A method and system for observing uneven settlement on both sides of a high-altitude corridor of a building

Abstract

The present application belongs to the technical field of building settlement observation engineering, and provides a method and system for observing uneven settlement on both sides of a building high-altitude corridor, comprising the following steps: extracting historical observation data of the high-altitude corridor from an observation history database, performing correlation analysis on all observation points of the high-altitude corridor, and constructing an observation point correlation system; performing trend analysis on the historical observation data of the observation points, extracting observation points with an observation period to be adjusted according to the trend analysis results, as observation points to be adjusted, comparing and analyzing the observation points to be adjusted with the observation point correlation system, extracting observation points to be adjusted with correlated observation points, as linked observation points, and observation points to be adjusted without correlated observation points, as non-linked observation points. The method optimizes the problem of missing sensitive point measurement caused by fixed observation period and data mismatch caused by single adjustment of correlated observation points, thereby causing settlement amount calculation distortion.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of building settlement observation engineering, and in particular relates to a method and system for observing uneven settlement on both sides of a high-altitude corridor of a building. BACKGROUND

[0002] A high-altitude corridor is a high-altitude crossing structure connecting two independent main bodies. Such a structure is common in building engineering and is mainly used to realize traffic connection or functional integration between different building main bodies. Since the high-altitude corridor spans a large space, the foundations on both sides thereof are often affected by various factors such as different geological conditions, construction errors, and load changes during use, and are prone to uneven settlement. Such uneven settlement not only affects the structural safety and use function of the corridor, but also may adversely affect the connected building main bodies. Therefore, it is particularly important to accurately and timely observe the settlement on both sides of the high-altitude corridor.

[0003] However, in the actual observation process, due to the differences in function (reference point / main point / corridor point), stress state (support node / midspan node), and environmental interference (high-altitude strong wind / ground vibration) of the high-altitude corridor observation points, the settlement trends are greatly different. A fixed observation period may lead to the risk of missing sensitive points, and there is a lack of adaptive adjustment of the observation period in combination with the change trend of the observation data. Moreover, when adjusting the observation period of the observation points, since the observation points of the high-altitude corridor are a related system, for example, instability of the reference point may affect the main point, and settlement difference of the main point may affect the corridor point. If only the observation period of a single observation point is adjusted, the data may not be matched, thereby causing distortion of the settlement amount calculation and misjudgment of the settlement result.

[0004] Therefore, the application provides a method and system for observing uneven settlement on both sides of a high-altitude corridor of a building. SUMMARY

[0005] In order to make up for the deficiencies of the prior art and solve at least one technical problem raised in the background.

[0006] The technical scheme adopted by the application to solve the technical problems is: a method for observing uneven settlement on both sides of a high-altitude corridor of a building, comprising the following steps:

[0007] Extracting historical observation data of the high-altitude corridor from an observation history database, performing correlation analysis on all observation points of the high-altitude corridor, and constructing an observation point correlation system;

[0008] The historical observation data of the observation points are subjected to trend analysis, and the observation points to be adjusted are extracted as the observation points to be adjusted according to the trend analysis results; the observation points to be adjusted are subjected to comparison analysis with the observation point correlation system, and the observation points to be adjusted which have the correlated observation points are extracted as the linkage observation points, and the observation points to be adjusted which do not have the correlated observation points are extracted as the non-linkage observation points;

[0009] The differentiated observation period adjustment strategies are performed on the non-linkage observation points and the linkage observation points, including:

[0010] The observation period execution values are calculated based on the non-linkage observation points according to the trend analysis results, and the observation period adjustment is performed;

[0011] The observation period execution values are calculated based on the linkage observation points according to the trend analysis results in combination with the observation point correlation system, and the observation period adjustment is performed.

[0012] A system for observing the uneven settlement of two sides of a building high-altitude corridor, the system comprising:

[0013] An observation point correlation system construction module: historical observation data of the high-altitude corridor are extracted from an observation history database, and correlation analysis is performed on all the observation points of the high-altitude corridor to construct an observation point correlation system;

[0014] An observation point classification module: the historical observation data of the observation points are subjected to trend analysis, and the observation points to be adjusted are extracted as the observation points to be adjusted according to the trend analysis results; the observation points to be adjusted are subjected to comparison analysis with the observation point correlation system, and the observation points to be adjusted which have the correlated observation points are extracted as the linkage observation points, and the observation points to be adjusted which do not have the correlated observation points are extracted as the non-linkage observation points;

[0015] An observation period adjustment module: the differentiated observation period adjustment strategies are performed on the non-linkage observation points and the linkage observation points, including:

[0016] A non-linkage observation point adjustment unit: the observation period execution values are calculated based on the non-linkage observation points according to the trend analysis results, and the observation period adjustment is performed;

[0017] A linkage observation point adjustment unit: the observation period execution values are calculated based on the linkage observation points according to the trend analysis results in combination with the observation point correlation system, and the observation period adjustment is performed.

[0018] The beneficial effects of the present application are as follows:

[0019] The application extracts data from a high-level corridor observation history database, performs correlation analysis on all observation points based on the elevation change synchronization rate and the stability of the settlement difference after preprocessing to construct an observation point correlation system, performs trend analysis on the historical data of the observation points, screens out observation points to be adjusted, and divides the observation points into linkage observation points and non-linkage observation points in combination with the correlation system. Finally, the difference of the observation period adjustment value is calculated for the non-linkage observation points based on the settlement trend of the observation points, and the difference of the observation period adjustment value is calculated for the linkage observation points and their cooperative observation points in combination with the comprehensive coefficient, thereby optimizing the problem of sensitive point missing caused by fixed observation period and the problem of settlement calculation distortion caused by data mismatch of single adjustment of associated observation points.

[0020] The application first screens out observation points with high activity degree based on the settlement activity degree, and then performs dynamic adjustment on the observation period of the observation points with high activity degree, so as to be more targeted, reduce resource waste caused by indiscriminate adjustment, and reduce the risk of missing settlement by optimizing the observation points with high activity degree. Then, the observation points with high activity degree are screened out again based on the observation point correlation analysis system, and the observation points with high activity degree are analyzed differently, and the observation points with associated points are adjusted cooperatively, so as to reduce the situation of data mismatch caused by single adjustment of observation points, optimize the problem of sensitive point missing caused by fixed period, and reduce the risk of data mismatch of associated points caused by single adjustment.

[0021] The application is used for the observation method of the uneven settlement of the two sides of the high-level corridor of the building, and the adjustment of the non-linkage observation points is based on the settlement trend judgment value of the observation points, without considering the data matching demand of other observation points. For the linkage observation points, the cooperative observation points are the associated observation points in the correlation system, and the adjustment needs to be based on the core target of data time synchronization and settlement difference calculation, and a differentiated observation period adjustment strategy is composed, which is classified and applied to the independent characteristics and associated characteristics of the high-level corridor observation points. The single observation point observation period adjustment problem is optimized by independent adjustment, and the matching of the associated observation points is satisfied by cooperative adjustment. BRIEF DESCRIPTION OF DRAWINGS

[0022] The application will be further described below with reference to the drawings.

[0023] Figure 1 is a step flow chart of the observation method of the uneven settlement of the two sides of the high-level corridor of the building of the application;

[0024] Figure 2 is a part of the step flow chart of the observation method of the uneven settlement of the two sides of the high-level corridor of the building of the application;

[0025] Figure 3It is a kind of used for building high-altitude corridor both sides uneven settlement observation system module architecture. DETAILED DESCRIPTION

[0026] In order to make the technical means, creative features, purposes and effects of the present application easy to understand, the following will be further described in conjunction with specific embodiments.

[0027] Embodiment 1

[0028] Please refer to Figure 1 and Figure 2 The method comprises the following steps:

[0029] Step S10: extracting historical observation data of the high-altitude corridor from the observation history database, performing correlation analysis on all observation points of the high-altitude corridor, and constructing an observation point correlation system;

[0030] In some embodiments, the process of extracting historical observation data of the high-altitude corridor is as follows:

[0031] The historical observation data includes basic attributes, observation data and engineering stage annotations.

[0032] The basic attributes at least include observation point type, observation point layout position and structure correlation attribute.

[0033] For example, the observation point type is annotated as: reference point, main point, corridor point.

[0034] The observation point layout position is: reference point-square underground rock layer, main point-east side 25th floor column top, corridor point-west side support above.

[0035] The structure correlation attribute is: the support type (elastic / slip) corresponding to the corridor point.

[0036] The observation data at least includes observation timestamp and elevation value.

[0037] The engineering stage annotation includes: the engineering stage (construction period / initial completion period / stable period / reconstruction period) corresponding to the correlation data, and special events in this stage, for example, 2024.03-east side main body added equipment layer, 2024.06-corridor below pipe gallery construction.

[0038] The historical observation data is preprocessed, including: outlier rejection processing, data completion processing and elevation reference unification.

[0039] In some embodiments, the process of performing correlation analysis on all observation points of the high-altitude corridor is as follows:

[0040] The correlation analysis is mainly based on two dimensions of elevation change synchronization rate and subsidence difference stability.

[0041] Specifically, all observation points are combined in pairs to obtain observation point analysis combinations.

[0042] Based on any observation point analysis combination, the extracted historical observation data is divided according to the same historical period.

[0043] The cumulative elevation change of each observation point corresponding to each historical period is calculated, and the cumulative elevation change ratio of the two observation points is processed to obtain the elevation change ratio. The elevation change ratios of all historical periods are averaged to obtain the elevation change synchronization rate.

[0044] The cumulative elevation change refers to the final change sum of the multiple observation elevation values of the observation point within the time period from the initial time of the historical period to the end time of the historical period, which reflects the total subsidence / lifting amplitude of the point within a period of time.

[0045] The subsidence difference of the two observation points corresponding to each observation time within the historical period is calculated, the mean and standard deviation of all subsidence differences within the historical period are calculated, and the coefficient of variation is calculated based on the mean and standard deviation of the subsidence difference.

[0046] The coefficients of variation corresponding to all historical periods are averaged to obtain the subsidence difference stability.

[0047] The calculation process of the subsidence difference is as follows: the two observation points in the observation point analysis combination are denoted as observation point A and observation point B.

[0048] The observation times (such as T1, T2, …, Tn) and the elevation values of the two observation points at the corresponding times within the historical period are extracted, where T1 is the initial observation time of the period, T2 to Tn are subsequent observation times, and n is the total number of observation times.

[0049] The subsidence of observation point A at each subsequent time is calculated: the subsidence at a certain time (such as Tk, k≥2, k is the index of the observation time) is the difference between the elevation value of observation point A at that time and the elevation value of observation point A at T1.

[0050] The subsidence of observation point B at each subsequent time is calculated: the subsidence at a certain time (such as Tk, k≥2) is the difference between the elevation value of observation point B at that time and the elevation value of observation point B at T1.

[0051] The subsidence difference at that time (Tk) is calculated: the subsidence difference is the absolute value of the difference between the subsidence of observation point A at Tk and the subsidence of observation point B at Tk.

[0052] Exemplarily, two observation points in the observation point analysis combination are denoted as observation point A and observation point B, respectively;

[0053] If the elevation value of observation point A at T1 is 105.536 m, and the elevation value of observation point B at T1 is 102.538 m;

[0054] The elevation value of observation point A at T2 is 102.516 m, and the elevation value of observation point B at T2 is 102.528 m;

[0055] The settlement amount of observation point A is calculated as the difference between the elevation value at T2 and the elevation value at T1.

[0056] The settlement amount of observation point B is calculated as the difference between the elevation value at T2 and the elevation value at T1.

[0057] The settlement difference is the absolute value of the difference between the settlement amount of observation point A and the settlement amount of observation point B.

[0058] If the observation point analysis combination satisfies the following two conditions at the same time, it is judged that the observation point analysis combination is a correlation combination.

[0059] Condition one: the elevation change synchronization rate is within the preset synchronization rate reference range;

[0060] Condition two: the settlement difference stability is less than the preset stability reference;

[0061] Wherein, the synchronization rate reference range and the stability reference are set by the person skilled in the art based on experience, the synchronization rate reference range is set to [0.8-1.2], and the stability reference is set to 0.2.

[0062] If the observation point analysis combination cannot satisfy the above two conditions at the same time, it is judged that the observation point analysis combination is a non-correlation combination.

[0063] Extract all the correlation combinations to construct the observation point correlation system.

[0064] In step S10, the correlation analysis between observation points is first based on historical observation data to determine which observation points belong to the linkage group that needs to be adjusted synchronously, and which observation points can be adjusted independently, so as to reduce the subsequent adjustment period of the linkage observation point, accurately match the correlation relationship, and avoid missing the correlation points or misadjusting the non-correlation points.

[0065] Step S20: Trend analysis is performed on the historical observation data of the observation points, and the observation points to be adjusted are extracted as the observation points to be adjusted according to the trend analysis results. The observation points to be adjusted are compared and analyzed with the observation point correlation system, and the observation points to be adjusted that have correlation observation points are extracted as the linkage observation points, and the observation points to be adjusted that do not have correlation observation points are extracted as the non-linkage observation points.

[0066] In some embodiments, the process of trend analysis on the historical observation data of the observation point is:

[0067] For any one observation point, the elevation value corresponding to the observation point is sorted in the order of the timestamp, the subsidence amount corresponding to each observation time is calculated, and a subsidence amount time sequence is obtained;

[0068] Wherein, the subsidence amount is the same as the calculation process in the foregoing step S10.

[0069] The change rate of the adjacent two subsidence amounts in the subsidence amount time sequence is calculated as the subsidence rate, and the subsidence rate is processed by mean value to obtain the mean value of the subsidence rate;

[0070] Wherein, the subsidence rate refers to the absolute value of the difference between the subsequent subsidence amount and the previous subsidence amount in the adjacent two subsidence amounts, and the proportion of the absolute value of the difference to the time difference of the two subsidence amounts is calculated.

[0071] The absolute value of the difference between the subsidence amount at the last observation time and the subsidence amount at the first observation time in the subsidence amount time sequence is calculated, and the proportion of the absolute value of the difference to the maximum design subsidence amount is calculated as the cumulative subsidence change ratio.

[0072] The mean value of the subsidence rate and the cumulative subsidence change ratio are multiplied to obtain the subsidence trend judgment value;

[0073] It should be noted that the subsidence trend judgment value reflects the coupling quantitative index of the dynamic rate (time dimension speed) of the observation point subsidence and the relative scale (total amount dimension influence degree) of the cumulative subsidence, and the essence is to fuse the information of the subsidence speed and the relative total amount of subsidence of the two independent dimensions by the product of the rate mean value and the cumulative subsidence change ratio, to form an index that can comprehensively measure the activity degree and potential influence of the observation point, for judging whether the observation period of the observation point needs to be adjusted.

[0074] If the subsidence trend judgment value is greater than the preset judgment reference, it means that the activity degree of the corresponding observation point is high, and the observation period needs to be adjusted, and the observation point is marked as a to-be-adjusted observation point;

[0075] If the subsidence trend judgment value is less than or equal to the preset judgment reference, it means that the activity degree of the corresponding observation point is not high and is stable, and the observation period does not need to be adjusted, and the observation point is marked as a non-adjustment observation point.

[0076] The preset judgment criterion is dynamically set by a person skilled in the art in combination with the structural characteristics and specification requirements of the high-level corridor, for example, the relevant limit value (such as the settlement rate stability standard ≤0.02 mm / d, and the settlement difference limit value ≤span 1 / 1000) of the high-level corridor in the “Building Deformation Measurement Specification” is extracted, and is converted into a quantitative basis (such as the rate basis is 0.02 mm / d, and the difference basis is calculated according to the corridor span); the basis is reduced by 20%-30% (such as the rate basis is reduced to 0.015 mm / d) according to the observation point type adjustment, and the basis is increased by 50%-100% (such as the rate basis is relaxed to 0.03 mm / d) for stable points such as reference points and main foundation layers; the same type of historical observation data of the corridor is selected to verify whether the initially determined criterion can accurately distinguish active points that need to be adjusted and stable points that do not need to be adjusted, and if the misjudgment rate exceeds 5%, the basis is fine-tuned; the verified criterion is recorded in the system, and the applicable observation point type and engineering stage are clearly marked, and it should be noted that before the settlement trend judgment value is compared with the preset judgment criterion, the unit of the settlement judgment value needs to be converted to the same unit as the preset judgment criterion, or the unit of the preset judgment criterion is preset to be converted to the same unit as the settlement trend judgment value, so that the settlement trend judgment value and the preset judgment criterion can be compared in one dimension, and only the numerical value needs to be aggregated.

[0077] In some embodiments, the process of extracting the to-be-adjusted observation points associated with the observation points is as follows:

[0078] All to-be-adjusted observation points are obtained and compared and analyzed with the associated combinations in the observation point association system;

[0079] The to-be-adjusted observation points associated with the associated combinations are extracted as linkage observation points;

[0080] The remaining to-be-adjusted observation points are taken as non-linkage observation points.

[0081] In step S20, first, the to-be-adjusted observation points are extracted, and then the linkage observation points are extracted in combination with the observation point association system, which can optimize the problem of missing sensitive points caused by fixed periods, and reduce the risk of data mismatch caused by single adjustment;

[0082] Specifically, first, the observation points with high activity degree are selected based on the settlement activity degree for dynamic adjustment of the observation period, so that the adjustment is more targeted, the resource waste caused by indiscriminate adjustment is reduced, and the risk of missing settlement is also reduced by optimizing the observation points with high activity degree;

[0083] Then based on the high activity degree of the selected observation points, combined with the observation point correlation analysis system, the high activity degree of the observation points can be differentiated and analyzed, and the observation points with correlation points can be adjusted coordinately, so as to reduce the data mismatch caused by single adjustment of the observation points.

[0084] Step S30: Perform differentiated observation period adjustment strategy on non-interactive observation points and interactive observation points:

[0085] Step S31: Based on the non-interactive observation points, calculate the observation period execution value according to the trend analysis result and perform the observation period adjustment;

[0086] In some embodiments, the non-interactive observation points are obtained, and for any one non-interactive observation point;

[0087] The difference between the settlement trend judgment value and the preset judgment reference is calculated, the proportion of the difference in the settlement trend judgment value is calculated, and the calculated proportion is multiplied by the current observation period of the non-interactive observation point to obtain an observation period adjustment value;

[0088] The difference between the current observation period of the non-interactive observation point and the observation period adjustment value is calculated to obtain the observation period execution value of the non-interactive observation point;

[0089] For the non-interactive observation points, subsequent settlement observation is performed based on the observation period execution value.

[0090] It should be explained that the non-interactive observation points are not subject to the constraints of the non-interactive observation points, and can independently respond to their own settlement state. By calculating the difference between the settlement trend judgment value and the preset reference, the degree of deviation from the critical state is quantified, and the adjustment range is determined in combination with the current observation period, so that the period adjustment is directly related to the activity degree. The non-interactive observation points are significantly shortened due to high deviation (to meet the encryption requirement), and the settlement trend judgment value of the fusion settlement rate mean and the cumulative settlement change ratio is taken as the core, so that the adjustment adapts to the independent characteristics of the non-interactive observation points and the actual settlement risk.

[0091] Step S32: Based on the interactive observation points, calculate the observation period execution value according to the trend analysis result combined with the observation point correlation system, and perform the observation period adjustment;

[0092] In some embodiments, the interactive observation points are obtained, and the corresponding correlation combination is obtained combined with the observation point correlation system, the observation points associated with the interactive observation points are obtained as the cooperative observation points;

[0093] For any one interactive observation point;

[0094] The difference between the settlement trend judgment value and the preset judgment reference is calculated, the ratio of the difference to the settlement trend judgment value is calculated, and then the calculated ratio is multiplied by the current observation period of the linkage observation point to obtain an observation period adjustment value;

[0095] The current observation period of the linkage observation point is subtracted from the observation period adjustment value to obtain an observation period execution value of the linkage observation point.

[0096] The height change synchronization rate and the settlement difference stability between the linkage observation point and the cooperative observation point are obtained.

[0097] The difference between the height change synchronization rate and the median of the preset synchronization rate reference range is calculated, and the absolute value of the difference is obtained to obtain a synchronization rate deviation value. Then, the difference between the median of the preset synchronization rate reference range and the synchronization rate deviation value is calculated to obtain a synchronization rate contribution coefficient.

[0098] The median of the preset synchronization rate reference range is 1.0 when the synchronization rate reference range is set to [0.8-1.2].

[0099] The ratio of the settlement difference stability to the preset stability reference is calculated, and the product of the ratio and the stability adjustment coefficient is calculated to obtain a stability contribution deduction value. The difference between 1 and the stability contribution deduction value is calculated to obtain a stability contribution coefficient.

[0100] The synchronization contribution coefficient and the stability contribution coefficient are weighted and fused to obtain a comprehensive coefficient.

[0101] The weight coefficients of the synchronization contribution coefficient and the stability contribution coefficient are set by a person skilled in the art based on the primary goal of period synchronization (such as the settlement linkage monitoring of the high-level corridor and the main structure, which needs to prioritize the time consistency of data comparison), the weight of the synchronization contribution coefficient is 0.6, and the weight coefficient of the stability contribution coefficient is 0.4.

[0102] It should be noted that the comprehensive coefficient reflects the coupling quantitative index of the settlement synchronization and the settlement difference stability between the linkage observation point and the cooperative observation point. The essence is to fuse the correlation characteristics of the two independent dimensions into a single value through the weight logic of synchronization priority and stability assistance. The core maps the urgency of maintaining period synchronization. The closer the value is to 1, the better the synchronization and stability are, the higher the correlation strength is, and the observation period needs to be strictly synchronized. The lower the value is, the weaker the correlation strength is, and the observation period can be moderately differentiated. This not only conforms to the monitoring logic of first ensuring data comparability and then controlling difference risk of the high-level corridor, but also reflects the engineering goal of synchronization being the primary condition of period synchronization.

[0103] The observation period adjustment value is multiplied by the comprehensive coefficient to obtain a cooperative adjustment value.

[0104] The current observation period value of the cooperative observation point is subtracted from the cooperative adjustment value to obtain an observation period execution value of the cooperative observation point.

[0105] By quantifying the correlation strength through the comprehensive coefficient, the observation period of the cooperative observation point is forced to be synchronized with the observation period of the linked observation point, that is, even if the observation period of the linked observation point is adjusted, the observation period of the cooperative observation point can also be synchronously adjusted based on the comprehensive coefficient, so that the observation frequency and time node of the correlated observation points are matched, the settlement analysis distortion caused by different data is reduced, and the structure characteristics sensitive to the settlement difference of the high-altitude corridor are particularly adapted.

[0106] Through the combination of steps S31 and S32, a differentiated observation period adjustment strategy is composed, which classifies and implements strategies according to the independent characteristics and correlation characteristics of the high-altitude corridor observation points, optimizes the observation period adjustment problem of a single observation point through independent adjustment, and meets the matching of correlated observation points through cooperative adjustment;

[0107] Specifically, the non-linked observation point is an uncorrelated observation point to be adjusted (such as an independent reference point far from the corridor, a non-correlated active point of the main body foundation layer), and its adjustment is based on the settlement trend judgment value of the observation point itself, without considering the data matching requirements of other observation points.

[0108] The linked observation point is a to-be-adjusted observation point with correlated observation points (such as a corridor support point and a main body column top point), and the cooperative observation point is a correlated observation point bound to the linked observation point in the correlation system, and the adjustment needs to take data time synchronization and settlement difference calculation effectiveness as the core target.

[0109] In this embodiment, data is extracted from the high-altitude corridor observation history database, and after preprocessing, all observation points are correlated and analyzed based on the elevation change synchronization rate and the settlement difference stability to construct an observation point correlation system. Then, the historical data of the observation points are analyzed for trends, the to-be-adjusted observation points are screened, and the linked observation points and the non-linked observation points are divided in combination with the correlation system. Finally, the non-linked observation points are independently calculated for the observation period adjustment value based on the settlement trend of the observation points themselves, and the linked observation points and their cooperative observation points are combined with the comprehensive coefficient to synchronously calculate the period adjustment value, thereby optimizing the problems of sensitive point missing caused by fixed observation period and settlement quantity calculation distortion caused by data mismatch of single adjustment of correlated observation points.

[0110] Embodiment 2

[0111] Based on the same inventive concept as the building high-altitude corridor two-side uneven settlement observation method in the foregoing embodiment, as shown in Figure 3 The application provides a building high-altitude corridor two-side uneven settlement observation system, wherein the system specifically comprises an observation platform.

[0112] Observation point correlation system construction module: extracting the historical observation data of the high-level corridor from the observation history database, performing correlation analysis on all observation points of the high-level corridor, and constructing an observation point correlation system;

[0113] Observation point classification module: performing trend analysis on the historical observation data of the observation points, extracting the observation points to be adjusted according to the trend analysis results as the observation points to be adjusted, comparing and analyzing the observation points to be adjusted with the observation point correlation system, extracting the observation points to be adjusted with the correlated observation points as the linked observation points, and extracting the observation points to be adjusted without the correlated observation points as the non-linked observation points;

[0114] Observation period adjustment module: performing differentiated observation period adjustment strategies on the non-linked observation points and the linked observation points:

[0115] Non-linked observation point adjustment unit: based on the non-linked observation points, calculating the observation period execution value according to the trend analysis results and performing observation period adjustment;

[0116] Linked observation point adjustment unit: based on the linked observation points, calculating the observation period execution value according to the trend analysis results in combination with the observation point correlation system and performing observation period adjustment.

[0117] The basic principles, main features and advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited by the above embodiments, and the above embodiments and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for observing uneven settlement on both sides of a high-altitude corridor in a building, characterized by: The method comprises the following steps: extracting historical observation data of the high-level corridor from an observation history database, performing correlation analysis on all observation points of the high-level corridor, and constructing an observation point correlation system; performing trend analysis on the historical observation data of the observation points, extracting observation points to be adjusted according to the trend analysis result, as observation points to be adjusted, comparing and analyzing the observation points to be adjusted with the observation point correlation system, extracting observation points to be adjusted which have correlated observation points, as linked observation points, and extracting observation points to be adjusted which do not have correlated observation points, as non-linked observation points; performing differentiated observation period adjustment strategies on the non-linked observation points and the linked observation points, including: based on the non-linked observation points, calculating the observation period execution value according to the trend analysis result and performing observation period adjustment; based on the linked observation points, calculating the observation period execution value according to the trend analysis result in combination with the observation point correlation system, and performing observation period adjustment.

2. The method for observing uneven settlement on both sides of a high-altitude corridor in a building according to claim 1, characterized in that: The process of constructing the observation point correlation system is: performing arbitrary combination of all observation points in pairs to obtain observation point analysis combinations; dividing the extracted historical observation data into the same historical period, analyzing the historical observation data, and calculating the elevation change synchronization rate and the settlement difference stability corresponding to each observation point analysis combination; if the observation point analysis combination meets the following two conditions at the same time, the observation point analysis combination is judged to be a correlated combination; condition one: the elevation change synchronization rate is within a preset synchronization rate benchmark range, and condition two: the settlement difference stability is less than a preset stability benchmark; extract all correlated combinations to construct the observation point correlation system.

3. The method for observing uneven settlement on both sides of a high-altitude corridor in a building according to claim 2, characterized in that: The process of obtaining the elevation change synchronization rate and the settlement difference stability is: calculating the cumulative elevation change amount of each observation point in each historical period, processing the cumulative elevation change amount ratio of two observation points to obtain an elevation change ratio, and performing mean processing on the elevation change ratios of all historical periods to obtain the elevation change synchronization rate; calculating the settlement difference of two observation points at each observation time in a historical period, calculating the coefficient of variation of the settlement difference in the historical period, and performing mean processing on the coefficients of variation of all historical periods to obtain the settlement difference stability.

4. The method for observing uneven settlement on both sides of a high-altitude corridor in a building according to claim 3, characterized in that: The calculation process of the settlement difference is: respectively record the observation points in the observation point analysis combination 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 in the historical period; respectively calculate the settlement amount of observation point A at each subsequent time and the settlement amount of observation point B at each subsequent time; the settlement amount is the difference between the elevation value at the subsequent observation time and the elevation value at the initial observation time; the settlement difference is the absolute value of the difference between the settlement amount of observation point A and the settlement amount of observation point B at the same time.

5. The method for observing uneven settlement on both sides of a high-altitude corridor in a building according to claim 1, characterized in that: The process of performing trend analysis on the historical observation data of the observation points, and extracting observation points to be adjusted according to the trend analysis result, as observation points to be adjusted, is: sort the elevation values corresponding to the observation points in chronological order, calculate the settlement amount corresponding to each observation time, and obtain a settlement amount time sequence; analyze the settlement amount time sequence, calculate the mean settlement rate and the cumulative settlement change ratio; multiply the mean settlement rate and the cumulative settlement change ratio to obtain a settlement trend judgment value; If the settlement trend judgment value is greater than the preset judgment reference, the observation point is marked as to be adjusted.

6. The method for observing uneven settlement on both sides of a high-altitude corridor in a building according to claim 5, characterized in that: The process of analyzing the settlement amount time sequence and calculating the average settlement rate and the cumulative settlement change ratio is as follows: The change rate of the adjacent two settlement amounts in the settlement amount time sequence is calculated as the settlement rate, the settlement rate is averaged, and the average settlement rate is obtained. The absolute value of the difference between the settlement amount at the last observation time and the settlement amount at the first observation time in the settlement amount time sequence is calculated, and the ratio of the absolute value to the maximum design allowable settlement amount is calculated as the cumulative settlement change ratio.

7. The method for observing uneven settlement on both sides of a high-altitude corridor in a building according to claim 1, characterized in that: The process of calculating the observation period execution value of the non-linked observation point based on the trend analysis result is as follows: The difference between the settlement trend judgment value and the preset judgment reference is calculated, the ratio of the difference to the settlement trend judgment value is calculated, and the product of the calculated ratio and the current observation period of the non-linked observation point is calculated to obtain the observation period adjustment value. The difference between the current observation period of the non-linked observation point and the observation period adjustment value is calculated to obtain the observation period execution value of the non-linked observation point.

8. The method for observing uneven settlement on both sides of a high-altitude corridor in a building according to claim 1, characterized in that: The process of calculating the observation period execution value of the linked observation point based on the trend analysis result and the observation point association system is as follows: The observation points associated with the linked observation point are obtained as the cooperative observation points. The difference between the settlement trend judgment value and the preset judgment reference is calculated, the ratio of the difference to the settlement trend judgment value is calculated, and the product of the calculated ratio and the current observation period of the linked observation point is calculated to obtain the observation period adjustment value. The difference between the current observation period of the linked observation point and the observation period adjustment value is calculated to obtain the observation period execution value of the linked observation point. The product of the observation period adjustment value and the comprehensive coefficient is calculated to obtain the cooperative adjustment value. The difference between the current observation period value of the cooperative observation point and the cooperative adjustment value is calculated to obtain the observation period execution value of the cooperative observation point.

9. The method for observing uneven settlement on both sides of a high-altitude corridor in a building according to claim 8, characterized in that: The process of calculating the comprehensive coefficient is as follows: The elevation change synchronization rate and the settlement difference stability between the linked observation point and the cooperative observation point are obtained. The difference between the median value of the preset synchronization rate reference range and the elevation change synchronization rate is calculated, and the absolute value of the difference is obtained as the synchronization rate deviation value. The difference between the median value of the preset synchronization rate reference 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 reference is calculated, the product of the ratio and the stability adjustment coefficient is calculated to obtain the stability contribution deduction value, and the difference between 1 and the stability contribution deduction value is calculated to obtain the stability contribution coefficient. The synchronous contribution coefficient and the stability contribution coefficient are weighted and fused to obtain the comprehensive coefficient.

10. A system for observing uneven settlement on both sides of a high-altitude corridor in a building, characterized by, The system is used to execute the method of any one of claims 1-9, and the system comprises: An observation point association system construction module: extracting historical observation data of the high-level corridor from the observation history database, performing association analysis on all observation points of the high-level corridor, and constructing an observation point association system; An observation point association system construction module: extracting historical observation data of the high-level corridor from the observation history database, performing association analysis on all observation points of the high-level corridor, and constructing an observation point association system; The observation point classification module: trend analysis is performed on the historical observation data of the observation points, observation points with to-be-adjusted observation periods are extracted according to the trend analysis results, as to-be-adjusted observation points, the to-be-adjusted observation points are compared and analyzed with the observation point correlation system, the to-be-adjusted observation points with existing correlated observation points are extracted, as linked observation points, and the to-be-adjusted observation points without existing correlated observation points are extracted, as non-linked observation points; The observation period adjustment module: differential observation period adjustment strategies are performed on the non-linked observation points and the linked observation points, including: The non-linked observation point adjustment unit: based on the non-linked observation points, the observation period execution value is calculated according to the trend analysis results, and the observation period adjustment is performed; The linked observation point adjustment unit: based on the linked observation points, the observation period execution value is calculated according to the trend analysis results in combination with the observation point correlation system, and the observation period adjustment is performed.

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