244 results about "Underground cavern" patented technology

The invention relates to the technical field of rock mechanics, and discloses a rock three-dimensional reconstruction method and system based on multi-source information fusion, and the method comprises the steps: obtaining and preprocessing data, carrying out the spatial feature learning of a fusion feature vector through a 3D-CNN network, and constructing a three-dimensional voxel model of rock microscopic damage; converting the fused image data into a point cloud model of the underground cavern surrounding rock structure by adopting a three-dimensional reconstruction algorithm based on point cloud, and constructing a digital twin framework of the underground cavern surrounding rock structure based on an implicit surface reconstruction algorithm; feature parameters output by the three-dimensional voxel model and the digital twinning framework are used as input, and the optimal supporting opportunity and supporting parameters are output through an LSTM-CNN fusion model; in the underground engineering construction process, surrounding rock deformation data are collected in real time, and a supporting scheme is adjusted in real time through a depth deterministic strategy gradient algorithm; according to the method, the scientificity and timeliness of support design under complex geological conditions can be improved.

The invention provides an intelligent safety and stability assessment method, system and device for an underground cavern and a medium, and the method comprises the following steps: S1, building a three-dimensional geological model of the underground cavern according to initial geological exploration data; s2, multiple monitoring instruments are pre-buried in key parts of the underground cavern, and monitoring data are collected in real time; s3, constructing an underground cavern safety and stability evaluation model based on a deep learning algorithm; s4, inputting real-time monitoring data into an evaluation model, combining historical monitoring data and geological model information, analyzing and comparing with a three-dimensional numerical calculation result, adjusting geological parameters, performing reconstruction evaluation, and outputting a safety and stability level; and S5, according to an evaluation result, automatically generating early warning information and processing suggestions. According to the method, the problems of poor real-time performance and low data utilization rate of traditional evaluation under complex geological conditions are solved, and the intelligent level of construction safety monitoring of underground cavern groups such as hydropower stations and pumped storage projects can be effectively improved.

The invention provides a blast suppression method and system for an underground cavity of a pumped storage power station. The method comprises the following steps: configuring and deploying a multispectral gas sensor array; carrying out gas explosion limit calculation and risk assessment; calculating the risk level of explosion by using the prediction model; performing graded explosion suppression operation by using a graded explosion suppression execution module; combustible gas is guided to enter an inerting area by utilizing a space flow guide optimization module; and the ignition source blocking module is used for cooperative control to block an ignition source. The technical problems of low mixed gas explosion risk prediction and monitoring precision, low explosion suppression efficiency, slow response speed and relatively high operation and maintenance cost are solved.

The invention discloses a preparation method of a green high-performance industrial solid waste-based grouting material, and belongs to the field of industrial solid waste treatment and grouting reinforcement, and the preparation method comprises the following steps: performing dry mixing on red mud, slag, fly ash and cement which are dried and ground to specified fineness according to a preset proportion to obtain a uniform dry material; preparing a composite alkali activator from water glass and sodium hydroxide according to a molar ratio of 3: 1, premixing the composite alkali activator with water, and adding the dry material in batches to form wet slurry; and carrying out high-speed shearing and stirring on the wet slurry, and standing and curing to obtain the solid waste-based slurry which can be directly used for grouting. The method obviously improves the solid waste utilization rate, relieves the environmental pressure, and is suitable for related projects such as stratum settlement control, gushing water blocking, mine roadway broken rock mass supporting and underground cavity concrete lining crack repairing in tunnel and subway projects.

A rock mass cavern seismic dynamic stability analysis method considering layer vibration degradation comprises the following steps: determining transverse isotropic elastic mechanical behaviors, strength criteria and plastic potential functions of a layered rock mass, and constructing an elastic-plastic degradation constitutive model of the layered rock mass; determining a stratified rock mass layer surface strength parameter calculation formula under the earthquake action, determining a stratified rock mass rock mass strength parameter calculation formula, and establishing a stratified rock mass strength parameter evolution rule considering the layer surface vibration degradation effect; defining a layer damage degree index, and constructing a layered rock mass damage degree evaluation index under the earthquake action; and calculating the earthquake stability safety degree coefficient of the rock mass underground cavern, and determining the earthquake stability safety degree interval of the rock mass underground cavern. According to the method, the layer vibration degradation effect is considered, the safety evaluation result is more accurate, the application range is wide, the principle is simple, the physical significance is clear, the earthquake stability of the rock mass underground cavity is effectively analyzed, and the method has good practical engineering application prospects.

The invention provides a surrounding rock stability dynamic analysis method and system in the excavation process of an underground cavern group. The method comprises the steps that original surrounding rock monitoring data of the underground cavern group are collected at the self-adaptive sampling frequency through a distributed optical fiber sensor; performing real-time filtering, abnormal value primary screening and data compression processing on the original surrounding rock monitoring data to obtain target surrounding rock monitoring data; performing feature extraction on the target surrounding rock monitoring data to obtain a feature vector corresponding to the target surrounding rock monitoring data; and inputting the feature vector into a pre-constructed surrounding rock stability evaluation model for evaluation to obtain the stability level of the surrounding rock. Therefore, data redundancy can be prevented, key information omission is avoided, and the reliability of a surrounding rock stability evaluation result is improved.

The invention discloses an underground cavern harmful gas diffusion prediction simulation method based on a generative adversarial network, relates to the technical field of underground engineering safety monitoring, and provides the following scheme: acquiring three-dimensional point cloud spatial data, geological exploration data and real-time gas concentration monitoring values of an underground cavern, and unifying the three-dimensional point cloud spatial data, the geological exploration data and the real-time gas concentration monitoring values to an initial coordinate system; and extracting permeability parameters of the geological exploration data for discrete grading, associating a grading result to the space coordinates, and outputting permeability grading codes. According to the method, three-dimensional point cloud space data is converted into an obstacle distribution density function field, isovolumetric grid units are divided through a volume compensation algorithm in a dynamic deformation coordinate system, permeability grading code difference values, obstacle distribution density difference values and node concentration gradient differences of adjacent units are fused to construct a weighted edge, and the weighted edge is calculated. And a high-precision diffusion resistance topological structure diagram is generated, and the local resistance quantitative modeling problem caused by micro-scale concave-convex obstacles and permeability abrupt change is solved.

The application provides a kind of stability discrimination method of underground gas storage cavern initial support of compressed air energy storage power station, the method comprises: considering the expansion force and softening of hydrophilic surrounding rock of underground gas storage cavern, draw the response curve of surrounding rock in humidification process;Obtain the supporting parameters of underground gas storage cavern, calculate and draw the characteristic curve of supporting structure;The intersection point of the response curve of surrounding rock and the characteristic curve of supporting structure is determined, and the coordinate of the intersection point is obtained according to the coordinate of the intersection point, and the equilibrium supporting force of hydrophilic surrounding rock and supporting balance is obtained according to the coordinate of the intersection point;According to the safety factor of underground gas storage cavern, the stability of the cavern is judged according to the safety factor.The application fully considers the expansion force, softening and supporting force effect of surrounding rock in the relationship between surrounding rock and support, and uses safety factor as the stability index of underground gas storage cavern, which is suitable for the stability evaluation of underground cavern with complex surrounding rock characteristics, and the discrimination method is accurate and efficient.

The application discloses the technical field of image data processing, and provides a method, device and equipment for risk assessment of an underground cavern and a medium, which comprises the following steps: adopting a geometric segmentation algorithm to process point cloud data of a target cavern acquired in advance, combining a plane fitting technology, identifying a structural surface and extracting structural surface parameters; constructing a geological topology model according to the structural surface parameters, identifying key blocks of the geological topology model based on a preset block identification standard, and randomly disturbing the structural surface parameters to obtain multiple groups of sample parameters; determining the instability probability of each key block based on the sample parameters, performing risk assessment on the key blocks based on the instability probability, and obtaining a risk assessment result of the underground cavern. The application significantly improves the timeliness and efficiency of risk identification of underground engineering, and effectively solves the problems of accurate identification of a structural surface and risk quantization under complex geological conditions.

The invention relates to a large underground cavern group crustal stress field inversion method under a complex geological condition, and provides a method for inversing a crustal stress field of a large underground cavern group by taking a river valley center line or a ridge line as an inversion numerical model boundary to solve the problems that underground cavern group crustal stress measured data is discrete and difficult to accurately predict under the background of deep river valley terrain and multi-fault development. And selecting actual measurement points which are far away from the fault and are in three-dimensional distribution. The method comprises the following steps: acquiring a displacement boundary and a gravitational acceleration magnitude of a three-dimensional numerical model through limited measured data by adopting stepwise multiple linear regression and evolutionary neural network joint inversion, positively loading the displacement boundary and the gravitational acceleration magnitude to a model boundary to obtain a regional crustal stress field, and extracting measured point data for preliminary verification; and simulating caving excavation, and analyzing whether the stress concentration area is consistent with the observed stress type damage position or not. The method integrates the advantages of the two methods, more optimal solutions can be selected, the problem that precision and calculated amount are difficult to consider in stress field prediction of the complex structure motion area is solved, and the method is suitable for crustal stress field prediction of the complex structure area.

The invention provides a nonlinear finite element discrimination method for a critical stable section of an underground cavern, and the method comprises the steps: determining a rock mass strain softening parameter according to a rock mass mechanical test in actual engineering; performing secondary development on a rock mass constitutive model based on the rock mass strain softening parameters; based on the rock mass constitutive model after secondary development, a nonlinear finite element initial model for solving the critical stable section of the underground cavern is constructed; the nonlinear finite element model is solved, and the overall tangent rigidity of the model in the calculation time step is obtained; based on the overall tangent stiffness, calculating to obtain a minimum characteristic value of an overall tangent stiffness matrix; and based on the minimum characteristic value, distinguishing the critical stable section of the underground cavern. The method directly and quantitatively reflects the essential characteristics of rigidity loss and bearing capacity reduction of the whole cavern structure system after a complex nonlinear deformation path including strain softening is considered, so that the critical instability moment and the potential instability section are accurately captured.

The invention relates to the technical field of stratified rock mass numerical simulation, and discloses a stratified rock mass numerical simulation method based on a hybrid progressive failure model, and the method comprises the steps: obtaining an engineering rock mass structural plane of a research area, and grading geological structural planes such as faults, rock veins and fractures of surrounding rock of an underground cavity based on structural plane features; through three-dimensional laser scanning, obtaining the spatial three-dimensional coordinates of each sampling point on the surface of the footrill, obtaining the point cloud of a measured object, and connecting adjacent discrete points; carrying out secondary sampling on the spliced point cloud data, carrying out plane fitting to obtain a structural plane occurrence, and constructing a footrill simulation model; analyzing the occurrence of the structural surface by the footrill simulation model to obtain a stratified rock mass value, and dividing the structural surface in the rock mass into a rigid structural surface and a weak structural surface according to the character, weathering degree, tightness degree and filler condition; and outputting the data to a cloud platform. According to the invention, manual intervention is reduced, and the safety, accuracy and efficiency of measurement are improved.

The invention discloses a compressed air energy storage underground cavern temperature adjusting structure and a manufacturing method thereof, and belongs to the technical field of compressed air energy storage, the temperature adjusting structure is sequentially provided with a flexible sealing layer, a phase change temperature adjusting layer and an optical fiber sensing layer from inside to outside, the optical fiber sensing layer is connected with the inner wall of a concrete lining, and the phase change temperature adjusting layer is used for stabilizing temperature fluctuation in a cavern; the optical fiber sensing layer is used for monitoring temperature and a strain field in real time and is electrically connected with an external fiber grating sensor grid monitoring system through a sensor lead. According to the method, latent heat can be absorbed or released through the phase change process, temperature fluctuation in the cavern can be effectively stabilized, material fatigue and structural damage caused by thermal stress circulation are reduced, real-time monitoring of the temperature and strain of the sealing layer is achieved, and the sensing capacity and the early warning level of the operation state of the cavern are improved.

The invention belongs to the technical field of pumped storage power station intelligent data processing, and discloses a pumped storage power station data processing method and system based on a space-time knowledge graph. The 5G Internet of Things dynamic data, the BIM + GIS static data and the construction log semi-static data are deeply associated with a millisecond-level timestamp based on a national 2000 geodetic coordinate system; in an underground cavern excavation scene, real-time displacement monitoring data can be synchronously matched with BIM component deformation simulation, the problem of monitoring-simulation asynchronization is solved, obvious lag does not exist in progress deviation early warning any more, the management and control delay risk caused by data splitting is effectively avoided, and the dynamic safety of underground cavern group construction is guaranteed; in a data acquisition stage, a data standard is directly embedded into a source through a standard semantic pre-labeling module, and unified semantic tags such as unique component identifiers and process codes are preset for various types of data.

The invention relates to the technical field of geotechnical engineering underground cavern supporting, and discloses a self-adaptive anchor rod group supporting control system and method based on deep learning, original parameter data of anchor rod nodes are collected in real time through a sensor, and the original parameter data are preprocessed to obtain preprocessed parameter data; anchor rod nodes are defined as game participants, and a reward function is adopted to enable the anchor rod nodes to converge to global optimum in the game; an independent Q learning framework is adopted to deploy an anchor rod group collaborative decision model for each anchor rod node, a CNN network is used to extract geologic features, and LSTM network modeling time sequence dynamics is combined to generate a strategy network and a value network; each anchor rod node generates a control action through a strategy network based on a real-time state and a game reward, and dynamically updates strategy network parameters and value network parameters; the intelligent level and the supporting effect of anchor rod group supporting control are remarkably improved.

The invention relates to the technical field of underground engineering monitoring, in particular to an underground cavern monitoring and early warning method and system based on machine learning. The method comprises the following steps: acquiring stratum rock mass parameters and geological structure labels of a target cavern; generating a virtual geological disaster scene data set by using the generative adversarial network; a combined feature tensor of InSAR point cloud phase fluctuation, anchor rod stress meter reading and composite electrode potential gradient is extracted through a time sequence convolution layer; the fusion weight is optimized, and a pre-training strategy network is output; a model independent element learning adapter is adopted, and actual cavern monitoring data are utilized to carry out fine tuning on the pre-training network to obtain a disaster response model; and finally, the potential gradient of the composite electrode is monitored in real time, a displacement and stress cooperative control instruction is generated through the model, and a rockburst risk grade instruction and a target reinforcement area coordinate are issued. According to the method, the physical rationality of the virtual data and the geological adaptation capability and interpretability of the model are effectively improved.

The invention provides a block model construction method for underground cavern group surrounding rock stability analysis, which comprises the following steps: generating an initial block according to a topological relation between a fault and a joint in a three-dimensional geologic model, and carrying out geometric reconstruction on a block interface through Boolean operation to eliminate overlapping; automatically matching lithology types of the divided blocks with an engineering attribute database, dynamically distributing elastic modulus, Poisson's ratio and tensile strength, establishing rock attribute mapping, synchronously iteratively solving interaction equations of a mechanical deformation field, a seepage pressure field and a temperature stress field in a unified solver, and performing multi-physics field coupling; a potential sliding surface is automatically identified according to a multi-physics field coupling result, a sliding surface friction coefficient and shear strength are fused to calculate a safety coefficient, non-overlapping block division is carried out by adopting a topological relation of faults and joints, an interaction equation of a mechanical deformation field, a seepage pressure field and a temperature stress field is synchronously iterated through a unified solver, and a non-overlapping block is obtained. And accurate quantitative analysis of surrounding rock stability is realized.

This invention discloses an underground karst cave penetration detection device, relating to the field of underground karst cave detection technology. It includes a placement plate with two F-shaped plates fixedly connected to its top. A sampling and detection mechanism is disposed on one side of each of the two F-shaped plates. A cleaning mechanism is provided on the surface of the placement plate. The cleaning mechanism includes a sweeping unit disposed on the top of the placement plate and a rinsing unit disposed on one side of the sweeping unit. The sweeping and rinsing units work together to achieve residue removal. During sampling, the sampler surface can be rinsed and cleaned in a timely manner, ensuring that sample residue on the sampler surface can fall off, preventing sample mixing after sampling, effectively ensuring the accuracy of subsequent detection and improving the detection effect.

The application provides a path analysis and risk identification method and system for external water infiltration of a hydropower station cavern group, which dynamically simulates the propagation path of water flow by establishing a catchment network model of the underground cavern group, comprehensively evaluates the risk of external water infiltration, and displays the water flow path, thereby achieving comprehensive path analysis and risk identification of external water infiltration of a complex underground cavern group. The application effectively solves the problems of low accuracy of the result of risk evaluation of water flow infiltration of the hydropower station cavern group and difficulty in accurately predicting the propagation path and the range of the water flow, provides a scientific water flow management and protection scheme for the hydropower station, and provides scientific technical support for the anti-infiltration design, risk management and emergency response of the underground powerhouse of the hydropower station, and has strong engineering practical significance.

The invention discloses hydraulic and hydro-power engineering underground cavern high and thin rock wall excavation equipment and a method thereof.The hydraulic and hydro-power engineering underground cavern high and thin rock wall excavation equipment comprises an insertion pipe, a suction mechanism, an air blowing mechanism, an exhaust mechanism, a filtering mechanism and a sealing mechanism, the insertion pipe is used for being inserted into an excavated pile hole, and the suction mechanism is used for pumping out gravel at the bottom of an inner cavity of the insertion pipe; the air-blowing mechanism is used for blowing air to the bottom of an inner cavity of the insertion pipe for pressurization, the exhaust mechanism is used for exhausting compressed air generated by the air-blowing mechanism, the filtering mechanism is used for preventing gravel from being exhausted out of the insertion pipe through the exhaust mechanism, and the sealing mechanism is used for sealing the suction mechanism and the insertion pipe. By means of the arrangement of the suction mechanism and the air blowing mechanism, compressed air can enter the bottom of the insertion pipe, the upward moving tendency of broken stone is increased, the broken stone can be stably pumped out, and the pumped broken stone can be discharged into the insertion pipe and located at the top end of a guide cover to be collected; and the stability of gravel suction and collection is ensured.

The application provides a kind of deep-buried underground cavern radon enrichment over standard comprehensive treatment method and system, comprising: step 1. Collect original data of the cavern to be treated, and obtain monitoring data;Step 2. Construct temperature-seepage-stress-radon transport multi-field coupling numerical simulation model to carry out temperature-seepage-stress-radon transport multi-field coupling numerical simulation on the cavern to be treated and the surrounding area;Step 3. Based on the numerical simulation results and combined with field survey, determine the radon enrichment area and enrichment degree of the cavern, and determine the radon enrichment reason;Step 4. Based on the obtained radon enrichment reason, take corresponding radon treatment measures;Step 5. Radon monitoring is carried out on the radon enrichment area of the cavern, if it meets the standard, the treatment is completed, if it does not meet the standard, return to step 3 until the standard is met. The application can determine the distribution characteristics and evolution law of the cavern radon, take comprehensive and optimized treatment measures, improve the treatment effect, and reduce the design and maintenance cost of deep-buried underground cavern.

The invention provides an underground cavern group geological analysis method based on a TGS technology and a CT technology, and the method comprises the steps: scanning the geological conditions of an underground cavern group in the horizontal direction through the TGS technology, and obtaining first geological data in the horizontal direction; forecasting the geological conditions of the underground cavern group in the vertical direction through a CT technology to obtain second geological data in the vertical direction; fusing the first geological data and the second geological data to generate a three-dimensional geological model; based on the three-dimensional geologic model, identifying the position and the distribution range of unfavorable geologic bodies in the underground cavern group, and analyzing the geological characteristics of the surrounding rock to obtain an analysis result; according to the analysis result, the spatial distribution information of the unfavorable geologic body and the corresponding geological phenomenon description are output, the misjudgment risk caused by data discontinuity of a traditional method is overcome, and the recognition capacity for complex geological phenomena such as inclined strata and cross fractures is improved.

This invention relates to the field of geological monitoring technology and discloses a method and system for monitoring the displacement of surrounding rock in underground caverns based on self-locking compensation. It aims to solve the problem of poor accuracy in existing methods for monitoring the displacement of surrounding rock in underground caverns. The main components include: implanting self-locking anchors at the bottom of the borehole; implanting corresponding measuring point anchors at multiple measuring points within the borehole; and fixing the self-locking anchors using hydraulically driven flanges; connecting reference transmission rods to the self-locking anchors; connecting corresponding displacement transmission rods to the measuring point anchors; measuring the reference displacement corresponding to the reference transmission rod and the measured displacement of each measuring point corresponding to the displacement transmission rod; determining the displacement transmission coefficient corresponding to each measuring point under experimental conditions; and compensating the measured displacement based on the displacement transmission parameters and the reference displacement to obtain the true displacement of each measuring point. This invention improves the accuracy of monitoring the displacement of surrounding rock in underground caverns and is particularly suitable for underground engineering projects with overall settlement or tilting.

The invention mainly relates to the technical field of energy underground storage, and provides a feasibility evaluation method for applying a hydropower station construction adit to a compressed air energy storage underground cavern, and the core of the method is as follows: obtaining adit engineering geological conditions, hydrogeological conditions, shape and size parameters and mechanical property parameters of adit surrounding rock; establishing a three-dimensional numerical model of the compressed air energy storage cavern; according to the method, the boundary and the fixed constraint condition of the three-dimensional numerical model analysis of the gas energy storage cavern are set, the evaluation index is selected, the feasibility of the adit used for the compressed gas energy storage underground cavern under the target operation pressure is evaluated based on the selected evaluation index, and the feasibility of the hydropower station construction adit used as the compressed gas energy storage cavern can be rapidly and conveniently analyzed. And guidance is provided for actual engineering construction.

The present invention relates to the field of underground engineering, and more specifically, to a compressed gas energy storage underground cavern support structure and its design method. The present invention provides a compressed gas energy storage underground cavern support structure and its design method, which are suitable for the design of compressed gas energy storage underground gas storage chamber structures. By simplifying the structure, decomposing the functions of each layer, and specifically selecting materials and designing the structures of each layer, the support structure coordinates the deformation of each layer, fully utilizing the bearing capacity of the surrounding rock, and ensuring the sealing of the cavern. Compared with existing structures, this structure does not have a secondary lining or a thicker steel lining, which greatly improves the economic efficiency.

The invention provides an underground cavern axis optimization method, and relates to the field of water conservancy and hydropower engineering, the initial stress condition range of surrounding rock before cavern excavation is obtained through regression and inversion calculation of a crustal stress field, and an indoor true triaxial loading test is carried out for simulation; parameters such as crack initiation stress, damage stress and peak stress in different stress states and damage evolution characteristics are obtained, so that the damage risk coefficient range of each damage mode is obtained, finite element analysis is carried out on each cavern axis scheme based on the damage risk coefficient range of each damage mode, and the damage evolution characteristic of each cavern axis scheme is obtained. According to the method, the spatial range of the damage mode of each cavern axis scheme is obtained, the corresponding cavern axis scheme is screened out according to the damage mode and the corresponding spatial range, so that the corresponding underground cavern axis is obtained, the problem that how to select the underground cavern axis is not clear in the prior art is solved, and the method is suitable for underground cavern axis selection.

The invention discloses an underground cavern surrounding rock stability determination method, and relates to the technical field of underground engineering monitoring, and the method comprises the steps: constructing a surrounding rock stability causal diagram according to a surrounding rock fusion feature sequence, and carrying out the causal analysis and delay relation fusion through a causal relation determination method, and obtaining a surrounding rock stability causal network diagram; performing path analysis on the surrounding rock stability causal network diagram to obtain a surrounding rock stability master control path, and establishing surrounding rock stability evaluation indexes for quantitative scoring to obtain a surrounding rock stability scoring time sequence; analyzing the surrounding rock stability scoring time sequence and the change trend and visual displacement abnormity of the preprocessed surrounding rock monitoring data by using a surrounding rock instability space-time early warning model to obtain a surrounding rock early warning grade and an early warning area; according to the method, causal association modeling is performed on the surrounding rock fusion feature sequence, so that the sensitivity and response speed of abnormal evolution are improved, and technical support of reliability and operability is provided for safety management of the surrounding rock of the underground cavern.

The invention relates to the field of underground cavern group blasting construction, and particularly discloses an underground cavern group blasting construction working face dust control intelligent spraying method which comprises the steps that acoustic information and scene sequence images of a construction site are collected, and working face blasting construction procedures are obtained; after it is confirmed that blasting is completed on the construction site, real-time dust concentration space distribution information of the construction working face is obtained according to the scene sequence image; a spraying working position is determined according to the dust concentration space distribution information, and a navigation positioning system is used for autonomous navigation to reach the spraying working position; spraying parameters are determined according to the dust concentration space distribution information, and spraying work is started; the spraying effect is evaluated according to the real-time dust concentration space distribution information, and spraying work is stopped after the dust concentration control condition reaches the standard. The invention further provides a corresponding device. According to the method and the device, the dust concentration can be obtained in real time, and intelligent rapid dust falling autonomous operation can be implemented.

The invention provides a hydropower station underground cavern position optimization method, and relates to the technical field of hydropower stations, and the method comprises the steps: screening the potential arrangement position of an underground cavern according to the ground stress, geological conditions and hub arrangement conditions of an engineering area; distribution of the workshop structural surfaces under the potential arrangement positions is analyzed, potential unfavorable blocks and the positions of the potential unfavorable blocks are calculated and analyzed, and the positions comprise the internal position of the hydropower station and the structural surface combination; calculating the distance between the potential arrangement position and the plant control fault; from the aspect of block stability, the stability is determined based on the distribution of plant structural surfaces and potential unfavorable blocks, the anti-seepage difficulty is determined based on the distance with a plant control fault, the stability, the anti-seepage difficulty and hub arrangement conditions are comprehensively considered, and the optimal arrangement position of the underground cavern is screened. By the adoption of the scheme, the optimal selection of the arrangement position of the underground cavern of the hydropower station is achieved.