CN111721263A - Management method and system for detecting building settlement - Google Patents
Management method and system for detecting building settlement Download PDFInfo
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- CN111721263A CN111721263A CN202010732580.9A CN202010732580A CN111721263A CN 111721263 A CN111721263 A CN 111721263A CN 202010732580 A CN202010732580 A CN 202010732580A CN 111721263 A CN111721263 A CN 111721263A
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Abstract
The invention discloses a management method and a management system for detecting building settlement. When the scheme is applied, different first sensing signal sets are obtained firstly, then the different first sensing signal sets are counted and stored according to the extracted settlement data and the settlement distance to obtain a target sensing signal set, different second sensing signal sets are further obtained, settlement of a target building is analyzed according to settlement observation data and settlement obtained through extraction, an obtained settlement analysis result is used as reference result information, finally similarity matching is carried out on the reference result information and the target sensing signal set, and the settlement state of the target building is detected based on the matching result to obtain the actual settlement state of the target building. Therefore, the control difficulty and the complexity of the building settlement detection technology can be effectively reduced, the settlement of the target building is further analyzed through the detection center, and the settlement state of the building can be rapidly and accurately determined.
Description
Technical Field
The present disclosure relates to the field of monitoring technologies, and in particular, to a management method and system for detecting building settlement.
Background
The building can subside because of the continuous increase of self load weight in the work progress, and the excavation of deep basal pit also leads to the settlement of the peripheral original building of foundation ditch often. Therefore, in order to ensure construction quality and construction safety, the settlement detection of the building is crucial. However, the conventional building settlement detection technology is difficult to safely and reliably control in implementation and is easy to cause safety accidents. Meanwhile, in the sedimentation detection process, the detection accuracy and timeliness are difficult to be effectively ensured.
Disclosure of Invention
To solve the technical problems in the related art, the present disclosure provides a management method and system for detecting building settlement.
The invention provides a management method for detecting building settlement, which is applied to a detection center, wherein the detection center is communicated with n sensors, the n sensors are arranged at different positions of a target building, n is a positive integer, and the method comprises the following steps:
acquiring different first sensing signal sets acquired by each sensor in the n sensors and used for detecting the settlement state of the target building; wherein the first set of sensing signals comprises image signals and pressure signals;
extracting settlement data corresponding to the image signals and settlement distances corresponding to the pressure signals, and counting and storing different first sensing signal sets according to the settlement data and the settlement distances to obtain a target sensing signal set;
acquiring different second sensing signal sets acquired by each sensor of the n sensors and used for detecting the settlement state of the target building, and extracting settlement observation data and settlement amount corresponding to the second sensing signal sets; wherein the settlement observation data is used for representing an observation value of the settlement of the target building, and the settlement amount is used for representing the depth of the settlement of the target building;
analyzing the settlement of the target building based on the settlement observation data and the settlement amount to obtain a settlement analysis result, and forming a target result sequence by the settlement analysis result to be used as reference result information for detecting the settlement of the target building;
and performing similarity matching on the reference result information and a target sensing signal set, and detecting the settlement state of the target building based on the matching result to obtain the actual settlement state of the target building.
Optionally, the method includes extracting settlement data corresponding to the image signal and a settlement distance corresponding to the pressure signal, and performing statistics and storage on different first sensing signal sets according to the settlement data and the settlement distance to obtain a target sensing signal set, and specifically includes:
extracting settlement data corresponding to the image signal and a settlement distance corresponding to the pressure signal, wherein the settlement data and the settlement distance respectively comprise a plurality of settlement values with different weights;
extracting a reference image signal record of one of sedimentation values of the image signal in the sedimentation data, and determining the sedimentation value with the minimum weight in the sedimentation distance as a target distance;
inputting the reference image signal record into the target distance according to a preset input path, obtaining a target input point in the target distance, and generating a correlation diagram between the image signal and the pressure signal based on the reference image signal record and the target input point;
grouping different first sensing signal sets based on the association diagram to obtain a grouping sequence, and counting and storing the first sensing signal sets based on the grouping sequence to obtain a target sensing signal set.
Optionally, the extracting the settlement observation data and the settlement amount corresponding to the second sensing signal set specifically includes:
extracting the settlement displacement corresponding to the second sensing signal set; the settlement displacement is used for representing the difference value between the settlement amount corresponding to the target building and a preset settlement amount;
selecting a reference settlement displacement from the settlement displacements, and extracting settlement information of the target building from the reference settlement displacement;
and screening in a second sensing signal set where the target building settlement information is located according to the reference settlement displacement to obtain actual settlement information, and extracting settlement observation data and settlement corresponding to the second sensing signal set based on the actual settlement information.
Optionally, analyzing the settlement of the target building based on the settlement observation data and the settlement amount to obtain a settlement analysis result, specifically including:
testing whether abnormal data exist in the settlement observation data to obtain a data test result;
when the data test result indicates that abnormal data exist in the settlement observation data, obtaining an acquisition time point of the abnormal data according to first key data corresponding to the settlement observation data of the target building and second key data corresponding to the abnormal data;
deleting the observed abnormal data based on the acquisition time point to obtain target settlement observation data;
and carrying out real-time dynamic detection on the settlement of the target building based on the target settlement observation data and the settlement amount to obtain a detection value, and carrying out comparative analysis on the detection value and a historical detection value to obtain a settlement analysis result.
Optionally, the step of forming a target result sequence from the settlement analysis results as reference result information for detecting the settlement of the target building specifically includes:
recording the same indexes in the sedimentation analysis result as similar indexes; the similar indexes are obtained by analyzing the sedimentation analysis result;
acquiring index characteristic information corresponding to the similar indexes, and dividing the index characteristic information into a plurality of information sets with different sequence numbers according to a preset grouping proportion;
obtaining classification numbers corresponding to the sedimentation analysis results according to a plurality of information sets with different sequence numbers obtained through division, and carrying out numbering on the classification numbers according to the sequence from small to large to obtain a numbering result;
and mapping the settlement analysis result into the ranking result according to a preset mapping proportion to obtain a target result sequence, and taking the target result sequence as reference result information for detecting the settlement of the target building.
The invention provides a management system for detecting building settlement, which comprises a detection center and n sensors, wherein the detection center is communicated with each sensor, the n sensors are arranged at different positions of a target building, and n is a positive integer;
the detection center is used for:
acquiring different first sensing signal sets acquired by each sensor in the n sensors and used for detecting the settlement state of the target building; wherein the first set of sensing signals comprises image signals and pressure signals;
extracting settlement data corresponding to the image signals and settlement distances corresponding to the pressure signals, and counting and storing different first sensing signal sets according to the settlement data and the settlement distances to obtain a target sensing signal set;
acquiring different second sensing signal sets acquired by each sensor of the n sensors and used for detecting the settlement state of the target building, and extracting settlement observation data and settlement amount corresponding to the second sensing signal sets; wherein the settlement observation data is used for representing an observation value of the settlement of the target building, and the settlement amount is used for representing the depth of the settlement of the target building;
analyzing the settlement of the target building based on the settlement observation data and the settlement amount to obtain a settlement analysis result, and forming a target result sequence by the settlement analysis result to be used as reference result information for detecting the settlement of the target building;
and performing similarity matching on the reference result information and a target sensing signal set, and detecting the settlement state of the target building based on the matching result to obtain the actual settlement state of the target building.
Optionally, the detection center is specifically configured to:
extracting settlement data corresponding to the image signal and a settlement distance corresponding to the pressure signal, wherein the settlement data and the settlement distance respectively comprise a plurality of settlement values with different weights;
extracting a reference image signal record of one of sedimentation values of the image signal in the sedimentation data, and determining the sedimentation value with the minimum weight in the sedimentation distance as a target distance;
inputting the reference image signal record into the target distance according to a preset input path, obtaining a target input point in the target distance, and generating a correlation diagram between the image signal and the pressure signal based on the reference image signal record and the target input point;
grouping different first sensing signal sets based on the association diagram to obtain a grouping sequence, and counting and storing the first sensing signal sets based on the grouping sequence to obtain a target sensing signal set.
Optionally, the detection center is specifically configured to:
extracting the settlement displacement corresponding to the second sensing signal set; the settlement displacement is used for representing the difference value between the settlement amount corresponding to the target building and a preset settlement amount;
selecting a reference settlement displacement from the settlement displacements, and extracting settlement information of the target building from the reference settlement displacement;
and screening in a second sensing signal set where the target building settlement information is located according to the reference settlement displacement to obtain actual settlement information, and extracting settlement observation data and settlement corresponding to the second sensing signal set based on the actual settlement information.
Optionally, the detection center is specifically configured to:
testing whether abnormal data exist in the settlement observation data to obtain a data test result;
when the data test result indicates that abnormal data exist in the settlement observation data, obtaining an acquisition time point of the abnormal data according to first key data corresponding to the settlement observation data of the target building and second key data corresponding to the abnormal data;
deleting the observed abnormal data based on the acquisition time point to obtain target settlement observation data;
and carrying out real-time dynamic detection on the settlement of the target building based on the target settlement observation data and the settlement amount to obtain a detection value, and carrying out comparative analysis on the detection value and a historical detection value to obtain a settlement analysis result.
Optionally, the detection center is specifically configured to:
recording the same indexes in the sedimentation analysis result as similar indexes; the similar indexes are obtained by analyzing the sedimentation analysis result;
acquiring index characteristic information corresponding to the similar indexes, and dividing the index characteristic information into a plurality of information sets with different sequence numbers according to a preset grouping proportion;
obtaining classification numbers corresponding to the sedimentation analysis results according to a plurality of information sets with different sequence numbers obtained through division, and carrying out numbering on the classification numbers according to the sequence from small to large to obtain a numbering result;
and mapping the settlement analysis result into the ranking result according to a preset mapping proportion to obtain a target result sequence, and taking the target result sequence as reference result information for detecting the settlement of the target building.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects.
The utility model provides a management method and system for detecting building settlement, firstly obtain different first sensing signal sets, wherein first sensing signal set includes image signal and pressure signal, secondly, according to the settlement data and settlement distance that extract to carry out statistics and storage to different first sensing signal sets, obtain target sensing signal set, further obtain different second sensing signal set, obtain settlement observation data and settlement volume according to the extraction and carry out analysis to the settlement of target building and obtain settlement analysis result, and regard settlement analysis result as reference result information, finally carry out similarity matching with reference result information and target sensing signal set, and detect the settlement state of target building based on the matching result, obtain the actual settlement state of target building. So, set up n sensors in the different positions department of target building and detect target building, need not to be equipped with too much check out test set like this, and then can effectively reduce the control degree of difficulty and the complexity of building settlement detection technique, further carry out the analysis through the subsidence of detection center to target building, can confirm the settlement state of building accurately fast.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic communication architecture diagram of a management system for detecting building settlement according to an embodiment of the present invention.
Fig. 2 is a flowchart of a management method for detecting building settlement according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a hardware structure of a detection center according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
To achieve the above object, the present disclosure provides a communication architecture diagram of a management system 100 for detecting building settlement as shown in fig. 1. The management system 100 for detecting building settlement may include a detection center 200 and n sensors 300. The detection center 200 communicates with the n sensors 300, in this embodiment, the detection center 200 may be a computer, a platform, or the like, and the sensors 300 may be devices capable of detecting data of a target building.
Fig. 2 is a flowchart of a management method for detecting building settlement according to the present disclosure, which may be applied to a detection center communicating with n sensors installed at different locations of a target building, n being a positive integer, and may include the following.
Step S110, acquiring different first sensing signal sets which are acquired by each sensor of the n sensors and used for detecting the settlement state of the target building; wherein the first set of sensing signals comprises an image signal and a pressure signal.
And step S120, extracting settlement data corresponding to the image signals and settlement distances corresponding to the pressure signals, and counting and storing different first sensing signal sets according to the settlement data and the settlement distances to obtain a target sensing signal set.
Step S130, acquiring a second sensing signal set, which is acquired by each of the n sensors and used for detecting the settlement state of the target building, and extracting settlement observation data and a settlement amount corresponding to the second sensing signal set.
In this embodiment, the settlement observation data is used to represent an observation value of the settlement of the target building, and the settlement amount is used to represent the depth of the settlement of the target building.
Step S140, analyzing the settlement of the target building based on the settlement observation data and the settlement amount to obtain a settlement analysis result, and forming a target result sequence by the settlement analysis result to be used as reference result information for detecting the settlement of the target building.
And S150, performing similarity matching on the reference result information and a target sensing signal set, and detecting the settlement state of the target building based on the matching result to obtain the actual settlement state of the target building.
Executing the contents described in the steps S110 to S150, first obtaining different first sensing signal sets, where the first sensing signal sets include image signals and pressure signals, then, performing statistics and storage on the different first sensing signal sets according to the extracted settlement data and the settlement distance to obtain target sensing signal sets, further obtaining different second sensing signal sets, analyzing the settlement of the target building according to the extracted settlement observation data and the settlement amount to obtain a settlement analysis result, using the settlement analysis result as reference result information, finally, performing similarity matching on the reference result information and the target sensing signal sets, and detecting the settlement state of the target building based on the matching result to obtain the actual settlement state of the target building. So, set up n sensors in the different positions department of target building and detect target building, need not to be equipped with too much check out test set like this, and then can effectively reduce the control degree of difficulty and the complexity of building settlement detection technique, further carry out the analysis through the subsidence of detection center to target building, can confirm the settlement state of building accurately fast.
In specific implementation, in order to realize fast grouping of different first sensing signal sets and further accurately obtain a target sensing signal set, and set up that the grouped target sensing signal set is convenient to look up at a later stage, the method described in step S120 includes extracting settlement data corresponding to the image signal and a settlement distance corresponding to the pressure signal, and performing statistics and storage on the different first sensing signal sets according to the settlement data and the settlement distance to obtain the target sensing signal set, which may specifically include the contents described in steps S1201 to S1204 below.
Step S1201, extracting settlement data corresponding to the image signal and a settlement distance corresponding to the pressure signal, where the settlement data and the settlement distance respectively include a plurality of settlement values with different weights.
Step S1202, extracting a reference image signal record of one of the sedimentation values of the image signal in the sedimentation data, and determining a sedimentation value having a minimum weight among the sedimentation distances as a target distance.
Step S1203, inputting the reference image signal record into the target distance according to a preset input path, obtaining a target input point in the target distance, and generating a correlation diagram between the image signal and the pressure signal based on the reference image signal record and the target input point.
Step S1204, grouping different first sensing signal sets based on the association map to obtain a grouping sequence, and counting and storing the first sensing signal sets based on the grouping sequence to obtain a target sensing signal set.
Executing the contents described in steps S1201-S1204, inputting the extracted reference image signal record into a target distance to obtain a target input point, generating a correlation diagram between the image signal and the pressure signal based on the reference image signal record and the target input point, grouping different first sensing signal sets according to the correlation diagram to obtain a grouping sequence, and counting and storing the first sensing signal sets based on the grouping sequence to obtain a target sensing signal set. So, can realize carrying out quick grouping to the first sensing signal set of difference, and then the accurate target sensing signal set that obtains sets up simultaneously and makes things convenient for later stage back target sensing signal set to look up in the grouping.
In a specific implementation, in order to improve the accuracy of extracting the settlement observation data and the settlement amount, the extracting of the settlement observation data and the settlement amount corresponding to the second sensing signal set described in step S130 may specifically include the contents described in the following sub-step S1301 to step S1303.
And step S1301, extracting the settlement displacement corresponding to the second sensing signal set, wherein the settlement displacement is used for representing the difference value between the settlement corresponding to the target building and a preset settlement.
Step S1302, selecting a reference settlement displacement from the settlement displacements, and extracting settlement information of the target building from the reference settlement displacement.
And step S1303, screening the reference settlement displacement in a second sensing signal set where the target building settlement information is located to obtain actual settlement information, and extracting settlement observation data and settlement corresponding to the second sensing signal set based on the actual settlement information.
And executing the contents described in the steps S1301 to S1303, selecting a reference settlement displacement from the extracted settlement displacements, extracting the settlement information of the target building from the reference settlement displacement, further screening the actual settlement information from the settlement information of the target building, and further extracting settlement observation data and settlement corresponding to the second sensing signal set based on the actual settlement information. Thus, the accuracy of extracting the settlement observation data and the settlement amount can be improved.
In a specific implementation, in order to accurately analyze the settlement condition of the target building, the settlement analysis result obtained by analyzing the settlement of the target building based on the settlement observation data and the settlement amount described in step S140 may specifically include the contents described in steps S1401 to S1404 below.
Step 1401, testing whether abnormal data exists in the settlement observation data to obtain a data test result.
Step S1402, when the data test result indicates that abnormal data exists in the settlement observation data, obtaining an acquisition time point of the abnormal data according to first key data corresponding to the settlement observation data of the target building and second key data corresponding to the abnormal data.
Step S1403, delete the observed abnormal data based on the acquisition time point to obtain target settlement observation data.
Step S1404, performing real-time dynamic detection on the settlement of the target building based on the target settlement observation data and the settlement amount to obtain a detection value, and performing comparative analysis on the detection value and a historical detection value to obtain a settlement analysis result.
The contents described in steps S1401 to S1404, testing whether there is abnormal data in the settlement observation data to obtain a data test result, obtaining an acquisition time point of the abnormal data when there is the abnormal data, performing a deletion operation on the observed abnormal data based on the acquisition time point to obtain target settlement observation data, further performing real-time dynamic detection to obtain a detection value, and performing a comparative analysis on the detection value and a historical detection value to obtain a settlement analysis result. Therefore, the settlement condition of the target building can be accurately analyzed.
In practical implementation, in order to accurately determine the reference result information, the reference result information obtained by combining the settlement analysis results into the target result sequence as described in step S140 may further include the following descriptions of step S1405-step S1408.
Step S1405, recording the same indexes in the sedimentation analysis result as similar indexes; the similar indexes are obtained by analyzing the sedimentation analysis result.
Step S1406, obtaining the index characteristic information corresponding to the similar index, and dividing the index characteristic information into a plurality of information sets with different sequence numbers according to a preset grouping ratio.
Step S1407, obtaining the classification numbers corresponding to the sedimentation analysis results according to the plurality of information sets with different sequence numbers obtained by division, and ranking the classification numbers according to the sequence from small to large to obtain the ranking results.
And step S1408, mapping the settlement analysis result to the ranking result according to a preset mapping proportion to obtain a target result sequence, and taking the target result sequence as reference result information for detecting the settlement of the target building.
Executing the contents described in step S1405-step S1408, firstly recording the same index in the settlement analysis result as a similar index, further obtaining index feature information corresponding to the similar index, dividing the index feature information into a plurality of information sets with different sequence numbers, secondly obtaining a classification number corresponding to the settlement analysis result, and performing number ranking on the classification number to obtain a number ranking result, and finally mapping the settlement analysis result into the number ranking result according to a preset mapping ratio to obtain a target result sequence, and taking the target result sequence as reference result information for detecting the settlement of the target building. Thus, the reference result information can be accurately determined.
Further, the similarity matching between the reference result information and the target sensing signal set in step S150, and detecting the settlement state of the target building based on the matching result to obtain the actual settlement state of the target building may specifically include the following contents described in steps S1501 to S1505.
Step S1501, obtaining the matching ratio of the reference result information and the target sensing signal set and determining a reference ratio based on the matching ratio.
Step S1502, obtaining building environment information in the process of detecting the settlement state of the target building, and obtaining a matching degree of the target sensing signal set in the building environment information.
Step S1503, obtaining an actual ratio of the reference result information to the target sensing signal set by using a matching degree of the target sensing signal set in the building environment information, and determining whether the actual ratio matches the reference ratio.
And S1504, if the difference values are not matched, optimizing the target sensing signal set according to the reference ratio, acquiring an optimized value of the building environment information according to the optimized target sensing signal set, performing similarity matching between reference result information and the target sensing signal set based on the optimized value, and detecting the settlement state of the target building based on the matching result to obtain the actual settlement state of the target building.
Step S1505, if matching, detecting the settlement state of the target building according to the matching result to obtain the actual settlement state of the target building.
By executing the contents described in steps S1501 to S1505, the sedimentation state of the target building is detected by performing similarity matching between the reference result information and the target sensing signal set, so that the actual sedimentation state of the target building can be accurately detected.
Based on the same inventive concept, the management system for detecting the building settlement comprises a detection center and n sensors, wherein the detection center is communicated with each sensor, the n sensors are arranged at different positions of a target building, and n is a positive integer;
the detection center is used for:
acquiring different first sensing signal sets acquired by each sensor in the n sensors and used for detecting the settlement state of the target building; wherein the first set of sensing signals comprises image signals and pressure signals;
extracting settlement data corresponding to the image signals and settlement distances corresponding to the pressure signals, and counting and storing different first sensing signal sets according to the settlement data and the settlement distances to obtain a target sensing signal set;
acquiring different second sensing signal sets acquired by each sensor of the n sensors and used for detecting the settlement state of the target building, and extracting settlement observation data and settlement amount corresponding to the second sensing signal sets; wherein the settlement observation data is used for representing an observation value of the settlement of the target building, and the settlement amount is used for representing the depth of the settlement of the target building;
analyzing the settlement of the target building based on the settlement observation data and the settlement amount to obtain a settlement analysis result, and forming a target result sequence by the settlement analysis result to be used as reference result information for detecting the settlement of the target building;
and performing similarity matching on the reference result information and a target sensing signal set, and detecting the settlement state of the target building based on the matching result to obtain the actual settlement state of the target building.
Optionally, the detection center is specifically configured to:
extracting settlement data corresponding to the image signal and a settlement distance corresponding to the pressure signal, wherein the settlement data and the settlement distance respectively comprise a plurality of settlement values with different weights;
extracting a reference image signal record of one of sedimentation values of the image signal in the sedimentation data, and determining the sedimentation value with the minimum weight in the sedimentation distance as a target distance;
inputting the reference image signal record into the target distance according to a preset input path, obtaining a target input point in the target distance, and generating a correlation diagram between the image signal and the pressure signal based on the reference image signal record and the target input point;
grouping different first sensing signal sets based on the association diagram to obtain a grouping sequence, and counting and storing the first sensing signal sets based on the grouping sequence to obtain a target sensing signal set.
Optionally, the detection center is specifically configured to:
extracting the settlement displacement corresponding to the second sensing signal set; the settlement displacement is used for representing the difference value between the settlement amount corresponding to the target building and a preset settlement amount;
selecting a reference settlement displacement from the settlement displacements, and extracting settlement information of the target building from the reference settlement displacement;
and screening in a second sensing signal set where the target building settlement information is located according to the reference settlement displacement to obtain actual settlement information, and extracting settlement observation data and settlement corresponding to the second sensing signal set based on the actual settlement information.
Optionally, the detection center is specifically configured to:
testing whether abnormal data exist in the settlement observation data to obtain a data test result;
when the data test result indicates that abnormal data exist in the settlement observation data, obtaining an acquisition time point of the abnormal data according to first key data corresponding to the settlement observation data of the target building and second key data corresponding to the abnormal data;
deleting the observed abnormal data based on the acquisition time point to obtain target settlement observation data;
and carrying out real-time dynamic detection on the settlement of the target building based on the target settlement observation data and the settlement amount to obtain a detection value, and carrying out comparative analysis on the detection value and a historical detection value to obtain a settlement analysis result.
Optionally, the detection center is specifically configured to:
recording the same indexes in the sedimentation analysis result as similar indexes; the similar indexes are obtained by analyzing the sedimentation analysis result;
acquiring index characteristic information corresponding to the similar indexes, and dividing the index characteristic information into a plurality of information sets with different sequence numbers according to a preset grouping proportion;
obtaining classification numbers corresponding to the sedimentation analysis results according to a plurality of information sets with different sequence numbers obtained through division, and carrying out numbering on the classification numbers according to the sequence from small to large to obtain a numbering result;
and mapping the settlement analysis result into the ranking result according to a preset mapping proportion to obtain a target result sequence, and taking the target result sequence as reference result information for detecting the settlement of the target building.
On the basis of the above, please refer to fig. 3 in combination, there is provided a detection center 200, which includes a processor 211, a memory 212 connected to the processor 211, and a bus 213; wherein, the processor 211 and the memory 212 complete the communication with each other through the bus 213; the processor 211 is configured to call the program instructions in the memory 212 to execute the above-mentioned method.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. A management method for detecting the settlement of a building, applied to a detection center communicating with n sensors installed at different locations of a target building, n being a positive integer, the method comprising:
acquiring different first sensing signal sets acquired by each sensor in the n sensors and used for detecting the settlement state of the target building; wherein the first set of sensing signals comprises image signals and pressure signals;
extracting settlement data corresponding to the image signals and settlement distances corresponding to the pressure signals, and counting and storing different first sensing signal sets according to the settlement data and the settlement distances to obtain a target sensing signal set;
acquiring different second sensing signal sets acquired by each sensor of the n sensors and used for detecting the settlement state of the target building, and extracting settlement observation data and settlement amount corresponding to the second sensing signal sets; wherein the settlement observation data is used for representing an observation value of the settlement of the target building, and the settlement amount is used for representing the depth of the settlement of the target building;
analyzing the settlement of the target building based on the settlement observation data and the settlement amount to obtain a settlement analysis result, and forming a target result sequence by the settlement analysis result to be used as reference result information for detecting the settlement of the target building;
and performing similarity matching on the reference result information and a target sensing signal set, and detecting the settlement state of the target building based on the matching result to obtain the actual settlement state of the target building.
2. The management method according to claim 1, wherein the method includes extracting settlement data corresponding to the image signal and a settlement distance corresponding to the pressure signal, and performing statistics and storage on different first sensing signal sets according to the settlement data and the settlement distance to obtain a target sensing signal set, and specifically includes:
extracting settlement data corresponding to the image signal and a settlement distance corresponding to the pressure signal, wherein the settlement data and the settlement distance respectively comprise a plurality of settlement values with different weights;
extracting a reference image signal record of one of sedimentation values of the image signal in the sedimentation data, and determining the sedimentation value with the minimum weight in the sedimentation distance as a target distance;
inputting the reference image signal record into the target distance according to a preset input path, obtaining a target input point in the target distance, and generating a correlation diagram between the image signal and the pressure signal based on the reference image signal record and the target input point;
grouping different first sensing signal sets based on the association diagram to obtain a grouping sequence, and counting and storing the first sensing signal sets based on the grouping sequence to obtain a target sensing signal set.
3. The management method for detecting building settlement according to claim 1, wherein the extracting settlement observation data and the settlement amount corresponding to the second sensing signal set specifically includes:
extracting the settlement displacement corresponding to the second sensing signal set; the settlement displacement is used for representing the difference value between the settlement amount corresponding to the target building and a preset settlement amount;
selecting a reference settlement displacement from the settlement displacements, and extracting settlement information of the target building from the reference settlement displacement;
and screening in a second sensing signal set where the target building settlement information is located according to the reference settlement displacement to obtain actual settlement information, and extracting settlement observation data and settlement corresponding to the second sensing signal set based on the actual settlement information.
4. The management method for detecting building settlement according to claim 1, wherein the settlement analysis result obtained by analyzing the settlement of the target building based on the settlement observation data and the settlement amount specifically includes:
testing whether abnormal data exist in the settlement observation data to obtain a data test result;
when the data test result indicates that abnormal data exist in the settlement observation data, obtaining an acquisition time point of the abnormal data according to first key data corresponding to the settlement observation data of the target building and second key data corresponding to the abnormal data;
deleting the observed abnormal data based on the acquisition time point to obtain target settlement observation data;
and carrying out real-time dynamic detection on the settlement of the target building based on the target settlement observation data and the settlement amount to obtain a detection value, and carrying out comparative analysis on the detection value and a historical detection value to obtain a settlement analysis result.
5. The management method for detecting building settlement according to claim 1, wherein the settlement analysis results are combined into a target result sequence as reference result information for detecting the settlement of the target building, and specifically comprises:
recording the same indexes in the sedimentation analysis result as similar indexes; the similar indexes are obtained by analyzing the sedimentation analysis result;
acquiring index characteristic information corresponding to the similar indexes, and dividing the index characteristic information into a plurality of information sets with different sequence numbers according to a preset grouping proportion;
obtaining classification numbers corresponding to the sedimentation analysis results according to a plurality of information sets with different sequence numbers obtained through division, and carrying out numbering on the classification numbers according to the sequence from small to large to obtain a numbering result;
and mapping the settlement analysis result into the ranking result according to a preset mapping proportion to obtain a target result sequence, and taking the target result sequence as reference result information for detecting the settlement of the target building.
6. A management system for detecting the settlement of a building, comprising a detection centre in communication with each sensor and n sensors mounted at different locations of a target building, n being a positive integer;
the detection center is used for:
acquiring different first sensing signal sets acquired by each sensor in the n sensors and used for detecting the settlement state of the target building; wherein the first set of sensing signals comprises image signals and pressure signals;
extracting settlement data corresponding to the image signals and settlement distances corresponding to the pressure signals, and counting and storing different first sensing signal sets according to the settlement data and the settlement distances to obtain a target sensing signal set;
acquiring different second sensing signal sets acquired by each sensor of the n sensors and used for detecting the settlement state of the target building, and extracting settlement observation data and settlement amount corresponding to the second sensing signal sets; wherein the settlement observation data is used for representing an observation value of the settlement of the target building, and the settlement amount is used for representing the depth of the settlement of the target building;
analyzing the settlement of the target building based on the settlement observation data and the settlement amount to obtain a settlement analysis result, and forming a target result sequence by the settlement analysis result to be used as reference result information for detecting the settlement of the target building;
and performing similarity matching on the reference result information and a target sensing signal set, and detecting the settlement state of the target building based on the matching result to obtain the actual settlement state of the target building.
7. Management system for detecting the settlement of buildings according to claim 6, characterized in that said detection center is particularly adapted to:
extracting settlement data corresponding to the image signal and a settlement distance corresponding to the pressure signal, wherein the settlement data and the settlement distance respectively comprise a plurality of settlement values with different weights;
extracting a reference image signal record of one of sedimentation values of the image signal in the sedimentation data, and determining the sedimentation value with the minimum weight in the sedimentation distance as a target distance;
inputting the reference image signal record into the target distance according to a preset input path, obtaining a target input point in the target distance, and generating a correlation diagram between the image signal and the pressure signal based on the reference image signal record and the target input point;
grouping different first sensing signal sets based on the association diagram to obtain a grouping sequence, and counting and storing the first sensing signal sets based on the grouping sequence to obtain a target sensing signal set.
8. Management system for detecting the settlement of buildings according to claim 6, characterized in that said detection center is particularly adapted to:
extracting the settlement displacement corresponding to the second sensing signal set; the settlement displacement is used for representing the difference value between the settlement amount corresponding to the target building and a preset settlement amount;
selecting a reference settlement displacement from the settlement displacements, and extracting settlement information of the target building from the reference settlement displacement;
and screening in a second sensing signal set where the target building settlement information is located according to the reference settlement displacement to obtain actual settlement information, and extracting settlement observation data and settlement corresponding to the second sensing signal set based on the actual settlement information.
9. Management system for detecting the settlement of buildings according to claim 6, characterized in that said detection center is particularly adapted to:
testing whether abnormal data exist in the settlement observation data to obtain a data test result;
when the data test result indicates that abnormal data exist in the settlement observation data, obtaining an acquisition time point of the abnormal data according to first key data corresponding to the settlement observation data of the target building and second key data corresponding to the abnormal data;
deleting the observed abnormal data based on the acquisition time point to obtain target settlement observation data;
and carrying out real-time dynamic detection on the settlement of the target building based on the target settlement observation data and the settlement amount to obtain a detection value, and carrying out comparative analysis on the detection value and a historical detection value to obtain a settlement analysis result.
10. Management system for detecting the settlement of buildings according to claim 6, characterized in that said detection center is particularly adapted to:
recording the same indexes in the sedimentation analysis result as similar indexes; the similar indexes are obtained by analyzing the sedimentation analysis result;
acquiring index characteristic information corresponding to the similar indexes, and dividing the index characteristic information into a plurality of information sets with different sequence numbers according to a preset grouping proportion;
obtaining classification numbers corresponding to the sedimentation analysis results according to a plurality of information sets with different sequence numbers obtained through division, and carrying out numbering on the classification numbers according to the sequence from small to large to obtain a numbering result;
and mapping the settlement analysis result into the ranking result according to a preset mapping proportion to obtain a target result sequence, and taking the target result sequence as reference result information for detecting the settlement of the target building.
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