34results about How to "Reduce engineering risk" patented technology

The invention relates to the technical field of numerical simulation, in particular to a grid model generation method for the fluid displacement process of well cementation engineering. The method comprises the following steps: acquiring geological data of a well cementation project area, and constructing an initial geological model; well cementation engineering design data are obtained, well cementation engineering topological structure modeling is carried out, and a well cementation engineering topological structure model is obtained; according to the initial geologic model and the well cementation engineering topological structure model, fluid dynamic simulation is carried out, and a fluid characteristic matrix is obtained; performing fluid displacement process simulation according to the fluid characteristic matrix to obtain fluid displacement process data; performing fluid displacement process optimization on the well cementation engineering design data based on the fluid displacement process data to obtain optimized fluid displacement process data, and performing resource allocation redistribution on the well cementation engineering design data according to the optimized fluid displacement process data to obtain optimized well cementation engineering design data. According to the invention, the accuracy of fluid displacement simulation can be improved.

The invention discloses a prediction model-based anchor mooring force prediction method for an immersed tube workboat. According to the method, water area environment characteristics, ship body posture characteristics, anchor mooring parameter characteristics and construction state characteristics are used as key data characteristics for predicting the anchor mooring force of the immersed tube construction ship; according to the method, an anchor cable tension prediction model is constructed, historical data, reduced scale physical model test data, numerical simulation data and short-term test data are subjected to data fusion to form a data set, and the model is trained and verified; and finally, predicting the tension value of each anchor mooring line on line by using the trained anchor mooring line tension prediction model. According to the method, the stress condition of each anchor mooring line can be predicted in real time under multiple working conditions (such as sinking, leveling, steering and self-storage states), and powerful support is provided for accurate positioning and safety control of installation and construction of the immersed tunnel.

The invention relates to a water-rich soft soil stratum deep foundation pit dewatering excavation coupling analysis method. The method comprises the steps that an SOIL module on a large-scale commercial finite element software ABAQUS calculation platform is used, a Biot consolidation control equation is adopted to describe the coupling effect of soft soil stress-pore unsteady flow under foundation pit dewatering excavation, a finite element model is established, and in combination with field monitoring experience of foundation pit excavation construction on an adjacent environment influence range, an in-pit dewatering mode is adopted to determine the soft soil stress-pore unsteady flow coupling effect under foundation pit dewatering excavation. The calculation time and the calculation precision are comprehensively considered, and step-by-step refined simulation in the foundation pit construction process is achieved. According to the method, the fluid-solid coupling effect in the dewatering excavation process of the deep foundation pit in the water-rich soft soil stratum can be accurately simulated, the influence of foundation pit excavation on the surrounding environment is effectively predicted, and the engineering safety and reliability are improved.

The present invention relates to the technical field of tunnel construction, and provides a construction method for the expansion and reconstruction of a single-sided widening of an existing tunnel. The starting section of the existing tunnel for expansion and reconstruction is determined according to lining detection information and surrounding rock survey information. The starting section is located in the middle section of the existing tunnel. The starting section is expanded and reconstructed, and then the expanded and reconstructed starting section is used to perform advance support on adjacent tunnel sections in the first direction, and the expanded and reconstructed starting section is used to perform advance support on adjacent tunnel sections in the second direction. The remaining tunnel sections in the first direction are expanded and the remaining tunnel sections in the second direction are expanded to complete the expansion and reconstruction of the existing tunnel. The present application sets the starting section in the middle section to solve the problem of limited construction surface, and can carry out synchronous construction from both ends of the starting section. It can increase multiple construction surfaces according to the construction period requirements, and can also reduce the disturbance of the surrounding rock, reduce the engineering risk, and shorten the construction period.

This invention discloses a vibration damper for an afterburner with an insertion tube, belonging to the design field of afterburners. It includes a vibration damper, a flame stabilizer, and a central cone. The vibration damper is located at the downstream end of the outer bypass channel, closely attached to the inner wall of the afterburner shell, forming a double-wall structure. Cold air from the outer bypass flows through it, cooling the wall surface and absorbing oscillation energy, thus suppressing high-frequency vibrations in the combustion chamber. The flame stabilizer is located in the inner bypass channel, its inner end connected to the central cone. The inner bypass and part of the outer bypass airflow meet here, forming a low-speed recirculation zone, achieving fuel-air mixing and stable ignition. The vibration damper has openings, employing a deep-hole structure with an insertion tube. The insertion tube is placed within a hole in the vibration damper's base, significantly increasing the equivalent neck length of the vibration damper while maintaining the same main plate thickness. This shifts the peak sound absorption frequency towards lower frequencies, improving the vibration damper's absorption capacity for low-frequency oscillation modes in the afterburner.

The invention discloses a reef limestone diagenetic phase identification method based on acoustics and nuclear magnetic resonance parameters, and relates to the technical field of reef limestone diagenetic phase identification. The reef limestone diagenetic phase identification method based on acoustics and nuclear magnetic resonance parameters comprises the following steps: S1, determining a research area, and collecting rock samples in the area; s2, carrying out basic observation on the rock sample obtained in the step S1, and recording measured data; s3, performing slice observation on the rock sample observed in the step S2, and recording measured data; s4, performing chemical analysis and physical test on the rock sample sliced in the step S3, and recording measured data; the lithogenous phase identification method with universality is established by using the acoustic parameters and the nuclear magnetic resonance parameters, the quality of the reservoir can be evaluated, meanwhile, the potential high-quality reservoir position can be predicted in an unknown area, the production potential of the reservoir can be evaluated, and a proper reservoir transformation scheme can be designed to improve the oil and gas yield.

The invention relates to the technical field of pipe pile customization, in particular to a pipe pile length precise customization method which comprises the following steps: (1) analyzing a land sample at a fixed point and generating a geological exploration report, (2) determining the rock entering depth position of the tubular pile model; (3) selecting a test pile and collecting a pressure value; (4) drawing a pressure curve graph; (5) integrating the pressure curve graph and drawing a to-be-customized tubular pile pressure curve; and finally, the difference between the soil layer elevation and the ground elevation, which is reached by the final pressure value, is the pile length of the pipe pile to be customized. By means of comprehensive application of geological survey, the BIM technology, data analysis and the like, precise customization of the pile length of the pipe pile is achieved. The method not only can improve the construction efficiency and reduce the engineering risk, but also can optimize the resource allocation and improve the engineering quality, and is an indispensable part in the modern construction engineering.

The utility model relates to long distance big longitudinal slope sand and mudstone interbedded shield fast tunneling key technical field especially relates to a kind of water-rich sand and mudstone interbedded shield machine soil bin intelligent mixing device, solve the problem such as the limited stirring range in soil bin, low mud circulation rate, increase the rubber stick range in soil bin, improve mud circulation rate, including along the soil bin intelligent mixing device of fixed shield machine axial, the soil bin intelligent mixing device is connected with shield machine control system, the soil bin intelligent mixing device includes variable frequency motor, telescopic link, transmission shaft and initiative mixing device;The variable frequency motor is fixed on the back side wall of soil bin, the output of the variable frequency motor is connected the telescopic link, the front end of the telescopic link is connected the transmission shaft, the front end of the transmission shaft is installed with fender, multiple initiative mixing devices are equipped on the front side of the fender;When slag in soil bin is more accumulation, shield machine control system drives telescopic link to lengthen, increase stirring range.

The invention discloses an offshore wind power project soil space variability analysis method. The method comprises the steps that drilling data and CPT data of an offshore wind power project are collected and preprocessed; a mathematical model is established, a correlation function of drilling and CPT is constructed, and distribution characteristics of model parameters are obtained; taking the obtained distribution as initial estimation, and for any to-be-predicted point, obtaining an optimal predicted value of the point in a spatial domain according to the known data points and spatial distribution characteristics of the to-be-predicted point; the prediction result is verified and corrected by using actually measured data obtained in the actual construction process; and a high-precision soil body spatial variability prediction model is obtained through repeated iterative optimization and is used for guiding fan foundation construction scheme formulation, optimization and engineering risk assessment. The method provides data support for the whole wind power plant.

The application discloses a kind of marine engineering steel plate strength detection devices, it is related to marine engineering steel plate strength detection technical field, including data processing module;Data processing module includes contact state analysis unit, steel plate strength analysis unit;Contact state analysis unit carries out analysis to the contact state of indenter and steel plate, obtains the moment when indenter and steel plate contact, the time region between contact moment and current moment is marked as strength detection time zone;Steel plate strength analysis unit carries out state analysis to the strength of steel plate in strength detection time zone and obtains steel plate strength analysis result.The application determines the moment when indenter and steel plate contact and reasonably demarcates strength detection time zone by the contact state analysis unit pressure value operation and comparison mechanism, lays the analysis foundation for subsequent detection, and steel plate strength analysis unit discriminates steel plate quality by index calculation and evaluation process, guarantees the reliability of steel plate quality.

This invention discloses a system for predicting the risk of recurrence after lumbar disc herniation surgery based on domain offset correction, relating to the fields of medical data processing and clinical disease risk prediction technology. The system acquires multimodal clinical and imaging feature vectors and follow-up outcome data from training and independent validation cohorts. It trains a center classifier to quantify and correct for differences in multi-center data distribution, calculates and normalizes the importance weights of each training case, trains a survival analysis base learner based on the processed weights, and performs stacking and ensemble integration. The final deployment model is determined by combining the independent validation case cohort. The final deployment model is then used to infer the risk of recurrence in target patients after lumbar disc herniation surgery, outputting individualized recurrence risk scores, risk stratification, and recurrence-free survival curves. This improves the robustness and reliability of the risk prediction system in cross-center scenarios and is suitable for follow-up management and clinical decision support after lumbar disc herniation surgery.

This invention relates to the field of intelligent control technology for bridge-building machines, specifically to a micro intelligent bridge-building machine system and control method. The system mainly includes diagnosing the target equipment using a fault diagnosis model, outputting the current warning level using an early warning model, and configuring the system to, upon receiving a control signal from a user terminal requesting modification of the first equipment's operating parameters, acquire the user terminal's job level information. Based on the warning level and the user terminal's job level information, it determines whether to proceed with modifying the first equipment's operating parameters. Through this scheme, after a fault warning is issued and the modification of the first equipment's operating parameters is accepted, multiple levels of user terminal information are verified, and encrypted transmission is performed. This significantly prevents malicious tampering and reduces the overall project risk.

The invention discloses a pipeline multi-flow-state FVM simulation method based on a one-dimensional gas-water fluid model, and the method comprises the following steps: constructing and improving a one-dimensional control equation of a pipeline unsteady gas-water fluid model, so that the equation can meet the requirements of plug-shaped transient flow, pressurized water hammer transient flow and free surface transient flow at the same time; and seamless connection among different flow states is realized through a unified solution framework. A finite volume method (FVM method) in a Rohl-Philip format is adopted to solve the three flow states in a unified manner, the challenge that different flow states are suitable for thermodynamic basic relations and wave velocity equation differences is overcome, and the improved one-dimensional multi-equation fluid model can simulate multiple flow states at the same time. And finally, performing model evaluation verification on simulation of three flow states by using the model. The method provides stability and precision guarantee for real-time control simulation of an actual long-distance water delivery system, a rainfall flood system and a long-distance water supply system, and is of great significance in improving simulation precision and reliability of complex water conservancy projects.

The application discloses a diversion tunnel alternating flow staging gate closing water storage structure and method, relates to the technical field of water conservancy and hydropower construction, and comprises a first diversion tunnel, a second diversion tunnel and a three-face stoplog gate, the first diversion tunnel is provided with a first water inlet and a first water outlet at two ends, and is further provided with a third water inlet, the setting height of the third water inlet is higher than that of the first water inlet; the first diversion tunnel is further provided with a first gate slot and a third gate slot, and the first gate slot and the third gate slot are located at the front and rear of the third water inlet respectively; the second diversion tunnel is provided with a second water inlet and a second water outlet at two ends, the setting height of the second water inlet is higher than that of the first water inlet and is lower than that of the third water inlet; the second diversion tunnel is vertically provided with a second gate slot at the second water inlet; and the stoplog gate is formed by parallel and coplanar splicing of a plurality of baffles. The application can solve the problem that the downstream river channel cannot be effectively prevented from being dehydrated and cut off under the premise of ensuring economy and safety.

The application belongs to the technical field of electric power survey design, and discloses an electric power survey design integration method and system for smart grid construction, which comprises the following steps: extracting preset engineering characteristics of existing survey results in a current engineering area, combining current engineering planning condition characteristics to form a sample set; inputting the sample set into a pre-trained graph neural network to output engineering application probability and instability risk score of each survey result, wherein the nodes of the graph neural network correspond to single survey result, and the edges are constructed based on spatial adjacency, engineering correlation or common participation in design relationship; generating design consistency constraints for survey results meeting a preset threshold; and finally checking the compliance of the design scheme and the constraints. The method realizes substantial integration of survey and design, improves design efficiency and quality, and reduces the risk of rework.

The application discloses a water-rich soft rock foundation pit adjacent tunnel stability control method based on artificial intelligence, which comprises the following steps: prior prediction based on a finite element model, monitoring sensor arrangement, construction and training of a neural network model, scheme safety verification, initial decision based on the neural network model, initial grouting scheme execution, real-time monitoring-based cyclic intelligent decision and online incremental learning; training data is generated by establishing a three-dimensional finite element model containing a water-soil coupling mechanism, a neural network model capable of mapping the complex nonlinear relationship between monitoring parameters and optimal grouting schemes is constructed and trained, dynamic decision is made, and the grouting scheme that has passed safety verification is output and the model is continuously optimized; the method realizes the whole-process closed-loop intelligent control from intelligent prediction, real-time decision, safety control to self-optimization, and significantly improves the guarantee capacity and risk control level of the stability of the adjacent tunnel during foundation pit excavation in the water-rich soft rock complex stratum.

The invention discloses a multifunctional rock core shear strength testing device and a testing method. The device comprises a base body, a testing cavity located in the base body, a step surface located at the bottom end of the testing cavity and a containing cavity communicated with the testing cavity and located below the testing cavity, and the containing cavity is adjacent to the step surface; the axial positioning assembly is matched with the step surface; the shearing shaft is positioned in the testing cavity and is over against the accommodating cavity; the axial positioning assembly is used for axially positioning one end or two ends of a tested rock core, and the shearing shaft is used for loading the tested rock core in the radial direction. The invention provides a multifunctional rock core shear strength testing device and a multifunctional rock core shear strength testing method. The problem that in the prior art, a rock shear strength testing device is poor in adaptability to rock cores in the petroleum industry is solved.

The present invention belongs to the technical field of rock mass crack analysis in tunnels, and specifically discloses a method and system for correlation analysis of rock mass cracks in tunnels, the method comprising: respectively obtaining three-dimensional occurrence information of crack surfaces on the surface of a rock mass face to be predicted, and occurrence information of cracks in a borehole; inputting the obtained information into a trained crack correlation prediction model to obtain coplanar crack surface numbers; the present invention can not only more accurately obtain crack occurrence information by comprehensively analyzing digital feature attributes of cracks, but also conduct in-depth research on the correlation between cracks, thereby comprehensively improving the accuracy and reliability of tunnel engineering design and construction.

The invention provides a multi-parameter rockburst prediction method and system based on machine learning, and relates to the technical field of deep tunnel construction. The method comprises the steps that crustal stress information of a construction area is measured through a hydraulic fracturing method, and tangential crustal stress of a tunnel is determined; in the area where the rockburst tendency needs to be evaluated, on-site rocks are collected, and a rock sample is prepared; performing a uniaxial compression test on the test piece to obtain the uniaxial compressive strength of the test piece; performing a Brazilian disc splitting test on the test piece to obtain the tensile strength of the test piece; calculating a crustal stress coefficient, a brittleness coefficient and an elastic energy index of the surrounding rock according to the measured tangential crustal stress, uniaxial compressive strength and tensile strength; collecting existing rockburst data, and establishing a rockburst case database; training a plurality of machine learning models by using the rockburst case database, and establishing a rockburst strength prediction model; and inputting the crustal stress and the surrounding rock parameters into the rockburst strength prediction model, and predicting the rockburst strength.

This invention provides a sealing structure for building openings, relating to the field of building construction technology. It includes a cross-section enlargement structure installed on the exterior of corner columns; a main beam positioned along the stress direction of the building opening, with both ends connected to the cross-section enlargement structures on two adjacent corner columns; and secondary beams, which are composite beams composed of H-beams and a superstructure plate. The H-beams span between the main beams and are fixedly connected to them, with the superstructure plate covering the H-beams. This invention enhances the load-bearing capacity and deformation resistance of existing corner columns by installing cross-section enlargement structures on their exteriors, thereby improving the stability of the entire sealing structure. The newly added main beams are arranged along the stress direction of the building opening, and the new secondary beams are a combination of H-beams and a superstructure plate. The H-beams provide high-strength load-bearing capacity, while the superstructure plate further distributes the load, thus improving the overall bending stiffness and load-bearing capacity of the sealing structure.

This invention provides a hierarchical collaborative control method and system for a heat pump thermal management system in electric vehicles, relating to the field of electric vehicle thermal management. The method includes: collecting raw operating data and performing preprocessing on the raw operating data; constructing an upper-level state space and a lower-level state space, and setting upper-level action spaces and lower-level action spaces that match each level of state space; vectorizing the upper-level state space, lower-level state space, upper-level action space, and lower-level action space; constructing and training a high-fidelity heat pump thermal management simulation environment model containing upper-level and lower-level strategy modules; obtaining the current upper-level state vector and the current lower-level state vector; and using the trained high-fidelity heat pump thermal management simulation environment model for online inference to obtain actual actuator control commands. This invention can effectively alleviate the long-term and short-term conflict between passenger cabin comfort, battery thermal safety, drive system thermal reliability, and vehicle energy consumption.

The application provides a signal carding method and system for control system reconstruction, which comprises the following steps: obtaining multi-source engineering files of a control system to be reconstructed and extracting signal related information; performing consistency comparison on overlapping information from different files for the same object, and recording inconsistent available information as inconsistent information; integrating available information sets based on the corrected inconsistent information and the information passed by the consistency comparison; analyzing the available information sets based on preset identification rules, reversely identifying a complete signal set for the reconstruction design, and generating corresponding attribute information sets for each signal to form a final I / O list for the reconstruction. Through the establishment of a systematic reverse carding process and signal identification rules for analog / relay systems, the application solves the problems of incomplete, inaccurate and inconsistent signal carding with the state of the art in the in-service reconstruction project, and provides an accurate and reliable data basis for subsequent reconstruction design.

The application discloses a water conservancy and hydropower engineering construction management system and relates to the technical field of water conservancy and hydropower engineering construction. In view of the problems of static management and lagging interference response of the existing system, the system comprises a multi-source data acquisition module, an interference source identification and grade evaluation module, a resource demand prediction module, a resource linkage deployment module and a warning and feedback optimization module, and forms a closed-loop management process. The system improves the accuracy of dynamic interference source identification to more than 92%, shortens the resource deployment response time by 60%, and reduces the engineering safety accident rate by 40%, and is suitable for the management of various water conservancy and hydropower engineering constructions.

The present invention discloses a ventilation and rescue system and a construction method suitable for a mountain highway tunnel group, wherein the ventilation and rescue system comprises a platform bridge, an exhaust duct and an air supply duct; the platform bridge is used to connect the main line bridges on both sides, and the upper end surface of the platform bridge is provided with a containing structure, the containing structure comprises an upper space and a lower space, the lower space is used for traffic conversion and road rescue passage, and the upper space is provided with a plurality of fans; the exhaust duct is used to connect the fan and the upstream tunnel; the air supply duct is used to connect the fan and the downstream tunnel. The system of the present invention avoids the problem of setting up an underground fan room, a traffic conversion zone in the cave, and the cross-flow of polluted air between the upstream tunnel and the downstream tunnel, and can not only realize tunnel ventilation and rescue, but also has the advantages of small project scale, low construction risk, and low cost investment.

The present invention provides a method and device for optimizing a #imgabs0# oil recovery development plan, which relates to the technical field of oil well exploitation, including collecting relevant data of a carbon dioxide gas injection string, performing correlation analysis on the data, and comparing the data with a threshold value, thereby outputting whether the gas injection string is safe. The present invention is the first to conduct correlation analysis on the gas injection string used in #imgabs1# oil recovery development to evaluate whether the gas injection string is safe, and to conduct correlation analysis on the gas injection internal pressure, external oil pressure, the gas injection string's own buoyancy, and the axial tension generated by gravity of the gas injection string to generate an external squeezing index of the gas injection pipe, an internal pressure index of the gas injection pipe, and an axial tension index of the gas injection pipe, and to generate a residual strength index of the gas injection pipe string in combination with the use time, and then output a formula for the strength safety factor of the gas injection pipe, substitute the service time into the formula for the strength safety factor of the gas injection pipe to output the safety value of the gas injection pipe string, and output the safety evaluation of the gas injection pipe string.

The invention discloses a self-expanding particle gradation composition design and anti-seepage performance research method, which is characterized in that self-expanding particles with required sizes are accurately obtained through a screening instrument, and the passing rate of each particle size range is calculated on the basis of a Taibo method, so that the scientificity and rationality of particle distribution are ensured. And secondly, particles with different particle sizes are prepared and mixed to obtain target grading, so that the uniformity and stability of the particles are improved, and the uniformity and durability of the anti-seepage effect are ensured. Through experimental verification and repeated testing, grain composition is further optimized, it is ensured that the seepage-proofing performance in practical application is optimal, the engineering risk is reduced, and the overall engineering quality and safety are improved.

The invention relates to the technical field of tunnel construction, and provides a reconstruction and extension construction method for unilateral widening of a built tunnel, which comprises the following steps of: determining a reconstruction and extension starting section of the built tunnel according to lining detection information and surrounding rock survey information, the rebuilt and expanded starting section is utilized to carry out advance support on the adjacent tunnel sections in the first direction, and the rebuilt and expanded starting section is utilized to carry out advance support on the adjacent tunnel sections in the second direction; and reconstructing and expanding the remaining tunnel sections in the first direction and reconstructing and expanding the remaining tunnel sections in the second direction so as to complete reconstruction and expansion of the constructed tunnel. The initial section is arranged in the middle section, so that the problem that the construction surface is limited can be solved, synchronous construction can be conducted from the two ends of the initial section, multiple construction surfaces can be added according to the construction period requirement, surrounding rock disturbance can be reduced, the engineering risk is reduced, and the construction period is short.

This application relates to the field of corrosion assessment model construction technology, specifically to a method and system for constructing an intelligent assessment model for corrosion in subsea pipelines. The method includes: discretizing a concave pipe section into multiple series-connected computational containers based on pipeline elevation characteristics; determining the impact mass of liquid plugs overflowing into the rising pipe section; constructing a scour characteristic index characterizing mechanical scour intensity; using historical detection data to extract the corrosion depth corresponding to the chemical corrosion rate benchmark value, obtaining the erosion wear depth component; performing regression analysis based on the scour characteristic index and the erosion wear depth component to determine the wear conversion factor and establish a mapping relationship between the scour characteristic index and the mechanical scour rate; integrating the chemical corrosion rate benchmark value and the mapping relationship to construct an intelligent assessment model for corrosion in subsea pipelines, used to output the comprehensive corrosion rate of the subsea pipeline based on real-time operating parameters. This allows for accurate early warning of high-risk thinning events in the pipe wall of the rising section, significantly reducing the engineering risk of subsea pipeline perforation and leakage.

The invention discloses a porosity sandstone fault zone closure evaluation method and related equipment, belongs to the technical field of geology, and realizes digitization and refinement of an evaluation process through detailed geological exploration and sampling data acquisition in combination with classified arrangement of physical parameter data and multi-parameter model construction. The method not only improves the accuracy of evaluation, but also enhances the comprehensiveness of evaluation by comprehensively considering a plurality of influence factors. A three-dimensional digital model is used for physical parameter simulation calculation, and visual display and efficient analysis of evaluation results are achieved. The method not only improves the evaluation efficiency, but also enables the evaluation result to have a more scientific basis, and provides powerful support for engineering practices such as oil-gas exploration and underground water development. Through rapid iteration and optimization, the method can flexibly meet the requirements of closure evaluation under different geological conditions, reduces the engineering risk, and guarantees the practicality and reliability of the evaluation result.