Foundation pit settlement monitoring device and method based on optical fiber sensing technology

Abstract

The invention provides a foundation pit settlement monitoring device and method based on an optical fiber sensing technology, and relates to the technical field of settlement monitoring, and the device comprises a scheme determination module which is used for determining a settlement monitoring scheme of a target foundation pit based on foundation pit parameters of the target foundation pit in combination with the optical fiber sensing technology; the monitoring processing module is used for monitoring the target foundation pit in real time based on the settlement monitoring scheme and processing the monitoring data to obtain first monitoring data; the data analysis module is used for performing data analysis based on the first monitoring data so as to obtain a settlement analysis result of the target foundation pit; and the monitoring and early warning module is used for establishing a communication early warning scheme of the target foundation pit and performing settlement early warning on the target foundation pit when the settlement analysis result reaches an early warning threshold value. The monitoring data of the target foundation pit are analyzed in real time by using different data analysis methods, so that high-precision communication early warning is performed based on the analysis result, and settlement monitoring of the target foundation pit can be more accurate and timely.

Description

Technical Field

[0001] The present invention relates to the technical field of settlement monitoring, and in particular to a foundation pit settlement monitoring device and method based on optical fiber sensing technology. Background Art

[0002] At present, foundation pit engineering is an indispensable part of civil engineering, but safety monitoring during its construction has always been a difficult and key point. Traditional foundation pit settlement monitoring methods mainly rely on traditional optical instruments such as levels and total stations, which have problems such as low accuracy, long response time, and limited monitoring range. With the development of technology, especially the popularization of fiber optic sensing technology, distributed fiber optic sensing technology has gradually been applied to foundation pit settlement monitoring due to its advantages such as high accuracy, real-time monitoring, and anti-electromagnetic interference.

[0003] However, the existing foundation pit settlement monitoring methods based on optical fiber sensing technology have problems such as insufficient monitoring accuracy and insufficient timeliness and accuracy.

[0004] Therefore, the present invention provides a foundation pit settlement monitoring device and method based on optical fiber sensing technology. Summary of the invention

[0005] The present invention provides a foundation pit settlement monitoring device and method based on optical fiber sensing technology, which are used to solve the problems of insufficient monitoring accuracy, insufficient monitoring timeliness and accuracy in the prior art.

[0006] The present invention provides a foundation pit settlement monitoring device based on optical fiber sensing technology, comprising: Scheme determination module: used to determine the settlement monitoring scheme for the target foundation pit based on the foundation pit parameters of the target foundation pit combined with optical fiber sensing technology; Monitoring and processing module: used for real-time monitoring of the target foundation pit based on the settlement monitoring scheme, and processing the monitoring data to obtain the first monitoring data; Data analysis module: used for performing data analysis based on the first monitoring data, so as to obtain the settlement analysis result of the target foundation pit; Monitoring and early warning module: used to establish a communication early warning plan for the target foundation pit. When the settlement analysis results reach the early warning threshold, a settlement early warning is issued for the target foundation pit.

[0007] The scheme determination module provided by the present invention includes: A parameter collection unit: used to collect the foundation pit parameters of the target foundation pit based on a preset sensor to obtain a first foundation pit parameter; Parameter judgment unit: used for analyzing the applicability of optical fiber sensing technology in the settlement of the foundation pit based on the first foundation pit parameter; If applicable, the corresponding initial settlement monitoring scheme is determined based on the characteristics of the optical fiber sensing technology and the first foundation pit parameters of the target foundation pit; Randomly extract the pit monitoring points of the target pit, and test the signals of the pit monitoring points based on the initial settlement monitoring plan; If the test signal strength is within the standard signal range, the initial settlement monitoring plan is used as the settlement monitoring plan for the target foundation pit; Otherwise, the initial settlement monitoring plan for the target foundation pit shall be redetermined.

[0008] The monitoring processing module provided by the present invention includes: Initial monitoring unit: used to monitor the target foundation pit in real time based on the settlement monitoring scheme and obtain the initial optical signal monitoring results; Monitoring and processing unit: used for performing signal conversion and signal processing on the optical signal of the target foundation pit based on a preset optical fiber demodulator to obtain first monitoring data of the target foundation pit; Among them, the first monitoring data includes data related to surface subsidence, data related to groundwater level, data related to horizontal displacement of the top of the retaining wall, and data related to vertical displacement of the top of the retaining wall.

[0009] The monitoring processing unit provided by the present invention includes: Monitoring transmission subunit: used for remote transmission based on the initial optical signal monitoring result, transmitting to the intelligent processing terminal to obtain a first transmission signal; The signal conversion subunit is used to perform signal conversion on the first transmission signal based on a preset optical fiber demodulator, so that the first transmission signal is converted into a first transmission electrical signal; Signal processing subunit: used for performing signal processing and signal demodulation on the first transmitted electrical signal, thereby converting the electrical signal into data related to foundation pit settlement, thereby obtaining the first monitoring data of the target foundation pit.

[0010] The data analysis module provided by the present invention includes: Data preprocessing unit: used for performing data preprocessing on the first monitoring data to obtain second monitoring data; An initial processing unit: used for determining an initial time series analysis method for performing data analysis on the second monitoring data of the target foundation pit based on the settlement monitoring characteristics of the target foundation pit; The first processing unit is used to optimize the initial time series analysis method in combination with the data type of the second monitoring data to obtain a first time series analysis method for the target foundation pit; A data derivation unit is used to extract the data form required by the first time series analysis method, and perform data processing and data derivation on the second monitoring data based on the data form to obtain third monitoring data; A first analysis unit: used for performing data analysis on the third monitoring data based on a first time series analysis method to obtain a first data analysis result of the target foundation pit; A second processing unit is used to extract a data analysis method related to the time series analysis method from the data analysis method library as a second initial data analysis method, and optimize the second initial data analysis method based on the data type of the second monitoring data to obtain a second data analysis method; A second data derivation unit: used for performing data processing and data derivation on the second monitoring data based on the data form required by the second data analysis method to obtain fourth monitoring data; A second analysis unit: used for performing data analysis on the fourth monitoring data based on a second data analysis method to obtain a second data analysis result of the target foundation pit; A weight analysis unit: used to determine the data matching degree of the first data analysis method and the second data analysis method to the second monitoring data of the target foundation pit, and determine the analysis weights of the first data analysis method and the second data analysis method based on the data matching degree; A second weight analysis unit: used to extract a data analysis method corresponding to a higher analysis weight of the first data analysis method and the second data analysis method as a first main analysis method, and to use the remaining data analysis methods as first auxiliary analysis methods; Performance analysis unit: used to determine the comprehensive analysis performance M of the first main analysis method and the first auxiliary analysis method; ; Wherein, M is the comprehensive analysis performance of the first main analysis method and the first auxiliary analysis method of the target foundation pit, n is the amount of monitoring data corresponding to the monitoring data of the first main analysis method, is the monitoring value of the i-th monitoring data at the j-th moment in the monitoring data corresponding to the first main analysis method, is the predicted value of the i-th monitoring data at the j-th moment in the monitoring data corresponding to the first main analysis method, is the monitoring value of the kth monitoring data at the jth moment in the monitoring data corresponding to the first auxiliary analysis method, is the predicted value of the kth monitoring data in the monitoring data corresponding to the first auxiliary analysis method at the jth time, is the monitoring average value of the kth monitoring data in the current monitoring period in the first auxiliary analysis method, is the impact weight of the first main analysis method, is the impact weight of the first auxiliary analysis method, is the monitoring adjustment factor of the first main analysis method, is the monitoring adjustment coefficient of the first auxiliary analysis method, m is the monitoring time of the current monitoring cycle, is the amount of monitoring data corresponding to the monitoring data of the first auxiliary analysis method; If the comprehensive analysis performance is higher than the preset minimum performance index, it is judged that the first main analysis method and the first auxiliary analysis method can meet the monitoring requirements of the target foundation pit; Analysis and synthesis unit: used for taking the data analysis result corresponding to the first main analysis method of the target foundation pit as the main analysis result and the data analysis result of the first auxiliary analysis method as the secondary analysis result, thereby comprehensively determining the comprehensive analysis result of the target foundation pit by combining the main analysis result and the secondary analysis result; Analysis conversion unit: used to obtain the settlement analysis results of the target foundation pit based on the comprehensive analysis results of the target foundation pit.

[0011] The second processing unit provided according to the present invention includes: A first extraction subunit is used to extract data analysis methods related to the time series analysis method from the data analysis method library to obtain a second method set; A second extraction subunit is used to extract the data type required by each data analysis method in the second method set to obtain a second data type set; A second initial analysis method subunit: used for comparing the data type of the second monitoring data with the data type required by each data analysis method in the second data type set, thereby extracting the data analysis method in the second data type set with the highest degree of consistency with the data type of the second monitoring data as the second initial data analysis method; The second analysis method subunit is used to optimize the second initial data analysis method based on the data type of the second monitoring data to obtain a second data analysis method.

[0012] The monitoring and early warning module provided by the present invention includes: Threshold determination unit: used to set the settlement warning threshold of the target foundation pit based on the real-time foundation pit parameters and monitoring requirements of the target foundation pit; Scheme determination unit: used for establishing a communication warning scheme for a target foundation pit based on the communication warning requirements of the target foundation pit; Settlement warning unit: used to compare the settlement analysis results with the settlement warning threshold. When a sub-result in the settlement analysis results reaches or exceeds the corresponding warning threshold, the communication warning scheme of the target foundation pit is triggered to issue a settlement warning.

[0013] The present invention provides a foundation pit settlement monitoring method based on optical fiber sensing technology, comprising: Step 1: Determine the settlement monitoring scheme for the target foundation pit based on the foundation pit parameters of the target foundation pit and the optical fiber sensing technology; Step 2: Based on the settlement monitoring scheme, real-time monitoring is performed on the target foundation pit, and the monitoring data is processed to obtain first monitoring data; Step 3: Perform data analysis based on the first monitoring data to obtain a settlement analysis result of the target foundation pit; Step 4: Establish a communication warning plan for the target foundation pit. When the settlement analysis results reach the warning threshold, issue a settlement warning for the target foundation pit.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the foundation pit settlement monitoring device and method based on optical fiber sensing technology provided by the present invention performs real-time analysis on the monitoring data of the target foundation pit by using different data analysis methods, thereby performing high-precision communication early warning based on the analysis results, which can make the settlement monitoring of the target foundation pit more accurate and timely. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 is a structural diagram of a foundation pit settlement monitoring device based on optical fiber sensing technology provided by an embodiment of the present invention; Figure 2 It is a flow chart of a foundation pit settlement monitoring method based on optical fiber sensing technology provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Embodiment 1: The embodiment of the present invention provides a foundation pit settlement monitoring device based on optical fiber sensing technology, such as Figure 1 As shown, including: Scheme determination module: used to determine the settlement monitoring scheme for the target foundation pit based on the foundation pit parameters of the target foundation pit combined with optical fiber sensing technology; Monitoring and processing module: used for real-time monitoring of the target foundation pit based on the settlement monitoring scheme, and processing the monitoring data to obtain the first monitoring data; Data analysis module: used for performing data analysis based on the first monitoring data, so as to obtain the settlement analysis result of the target foundation pit; Monitoring and early warning module: used to establish a communication early warning plan for the target foundation pit. When the settlement analysis results reach the early warning threshold, a settlement early warning is issued for the target foundation pit.

[0019] In this embodiment, the target foundation pit refers to a specific foundation pit that needs to be monitored for settlement. For example, the target foundation pit may be the foundation part of infrastructure such as buildings, bridges, tunnels, etc., or it may be a foundation pit excavated during underground projects (such as subway construction, underground pipeline laying, etc.).

[0020] In this embodiment, the foundation pit parameters refer to various technical parameters related to the target foundation pit, such as the size, shape, depth, geological conditions, groundwater level, etc. of the foundation pit.

[0021] In this embodiment, optical fiber sensing technology is a technology that uses optical fiber as a sensing element to measure various physical quantities. In foundation pit settlement monitoring, optical fiber sensing technology can monitor the settlement of foundation pits by measuring the changes in optical signals in optical fibers. It has the advantages of high sensitivity, wide measurement range, and strong anti-interference ability, and is an important technology in foundation pit settlement monitoring.

[0022] In this embodiment, the settlement monitoring plan refers to a plan and program for monitoring the settlement of the foundation pit, which is formulated based on the foundation pit parameters of the target foundation pit and the optical fiber sensing technology, including the layout of monitoring points, monitoring frequency, monitoring methods, data processing and analysis, etc.

[0023] In this embodiment, the first monitoring data refers to preliminary monitoring data obtained through data processing after real-time monitoring of the target foundation pit through a settlement monitoring solution.

[0024] In this embodiment, the settlement analysis result refers to the result obtained after in-depth analysis and processing of the first monitoring data, which includes key information such as the settlement amount, settlement rate, and settlement trend of the foundation pit.

[0025] In this embodiment, the communication warning scheme refers to the communication and alarm plan formulated to achieve settlement warning of the target foundation pit. It includes the sending method of the warning signal, the receiving personnel, the setting of the warning threshold, the alarm measures, etc. When the settlement analysis results reach the warning threshold, the communication warning scheme will automatically trigger the alarm mechanism to promptly remind relevant personnel to take countermeasures.

[0026] The beneficial effect of the above technical solution is: by using different data analysis methods to perform real-time analysis on the monitoring data of the target foundation pit, and then performing high-precision communication warning based on the analysis results, the settlement monitoring of the target foundation pit can be made more accurate and timely.

[0027] Embodiment 2: Based on Example 1, the solution determination module includes: A parameter collection unit: used to collect the foundation pit parameters of the target foundation pit based on a preset sensor to obtain a first foundation pit parameter; Parameter judgment unit: used for analyzing the applicability of optical fiber sensing technology in the settlement of the foundation pit based on the first foundation pit parameter; If applicable, the corresponding initial settlement monitoring scheme is determined based on the characteristics of the optical fiber sensing technology and the first foundation pit parameters of the target foundation pit; Randomly extract the pit monitoring points of the target pit, and test the signals of the pit monitoring points based on the initial settlement monitoring plan; If the test signal strength is within the standard signal range, the initial settlement monitoring plan is used as the settlement monitoring plan for the target foundation pit; Otherwise, the initial settlement monitoring plan for the target foundation pit shall be redetermined.

[0028] In this embodiment, the target foundation pit refers to a specific foundation pit that needs to be monitored for settlement. For example, the target foundation pit may be the foundation part of infrastructure such as buildings, bridges, tunnels, etc., or it may be a foundation pit excavated during underground projects (such as subway construction, underground pipeline laying, etc.).

[0029] In this embodiment, the first foundation pit parameter refers to various technical parameters related to the target foundation pit, such as the size, shape, depth, geological conditions, groundwater level, etc. of the foundation pit.

[0030] In this embodiment, optical fiber sensing technology is a technology that uses optical fiber as a sensing element to measure various physical quantities. In foundation pit settlement monitoring, optical fiber sensing technology can monitor the settlement of foundation pits by measuring the changes in optical signals in optical fibers. It has the advantages of high sensitivity, wide measurement range, and strong anti-interference ability, and is an important technology in foundation pit settlement monitoring.

[0031] In this embodiment, the initial settlement monitoring plan refers to a plan for monitoring the settlement of a foundation pit that is initially formulated based on the characteristics of the optical fiber sensing technology and the foundation pit parameters of the target foundation pit.

[0032] In this embodiment, the foundation pit monitoring point is a specific location or point selected in the foundation pit for settlement monitoring.

[0033] In this embodiment, the test signal strength refers to the signal strength detected by the sensor and reflecting the physical quantity of the foundation pit monitoring point.

[0034] In this embodiment, the standard signal range refers to a value within an acceptable or normal range of signal strength determined based on expert experience or signal standards.

[0035] In this embodiment, the settlement monitoring plan refers to a plan and program for monitoring the settlement of the foundation pit, which is formulated based on the foundation pit parameters of the target foundation pit and the optical fiber sensing technology, including the layout of monitoring points, monitoring frequency, monitoring methods, data processing and analysis, etc.

[0036] The beneficial effect of the above technical solution is: by determining a suitable settlement monitoring plan, the target foundation pit can be monitored, which can make the monitoring of the target foundation pit more accurate, thereby enabling more accurate data analysis, and thus high-precision communication early warning based on the analysis results, which can make the settlement monitoring of the target foundation pit more accurate and timely.

[0037] Embodiment 3: Based on Example 2, the monitoring and processing module includes: Initial monitoring unit: used to monitor the target foundation pit in real time based on the settlement monitoring scheme and obtain the initial optical signal monitoring results; Monitoring and processing unit: used for performing signal conversion and signal processing on the optical signal of the target foundation pit based on a preset optical fiber demodulator to obtain first monitoring data of the target foundation pit; Among them, the first monitoring data includes data related to surface subsidence, data related to groundwater level, data related to horizontal displacement of the top of the retaining wall, and data related to vertical displacement of the top of the retaining wall.

[0038] In this embodiment, the initial optical signal monitoring result refers to the optical signal data obtained for the first time or preliminarily when the target foundation pit is monitored in real time using the settlement monitoring solution.

[0039] In this embodiment, the preset optical fiber demodulator is a device specially used for optical fiber sensing technology, which is used to convert the optical signal collected by the optical fiber sensor into an electrical signal and perform signal processing. The optical fiber demodulator can analyze the information in the optical signal, such as phase change, intensity change, etc., so as to obtain the required monitoring data.

[0040] In this embodiment, the optical signal refers to the optical signal collected by the optical fiber sensor and reflects the settlement state of the target foundation pit. The change of the optical signal can reflect the settlement of the foundation pit.

[0041] In this embodiment, signal conversion refers to the process of converting the optical signal collected by the optical fiber sensor into an electrical signal.

[0042] In this embodiment, signal processing refers to further processing and analysis of the converted electrical signal to obtain the required monitoring data. For example, signal processing may include steps such as filtering, amplification, and digitization.

[0043] In this embodiment, the first monitoring data refers to preliminary monitoring data obtained through data processing after real-time monitoring of the target foundation pit through a settlement monitoring solution.

[0044] In this embodiment, the first monitoring data includes data related to surface settlement, data related to groundwater level, data related to horizontal displacement of the top of the retaining wall, and data related to vertical displacement of the top of the retaining wall.

[0045] The beneficial effect of the above technical solution is that by monitoring the target foundation pit and processing the monitoring results, the monitoring of the target foundation pit can be made more accurate, so that data analysis can be performed more accurately, thereby performing high-precision communication warning.

[0046] Embodiment 4: Based on Example 3, the monitoring processing unit includes: Monitoring transmission subunit: used for remote transmission based on the initial optical signal monitoring result, transmitting to the intelligent processing terminal to obtain a first transmission signal; The signal conversion subunit is used to perform signal conversion on the first transmission signal based on a preset optical fiber demodulator, so that the first transmission signal is converted into a first transmission electrical signal; Signal processing subunit: used for performing signal processing and signal demodulation on the first transmitted electrical signal, thereby converting the electrical signal into data related to foundation pit settlement, thereby obtaining the first monitoring data of the target foundation pit.

[0047] In this embodiment, the initial optical signal monitoring result refers to the initial optical signal data monitored at the target foundation pit by the optical fiber sensor, and these data reflect the settlement state or change of the foundation pit.

[0048] In this embodiment, remote transmission refers to transmitting the monitored data (here, the initial optical signal monitoring result) to a remote intelligent processing terminal via wired or wireless means. Remote transmission enables the monitoring data to be analyzed and processed at a location far away from the monitoring site.

[0049] In this embodiment, the intelligent processing terminal refers to a device or system with data processing and analysis capabilities, which can receive, store, process and analyze the transmitted monitoring data. The intelligent processing terminal receives the initial optical signal monitoring result and prepares for further processing.

[0050] In this embodiment, the first transmission signal refers to the signal form of the initial optical signal monitoring result that reaches the intelligent processing terminal after remote transmission. Due to signal attenuation, interference and other problems that may exist during the transmission process, the first transmission signal may be different from the initial optical signal monitoring result.

[0051] In this embodiment, the preset optical fiber demodulator is a device specially used for optical fiber sensing technology, which is used to convert the optical signal collected by the optical fiber sensor into an electrical signal. The preset optical fiber demodulator is used to convert the first transmission signal into an electrical signal.

[0052] In this embodiment, the first transmission electrical signal refers to an electrical signal corresponding to the first transmission signal obtained after conversion by a preset optical fiber demodulator. The first transmission electrical signal is the basis for subsequent signal processing and demodulation.

[0053] In this embodiment, signal processing refers to filtering, amplifying, digitizing, and other processing of electrical signals to improve signal quality and readability. Signal processing helps eliminate noise, improve the signal-to-noise ratio of the signal, and provide accurate input for subsequent signal demodulation.

[0054] In this embodiment, signal demodulation refers to converting the processed electrical signal into data related to foundation pit settlement. During the signal demodulation process, the information in the electrical signal is parsed out and converted into numerical values ​​or parameters that can be directly used to evaluate the state of foundation pit settlement.

[0055] The beneficial effect of the above technical solution is that by monitoring the target foundation pit and processing the monitoring results, the monitoring of the target foundation pit can be made more accurate, so that data analysis can be performed more accurately, thereby performing high-precision communication warning.

[0056] Embodiment 5: Based on Example 3, the data analysis module includes: Data preprocessing unit: used for performing data preprocessing on the first monitoring data to obtain second monitoring data; An initial processing unit: used for determining an initial time series analysis method for performing data analysis on the second monitoring data of the target foundation pit based on the settlement monitoring characteristics of the target foundation pit; The first processing unit is used to optimize the initial time series analysis method in combination with the data type of the second monitoring data to obtain a first time series analysis method for the target foundation pit; A data derivation unit is used to extract the data form required by the first time series analysis method, and perform data processing and data derivation on the second monitoring data based on the data form to obtain third monitoring data; A first analysis unit: used for performing data analysis on the third monitoring data based on a first time series analysis method to obtain a first data analysis result of the target foundation pit; A second processing unit is used to extract a data analysis method related to the time series analysis method from the data analysis method library as a second initial data analysis method, and optimize the second initial data analysis method based on the data type of the second monitoring data to obtain a second data analysis method; A second data derivation unit: used for performing data processing and data derivation on the second monitoring data based on the data form required by the second data analysis method to obtain fourth monitoring data; A second analysis unit: used for performing data analysis on the fourth monitoring data based on a second data analysis method to obtain a second data analysis result of the target foundation pit; A weight analysis unit: used to determine the data matching degree of the first data analysis method and the second data analysis method to the second monitoring data of the target foundation pit, and determine the analysis weights of the first data analysis method and the second data analysis method based on the data matching degree; A second weight analysis unit: used to extract a data analysis method corresponding to a higher analysis weight of the first data analysis method and the second data analysis method as a first main analysis method, and to use the remaining data analysis methods as first auxiliary analysis methods; Performance analysis unit: used to determine the comprehensive analysis performance M of the first main analysis method and the first auxiliary analysis method; ; Wherein, M is the comprehensive analysis performance of the first main analysis method and the first auxiliary analysis method of the target foundation pit, n is the amount of monitoring data corresponding to the monitoring data of the first main analysis method, is the monitoring value of the i-th monitoring data at the j-th moment in the monitoring data corresponding to the first main analysis method, is the predicted value of the i-th monitoring data at the j-th moment in the monitoring data corresponding to the first main analysis method, is the monitoring value of the kth monitoring data at the jth moment in the monitoring data corresponding to the first auxiliary analysis method, is the predicted value of the kth monitoring data in the monitoring data corresponding to the first auxiliary analysis method at the jth time, is the monitoring average value of the kth monitoring data in the current monitoring period in the first auxiliary analysis method, is the impact weight of the first main analysis method, is the impact weight of the first auxiliary analysis method, is the monitoring adjustment factor of the first main analysis method, is the monitoring adjustment coefficient of the first auxiliary analysis method, m is the monitoring time of the current monitoring cycle, is the amount of monitoring data corresponding to the monitoring data of the first auxiliary analysis method; If the comprehensive analysis performance is higher than the preset minimum performance index, it is judged that the first main analysis method and the first auxiliary analysis method can meet the monitoring requirements of the target foundation pit; Analysis and synthesis unit: used for taking the data analysis result corresponding to the first main analysis method of the target foundation pit as the main analysis result and the data analysis result of the first auxiliary analysis method as the secondary analysis result, thereby comprehensively determining the comprehensive analysis result of the target foundation pit by combining the main analysis result and the secondary analysis result; Analysis conversion unit: used to obtain the settlement analysis results of the target foundation pit based on the comprehensive analysis results of the target foundation pit.

[0057] In this embodiment, data preprocessing refers to cleaning, converting, normalizing, and other operations on the first monitoring data to eliminate noise, fill missing values, unify data formats, and so on, thereby obtaining the second monitoring data.

[0058] In this embodiment, the settlement monitoring characteristics refer to specific properties or laws exhibited by the target foundation pit during the settlement process, such as settlement velocity, settlement amount, etc.

[0059] In this embodiment, the initial time series analysis method is a time series analysis method preliminarily selected based on the settlement monitoring characteristics of the target foundation pit.

[0060] In this embodiment, the data type refers to the specific form of the second monitoring data, such as a numerical type, a time series type, etc.

[0061] In this embodiment, the first time series analysis method is a method obtained by optimizing the initial time series analysis method in combination with the data type of the second monitoring data.

[0062] In this embodiment, the data form refers to a data structure or format required to satisfy a specific analysis method. For example, some methods may need to convert data into a specific time series format.

[0063] In this embodiment, the third monitoring data is data obtained by further processing and data derivation of the second monitoring data according to the data format required by the first time series analysis method. The data derivation may include calculating new indicators, generating new time series, etc.

[0064] In this embodiment, the first data analysis result is a result obtained after performing data analysis on the third monitoring data based on the first time series analysis method, for example, it may include a settlement trend, anomalies, etc.

[0065] In this embodiment, the data analysis method library is a library containing various data analysis methods, and these methods can be used for different data analysis tasks.

[0066] In this embodiment, the second initial data analysis method is extracted from the data analysis method library and is a data analysis method related to the time series analysis method. The second initial data analysis method may be another time series analysis method or a supplementary method for further analyzing time series data.

[0067] In this embodiment, the second data analysis method is a method obtained by optimizing the second initial data analysis method based on the data type of the second monitoring data. This method is more suitable for analyzing the settlement data of the target foundation pit and may complement the first time series analysis method.

[0068] In this embodiment, the fourth monitoring data refers to data obtained by further processing and deriving the second monitoring data according to the data format required by the second data analysis method.

[0069] In this embodiment, the second data analysis result is a result obtained after performing data analysis on the fourth monitoring data based on the second data analysis method.

[0070] In this embodiment, the second data analysis result and the first data analysis result may have overlapping results or conflicting results.

[0071] In this embodiment, the data matching degree refers to the degree of fit between the data analysis method and the monitoring data, that is, whether the data analysis method can accurately and effectively analyze the monitoring data.

[0072] In this embodiment, the analysis weight is used to assign importance to different data analysis methods, and is usually determined based on the degree of data matching.

[0073] In this embodiment, the first main analysis method refers to using the method with the highest analysis weight among multiple data analysis methods as the main analysis means.

[0074] In this embodiment, the first auxiliary analysis method refers to using other data analysis methods other than the first main analysis method as auxiliary analysis means.

[0075] In this embodiment, the primary analysis result is obtained after the first primary analysis method analyzes the corresponding data, and the secondary analysis result is obtained after the first auxiliary analysis method analyzes the corresponding data.

[0076] In this embodiment, the comprehensive analysis result is based on the first data analysis result and the second data analysis result, and comprehensively considers multiple aspects to obtain a comprehensive assessment of the settlement of the target foundation pit.

[0077] In this embodiment, the settlement analysis result refers to the result obtained after in-depth analysis and processing of the first monitoring data, which includes key information such as the settlement amount, settlement rate, and settlement trend of the foundation pit.

[0078] The beneficial effect of the above technical solution is: by using different data analysis methods to perform real-time analysis on the monitoring data of the target foundation pit, and then performing high-precision communication warning based on the analysis results, the settlement monitoring of the target foundation pit can be made more accurate and timely.

[0079] Embodiment 6: Based on Embodiment 5, the second processing unit includes: A first extraction subunit is used to extract data analysis methods related to the time series analysis method from the data analysis method library to obtain a second method set; A second extraction subunit is used to extract the data type required by each data analysis method in the second method set to obtain a second data type set; A second initial analysis method subunit: used for comparing the data type of the second monitoring data with the data type required by each data analysis method in the second data type set, thereby extracting the data analysis method in the second data type set with the highest degree of consistency with the data type of the second monitoring data as the second initial data analysis method; The second analysis method subunit is used to optimize the second initial data analysis method based on the data type of the second monitoring data to obtain a second data analysis method.

[0080] In this embodiment, the data analysis method library is a collection or database that stores a variety of data analysis methods. The data analysis methods can be used to process and analyze different types of data to extract useful information or make decisions.

[0081] In this embodiment, the time series analysis method is a statistical method specifically used to analyze time series data (ie, data arranged in chronological order). Time series analysis can identify characteristics such as trends, seasonal changes, and periodicity in the data.

[0082] In this embodiment, the second method set is a set of data analysis methods related to time series analysis methods extracted from a data analysis method library.

[0083] In this embodiment, the data types include numeric type, character type, date type, time series type, etc. The data type determines the applicability of the data analysis method.

[0084] In this embodiment, the second data type set refers to a set of data types required by each data analysis method extracted from the second method set, which is used to compare with the data types of the monitoring data to determine which methods are applicable to the current data.

[0085] In this embodiment, the second monitoring data refers to the monitoring data after preprocessing or conversion, which will be used for subsequent data analysis.

[0086] In this embodiment, the degree of fit refers to the consistency or matching degree between two things. Here, the degree of fit refers to the consistency between the data type of the monitoring data and the data type required by the data analysis method.

[0087] In this embodiment, the second initial data analysis method is extracted from the data analysis method library and is a data analysis method related to the time series analysis method. The second initial data analysis method may be another time series analysis method or a supplementary method for further analyzing time series data.

[0088] In this embodiment, the second data analysis method is a method obtained by optimizing the second initial data analysis method based on the data type of the second monitoring data. This method is more suitable for analyzing the settlement data of the target foundation pit and may complement the first time series analysis method.

[0089] The beneficial effect of the above technical solution is: by using different data analysis methods to perform real-time analysis on the monitoring data of the target foundation pit, and then performing high-precision communication warning based on the analysis results, the settlement monitoring of the target foundation pit can be made more accurate and timely.

[0090] Embodiment 7: Based on Example 5, the monitoring and early warning module includes: Threshold determination unit: used to set the settlement warning threshold of the target foundation pit based on the real-time foundation pit parameters and monitoring requirements of the target foundation pit; Scheme determination unit: used for establishing a communication warning scheme for a target foundation pit based on the communication warning requirements of the target foundation pit; Settlement warning unit: used to compare the settlement analysis results with the settlement warning threshold. When a sub-result in the settlement analysis results reaches or exceeds the corresponding warning threshold, the communication warning scheme of the target foundation pit is triggered to issue a settlement warning.

[0091] In this embodiment, the monitoring requirements are specific requirements for the foundation pit monitoring work, including monitoring frequency, monitoring accuracy, monitoring content, etc. These requirements are usually determined based on factors such as the scale, importance, and geological conditions of the foundation pit.

[0092] In this embodiment, the settlement warning threshold is one or more thresholds set based on the real-time foundation pit parameters and monitoring requirements of the target foundation pit to determine whether the foundation pit settlement has reached a dangerous level. When the settlement analysis results reach or exceed these thresholds, the warning mechanism will be triggered.

[0093] In this embodiment, the communication warning demand refers to the demand for communication methods and communication content during the foundation pit settlement warning process, including the sending method of the warning information (such as SMS, phone, email, etc.), the recipient (such as project manager, supervisor, construction personnel, etc.) and the specific content of the warning information.

[0094] In this embodiment, the communication warning scheme refers to the communication and alarm plan formulated to achieve settlement warning of the target foundation pit. It includes the sending method of the warning signal, the receiving personnel, the setting of the warning threshold, the alarm measures, etc. When the settlement analysis results reach the warning threshold, the communication warning scheme will automatically trigger the alarm mechanism to promptly remind relevant personnel to take countermeasures.

[0095] The beneficial effect of the above technical solution is that by determining the settlement warning threshold and determining the communication warning scheme, the target foundation pit can be monitored and warned in a timely and accurate manner, thereby making the settlement monitoring of the target foundation pit more accurate and timely.

[0096] Embodiment 8: The embodiment of the present invention provides a foundation pit settlement monitoring method based on optical fiber sensing technology, such as Figure 2 As shown, including: Step 1: Determine the settlement monitoring scheme for the target foundation pit based on the foundation pit parameters of the target foundation pit and the optical fiber sensing technology; Step 2: Based on the settlement monitoring scheme, real-time monitoring is performed on the target foundation pit, and the monitoring data is processed to obtain first monitoring data; Step 3: Perform data analysis based on the first monitoring data to obtain a settlement analysis result of the target foundation pit; Step 4: Establish a communication warning plan for the target foundation pit. When the settlement analysis results reach the warning threshold, issue a settlement warning for the target foundation pit.

[0097] The beneficial effect of the above technical solution is: by using different data analysis methods to perform real-time analysis on the monitoring data of the target foundation pit, and then performing high-precision communication warning based on the analysis results, the settlement monitoring of the target foundation pit can be made more accurate and timely.

[0098] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. The foundation pit settlement monitoring device based on optical fiber sensing technology is characterized by: include: Scheme determination module: used to determine the settlement monitoring scheme for the target foundation pit based on the foundation pit parameters of the target foundation pit combined with optical fiber sensing technology; Monitoring and processing module: used for real-time monitoring of the target foundation pit based on the settlement monitoring scheme, and processing the monitoring data to obtain the first monitoring data; Data analysis module: used for performing data analysis based on the first monitoring data, so as to obtain the settlement analysis result of the target foundation pit; Monitoring and early warning module: used to establish a communication early warning plan for the target foundation pit. When the settlement analysis results reach the early warning threshold, a settlement early warning is issued for the target foundation pit.

2. The foundation pit settlement monitoring device based on optical fiber sensing technology according to claim 1 is characterized in that: Solution determination module, including: A parameter collection unit: used to collect the foundation pit parameters of the target foundation pit based on a preset sensor to obtain a first foundation pit parameter; Parameter judgment unit: used for analyzing the applicability of optical fiber sensing technology in the settlement of the foundation pit based on the first foundation pit parameter; If applicable, the corresponding initial settlement monitoring scheme is determined based on the characteristics of the optical fiber sensing technology and the first foundation pit parameters of the target foundation pit; Randomly extract the pit monitoring points of the target pit, and test the signals of the pit monitoring points based on the initial settlement monitoring plan; If the test signal strength is within the standard signal range, the initial settlement monitoring plan is used as the settlement monitoring plan for the target foundation pit; Otherwise, the initial settlement monitoring plan for the target foundation pit shall be redetermined.

3. The foundation pit settlement monitoring device based on optical fiber sensing technology according to claim 2 is characterized in that: Monitoring and processing module, including: Initial monitoring unit: used to monitor the target foundation pit in real time based on the settlement monitoring scheme and obtain the initial optical signal monitoring results; Monitoring and processing unit: used for performing signal conversion and signal processing on the optical signal of the target foundation pit based on a preset optical fiber demodulator to obtain first monitoring data of the target foundation pit; Among them, the first monitoring data includes data related to surface subsidence, data related to groundwater level, data related to horizontal displacement of the top of the retaining wall, and data related to vertical displacement of the top of the retaining wall.

4. The foundation pit settlement monitoring device based on optical fiber sensing technology according to claim 3 is characterized in that: Monitoring and processing unit, including: Monitoring transmission subunit: used for remote transmission based on the initial optical signal monitoring result, transmitting to the intelligent processing terminal to obtain a first transmission signal; The signal conversion subunit is used to perform signal conversion on the first transmission signal based on a preset optical fiber demodulator, so that the first transmission signal is converted into a first transmission electrical signal; Signal processing subunit: used for performing signal processing and signal demodulation on the first transmitted electrical signal, thereby converting the electrical signal into data related to foundation pit settlement, thereby obtaining the first monitoring data of the target foundation pit.

5. The foundation pit settlement monitoring device based on optical fiber sensing technology according to claim 3 is characterized in that: Data analysis modules, including: Data preprocessing unit: used for performing data preprocessing on the first monitoring data to obtain second monitoring data; An initial processing unit: used for determining an initial time series analysis method for performing data analysis on the second monitoring data of the target foundation pit based on the settlement monitoring characteristics of the target foundation pit; The first processing unit is used to optimize the initial time series analysis method in combination with the data type of the second monitoring data to obtain a first time series analysis method for the target foundation pit; A data derivation unit is used to extract the data form required by the first time series analysis method, and perform data processing and data derivation on the second monitoring data based on the data form to obtain third monitoring data; A first analysis unit: used for performing data analysis on the third monitoring data based on a first time series analysis method to obtain a first data analysis result of the target foundation pit; A second processing unit is used to extract a data analysis method related to the time series analysis method from the data analysis method library as a second initial data analysis method, and optimize the second initial data analysis method based on the data type of the second monitoring data to obtain a second data analysis method; A second data derivation unit: used for performing data processing and data derivation on the second monitoring data based on the data form required by the second data analysis method to obtain fourth monitoring data; A second analysis unit: used for performing data analysis on the fourth monitoring data based on a second data analysis method to obtain a second data analysis result of the target foundation pit; A weight analysis unit: used to determine the data matching degree of the first data analysis method and the second data analysis method to the second monitoring data of the target foundation pit, and determine the analysis weights of the first data analysis method and the second data analysis method based on the data matching degree; A second weight analysis unit: used to extract a data analysis method corresponding to a higher analysis weight of the first data analysis method and the second data analysis method as a first main analysis method, and to use the remaining data analysis methods as first auxiliary analysis methods; Performance analysis unit: used to determine the comprehensive analysis performance M of the first main analysis method and the first auxiliary analysis method; ; Wherein, M is the comprehensive analysis performance of the first main analysis method and the first auxiliary analysis method of the target foundation pit, n is the amount of monitoring data corresponding to the monitoring data of the first main analysis method, is the monitoring value of the i-th monitoring data at the j-th moment in the monitoring data corresponding to the first main analysis method, is the predicted value of the i-th monitoring data at the j-th moment in the monitoring data corresponding to the first main analysis method, is the monitoring value of the kth monitoring data at the jth moment in the monitoring data corresponding to the first auxiliary analysis method, is the predicted value of the kth monitoring data in the monitoring data corresponding to the first auxiliary analysis method at the jth time, is the monitoring average value of the kth monitoring data in the current monitoring period in the first auxiliary analysis method, is the impact weight of the first main analysis method, is the impact weight of the first auxiliary analysis method, is the monitoring adjustment factor of the first main analysis method, is the monitoring adjustment coefficient of the first auxiliary analysis method, m is the monitoring time of the current monitoring cycle, is the amount of monitoring data corresponding to the monitoring data of the first auxiliary analysis method; If the comprehensive analysis performance is higher than the preset minimum performance index, it is judged that the first main analysis method and the first auxiliary analysis method can meet the monitoring requirements of the target foundation pit; Analysis and synthesis unit: used for taking the data analysis result corresponding to the first main analysis method of the target foundation pit as the main analysis result and the data analysis result of the first auxiliary analysis method as the secondary analysis result, thereby comprehensively determining the comprehensive analysis result of the target foundation pit by combining the main analysis result and the secondary analysis result; Analysis conversion unit: used to obtain the settlement analysis results of the target foundation pit based on the comprehensive analysis results of the target foundation pit.

6. The foundation pit settlement monitoring device based on optical fiber sensing technology according to claim 5 is characterized in that: The second processing unit comprises: A first extraction subunit is used to extract data analysis methods related to the time series analysis method from the data analysis method library to obtain a second method set; A second extraction subunit is used to extract the data type required by each data analysis method in the second method set to obtain a second data type set; A second initial analysis method subunit: used for comparing the data type of the second monitoring data with the data type required by each data analysis method in the second data type set, thereby extracting the data analysis method in the second data type set with the highest degree of consistency with the data type of the second monitoring data as the second initial data analysis method; The second analysis method subunit is used to optimize the second initial data analysis method based on the data type of the second monitoring data to obtain a second data analysis method.

7. The foundation pit settlement monitoring device based on optical fiber sensing technology according to claim 5 is characterized in that: Monitoring and early warning module, including: Threshold determination unit: used to set the settlement warning threshold of the target foundation pit based on the real-time foundation pit parameters and monitoring requirements of the target foundation pit; Scheme determination unit: used for establishing a communication warning scheme for a target foundation pit based on the communication warning requirements of the target foundation pit; Settlement warning unit: used to compare the settlement analysis results with the settlement warning threshold. When a sub-result in the settlement analysis results reaches or exceeds the corresponding warning threshold, the communication warning scheme of the target foundation pit is triggered to issue a settlement warning.

8. The foundation pit settlement monitoring method based on optical fiber sensing technology is characterized by: include: Step 1: Determine the settlement monitoring scheme for the target foundation pit based on the foundation pit parameters of the target foundation pit and the optical fiber sensing technology; Step 2: Based on the settlement monitoring scheme, real-time monitoring is performed on the target foundation pit, and the monitoring data is processed to obtain first monitoring data; Step 3: Perform data analysis based on the first monitoring data to obtain a settlement analysis result of the target foundation pit; Step 4: Establish a communication warning plan for the target foundation pit. When the settlement analysis results reach the warning threshold, issue a settlement warning for the target foundation pit.

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