Position deviation overrun determination method and system, device

Abstract

The embodiment of the present disclosure provides a position deviation overrun determination method, system and device. The position deviation overrun determination method comprises: acquiring position data of at least two monitoring points at two monitoring times respectively; acquiring first position deviation information between the position data of each monitoring point at the two monitoring times respectively; in response to the first position deviation information of the monitoring point existing satisfying a first deviation condition, determining that the monitoring point is a suspected overrun monitoring point; acquiring position distance information between the suspected overrun monitoring point and at least one other monitoring point at each monitoring time respectively, and obtaining second position deviation information between the position distance information at the two monitoring times; and in response to the second position deviation information satisfying a second deviation condition, determining that the suspected overrun monitoring point is an overrun monitoring point. Whether the suspected overrun monitoring point is due to data error or real overrun can be determined.

Description

Technical Field

[0001] This disclosure relates to the field of monitoring technology, and in particular to methods, systems, and equipment for determining excessive position deviations. Background Technology

[0002] Bridge piers, especially high piers, are a crucial component of bridge construction, directly impacting the overall quality of the bridge project. One key indicator for evaluating the quality and safety of pier construction is whether the pier location data exceeds the limits. Construction near railways, overpasses, or underpasses can affect the stability of railway bridges, roadbeds, and culverts, consequently impacting track smoothness and jeopardizing train safety. Therefore, monitoring of railway structures is essential during railway-related construction.

[0003] To understand the deformation of a structure, it is essential to monitor it. A conventional method involves placing prisms on the deformed body and a total station at a suitable location. The total station then observes the prisms and calculates the three-dimensional coordinates of the prism points, i.e., the monitoring points. However, due to the influence of the complex on-site environment, the measurement of bridge pier monitoring points in this technology is prone to errors. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, the purpose of this disclosure is to provide a method, system, and device for determining position deviation exceeding limits, and to solve the problems in the related art.

[0005] The first aspect of this disclosure provides a method for determining position deviation exceeding limits, including:

[0006] Acquire location data for at least two monitoring points at two monitoring times;

[0007] The first position deviation information of each monitoring point is obtained between the position data of each of the two monitoring times;

[0008] If the first position deviation information of the monitoring point satisfies the first deviation condition, the monitoring point is determined to be a suspected out-of-limit monitoring point.

[0009] The location spacing information between the suspected over-limit monitoring point and the location data of at least one other monitoring point at each monitoring time is obtained, and the second location deviation information between the location spacing information of two monitoring times is obtained.

[0010] In response to the second position deviation information satisfying the second deviation condition, the suspected over-limit monitoring point is determined to be an over-limit monitoring point.

[0011] In an embodiment of the first aspect, the location data includes a set of location coordinates on the three coordinate axes of a spatial coordinate system.

[0012] In an embodiment of the first aspect, the position coordinates include forward coordinates, lateral coordinates, and settlement coordinates.

[0013] In an embodiment of the first aspect, the first position deviation information includes a first forward coordinate difference, a first lateral coordinate difference, and a first settlement coordinate difference between two position data of the same monitoring point.

[0014] In an embodiment of the first aspect, the method determines the suspected over-limit monitoring point as an over-limit monitoring point in response to the second position deviation information satisfying the second deviation condition, including: in response to the fact that the sum of the square roots of the forward coordinate, lateral coordinate and settlement coordinate in the second position deviation information formed by the difference between the position spacing information of the two monitoring times does not exceed a preset deviation threshold, determining that the change in the position data of the suspected over-limit monitoring point is caused by environmental factors and does not exceed the limit.

[0015] In an embodiment of the first aspect, each of the location spacing information includes a forward spacing, a lateral spacing, and a settlement spacing; the difference includes: a second forward coordinate difference between two forward spacings, a second lateral coordinate difference between two lateral spacings, and a second settlement coordinate difference between two settlement spacings.

[0016] In an embodiment of the first aspect, the monitoring points are implemented as a plurality of points; the positional distance information between the suspected over-limit monitoring point and the positional data of the plurality of other monitoring points at each monitoring time is obtained respectively; the second positional deviation information is implemented as the sum of the square roots of the differences between the positional distance information corresponding to two monitoring times.

[0017] In an embodiment of the first aspect, the ambient temperature at the time of monitoring is acquired; the displacement of the monitoring point as the ambient temperature changes is calculated based on the ambient temperature; the displacement is used to correct the second position deviation information; and in response to the corrected second position deviation information satisfying the second deviation condition, the suspected over-limit monitoring point is determined to be an over-limit monitoring point.

[0018] A second aspect of this disclosure provides a monitoring system, comprising:

[0019] The image acquisition module is used to acquire location data of at least two monitoring points at two monitoring times;

[0020] The first determining module is used to determine whether the location data of each monitoring point meets the first deviation condition;

[0021] The second determining module is used to determine whether the second position deviation information between at least two of the monitoring points satisfies the first deviation condition.

[0022] A third aspect of this disclosure provides a computer device, including a memory and a processor; the processor and the memory are connected via a bus for communication; the memory may store program instructions; the processor executes the position deviation exceeding limit determination method by running the program instructions in the memory.

[0023] As described above, embodiments of this disclosure provide a method, system, and device for determining excessive position deviation. The method includes acquiring position data of at least two monitoring points at two monitoring times; acquiring first position deviation information between the position data of each monitoring point at the two monitoring times; determining a monitoring point as a suspected excessive monitoring point if the first position deviation information of the monitoring point satisfies a first deviation condition; acquiring position spacing information between the suspected excessive monitoring point and the position data of at least one other monitoring point at each monitoring time, and obtaining second position deviation information between the position spacing information of the two monitoring times; and determining the suspected excessive monitoring point as an excessive monitoring point if the second position deviation information satisfies a second deviation condition. The monitoring system includes an image acquisition module, a first determination module, and a second determination module. The image acquisition module is used to acquire position data of at least two monitoring points at two monitoring times. The first determination module is used to determine whether the position data of each monitoring point satisfies the first deviation condition. The second determination module is used to determine whether the second position deviation information between at least two monitoring points satisfies the first deviation condition. The device includes a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the position deviation exceeding the limit determination method. The determination method of this disclosure, through the coordinate difference between at least two monitoring points, can determine whether the suspected exceeding-limit monitoring point is due to data error or a genuine exceeding of the limit. Attached Figure Description

[0024] Figure 1 The diagram shown is a flowchart illustrating the steps of an embodiment of this disclosure.

[0025] Figure 2 The diagram shows a layout where four monitoring points are implemented.

[0026] Figure 3 The diagram shown is a structural schematic of the monitoring system in an embodiment of this disclosure;

[0027] Figure 4 The diagram shown is a schematic diagram of the specific structure of a computer device in one embodiment of this disclosure.

[0028] Figure label:

[0029] 30. Monitoring system; 31. Image acquisition module; 32. First determination module; 33. Second determination module;

[0030] 40. Computer equipment; 401. Bus; 402. Processor; 403. Memory. Detailed Implementation

[0031] The following specific examples illustrate the implementation of this disclosure. Those skilled in the art can easily understand other advantages and effects of this disclosure from the information disclosed herein. This disclosure can also be implemented or applied through other different specific embodiments, and various details in this disclosure can be modified or changed according to different viewpoints and application modules without departing from the spirit of this disclosure. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this disclosure can be combined with each other.

[0032] The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings, so that those skilled in the art to which this disclosure pertains can readily implement it. This disclosure may be embodied in many different forms and is not limited to the embodiments described herein.

[0033] In this disclosure, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic represented in connection with that embodiment or example is included in at least one embodiment or example of this disclosure. Furthermore, the specific features, structures, materials, or characteristics represented may be combined in any suitable manner in any one or a group of embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples represented in this disclosure, as well as the features of those different embodiments or examples.

[0034] Furthermore, the terms "first" and "second" are used for illustrative purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the representation of this disclosure, "a set" means two or more, unless otherwise explicitly specified.

[0035] For the purpose of clarity, devices unrelated to the description are omitted, and the same or similar components throughout the specification are given the same reference numerals.

[0036] Throughout this specification, when it is said that a device is "connected" to another device, this includes not only "direct connection" but also "indirect connection" by placing other components in between. Furthermore, when it is said that a device "comprises" a certain constituent element, unless otherwise stated otherwise, this does not exclude other constituent elements, but rather implies that other constituent elements may be included.

[0037] While the terms first, second, etc., are used in some examples herein to refer to various elements, these elements should not be limited by these terms. These terms are used only to distinguish one element from another. For example, first interface and second interface, etc., are used. Furthermore, as used herein, the singular forms “a,” “an,” and “the” are intended to also include the plural forms unless the context indicates otherwise. It should be further understood that the terms “comprising,” “including,” indicate the presence of the stated feature, step, operation, element, module, item, kind, and / or group, but do not exclude the presence, occurrence, or addition of one or more other features, steps, operations, elements, modules, items, kinds, and / or groups. The terms “or” and “and / or” as used herein are interpreted as inclusive, or mean any one or any combination thereof. Thus, “A, B, or C” or “A, B, and / or C” means “any one of: A; B; C; A and B; A and C; B and C; A, B, and C.” Exceptions to this definition will only occur if the combination of elements, functions, steps, or operations is inherently mutually exclusive in some way.

[0038] The technical terms used herein are for reference only to specific embodiments and are not intended to limit the scope of this disclosure. The singular form used herein includes the plural form unless the statement explicitly indicates otherwise. The word "comprising" as used in this specification means to specify a particular characteristic, region, integer, step, operation, element, and / or component, and does not exclude the presence or addition of other characteristics, regions, integers, steps, operations, elements, and / or components.

[0039] Although not explicitly defined, all terms, including technical and scientific terms used herein, shall have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. Terms defined in commonly used dictionaries shall be further interpreted as having a meaning consistent with the relevant technical literature and the message of the present disclosure, and shall not be over-interpreted as having an ideal or overly formulaic meaning unless otherwise defined.

[0040] Bridge piers, especially high piers, are a crucial component of bridge construction, directly impacting the overall quality of the bridge project. One key indicator for evaluating the quality and safety of pier construction is whether the pier location data exceeds the limits. Construction near railways, overpasses, or underpasses can affect the stability of railway bridges, roadbeds, and culverts, consequently impacting track smoothness and jeopardizing train safety. Therefore, monitoring of railway structures is essential during railway-related construction.

[0041] To understand the deformation of a structure, it is essential to monitor it. A conventional method involves placing prisms on the deformed body and a total station at a suitable location. The total station then observes the prisms and calculates the three-dimensional coordinates of the prism points, i.e., the monitoring points. However, due to the influence of the complex on-site environment, the measurement of bridge pier monitoring points in this technology is prone to errors.

[0042] Based on the above problems, the determination method of this disclosure can determine whether the suspected over-limit monitoring point is affected by the minor external environment or whether a deviation has actually occurred by using the coordinate difference between at least two monitoring points.

[0043] Figure 1 The diagram shown is a flowchart illustrating the steps of an embodiment of this disclosure. Figure 1 In the example, the method for determining excessive position deviation includes the following steps:

[0044] S1: Obtain the location data of at least two monitoring points at two monitoring times.

[0045] The specific steps are as follows:

[0046] 1) Monitoring points are set up on the surface of the building to be measured, such as the surface of a bridge pier, and optical markers, such as prisms, are set up at the monitoring points. The working principle of the prism is based on the laws of reflection and refraction of light. When the total station emits light signals, the prism receives these signals and reflects them accurately back to the total station, thereby calculating the distance between the instrument and the prism. In other embodiments, the building to be measured can also be implemented as a wall surface.

[0047] 2) Set up a total station at a suitable distance from the bridge pier and observe the prism using the total station;

[0048] 3) Collect image information for each monitoring point and convert it into spatial coordinates in the same coordinate system.

[0049] As will be understood by those skilled in the art, a total station is a measurement platform integrating automatic target recognition, automatic target tracking, automatic aiming, automatic angle and distance measurement, and automatic recording. The basic characteristics of a measuring robot are a power drive system, a CCD (charge-coupled device) camera, and corresponding target recognition software. During measurement, the robot initially roughly aims at the target and issues commands to it via software. The CCD camera in the robot automatically performs logical analysis on the returned signal using the target recognition software, accurately determining the position of the prism center. Then, automatic measurement, automatic recording, and automatic data transmission are performed. For subsequent measurements, only a command is needed, and the total station activates the servo motor drive software to automatically complete a series of measurements.

[0050] S2: Obtain the first position deviation information between the position data of each monitoring point at the two monitoring times.

[0051] For example, the location data includes a set of location coordinates on the three coordinate axes of a spatial coordinate system.

[0052] The location coordinates include forward coordinates, lateral coordinates, and settlement coordinates. The first location deviation information is implemented as a first forward coordinate difference, a first lateral coordinate difference, and a first settlement coordinate difference between two location data points of the same monitoring point.

[0053] S3: In response to the first position deviation information of the monitoring point satisfying the first deviation condition, the monitoring point is determined to be a suspected out-of-limit monitoring point;

[0054] For example, the first deviation condition for conventional railway equipment is ±2.4mm, while the first deviation condition for high-speed railway equipment is ±1.6mm. The reason for the difference in the first deviation condition between conventional and high-speed railways is that the speed of high-speed railways is much greater than that of conventional railways. Therefore, even a small settlement will cause the train to bump and shake during operation, affecting driving safety and comfort. High-speed railways use ballastless track, which lacks the elastic buffering of ballasted track. Once the roadbed or bridge piers settle, it cannot be adapted by adjusting the track bed as with ballasted track. Therefore, the control of settlement is more stringent, requiring a lower settlement rate.

[0055] When at least one of the first forward coordinate difference, the first lateral coordinate difference, and the first settlement coordinate difference in the first position deviation information of one of the monitoring points reaches the first deviation condition, the monitoring point is determined to be a suspected over-limit monitoring point.

[0056] In other embodiments, when two or three of the first forward coordinate difference, the first lateral coordinate difference, and the first settlement coordinate difference reach the first deviation condition, the monitoring point can be directly determined as a suspected over-limit monitoring point without the need for subsequent monitoring data verification steps. At this time, an alarm needs to be triggered, and the alarm response is to stop construction and prohibit trains or high-speed trains from passing.

[0057] When any of the first forward coordinate difference, the first lateral coordinate difference, and the first settlement coordinate difference reaches the first deviation condition, the following steps need to be implemented to complete the verification of the monitoring data. Because the bridge pier is a whole, any changes should occur together. In addition to changing the same monitoring point, it is also necessary to link the data with other monitoring points to eliminate abnormal influencing factors, such as monitoring point loosening, instrument errors, actual construction impacts, and meteorological conditions (atmospheric refraction, inconsistent monitoring point heights, temperature effects, etc.).

[0058] S4: Obtain the positional distance information between the suspected over-limit monitoring point and the positional data of at least one other monitoring point at each monitoring time, and obtain the second positional deviation information between the positional distance information of the two monitoring times.

[0059] For example, the method determines the suspected over-limit monitoring point as an over-limit monitoring point in response to the second position deviation information satisfying the second deviation condition, including: in response to the fact that the sum of the square roots of the forward coordinate, lateral coordinate and settlement coordinate in the second position deviation information formed by the difference between the position spacing information of the two monitoring times does not exceed a preset deviation threshold, determining that the change in the position data of the suspected over-limit monitoring point is caused by environmental factors and does not exceed the limit.

[0060] As further exemplarily, each of the location spacing information includes a forward spacing, a lateral spacing, and a settlement spacing; the difference includes: a second forward coordinate difference between two forward spacings, a second lateral coordinate difference between two lateral spacings, and a second settlement coordinate difference between two settlement spacings.

[0061] Those skilled in the art will understand that monitoring and calculating the square root sum of the coordinate differences over different time periods is necessary. If the square root sum does not exceed a preset deviation threshold within a certain period, it indicates that the positional changes of the monitoring points on the bridge piers are relatively stable, and the fluctuations may be caused by normal minor environmental factors. If the square root sum exceeds the preset deviation threshold, it indicates that the offset of the monitoring points may be changing, and further investigation is needed to determine the cause.

[0062] The advantage of the above-mentioned setup is that this monitoring of offset stability helps to promptly detect potential safety hazards. For example, during the normal operation of a bridge, the trend of the square root sum of the coordinate differences of monitoring points can be analyzed periodically. When the square root sum exceeds a preset deviation threshold, timely detection and maintenance measures can be taken to prevent safety accidents from occurring.

[0063] S5: In response to the second position deviation information satisfying the second deviation condition, the suspected over-limit monitoring point is determined to be an over-limit monitoring point.

[0064] When the second positional deviation information, which is implemented as the sum of square roots, reaches the second deviation condition, the suspected over-limit monitoring point is determined as the confirmed over-limit monitoring point.

[0065] The determination method of this disclosure can determine whether the suspected over-limit monitoring point is affected by minor external environmental factors or a genuine deviation by using the coordinate difference between at least two monitoring points.

[0066] In step S5, the influence of temperature on pier displacement also needs to be considered, mainly reflected in the linear expansion and contraction deformation of the pier caused by temperature changes. By identifying the pattern of linear expansion and contraction deformation of the pier due to temperature changes, the initial height difference measurement can be corrected based on this deformation pattern when subsequently measuring the height difference between the two forced midpoints on and under the bridge.

[0067] Bridge piers are mainly made of reinforced concrete. The linear change of temperature in reinforced concrete can indirectly reflect the change of temperature in bridge piers.

[0068] The linear temperature variation law of reinforced concrete bridge piers can be expressed by the following formula:

[0069] Δh = Δt * h * a

[0070] In the formula: Δh — the change in the bridge pier due to temperature;

[0071] Δt — temperature change;

[0072] h — Height of the pier between the two mandatory centering points on and under the bridge;

[0073] a——Coefficient of linear expansion of reinforced concrete.

[0074] The coefficient of linear expansion of reinforced concrete is quite close to that of steel reinforcement, with the theoretical coefficient of linear expansion of steel reinforcement being 1.2 × 10⁻⁵ / ℃. However, when using this formula, it is necessary to verify it based on actual conditions and determine an appropriate value for the coefficient of linear expansion.

[0075] Therefore, after eliminating the influencing factors of displacement change, it is possible to distinguish whether the data exceeding the limit at one monitoring point can determine whether the bridge pier has changed. Figure 2 The diagram shows a layout with four monitoring points. Based on Figure 2 In step S4 of the embodiment, the monitoring points are implemented as four (e.g., monitoring points 1, 2, 3 and 4), and the four monitoring points are rectangularly distributed on the same wall of the pier.

[0076] For example, when the first settlement coordinate difference in the first position deviation information of monitoring point 1 meets the first deviation condition and is determined to be the suspected over-limit monitoring point, it is compared with monitoring point 2 which is in the same settlement coordinate; that is, the positional distance information between monitoring point 1 and the position data of monitoring point 2 at each monitoring time is obtained, and the second positional deviation information between the positional distance information of the two monitoring times is obtained; when the second positional deviation information meets the second deviation condition, monitoring point 1 is determined to be an over-limit monitoring point.

[0077] When the first lateral coordinate difference in the first position deviation information of the monitoring point 1 meets the first deviation condition and is determined to be the suspected over-limit monitoring point, it is compared with the monitoring point 3 which is in the same lateral coordinate; that is, the positional distance information between the monitoring point 1 and the position data of the monitoring point 3 at each monitoring time is obtained, and the second positional deviation information between the positional distance information of the two monitoring times is obtained; when the second positional deviation information meets the second deviation condition, the monitoring point 1 is determined to be an over-limit monitoring point.

[0078] When at least two of the first position deviation information of monitoring point 1 meet the first deviation condition and are determined to be the suspected over-limit monitoring point, it is compared with monitoring point 4 located at the other end of the diagonal; that is, the position spacing information between monitoring point 1 and the position data of monitoring point 4 at each monitoring time is obtained, and the second position deviation information between the position spacing information of the two monitoring times is obtained; when the second position deviation information meets the second deviation condition, monitoring point 1 is determined to be an over-limit monitoring point.

[0079] It is understood that when one of the first position deviation information of monitoring point 2, 3 or 4 meets the first deviation condition, monitoring can be carried out in accordance with the above content, so it will not be elaborated here.

[0080] In another embodiment, the square root sum of the same coordinates of multiple monitoring points can also be calculated. For example, the square root sum of the forward, lateral, or settlement coordinates of monitoring points 1, 2, 3, and 4 at two different monitoring times can be calculated. By comparing the actual calculated square root sum with a threshold, it can be determined whether the offset of the monitoring points is within an acceptable range. If the calculated square root sum exceeds the set threshold, it indicates that the offset of the coordinate values ​​of multiple monitoring points in the same direction is relatively serious, which may have already threatened the structural safety of the bridge piers. Immediate measures need to be taken, such as conducting detailed structural inspections and reinforcing the bridge piers.

[0081] Figure 3 The diagram shown is a structural schematic of the monitoring system in an embodiment of this disclosure. Figure 3 In the example, the monitoring system 30 includes an image acquisition module 31, a first determination module 32, and a second determination module 33. The image acquisition module 31 is used to acquire position data of at least two monitoring points at two monitoring times. The first determination module 32 is used to determine whether the position data of each monitoring point satisfies a first deviation condition. The second determination module 33 is used to determine whether the second position deviation information between at least two monitoring points satisfies the first deviation condition.

[0082] Figure 4 The diagram shown is a schematic representation of the specific structure of a computer device according to an embodiment of this disclosure. Figure 4 In this example, another embodiment of the present disclosure provides a computer device 40, including a bus 401, a processor 402, and a memory 403. The processor 402 and the memory 403 can communicate with each other via the bus 401. The memory 403 can store program instructions. The processor 402 executes the position deviation exceeding limit determination method by running the program instructions in the memory 403.

[0083] Bus 401 can be a Peripheral Component Interconnect (PCI) bus 401 or an Extended Industry Standard Architecture (EISA) bus 401, etc. Bus 401 can be divided into address bus 401, data bus 401, control bus 401, etc. For ease of illustration, although it is represented by only one thick line in the figure, it does not mean that there is only one bus 401 or one type of bus 401.

[0084] In some embodiments, processor 402 may be implemented as a central processing unit (CPU), a microprocessor unit (MCU), a system-on-chip (System-on-Chip), or a field-programmable array (FPGA). Memory 403 may include volatile memory for temporary data storage during program execution, such as random access memory (RAM).

[0085] The memory 403 may also include non-volatile memory for data storage, such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid-state disk (SSD).

[0086] In some embodiments, the computer device may further include a communicator 404. The communicator 404 is used for communication with external devices. In specific examples, the communicator 404 may include one or more wired and / or wireless communication circuit modules. For example, the communicator 404 may include one or more of, such as a wired network card, a USB module, a serial interface module, etc. The wireless communication protocols followed by the wireless communication module include, for example, Nearfield Communication (NFC) technology, Infrared (IR) technology, Global System for Mobile Communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Time-Division Code Division Multiple Access (TD-SCDMA), Long Term Evolution (LTE), Bluetooth (BT), Global Navigation Satellite System (GNSS), etc.

[0087] In summary, this disclosure provides a method, system, and device for determining excessive position deviation. The method includes acquiring position data of at least two monitoring points at two monitoring times; acquiring first position deviation information between the position data of each monitoring point at the two monitoring times; determining a monitoring point as a suspected excessive monitoring point if the first position deviation information of the monitoring point satisfies a first deviation condition; acquiring position spacing information between the suspected excessive monitoring point and the position data of at least one other monitoring point at each monitoring time, and obtaining second position deviation information between the position spacing information of the two monitoring times; and determining the suspected excessive monitoring point as an excessive monitoring point if the second position deviation information satisfies a second deviation condition. The monitoring system includes an image acquisition module, a first determination module, and a second determination module. The image acquisition module is used to acquire position data of at least two monitoring points at two monitoring times. The first determination module is used to determine whether the position data of each monitoring point satisfies the first deviation condition. The second determination module is used to determine whether the second position deviation information between at least two monitoring points satisfies the first deviation condition. The device includes a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the position deviation exceeding the limit determination method. The determination method of this disclosure, through the coordinate difference between at least two monitoring points, can determine whether the suspected exceeding-limit monitoring point is due to the influence of minor external environmental factors or a genuine deviation has occurred.

[0088] The above embodiments are merely illustrative of the principles and effects of this disclosure and are not intended to limit this disclosure. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this disclosure. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this disclosure should still be covered by the protection scope of this disclosure.

Claims

1. A method for determining position deviation exceeding limits, characterized in that, The method for determining whether there are any monitoring points with excessive positional deviations among multiple preset monitoring points on a building under test includes: Acquire location data for at least two monitoring points at two monitoring times; First position deviation information is obtained between the position data of at least two monitoring points at two monitoring times; the first position deviation information includes a first forward coordinate difference, a first lateral coordinate difference, and a first settlement coordinate difference between the two position data of the same monitoring point. In response to the first position deviation information of the monitoring point satisfying the first deviation condition, the monitoring point is determined to be a suspected over-limit monitoring point; the first deviation condition is defined as a threshold for whether the coordinate difference of the monitoring point exceeds the limit when it undergoes longitudinal, lateral or settlement movement. The location spacing information between the suspected over-limit monitoring points and the location data of at least one other monitoring point at each monitoring time is obtained, and the second location deviation information between the location spacing information of two monitoring times is obtained. In response to the second position deviation information satisfying the second deviation condition, the suspected over-limit monitoring point is determined to be an over-limit monitoring point, including: in response to the fact that the sum of the square roots of the forward coordinate, lateral coordinate and settlement coordinate in the second position deviation information formed by the difference between the position spacing information of the two monitoring times does not exceed the preset deviation threshold defined by the second deviation condition, the change in the position data of the suspected over-limit monitoring point is determined to be caused by environmental factors and does not exceed the limit; Each of the location spacing information includes forward spacing, lateral spacing, and settlement spacing; the difference includes: a second forward coordinate difference between two forward spacings, a second lateral coordinate difference between two lateral spacings, and a second settlement coordinate difference between two settlement spacings; the second location deviation information is implemented as the square root sum of the differences between the location spacing information corresponding to two monitoring times.

2. The method for determining position deviation exceeding limits according to claim 1, characterized in that, The location data includes a set of location coordinates on the three coordinate axes of the spatial coordinate system.

3. The method for determining position deviation exceeding limits according to claim 2, characterized in that, The location coordinates include forward coordinates, lateral coordinates, and settlement coordinates.

4. The method for determining position deviation exceeding limits according to claim 1, characterized in that, The ambient temperature at the time of monitoring is obtained; based on the ambient temperature, the displacement of the monitoring point as the ambient temperature changes is calculated; the displacement is used to correct the second position deviation information; in response to the corrected second position deviation information satisfying the second deviation condition, the suspected over-limit monitoring point is determined to be an over-limit monitoring point.

5. A monitoring system for implementing the method for determining position deviation exceeding limits according to any one of claims 1-4, characterized in that, The monitoring system includes: The image acquisition module is used to acquire location data of at least two monitoring points at two monitoring times; The first determining module is used to determine whether the location data of each monitoring point meets the first deviation condition; The second determining module is used to determine whether the second position deviation information between at least two of the monitoring points satisfies the first deviation condition.

6. A computer device, characterized in that, It includes a memory and a processor; the processor and the memory are connected via a bus; the memory stores program instructions; the processor executes the position deviation exceeding the limit determination method as described in any one of claims 1-4 by running the program instructions in the memory.

Images