A method and system for monitoring sedimentation of engineering fill silt solidification particles
By calculating indicators such as settlement differential series and asynchrony, the problem of inaccurate monitoring caused by pore heterogeneity during the backfilling of silt solidification particles was solved, and the accuracy of settlement monitoring and engineering safety were achieved.
Patent Information
- Application Number
- CN202510968760.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-15
- Publication Date
- 2025-09-30
- Estimated Expiration
- 2045-07-15
AI Technical Summary
Traditional settlement monitoring methods fail to effectively consider the pore heterogeneity during the silt solidification particle backfill process, resulting in the settlement change rate not conforming to the normal law, affecting the monitoring accuracy.
By collecting settlement data, calculating settlement differential series and indicators such as asynchrony, development anomaly, and coordinated anomaly, the settlement change pattern is identified and curve fitting is performed to obtain monitoring results.
The accuracy of monitoring the sedimentation of silt solidification particles has been improved, and uneven sedimentation or local anomalies can be discovered in a timely manner, ensuring the stability and safety of engineering construction.
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Abstract
Description
Technical Field
[0001] The present application relates to the field of settlement observation technology, and in particular to a method and system for monitoring the settlement of engineering fill silt solidification particles. Background Art
[0002] Silt granules are an innovative engineering fill material. Made by mixing silt with a specialized solidifying agent, they not only maximize silt's resource utilization but also adhere to environmental protection principles. Traditional silt treatment methods often pose challenges such as land occupation and environmental pollution. Silt granules effectively address these issues. They significantly reduce the environmental impact of silt treatment, minimizing odor and leachate pollution while also avoiding the accumulation of large amounts of silt that consumes land resources. Furthermore, using silt granules for backfill replaces traditional fill materials, reducing the exploitation of natural soil and rock resources, significantly improving resource utilization, and providing strong support for sustainable development. After backfilling, accurate monitoring of the sedimentation of silt granules is essential. Regularly measuring sedimentation data can identify potential uneven settlement issues, allowing effective adjustments to be made, ensuring the stability and reliability of subsequent construction and safeguarding project safety.
[0003] Traditional techniques for monitoring settlement in subsidence areas typically use curve fitting to fit settlement data to a monitoring curve. The error between the monitoring curve and the real-time settlement is then used to monitor the settlement area. However, because silt-solidified particles are used to solidify the silt area using a backfill method, the backfill process can lead to uneven porosity between the backfill materials. Existing techniques fail to fully account for this porosity heterogeneity, resulting in the rate of change in the early stages of settlement not conforming to normal settlement patterns. This results in poor monitoring curve fitting using early-stage data, impacting the accuracy of silt-solidified particle settlement monitoring. Summary of the Invention
[0004] In view of the above, it is necessary to provide a method and system for monitoring the sedimentation of engineering fill silt solidification particles to solve the above problems.
[0005] The first aspect of the present application provides a method for monitoring the sedimentation of engineering fill silt solidification particles, the method comprising:
[0006] Collect the sedimentation amount of each sampling point at all times in the preset time period to form a solidified particle sedimentation sequence;
[0007] The first-order difference sequence of the solidified particle sedimentation sequence at each sampling point is recorded as the sedimentation difference sequence. Based on the numerical distribution characteristics of the elements at the same position in all sedimentation difference sequences at the corresponding time, the sedimentation reference value is determined. The difference distribution characteristics between the elements at each moment in the sedimentation difference sequence and the sedimentation reference value are analyzed to obtain the sedimentation asynchrony at each moment.
[0008] Based on the differences between all adjacent elements after each element in the sedimentation differential sequence of each sampling point, the sedimentation development heterogeneity at each sampling point at each moment is confirmed;
[0009] According to the numerical distribution of the settlement development heterogeneity of all sampling points at each moment, combined with the settlement asynchrony, the settlement cooperative heterogeneity at each moment is determined;
[0010] The trend characteristics and discrete characteristics of the cooperative heterogeneity of the settlement at each moment and all subsequent moments are used to obtain the later homomorphic difference of each moment, and to confirm the different moments of the change of the settlement law;
[0011] Curve fitting is performed on the sedimentation amount at the moment when the sedimentation law changes at each sampling point and at all subsequent moments. Based on the difference between the curve fitting value and the actual measured value, the solidified particle sedimentation monitoring result is obtained.
[0012] The confirmed settlement reference value is specifically:
[0013] Extract the elements at the same position in all sedimentation difference series to form a sedimentation rate set at the corresponding moment;
[0014] The sedimentation rate set is evenly divided into a preset number of intervals according to the numerical range, and the element mean of the interval with the largest number of elements is obtained as the sedimentation benchmark value.
[0015] The asynchrony of the settlement at each moment is obtained as follows:
[0016] For the sedimentation rate set at each moment, the difference between each element and the corresponding sedimentation reference value is calculated, and the differences corresponding to all elements are summed to obtain the sedimentation asynchrony at each moment.
[0017] The confirmation of the sedimentation development heterogeneity at each sampling point at each moment is specifically as follows:
[0018] For the sedimentation difference sequence of each sampling point, the difference between each element and the next element is obtained. When the difference is greater than or equal to 0, 0 is regarded as the abnormal difference at the corresponding moment of each element.
[0019] Otherwise, the opposite of the difference is taken as the abnormal difference of each element at the corresponding moment; the abnormal differences of each element in the settlement difference sequence and all subsequent elements at the corresponding moments are added together to obtain the settlement development heterogeneity at each sampling point at each moment.
[0020] The confirmation of the sedimentation coordination heterogeneity at each moment is specifically as follows:
[0021] The extreme difference values of the settlement development heterogeneity of all sampling points at each moment are calculated, and the result of forward fusion of the extreme difference values of the settlement development heterogeneity and the settlement asynchrony at the corresponding moment is taken as the settlement cooperative heterogeneity at each moment.
[0022] The later homomorphic difference degree at each moment is obtained as follows:
[0023] Perform a straight line fitting on the sedimentation synergistic heterogeneity from each moment to the last moment; obtain the degree of discreteness of the sedimentation synergistic heterogeneity from each moment to the last moment; and take the product of the absolute value of the slope of the fitting line and the degree of discreteness as the late homomorphic difference degree at each moment.
[0024] The moment of differentiation of the change of the sedimentation law is specifically the moment when the difference of the later homomorphism is the smallest.
[0025] Wherein, the monitoring result of solidified particle sedimentation is obtained, including:
[0026] For each sampling point, the value on the fitting curve at each monitoring moment is recorded as the trend settlement; when the error between the trend settlement and the actual measured settlement is less than or equal to the preset value, there is no abnormality in the monitoring; otherwise, there is an abnormality in the monitoring.
[0027] Among them, when an abnormality occurs in the monitoring, the settlement of the abnormal sampling point is re-measured. When the monitoring result of the re-measured settlement is normal, the measurement data with the previous abnormality is replaced; when the monitoring result is still abnormal, it is judged that the settlement of the sampling point is in an abnormal state.
[0028] In the second aspect, an embodiment of the present application also provides an engineering fill sludge solidification particle sedimentation monitoring system, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above-mentioned methods when executing the computer program.
[0029] This application has at least the following beneficial effects:
[0030] 1. This application analyzes the collected sedimentation volume and first confirms the sedimentation baseline value based on the distribution characteristics of the sedimentation rate at the same time of all sampling points, effectively avoiding the monitoring inaccuracy problem caused by the poor fitting effect of the early data of the traditional method; by accurately calculating the sedimentation asynchrony and sedimentation development heterogeneity, it can accurately identify the sedimentation change law of each sampling point, thereby significantly improving the accuracy of silt solidification particle sedimentation monitoring, providing a reliable data basis for subsequent analysis, and ensuring the credibility of the monitoring results.
[0031] 2. Based on indicators such as asynchrony of settlement, heterogeneity of settlement development, and heterogeneity of settlement coordination, this application can accurately identify abnormal changes in the sedimentation process of silt solidification particles and promptly detect potential uneven settlement or local anomalies. By calculating the moments of change in settlement patterns and further identifying turning points in settlement trends, this provides early warnings for construction stability, helping construction personnel take preemptive adjustments, avoiding potential safety hazards caused by settlement issues, and ensuring the smooth progress of the project. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 A flowchart of a method for monitoring sedimentation of solidified silt particles in engineering fill provided in one embodiment of the present application;
[0033] Figure 2 A schematic diagram of data collection provided for one embodiment of the present application;
[0034] Figure 3 A flowchart for obtaining the moments of sedimentation law change provided in one embodiment of the present application. DETAILED DESCRIPTION
[0035] In the description of the embodiments of this application, words such as "exemplary," "or," and "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "or," and "for example" is intended to present the relevant concepts in a concrete manner.
[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the art of this application. The terms used in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application.
[0037] It should also be noted that the terms "first" and "second" in this application and the accompanying drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. The methods disclosed in the embodiments of this application or the methods shown in the flowcharts include one or more steps for implementing the methods. Without departing from the scope of protection of this application, the order of executing multiple steps can be interchanged with each other, and some steps can also be deleted.
[0038] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
[0039] The following describes in detail a method and system for monitoring the sedimentation of engineering fill silt solidification particles provided by the present application with reference to the accompanying drawings.
[0040] See also Figure 1 , which shows a flowchart of a method for monitoring the sedimentation of engineering fill silt solidification particles provided by an embodiment of the present application, the method comprising the following steps:
[0041] The first step is to collect the sedimentation amount of each sampling point at all times in the preset time period to form a solidified particle sedimentation sequence.
[0042] For the silt area of the project, the silt is mixed with a silt solidifier through a granulator and granulated. The silt solidified particles are solidified for three days and then backfilled into the silt area. N sampling points are evenly selected in the backfilled area, and a laser receiver is installed. A measuring rod is installed 5m outside the silt area, and a laser transmitter is installed 2m above the measuring rod. The laser transmitter emits a laser to the laser receiver to obtain the distance from the laser transmitter to the laser receiver. The angle between the laser emission direction and the measuring rod is then measured. The measured angle and triangle theorem are used to obtain the vertical distance from the laser receiver to the laser transmitter. The vertical distance is subtracted from the installation height of the laser transmitter to obtain the settlement amount of the sampling point. In this embodiment, N is 9; the sampling time interval is 30 minutes, and the total sampling time is 7 days. The collected data is arranged in time sequence to obtain a solidified particle settlement sequence. At this point, each sampling point obtains a solidified particle settlement sequence.
[0043] The data collection diagram is as follows: Figure 2 shown.
[0044] The second step is to record the first-order difference sequence of the solidified particle sedimentation sequence of all sampling points as the sedimentation difference sequence. Based on the numerical distribution characteristics of the elements at the same position in all sedimentation difference sequences at the corresponding moments, the sedimentation reference value is confirmed. The difference distribution characteristics between the elements corresponding to each moment in the sedimentation difference sequence and the sedimentation reference value are analyzed to obtain the sedimentation asynchrony at each moment.
[0045] When using silt-solidified particles to backfill a silt area, the presence of pores in the backfill material causes the material to shrink under long-term pressure, resulting in settlement in the backfilled silt area. However, because the pore size of each part of the backfill material is not fixed, the settlement amount at each sampling point will vary in the initial stage. Over time, the large pores may gradually be compressed or filled, and the pore structure will stabilize. At this point, the pore size and distribution of each sampling point will gradually become consistent, and the settlement rate will tend to be the same or similar.
[0046] When the difference in sedimentation rates between different areas at the same moment is greater, it means that the larger pores in each sampling point at that moment are being filled rapidly, and the change in the sedimentation amount of the silt area at that moment is large and the regularity is low. Therefore, the solidified particle sedimentation sequence of each sampling point is subjected to first-order difference to obtain the first-order difference sequence of each solidified particle sedimentation sequence, which is recorded as the sedimentation difference sequence, which is used to indicate the sedimentation rate of each sampling point at each moment except the last moment; then, the elements at the same position in all sedimentation difference sequences are extracted to form a sedimentation rate set, which is used to characterize the sedimentation changes of all sampling points at each moment except the last moment. Among them, the calculation of the first-order difference method is a well-known technology, and the specific calculation steps will not be repeated here.
[0047] Since large pores may be gradually compressed or filled over time, the sedimentation rates of each sampling point tend to be consistent. When the data is disturbed, some data may deviate from the normal range, thereby affecting the accurate assessment of the overall sedimentation process. Therefore, the sedimentation rate set is evenly divided into a preset number of intervals according to the numerical range from the minimum to the maximum value, and the interval with the most elements is obtained, and the element mean of the interval is obtained as the sedimentation reference value, which is used to measure the mainstream trend of the sedimentation rate of each sampling point. In this application, the preset number is 3, and the implementer can choose it according to the actual situation.
[0048] For each moment of the sedimentation rate set, the difference between each element and the corresponding sedimentation reference value is calculated, and the differences corresponding to all elements are summed to obtain the sedimentation asynchrony at each moment. In this embodiment, the difference between variables is calculated using the absolute value of the difference.
[0049] It should be understood that the greater the value of sedimentation asynchrony at each moment, the greater the difference in sedimentation rates between different areas at that moment. This large difference in sedimentation rates means that the sedimentation rates of each area are inconsistent with the overall rate behavior, resulting in a decrease in the uniformity of the overall sedimentation process, thereby increasing the possibility of localized uneven or differential sedimentation. Therefore, a large sedimentation asynchrony directly reflects the large differences in sedimentation changes between different sampling areas in the silt area at that moment, which can easily lead to inaccurate sedimentation monitoring.
[0050] The third step: based on the differences between all adjacent elements after the corresponding moment of each element in the sedimentation differential sequence of each sampling point, confirm the sedimentation development heterogeneity of each sampling point at each moment.
[0051] After the macropores are filled with solidified particles and other fillers, the sedimentation rates at each sampling point in the silt area gradually converge. As the sedimentation process continues, the sedimentation rate of the entire sampling point also decreases. This conforms to the normal law of consolidation settlement, that is, the sedimentation rate is fast in the initial stage, gradually slows over time, and eventually approaches zero. When the sedimentation rate of a sampling point does not conform to this change pattern, it indicates that there is an abnormality in the corresponding area of the sampling point, such as localized uneven filling. Abnormal sedimentation rates may lead to engineering safety hazards, such as uneven structural settlement and foundation instability. Therefore, the heterogeneity of settlement development at each sampling point and at each moment is calculated.
[0052] For each sampling point's sedimentation difference sequence, the difference between each element and the next is obtained. When the difference is greater than or equal to 0, 0 is used as the abnormal difference at the corresponding moment of each element; otherwise, the inverse of the difference is used as the abnormal difference at the corresponding moment of each element. The abnormal differences at the corresponding moments of each element and all subsequent elements in the sedimentation difference sequence are summed to obtain the sedimentation development heterogeneity at each sampling point and at each moment. It should be noted that each sedimentation difference sequence corresponds to a sampling point, and each element in the sequence corresponds to a moment.
[0053] It should be understood that the larger the value of the settlement development anomaly at a sampling point, the more irregular the settlement change at that sampling point at that moment. A larger anomaly means that the settlement rate in that area at that moment does not conform to the normal consolidation settlement law, that is, the settlement rate at that moment does not gradually slow down and stabilize over time, but instead exhibits abnormal fluctuations or acceleration. The data measured at that moment is more likely to be erroneous.
[0054] The fourth step is to determine the settlement synergy heterogeneity at each moment based on the numerical distribution of the settlement development heterogeneity of all sampling points at each moment and the settlement asynchrony.
[0055] At the same moment, the greater the difference in sedimentation rate changes in different areas, the more irregular the data collected at that moment, and the lower the consistency of its sedimentation development trend. This irregularity makes the data less predictable, and it is difficult to accurately estimate the overall sedimentation trend of the silt area based on the existing data. When the difference in sedimentation rate is large, it may indicate that there are local anomalies in certain areas, such as uneven filling or differences in foundation conditions. These factors will further affect the uniformity and stability of settlement. Therefore, large differences in sedimentation rate not only reduce the reliability of the data, but also increase the risk of the project. More detailed monitoring and analysis are needed to identify potential problems and ensure the safety and stability of the project.
[0056] The sedimentation development anomalies of all sampling points at each moment are combined into a sedimentation development anomaly set to characterize the regularity of sedimentation rate changes in the silt region at that moment. The element ranges of the sedimentation development anomaly set are calculated for each moment, and the element ranges are forward-fused with the sedimentation asynchrony at that moment to form the sedimentation synergistic anomaly at that moment. In this embodiment, the forward fusion of multiple variables is performed using a multiplication method.
[0057] It should be understood that when the sedimentation synergy heterogeneity value at each moment is large, it indicates that the sedimentation behavior of different sampling points in the silt area at that moment is more inconsistent. Higher sedimentation synergy heterogeneity indicates that the sedimentation rate in different areas varies irregularly, which will increase the instability of the overall sedimentation process and increase the risk of localized uneven settlement or foundation instability. In this case, the prediction accuracy of sedimentation rate changes based on the monitoring data at that moment is low, which affects the effectiveness of silt solidification particle settlement monitoring.
[0058] The fifth step: for each moment and all subsequent moments, the trend characteristics and discrete characteristics of the sedimentation synergy are obtained to obtain the later homomorphic difference of each moment, and to confirm the moments of sedimentation law change.
[0059] When the sedimentation rates at different sampling points in the silt area change in the same way, it means that the pore size and distribution of each sampling point in the silt area gradually tend to be consistent, and the sedimentation state of each sampling point is the same. The sedimentation synergistic heterogeneity from each moment to the last moment is used as the input of the least squares method, and a straight line fitting is performed, and the output is the fitting straight line corresponding to each moment; the degree of discreteness of the sedimentation synergistic heterogeneity from each moment to the last moment is obtained; the absolute value of the slope of the fitting straight line and the product of the discreteness are used as the later homomorphic difference of each moment, which is used to characterize the homomorphic change difference of the sedimentation rate of different sampling points at the later stage of each moment. In this embodiment, the degree of discreteness between multiple variables is calculated by the extreme difference value, and the later homomorphic difference of each moment is calculated by the above steps. Among them, the calculation of the least squares method is a well-known technology, and the specific calculation steps are not repeated here.
[0060] Furthermore, since the sedimentation rates at all sampling points in the silt region tend to be consistent in the middle and late stages of sedimentation, after a certain point in time, the change trends at all sampling points in the silt region are the same, and the later homomorphic differences at that point in time are small. Therefore, the moment with the smallest later homomorphic differences is selected as the moment to distinguish the change in sedimentation pattern.
[0061] Among them, the flow chart for obtaining the moments of sedimentation law change is as follows: Figure 3 shown.
[0062] The sixth step: perform curve fitting on the sedimentation amount at the moment of sedimentation law change of each sampling point and at all subsequent moments, and obtain the monitoring results of solidified particle sedimentation based on the difference between the curve fitting value and the actual measured value.
[0063] For the moment of sedimentation pattern change, the sedimentation at each sampling point in the silt area from the moment of sedimentation pattern change to the last moment is used as the input of the polynomial fitting algorithm. The necessary parameter fitting order is set to 3 in this embodiment. The fitting curves for each sampling point in the silt area are output and used as the sedimentation monitoring curves for the corresponding sampling points. In real-time monitoring, the monitoring time is used as the input of the sedimentation monitoring curve, and the output is the trend sedimentation. When the error between the real-time measured sedimentation and the trend sedimentation is less than or equal to a preset value, the monitoring is considered normal and the sedimentation measurement is relatively accurate. If the error is greater than the preset value, it indicates that the monitoring is abnormal. The preset value is set to 5% in this embodiment. There are two types of abnormal conditions: one is an error in the measurement result, and the other is an abnormal sedimentation at the sampling point. The sedimentation of the abnormal sampling point is remeasured. If the remeasured sedimentation is normal, it is considered a measurement error and the measurement data is directly corrected. If the result is still abnormal, it indicates that the sedimentation at the sampling point is abnormal.
[0064] Based on the same inventive concept as the above method, an embodiment of the present application also provides an engineering fill sludge solidification particle sedimentation monitoring system, including a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the steps of any one of the above methods are implemented.
[0065] The flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to the embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the part of the module, program segment or code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in an order different from that disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified function or action, or may be implemented by a combination of dedicated hardware and computer instructions.
[0066] It is obvious to those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and that the present application can be implemented in other specific forms without departing from the basic features of the present application. Therefore, from any point of view, the above embodiments of the present application should be regarded as exemplary and non-restrictive; modifications to the technical solutions described in the above embodiments, or equivalent replacement of some of the technical features therein, do not deviate from the essence of the corresponding technical solutions within the scope of the technical solutions of the embodiments of the present application, and should be included in the scope of protection of the present application.
Claims
1. A method for monitoring the sedimentation of engineering fill silt solidification particles, characterized in that: The method comprises the following steps: Collect the sedimentation amount of each sampling point at all times in the preset time period to form a solidified particle sedimentation sequence; The first-order difference sequence of the solidified particle sedimentation sequence at each sampling point is recorded as the sedimentation difference sequence, and the elements at the same position in all sedimentation difference sequences are extracted to form the sedimentation rate set at the corresponding moment; the sedimentation rate set is evenly divided into a preset number of intervals according to the numerical range, and the element mean of the interval with the largest number of elements is obtained as the sedimentation reference value. For the sedimentation rate set at each moment, the absolute value of the difference between each element and the corresponding sedimentation reference value is calculated, and the absolute values of the differences corresponding to all elements are summed to obtain the sedimentation asynchrony at each moment; For each sampling point's sedimentation difference sequence, obtain the difference between each element and the next element. When the difference is greater than or equal to 0, use 0 as the abnormal difference at the corresponding moment of each element; otherwise, use the inverse of the difference as the abnormal difference at the corresponding moment of each element. Add the abnormal differences at the corresponding moments of each element and all subsequent elements in the sedimentation difference sequence to obtain the sedimentation development heterogeneity at each sampling point at each moment. Calculate the extreme difference of the settlement development heterogeneity of all sampling points at each moment, and perform forward fusion of the extreme difference of the settlement development heterogeneity with the settlement asynchrony at the corresponding moment as the settlement synergistic heterogeneity at each moment; Performing a straight line fitting on the sedimentation synergistic heterogeneity from each moment to the last moment; obtaining the degree of dispersion of the sedimentation synergistic heterogeneity from each moment to the last moment; multiplying the absolute value of the slope of the fitted straight line by the degree of dispersion as the late homomorphic difference degree at each moment, and taking the moment with the smallest late homomorphic difference degree as the moment of differentiation of sedimentation law change; Curve fitting is performed on the sedimentation amount at the moment when the sedimentation law changes at each sampling point and at all subsequent moments. Based on the difference between the curve fitting value and the actual measured value, the solidified particle sedimentation monitoring result is obtained.
2. A method for monitoring the sedimentation of engineering fill sludge solidified particles according to claim 1, characterized in that: The solidified particle sedimentation monitoring results are obtained, including: For each sampling point, the value on the fitting curve at each monitoring moment is recorded as the trend settlement; when the error between the trend settlement and the actual measured settlement is less than or equal to the preset value, there is no abnormality in the monitoring; otherwise, there is an abnormality in the monitoring.
3. The method for monitoring the sedimentation of engineering fill sludge solidified particles according to claim 1, characterized in that: When an abnormality occurs in the monitoring, the settlement of the sampling point where the abnormality occurs is remeasured. When the monitoring result of the remeasured settlement is normal, the measurement data with the previous abnormality is replaced; when the monitoring result is still abnormal, it is judged that the settlement of the sampling point is in an abnormal state.
4. A system for monitoring the sedimentation of solidified silt particles in engineering filling, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 3 are implemented.