Method and system for observing differential settlement of two sides of high-altitude corridor of building

Abstract

The invention belongs to the technical field of building settlement observation engineering, and provides a method and a system for observing differential settlement of two sides of a high-altitude corridor of a building, and the method comprises the following steps: extracting historical observation data of the high-altitude corridor from an observation historical database, carrying out correlation analysis on all observation points of the high-altitude corridor, and obtaining an observation result of the high-altitude corridor; constructing an observation point association system; performing trend analysis on the historical observation data of the observation points, extracting the observation points of a to-be-adjusted observation period according to a trend analysis result as to-be-adjusted observation points, performing comparative analysis on the to-be-adjusted observation points and the observation point association system, extracting the to-be-adjusted observation points with associated observation points as linkage observation points, and adjusting the observation period of the to-be-adjusted observation points according to the linkage observation points. The to-be-adjusted observation points without the associated observation points serve as non-linkage observation points. And the problems of sensitive point missing measurement caused by a fixed observation period and settlement calculation distortion caused by data mismatching caused by single adjustment of associated observation points are optimized.

Description

Technical Field

[0001] This invention belongs to the field of building settlement monitoring engineering technology, specifically a method and system for monitoring uneven settlement on both sides of a high-altitude connecting corridor of a building. Background Technology

[0002] A sky bridge is an elevated connecting structure that links two independent buildings. This type of structure is common in building engineering and is mainly used to realize traffic connection or functional integration between different building entities. Because sky bridges span a large space, their foundations are often affected by various factors such as different geological conditions, construction errors, and load changes during use, which can easily lead to uneven settlement. This uneven settlement not only affects the structural safety and functionality of the sky bridge, but may also have adverse effects on the connected building entities. Therefore, accurate and timely settlement monitoring of both sides of the sky bridge is particularly important. However, in actual observation, the settlement trends of the observation points of the high-altitude connecting corridor vary greatly due to differences in function (reference point / main point / connecting corridor point), stress state (support node / mid-span node), and environmental interference (strong wind at high altitude / ground vibration). A fixed observation period may lead to the risk of missing sensitive points. There is a lack of a process to adaptively adjust the observation period based on the changing trends of the observation data. Furthermore, when adjusting the observation period of the observation points, since the observation points of the high-altitude connecting corridor are an interconnected system, for example, instability of the reference point may affect the main point, and the settlement difference of the main point may affect the connecting corridor point. If only the observation period of a single observation point is adjusted, the data will not match, resulting in inaccurate settlement calculation and misjudgment of the settlement results. Therefore, the present invention provides a method and system for observing uneven settlement on both sides of a high-altitude connecting corridor in a building. Summary of the Invention

[0003] In order to overcome the shortcomings of the prior art, at least one technical problem raised in the background art is solved.

[0004] The technical solution adopted by this invention to solve its technical problem is: a method for observing uneven settlement on both sides of a high-altitude connecting corridor in a building, comprising the following steps: Historical observation data of the high-altitude connecting corridor were extracted from the historical observation database, and correlation analysis was performed on all observation points of the high-altitude connecting corridor to construct an observation point correlation system. Perform trend analysis on the historical observation data of the observation points, extract the observation points whose observation period needs to be adjusted based on the trend analysis results, and use them as the observation points to be adjusted. Compare and analyze the observation points to be adjusted with the observation point association system, extract the observation points to be adjusted that have association points as linked observation points, and extract the observation points to be adjusted that do not have association points as non-linked observation points. Differentiated observation cycle adjustment strategies are implemented for non-linked and linked observation points, including: Based on non-linked observation points, the observation cycle execution value is calculated according to the trend analysis results and the observation cycle is adjusted accordingly. Based on the linked observation points, and combined with the trend analysis results and the observation point association system, the execution value of the observation period is calculated and the observation period is adjusted.

[0005] A system for monitoring uneven settlement on both sides of a high-rise building connecting corridor, the system comprising: Observation point association system construction module: Extract historical observation data of the high-altitude connecting corridor from the historical observation database, perform association analysis on all observation points of the high-altitude connecting corridor, and construct an observation point association system; Observation point classification module: Performs trend analysis on historical observation data of observation points, extracts observation points whose observation period needs to be adjusted based on the trend analysis results, and compares and analyzes the observation points to be adjusted with the observation point association system. Observation points to be adjusted with associated observation points are extracted as linked observation points, and observation points to be adjusted without associated observation points are extracted as non-linked observation points. Observation cycle adjustment module: Implements differentiated observation cycle adjustment strategies for non-linked and linked observation points, including: Non-linked observation point adjustment unit: Based on non-linked observation points, calculates the observation cycle execution value according to the trend analysis results and performs the observation cycle adjustment; Linked observation point adjustment unit: Based on linked observation points, and according to the trend analysis results combined with the observation point association system, calculates the observation cycle execution value and performs the observation cycle adjustment.

[0006] The beneficial effects of this invention are as follows: This invention extracts data from a historical database of observations of high-altitude connecting corridors. After preprocessing, it performs correlation analysis on all observation points based on the synchronization rate of elevation changes and the stability of settlement differences to construct an observation point correlation system. Then, it performs trend analysis on the historical data of the observation points, selects observation points to be adjusted, and divides them into linked and non-linked observation points based on the correlation system. Finally, it adopts a differentiated observation period adjustment strategy that independently calculates the observation period adjustment value for non-linked observation points based on their own settlement trends, and synchronously calculates the period adjustment value for linked observation points and their cooperating observation points based on comprehensive coefficients. This optimizes the problems of missing sensitive points due to fixed observation periods and data mismatch caused by adjusting linked observation points alone, which leads to inaccurate settlement calculations.

[0007] This invention first selects observation points with high settlement activity based on the degree of settlement activity and dynamically adjusts the observation cycle accordingly. This approach is more targeted, reduces resource waste caused by indiscriminate adjustments, and reduces the possibility of missing settlement risks by optimizing the observation points with high activity. Then, based on the selected observation points with high activity, a correlation analysis system is used for further screening. This allows for differentiated analysis of these observation points and coordinated adjustments to observation points with correlation, thereby reducing data mismatch caused by adjusting a single observation point. This approach optimizes the problem of missing sensitive points due to fixed cycles and reduces the risk of data mismatch caused by single adjustments to correlation points. For non-linked observation points, which are unrelated observation points to be adjusted, the adjustment is based on their own settlement trend judgment value, without considering the data matching requirements of other observation points. For linked observation points, which are observation points to be adjusted with related observation points (such as the support point of the connecting corridor or the top of the main column), and collaborative observation points, which are related observation points bound to the linked observation points in the related system, the adjustment needs to take data time synchronization and effective settlement difference calculation as the core objectives, forming a differentiated observation cycle adjustment strategy. It classifies and implements policies for the independent and related characteristics of the observation points of the high-altitude connecting corridor, which optimizes the observation cycle adjustment problem of a single observation point through independent adjustment, and meets the matching of related observation points through collaborative adjustment. Attached Figure Description

[0008] The invention will now be further described with reference to the accompanying drawings.

[0009] Figure 1 This is a flowchart of the steps of a method for observing uneven settlement on both sides of a high-rise building corridor according to the present invention. Figure 2 This is a flowchart of some steps of a method for observing uneven settlement on both sides of a high-rise building corridor according to the present invention. Figure 3 This is a module architecture diagram of an uneven settlement observation system for both sides of a high-altitude connecting corridor in a building, according to the present invention. Detailed Implementation

[0010] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0011] Example 1 Please see Figure 1 and Figure 2 As shown in the embodiment of the present invention, a method for observing uneven settlement on both sides of a high-altitude connecting corridor of a building includes the following steps: Step S10: Extract historical observation data of the high-altitude connecting corridor from the historical observation database, perform correlation analysis on all observation points of the high-altitude connecting corridor, and construct an observation point correlation system; In some embodiments, the historical observation data of the elevated walkway is extracted as follows: Historical observation data includes: basic attributes, observation data, and engineering stage annotations; The basic attributes should include at least: observation point type, observation point location, and structural association attributes; For example, the observation point types are labeled as: benchmark point, main point, and connecting corridor point; The observation points are located as follows: benchmark point - underground rock strata of the square, main point - top of the column on the 25th floor on the east side, and connecting corridor point - above the support on the west side; The structural association attribute is: the support type (elastic / sliding) corresponding to the connecting corridor point; The observation data should include at least: observation timestamp and elevation value; The engineering phase annotations include: the engineering phase corresponding to the associated data (construction period / initial completion period / stabilization period / renovation period), and special events in that phase, such as 2024.03-addition of equipment floor to the main structure on the east side, 2024.06-construction of the pipe gallery under the connecting corridor; Historical observation data are preprocessed, including outlier removal, data completion, and elevation benchmark unification.

[0012] In some embodiments, the process of performing correlation analysis on all observation points of the elevated walkway is as follows: The correlation analysis is mainly based on two dimensions: the synchronization rate of elevation changes and the stability of settlement differences.

[0013] Specifically, all observation points are arbitrarily combined in pairs to obtain the observation point analysis combination; Based on the analysis of any observation point combination, the extracted historical observation data are divided according to the same historical time period; Calculate the cumulative elevation change corresponding to each historical period observation point, process the ratio of the cumulative elevation change of two observation points to obtain the elevation change ratio, and average the elevation change ratios of all historical periods to obtain the elevation change synchronization rate. The cumulative elevation change refers to the sum of the final changes in the elevation values ​​of multiple observations at the observation point during the period from the beginning to the end of the historical period. It primarily reflects the total subsidence / uplift of the point over a period of time.

[0014] Calculate the settlement difference between two observation points at each observation time within a historical period, calculate the mean and standard deviation of all settlement differences within the historical period, and calculate the coefficient of variation based on the mean and standard deviation of the settlement differences. The average value of the coefficients of variation for all historical periods is used to obtain the stability of the settlement difference. The calculation process for the differential settlement is as follows: the two observation points in the observation point analysis combination are respectively denoted as observation point A and observation point B; Extract the observation times (such as T1, T2, ..., Tn) and the elevation values ​​of the two observation points at the corresponding times within the historical time period, where T1 is the initial observation time of the time period, T2 to Tn are the subsequent observation times, and n is the total number of observation times; Calculate the settlement of observation point A at each subsequent time: The settlement at a certain time (e.g., Tk, k≥2, where k is the index of the observation time) is the difference between the elevation of observation point A at that time and the elevation of observation point A at time T1. Calculate the settlement of observation point B at each subsequent time: The settlement at a certain time (e.g., Tk, k≥2) is the difference between the elevation of observation point B at that time and the elevation of observation point B at time T1. Calculate the settlement difference at time (Tk): The settlement difference is the absolute value of the difference between the settlement of observation point A at time Tk and the settlement of observation point B at time Tk.

[0015] For example, the two observation points in the observation point analysis combination are respectively denoted as observation point A and observation point B; If at time T1, the elevation of observation point A is 105.536m and the elevation of observation point B is 102.538m; At time T2, the elevation of observation point A is 102.516m and the elevation of observation point B is 102.528m. The settlement at observation point A is calculated as the difference between the elevation values ​​at time T2 and T1. The settlement of observation point B is calculated as the difference between the elevation value at time T2 and the elevation value at time T1; The settlement difference is the absolute value of the difference between the settlement at observation point A and the settlement at observation point B.

[0016] If the analysis combination of observation points satisfies both of the following conditions, then the analysis combination of observation points is judged to be an associated combination; Condition 1: The elevation change synchronization rate is within the preset synchronization rate benchmark range; Condition 2: The differential settlement stability is less than the preset stability benchmark; The synchronization rate reference range and stability reference are set by those skilled in the art based on experience, with the synchronization rate reference range set to [0.8-1.2] and the stability reference set to 0.2. If the combination of observation points cannot simultaneously meet the above two conditions, then the combination of observation points is judged to be a non-associative combination.

[0017] Extract all the associated combinations and construct the observation point association system.

[0018] In step S10, the correlation analysis between observation points based on historical observation data is first performed to clarify, through the dimensions of elevation change synchronization rate and settlement difference stability, which observation points belong to the linkage group that needs to be adjusted synchronously and which observation points can be adjusted independently. This reduces the need for subsequent adjustment of linkage observation point cycles, allows for accurate matching of correlation relationships, and avoids missing or incorrectly adjusting related points.

[0019] Step S20: Perform trend analysis on the historical observation data of the observation points, extract the observation points whose observation period needs to be adjusted based on the trend analysis results, and use them as the observation points to be adjusted. Compare and analyze the observation points to be adjusted with the observation point association system, extract the observation points to be adjusted that have association points as linked observation points, and use the observation points to be adjusted that do not have association points as non-linked observation points. In some embodiments, the process of performing trend analysis on historical observation data of observation points is as follows: For any observation point, sort the elevation values ​​corresponding to the observation point according to the timestamp order, calculate the settlement corresponding to each observation time, and obtain the settlement time series. The settlement amount is calculated using the same method as in step S10 above.

[0020] The rate of change of two adjacent settlement values ​​in the time series of settlement is calculated as the settlement rate. The settlement rate is then averaged to obtain the average settlement rate. Settlement rate refers to the absolute value of the difference between the subsequent settlement and the preceding settlement in two adjacent settlements, and the ratio of the absolute value of the difference to the time difference between the two settlements is calculated.

[0021] Calculate the absolute value of the difference between the settlement at the last observation time and the settlement at the first observation time in the settlement time series, and calculate the proportion of the absolute value of the difference to the maximum allowable settlement in the design, as the cumulative settlement change ratio.

[0022] The settlement trend judgment value is obtained by multiplying the average settlement rate with the cumulative settlement change ratio. It should be noted that the settlement trend judgment value reflects the coupled quantitative index of the dynamic rate of settlement at the observation point (speed in the time dimension) and the relative scale of cumulative settlement (degree of influence in the total amount dimension). In essence, it integrates the information of two independent dimensions, namely the speed of settlement and the relative total amount of settlement, by multiplying the average rate of cumulative settlement change ratio, to form an index that can comprehensively measure the degree of settlement activity and potential impact at the observation point, and is used to determine whether the observation period of the observation point needs to be dynamically adjusted.

[0023] If the settlement trend judgment value is greater than the preset judgment benchmark, it indicates that the settlement activity of the corresponding observation point is relatively high, and the observation cycle needs to be adjusted and marked as an observation point to be adjusted. If the settlement trend judgment value is less than or equal to the preset judgment benchmark, it indicates that the settlement activity of the corresponding observation point is not high and is relatively stable. Therefore, no adjustment of the observation cycle is required, and it is marked as an unadjusted observation point.

[0024] The preset judgment benchmark is dynamically set by those skilled in the art based on the structural characteristics and standard requirements of the high-altitude connecting corridor. For example, relevant limits for high-altitude connecting corridors in the "Code for Measurement of Building Deformation" (such as the settlement rate stability standard ≤ 0.02 mm / d, and the settlement difference limit ≤ 1 / 1000 of the span) are extracted and converted into quantitative bases (such as the rate base being 0.02 mm / d, and the difference base being calculated according to the span of the connecting corridor). Adjustments are made according to the type of observation point. For sensitive points such as support points and the span of the connecting corridor, the base is reduced by 20%-30% (such as the rate base being reduced to 0.015 mm / d). For stable points such as benchmark points and the main foundation layer, the base is expanded by 50%-100% (such as the rate base being increased by 1 / 1000 of the span). (Relax to 0.03mm / d); Select historical observation data of the same type of connecting corridor to verify whether the initial benchmark can accurately distinguish between active points that need adjustment and stable points that do not need adjustment. If the misjudgment rate exceeds 5%, the benchmark should be fine-tuned. Enter the verified benchmark into the system, clearly marking the applicable observation point type and engineering stage. It should be noted that before comparing the settlement trend judgment value with the preset judgment benchmark, the unit of the settlement judgment value should be converted to the same unit as the preset judgment benchmark, or the unit of the preset judgment benchmark should be converted to the same unit as the settlement trend judgment value. This allows the settlement trend judgment value and the preset judgment benchmark to be compared in one dimension, only requiring the aggregation of numerical values.

[0025] In some embodiments, the process of extracting observation points to be adjusted that have associated observation points is as follows: Obtain all observation points to be adjusted and compare them with the associated combinations in the observation point association system; Extract the observation points that have related combinations and need to be adjusted, and use them as linked observation points; The remaining observation points to be adjusted will be designated as non-linked observation points.

[0026] In step S20, the observation points to be adjusted are first extracted, and then linked observation points are extracted by combining the observation point association system. This can optimize the problem of missing sensitive points caused by fixed cycles and reduce the risk of mismatch of associated point data caused by single adjustment. Specifically, the observation period is dynamically adjusted based on the level of settlement activity to select observation points with high activity. This makes the observation more targeted, reduces the waste of resources caused by indiscriminate adjustments, and reduces the possibility of missing settlement risks by optimizing the observation points with high activity. Then, based on the selected observation points with high activity levels, a second screening is conducted using the observation point correlation analysis system. This allows for differentiated analysis of these high-activity observation points and coordinated adjustments to observation points with correlation points, thereby reducing data mismatches caused by adjusting a single observation point.

[0027] Step S30: Implement differentiated observation cycle adjustment strategies for non-linked and linked observation points: Step S31: Based on the non-linked observation points, calculate the observation cycle execution value according to the trend analysis results and perform the observation cycle adjustment; In some embodiments, non-linked observation points are obtained; for any non-linked observation point. Calculate the difference between the settlement trend judgment value and the preset judgment benchmark, calculate the proportion of the difference to the settlement trend judgment value, and then multiply the calculated proportion with the current observation period of the non-linked observation point to obtain the observation period adjustment value. The difference between the current observation period and the observation period adjustment value of the non-linked observation point is calculated to obtain the observation period execution value of the non-linked observation point. For non-linked observation points, subsequent settlement observations are performed based on the observation cycle values.

[0028] It should be explained that non-linked observation points are not constrained by associated observation points and can independently respond to their own settlement status. By calculating the ratio of the difference between the settlement trend judgment value and the preset benchmark, the degree of activity deviating from the critical state is quantified. Then, combined with the current observation cycle, the adjustment range is determined, so that the cycle adjustment is directly linked to the activity level. Non-linked observation points have a significantly shorter cycle due to their high deviation (to meet the densification requirements). At the same time, the settlement trend judgment value, which integrates the average settlement rate and the cumulative settlement change ratio, is the core, so that the adjustment is adapted to the independent characteristics of non-linked observation points and the actual settlement risk.

[0029] Step S32: Based on the linked observation points, calculate the observation cycle execution value and perform observation cycle adjustment according to the trend analysis results and the observation point association system; In some embodiments, linked observation points are obtained, and corresponding association combinations are obtained in conjunction with the observation point association system. Observation points associated with the linked observation points are obtained as collaborative observation points. For any linked observation point; Calculate the difference between the settlement trend judgment value and the preset judgment benchmark, calculate the proportion of the difference to the settlement trend judgment value, and then multiply the calculated proportion with the current observation period of the linkage observation point to obtain the observation period adjustment value. The difference between the current observation period and the observation period adjustment value of the linked observation point is calculated to obtain the execution value of the observation period of the linked observation point.

[0030] Obtain the synchronization rate of elevation changes and the stability of settlement difference between linked observation points and collaborative observation points; The difference between the elevation change synchronization rate and the median of the preset synchronization rate benchmark range is calculated, and the absolute value of the difference is taken to obtain the synchronization rate deviation value. Then, the difference between the median of the preset synchronization rate benchmark range and the synchronization rate deviation value is calculated to obtain the synchronization rate contribution coefficient. If the synchronization rate reference range is set to [0.8-1.2], then the median of the preset synchronization rate reference range is 1.0.

[0031] The ratio of the settlement difference stability to the preset stability benchmark is calculated. The ratio is then multiplied by the stability adjustment coefficient to obtain the stability contribution deduction value. The difference between 1 and the stability contribution deduction value is calculated to obtain the stability contribution coefficient.

[0032] The synchronization contribution coefficient and the stability contribution coefficient are weighted and fused to obtain a comprehensive coefficient; Among them, the weighting coefficients of the synchronization contribution coefficient and the stability contribution coefficient are determined by those skilled in the art based on the primary objective of periodic synergy (such as the settlement linkage monitoring of the high-altitude connecting corridor and the main structure, which requires prioritizing the time consistency of data comparison), setting the weight of the synchronization contribution coefficient to 0.6 and the weighting coefficient of the stability contribution coefficient to 0.4.

[0033] It should be noted that the comprehensive coefficient reflects the coupling quantitative index of settlement synchronicity and settlement difference stability between the linked observation points and the collaborative observation points. In essence, it integrates the correlation characteristics of two independent dimensions into a single value through the weight logic of prioritizing synchronization and assisting stability. The core mapping is the urgency of maintaining periodic synchronization between the two. The closer the value is to 1, the better the synchronization and stability, the higher the correlation strength, and the more stringent the synchronization period needs to be. The lower the value, the weaker the correlation strength, and the more appropriate the period can be differentiated. This not only fits the monitoring logic of ensuring data comparability first and then controlling the risk of difference in the high-altitude connecting corridor, but also reflects the engineering goal that synchronization is the primary condition for periodic coordination.

[0034] The observation period adjustment value is multiplied by the comprehensive coefficient to obtain the coordinated adjustment value; The difference between the current observation period value and the collaborative adjustment value of the collaborative observation point is calculated to obtain the observation period execution value of the collaborative observation point.

[0035] By quantifying the correlation strength through a comprehensive coefficient, the observation cycle of the collaborative observation point is forced to be synchronized with that of the linked observation point. Even if the observation cycle of the linked observation point is adjusted, the observation cycle of the collaborative observation point can also be adjusted synchronously based on the comprehensive coefficient. This makes the associated observation points match in terms of observation frequency and time nodes, reducing the distortion of settlement analysis caused by data asynchrony, and is especially suitable for the structural characteristics of high-altitude connecting corridors that are sensitive to settlement differences.

[0036] By combining steps S31 and S32, a differentiated observation cycle adjustment strategy is formed. This strategy is implemented by classifying the independent and related characteristics of the observation points of the high-altitude connecting corridor. It optimizes the observation cycle adjustment problem of a single observation point through independent adjustment, and meets the matching of related observation points through collaborative adjustment. Specifically: Non-linked observation points are observation points to be adjusted that are not associated with other observation points (such as independent benchmark points far from the connecting corridor, and non-associated active points in the main foundation layer). Their adjustment is based on their own settlement trend judgment value, without needing to consider the data matching requirements of other observation points. Linked observation points are observation points to be adjusted that have associated observation points (such as the support point of the connecting corridor and the top of the main column). Collaborative observation points are associated observation points that are bound to linked observation points in the associated system. The adjustment should take data time synchronization and effective settlement difference calculation as the core objectives.

[0037] This embodiment extracts data from the historical database of high-altitude connecting corridors. After preprocessing, it performs correlation analysis on all observation points based on the synchronization rate of elevation changes and the stability of settlement difference to construct an observation point correlation system. Then, it performs trend analysis on the historical data of the observation points, selects the observation points to be adjusted, and divides them into linked observation points and non-linked observation points in combination with the correlation system. Finally, it adopts a differentiated observation period adjustment strategy that independently calculates the observation period adjustment value of non-linked observation points based on their own settlement trend, and synchronously calculates the period adjustment value of linked observation points and their cooperating observation points in combination with the comprehensive coefficient. This optimizes the problems of missing sensitive points due to fixed observation periods and data mismatch caused by adjusting linked observation points alone, which leads to the distortion of settlement calculation.

[0038] Example 2 Based on the same inventive concept as the aforementioned embodiment of a method for observing uneven settlement on both sides of a high-altitude connecting corridor in a building, such as... Figure 3 As shown, this application provides a system for observing uneven settlement on both sides of a high-altitude connecting corridor in a building, wherein the system specifically includes: an observation platform; Observation point association system construction module: Extract historical observation data of the high-altitude connecting corridor from the historical observation database, perform association analysis on all observation points of the high-altitude connecting corridor, and construct an observation point association system; Observation point classification module: Performs trend analysis on historical observation data of observation points, extracts observation points whose observation period needs to be adjusted based on the trend analysis results, and compares and analyzes the observation points to be adjusted with the observation point association system. Observation points to be adjusted with associated observation points are extracted as linked observation points, and observation points to be adjusted without associated observation points are extracted as non-linked observation points. Observation period adjustment module: Implements differentiated observation period adjustment strategies for non-linked and linked observation points. Non-linked observation point adjustment unit: Based on non-linked observation points, calculates the observation cycle execution value according to the trend analysis results and performs the observation cycle adjustment; Linked observation point adjustment unit: Based on linked observation points, and according to the trend analysis results combined with the observation point association system, calculates the observation cycle execution value and performs the observation cycle adjustment.

[0039] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for observing uneven settlement on both sides of a high-altitude connecting corridor in a building, characterized in that: Includes the following steps: Historical observation data of the high-altitude connecting corridor were extracted from the historical observation database, and correlation analysis was performed on all observation points of the high-altitude connecting corridor to construct an observation point correlation system. Perform trend analysis on the historical observation data of the observation points, extract the observation points whose observation period needs to be adjusted based on the trend analysis results, and use them as the observation points to be adjusted. Compare and analyze the observation points to be adjusted with the observation point association system, extract the observation points to be adjusted that have association points as linked observation points, and extract the observation points to be adjusted that do not have association points as non-linked observation points. Differentiated observation cycle adjustment strategies are implemented for non-linked and linked observation points, including: Based on non-linked observation points, the observation cycle execution value is calculated according to the trend analysis results and the observation cycle is adjusted accordingly. Based on the linked observation points, and combined with the trend analysis results and the observation point association system, the execution value of the observation period is calculated and the observation period is adjusted.

2. The method for observing uneven settlement on both sides of a high-altitude connecting corridor of a building according to claim 1, characterized in that: The process of establishing the observation point association system is as follows: All observation points are randomly paired to obtain the observation point analysis combination; The extracted historical observation data is divided into the same historical time period, and the historical observation data is analyzed to calculate the elevation change synchronization rate and settlement difference stability corresponding to each observation point analysis combination. If the analysis combination of observation points satisfies both of the following conditions, then the analysis combination of observation points is judged to be an associated combination; Condition 1: The elevation change synchronization rate is within the preset synchronization rate benchmark range; Condition 2: The settlement difference stability is less than the preset stability benchmark. Extract all the associated combinations and construct the observation point association system.

3. The method for observing uneven settlement on both sides of a high-altitude connecting corridor of a building according to claim 2, characterized in that: The process for obtaining the synchronization rate of the process change and the stability of the settlement difference is as follows: Calculate the cumulative elevation change corresponding to each historical period observation point, process the ratio of the cumulative elevation change of two observation points to obtain the elevation change ratio, and average the elevation change ratios of all historical periods to obtain the elevation change synchronization rate. Calculate the settlement difference between two observation points at each observation time within a historical period, calculate the coefficient of variation of the settlement difference within the historical period, and average the coefficients of variation for all historical periods to obtain the stability of the settlement difference.

4. The method for observing uneven settlement on both sides of a high-altitude connecting corridor of a building according to claim 3, characterized in that: The calculation process for the differential settlement is as follows: The observation points in the observation point analysis combination are respectively denoted as observation point A and observation point B; Extract the observation time and the elevation values ​​of the two observation points at the corresponding time within the historical period; Calculate the settlement of observation point A and the settlement of observation point B at each subsequent time point; Settlement is the difference between the elevation value at subsequent observation times and the elevation value at the initial observation time. The settlement difference is the absolute value of the difference between the settlement at observation point A and observation point B at the same time.

5. A method for observing uneven settlement on both sides of a high-altitude connecting corridor of a building, as described in claim 1, characterized in that: The process of obtaining the observation points to be adjusted is as follows: The elevation values ​​corresponding to the observation points are sorted according to the timestamp order, and the settlement corresponding to each observation time is calculated to obtain the settlement time series. The time series of settlement was analyzed, and the ratio of the mean settlement rate to the cumulative settlement change was calculated. The settlement trend judgment value is obtained by multiplying the average settlement rate with the cumulative settlement change ratio. If the settlement trend judgment value is greater than the preset judgment benchmark, it is marked as an observation point to be adjusted.

6. A method for observing uneven settlement on both sides of a high-altitude connecting corridor of a building, as described in claim 5, characterized in that: The process for obtaining the average settlement rate and the ratio of cumulative settlement change is as follows: The rate of change of two adjacent settlement values ​​in the time series of settlement is calculated as the settlement rate. The settlement rate is then averaged to obtain the average settlement rate. Calculate the absolute value of the difference between the settlement at the last observation time and the settlement at the first observation time in the settlement time series, and calculate the proportion of the absolute value of the difference to the maximum allowable settlement in the design, as the cumulative settlement change ratio.

7. A method for observing uneven settlement on both sides of a high-altitude connecting corridor of a building according to claim 1, characterized in that: The process of calculating the observation period execution value based on trend analysis results from non-linked observation points is as follows: Calculate the difference between the settlement trend judgment value and the preset judgment benchmark, calculate the proportion of the difference to the settlement trend judgment value, and then multiply the calculated proportion with the current observation period of the non-linked observation point to obtain the observation period adjustment value. The difference between the current observation period and the observation period adjustment value of the non-linked observation point is calculated to obtain the execution value of the observation period of the non-linked observation point.

8. A method for observing uneven settlement on both sides of a high-altitude connecting corridor of a building according to claim 1, characterized in that: The process of calculating the execution value of the observation period based on the linked observation points, the trend analysis results, and the observation point association system is as follows: Obtain observation points associated with linked observation points as collaborative observation points; Calculate the difference between the settlement trend judgment value and the preset judgment benchmark, calculate the proportion of the difference to the settlement trend judgment value, and then multiply the calculated proportion with the current observation period of the linkage observation point to obtain the observation period adjustment value. The difference between the current observation period and the observation period adjustment value of the linked observation point is calculated to obtain the observation period execution value of the linked observation point. The observation period adjustment value is multiplied by the comprehensive coefficient to obtain the coordinated adjustment value; The difference between the current observation period value and the collaborative adjustment value of the collaborative observation point is calculated to obtain the observation period execution value of the collaborative observation point.

9. A method for observing uneven settlement on both sides of a high-altitude connecting corridor of a building, as described in claim 8, characterized in that: The calculation process for the comprehensive coefficient is as follows: Obtain the synchronization rate of elevation changes and the stability of settlement difference between linked observation points and collaborative observation points; The difference between the elevation change synchronization rate and the median of the preset synchronization rate benchmark range is calculated, and the absolute value of the difference is taken to obtain the synchronization rate deviation value. Then, the difference between the median of the preset synchronization rate benchmark range and the synchronization rate deviation value is calculated to obtain the synchronization rate contribution coefficient. The ratio of the settlement difference stability to the preset stability benchmark is calculated, and the ratio is multiplied by the stability adjustment coefficient to obtain the stability contribution deduction value. The difference between 1 and the stability contribution deduction value is calculated to obtain the stability contribution coefficient. The synchronization contribution coefficient and the stability contribution coefficient are weighted and fused to obtain the comprehensive coefficient.

10. A system for monitoring uneven settlement on both sides of a high-rise building connecting corridor, characterized in that, The system is used to perform the method according to any one of claims 1-9, the system comprising: Observation point association system construction module: Extract historical observation data of the high-altitude connecting corridor from the historical observation database, perform association analysis on all observation points of the high-altitude connecting corridor, and construct an observation point association system; Observation point classification module: Performs trend analysis on historical observation data of observation points, extracts observation points whose observation period needs to be adjusted based on the trend analysis results, and compares and analyzes the observation points to be adjusted with the observation point association system. Observation points to be adjusted with associated observation points are extracted as linked observation points, and observation points to be adjusted without associated observation points are extracted as non-linked observation points. Observation cycle adjustment module: Implements differentiated observation cycle adjustment strategies for non-linked and linked observation points, including: Non-linked observation point adjustment unit: Based on non-linked observation points, calculates the observation cycle execution value according to the trend analysis results and performs the observation cycle adjustment; Linked observation point adjustment unit: Based on linked observation points, and according to the trend analysis results combined with the observation point association system, calculates the observation cycle execution value and performs the observation cycle adjustment.

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