Deep horizontal displacement three-dimensional monitoring method and system based on continuous point locations

Abstract

The invention relates to the technical field of deep horizontal displacement monitoring, in particular to a deep horizontal displacement three-dimensional monitoring method and system based on continuous point positions, and the method comprises the steps: constructing a horizontal displacement monitoring vector, calculating the vector projection area of the horizontal displacement monitoring vector, calculating an iteration monitoring period according to the vector projection area, and calculating the iteration monitoring period according to the iteration monitoring period. Performing horizontal displacement monitoring on the measuring point by using an iterative monitoring period to obtain the horizontal displacement of the current period, judging whether to receive a monitoring end instruction, if not, drawing a measuring point time sequence displacement curve according to the horizontal displacement of the current period, updating the horizontal displacement of the historical period and the accumulated horizontal monitoring displacement, and determining the monitoring end instruction; and if the horizontal displacement monitoring vector is received, drawing a horizontal displacement two-dimensional plane graph and a horizontal displacement three-dimensional stereogram of the deep inclinometer pipe. According to the invention, the monitoring efficiency of the deep inclinometer on the deep horizontal displacement can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of deep horizontal displacement monitoring, and in particular to a three-dimensional monitoring method and system for deep horizontal displacement based on continuous points. Background Art

[0002] In the field of geotechnical engineering, deep horizontal displacement monitoring is crucial for observing internal displacements of earth-rock dams, embankments, railway and highway slopes, rock and soil slopes, building foundations, mines, foundation pit excavations, and underground structure projects.

[0003] Currently, deep inclinometers can be used to monitor deep horizontal displacement. The deep horizontal displacement of the location of the deep inclinometer can be determined by measuring the horizontal displacement of each measuring point in the deep inclinometer. However, this method requires obtaining the horizontal displacement data of all measuring points at the same time, and does not dynamically adjust the monitoring cycle of each measurement according to the horizontal displacement of different measuring points, so that the monitoring cycle of the measuring points with small deep horizontal displacement is the same as that of the measuring points with large deep horizontal displacement. However, in actual applications, the monitoring frequency of the measuring points with large deep horizontal displacement should be higher than that of the measuring points with small deep horizontal displacement to improve the monitoring efficiency. Therefore, the current deep inclinometer monitoring of deep horizontal displacement has the problem of low monitoring efficiency. Summary of the invention

[0004] The present invention provides a three-dimensional monitoring method and system for deep horizontal displacement based on continuous points, the main purpose of which is to improve the monitoring efficiency of deep horizontal displacement by a deep inclinometer casing.

[0005] To achieve the above object, the present invention provides a three-dimensional monitoring method for deep horizontal displacement based on continuous points, comprising: Obtaining the cumulative horizontal monitoring displacement and historical period horizontal displacement of the measuring point in the deep inclinometer casing, wherein the cumulative horizontal monitoring displacement refers to the cumulative horizontal displacement of the measuring point, and the historical period horizontal displacement refers to the increased horizontal monitoring displacement of the measuring point in the previous monitoring period; Using the preset initial modulus coefficient and initial angle coefficient, a horizontal displacement monitoring vector is constructed according to the accumulated horizontal monitoring displacement and the historical period horizontal displacement, wherein the ratio of the vector modulus of the horizontal displacement monitoring vector to the accumulated horizontal monitoring displacement is the initial modulus coefficient, and the ratio of the vector angle to the historical period horizontal displacement is the initial angle coefficient; Calculating a vector projection area of ​​the horizontal displacement monitoring vector in a pre-constructed displacement monitoring coordinate system, and calculating an iterative monitoring period according to the vector projection area, wherein the vector projection area is inversely proportional to the iterative monitoring period; Performing horizontal displacement monitoring on the measuring points using the iterative monitoring cycle to obtain the current cycle horizontal displacement, wherein the measuring points are continuous points; Determine whether to receive the monitoring end instruction; If the monitoring end instruction is not received, a time series displacement curve of the measuring point is drawn according to the horizontal displacement of the current cycle; The historical cycle horizontal displacement and the accumulated horizontal monitoring displacement are updated according to the current cycle horizontal displacement, and the step of using the preset initial modulus coefficient and initial angle coefficient to construct a horizontal displacement monitoring vector according to the accumulated horizontal monitoring displacement and the historical cycle horizontal displacement is returned to; If a monitoring end instruction is received, a two-dimensional plane diagram of horizontal displacement of the deep inclinometer casing is drawn according to the time-series displacement curve of the measuring points in the deep inclinometer casing, and a three-dimensional stereogram of horizontal displacement is constructed according to the two-dimensional plane diagrams of horizontal displacement of each deep inclinometer casing.

[0006] Optionally, obtaining the accumulated horizontal monitoring displacement and historical period horizontal displacement of the measuring points in the deep inclinometer casing includes: Obtaining a periodic horizontal monitoring displacement sequence of a measuring point in the deep inclinometer casing; According to the periodic horizontal monitoring displacement sequence, the cumulative horizontal monitoring displacement is calculated using the following formula:

[0007] in, Indicates the accumulated horizontal monitoring displacement, represents the i-th periodic horizontal monitoring displacement in the periodic horizontal monitoring displacement sequence, Indicates the total number of periodic level monitoring displacements in the periodic level monitoring displacement sequence; The horizontal monitoring displacement of the previous monitoring cycle is extracted from the cycle horizontal monitoring displacement sequence, and the horizontal monitoring displacement of the previous monitoring cycle is used as the historical cycle horizontal displacement, wherein the horizontal monitoring displacement of the previous monitoring cycle refers to the last cycle horizontal monitoring displacement in the cycle horizontal monitoring displacement sequence.

[0008] Optionally, the using of a preset initial modulus coefficient and an initial angle coefficient to construct a horizontal displacement monitoring vector according to the accumulated horizontal monitoring displacement and the historical period horizontal displacement includes: According to the accumulated horizontal monitoring displacement and the initial modulus coefficient, the vector modulus is calculated using the following formula:

[0009] in, represents the vector modulus, represents the initial modulus coefficient; According to the historical period horizontal displacement and the initial angle coefficient, the vector angle is calculated using the following formula:

[0010] in, represents the vector angle, represents the horizontal displacement of the historical cycle, represents the initial angle factor; A horizontal displacement monitoring vector is drawn in the displacement monitoring coordinate system according to the vector modulus and the vector angle, wherein an angle between the horizontal displacement monitoring vector and the positive direction of the horizontal axis of the displacement monitoring coordinate system is equal to the vector angle.

[0011] Optionally, the calculating the vector projection area of ​​the horizontal displacement monitoring vector in a pre-constructed displacement monitoring coordinate system includes: The vector projection area of ​​the horizontal displacement monitoring vector is calculated according to a pre-constructed area formula, wherein the area formula is as follows:

[0012] in, Represents the projected area of ​​a vector.

[0013] Optionally, calculating the iterative monitoring period according to the vector projection area includes: The iterative monitoring period is calculated according to the vector projection area using the following formula:

[0014] in, represents the iterative monitoring cycle, represents the period conversion factor, Represents a natural constant.

[0015] Optionally, drawing a time-series displacement curve of a measuring point according to the current period horizontal displacement includes: sequentially extracting periodic horizontal monitoring displacements from the periodic horizontal monitoring displacement sequence; Identifying the periodic node monitoring time of the periodic level monitoring displacement; According to the periodic node monitoring time and the periodic horizontal monitoring displacement, points are plotted in a pre-constructed measuring point time series coordinate system to obtain a periodic displacement monitoring node sequence, wherein the horizontal axis of the measuring point time series coordinate system represents the monitoring time, and the vertical axis represents the monitoring displacement; The periodic displacement monitoring node sequence is fitted and connected in sequence to obtain a measuring point time series displacement curve.

[0016] Optionally, the updating of the historical cycle horizontal displacement and the cumulative horizontal monitoring displacement according to the current cycle horizontal displacement includes: Taking the current cycle level displacement as the historical cycle level displacement; According to the current periodic horizontal displacement and the cumulative horizontal monitoring displacement, the current cumulative horizontal displacement is calculated using the following formula:

[0017] in, Indicates the current accumulated horizontal displacement, Indicates the horizontal displacement of the current cycle; The accumulated horizontal monitoring displacement is updated using the current accumulated horizontal displacement.

[0018] Optionally, drawing a two-dimensional plane diagram of horizontal displacement of the deep inclinometer casing according to the time-series displacement curves of the measuring points in the deep inclinometer casing comprises: Acquire a deep horizontal unit monitoring period, and calculate a horizontal displacement interception time series according to the deep horizontal unit monitoring period, wherein the horizontal displacement interception time in the horizontal displacement interception time series is equal to an integer multiple of the deep horizontal unit monitoring period; Sequentially extracting horizontal displacement interception times from the horizontal displacement interception time sequence; According to the horizontal displacement interception time, a measuring point horizontal displacement sequence is intercepted in the measuring point time series coordinate system, wherein the measuring point horizontal displacement sequence refers to a sequence composed of horizontal displacements of each measuring point in the deep inclinometer casing at the horizontal displacement interception time; Draw a deep horizontal displacement curve of the deep inclinometer casing at the horizontal displacement interception time according to the horizontal displacement sequence of the measuring points; The deep horizontal displacement curves of each horizontal displacement interception time are collected to obtain a two-dimensional plane diagram of the horizontal displacement of the deep inclinometer casing.

[0019] Optionally, constructing a three-dimensional horizontal displacement map according to the two-dimensional horizontal displacement plane map of each deep-layer inclinometer casing includes: Identifying the surface arrangement points of the deep inclinometer casings and the deep horizontal displacement curves of each deep inclinometer casing; Determine the xy plane point of the deep horizontal displacement curve in the pre-constructed three-dimensional deep horizontal displacement coordinate system according to the surface arrangement points; Identifying the surface endpoint of the deep horizontal displacement curve, translating the surface endpoint of the deep horizontal displacement curve to the xy plane point, and obtaining a three-dimensional horizontal displacement curve; The three-dimensional curves of horizontal displacement of each deep-layer inclinometer casing are collected to obtain a three-dimensional stereogram of horizontal displacement.

[0020] To achieve the above object, the present invention also provides a three-dimensional monitoring system for deep horizontal displacement based on continuous points, comprising: The iterative monitoring cycle calculation module is used to obtain the cumulative horizontal monitoring displacement and the historical period horizontal displacement of the measuring point in the deep inclinometer casing, wherein the cumulative horizontal monitoring displacement refers to the cumulative horizontal displacement of the measuring point, and the historical period horizontal displacement refers to the horizontal monitoring displacement increased by the measuring point in the previous monitoring cycle; using the preset initial modulus coefficient and initial angle coefficient, a horizontal displacement monitoring vector is constructed according to the cumulative horizontal monitoring displacement and the historical period horizontal displacement, wherein the ratio of the vector modulus of the horizontal displacement monitoring vector to the cumulative horizontal monitoring displacement is the initial modulus coefficient, and the ratio of the vector angle to the historical period horizontal displacement is the initial angle coefficient; calculate the vector projection area of ​​the horizontal displacement monitoring vector in the pre-constructed displacement monitoring coordinate system, and calculate the iterative monitoring cycle according to the vector projection area, wherein the vector projection area is inversely proportional to the iterative monitoring cycle; A current cycle horizontal displacement monitoring module, used to perform horizontal displacement monitoring on the measuring points using the iterative monitoring cycle to obtain the current cycle horizontal displacement, wherein the measuring points are continuous points; The horizontal displacement cycle monitoring judgment module is used to judge whether the monitoring end instruction is received; if the monitoring end instruction is not received, the measuring point time series displacement curve is drawn according to the current cycle horizontal displacement; the historical cycle horizontal displacement and the cumulative horizontal monitoring displacement are updated according to the current cycle horizontal displacement, and the step of using the preset initial modulus coefficient and initial angle coefficient to construct the horizontal displacement monitoring vector according to the cumulative horizontal monitoring displacement and the historical cycle horizontal displacement is returned; The module for constructing a three-dimensional horizontal displacement map is used to draw a two-dimensional horizontal displacement map of the deep inclinometer casing according to the time-series displacement curve of the measuring points in the deep inclinometer casing if a monitoring end instruction is received, and to construct a three-dimensional horizontal displacement map according to the two-dimensional horizontal displacement maps of each deep inclinometer casing.

[0021] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising: A memory storing at least one instruction; and a processor executing the instructions stored in the memory to implement the above-mentioned three-dimensional monitoring method for deep horizontal displacement based on continuous points.

[0022] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned three-dimensional monitoring method for deep horizontal displacement based on continuous points.

[0023] In order to solve the problem described in the background technology, the present invention first needs to calculate the current iterative monitoring cycle. Only when the iterative monitoring cycle is calculated can the horizontal displacement of the measuring point be monitored according to the iterative monitoring cycle. When calculating the iterative monitoring cycle, since the larger the cumulative horizontal monitoring displacement and the historical period horizontal displacement are, the smaller the required iterative monitoring cycle should be, therefore, it is necessary to first obtain the cumulative horizontal monitoring displacement and the historical period horizontal displacement of the measuring point in the deep inclinometer casing, and then use the initial modulus coefficient and the initial angle coefficient to construct a horizontal displacement monitoring vector according to the cumulative horizontal monitoring displacement and the historical period horizontal displacement. In the embodiment of the present invention, the overall situation of the cumulative horizontal monitoring displacement and the historical period horizontal displacement is represented by the vector projection area of ​​the horizontal displacement monitoring vector, so it can be calculated. Calculate the vector projection area of ​​the horizontal displacement monitoring vector in the pre-constructed displacement monitoring coordinate system, and then calculate the iterative monitoring cycle according to the vector projection area. After the current cycle horizontal displacement is monitored using the iterative monitoring cycle, it is necessary to determine whether a monitoring end instruction is received. If the monitoring end instruction is not received, a measuring point time-series displacement curve is drawn according to the current cycle horizontal displacement, and the historical cycle horizontal displacement and the accumulated horizontal monitoring displacement are updated according to the current cycle horizontal displacement, and the horizontal displacement monitoring vector is reconstructed. If the monitoring end instruction is received, a two-dimensional plane diagram of the horizontal displacement of the deep inclinometer casing is drawn according to the measuring point time-series displacement curve of the measuring point in the deep inclinometer casing, and then a three-dimensional stereogram of the horizontal displacement is constructed according to the two-dimensional plane diagrams of the horizontal displacement of each deep inclinometer casing. Therefore, the present invention can improve the monitoring efficiency of the deep inclinometer casing on the deep horizontal displacement. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic diagram of a flow chart of a method for three-dimensional monitoring of deep horizontal displacement based on continuous points provided by an embodiment of the present invention; Figure 2 A functional module diagram of a three-dimensional monitoring system for deep horizontal displacement based on continuous points provided by an embodiment of the present invention; Figure 3 A schematic structural diagram of an electronic device for implementing the three-dimensional monitoring method of deep horizontal displacement based on continuous points provided in one embodiment of the present invention.

[0025] Description of reference numerals: 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0026] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0027] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0028] The embodiment of the present application provides a three-dimensional monitoring method for deep horizontal displacement based on continuous points. The execution subject of the three-dimensional monitoring method for deep horizontal displacement based on continuous points includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the three-dimensional monitoring method for deep horizontal displacement based on continuous points can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0029] Reference Figure 1 FIG. 1 is a flow chart of a method for three-dimensional monitoring of deep horizontal displacement based on continuous points provided by an embodiment of the present invention. In this embodiment, the method for three-dimensional monitoring of deep horizontal displacement based on continuous points includes: S1. Obtain the accumulated horizontal monitoring displacement and historical period horizontal displacement of the measuring points in the deep inclinometer casing.

[0030] It is understandable that the deep inclinometer tube refers to a tubular device used to measure the internal inclination deformation of soil or rock mass. The working principle and structural composition of the deep inclinometer tube are prior art and will not be described in detail here. The measuring point refers to the monitoring point where the deep inclinometer tube measures horizontal displacement, for example: the monitoring points in the deep inclinometer tube at 2m, 4m, and 6m from the ground.

[0031] In detail, the cumulative horizontal monitoring displacement refers to the cumulative horizontal displacement of the measuring point, for example, the deep horizontal displacement of the measuring point monitored on January 1, 2020 is 2 mm, the deep horizontal displacement of the measuring point monitored on January 2, 2020 is 3 mm, and the deep horizontal displacement of the measuring point monitored on January 3, 2020 is 1 mm, then the cumulative horizontal monitoring displacement from January 1 to January 3, 2020 is 6 mm. The historical period horizontal displacement refers to the horizontal monitoring displacement added to the measuring point in the previous monitoring period, for example, when the monitoring period is fixed to 1 day and the current time is January 4, 2020, then the historical period horizontal displacement can be 1 mm on January 3, 2020.

[0032] In the embodiment of the present invention, the step of obtaining the accumulated horizontal monitoring displacement and the historical period horizontal displacement of the measuring point in the deep inclinometer casing includes: Obtaining a periodic horizontal monitoring displacement sequence of a measuring point in the deep inclinometer casing; According to the periodic horizontal monitoring displacement sequence, the cumulative horizontal monitoring displacement is calculated using the following formula:

[0033] in, Indicates the accumulated horizontal monitoring displacement, represents the i-th periodic horizontal monitoring displacement in the periodic horizontal monitoring displacement sequence, Indicates the total number of periodic level monitoring displacements in the periodic level monitoring displacement sequence; The horizontal monitoring displacement of the previous monitoring cycle is extracted from the cycle horizontal monitoring displacement sequence, and the horizontal monitoring displacement of the previous monitoring cycle is used as the historical cycle horizontal displacement, wherein the horizontal monitoring displacement of the previous monitoring cycle refers to the last cycle horizontal monitoring displacement in the cycle horizontal monitoring displacement sequence.

[0034] Furthermore, the periodic horizontal monitoring displacement sequence refers to a sequence of deep horizontal displacements of the measuring points measured according to the monitoring period. For example: 2mm, 3mm, 1mm, etc. When the deep horizontal displacement of the measuring point monitored on January 3, 2020 is 1mm, and the current date is January 4, 2020, the historical periodic horizontal displacement is 1mm.

[0035] S2. Using the preset initial modulus coefficient and initial angle coefficient, a horizontal displacement monitoring vector is constructed according to the accumulated horizontal monitoring displacement and the historical period horizontal displacement.

[0036] It can be understood that the initial modulus coefficient refers to the ratio coefficient of the modulus to the accumulated horizontal monitoring displacement, and the initial angle coefficient refers to the ratio coefficient of the angle to the historical period horizontal displacement.

[0037] In detail, the ratio of the vector modulus of the horizontal displacement monitoring vector to the accumulated horizontal monitoring displacement is the initial modulus coefficient, and the ratio of the vector angle to the horizontal displacement of the historical period is the initial angle coefficient. Since the larger the accumulated horizontal monitoring displacement, the larger the total horizontal displacement of the measuring point, and the larger the horizontal displacement of the historical period, the larger the recent horizontal displacement of the measuring point, therefore, when the accumulated horizontal monitoring displacement and the horizontal displacement of the historical period are larger, the monitoring frequency should be increased and the monitoring period should be shortened, and the vector modulus and vector angle of the corresponding horizontal displacement monitoring vector can also be increased according to the corresponding proportion, and finally the monitoring period is represented by the vector projection area of ​​the horizontal displacement monitoring vector, as shown in the following embodiments.

[0038] In the embodiment of the present invention, the use of the preset initial modulus coefficient and the initial angle coefficient to construct a horizontal displacement monitoring vector according to the accumulated horizontal monitoring displacement and the historical period horizontal displacement includes: According to the accumulated horizontal monitoring displacement and the initial modulus coefficient, the vector modulus is calculated using the following formula:

[0039] in, represents the vector modulus, represents the initial modulus coefficient; According to the historical period horizontal displacement and the initial angle coefficient, the vector angle is calculated using the following formula:

[0040] in, represents the vector angle, represents the horizontal displacement of the historical cycle, represents the initial angle factor; A horizontal displacement monitoring vector is drawn in the displacement monitoring coordinate system according to the vector modulus and the vector angle, wherein an angle between the horizontal displacement monitoring vector and the positive direction of the horizontal axis of the displacement monitoring coordinate system is equal to the vector angle.

[0041] It is understandable that the initial modulus coefficient and the initial angle coefficient can be set by professionals according to actual conditions. The displacement monitoring coordinate system refers to a coordinate system used to represent the horizontal displacement monitoring vector.

[0042] For example, when the cumulative horizontal monitoring displacement is 100mm, the initial modulus coefficient is 0.1cm / mm, the vector modulus is 10cm, and when the historical period horizontal displacement is 5mm, the initial angle coefficient is 3 degrees / mm, and the vector angle is 5mm*3 degrees / mm=15 degrees, that is, the angle between the horizontal displacement monitoring vector and the positive direction of the horizontal coordinate of the displacement monitoring coordinate system is 15 degrees. The initial angle coefficient should be set to a suitable value according to the actual situation to ensure that the variation range of the vector angle is between 0 degrees and 90 degrees. When the vector angle is greater than 90 degrees, the vector projection area of ​​the horizontal displacement monitoring vector will no longer be determined only by the vector modulus and the vector angle. See the following embodiments for details.

[0043] S3. Calculate the vector projection area of ​​the horizontal displacement monitoring vector in the pre-constructed displacement monitoring coordinate system, and calculate the iterative monitoring period according to the vector projection area.

[0044] Further, the iterative monitoring period refers to the replacement period of monitoring the deep horizontal displacement of the measuring point, for example: the deep horizontal displacement of the measuring point monitored on January 1, 2020 is 2 mm; the deep horizontal displacement of the measuring point monitored on January 2, 2020 is 3 mm; the deep horizontal displacement of the measuring point monitored on January 3, 2020 is 1 mm; the deep horizontal displacement of the measuring point monitored on January 5, 2020 is 3 mm; the deep horizontal displacement of the measuring point monitored on January 7, 2020 is 1 mm, then the iterative monitoring period from the 1st to the 3rd is 1 day, and the iterative monitoring period from the 4th to the 7th is 2 days.

[0045] It can be understood that the vector projection area is inversely proportional to the iterative monitoring period. The vector projection area refers to the projection area of ​​the horizontal displacement monitoring vector in the reverse direction of the longitudinal axis of the displacement monitoring coordinate system. For example, when the vector modulus of the horizontal displacement monitoring vector is 10 cm and the vector angle is 30 degrees, the vector starting point of the horizontal displacement monitoring vector can be translated to the origin of the displacement monitoring coordinate system, and the vector direction is 30 degrees to the positive direction of the horizontal axis of the displacement monitoring coordinate system. At this time, the vector projection area is equal to Square centimeters.

[0046] In the embodiment of the present invention, the step of calculating the vector projection area of ​​the horizontal displacement monitoring vector in the pre-constructed displacement monitoring coordinate system includes: The vector projection area of ​​the horizontal displacement monitoring vector is calculated according to a pre-constructed area formula, wherein the area formula is as follows:

[0047] in, Represents the projected area of ​​a vector.

[0048] In the embodiment of the present invention, the step of calculating the iterative monitoring period according to the vector projection area includes: The iterative monitoring period is calculated according to the vector projection area using the following formula:

[0049] in, represents the iterative monitoring cycle, represents the period conversion factor, Represents a natural constant.

[0050] It can be understood that the vector projection area should be inversely proportional to the iterative monitoring period, that is, the larger the vector projection area is, the greater the cumulative horizontal monitoring displacement is compared with the historical period level. Therefore, the iterative monitoring period should be reduced at this time, and the horizontal displacement of the measuring point should be measured with a higher monitoring frequency.

[0051] Furthermore, due to the The value range of is 1-positive infinity. Therefore, when the vector projection area becomes larger (for example, 2.5), the denominator will be close to 1. At this time, the iterative monitoring period will be close to the period conversion coefficient. Therefore, the period conversion coefficient should be reasonably set according to the iterative monitoring period. For example, when the minimum value of the iterative monitoring period is 1 day, the value of the period conversion coefficient should be 1.

[0052] S4. Perform horizontal displacement monitoring on the measuring point using the iterative monitoring cycle to obtain the horizontal displacement of the current cycle.

[0053] It is understandable that the measuring points are continuous points, which means that the positions of the measuring points in the deep inclinometer casing are continuous points, for example, a measuring point is set at 2m, 4m, and 6m from the ground. The current cycle horizontal displacement refers to the next cycle horizontal displacement of the historical cycle horizontal displacement.

[0054] S5. Determine whether a monitoring end instruction is received.

[0055] If the monitoring end instruction is not received, S6 is executed to draw a time series displacement curve of the measuring point according to the current period horizontal displacement.

[0056] It can be understood that the measuring point time series displacement curve refers to a curve showing the cumulative deep horizontal displacement of the measuring point changing with time.

[0057] In the embodiment of the present invention, the step of drawing a time series displacement curve of a measuring point according to the current period horizontal displacement includes: sequentially extracting periodic horizontal monitoring displacements from the periodic horizontal monitoring displacement sequence; Identifying the periodic node monitoring time of the periodic level monitoring displacement; According to the periodic node monitoring time and the periodic horizontal monitoring displacement, points are plotted in a pre-constructed measuring point time series coordinate system to obtain a periodic displacement monitoring node sequence, wherein the horizontal axis of the measuring point time series coordinate system represents the monitoring time, and the vertical axis represents the monitoring displacement; The periodic displacement monitoring node sequence is fitted and connected in sequence to obtain a measuring point time series displacement curve.

[0058] It should be understood that the periodic horizontal monitoring displacement sequence refers to a sequence of deep horizontal displacements obtained by monitoring the measuring point in each iterative monitoring cycle, for example: the deep horizontal displacement of the measuring point monitored on January 1, 2020 is 2mm; the deep horizontal displacement of the measuring point monitored on January 2, 2020 is 3mm; the deep horizontal displacement of the measuring point monitored on January 3, 2020 is 1mm; the deep horizontal displacement of the measuring point monitored on January 5, 2020 is 3mm; the deep horizontal displacement of the measuring point monitored on January 7, 2020 is 1mm, then the periodic horizontal monitoring displacement sequence is 2mm, 3mm, 1mm, 3mm, 1mm. The periodic node monitoring time refers to the monitoring time of the periodic horizontal monitoring displacement, for example: January 1, 2020. The periodic displacement monitoring node sequence refers to a sequence of coordinate points obtained according to the periodic node monitoring time and the periodic horizontal monitoring displacement plotting points.

[0059] S7. Update the historical cycle horizontal displacement and the cumulative horizontal monitoring displacement according to the current cycle horizontal displacement.

[0060] It is understandable that, since the measuring point needs to be continuously monitored for deep horizontal displacement, the historical cycle horizontal displacement and the cumulative horizontal monitoring displacement are constantly changing. Therefore, the historical cycle horizontal displacement and the cumulative horizontal monitoring displacement need to be updated using the current cycle horizontal displacement.

[0061] In the embodiment of the present invention, the updating of the historical cycle horizontal displacement and the cumulative horizontal monitoring displacement according to the current cycle horizontal displacement includes: Taking the current cycle level displacement as the historical cycle level displacement; According to the current periodic horizontal displacement and the cumulative horizontal monitoring displacement, the current cumulative horizontal displacement is calculated using the following formula:

[0062] in, Indicates the current accumulated horizontal displacement, Indicates the horizontal displacement of the current cycle; The accumulated horizontal monitoring displacement is updated using the current accumulated horizontal displacement.

[0063] It can be understood that the current cumulative horizontal displacement refers to the cumulative deep horizontal monitoring displacement of the measuring point at the current moment. The cumulative horizontal monitoring displacement is the superposition of the historical periodic horizontal displacement monitored each time. Therefore, the current cumulative horizontal displacement should be the sum of the current periodic horizontal displacement and the cumulative horizontal monitoring displacement.

[0064] For example: the deep horizontal displacement of the measuring point monitored on January 1, 2020 is 2 mm, the deep horizontal displacement of the measuring point monitored on January 2, 2020 is 3 mm, and the deep horizontal displacement of the measuring point monitored on January 3, 2020 is 1 mm. When the current period horizontal displacement is the deep horizontal displacement of the measuring point monitored on January 4, 2020, it is 4 mm, the current cumulative horizontal displacement is updated from 6 mm to 10 mm, and the historical period horizontal displacement is updated from 1 mm to 4 mm.

[0065] Return to the above step of using the preset initial modulus coefficient and initial angle coefficient to construct a horizontal displacement monitoring vector according to the accumulated horizontal monitoring displacement and the historical period horizontal displacement.

[0066] It is understandable that after obtaining the current cumulative horizontal displacement, the next iterative monitoring cycle should be calculated. Therefore, it is necessary to use the initial modulus coefficient and the initial angle coefficient to construct a horizontal displacement monitoring vector based on the cumulative horizontal monitoring displacement and the historical period horizontal displacement, and calculate the next iterative monitoring cycle.

[0067] If the monitoring end instruction is received, S8 is executed to draw a two-dimensional plane diagram of the horizontal displacement of the deep inclinometer casing according to the time-series displacement curve of the measuring points in the deep inclinometer casing, and a three-dimensional stereogram of the horizontal displacement is constructed according to the two-dimensional plane diagrams of the horizontal displacement of each deep inclinometer casing.

[0068] It should be understood that the horizontal displacement two-dimensional plane diagram refers to a collection of deep horizontal displacement curves measured at each measuring point in the deep inclinometer casing in an iterative monitoring cycle. The horizontal displacement three-dimensional stereogram refers to a three-dimensional stereogram representing deep horizontal displacement obtained by combining multiple horizontal displacement two-dimensional plane diagrams of deep inclinometer casings according to the arrangement points of the deep inclinometer casings. The deep horizontal displacement curve refers to the deep horizontal displacement curves of each measuring point of the same deep inclinometer casing measured in an iterative monitoring cycle.

[0069] In an embodiment of the present invention, the step of drawing a two-dimensional plane diagram of horizontal displacement of the deep inclinometer casing according to the time-series displacement curves of the measuring points in the deep inclinometer casing comprises: Acquire a deep horizontal unit monitoring period, and calculate a horizontal displacement interception time series according to the deep horizontal unit monitoring period, wherein the horizontal displacement interception time in the horizontal displacement interception time series is equal to an integer multiple of the deep horizontal unit monitoring period; Sequentially extracting horizontal displacement interception times from the horizontal displacement interception time sequence; According to the horizontal displacement interception time, a measuring point horizontal displacement sequence is intercepted in the measuring point time series coordinate system, wherein the measuring point horizontal displacement sequence refers to a sequence composed of horizontal displacements of each measuring point in the deep inclinometer casing at the horizontal displacement interception time; Draw a deep horizontal displacement curve of the deep inclinometer casing at the horizontal displacement interception time according to the horizontal displacement sequence of the measuring points; The deep horizontal displacement curves of each horizontal displacement interception time are collected to obtain a two-dimensional plane diagram of the horizontal displacement of the deep inclinometer casing.

[0070] It can be understood that the deep horizontal unit monitoring period refers to the measurement time period of each deep horizontal displacement curve interval in the horizontal displacement two-dimensional plane diagram. The horizontal displacement interception time series refers to the time series of the horizontal displacement series of each measuring point intercepted in the measuring point time series coordinate system. For example: the deep horizontal displacement of the measuring point with a depth of 2m monitored on January 1, 2020 was 2mm, the deep horizontal displacement of the measuring point monitored on January 2, 2020 was 3mm, and the deep horizontal displacement of the measuring point monitored on January 3, 2020 was 1mm; the deep horizontal displacement of the measuring point with a depth of 3m monitored on January 1, 2020 was 2 .5mm, the deep horizontal displacement of the measuring point monitored on January 2, 2020 is 2mm, and the deep horizontal displacement of the measuring point monitored on January 3, 2020 is 2mm. When the deep horizontal unit monitoring period is 1 day, the horizontal displacement interception time series is January 1, 2020, January 2, 2020, and January 3, 2020. When the horizontal displacement interception time is January 2, 2020, the intercepted measuring point horizontal displacement sequence is 3mm and 2mm.

[0071] In the embodiment of the present invention, the construction of a three-dimensional horizontal displacement map based on the two-dimensional horizontal displacement map of each deep inclinometer casing includes: Identifying the surface arrangement points of the deep inclinometer casings and the deep horizontal displacement curves of each deep inclinometer casing; Determine the xy plane point of the deep horizontal displacement curve in the pre-constructed three-dimensional deep horizontal displacement coordinate system according to the surface arrangement points; Identifying the surface endpoint of the deep horizontal displacement curve, translating the surface endpoint of the deep horizontal displacement curve to the xy plane point, and obtaining a three-dimensional horizontal displacement curve; The three-dimensional curves of horizontal displacement of each deep-layer inclinometer casing are collected to obtain a three-dimensional stereogram of horizontal displacement.

[0072] It can be understood that the surface arrangement point refers to the arrangement position of the deep inclinometer casing on the ground, and the xy plane point refers to the position point of the surface arrangement point on the plane where the x-axis and y-axis of the three-dimensional deep horizontal displacement coordinate system are located. The surface endpoint refers to the endpoint of the deep horizontal displacement curve at a depth of 0m. The three-dimensional horizontal displacement curve refers to the spatial three-dimensional horizontal displacement curve measured by each measuring point of the deep inclinometer casing under a certain iterative monitoring cycle. The three-dimensional horizontal displacement stereogram refers to a three-dimensional curve diagram surrounded by the three-dimensional horizontal displacement curves of each deep inclinometer casing, which represents the deep horizontal displacement of each deep inclinometer casing.

[0073] In order to solve the problem described in the background technology, the present invention first needs to calculate the current iterative monitoring cycle. Only when the iterative monitoring cycle is calculated can the horizontal displacement of the measuring point be monitored according to the iterative monitoring cycle. When calculating the iterative monitoring cycle, since the larger the cumulative horizontal monitoring displacement and the historical period horizontal displacement are, the smaller the required iterative monitoring cycle should be, therefore, it is necessary to first obtain the cumulative horizontal monitoring displacement and the historical period horizontal displacement of the measuring point in the deep inclinometer casing, and then use the initial modulus coefficient and the initial angle coefficient to construct a horizontal displacement monitoring vector according to the cumulative horizontal monitoring displacement and the historical period horizontal displacement. In the embodiment of the present invention, the overall situation of the cumulative horizontal monitoring displacement and the historical period horizontal displacement is represented by the vector projection area of ​​the horizontal displacement monitoring vector, so it can be calculated. Calculate the vector projection area of ​​the horizontal displacement monitoring vector in the pre-constructed displacement monitoring coordinate system, and then calculate the iterative monitoring cycle according to the vector projection area. After the current cycle horizontal displacement is monitored using the iterative monitoring cycle, it is necessary to determine whether a monitoring end instruction is received. If the monitoring end instruction is not received, a measuring point time-series displacement curve is drawn according to the current cycle horizontal displacement, and the historical cycle horizontal displacement and the accumulated horizontal monitoring displacement are updated according to the current cycle horizontal displacement, and the horizontal displacement monitoring vector is reconstructed. If the monitoring end instruction is received, a two-dimensional plane diagram of the horizontal displacement of the deep inclinometer casing is drawn according to the measuring point time-series displacement curve of the measuring point in the deep inclinometer casing, and then a three-dimensional stereogram of the horizontal displacement is constructed according to the two-dimensional plane diagrams of the horizontal displacement of each deep inclinometer casing. Therefore, the present invention can improve the monitoring efficiency of the deep inclinometer casing on the deep horizontal displacement.

[0074] like Figure 2 , which is a functional module diagram of a three-dimensional monitoring system for deep horizontal displacement based on continuous points provided by an embodiment of the present invention.

[0075] The three-dimensional monitoring system 100 for deep horizontal displacement based on continuous points of the present invention can be installed in an electronic device. According to the functions to be implemented, the three-dimensional monitoring system 100 for deep horizontal displacement based on continuous points can include an iterative monitoring cycle calculation module 101, a current cycle horizontal displacement monitoring module 102, a horizontal displacement cycle monitoring judgment module 103 and a horizontal displacement three-dimensional stereogram construction module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0076] The iterative monitoring cycle calculation module 101 is used to obtain the cumulative horizontal monitoring displacement and the historical period horizontal displacement of the measuring point in the deep inclinometer casing, wherein the cumulative horizontal monitoring displacement refers to the cumulative horizontal displacement of the measuring point, and the historical period horizontal displacement refers to the horizontal monitoring displacement increased by the measuring point in the previous monitoring cycle; using the preset initial modulus coefficient and initial angle coefficient, a horizontal displacement monitoring vector is constructed according to the cumulative horizontal monitoring displacement and the historical period horizontal displacement, wherein the ratio of the vector modulus of the horizontal displacement monitoring vector to the cumulative horizontal monitoring displacement is the initial modulus coefficient, and the ratio of the vector angle to the historical period horizontal displacement is the initial angle coefficient; calculating the vector projection area of ​​the horizontal displacement monitoring vector in the pre-constructed displacement monitoring coordinate system, and calculating the iterative monitoring cycle according to the vector projection area, wherein the vector projection area is inversely proportional to the iterative monitoring cycle; The current cycle horizontal displacement monitoring module 102 is used to monitor the horizontal displacement of the measuring points using the iterative monitoring cycle to obtain the current cycle horizontal displacement, wherein the measuring points are continuous points; The horizontal displacement cycle monitoring judgment module 103 is used to judge whether a monitoring end instruction is received; if the monitoring end instruction is not received, a measuring point time series displacement curve is drawn according to the current cycle horizontal displacement; the historical cycle horizontal displacement and the accumulated horizontal monitoring displacement are updated according to the current cycle horizontal displacement, and the step of using the preset initial modulus coefficient and initial angle coefficient to construct a horizontal displacement monitoring vector according to the accumulated horizontal monitoring displacement and the historical cycle horizontal displacement is returned to; The horizontal displacement three-dimensional stereogram construction module 104 is used to draw a two-dimensional plane diagram of the horizontal displacement of the deep inclinometer casing according to the time-series displacement curve of the measuring points in the deep inclinometer casing if a monitoring end instruction is received, and to construct a three-dimensional horizontal displacement stereogram according to the two-dimensional plane diagrams of the horizontal displacement of each deep inclinometer casing.

[0077] In detail, the modules in the deep horizontal displacement three-dimensional monitoring system 100 based on continuous points in the embodiment of the present invention are used in the same manner as described above. Figure 1 The three-dimensional monitoring method for deep horizontal displacement based on continuous points described in the invention has the same technical means and can produce the same technical effects, so it will not be repeated here.

[0078] like Figure 3 , is a schematic diagram of the structure of an electronic device for implementing a three-dimensional monitoring method of deep horizontal displacement based on continuous points provided by an embodiment of the present invention.

[0079] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a three-dimensional monitoring method program for deep horizontal displacement based on continuous points.

[0080] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the deep horizontal displacement three-dimensional stereoscopic monitoring method program based on continuous points, etc., but can also be used to temporarily store data that has been output or is to be output.

[0081] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as a deep horizontal displacement three-dimensional monitoring method program based on continuous points, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0082] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0083] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0084] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0085] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0086] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0087] The program of the deep horizontal displacement three-dimensional monitoring method based on continuous points stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve: Obtaining the cumulative horizontal monitoring displacement and historical period horizontal displacement of the measuring point in the deep inclinometer casing, wherein the cumulative horizontal monitoring displacement refers to the cumulative horizontal displacement of the measuring point, and the historical period horizontal displacement refers to the increased horizontal monitoring displacement of the measuring point in the previous monitoring period; Using the preset initial modulus coefficient and initial angle coefficient, a horizontal displacement monitoring vector is constructed according to the accumulated horizontal monitoring displacement and the historical period horizontal displacement, wherein the ratio of the vector modulus of the horizontal displacement monitoring vector to the accumulated horizontal monitoring displacement is the initial modulus coefficient, and the ratio of the vector angle to the historical period horizontal displacement is the initial angle coefficient; Calculating a vector projection area of ​​the horizontal displacement monitoring vector in a pre-constructed displacement monitoring coordinate system, and calculating an iterative monitoring period according to the vector projection area, wherein the vector projection area is inversely proportional to the iterative monitoring period; Performing horizontal displacement monitoring on the measuring points using the iterative monitoring cycle to obtain the current cycle horizontal displacement, wherein the measuring points are continuous points; Determine whether to receive the monitoring end instruction; If the monitoring end instruction is not received, a time series displacement curve of the measuring point is drawn according to the horizontal displacement of the current cycle; The historical cycle horizontal displacement and the accumulated horizontal monitoring displacement are updated according to the current cycle horizontal displacement, and the step of using the preset initial modulus coefficient and initial angle coefficient to construct a horizontal displacement monitoring vector according to the accumulated horizontal monitoring displacement and the historical cycle horizontal displacement is returned to; If the monitoring end instruction is received, a two-dimensional plane diagram of the horizontal displacement of the deep inclinometer casing is drawn according to the time-series displacement curve of the measuring points in the deep inclinometer casing, and a three-dimensional stereogram of the horizontal displacement is constructed according to the two-dimensional plane diagrams of the horizontal displacement of each deep inclinometer casing. Specifically, the specific implementation method of the processor 10 for the above instructions can be referred to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0088] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0089] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement: Obtaining the cumulative horizontal monitoring displacement and historical period horizontal displacement of the measuring point in the deep inclinometer casing, wherein the cumulative horizontal monitoring displacement refers to the cumulative horizontal displacement of the measuring point, and the historical period horizontal displacement refers to the increased horizontal monitoring displacement of the measuring point in the previous monitoring period; Using the preset initial modulus coefficient and initial angle coefficient, a horizontal displacement monitoring vector is constructed according to the accumulated horizontal monitoring displacement and the historical period horizontal displacement, wherein the ratio of the vector modulus of the horizontal displacement monitoring vector to the accumulated horizontal monitoring displacement is the initial modulus coefficient, and the ratio of the vector angle to the historical period horizontal displacement is the initial angle coefficient; Calculating a vector projection area of ​​the horizontal displacement monitoring vector in a pre-constructed displacement monitoring coordinate system, and calculating an iterative monitoring period according to the vector projection area, wherein the vector projection area is inversely proportional to the iterative monitoring period; Performing horizontal displacement monitoring on the measuring points using the iterative monitoring cycle to obtain the current cycle horizontal displacement, wherein the measuring points are continuous points; Determine whether to receive the monitoring end instruction; If the monitoring end instruction is not received, a time series displacement curve of the measuring point is drawn according to the horizontal displacement of the current cycle; The historical cycle horizontal displacement and the accumulated horizontal monitoring displacement are updated according to the current cycle horizontal displacement, and the step of using the preset initial modulus coefficient and initial angle coefficient to construct a horizontal displacement monitoring vector according to the accumulated horizontal monitoring displacement and the historical cycle horizontal displacement is returned to; If a monitoring end instruction is received, a two-dimensional plane diagram of the horizontal displacement of the deep inclinometer casing is drawn according to the time-series displacement curve of the measuring points in the deep inclinometer casing, and a three-dimensional stereogram of the horizontal displacement is constructed according to the two-dimensional plane diagrams of the horizontal displacement of each deep inclinometer casing. In several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only exemplary, and the actual implementation may have other division methods.

[0090] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0091] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0092] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A three-dimensional monitoring method for deep horizontal displacement based on continuous points, characterized in that: The method comprises: Obtaining the cumulative horizontal monitoring displacement and historical period horizontal displacement of the measuring point in the deep inclinometer casing, wherein the cumulative horizontal monitoring displacement refers to the cumulative horizontal displacement of the measuring point, and the historical period horizontal displacement refers to the increased horizontal monitoring displacement of the measuring point in the previous monitoring period; Using the preset initial modulus coefficient and initial angle coefficient, a horizontal displacement monitoring vector is constructed according to the accumulated horizontal monitoring displacement and the historical period horizontal displacement, wherein the ratio of the vector modulus of the horizontal displacement monitoring vector to the accumulated horizontal monitoring displacement is the initial modulus coefficient, and the ratio of the vector angle to the historical period horizontal displacement is the initial angle coefficient; Calculating a vector projection area of ​​the horizontal displacement monitoring vector in a pre-constructed displacement monitoring coordinate system, and calculating an iterative monitoring period according to the vector projection area, wherein the vector projection area is inversely proportional to the iterative monitoring period; Performing horizontal displacement monitoring on the measuring points using the iterative monitoring cycle to obtain the current cycle horizontal displacement, wherein the measuring points are continuous points; Determine whether to receive the monitoring end instruction; If the monitoring end instruction is not received, a time series displacement curve of the measuring point is drawn according to the horizontal displacement of the current cycle; The historical cycle horizontal displacement and the accumulated horizontal monitoring displacement are updated according to the current cycle horizontal displacement, and the step of using the preset initial modulus coefficient and initial angle coefficient to construct a horizontal displacement monitoring vector according to the accumulated horizontal monitoring displacement and the historical cycle horizontal displacement is returned to; If a monitoring end instruction is received, a two-dimensional plane diagram of horizontal displacement of the deep inclinometer casing is drawn according to the time-series displacement curve of the measuring points in the deep inclinometer casing, and a three-dimensional stereogram of horizontal displacement is constructed according to the two-dimensional plane diagrams of horizontal displacement of each deep inclinometer casing.

2. The three-dimensional monitoring method for deep horizontal displacement based on continuous points according to claim 1, characterized in that: The method of obtaining the accumulated horizontal monitoring displacement and historical period horizontal displacement of the measuring points in the deep inclinometer casing includes: Obtaining a periodic horizontal monitoring displacement sequence of a measuring point in the deep inclinometer casing; According to the periodic horizontal monitoring displacement sequence, the cumulative horizontal monitoring displacement is calculated using the following formula: in, Indicates the accumulated horizontal monitoring displacement, represents the i-th periodic horizontal monitoring displacement in the periodic horizontal monitoring displacement sequence, Indicates the total number of periodic level monitoring displacements in the periodic level monitoring displacement sequence; The horizontal monitoring displacement of the previous monitoring cycle is extracted from the cycle horizontal monitoring displacement sequence, and the horizontal monitoring displacement of the previous monitoring cycle is used as the historical cycle horizontal displacement, wherein the horizontal monitoring displacement of the previous monitoring cycle refers to the last cycle horizontal monitoring displacement in the cycle horizontal monitoring displacement sequence.

3. The three-dimensional monitoring method for deep horizontal displacement based on continuous points according to claim 2, characterized in that: The method of using the preset initial modulus coefficient and the initial angle coefficient to construct a horizontal displacement monitoring vector according to the accumulated horizontal monitoring displacement and the historical period horizontal displacement includes: According to the accumulated horizontal monitoring displacement and the initial modulus coefficient, the vector modulus is calculated using the following formula: in, represents the vector modulus, represents the initial modulus coefficient; According to the historical period horizontal displacement and the initial angle coefficient, the vector angle is calculated using the following formula: in, represents the vector angle, represents the horizontal displacement of the historical cycle, represents the initial angle factor; A horizontal displacement monitoring vector is drawn in the displacement monitoring coordinate system according to the vector modulus and the vector angle, wherein an angle between the horizontal displacement monitoring vector and the positive direction of the horizontal axis of the displacement monitoring coordinate system is equal to the vector angle.

4. The three-dimensional monitoring method for deep horizontal displacement based on continuous points according to claim 3 is characterized in that: The calculating the vector projection area of ​​the horizontal displacement monitoring vector in the pre-constructed displacement monitoring coordinate system includes: The vector projection area of ​​the horizontal displacement monitoring vector is calculated according to a pre-constructed area formula, wherein the area formula is as follows: in, Represents the projected area of ​​a vector.

5. The three-dimensional monitoring method for deep horizontal displacement based on continuous points according to claim 4, characterized in that: The calculating the iterative monitoring cycle according to the vector projection area comprises: The iterative monitoring period is calculated according to the vector projection area using the following formula: in, represents the iterative monitoring cycle, represents the period conversion factor, Represents a natural constant.

6. The three-dimensional monitoring method for deep horizontal displacement based on continuous points according to claim 2, characterized in that: The step of drawing a time series displacement curve of a measuring point according to the current period horizontal displacement includes: sequentially extracting periodic horizontal monitoring displacements from the periodic horizontal monitoring displacement sequence; Identifying the periodic node monitoring time of the periodic level monitoring displacement; According to the periodic node monitoring time and the periodic horizontal monitoring displacement, points are plotted in a pre-constructed measuring point time series coordinate system to obtain a periodic displacement monitoring node sequence, wherein the horizontal axis of the measuring point time series coordinate system represents the monitoring time, and the vertical axis represents the monitoring displacement; The periodic displacement monitoring node sequence is fitted and connected in sequence to obtain a measuring point time series displacement curve.

7. The three-dimensional monitoring method for deep horizontal displacement based on continuous points according to claim 6, characterized in that: The updating of the historical cycle horizontal displacement and the cumulative horizontal monitoring displacement according to the current cycle horizontal displacement includes: Taking the current cycle level displacement as the historical cycle level displacement; According to the current periodic horizontal displacement and the cumulative horizontal monitoring displacement, the current cumulative horizontal displacement is calculated using the following formula: in, Indicates the current accumulated horizontal displacement, Indicates the horizontal displacement of the current cycle; The accumulated horizontal monitoring displacement is updated using the current accumulated horizontal displacement.

8. The three-dimensional monitoring method for deep horizontal displacement based on continuous points according to claim 7, characterized in that: The method of drawing a two-dimensional plane diagram of horizontal displacement of the deep inclinometer casing according to the time-series displacement curves of the measuring points in the deep inclinometer casing comprises: Acquire a deep horizontal unit monitoring period, and calculate a horizontal displacement interception time series according to the deep horizontal unit monitoring period, wherein the horizontal displacement interception time in the horizontal displacement interception time series is equal to an integer multiple of the deep horizontal unit monitoring period; Sequentially extracting horizontal displacement interception times from the horizontal displacement interception time sequence; intercepting a measuring point horizontal displacement sequence in the measuring point time series coordinate system according to the horizontal displacement interception time, wherein the measuring point horizontal displacement sequence refers to a sequence composed of horizontal displacements of each measuring point in the deep inclinometer casing at the horizontal displacement interception time; Draw a deep horizontal displacement curve of the deep inclinometer casing at the horizontal displacement interception time according to the horizontal displacement sequence of the measuring points; The deep horizontal displacement curves of each horizontal displacement interception time are collected to obtain a two-dimensional plane diagram of the horizontal displacement of the deep inclinometer casing.

9. The three-dimensional monitoring method for deep horizontal displacement based on continuous points according to claim 8, characterized in that: The method of constructing a three-dimensional horizontal displacement map according to the two-dimensional horizontal displacement map of each deep-layer inclinometer casing comprises: Identifying the surface arrangement points of the deep inclinometer casings and the deep horizontal displacement curves of each deep inclinometer casing; Determine the xy plane point of the deep horizontal displacement curve in the pre-constructed three-dimensional deep horizontal displacement coordinate system according to the surface arrangement points; Identifying the surface endpoint of the deep horizontal displacement curve, translating the surface endpoint of the deep horizontal displacement curve to the xy plane point, and obtaining a three-dimensional horizontal displacement curve; The three-dimensional curves of horizontal displacement of each deep-layer inclinometer casing are collected to obtain a three-dimensional stereogram of horizontal displacement.

10. A three-dimensional monitoring system for deep horizontal displacement based on continuous points, characterized in that: The system comprises: The iterative monitoring cycle calculation module is used to obtain the cumulative horizontal monitoring displacement and the historical period horizontal displacement of the measuring point in the deep inclinometer casing, wherein the cumulative horizontal monitoring displacement refers to the cumulative horizontal displacement of the measuring point, and the historical period horizontal displacement refers to the horizontal monitoring displacement increased by the measuring point in the previous monitoring cycle; using the preset initial modulus coefficient and initial angle coefficient, a horizontal displacement monitoring vector is constructed according to the cumulative horizontal monitoring displacement and the historical period horizontal displacement, wherein the ratio of the vector modulus of the horizontal displacement monitoring vector to the cumulative horizontal monitoring displacement is the initial modulus coefficient, and the ratio of the vector angle to the historical period horizontal displacement is the initial angle coefficient; calculate the vector projection area of ​​the horizontal displacement monitoring vector in the pre-constructed displacement monitoring coordinate system, and calculate the iterative monitoring cycle according to the vector projection area, wherein the vector projection area is inversely proportional to the iterative monitoring cycle; A current cycle horizontal displacement monitoring module, used to perform horizontal displacement monitoring on the measuring points using the iterative monitoring cycle to obtain the current cycle horizontal displacement, wherein the measuring points are continuous points; The horizontal displacement cycle monitoring judgment module is used to judge whether the monitoring end instruction is received; if the monitoring end instruction is not received, the measuring point time series displacement curve is drawn according to the current cycle horizontal displacement; the historical cycle horizontal displacement and the cumulative horizontal monitoring displacement are updated according to the current cycle horizontal displacement, and the step of using the preset initial modulus coefficient and initial angle coefficient to construct the horizontal displacement monitoring vector according to the cumulative horizontal monitoring displacement and the historical cycle horizontal displacement is returned; The module for constructing a three-dimensional horizontal displacement map is used to draw a two-dimensional horizontal displacement map of the deep inclinometer casing according to the time-series displacement curve of the measuring points in the deep inclinometer casing if a monitoring end instruction is received, and to construct a three-dimensional horizontal displacement map according to the two-dimensional horizontal displacement maps of each deep inclinometer casing.

Images