CN114357691A - Power facility geological foundation deformation safety assessment method - Google Patents
Power facility geological foundation deformation safety assessment method Download PDFInfo
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Abstract
The invention discloses a power facility geological foundation deformation safety assessment method, which aims to solve the problem of real-time monitoring and early warning of geological deformation of a soft foundation transformer substation, and comprises the following steps: s1: acquiring geological conditions and basic data of a transformer substation, and establishing a three-dimensional numerical analysis model; s2: acquiring rock-soil body parameters and boundary conditions, analyzing the displacement and stress-strain distribution characteristics of the side slope, and determining a deformation control value; s3: establishing a prediction mathematical model of the settlement deformation and deformation influence factors of the transformer substation foundation; s4: and issuing risk early warning according to the deformation control value, and predicting the most unfavorable result possibly occurring in the transformer substation according to the prediction mathematical model. The invention has the beneficial effects that: by the method, real-time monitoring and early warning of geological deformation of all foundation substations can be realized, and deformation influence factors can be sorted based on a grey correlation analysis method, so that optimal control measures are obtained.
Description
Technical Field
The invention relates to the field of engineering measurement, in particular to a power facility geological foundation deformation safety assessment method.
Background
The transformer substations of the power grid are large in number and wide in distribution, the deformation degree of the transformer substation foundation directly influences the safe operation of the transformer substation grounding grid, and the operation safety of main equipment of the transformer substation is influenced when the transformer substation foundation is seriously deformed. Although the geological condition of the transformer substation is investigated during early-stage power construction, the geological hidden danger points cannot be completely avoided due to the limitation of the construction land. The safety performance of primary and secondary electrical equipment in the transformer substation can be influenced by overlarge, too fast or relatively uneven geological deformation of a soft foundation of the transformer substation, and a plurality of key equipment face the danger of land loss, so that the safe and stable operation of the transformer substation is seriously threatened, and in recent years, accidents that a plurality of transformer substation grounding grids sink or deform occur.
Therefore, the foundation needs to be monitored in real time in the operation process of the transformer substation, and the deformation degree of the geological environment is evaluated according to the monitoring result, which is one of the preconditions for ensuring the safe operation of the transformer substation. The deformation monitoring of the foundation belongs to the field of engineering measurement, and the conventional optical measurement method such as a level is generally adopted for settlement monitoring at present, a total station is adopted for settlement and horizontal displacement monitoring at the same time, and a static level can also be adopted for settlement monitoring. However, optical measurement generally requires manual operation, and it is difficult to implement automatic monitoring in a substation because the line of sight is easily blocked, and the optical method cannot be implemented at night and under adverse weather conditions such as rainfall, heavy fog, strong wind, etc.; static levels, while convenient for automated monitoring, do not allow for displacement monitoring. Therefore, a technology for simultaneously carrying out settlement and horizontal displacement automatic monitoring on a transformer substation foundation is lacked at present, and meanwhile, how to scientifically determine a geological deformation control standard (threshold value) of the foundation transformer substation is also a problem to be solved urgently, and early warning is carried out after the deformation degree exceeds the control standard.
A 'soft foundation region transformer substation geological deformation safety assessment method' disclosed in Chinese patent literature, the publication number CN111767649A, based on the Beidou foundation enhancement network, utilizes the Beidou GNSS to automatically monitor the geological deformation of the soft foundation transformer substation; and establishing an incidence relation (mathematical model) between the monitoring point data and the geological structure of the transformer substation based on the geological deformation monitoring data, and realizing real-time monitoring and early warning of the geological deformation of the soft-foundation transformer substation. The disadvantages are as follows: the method is limited to real-time monitoring and early warning of geological deformation of the soft foundation transformer substation.
Disclosure of Invention
The invention mainly aims to solve the problem of real-time monitoring and early warning of geological deformation of a soft foundation substation, and provides a power facility geological foundation deformation safety assessment method which can realize real-time monitoring and early warning of geological deformation of all foundation substations and can sequence deformation influence factors based on a grey correlation analysis method so as to obtain an optimal control measure.
In order to achieve the purpose, the invention adopts the following technical scheme:
a power facility geological foundation deformation safety assessment method comprises the following steps:
s1: acquiring geological conditions and basic data of a transformer substation, and establishing a three-dimensional numerical analysis model;
s2: acquiring rock-soil body parameters and boundary conditions, analyzing the displacement and stress-strain distribution characteristics of the side slope, and determining a deformation control value;
s3: establishing a prediction mathematical model of the settlement deformation and deformation influence factors of the transformer substation foundation;
s4: and issuing risk early warning according to the deformation control value, and predicting the most unfavorable result possibly occurring in the transformer substation according to the prediction mathematical model.
The method is based on geological analysis to carry out geological model generalization and three-dimensional numerical analysis model establishment; then establishing a risk classification standard by numerical simulation and combining engineering experience and related specifications, and performing real-time assessment and early warning on the soft foundation deformation by comparing with on-site monitoring data on the basis; secondly, a prediction model of the relationship between the soft foundation settlement deformation and the deformation influence factor of the transformer substation is constructed based on numerical simulation data and field automation monitoring data, prediction analysis of the worst working condition of long-term operation of the transformer substation is carried out, and a targeted control measure is provided by combining the settlement deformation influence factor sensitivity analysis result based on a grey correlation analysis method.
Preferably, the step S1 of obtaining the geological condition and the basic data of the substation includes the following steps:
s11: collecting and analyzing geological conditions and basic design data of the transformer substation;
s12: determining geological characteristics of a transformer substation foundation and establishing a three-dimensional geological model;
s13: and establishing a transformer substation load model.
The parameters of the three-dimensional geological model comprise the thickness, distribution and physical mechanical parameters of the foundation stratum, and the influence of underground water on the deformation of the foundation and related parameters; the parameters of the load model include load characteristics and distribution, variable load and accidental load.
Preferably, the step S2 of analyzing the slope displacement and stress-strain distribution characteristics includes the following steps:
s21: performing numerical simulation calculation under different working conditions based on the three-dimensional numerical analysis model;
s22: analyzing the displacement and stress-strain distribution characteristics of the side slope, and evaluating the stability of the side slope of the transformer substation;
s23: and selecting a point with larger deformation as a key geological deformation monitoring control point according to the numerical simulation result.
And establishing a three-dimensional model based on geological data obtained by address investigation and surveying and mapping, and importing the three-dimensional model into geotechnical software to obtain a three-dimensional numerical analysis model.
The three-dimensional numerical analysis model comprises rock soil information such as bedrock, argillaceous siltstone, medium-weak weathering mudstone, filling soft foundation, transformer substation foundation and anti-slide pile retaining structure.
Preferably, the step S23 of selecting the point with larger deformation as the key geological deformation monitoring control point includes the following steps:
s231: numerical simulation calculation under different working conditions is carried out to obtain a three-dimensional geological deformation displacement and stress map of the transformer substation foundation;
s232: and selecting a monitoring control point by combining the rock-soil type, the deformation characteristic and the occurrence condition of the transformer substation foundation.
The position needing monitoring control is obtained through the foundation three-dimensional geological deformation displacement and the stress map, monitoring control points are arranged, real-time early warning can be effectively carried out on geological deformation, corresponding control measures can be conveniently taken in real time, and damage to the transformer substation is reduced.
Preferably, the determining the deformation control value in step S2 includes the steps of:
s23: determining a deformation control value of the transformer substation foundation under a possible ultimate load condition according to the maximum displacement of the side slope under different working conditions obtained by numerical simulation calculation;
s24: and establishing a risk analysis standard according to the deformation control value, and establishing an early warning system.
And determining a deformation control value threshold value according to the combination of engineering experience, relevant specifications and requirements, and constructing a risk analysis standard by segmenting the percentage value of the deformation control value to realize the establishment of an early warning system.
Preferably, the different working conditions comprise dead load of structures and equipment, rainfall, earthquake and rainfall-earthquake coupling.
The maximum displacement is calculated according to different working conditions, and the maximum displacement under various natural conditions can be simulated, so that risk early warning under different working conditions and different control measures are taken.
Preferably, the step S3 of establishing the prediction mathematical model of the settlement deformation and the deformation influence factor of the substation foundation includes the following steps:
s31: selecting main parameters influencing the settlement deformation of the foundation as independent variables;
s32: acquiring a data sample of deformation influence factors and corresponding maximum sedimentation displacement based on a numerical simulation method;
s33: establishing an initial prediction mathematical model of the relationship between the foundation settlement deformation of the transformer substation and deformation influence factors;
s34: and correcting and obtaining a final prediction mathematical model by comparing results of the three-dimensional numerical analysis model and the deformation control value.
The method can adopt the existing gray wolf optimization algorithm and other methods to establish an initial prediction mathematical model, and correct the initial prediction mathematical model in real time through the results obtained by a three-dimensional numerical analysis model and a deformation control value. And continuously optimizing to obtain an accurate final prediction mathematical model. The mode of continuous correction can improve the accuracy and the real-time performance of the model, and can effectively improve the accuracy of risk early warning and take corresponding control measures in real time.
Preferably, the main parameters influencing the settlement deformation of the foundation in the step S31 include the parameters of the thickness of the foundation, the compression modulus, the external load and the strength of the foundation.
The foundation strength parameters include cohesion and internal friction angle. The influence strength of different parameters influencing the foundation settlement deformation on the foundation deformation is realized through various main parameters influencing the foundation settlement deformation, so that corresponding control measures are taken.
Preferably, the step of predicting the most unfavorable result that may occur to the substation according to the prediction mathematical model in step S4 includes the following steps:
s41: predicting the geological settlement deformation of the foundation according to the prediction mathematical model;
s42: performing predictive analysis on the most unfavorable result possibly occurring in the transformer substation;
s43: and obtaining corresponding control measures by combining the sedimentation deformation influence factor sensitivity analysis result.
Preferably, the step S43 of determining the corresponding control measure according to the analysis result of the sedimentation deformation influencing factor sensitivity includes the following steps:
s431: establishing a deformation influence factor selection model, and determining an evaluation index of the deformation influence factor;
s432: establishing an initial decision matrix based on a grey correlation analysis method;
s433: carrying out normalization processing on the initial decision matrix to obtain an optimal value and a virtual ideal solution of the evaluation index;
s434: determining the weight of the evaluation index according to an analytic hierarchy process to obtain the grey correlation degree of the deformation influence factors and the ideal solution;
s435: taking the grey correlation degree of the deformation influence factors and the ideal solution as a comprehensive evaluation index, and obtaining the optimal sequence of the deformation influence factors according to the size of the comprehensive index;
s436: and according to the optimal sequence of the deformation influencing factors, corresponding control measures are obtained.
The invention has the beneficial effects that:
(1) by the method, real-time monitoring and early warning of geological deformation of all foundation substations can be realized.
(2) The method can sort the deformation influence factors based on a grey correlation analysis method, thereby obtaining the optimal control measure.
Drawings
FIG. 1 is a schematic flow diagram of the present invention.
Detailed Description
The invention is further described with reference to the following figures and detailed description.
As shown in fig. 1, a method for evaluating the deformation safety of a geological foundation of an electric power facility includes the following steps:
s1: acquiring geological conditions and basic data of a transformer substation, and establishing a three-dimensional numerical analysis model;
s2: acquiring rock-soil body parameters and boundary conditions, analyzing the displacement and stress-strain distribution characteristics of the side slope, and determining a deformation control value;
s3: establishing a prediction mathematical model of the settlement deformation and deformation influence factors of the transformer substation foundation;
s4: and issuing risk early warning according to the deformation control value, and predicting the most unfavorable result possibly occurring in the transformer substation according to the prediction mathematical model.
The method is based on geological analysis to carry out geological model generalization and three-dimensional numerical analysis model establishment; then establishing a risk classification standard by numerical simulation and combining engineering experience and related specifications, and performing real-time assessment and early warning on the soft foundation deformation by comparing with on-site monitoring data on the basis; secondly, a prediction model of the relationship between the soft foundation settlement deformation and the deformation influence factor of the transformer substation is constructed based on numerical simulation data and field automation monitoring data, prediction analysis of the worst working condition of long-term operation of the transformer substation is carried out, and a targeted control measure is provided by combining the settlement deformation influence factor sensitivity analysis result based on a grey correlation analysis method.
The step S1 of obtaining the geological condition and the basic data of the transformer substation comprises the following steps:
s11: collecting and analyzing geological conditions and basic design data of the transformer substation;
s12: determining geological characteristics of a transformer substation foundation and establishing a three-dimensional geological model;
s13: and establishing a transformer substation load model.
The parameters of the three-dimensional geological model comprise the thickness, distribution and physical mechanical parameters of the foundation stratum, and the influence of underground water on the deformation of the foundation and related parameters; the parameters of the load model include load characteristics and distribution, variable load and accidental load.
The analysis of the displacement and stress-strain distribution characteristics of the slope in step S2 includes the steps of:
s21: performing numerical simulation calculation under different working conditions based on the three-dimensional numerical analysis model;
s22: analyzing the displacement and stress-strain distribution characteristics of the side slope, and evaluating the stability of the side slope of the transformer substation;
s23: and selecting a point with larger deformation as a key geological deformation monitoring control point according to the numerical simulation result.
And establishing a three-dimensional model based on geological data obtained by address investigation and surveying and mapping, and importing the three-dimensional model into geotechnical software to obtain a three-dimensional numerical analysis model.
The three-dimensional numerical analysis model comprises rock soil information such as bedrock, argillaceous siltstone, medium-weak weathering mudstone, filling soft foundation, transformer substation foundation and anti-slide pile retaining structure.
The step S23 of selecting the point with larger deformation as the key geological deformation monitoring control point comprises the following steps:
s231: numerical simulation calculation under different working conditions is carried out to obtain a three-dimensional geological deformation displacement and stress map of the transformer substation foundation;
s232: and selecting a monitoring control point by combining the rock-soil type, the deformation characteristic and the occurrence condition of the transformer substation foundation.
The position needing monitoring control is obtained through the foundation three-dimensional geological deformation displacement and the stress map, monitoring control points are arranged, real-time early warning can be effectively carried out on geological deformation, corresponding control measures can be conveniently taken in real time, and damage to the transformer substation is reduced.
The determination of the deformation control value in step S2 includes the steps of:
s23: determining a deformation control value of the transformer substation foundation under a possible ultimate load condition according to the maximum displacement of the side slope under different working conditions obtained by numerical simulation calculation;
s24: and establishing a risk analysis standard according to the deformation control value, and establishing an early warning system.
And determining a deformation control value threshold value according to the combination of engineering experience, relevant specifications and requirements, and constructing a risk analysis standard by segmenting the percentage value of the deformation control value to realize the establishment of an early warning system.
Different working conditions comprise dead load of structures and equipment, rainfall, earthquake and rainfall-earthquake coupling.
The maximum displacement is calculated according to different working conditions, and the maximum displacement under various natural conditions can be simulated, so that risk early warning under different working conditions and different control measures are taken.
The step S3 of establishing the prediction mathematical model of the settlement deformation and the deformation influence factors of the transformer substation foundation comprises the following steps:
s31: selecting main parameters influencing the settlement deformation of the foundation as independent variables;
s32: acquiring a data sample of deformation influence factors and corresponding maximum sedimentation displacement based on a numerical simulation method;
s33: establishing an initial prediction mathematical model of the relationship between the foundation settlement deformation of the transformer substation and deformation influence factors;
s34: and correcting and obtaining a final prediction mathematical model by comparing results of the three-dimensional numerical analysis model and the deformation control value.
The method can adopt the existing gray wolf optimization algorithm and other methods to establish an initial prediction mathematical model, and correct the initial prediction mathematical model in real time through the results obtained by the three-dimensional numerical analysis model and the deformation control value. And continuously optimizing to obtain an accurate final prediction mathematical model. The mode of continuous correction can improve the accuracy and the real-time performance of the model, and can effectively improve the accuracy of risk early warning and take corresponding control measures in real time.
The main parameters influencing the settlement deformation of the foundation in the step S31 comprise the parameters of the thickness, the compression modulus, the external load and the strength of the foundation.
The foundation strength parameters include cohesion and internal friction angle. The influence strength of different parameters influencing the foundation settlement deformation on the foundation deformation is realized through various main parameters influencing the foundation settlement deformation, so that corresponding control measures are taken.
The step of predicting the worst possible result of the substation according to the prediction mathematical model in the step S4 includes the following steps:
s41: predicting the geological settlement deformation of the foundation according to the prediction mathematical model;
s42: performing predictive analysis on the most unfavorable result possibly occurring in the transformer substation;
s43: and obtaining corresponding control measures by combining the sedimentation deformation influence factor sensitivity analysis result.
The step S43 of obtaining a corresponding control measure by combining the sedimentation deformation influence factor sensitivity analysis result includes the following steps:
s431: establishing a deformation influence factor selection model, and determining an evaluation index of the deformation influence factor;
s432: establishing an initial decision matrix based on a grey correlation analysis method;
s433: carrying out normalization processing on the initial decision matrix to obtain an optimal value and a virtual ideal solution of the evaluation index;
s434: determining the weight of the evaluation index according to an analytic hierarchy process to obtain the grey correlation degree of the deformation influence factors and the ideal solution;
s435: taking the grey correlation degree of the deformation influence factors and the ideal solution as a comprehensive evaluation index, and obtaining the optimal sequence of the deformation influence factors according to the size of the comprehensive index;
s436: and according to the optimal sequence of the deformation influencing factors, corresponding control measures are obtained.
It should be understood that this example is only for illustrating the present invention and is not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
Claims (10)
1. A power facility geological foundation deformation safety assessment method is characterized by comprising the following steps:
s1: acquiring geological conditions and basic data of a transformer substation, and establishing a three-dimensional numerical analysis model;
s2: acquiring rock-soil body parameters and boundary conditions, analyzing the displacement and stress-strain distribution characteristics of the side slope, and determining a deformation control value;
s3: establishing a prediction mathematical model of the settlement deformation and deformation influence factors of the transformer substation foundation;
s4: and issuing risk early warning according to the deformation control value, and predicting the most unfavorable result possibly occurring in the transformer substation according to the prediction mathematical model.
2. The method for safely evaluating the deformation of the geological foundation of the power facility according to claim 1, wherein the step of obtaining the geological condition and the basic data of the substation in the step S1 comprises the following steps:
s11: collecting and analyzing geological conditions and basic design data of the transformer substation;
s12: determining geological characteristics of a transformer substation foundation and establishing a three-dimensional geological model;
s13: and establishing a transformer substation load model.
3. The method for evaluating the safety of deformation of the geological foundation of the power facility according to claim 1, wherein the step of analyzing the displacement and stress-strain distribution characteristics of the slope in step S2 comprises the following steps:
s21: performing numerical simulation calculation under different working conditions based on the three-dimensional numerical analysis model;
s22: analyzing the displacement and stress-strain distribution characteristics of the side slope, and evaluating the stability of the side slope of the transformer substation;
s23: and selecting a point with larger deformation as a key geological deformation monitoring control point according to the numerical simulation result.
4. The method for safely evaluating the deformation of the geological foundation of the power facility according to claim 3, wherein the step S23 of selecting the point with larger deformation as the key geological deformation monitoring control point comprises the following steps:
s231: numerical simulation calculation under different working conditions is carried out to obtain a three-dimensional geological deformation displacement and stress map of the transformer substation foundation;
s232: and selecting a monitoring control point by combining the rock-soil type, the deformation characteristic and the occurrence condition of the transformer substation foundation.
5. The method for safely evaluating the deformation of the geological foundation of the power facility as claimed in claim 1, wherein the step S2 of determining the deformation control value comprises the following steps:
s23: determining a deformation control value of the transformer substation foundation under a possible ultimate load condition according to the maximum displacement of the side slope under different working conditions obtained by numerical simulation calculation;
s24: and establishing a risk analysis standard according to the deformation control value, and establishing an early warning system.
6. The method for evaluating the deformation safety of the geological foundation of the power facility as claimed in claim 3 or 5, wherein the different working conditions comprise dead load of structures and equipment, rainfall, earthquake and rainfall-earthquake coupling.
7. The method for safely evaluating the deformation of the geological foundation of the power facility according to claim 1, wherein the step S3 of establishing the prediction mathematical model of the settlement deformation and the deformation influence factors of the transformer substation foundation comprises the following steps:
s31: selecting main parameters influencing the settlement deformation of the foundation as independent variables;
s32: acquiring a data sample of deformation influence factors and corresponding maximum sedimentation displacement based on a numerical simulation method;
s33: establishing an initial prediction mathematical model of the relationship between the foundation settlement deformation of the transformer substation and deformation influence factors;
s34: and correcting and obtaining a final prediction mathematical model by comparing results of the three-dimensional numerical analysis model and the deformation control value.
8. The method for safely evaluating the deformation of the geological foundation of the power facility as claimed in claim 7, wherein the main parameters influencing the settlement deformation of the foundation in the step S31 include the parameters of the thickness of the foundation, the compression modulus, the external load and the strength of the foundation.
9. The method for safely evaluating the deformation of the geological foundation of the power facility according to claim 1, wherein the step S4 of predicting the most unfavorable result of the substation possibly occurring according to the prediction mathematical model comprises the following steps:
s41: predicting the geological settlement deformation of the foundation according to the prediction mathematical model;
s42: performing predictive analysis on the most unfavorable result possibly occurring in the transformer substation;
s43: and obtaining corresponding control measures by combining the sedimentation deformation influence factor sensitivity analysis result.
10. The method for safely evaluating the deformation of the geological foundation of the power facility as claimed in claim 9, wherein the step S43 of obtaining the corresponding control measure in combination with the analysis result of the sensitivity of the sedimentation deformation influencing factors comprises the following steps:
s431: establishing a deformation influence factor selection model, and determining an evaluation index of the deformation influence factor;
s432: establishing an initial decision matrix based on a grey correlation analysis method;
s433: carrying out normalization processing on the initial decision matrix to obtain an optimal value and a virtual ideal solution of the evaluation index;
s434: determining the weight of the evaluation index according to an analytic hierarchy process to obtain the grey correlation degree of the deformation influence factors and the ideal solution;
s435: taking the grey correlation degree of the deformation influence factors and the ideal solution as a comprehensive evaluation index, and obtaining the optimal sequence of the deformation influence factors according to the size of the comprehensive index;
s436: and according to the optimal sequence of the deformation influencing factors, corresponding control measures are obtained.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114863645A (en) * | 2022-07-04 | 2022-08-05 | 四川省华地建设工程有限责任公司 | Geological disaster monitoring and early warning method and system |
| CN115270527A (en) * | 2022-09-27 | 2022-11-01 | 苏州思萃融合基建技术研究所有限公司 | Real-time assessment method, equipment and storage medium for road collapse risk |
| CN117057025A (en) * | 2023-10-12 | 2023-11-14 | 国网山东省电力公司鱼台县供电公司 | Power distribution room design method and system and power distribution room |
| CN117870608A (en) * | 2024-01-22 | 2024-04-12 | 中煤地质集团有限公司 | Stratum deformation early warning method and stratum deformation early warning system |
| CN118036118A (en) * | 2023-11-28 | 2024-05-14 | 天津大学 | BIM fusion-based investigation method, system, electronic equipment and computer readable medium |
| CN118313052A (en) * | 2024-06-11 | 2024-07-09 | 成都建工第三建筑工程有限公司 | Basement reverse construction major structure subsides monitoring system |
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| CN114863645A (en) * | 2022-07-04 | 2022-08-05 | 四川省华地建设工程有限责任公司 | Geological disaster monitoring and early warning method and system |
| CN114863645B (en) * | 2022-07-04 | 2022-09-16 | 四川省华地建设工程有限责任公司 | Geological disaster monitoring and early warning method and system |
| CN115270527A (en) * | 2022-09-27 | 2022-11-01 | 苏州思萃融合基建技术研究所有限公司 | Real-time assessment method, equipment and storage medium for road collapse risk |
| CN115270527B (en) * | 2022-09-27 | 2022-12-23 | 苏州思萃融合基建技术研究所有限公司 | Real-time assessment method, equipment and storage medium for road collapse risk |
| CN117057025A (en) * | 2023-10-12 | 2023-11-14 | 国网山东省电力公司鱼台县供电公司 | Power distribution room design method and system and power distribution room |
| CN117057025B (en) * | 2023-10-12 | 2024-01-23 | 国网山东省电力公司鱼台县供电公司 | Power distribution room design method and system and power distribution room |
| CN118036118A (en) * | 2023-11-28 | 2024-05-14 | 天津大学 | BIM fusion-based investigation method, system, electronic equipment and computer readable medium |
| CN117870608A (en) * | 2024-01-22 | 2024-04-12 | 中煤地质集团有限公司 | Stratum deformation early warning method and stratum deformation early warning system |
| CN117870608B (en) * | 2024-01-22 | 2024-09-20 | 中煤地质集团有限公司 | Stratum deformation early warning method and stratum deformation early warning system |
| CN118313052A (en) * | 2024-06-11 | 2024-07-09 | 成都建工第三建筑工程有限公司 | Basement reverse construction major structure subsides monitoring system |
| CN118313052B (en) * | 2024-06-11 | 2024-09-03 | 成都建工第三建筑工程有限公司 | Basement reverse construction major structure subsides monitoring system |
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