CN115574732A - Foundation pit detection method and detection system - Google Patents
Foundation pit detection method and detection system Download PDFInfo
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- CN115574732A CN115574732A CN202211568265.2A CN202211568265A CN115574732A CN 115574732 A CN115574732 A CN 115574732A CN 202211568265 A CN202211568265 A CN 202211568265A CN 115574732 A CN115574732 A CN 115574732A
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Abstract
The invention relates to the technical field of foundation pit detection, and particularly discloses a foundation pit detection method and a foundation pit detection system. The method comprises the steps of acquiring foundation pit detection data acquired and sent by an unmanned aerial vehicle, and constructing a foundation pit three-dimensional model according to the foundation pit detection data; selecting a detection position and a plurality of characteristic positions according to the foundation pit three-dimensional model, and calculating relative position data between the detection position and the plurality of characteristic positions; acquiring meteorological environment data at a foundation pit, and adjusting and acquiring a corresponding foundation pit detection period according to the meteorological environment data; according to the foundation pit detection period, periodically detecting a plurality of characteristic positions at the detection position to generate periodic detection data; and analyzing the periodic detection data based on the relative position data, and judging whether dangerous deformation exists or not. The foundation pit three-dimensional model can be constructed, the detection position and the multiple characteristic positions are selected, and high-precision foundation pit detection of periodic dynamic adjustment is carried out, so that timely early warning of foundation pit danger can be realized.
Description
Technical Field
The invention belongs to the technical field of foundation pit detection, and particularly relates to a foundation pit detection method and a foundation pit detection system.
Background
The foundation pit is a soil pit excavated at the design position of the foundation according to the elevation of the foundation and the plane size of the foundation. Before excavation, an excavation scheme is determined according to geological and hydrological data and the conditions of buildings nearby the site, and waterproof drainage work is well done. When a building is excavated deeply and nearby, the method of supporting the foundation pit wall, the method of protecting the wall by spraying concrete, the method of interlocking a large foundation pit even by adopting an underground continuous wall and column type cast-in-situ bored piles and the like can be used for preventing the outside soil layer from collapsing.
With the improvement of living standard and the development of urban civilization, high-rise and super high-rise buildings are continuously developed, and the depth of a foundation pit is deeper and deeper, so that the foundation pit detection is particularly important for the safety of building engineering. The existing foundation pit detection method generally adopts a manual detection or camera detection mode, the precision of foundation pit detection is not high, danger can be found only when the foundation pit has large deformation, high-precision detection can not be carried out on the foundation pit, and timely early warning of the foundation pit danger can not be realized.
Disclosure of Invention
The embodiment of the invention aims to provide a foundation pit detection method and a foundation pit detection system, and aims to solve the problems in the background art.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
a foundation pit detection method specifically comprises the following steps:
acquiring foundation pit detection data acquired and sent by an unmanned aerial vehicle, and constructing a foundation pit three-dimensional model according to the foundation pit detection data;
selecting a detection position and a plurality of characteristic positions according to the foundation pit three-dimensional model, and calculating relative position data between the detection position and the plurality of characteristic positions;
acquiring meteorological environment data at a foundation pit, and adjusting and acquiring a corresponding foundation pit detection period according to the meteorological environment data;
according to the foundation pit detection period, periodically detecting a plurality of characteristic positions at the detection positions to generate periodic detection data;
and analyzing the periodic detection data based on the relative position data, and judging whether dangerous deformation exists or not.
As a further limitation of the technical solution of the embodiment of the present invention, the acquiring of the foundation pit detection data acquired and sent by the unmanned aerial vehicle, and the constructing of the three-dimensional foundation pit model according to the foundation pit detection data specifically include the following steps:
acquiring radar detection data acquired and sent by an unmanned aerial vehicle;
constructing a basic three-dimensional model of the foundation pit according to the radar detection data;
acquiring foundation pit shooting data collected and sent by an unmanned aerial vehicle;
and rendering the basic three-dimensional model according to the foundation pit shooting data to generate a foundation pit three-dimensional model.
As a further limitation of the technical solution of the embodiment of the present invention, selecting a detection position and a plurality of feature positions according to the three-dimensional model of the foundation pit, and calculating relative position data between the detection position and the plurality of feature positions specifically includes the following steps:
performing feature analysis on the foundation pit three-dimensional model, and determining a feature side and a detection side;
selecting a plurality of characteristic positions from the characteristic side according to the foundation pit three-dimensional model;
selecting a detection position from the detection side surface based on a plurality of feature positions;
relative position data between the detected position and the plurality of feature positions is calculated.
As a further limitation of the technical solution of the embodiment of the present invention, the acquiring meteorological environment data at the foundation pit, and adjusting and acquiring the corresponding foundation pit detection period according to the meteorological environment data specifically include the following steps:
acquiring a preset standard detection period;
acquiring meteorological environment data at a foundation pit;
analyzing the meteorological environment data, and matching corresponding periodic factors;
and adjusting the standard detection period according to the period factors to obtain the foundation pit detection period.
As a further limitation of the technical solution of the embodiment of the present invention, the periodically detecting the plurality of feature positions at the detection position according to the foundation pit detection period, and generating the periodic detection data specifically includes the following steps:
generating a corresponding periodic detection signal according to the foundation pit detection period;
according to the periodic detection signal, periodically shooting a plurality of characteristic positions at the detection position to generate periodic shooting data;
according to the periodic detection signal, carrying out periodic ranging on a plurality of characteristic positions at the detection position to generate periodic ranging data;
and integrating the periodic shooting data and the periodic ranging data to generate periodic detection data.
As a further limitation of the technical solution of the embodiment of the present invention, the analyzing the periodic detection data based on the relative position data to determine whether there is dangerous deformation specifically includes the following steps:
calculating the periodic displacement distance of a plurality of characteristic positions according to the periodic detection data and the relative position data;
comparing the plurality of periodic displacement distances with a preset safety distance, and judging whether the periodic displacement distance is larger than the safety distance;
when the periodic displacement distance is larger than the safety distance, marking the corresponding characteristic position as a dangerous deformation position;
and generating a corresponding early warning signal according to the dangerous deformation position, and carrying out early warning and alarming.
A foundation pit detection system comprises a three-dimensional model building unit, a relative position analysis unit, a detection period acquisition unit, a foundation pit period detection unit and a danger judgment processing unit, wherein:
the three-dimensional model building unit is used for obtaining foundation pit detection data collected and sent by the unmanned aerial vehicle and building a foundation pit three-dimensional model according to the foundation pit detection data;
the relative position analysis unit is used for selecting a detection position and a plurality of characteristic positions according to the foundation pit three-dimensional model and calculating relative position data between the detection position and the plurality of characteristic positions;
the detection period acquisition unit is used for acquiring meteorological environment data at the foundation pit and adjusting and acquiring a corresponding foundation pit detection period according to the meteorological environment data;
a foundation pit period detection unit, configured to perform periodic detection on the plurality of feature positions at the detection position according to the foundation pit detection period, and generate period detection data;
and the danger judgment processing unit is used for analyzing the periodic detection data based on the relative position data and judging whether dangerous deformation exists or not.
As a further limitation of the technical solution of the embodiment of the present invention, the three-dimensional model building unit specifically includes:
the detection acquisition module is used for acquiring radar detection data acquired and sent by the unmanned aerial vehicle;
the model construction module is used for constructing a basic three-dimensional model of the foundation pit according to the radar detection data;
the shooting acquisition module is used for acquiring foundation pit shooting data acquired and sent by the unmanned aerial vehicle;
and the model rendering module is used for rendering the basic three-dimensional model according to the foundation pit shooting data to generate a foundation pit three-dimensional model.
As a further limitation of the technical solution of the embodiment of the present invention, the relative position analyzing unit specifically includes:
the characteristic analysis module is used for carrying out characteristic analysis on the foundation pit three-dimensional model and determining a characteristic side face and a detection side face;
the first selection module is used for selecting a plurality of characteristic positions from the characteristic side surface according to the foundation pit three-dimensional model;
a second selection module, configured to select a detection position from the detection side based on a plurality of feature positions;
and the relative calculation module is used for calculating relative position data between the detection position and the plurality of characteristic positions.
As a further limitation of the technical solution of the embodiment of the present invention, the detection period acquiring unit specifically includes:
the standard acquisition module is used for acquiring a preset standard detection period;
the weather acquisition module is used for acquiring weather environment data at the foundation pit;
the factor matching module is used for analyzing the meteorological environment data and matching corresponding periodic factors;
and the period adjusting module is used for adjusting the standard detection period according to the period factors to obtain the foundation pit detection period.
Compared with the prior art, the invention has the beneficial effects that:
according to the embodiment of the invention, the foundation pit detection data acquired and sent by the unmanned aerial vehicle is acquired, and the foundation pit three-dimensional model is constructed according to the foundation pit detection data; selecting a detection position and a plurality of characteristic positions according to the three-dimensional model of the foundation pit, and calculating relative position data between the detection position and the plurality of characteristic positions; acquiring meteorological environment data at a foundation pit, and adjusting and acquiring a corresponding foundation pit detection period according to the meteorological environment data; according to the foundation pit detection period, periodically detecting a plurality of characteristic positions at the detection position to generate periodic detection data; and analyzing the periodic detection data based on the relative position data, and judging whether dangerous deformation exists or not. The method has the advantages that a three-dimensional model of the foundation pit can be constructed, the detection position and the characteristic positions are selected, and high-precision foundation pit detection with periodic dynamic adjustment is carried out, so that timely early warning of foundation pit danger can be realized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Fig. 2 shows a flowchart for constructing a three-dimensional model of a foundation pit in the method provided by the embodiment of the invention.
Fig. 3 shows a flowchart of calculating relative position data in the method provided by the embodiment of the invention.
Fig. 4 shows a flowchart for acquiring a foundation pit detection period in the method provided by the embodiment of the invention.
Fig. 5 shows a flowchart of generating cycle check data in the method provided by the embodiment of the present invention.
Fig. 6 shows a flowchart of the risk judgment and early warning processing in the method provided by the embodiment of the present invention.
Fig. 7 is a diagram illustrating an application architecture of a system provided by an embodiment of the invention.
Fig. 8 shows a block diagram of a three-dimensional model building unit in the system according to the embodiment of the present invention.
Fig. 9 is a block diagram illustrating a structure of a relative position analyzing unit in the system according to the embodiment of the present invention.
Fig. 10 shows a block diagram of a detection cycle acquiring unit in the system according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
It can be understood that, among the prior art of foundation pit detection, what adopt usually is the mode that artifical detection or detection of making a video recording, and the precision that these two kinds of foundation pits detected is not high, often when having very big foundation pit deformation, just can discover the dangerous state of foundation pit, can't carry out the detection of high accuracy to the foundation pit, can not realize the dangerous timely early warning of foundation pit.
In order to solve the problems, the embodiment of the invention constructs a foundation pit three-dimensional model according to foundation pit detection data by acquiring the foundation pit detection data acquired and sent by the unmanned aerial vehicle; selecting a detection position and a plurality of characteristic positions according to the foundation pit three-dimensional model, and calculating relative position data between the detection position and the plurality of characteristic positions; acquiring meteorological environment data at a foundation pit, and adjusting and acquiring a corresponding foundation pit detection period according to the meteorological environment data; according to the foundation pit detection period, periodically detecting a plurality of characteristic positions at the detection position to generate periodic detection data; and analyzing the periodic detection data based on the relative position data, and judging whether dangerous deformation exists or not. The method has the advantages that a three-dimensional model of the foundation pit can be constructed, the detection position and the characteristic positions are selected, and high-precision foundation pit detection with periodic dynamic adjustment is carried out, so that timely early warning of foundation pit danger can be realized.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Specifically, in a preferred embodiment provided by the present invention, a method for detecting a foundation pit specifically includes the following steps:
and S101, acquiring foundation pit detection data acquired and sent by the unmanned aerial vehicle, and constructing a foundation pit three-dimensional model according to the foundation pit detection data.
In the embodiment of the invention, after the foundation pit is constructed, the unmanned aerial vehicle is used for carrying out foundation pit shooting and radar detection on the foundation pit, the unmanned aerial vehicle is used for uploading relevant data after the unmanned aerial vehicle finishes the work of the foundation pit shooting and radar detection, the radar detection data and the foundation pit shooting data which are acquired and sent by the unmanned aerial vehicle are obtained at the moment, the radar detection data are subjected to foundation pit morphological analysis to construct a basic three-dimensional model of the foundation pit, and then the basic three-dimensional model is subjected to color rendering and relevant detail rendering according to the foundation pit shooting data to generate the foundation pit three-dimensional model reflecting the actual condition of the foundation pit.
Specifically, fig. 2 shows a flowchart for constructing a three-dimensional model of a foundation pit in the method provided by the embodiment of the invention.
In an embodiment of the present invention, the acquiring the foundation pit detection data collected and sent by the unmanned aerial vehicle, and constructing the three-dimensional foundation pit model according to the foundation pit detection data specifically includes the following steps:
step S1011, radar detection data acquired and sent by the unmanned aerial vehicle is acquired.
And step S1012, constructing a basic three-dimensional model of the foundation pit according to the radar detection data.
And S1013, acquiring foundation pit shooting data acquired and sent by the unmanned aerial vehicle.
And S1014, rendering the basic three-dimensional model according to the foundation pit shooting data to generate a foundation pit three-dimensional model.
Further, the foundation pit detection method further comprises the following steps:
and S102, selecting a detection position and a plurality of characteristic positions according to the foundation pit three-dimensional model, and calculating relative position data between the detection position and the plurality of characteristic positions.
In the embodiment of the invention, the side face of the foundation pit with more features is marked as the feature side face by performing feature analysis on the three-dimensional model of the foundation pit, the side face of the foundation pit opposite to the feature side face is marked as the detection side face, the feature side face is selected to determine a plurality of positions with feature forms and is marked as the feature positions, so that a plurality of feature positions are obtained, the detection positions capable of effectively detecting the plurality of feature positions simultaneously are selected from the detection side face opposite to the detection side face according to the distribution condition of the plurality of feature positions, and the relative spatial distance between the detection positions and the plurality of feature positions is calculated based on the three-dimensional model of the foundation pit, so that the relative position data is obtained.
It can be understood that the foundation pit detected in the embodiment of the invention is of a cubic structure, the projection from top to bottom is a rectangle, and the characteristic side face and the detection side face correspond to the positions of two long sides of the rectangle; the feature position is a position having a feature shape in the feature side, and an object corresponding to the feature shape does not easily change, for example: cement structure end, engineering nameplate, support wall marking and the like.
Specifically, fig. 3 shows a flowchart for calculating relative position data in the method provided by the embodiment of the present invention.
In an embodiment of the present invention, the selecting a detection position and a plurality of feature positions according to the three-dimensional model of the foundation pit, and calculating relative position data between the detection position and the plurality of feature positions specifically includes the following steps:
and S1021, performing characteristic analysis on the foundation pit three-dimensional model, and determining a characteristic side face and a detection side face.
And S1022, selecting a plurality of feature positions from the feature side according to the foundation pit three-dimensional model.
In step S1023, a detection position is selected from the detection side surface based on the plurality of feature positions.
Step S1024, calculating relative position data between the detected position and the plurality of feature positions.
Further, the foundation pit detection method further comprises the following steps:
and S103, acquiring meteorological environment data at the foundation pit, and adjusting and acquiring a corresponding foundation pit detection period according to the meteorological environment data.
In the embodiment of the invention, a preset standard detection period for detecting the foundation pit is obtained, the meteorological environment data at the foundation pit is obtained based on the positioning position by obtaining the positioning position at the foundation pit, the meteorological environment data is analyzed, the meteorological environment factors influencing the foundation pit are matched and extracted and marked as period factors, corresponding influence factors are generated according to the period factors, the standard detection period is adjusted according to the influence factors, and the foundation pit detection period is generated.
It can be understood that some meteorological environments influence the stability of foundation pit, and different meteorological environments, influence differently to the stability of foundation pit, consequently generate different influence factors, adjust standard detection period, and foundation pit detection period's computational formula is: a = uB, where a is a pit detection period, u is an influence factor, and B is a standard detection period, for example: in windy weather, the influence on the stability of the foundation pit is small, and the generated influence factor is 1.5; in heavy rain weather, the influence on the stability of the foundation pit is moderate, and the generated influence factor is 2; and in earthquake, the stability of the foundation pit is greatly influenced, and the generated influence factor is 5.
Specifically, fig. 4 shows a flowchart for acquiring a foundation pit detection period in the method provided by the embodiment of the present invention.
In an embodiment of the present invention, the acquiring meteorological environment data at a foundation pit and adjusting and acquiring a corresponding foundation pit detection period according to the meteorological environment data specifically include the following steps:
and step S1031, acquiring a preset standard detection period.
And S1032, acquiring meteorological environment data at the foundation pit.
And step S1033, analyzing the meteorological environment data and matching corresponding periodic factors.
And S1034, adjusting the standard detection period according to the period factor to obtain the foundation pit detection period.
Further, the foundation pit detection method further comprises the following steps:
and step S104, periodically detecting the characteristic positions at the detection positions according to the foundation pit detection period to generate periodic detection data.
In the embodiment of the invention, a corresponding periodic detection signal is generated according to a foundation pit detection period, and then according to the periodic detection signal, periodic shooting and periodic ranging are carried out on a plurality of characteristic positions at a detection position to generate periodic shooting data and periodic ranging data, and the periodic shooting data and the periodic ranging data are comprehensively arranged to generate periodic detection data.
Specifically, fig. 5 shows a flowchart of generating cycle detection data in the method provided in the embodiment of the present invention.
In a preferred embodiment of the present invention, the periodically detecting the plurality of feature positions at the detection position according to the foundation pit detection period, and generating periodic detection data specifically includes the following steps:
and S1041, generating a corresponding periodic detection signal according to the foundation pit detection period.
Step S1042, periodically shooting a plurality of feature positions at the detection position according to the periodic detection signal, and generating periodic shooting data.
And S1043, performing periodic ranging on the plurality of characteristic positions at the detection position according to the periodic detection signal to generate periodic ranging data.
And step S1044 of integrating the periodic shooting data and the periodic ranging data to generate periodic detection data.
Further, the foundation pit detection method further comprises the following steps:
and step S105, analyzing the periodic detection data based on the relative position data, and judging whether dangerous deformation exists.
In the embodiment of the invention, the periodic detection data is analyzed, the spatial displacement change of a plurality of characteristic positions relative to the detection position is recorded in the foundation pit three-dimensional model, the periodic displacement distance of the characteristic positions in the space is calculated by taking the relative position data as a comparison standard, the periodic displacement distances are respectively compared with the preset safe distance to judge whether the condition that the periodic displacement distance is greater than the safe distance exists, when the condition that the periodic displacement distance is greater than the safe distance exists, the corresponding characteristic position is marked as a dangerous deformation position, a corresponding early warning signal is generated according to the dangerous deformation position, and early warning is carried out according to the early warning signal, so that the timely early warning of the foundation pit danger is realized.
Specifically, fig. 6 shows a flowchart of the risk judgment and early warning processing in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the analyzing the periodic detection data based on the relative position data to determine whether there is a dangerous deformation specifically includes the following steps:
step S1051, calculating periodic displacement distances of the plurality of feature positions based on the periodic detection data and the relative position data.
Step S1052, comparing the plurality of periodic displacement distances with a preset safety distance, and determining whether there is a periodic displacement distance greater than the safety distance.
And step S1053, when the periodic displacement distance is larger than the safe distance, marking the corresponding characteristic position as a dangerous deformation position.
And S1054, generating a corresponding early warning signal according to the dangerous deformation position, and carrying out early warning and alarming.
Further, fig. 7 is a diagram illustrating an application architecture of the system according to the embodiment of the present invention.
In another preferred embodiment, the present invention provides a foundation pit detection system, which specifically includes:
and the three-dimensional model building unit 101 is used for acquiring foundation pit detection data acquired and sent by the unmanned aerial vehicle and building a foundation pit three-dimensional model according to the foundation pit detection data.
In the embodiment of the invention, after the foundation pit is constructed, the unmanned aerial vehicle is used for carrying out foundation pit shooting and radar detection on the foundation pit, after the unmanned aerial vehicle finishes the work of the foundation pit shooting and radar detection, relevant data are uploaded, the three-dimensional model building unit 101 is used for obtaining the radar detection data and the foundation pit shooting data which are collected and sent by the unmanned aerial vehicle, the radar detection data is subjected to the morphological analysis of the foundation pit, a basic three-dimensional model of the foundation pit is built, and then the basic three-dimensional model is subjected to color rendering and relevant detail rendering according to the foundation pit shooting data, so that the foundation pit three-dimensional model reflecting the actual condition of the foundation pit is generated.
Specifically, fig. 8 shows a block diagram of a three-dimensional model building unit 101 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the three-dimensional model constructing unit 101 specifically includes:
and a detection acquisition module 1011, configured to acquire radar detection data acquired and sent by the unmanned aerial vehicle.
And a model building module 1012 for building a basic three-dimensional model of the foundation pit according to the radar detection data.
And the shooting acquisition module 1013 is used for acquiring the foundation pit shooting data acquired and sent by the unmanned aerial vehicle.
And the model rendering module 1014 is used for rendering the basic three-dimensional model according to the foundation pit shooting data to generate a foundation pit three-dimensional model.
Further, the foundation pit detection system further comprises:
and the relative position analysis unit 102 is configured to select a detection position and a plurality of feature positions according to the three-dimensional model of the foundation pit, and calculate relative position data between the detection position and the plurality of feature positions.
In the embodiment of the present invention, the relative position analysis unit 102 performs feature analysis on the foundation pit three-dimensional model, marks the side of the foundation pit with more features as a feature side, marks the side of the foundation pit opposite to the feature side as a detection side, performs feature selection on the feature side, determines a plurality of positions with feature forms, and marks the positions as feature positions, thereby obtaining a plurality of feature positions, selects a detection position capable of effectively detecting the plurality of feature positions simultaneously from the detection side of the opposite side according to the distribution condition of the plurality of feature positions, and calculates the relative spatial distance between the detection position and the plurality of feature positions based on the foundation pit three-dimensional model, thereby obtaining relative position data.
Specifically, fig. 9 shows a block diagram of a relative position analysis unit 102 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the relative position analyzing unit 102 specifically includes:
and the characteristic analysis module 1021 is used for performing characteristic analysis on the foundation pit three-dimensional model and determining a characteristic side face and a detection side face.
A first selecting module 1022, configured to select a plurality of feature positions from the feature side according to the three-dimensional model of the foundation pit.
A second selecting module 1023, configured to select a detection position from the detection side based on a plurality of feature positions.
A relative calculation module 1024 for calculating relative position data between the detected position and the plurality of feature positions.
Further, the foundation pit detection system further comprises:
the detection period obtaining unit 103 is configured to obtain meteorological environment data at the foundation pit, and adjust and obtain a corresponding foundation pit detection period according to the meteorological environment data.
In the embodiment of the present invention, the detection period acquiring unit 103 acquires a preset standard detection period for detecting the foundation pit, acquires meteorological environment data at the foundation pit based on the positioning position by acquiring the positioning position at the foundation pit, analyzes the meteorological environment data, matches and extracts meteorological environment factors affecting the foundation pit, marks the meteorological environment factors as period factors, generates corresponding impact factors according to the period factors, and adjusts the standard detection period according to the impact factors to generate the foundation pit detection period.
Specifically, fig. 10 shows a block diagram of a detection cycle acquiring unit 103 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the detection period acquiring unit 103 specifically includes:
a standard obtaining module 1031, configured to obtain a preset standard detection period.
And the weather obtaining module 1032 is used for obtaining weather environment data at the foundation pit.
And the factor matching module 1033 is configured to analyze the meteorological environment data and match corresponding periodic factors.
And a period adjusting module 1034 for adjusting the standard detection period according to the period factor to obtain the foundation pit detection period.
Further, the foundation pit detection system further comprises:
and a foundation pit period detection unit 104, configured to perform periodic detection on the plurality of feature positions at the detection position according to the foundation pit detection period, and generate period detection data.
In the embodiment of the present invention, the foundation pit period detecting unit 104 generates a corresponding period detection signal according to the foundation pit detection period, and further performs periodic shooting and periodic ranging on a plurality of characteristic positions at the detection position according to the period detection signal to generate periodic shooting data and periodic ranging data, and performs comprehensive arrangement on the periodic shooting data and the periodic ranging data to generate periodic detection data.
And a danger judgment processing unit 105, configured to analyze the periodic detection data based on the relative position data, and judge whether dangerous deformation exists.
In the embodiment of the present invention, the danger judgment processing unit 105 analyzes the periodic detection data, records spatial displacement changes of a plurality of characteristic positions relative to the detection position in the foundation pit three-dimensional model, further calculates periodic displacement distances of the plurality of characteristic positions in the space by using the relative position data as a comparison standard, compares the plurality of periodic displacement distances with preset safety distances respectively, judges whether the periodic displacement distances are greater than the safety distances, marks the corresponding characteristic positions as dangerous deformation positions when the periodic displacement distances are greater than the safety distances, further generates corresponding early warning signals according to the dangerous deformation positions, and performs early warning according to the early warning signals, thereby realizing timely early warning of foundation pit danger.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM), among others.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is intended to be illustrative of the preferred embodiment of the present invention and should not be taken as limiting the invention, but rather, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (10)
1. A foundation pit detection method is characterized by specifically comprising the following steps:
acquiring foundation pit detection data acquired and sent by an unmanned aerial vehicle, and constructing a foundation pit three-dimensional model according to the foundation pit detection data;
selecting a detection position and a plurality of characteristic positions according to the foundation pit three-dimensional model, and calculating relative position data between the detection position and the plurality of characteristic positions;
acquiring meteorological environment data at a foundation pit, and adjusting and acquiring a corresponding foundation pit detection period according to the meteorological environment data;
according to the foundation pit detection period, periodically detecting a plurality of characteristic positions at the detection positions to generate periodic detection data;
and analyzing the periodic detection data based on the relative position data, and judging whether dangerous deformation exists or not.
2. The foundation pit detection method according to claim 1, wherein the step of obtaining the foundation pit detection data collected and sent by the unmanned aerial vehicle and constructing the three-dimensional foundation pit model according to the foundation pit detection data specifically comprises the following steps:
acquiring radar detection data acquired and sent by an unmanned aerial vehicle;
constructing a basic three-dimensional model of the foundation pit according to the radar detection data;
acquiring foundation pit shooting data collected and sent by an unmanned aerial vehicle;
and rendering the basic three-dimensional model according to the foundation pit shooting data to generate a foundation pit three-dimensional model.
3. The foundation pit detection method according to claim 1, wherein the step of selecting the detection position and the plurality of feature positions according to the three-dimensional model of the foundation pit and calculating the relative position data between the detection position and the plurality of feature positions specifically comprises the steps of:
performing feature analysis on the foundation pit three-dimensional model, and determining a feature side and a detection side;
selecting a plurality of characteristic positions from the characteristic side according to the foundation pit three-dimensional model;
selecting a detection position from the detection side surface based on a plurality of characteristic positions;
relative position data between the detected position and the plurality of feature positions is calculated.
4. The foundation pit detection method according to claim 1, wherein the step of acquiring meteorological environment data at the foundation pit and adjusting and acquiring the corresponding foundation pit detection period according to the meteorological environment data specifically comprises the steps of:
acquiring a preset standard detection period;
acquiring meteorological environment data at a foundation pit;
analyzing the meteorological environment data, and matching corresponding periodic factors;
and adjusting the standard detection period according to the period factors to obtain the foundation pit detection period.
5. The foundation pit detection method according to claim 1, wherein the periodic detection of the plurality of feature positions at the detection position according to the foundation pit detection period, and the generation of the periodic detection data specifically comprises the steps of:
generating a corresponding periodic detection signal according to the foundation pit detection period;
periodically shooting a plurality of characteristic positions at the detection position according to the periodic detection signal to generate periodic shooting data;
according to the periodic detection signal, carrying out periodic ranging on a plurality of characteristic positions at the detection position to generate periodic ranging data;
and synthesizing the periodic shooting data and the periodic ranging data to generate periodic detection data.
6. The foundation pit detection method according to claim 1, wherein the analyzing the periodic detection data based on the relative position data to determine whether there is a dangerous deformation specifically comprises the following steps:
calculating the periodic displacement distances of a plurality of characteristic positions according to the periodic detection data and the relative position data;
comparing the plurality of periodic displacement distances with a preset safety distance, and judging whether the periodic displacement distance is larger than the safety distance;
when the periodic displacement distance is greater than the safety distance, marking the corresponding characteristic position as a dangerous deformation position;
and generating a corresponding early warning signal according to the dangerous deformation position, and carrying out early warning and alarming.
7. The foundation pit detection system is characterized by comprising a three-dimensional model building unit, a relative position analysis unit, a detection period acquisition unit, a foundation pit period detection unit and a danger judgment processing unit, wherein:
the three-dimensional model building unit is used for obtaining foundation pit detection data collected and sent by the unmanned aerial vehicle and building a foundation pit three-dimensional model according to the foundation pit detection data;
the relative position analysis unit is used for selecting a detection position and a plurality of characteristic positions according to the foundation pit three-dimensional model and calculating relative position data between the detection position and the plurality of characteristic positions;
the detection period acquisition unit is used for acquiring meteorological environment data at the foundation pit and adjusting and acquiring a corresponding foundation pit detection period according to the meteorological environment data;
a foundation pit period detection unit, configured to perform periodic detection on the plurality of feature positions at the detection position according to the foundation pit detection period, and generate period detection data;
and the danger judgment processing unit is used for analyzing the periodic detection data based on the relative position data and judging whether dangerous deformation exists or not.
8. The foundation pit detection system according to claim 7, wherein the three-dimensional model building unit specifically comprises:
the detection acquisition module is used for acquiring radar detection data acquired and sent by the unmanned aerial vehicle;
the model construction module is used for constructing a basic three-dimensional model of the foundation pit according to the radar detection data;
the shooting acquisition module is used for acquiring foundation pit shooting data acquired and sent by the unmanned aerial vehicle;
and the model rendering module is used for rendering the basic three-dimensional model according to the foundation pit shooting data to generate a foundation pit three-dimensional model.
9. The foundation pit detection system according to claim 7, wherein the relative position analysis unit specifically comprises:
the characteristic analysis module is used for carrying out characteristic analysis on the foundation pit three-dimensional model and determining a characteristic side face and a detection side face;
the first selection module is used for selecting a plurality of characteristic positions from the characteristic side surface according to the foundation pit three-dimensional model;
a second selection module, configured to select a detection position from the detection side based on a plurality of feature positions;
and the relative calculation module is used for calculating relative position data between the detection position and the plurality of characteristic positions.
10. The foundation pit detection system according to claim 7, wherein the detection period acquiring unit specifically comprises:
the standard acquisition module is used for acquiring a preset standard detection period;
the weather obtaining module is used for obtaining weather environment data at the foundation pit;
the factor matching module is used for analyzing the meteorological environment data and matching corresponding periodic factors;
and the period adjusting module is used for adjusting the standard detection period according to the period factors to obtain the foundation pit detection period.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204286365U (en) * | 2014-12-30 | 2015-04-22 | 姜泓任 | Foundation pit side-wall displacement monitor |
| CN104807415A (en) * | 2015-05-05 | 2015-07-29 | 上海成盈光电科技有限公司 | Tunneling pit automatic deformation detection scanner |
| CN106092019A (en) * | 2016-08-03 | 2016-11-09 | 中交三公局（北京）工程试验检测有限公司 | Subway foundation pit system for monitoring displacement |
| US20210209793A1 (en) * | 2018-05-23 | 2021-07-08 | Nippon Telegraph And Telephone Corporation | Object tracking device, object tracking method, and object tracking program |
| CN113935096A (en) * | 2021-10-26 | 2022-01-14 | 浙江中诚工程管理科技有限公司 | Method and system for monitoring foundation pit deformation in real time |
| CN114444158A (en) * | 2020-11-04 | 2022-05-06 | 北京瓦特曼科技有限公司 | Underground roadway deformation early warning method and system based on three-dimensional reconstruction |
| CN114707305A (en) * | 2022-03-16 | 2022-07-05 | 湖南省气象灾害防御技术中心（湖南省防雷中心） | Ground-lightning activity analysis method and system |
| CN114998197A (en) * | 2022-04-24 | 2022-09-02 | 国网甘肃省电力公司兰州供电公司 | Unmanned aerial vehicle-based transformer substation civil engineering structure health monitoring system |
| CN115440008A (en) * | 2022-11-09 | 2022-12-06 | 湖北通达数科科技有限公司 | Landslide radar wave monitoring method and system |
-
2022
- 2022-12-08 CN CN202211568265.2A patent/CN115574732B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204286365U (en) * | 2014-12-30 | 2015-04-22 | 姜泓任 | Foundation pit side-wall displacement monitor |
| CN104807415A (en) * | 2015-05-05 | 2015-07-29 | 上海成盈光电科技有限公司 | Tunneling pit automatic deformation detection scanner |
| CN106092019A (en) * | 2016-08-03 | 2016-11-09 | 中交三公局（北京）工程试验检测有限公司 | Subway foundation pit system for monitoring displacement |
| US20210209793A1 (en) * | 2018-05-23 | 2021-07-08 | Nippon Telegraph And Telephone Corporation | Object tracking device, object tracking method, and object tracking program |
| CN114444158A (en) * | 2020-11-04 | 2022-05-06 | 北京瓦特曼科技有限公司 | Underground roadway deformation early warning method and system based on three-dimensional reconstruction |
| CN113935096A (en) * | 2021-10-26 | 2022-01-14 | 浙江中诚工程管理科技有限公司 | Method and system for monitoring foundation pit deformation in real time |
| CN114707305A (en) * | 2022-03-16 | 2022-07-05 | 湖南省气象灾害防御技术中心（湖南省防雷中心） | Ground-lightning activity analysis method and system |
| CN114998197A (en) * | 2022-04-24 | 2022-09-02 | 国网甘肃省电力公司兰州供电公司 | Unmanned aerial vehicle-based transformer substation civil engineering structure health monitoring system |
| CN115440008A (en) * | 2022-11-09 | 2022-12-06 | 湖北通达数科科技有限公司 | Landslide radar wave monitoring method and system |
Non-Patent Citations (1)
| Title |
|---|
| 周明等: "全站仪中间设站法三角高程测量方法及精度研究", 《测绘与空间地理信息》 * |
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