CN116336994A - Method and system for monitoring deep foundation pit in real time by pre-warning - Google Patents
Method and system for monitoring deep foundation pit in real time by pre-warning Download PDFInfo
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Abstract
The invention provides a deep foundation pit real-time monitoring method and a deep foundation pit real-time monitoring system for pre-warning, which relate to the technical field of intelligent monitoring, and the method comprises the following steps: the method comprises the steps of laying an automatic monitoring acquisition instrument based on deep foundation pit structure information acquired by an image acquisition device, carrying out real-time monitoring on a deep foundation pit, establishing a three-dimensional simulation deep foundation pit based on the internal shape of the deep foundation pit, the external shape of the deep foundation pit and the deep foundation pit structure information, evaluating the state of the deep foundation pit, obtaining a plurality of deep foundation pit evaluation results, inputting a pit collapse model for collapse analysis, outputting disaster analysis results, early warning the potential disasters of the deep foundation pit in advance, and carrying out emergency warning on the deep foundation pit emergency.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to a deep foundation pit real-time monitoring method and system for pre-warning.
Background
Along with the acceleration of the urban process, the scale of construction projects is larger and larger, the construction forms are more and more varied, and the safety and the quality of the construction projects are required to be ensured. Under the background, the quality assurance problem of the deep foundation pit engineering is increasingly emphasized, and some problems are inevitably encountered in the process of carrying out the deep foundation pit construction, so that proper monitoring measures are adopted according to specific conditions in the process of carrying out the deep foundation pit construction so as to ensure the smooth progress of the engineering. In deep foundation pit engineering construction, the utilization of monitoring technology should be enhanced. Because the complexity of engineering has the problem of different degrees at different construction sites, the deep foundation pit needs to be monitored in real time, so that the organization safety of the engineering can be improved, accidents can be timely found, and unnecessary losses are avoided.
However, in the prior art, the real-time monitoring of the deep foundation pit is not enough in management and control, so that the problem that the pre-alarm based on the real-time monitoring cannot be realized due to the collapse of the final deep foundation pit.
Disclosure of Invention
The application provides a deep foundation pit real-time monitoring method and system for pre-warning, which are used for solving the technical problems that the deep foundation pit collapse cannot be pre-warned finally due to insufficient management and control of the deep foundation pit real-time monitoring in the prior art.
In view of the above problems, the present application provides a method and a system for monitoring a deep foundation pit in real time for pre-warning.
In a first aspect, the present application provides a method for monitoring a deep foundation pit in real time by using a pre-alarm, where the method includes connecting an image acquisition device, and acquiring structural information of the deep foundation pit;
laying an automatic monitoring acquisition instrument based on the deep foundation pit structure information;
the deep foundation pit is monitored in real time through the automatic monitoring collector, and deep foundation pit monitoring data are obtained, wherein the deep foundation pit monitoring data comprise the inner shape of the deep foundation pit and the outer shape of the deep foundation pit;
establishing a three-dimensional simulation deep foundation pit based on the internal shape of the deep foundation pit, the external shape of the deep foundation pit and the structural information of the deep foundation pit, and evaluating the state of the deep foundation pit to obtain a plurality of deep foundation pit evaluation results;
inputting a foundation pit collapse model based on the multiple deep foundation pit evaluation results to perform collapse analysis, and outputting disaster analysis results;
and early warning the potential disasters of the deep foundation pit in advance based on the disaster analysis result, and emergency warning the emergency of the deep foundation pit.
In a second aspect, the present application provides a deep foundation pit real-time monitoring system with pre-alarm, the system comprising: the information acquisition module is used for connecting with the image acquisition device and acquiring the structural information of the deep foundation pit;
the layout module is used for laying the automatic monitoring acquisition instrument based on the deep foundation pit structure information;
the monitoring module is used for monitoring the deep foundation pit in real time through the automatic monitoring acquisition instrument, so as to obtain deep foundation pit monitoring data, wherein the deep foundation pit monitoring data comprise the inner shape of the deep foundation pit and the outer shape of the deep foundation pit;
the evaluation module is used for establishing a three-dimensional simulation deep foundation pit based on the internal shape of the deep foundation pit, the external shape of the deep foundation pit and the structural information of the deep foundation pit, evaluating the state of the deep foundation pit and obtaining a plurality of deep foundation pit evaluation results;
the collapse analysis module is used for inputting a foundation pit collapse model based on the multiple deep foundation pit evaluation results to perform collapse analysis and outputting disaster analysis results;
and the early warning module is used for early warning the potential disasters of the deep foundation pit based on the disaster analysis result and giving emergency warning to the sudden events of the deep foundation pit.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the application provides a deep foundation pit real-time monitoring method of pre-alarm relates to intelligent monitoring technical field, has solved among the prior art to deep foundation pit real-time monitoring's management and control not enough for finally the technical problem that can't report to the police in advance to deep foundation pit subsidence, realized rationalizing accurate management and control to deep foundation pit real-time monitoring, and then reach the technological effect that carries out the warning in advance to deep foundation pit subsidence.
Drawings
FIG. 1 is a schematic flow chart of a method for monitoring a deep foundation pit in real time by using a pre-alarm method;
fig. 2 is a schematic structural diagram of a deep foundation pit real-time monitoring system with pre-alarm function.
Reference numerals illustrate: the system comprises an information acquisition module 1, a layout module 2, a monitoring module 3, an evaluation module 4, a collapse analysis module 5 and an early warning module 6.
Detailed Description
The deep foundation pit real-time monitoring method for the pre-warning is used for solving the technical problems that in the prior art, the deep foundation pit is not monitored in real time and is not fully controlled, and the deep foundation pit collapse cannot be pre-warned finally.
Example 1
As shown in fig. 1, an embodiment of the present application provides a method for monitoring a pre-alarming deep foundation pit in real time, where the method is applied to a pre-alarming deep foundation pit real-time monitoring system, and the pre-alarming deep foundation pit real-time monitoring system is in communication connection with an image acquisition device, and the method includes:
step S100: connecting an image acquisition device to acquire deep foundation pit structure information;
specifically, the deep foundation pit real-time monitoring method for the pre-alarm provided by the embodiment of the application is applied to a deep foundation pit real-time monitoring system for the pre-alarm, and the deep foundation pit real-time monitoring system for the pre-alarm is in communication connection with an image acquisition device, and the image acquisition device is used for acquiring structural parameters of the deep foundation pit.
The image acquisition equipment can be a digital device, and can convert the acquired electric signal of the deep foundation pit structure into a digital discrete form, namely analog-digital conversion, so that the electric signal is input into a computer, the deep foundation pit structure parameters can comprise parameters such as that the bottom area of the foundation pit is within 27 square meters (excluding 20), the bottom long side is smaller than three times of the short side, the excavation depth is more than 5 meters and more than three layers of the basement are included, and the like, so that the acquired parameters are integrated and summarized, and the deep foundation pit structure information corresponding to the current deep foundation pit is obtained, and early warning and emergency warning of the deep foundation pit are realized in the later stage and are used as important reference bases.
Step S200: laying an automatic monitoring acquisition instrument based on the deep foundation pit structure information;
specifically, based on the obtained deep foundation pit structure information, the automatic monitoring acquisition instrument is arranged on the deep foundation pit structure points with potential safety hazards, wherein when the automatic detection acquisition instrument is arranged, the safety analysis is needed according to the potential safety hazards of the corresponding deep foundation pit structure, namely when the potential safety hazards of a certain point in the deep foundation pit structure are higher, the automatic detection acquisition instrument arranged on the point is more densely arranged, and a solid foundation is laid for realizing early warning and emergency warning of the deep foundation pit in the later stage of the deep foundation pit.
Step S300: the deep foundation pit is monitored in real time through the automatic monitoring collector, and deep foundation pit monitoring data are obtained, wherein the deep foundation pit monitoring data comprise the inner shape of the deep foundation pit and the outer shape of the deep foundation pit;
specifically, the distributed automatic monitoring collectors are used for collecting, summarizing, extracting and integrating the monitoring data corresponding to the distribution points of the automatic monitoring collectors in the deep foundation pit, the data collecting process can be regarded as a process set of a plurality of special and highly relevant sub-processes, the data collecting of the data collecting process is used for completing the parameter collecting of the power equipment, the deep foundation pit monitoring data corresponding to the distribution points are further formed, the deep foundation pit monitoring data comprise the inner shape of the current deep foundation pit and the outer shape of the deep foundation pit, the ground plane is used as a reference, the collected plane structure data is the outer shape of the deep foundation pit, the structure below the ground plane is the inner shape of the deep foundation pit, and the early warning and emergency warning of the deep foundation pit are guaranteed by collecting and monitoring the inner shape and the outer shape of the deep foundation pit in real time.
Step S400: establishing a three-dimensional simulation deep foundation pit based on the internal shape of the deep foundation pit, the external shape of the deep foundation pit and the structural information of the deep foundation pit, and evaluating the state of the deep foundation pit to obtain a plurality of deep foundation pit evaluation results;
specifically, on the basis of the internal shape of the deep foundation pit, the external shape of the deep foundation pit and the structural information of the deep foundation pit contained in the monitoring data of the deep foundation pit, the three-dimensional simulation deep foundation pit is built, firstly, time sequence analysis is carried out on the monitoring data of the deep foundation pit, then the monitoring data of the deep foundation pit structure and the deep foundation pit are aggregated, the three-dimensional simulation deep foundation pit is built, on the basis, a plurality of three-dimensional simulation deep foundation pit samples under different time sequences are obtained, meanwhile, whether the obtained plurality of three-dimensional simulation deep foundation pit samples meet the preset deep foundation pit structural data or not is judged, if the plurality of three-dimensional simulation deep foundation pit samples meet the preset deep foundation pit structural data, the state of the current deep foundation pit is evaluated, the evaluation result is correspondingly added into the final plurality of deep foundation pit evaluation results to be used as output, if the plurality of three-dimensional simulation deep foundation pit samples do not meet the preset deep foundation pit structural data, state warning information is generated, and the deep foundation pit is subjected to deep foundation pit remolding, and the obtained is correspondingly added into the final plurality of deep foundation pit evaluation results to be used as output.
Step S500: inputting a foundation pit collapse model based on the multiple deep foundation pit evaluation results to perform collapse analysis, and outputting disaster analysis results;
specifically, the obtained multiple deep foundation pit evaluation results are used as input data and input into a constructed collapse model, firstly, the multiple deep foundation pit danger coefficients are judged and assigned through the multiple deep foundation pit evaluation results and are used as construction data, the foundation pit collapse model is subjected to iterative supervision training until the foundation pit collapse model converges or the accuracy rate reaches the preset requirement, the foundation pit collapse model is verified, if the accuracy rate still meets the preset requirement, the foundation pit collapse model is obtained, further analysis of collapse hidden danger is carried out on the current deep foundation pit in the foundation pit collapse model, and accordingly the output result is recorded as a disaster analysis result to be output, and the method has a propelling effect on early warning and emergency warning of the deep foundation pit.
Step S600: and early warning the potential disasters of the deep foundation pit in advance based on the disaster analysis result, and emergency warning the emergency of the deep foundation pit.
Specifically, the disaster analysis result is taken as a basis, and the disaster analysis result can be a deep foundation pit containing the collapse hidden danger, so that the warning of the current deep foundation pit is correspondingly adjusted according to the collapse hidden danger of the deep foundation pit, if the current deep foundation pit does not have the collapse hidden danger, the current deep foundation pit is continuously monitored in real time, if the current deep foundation pit has the collapse hidden danger and the collapse hidden danger is low, the potential disaster of the current deep foundation pit is early warned in advance, and if the current deep foundation pit has the collapse hidden danger and the collapse hidden danger is high, the emergency warning is carried out on the disaster time of the current deep foundation pit suddenly, the reasonable and accurate management and control of the real-time monitoring of the deep foundation pit is realized, and the technical effect of pre-warning on the collapse of the deep foundation pit is achieved.
Further, step S200 of the present application further includes:
step S210: inputting the deep foundation pit structure information and the installation information of the automatic monitoring acquisition instrument into a potential safety hazard identification model;
step S220: performing multiple safety index analysis according to the potential safety hazard identification model to obtain multiple safety index analysis results, wherein the multiple safety indexes comprise layout environment goodness, layout device density and foundation pit structure stability;
step S230: carrying out dangerous area identification according to the analysis results of the plurality of safety indexes;
step S240: and outputting potential safety hazard distribution points based on the identified dangerous areas.
Specifically, the obtained deep foundation pit structure information and the obtained automatic monitoring acquisition instrument installation information are input into a potential safety hazard identification model, a plurality of safety indexes corresponding to the input deep foundation pit structure information and the automatic monitoring acquisition instrument installation information are analyzed according to the potential safety hazard identification model, the potential safety hazard identification model is a neural network model which can be subjected to self-iterative optimization continuously in machine learning, and the potential safety hazard identification model is obtained through training of an automatic monitoring acquisition instrument layout data set and a safety index data set, wherein each group of data in the automatic monitoring acquisition instrument layout data set comprises the deep foundation pit structure information and the automatic monitoring acquisition instrument installation information; the safety index data sets are layout environment goodness, layout device density and foundation pit structure stability which are in one-to-one correspondence with the layout data sets of the automatic monitoring acquisition instrument.
Further, the potential safety hazard identification model construction process comprises the following steps: and inputting each group of training data in the automatic monitoring acquisition instrument layout data set into the potential safety hazard identification model, performing output supervision adjustment on the potential safety hazard identification model through the safety index data corresponding to the automatic monitoring acquisition instrument layout data set, judging the current group as safe when the output result of the potential safety hazard identification model is consistent with the safety index data, and finishing training all the automatic monitoring acquisition instrument layout data in the automatic monitoring acquisition instrument layout data set, so that the training of the potential safety hazard identification model is completed.
In order to ensure the accuracy of the potential safety hazard identification model, the potential safety hazard identification model can be tested by the test data set, for example, the test accuracy can be set to 80%, and when the test accuracy of the test data set meets 80%, the potential safety hazard identification model is constructed.
The method comprises the steps of inputting structural information of a deep foundation pit and installation information of an automatic monitoring acquisition instrument into a potential safety hazard identification model, and outputting a plurality of safety index analysis results, wherein the layout environment goodness contained in the safety index analysis is that potential safety hazard degrees in the environment of the deep foundation pit where the automatic monitoring acquisition instrument is located, such as overhead temperature, humidity and the like in the deep foundation pit are all easy to collapse, the layout device density is that the number of the automatic monitoring acquisition instrument is too large, for example, the layout density of the automatic monitoring acquisition instrument cannot be too large in places where the deep foundation pit is not good in bearing, otherwise, collapse hidden danger is easy to occur, the foundation pit structural stability is that whether the depth of soil of a ground continuous wall in the deep foundation pit, namely the wall length, the rigidity of the ground continuous wall in the deep foundation pit is changed until sliding damage occurs to a pit wall soil body, the supporting axial force in the deep foundation pit is changed until integral stable damage occurs to the foundation pit, and the like are judged.
And then, according to the obtained multiple safety index analysis results, the dangerous area is marked, and in the marked dangerous area, potential safety hazard distribution points are output, so that early warning and emergency warning of the deep foundation pit are improved.
Further, step S230 of the present application includes:
step S231: according to the safety index analysis results, an environment analysis result, a density analysis result and a stability analysis result are obtained;
step S232: inputting the environmental analysis result, the density analysis result and the stability analysis result into a judging device, and obtaining an output analysis result according to the judging device, wherein the output analysis result comprises the environmental analysis result and/or the density analysis result and/or the stability analysis result;
step S233: and generating a monitoring tag according to the output analysis result, and identifying the dangerous area based on the monitoring tag.
Specifically, among the plurality of obtained safety index analysis results, an environmental analysis result, a density analysis result and a stability analysis result are obtained, so that the obtained environmental analysis result, the density analysis result and the stability analysis result are input into a judging device, the obtained environmental analysis result, the obtained density analysis result and the obtained stability analysis result are correspondingly compared through the judging device based on a preset priority standard, a preset density standard and a preset stability standard, if the obtained result meets the preset standard, the obtained result is not output, and if the obtained result does not meet the preset standard, the analysis result is correspondingly output, wherein the obtained output analysis result comprises the environmental analysis result and/or the density analysis result and/or the stability analysis result, further, a corresponding monitoring label is generated based on the output analysis result, and a dangerous area is identified based on the monitoring label, so that the technical effects of early warning and emergency warning of the deep foundation pit are achieved in the later stage.
Further, step S400 of the present application further includes:
step S410: obtaining time sequence monitoring data by carrying out time sequence analysis on the deep foundation pit monitoring data, wherein the time sequence monitoring data comprises a time mark;
step S420: the deep foundation pit structure information and the time sequence monitoring data are aggregated to generate an aggregation result;
step S430: constructing a three-dimensional simulation deep foundation pit based on the polymerization result to obtain a plurality of three-dimensional simulation deep foundation pit samples;
step S440: judging whether the plurality of three-dimensional simulation deep foundation pit samples meet preset deep foundation pit structure data or not;
step S450: if yes, carrying out deep foundation pit state evaluation to generate a real-time deep foundation pit state evaluation result;
step S460: and adding the real-time deep foundation pit state evaluation result to the plurality of deep foundation pit evaluation results.
Specifically, based on the obtained deep foundation pit monitoring data, respectively performing time sequence analysis on the internal shape and the external shape of the deep foundation pit in the deep foundation pit monitoring data, namely, collecting, identifying and correspondingly analyzing the internal shape and the external shape of the real-time deep foundation pit corresponding to different time nodes of the deep foundation pit, thereby obtaining time sequence monitoring data corresponding to the internal shape and the external shape of the deep foundation pit with a time mark, further polymerizing the deep foundation pit structure information with the obtained time sequence monitoring data, namely, performing polymerization comparison on a plurality of deep foundation pit structures in the deep foundation pit structure information and the deep foundation pit structures collected in real time in the time sequence monitoring data, thereby correspondingly generating a polymerization result, and constructing a three-dimensional simulation deep foundation pit based on a plurality of deep foundation pit structures contained in the obtained polymerization result, further judging whether the three-dimensional simulated deep foundation pit samples meet preset deep foundation pit structure data or not, wherein the preset deep foundation pit structure data are preset by related technicians according to the deep foundation pit structure data amount contained in big data, the preset deep foundation pit structure data are safe deep foundation pit structure data, if the three-dimensional simulated deep foundation pit samples meet the preset deep foundation pit structure data, evaluating the current deep foundation pit state, namely the current deep foundation pit structure accords with the preset deep foundation pit structure data, evaluating the safe state of the current deep foundation pit, namely the deep foundation pit with safe structure, adjusting the current deep foundation pit structure according to the real-time deep foundation pit state evaluation result, wherein the deep foundation pit with safe structure is a deep foundation pit with potential safety hazard, but the potential safety hazard is insufficient to threaten the whole structure of the deep foundation pit, for example, the deep foundation pit with a safer structure can be adjusted to be the deep foundation pit with a safe structure, and finally the obtained real-time state evaluation result of the deep foundation pit is added into a plurality of evaluation results of the deep foundation pit for output, and the early warning and emergency warning of the deep foundation pit are realized in the later stage, so that the deep influence is brought to the future.
Further, step S450 of the present application includes:
step S451: judging whether the plurality of three-dimensional simulation deep foundation pit samples meet preset deep foundation pit structure data or not;
step S452: if not, generating deep foundation pit state alarm information;
step S453: performing structural remodeling on the deep foundation pit based on the deep foundation pit state alarm information to obtain remolded data;
step S454: and adding the remolding data to the plurality of deep foundation pit evaluation results.
Specifically, whether the multiple three-dimensional simulation deep foundation pit samples meet preset deep foundation pit structure data or not is judged, wherein the obtained preset deep foundation pit structure data is preset by relevant technicians according to the deep foundation pit structure data amount contained in big data, the preset deep foundation pit structure data is safe deep foundation pit structure data, if the multiple three-dimensional simulation deep foundation pit samples do not meet the preset deep foundation pit structure data, deep foundation pit state alarm information is correspondingly generated, the deep foundation pit state alarm information refers to that the current deep foundation pit structure does not coincide with the preset deep foundation pit structure data, namely, the current deep foundation pit is a deep foundation pit with unsafe structure, structural remodeling is carried out on the current deep foundation pit according to the obtained deep foundation pit state alarm information, the deep foundation pit with unsafe structure is the deep foundation pit with unsafe structure, remolding data is correspondingly obtained, and finally the obtained remolding data is added into multiple deep foundation pit evaluation results to be output, and the technical effect of providing important basis for later implementation of early warning and emergency warning of the deep foundation pit is achieved.
Further, step S410 of the present application further includes:
step S510: acquiring a plurality of deep foundation pit danger coefficients according to the plurality of deep foundation pit evaluation results;
step S520: adopting the plurality of deep foundation pit danger coefficients as construction data, and performing iterative supervision training on the foundation pit collapse model until the foundation pit collapse model converges or the accuracy reaches a preset requirement;
step S530: and verifying the foundation pit collapse model, and if the accuracy still meets the preset requirement, obtaining the foundation pit collapse model.
Specifically, collapse risk probabilities of different deep foundation pits corresponding to the deep foundation pits with different structures are extracted from the obtained multiple deep foundation pit evaluation results, so that risk coefficients corresponding to the multiple deep foundation pits are obtained according to the obtained collapse risk probabilities, the obtained multiple deep foundation pit risk coefficients are used as construction data, iterative supervision training is performed on a foundation pit collapse model, each group of training data in a training data set contained in the foundation pit collapse model comprises multiple deep foundation pit risk coefficients, and further, the foundation pit collapse model construction process is as follows: and inputting each group of training data in the training data set into the foundation pit collapse model, outputting and supervising and adjusting the foundation pit collapse model through the supervising data corresponding to the group of training data, finishing the current group of training when the output result of the foundation pit collapse model is consistent with the supervising data, finishing the training of all the training data in the training data set, and finishing the training of the foundation pit collapse model.
When the foundation pit collapse model is in a convergence state, or the test data set is used for carrying out test treatment on the foundation pit collapse model, the foundation pit collapse model is constructed.
Example two
Based on the same inventive concept as the deep foundation pit real-time monitoring method of pre-alarm in the foregoing embodiment, as shown in fig. 2, the present application provides a deep foundation pit real-time monitoring system of pre-alarm, the system includes:
the information acquisition module 1 is used for connecting an image acquisition device and acquiring deep foundation pit structure information;
the layout module 2 is used for laying the automatic monitoring acquisition instrument based on the deep foundation pit structure information;
the monitoring module 3 is used for monitoring the deep foundation pit in real time through the automatic monitoring acquisition instrument, so as to obtain deep foundation pit monitoring data, wherein the deep foundation pit monitoring data comprise the inner shape of the deep foundation pit and the outer shape of the deep foundation pit;
the evaluation module 4 is used for establishing a three-dimensional simulation deep foundation pit based on the internal shape of the deep foundation pit, the external shape of the deep foundation pit and the structural information of the deep foundation pit, evaluating the state of the deep foundation pit and obtaining a plurality of deep foundation pit evaluation results;
the collapse analysis module 5 is used for inputting a foundation pit collapse model based on the multiple deep foundation pit evaluation results to perform collapse analysis and outputting disaster analysis results;
the early warning module 6 is used for early warning the potential disasters of the deep foundation pit based on the disaster analysis result and giving emergency warning to the sudden events of the deep foundation pit.
Further, the system further comprises:
the first input module is used for inputting the deep foundation pit structure information and the installation information of the automatic monitoring acquisition instrument into the potential safety hazard identification model;
the index analysis module is used for carrying out multiple safety index analyses according to the potential safety hazard identification model to obtain multiple safety index analysis results, wherein the multiple safety indexes comprise layout environment goodness, layout device density and foundation pit structure stability;
the first identification module is used for carrying out dangerous area identification according to the analysis results of the plurality of safety indexes;
and the output module is used for outputting potential safety hazard distribution points based on the identified dangerous areas.
Further, the system further comprises:
the result obtaining module is used for obtaining an environment analysis result, a density analysis result and a stability analysis result according to the plurality of safety index analysis results;
the second input module is used for inputting the environmental analysis result, the density analysis result and the stability analysis result into a judging device and obtaining an output analysis result according to the judging device, wherein the output analysis result comprises the environmental analysis result and/or the density analysis result and/or the stability analysis result;
and the second identification module is used for generating a monitoring tag according to the output analysis result and identifying the dangerous area based on the monitoring tag.
Further, the system further comprises:
the time sequence analysis module is used for obtaining time sequence monitoring data by performing time sequence analysis on the deep foundation pit monitoring data, wherein the time sequence monitoring data comprises a time mark;
the aggregation module is used for generating an aggregation result by aggregating the deep foundation pit structure information and the time sequence monitoring data;
the sample obtaining module is used for constructing a three-dimensional simulation deep foundation pit based on the aggregation result to obtain a plurality of three-dimensional simulation deep foundation pit samples;
the first judging module is used for judging whether the plurality of three-dimensional simulation deep foundation pit samples meet preset deep foundation pit structure data or not;
the state evaluation module is used for evaluating the state of the deep foundation pit if the state is met, and generating a real-time deep foundation pit state evaluation result;
the first adding module is used for adding the real-time deep foundation pit state evaluation results to the plurality of deep foundation pit evaluation results.
Further, the system further comprises:
the second judging module is used for judging whether the plurality of three-dimensional simulation deep foundation pit samples meet preset deep foundation pit structure data or not;
the warning module is used for generating deep foundation pit state warning information if the warning information is not met;
the structure remolding module is used for remolding the deep foundation pit based on the deep foundation pit state alarm information to obtain remolding data;
and the second adding module is used for adding the remolding data to the plurality of deep foundation pit evaluation results.
Further, the system further comprises:
the coefficient acquisition module is used for acquiring a plurality of deep foundation pit danger coefficients according to the plurality of deep foundation pit evaluation results;
the supervision training module is used for carrying out iterative supervision training on the foundation pit collapse model by adopting the plurality of deep foundation pit danger coefficients as construction data until the foundation pit collapse model converges or the accuracy reaches a preset requirement;
the verification module is used for verifying the foundation pit collapse model, and if the accuracy still meets the preset requirement, the foundation pit collapse model is obtained.
Through the foregoing detailed description of a pre-warning method for monitoring a deep foundation pit in real time, those skilled in the art can clearly know the pre-warning method and system for monitoring a deep foundation pit in real time in this embodiment, and for the device disclosed in the embodiment, the description is relatively simple because it corresponds to the method disclosed in the embodiment, and relevant places refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. The method for monitoring the deep foundation pit in real time by pre-warning is characterized by comprising the following steps of:
connecting an image acquisition device to acquire deep foundation pit structure information;
laying an automatic monitoring acquisition instrument based on the deep foundation pit structure information;
the deep foundation pit is monitored in real time through the automatic monitoring collector, and deep foundation pit monitoring data are obtained, wherein the deep foundation pit monitoring data comprise the inner shape of the deep foundation pit and the outer shape of the deep foundation pit;
establishing a three-dimensional simulation deep foundation pit based on the internal shape of the deep foundation pit, the external shape of the deep foundation pit and the structural information of the deep foundation pit, and evaluating the state of the deep foundation pit to obtain a plurality of deep foundation pit evaluation results;
inputting a foundation pit collapse model based on the multiple deep foundation pit evaluation results to perform collapse analysis, and outputting disaster analysis results;
and early warning the potential disasters of the deep foundation pit in advance based on the disaster analysis result, and emergency warning the emergency of the deep foundation pit.
2. The method of claim 1, wherein the automated monitoring acquisition instrument is deployed, the method further comprising:
inputting the deep foundation pit structure information and the installation information of the automatic monitoring acquisition instrument into a potential safety hazard identification model;
performing multiple safety index analysis according to the potential safety hazard identification model to obtain multiple safety index analysis results, wherein the multiple safety indexes comprise layout environment goodness, layout device density and foundation pit structure stability;
carrying out dangerous area identification according to the analysis results of the plurality of safety indexes;
and outputting potential safety hazard distribution points based on the identified dangerous areas.
3. The method of claim 2, wherein the hazardous area identification is performed, the method further comprising:
according to the safety index analysis results, an environment analysis result, a density analysis result and a stability analysis result are obtained;
inputting the environmental analysis result, the density analysis result and the stability analysis result into a judging device, and obtaining an output analysis result according to the judging device, wherein the output analysis result comprises the environmental analysis result and/or the density analysis result and/or the stability analysis result;
and generating a monitoring tag according to the output analysis result, and identifying the dangerous area based on the monitoring tag.
4. The method of claim 1, wherein a plurality of deep pit evaluation results are obtained, the method further comprising:
obtaining time sequence monitoring data by carrying out time sequence analysis on the deep foundation pit monitoring data, wherein the time sequence monitoring data comprises a time mark;
the deep foundation pit structure information and the time sequence monitoring data are aggregated to generate an aggregation result;
constructing a three-dimensional simulation deep foundation pit based on the polymerization result to obtain a plurality of three-dimensional simulation deep foundation pit samples;
judging whether the plurality of three-dimensional simulation deep foundation pit samples meet preset deep foundation pit structure data or not;
if yes, carrying out deep foundation pit state evaluation to generate a real-time deep foundation pit state evaluation result;
and adding the real-time deep foundation pit state evaluation result to the plurality of deep foundation pit evaluation results.
5. The method of claim 4, wherein a plurality of deep pit evaluation results are obtained, the method further comprising:
judging whether the plurality of three-dimensional simulation deep foundation pit samples meet preset deep foundation pit structure data or not;
if not, generating deep foundation pit state alarm information;
performing structural remodeling on the deep foundation pit based on the deep foundation pit state alarm information to obtain remolded data;
and adding the remolding data to the plurality of deep foundation pit evaluation results.
6. The method of claim 1, wherein the pit collapse model is obtained, the method further comprising:
acquiring a plurality of deep foundation pit danger coefficients according to the plurality of deep foundation pit evaluation results;
adopting the plurality of deep foundation pit danger coefficients as construction data, and performing iterative supervision training on the foundation pit collapse model until the foundation pit collapse model converges or the accuracy reaches a preset requirement;
and verifying the foundation pit collapse model, and if the accuracy still meets the preset requirement, obtaining the foundation pit collapse model.
7. A pre-alarm deep foundation pit real-time monitoring system, the system comprising:
the information acquisition module is used for connecting with the image acquisition device and acquiring the structural information of the deep foundation pit;
the layout module is used for laying the automatic monitoring acquisition instrument based on the deep foundation pit structure information;
the monitoring module is used for monitoring the deep foundation pit in real time through the automatic monitoring acquisition instrument, so as to obtain deep foundation pit monitoring data, wherein the deep foundation pit monitoring data comprise the inner shape of the deep foundation pit and the outer shape of the deep foundation pit;
the evaluation module is used for establishing a three-dimensional simulation deep foundation pit based on the internal shape of the deep foundation pit, the external shape of the deep foundation pit and the structural information of the deep foundation pit, evaluating the state of the deep foundation pit and obtaining a plurality of deep foundation pit evaluation results;
the collapse analysis module is used for inputting a foundation pit collapse model based on the multiple deep foundation pit evaluation results to perform collapse analysis and outputting disaster analysis results;
and the early warning module is used for early warning the potential disasters of the deep foundation pit based on the disaster analysis result and giving emergency warning to the sudden events of the deep foundation pit.
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