement and traffic flow organization of the shield construction site are realized, and the design efficiency and consistency are improved.

The invention relates to TBM water conveyance tunnel lining steel pipe installation and transportation equipment and a transportation and installation method, the TBM water conveyance tunnel lining steel pipe installation and transportation equipment comprises a rail transportation system, a transfer system, a wheel type transportation system, an installation butt joint device and temporary supporting profile steel, the rail transportation system is arranged on a drilling and blasting tunnel section, and the transfer system is arranged at the junction of the drilling and blasting tunnel section and a segment tunnel section; the wheel type transportation system is arranged on a pipeline, and the installation butt joint device is arranged at the end of a lined section. The rail transportation system and the transfer system share the same group of rails at the intersection; the installation and construction of the lining steel pipe of the TBM water delivery tunnel with the engineering quantity smaller than 1 kilometer can be facilitated, the construction efficiency is improved, and the cost is reduced.

The invention discloses a TBM (tunnel boring machine) intelligent tunneling method and system, electronic equipment and a storage medium, which can perform multi-scale feature fusion on input data and improve context dependence capture capability, realize fusion of spatial features and time sequence features and enhance prediction performance of a model. Moreover, through deep fusion of the deep learning model and the MPC module, short-term optimization and global strategy learning are realized, the stability and robustness of the model are improved under the conditions of dynamic parameter change and external interference, the GRU can integrate historical observation information, the defects of single-step prediction are made up, and the prediction efficiency is improved. The automatic control model can well adapt to the characteristics of high coupling property, strong nonlinearity, strong time-varying property under different working conditions, large load change and the like of all systems of the TBM, is favorable for improving the response speed and reducing the steady-state error, and can realize flexible, robust and high-precision TBM tunneling intelligent regulation and control.

The invention discloses a roadway heading machine positioning method, device and system based on vision-inertia multi-stage depth fusion, the device comprises an industrial camera, a strapdown inertial navigation system, an artificial target and a computing system, the industrial camera is used for acquiring an artificial target image, the strapdown inertial navigation system is used for acquiring inertia information, the artificial target is arranged in a roadway behind a heading machine, and the computing system is used for computing the inertial information. The system is used for providing rich information for full-state vision measurement; a trained positioning model is integrated in the calculation system, and in the tunneling working process of the roadway tunneling machine, the calculation system estimates the machine body pose on line based on the positioning model; according to the positioning model, the current six-degree-of-freedom machine body pose of the tunnel boring machine is estimated on line by using the previous frame visual inertial positioning comprehensive feature and the inter-frame short-time inertial positioning feature as joint prior information and combining the current moment visual sequence fusion feature. According to the invention, efficient and reliable on-line positioning of the tunnel boring machine under extreme working conditions is realized.

The invention relates to a rock breaking hob mechanism, a using method of the rock breaking hob mechanism and a tunnel boring machine. The rock breaking hob mechanism comprises a cutterhead, a first hob, a second hob and a nozzle. The cutterhead is configured to be rotatable; the first hob is arranged on the cutterhead; the second hob is arranged on the cutterhead, the first hob protrudes out of the second hob in the axis direction of the cutterhead, and the distance between the first hob and the axis is not equal to the distance between the second hob and the axis in the radial direction of the cutterhead; the nozzle is arranged on the cutter head, the distance between the nozzle and the axis is equal to the distance between the first hob and the axis in the radial direction, and the nozzle is configured to jet fluid. According to the rock breaking hob mechanism provided by the invention, the first hob and the nozzles are cooperatively matched, so that the use amount of the nozzles is reduced, the energy consumption of high-pressure water jet is reduced, and the defect that the cutting seam depth of the high-pressure water jet is limited under a high moving speed working condition is effectively improved.

The utility model discloses a shield / TBM trailer starting assembly system under a small wellhead of a deep well, and solves the problems that in the prior art, a wellhead is relatively narrow and relatively deep, a rear matched trailer cannot be hoisted into a well, and underground assembly is difficult. The device comprises a hoisting device, a walking trolley and a jacking device which are arranged above a wellhead, the jacking device is positioned at the bottom of the trailer which is arranged in blocks; and a transverse driving mechanism for driving the walking trolley to move back and forth and a longitudinal driving mechanism for driving the walking trolley to move left and right are arranged underground. The lifting device, the walking trolley and the winch or the oil cylinder are matched to complete underground lifting and assembling of the matched trailer, and the lifting device is simple in structure, convenient to use and practical; the lifting device is used for turning over and lifting the trailer from the horizontal state to the vertical state, and the lifting device is matched with the walking trolley to turn over and assemble the trailer from the vertical state to the horizontal state; the trailer completes assembly from entering a well to underground through two times of turning over, and the requirements for launching of the trailer in a small and deep well and tunneling of a shield tunneling machine are met.

The invention discloses a shield tunneling machine soil pressure balance control method and system based on multi-parameter dynamic optimization, and relates to the technical field of shield tunneling machine control. The method comprises the following steps: calculating a support force required in a shield tunneling process under a current working condition and a theoretical shield soil bin pressure observation value, and establishing a relationship through a linear fitting mode to obtain a soil bin pressure transfer coefficient under a current stratum condition; calculating the theoretical support force of the tunnel face in the tunneling process, and calculating the preset value of the shield soil bin pressure in combination with the soil bin pressure transfer coefficient; and acquiring a real-time shield soil bin pressure observation value, and performing multi-parameter collaborative optimization on an error between the preset value of the shield soil bin pressure and the real-time shield soil bin pressure observation value by using a particle swarm optimization algorithm to obtain an optimized control parameter. According to the method, the pressure of the soil bin can be adjusted more accurately according to actual conditions, so that dynamic balance of an excavation face in the construction process is ensured, and safety and stability of underground tunnel construction are guaranteed.

The invention discloses a TBM (Tunnel Boring Machine) segment behind-wall active closed grouting and stopping device and method, the device comprises a water-permeable and slurry-impermeable membrane bag with a grouting valve and a slurry outlet valve at the two ends respectively, and the device further comprises an external cement slurry tank and a water glass tank, and the cement paste tank and the water glass tank are respectively connected with a three-way valve arranged on the grouting valve through a cement paste grouting pipe and a water glass grouting pipe. The device comprises a water-permeable slurry-impermeable membrane bag with the two ends provided with a slurry injection valve and a slurry outlet valve respectively, and further comprises a cement slurry tank and a water glass tank which are arranged externally, and the cement slurry tank and the water glass tank are connected with a three-way valve arranged on the slurry injection valve through a cement slurry injection pipe and a water glass injection pipe respectively. Through the structure, active closed grouting is achieved, disordered diffusion of grout is prevented, and the beneficial effects that the grouting range can be accurately controlled, the compactness of the grout stopping body is improved, gaps and holes are avoided, and therefore the long-term stability of a tunnel is enhanced are achieved.

The invention relates to a tunnel boring machine. The tunnel boring machine comprises a main machine shield body and an anchor mesh shotcrete supporting system connected with the main machine shield body, the main machine shield body comprises a front shield, a rear shield and a rear shield, the front shield comprises a cutterhead and a main drive, and the main drive is used for driving the cutterhead to rotate; the supporting shield comprises a supporting shoe and a supporting shoe oil cylinder, and the supporting shoe oil cylinder is connected with the supporting shoe and used for driving the supporting shoe to stretch out and draw back; the telescopic shield is arranged between the front shield and the supporting shield, the telescopic shield comprises a plurality of thrust oil cylinders, each thrust oil cylinder is in spherical hinge connection with the front shield and the supporting shield, and the thrust oil cylinders are used for driving the front shield to tunnel; and the diameters of the front shield, the telescopic shield and the supporting shield are gradually reduced.

The invention relates to the technical field of water gushing monitoring, in particular to a tunnel water gushing dynamic control and safety monitoring method and system based on geological radar, and the method comprises the following steps: in the tunneling mechanical propulsion process, when the oil pressure drop rate exceeds a rate threshold value, determining a tunneling negative pressure period; acquiring a radar waveform dynamic sequence in the negative pressure time period; key feature parameters are extracted from the radar waveform dynamic sequence; marking a region which simultaneously meets the amplitude attenuation mutation rate and the phase deviation cumulant as a water gushing precursor target region; and by taking the water gushing precursor target region as a center, generating a conical diffusion preventive grouting field. According to the method, the dynamic sensing capability of the sudden water bursting risk is enhanced, the space-time continuity expression capability of the abnormal region is improved, and the precursor intensity can be quantitatively distinguished through the thermal value.

The invention relates to a device and method for a jet flow coordinated heading machine to penetrate through an underground diaphragm wall, the device for the jet flow coordinated heading machine to penetrate through the underground diaphragm wall comprises a cutter head, a cutter head cutter and a telescopic spray head, the cutter head cutter is arranged on the cutter head, the cutter head is provided with a telescopic hole position used for installing the telescopic spray head, and the axis of the telescopic hole position extends in the front-back direction; a reciprocating driving mechanism is installed in the telescopic hole site and used for driving the telescopic nozzle to stretch and retract front and back along the telescopic hole site. The telescopic nozzle can realize advanced rapid cutting of a front reinforcing steel bar structure, so that stirring and aggregation of reinforcing steel bars during rotary cutting of the cutterhead cutter are avoided, the cutting length of the reinforcing steel bars is reduced, and smooth deslagging of a spiral conveyor of the tunnel boring machine is facilitated; the technical problems that steel bars are difficult to cut and the cutting length of the steel bars is large in the process that an existing tunnel boring machine penetrates through an underground diaphragm wall are solved.

The invention relates to the technical field of tunnel boring machines, in particular to a method and system for evaluating the machine jamming risk of a rear supporting system of a tunnel boring machine, and the method comprises the steps: building a surrounding rock mechanical model; loading the tunnel face space supporting effect, the initial lining supporting effect and the reserved space between the rear matching system and the initial lining as boundary conditions of the model into the surrounding rock mechanical model; the tunneling process is propelled in a time increment mode; calculating a convergence response of the lining / supporting member based on the rigidity and the mounting state of the current supporting member; comparing the obtained convergence differences; repeating the steps until a preset termination condition is reached; the maximum convergence value obtained through time sequence calculation is compared with the reserved space between the rear supporting system and the initial lining, a jamming risk warning is judged and output, dynamic coupling calculation of tunnel convergence and supporting pressure is achieved through numerical iteration, and therefore the accuracy of risk assessment and the reliability of construction control are remarkably improved.

This invention discloses a real-time processing and database entry method for tunnel boring machine (TBM) construction time-series data based on integrated batch processing. The method includes: acquiring the original time-series data of the TBM and its associated original ring numbers; performing standardization processing based on a pre-built semantic rule base to obtain standardized records; identifying the TBM's operating status and determining the target ring number based on the standardized records and a judgment threshold; performing differentiated data cleaning strategies on the standardized records according to the operating status and evaluating the cleaning results to obtain a comprehensive quality score; and routing the standardized records to matching processing channels based on dynamic diversion conditions including the comprehensive quality score and arrival delay, and writing them into the time-series database using the target ring number as a reference. This invention overcomes the defects of missed physical anomaly detection and reference misalignment, improving the operational condition reproduction accuracy of the entered data.

This application provides a tunnel boring machine (TBM) and its control method, relating to the field of engineering machinery technology. The TBM includes: a cutterhead; the cutterhead is disposed at one end of a shield; at least one advance support assembly is disposed within the shield, and the advance support assembly has multiple support members; the advance support assembly is configured to, depending on the surrounding rock condition in front of the cutterhead, selectively extend the multiple support members from within the shield to above the cutterhead to form a temporary support zone, or drive the support members to retract from above the cutterhead back into the shield. According to the embodiments of this application, active support for the surrounding rock above the cutterhead is achieved through the advance support assembly based on the surrounding rock condition, and the machine does not need to be stopped during support, enabling continuous and rapid traversal of deformable surrounding rock sections, thus improving the TBM's adaptability to complex terrain, tunneling capacity, and tunneling efficiency.

This invention relates to a sealing structure for the main drive of a tunnel boring machine (TBM), its manufacturing method, and a temperature monitoring method. The sealing structure includes: a sealing element body for sealing the main drive of the TBM, the sealing element body having a lip that seals against the drive shaft of the TBM's main drive in its assembled state; and at least one temperature sensor embedded within the sealing element body near the lip, the temperature sensor being used to collect temperature values ​​at or near the lip. This invention solves the technical problems of low real-time temperature measurement accuracy, poor reliability of measurement results, and complex installation structure of the measuring device in the sealing structure of the TBM's main drive.

This invention relates to the field of tunnel construction technology, specifically to a method, medium, and equipment for judging and correcting abnormal strain signals in tunnel boring machines (TBMs). The method includes the following steps: simulating the mechanical response of the main drive structure under theoretically rated external load conditions; selecting strain measurement point locations based on the simulation results; deploying strain sensors at the selected locations on the actual TBM, and then performing threshold judgment on the strain signals collected by the strain sensors. If the signal of the strain measurement point channel exceeds the threshold, the channel is deemed to be faulty; if the signal of the strain measurement point channel does not exceed the threshold, a secondary judgment is performed using the same channel of its symmetrical measurement points; and a mapping model between equipment operating parameters and strain signals is established based on historical data from the strain measurement point channels. This invention avoids the interruption of operation of the digital twin system due to signal loss, greatly improving the system's continuous operation capability in harsh engineering environments.

The utility model provides a crushing device and a tunnel boring machine, and relates to the technical field of tunnel boring, the crushing device comprises a case, the inner wall of the case is rotatably connected with a movable cutter assembly, two ends of the inner side of the case are respectively and symmetrically provided with crushing protection frames, the inner walls of the crushing protection frames are provided with a plurality of fixed cutter assemblies, and the outer sides of the plurality of fixed cutter assemblies are provided with driving frames; a telescopic part connected with the driving frame is further arranged on the outer side of the machine box in a penetrating mode, a telescopic air cylinder is started to drive the connecting frame to be horizontally pushed towards one side, the two supporting rods and the multiple brake blocks located between the two supporting rods are pushed to synchronously move, the brake blocks can slide in inclined grooves in the moving process, and therefore the control frame is extruded to move towards the front side; the control frame can linearly slide on the telescopic limiting block in the moving process, so that the control frame and the fixed cutter assembly on the front side are guided, the distance between the fixed cutter assembly and the movable cutter assembly is changed, the distance can be finely adjusted according to rocks with different hardness, and the good crushing effect is achieved.

The control strategy allocation method and system for tunnel boring machine (TBM) control provided in this invention combines TBM state anomaly events with TBM state anomaly characteristics loaded during the TBM control process, schedules multiple corresponding prior TBM state anomaly events, and determines the TBM problem characteristics corresponding to the prior TBM state anomaly events. When the problem parameter value corresponding to the TBM problem characteristics is greater than a set value, the construction problem category characteristics corresponding to the multiple prior TBM state anomaly events are determined. Combining the construction problem category characteristics and the prior TBM state anomaly events, corresponding construction problem control nodes are scheduled to allocate construction problem control strategies for the prior TBM state anomaly events. In this way, construction problem control strategies can be allocated for TBM state anomaly events with TBM state anomaly characteristics.

1. The name of the design product: high and low voltage pre-installed substation (for shield machine). 2. The use of the design product: a special power distribution cabinet designed for shield machine, which includes high voltage, transformer and low voltage three parts, among which the high voltage includes 12KV / 24KV system and the low voltage includes 400V / 690V system, which can be compatible with TN and low voltage system. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The submitted view can clearly express, and the elevation view is omitted.

This invention provides a pneumatically controlled fence control group for tunnel boring machines, relating to the field of control group technology, including road passages. After the centralized control system is implemented, personnel control the opening and closing of the fence from a fixed, safe position, eliminating the need for frequent movement along vehicle auxiliary transport routes, thus ensuring the safety of personnel operating the fence and achieving "safety without human intervention." With the centralized control system, shift leaders can closely monitor the on-site safety production situation, ensuring smooth and safe production. This solves the problem of personnel being easily collided with vehicles during operation, which increases the risk of vehicle accidents. Furthermore, manually opening the fence is inefficient, and automatically opening the fence using sensors is prone to errors, leading to lower safety. During use, collisions between vehicles and the fence can cause damage, increasing maintenance costs.