CN117852774B - Mountain area canyon bridge long-term performance data acquisition method and system - Google Patents
Mountain area canyon bridge long-term performance data acquisition method and system Download PDFInfo
- Publication number
- CN117852774B CN117852774B CN202410244480.XA CN202410244480A CN117852774B CN 117852774 B CN117852774 B CN 117852774B CN 202410244480 A CN202410244480 A CN 202410244480A CN 117852774 B CN117852774 B CN 117852774B
- Authority
- CN
- China
- Prior art keywords
- data
- bridge
- canyon
- mountain
- source heterogeneous
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000007774 longterm Effects 0.000 title claims abstract description 68
- 238000000034 method Methods 0.000 title claims abstract description 43
- 210000001503 joint Anatomy 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims description 40
- 230000000007 visual effect Effects 0.000 claims description 27
- 230000007547 defect Effects 0.000 claims description 21
- 238000013461 design Methods 0.000 claims description 16
- 230000032683 aging Effects 0.000 claims description 10
- 238000000586 desensitisation Methods 0.000 claims description 10
- 230000001502 supplementing effect Effects 0.000 claims description 9
- 230000007613 environmental effect Effects 0.000 claims description 8
- 238000013507 mapping Methods 0.000 claims description 8
- 238000012986 modification Methods 0.000 claims description 7
- 230000004048 modification Effects 0.000 claims description 7
- 238000012800 visualization Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 5
- 238000002864 sequence alignment Methods 0.000 claims description 5
- 230000009469 supplementation Effects 0.000 claims description 4
- 238000004140 cleaning Methods 0.000 claims description 3
- 239000006185 dispersion Substances 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 238000012916 structural analysis Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 2
- 239000013589 supplement Substances 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 description 11
- 238000012423 maintenance Methods 0.000 description 9
- 230000000694 effects Effects 0.000 description 6
- 238000001514 detection method Methods 0.000 description 5
- 238000007405 data analysis Methods 0.000 description 4
- 230000008520 organization Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
Landscapes
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The invention provides a method and a system for collecting long-term performance data of a mountain canyon bridge, wherein the method comprises the following steps: based on bridge characteristics, different multi-source sensors are adopted to monitor mountain canyon bridges for a long time, multi-source heterogeneous observation data of the mountain canyon bridges are obtained, and data specification is carried out on the multi-source heterogeneous observation data; accessing the multi-source heterogeneous observed data after data specification based on a dynamic data interface standard, performing data missing processing on the accessed multi-source heterogeneous observed data based on a timing timestamp, and receiving active supplementary data when missing data exists; and carrying out key point butt joint on the multi-source heterogeneous observation data and the active supplementary data and the visualized elements of the mountain canyon bridge based on the receiving result, combining the butt joint result with the visualized three-dimensional scene, and sharing the combined visualized three-dimensional scene to be displayed at the management terminal. The comprehensiveness and reliability of the obtained long-term performance data are guaranteed.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a system for acquiring long-term performance data of a mountain canyon bridge.
Background
The mountain canyon bridge is an important tie for connecting mountain traffic and is greatly influenced by factors such as geographic environment, climate conditions, load change and the like, so that long-term performance data acquisition is important for ensuring safe operation and timely maintenance of the bridge;
however, at present, when long-term performance data of the mountain canyon bridge are acquired, manual inspection and sensor combination are adopted to collect the performance data of the mountain canyon bridge, so that conditions such as incomplete, untimely and missed inspection of the long-term performance data of the mountain canyon bridge are caused, and meanwhile, the quality reliability of the acquired long-term performance data of the mountain canyon bridge cannot be ensured due to factors such as equipment faults and the like in the use process of the sensor, so that the maintenance and management effects of the mountain canyon bridge are greatly reduced;
therefore, in order to overcome the defects, the invention provides a method and a system for acquiring long-term performance data of a mountain canyon bridge.
Disclosure of Invention
The invention provides a method and a system for acquiring long-term performance data of a mountain canyon bridge, which are used for carrying out long-term monitoring on the mountain canyon bridge by adopting corresponding multi-source sensors according to bridge characteristics, ensuring that the corresponding mountain canyon bridge is effectively monitored for a long time by adopting proper sensors, secondly, realizing automatic acquisition and receiving of the long-term performance data of the mountain canyon bridge by carrying out data standardization on the multi-source heterogeneous observed data monitored for a long time and accessing a data analysis end, carrying out data missing processing on the accessed multi-source heterogeneous observed data, timely receiving active supplementary data when missing data exists, ensuring the comprehensiveness and reliability of the obtained long-term performance data, finally, carrying out key point butt joint on the obtained multi-source heterogeneous observed data and the active supplementary data with visualized elements of the mountain canyon bridge, combining the obtained multi-source heterogeneous observed data with visualized three-dimensional scene to be displayed to a management terminal, and ensuring that each worker timely carries out accurate and effective real-time state on the mountain canyon bridge, thereby ensuring that the mountain canyon bridge is known about the maintenance effect of the mountain canyon bridge.
The invention provides a method for acquiring long-term performance data of a mountain canyon bridge, which comprises the following steps:
Step 1: based on bridge characteristics, different multi-source sensors are adopted to monitor mountain canyon bridges for a long time, multi-source heterogeneous observation data of the mountain canyon bridges are obtained, and data specification is carried out on the multi-source heterogeneous observation data;
step 2: accessing the multi-source heterogeneous observed data after data specification based on a dynamic data interface standard, performing data missing processing on the accessed multi-source heterogeneous observed data based on a timing timestamp, and receiving active supplementary data when missing data exists;
Step 3: and carrying out key point butt joint on the multi-source heterogeneous observation data and the active supplementary data and the visualized elements of the mountain canyon bridge based on the receiving result, combining the butt joint result with the visualized three-dimensional scene, and sharing the combined visualized three-dimensional scene to be displayed at the management terminal.
Preferably, in step 1, a method for collecting long-term performance data of a mountain canyon bridge uses different multi-source sensors to monitor the mountain canyon bridge for a long period based on bridge characteristics, including:
Acquiring a real image of a mountain canyon bridge, and extracting key points of the mountain canyon bridge based on the real image to obtain appearance characteristics of the mountain canyon bridge;
determining an identity index of the mountain canyon bridge based on the appearance characteristics, and calling a design manual of the mountain canyon bridge from a database based on the identity index;
determining structural design parameters of the mountain canyon bridge based on the design manual, and taking the structural design parameters as main characteristics;
meanwhile, determining the environmental condition of the position of the mountain canyon bridge based on the live-action image, and taking the environmental condition as a secondary characteristic;
And obtaining bridge characteristics of the mountain canyon bridge based on the main characteristics and the secondary characteristics.
Preferably, in step 1, different multi-source sensors are adopted to monitor the mountain canyon bridge for a long time based on bridge characteristics to obtain multi-source heterogeneous observation data of the mountain canyon bridge, which comprises the following steps:
Acquiring bridge characteristics of the mountain canyon bridge, determining a monitoring dimension of the mountain canyon bridge based on the bridge characteristics, and determining a multi-source sensor combination based on the monitoring dimension;
Setting the data reporting time point of each sensor in the multi-source sensor combination based on the monitoring requirement, and performing low-code configuration on the service monitoring range of each sensor based on the setting result;
and controlling each sensor to monitor the mountain canyon bridge for a long time based on the configuration result, and reporting the acquired data in a time-sharing manner based on the data reporting time point to obtain multi-source heterogeneous observation data of the mountain canyon bridge under the same time-space characteristic.
Preferably, in step 1, data normalization is performed on multi-source heterogeneous observation data, including:
The method comprises the steps of obtaining multi-source heterogeneous observation data, and cleaning the multi-source heterogeneous observation data;
Carrying out structural analysis on the cleaned multi-source heterogeneous observation data, determining sensitive data in the multi-source heterogeneous data, and carrying out pseudo-random modification on the sensitive data to obtain multi-source heterogeneous desensitization data;
And extracting a main object corresponding to the multi-source heterogeneous desensitization data, and converging the multi-source heterogeneous desensitization data based on the main object.
Preferably, in step 2, access is performed to multi-source heterogeneous observed data after data specification based on a dynamic data interface standard, including:
Analyzing the acquired service corresponding to the multi-source heterogeneous observation data, determining a data access protocol according to which each heterogeneous observation data is accessed, and analyzing the data access protocol to obtain the data access characteristic of each heterogeneous observation data;
Performing single data interface standard configuration on the data interface based on the data access characteristic, and generating a data interface configuration strategy library corresponding to each heterogeneous observation data based on the single data interface standard configuration result;
and calling a data interface configuration strategy from a data interface configuration strategy library based on the data characteristics of the heterogeneous observed data to be accessed for dynamic configuration, and accessing the heterogeneous observed data to be accessed based on a dynamic configuration result to finish the access operation of the multi-source heterogeneous observed data.
Preferably, in step 2, data missing processing is performed on the accessed multi-source heterogeneous observed data based on a timing timestamp, and when missing data exists, active supplementary data is received, including:
Analyzing the data acquisition task, determining an aging representation value and service requirements of the long-term performance data of the mountain canyon bridge acquired each time, and determining a timing time stamp when the performance data of the mountain canyon bridge is acquired based on the aging representation value and the service requirements;
Generating a time sequence based on the timing time stamp, and aligning the same-class time sequence of the multi-source heterogeneous observation data of different frequencies of the same mountain area canyon bridge main body based on the time attribute of the multi-source heterogeneous observation data;
Determining discrete features of the heterogeneous observation data of the same class on the time sequence based on the time sequence alignment result, and determining missing acquisition points existing in the heterogeneous observation data of the same class based on the discrete features;
Determining a mountain area canyon bridge body to be supplemented based on the missing acquisition points, and locking a management terminal corresponding to the mountain area canyon bridge body to be supplemented based on the authority management library;
Synchronously transmitting the reference report template and the data reporting flow to the management terminal, and changing the data reporting authority state of the management terminal based on the transmitting result;
Real-time monitoring a data report reported by a management terminal based on a change result, and extracting supplementary data in the data report;
and carrying out defect position supplementation on the extracted supplementary data in a time sequence based on the defect acquisition point to finish the receiving and processing of the active supplementary data.
The invention provides a long-term performance data acquisition system of a mountain canyon bridge, which comprises the following components:
The data standardization module is used for carrying out long-term monitoring on the mountain canyon bridge by adopting different multi-source sensors based on bridge characteristics to obtain multi-source heterogeneous observation data of the mountain canyon bridge, and carrying out data standardization on the multi-source heterogeneous observation data;
The data supplementing module is used for accessing the multi-source heterogeneous observed data after data specification based on the dynamic data interface standard, carrying out data defect searching processing on the accessed multi-source heterogeneous observed data based on the timing time stamp, and receiving active supplementing data when missing data exists;
The data sharing module is used for carrying out key point butt joint on the multi-source heterogeneous observation data and the active supplementary data and the visualized elements of the mountain canyon bridge based on the receiving result, combining the butt joint result with the visualized three-dimensional scene, and sharing the combined visualized three-dimensional scene to be displayed at the management terminal.
Compared with the prior art, the invention has the following beneficial effects:
1. The method has the advantages that the corresponding multisource sensors are adopted according to bridge characteristics to monitor the mountain canyon bridge for a long time, the corresponding mountain canyon bridge is effectively monitored for a long time through the appropriate sensors, secondly, the multisource heterogeneous observation data monitored for a long time are accessed to the data analysis end after being subjected to data standardization, automatic acquisition and receiving of the long-term performance data of the mountain canyon bridge are achieved, the data defect processing is carried out on the accessed multisource heterogeneous observation data, and when missing data exist, active supplementary data are timely received, the comprehensiveness and reliability of the obtained long-term performance data are guaranteed, finally, the obtained multisource heterogeneous observation data and the active supplementary data are subjected to key point butt joint with the visualized elements of the mountain canyon bridge to generate corresponding visualized three-dimensional scenes, the visualized three-dimensional scenes are shared to the management terminal, the fact that each worker timely and accurately and effectively knows the real-time state of the mountain canyon bridge is guaranteed.
2. The method comprises the steps of analyzing a data acquisition task, locking an aging representation value and service requirements of long-term performance data of a mountain canyon bridge in each time, wherein a timing timestamp is not determined, a time sequence is generated through the timing timestamp, and the source heterogeneous observed data in different acquisition time points are aligned in a same type according to the time sequence, so that data defect detection processing is conveniently and effectively carried out, locking missing data existing in multi-source heterogeneous observed data according to defect detection processing results is realized, finally, a mountain canyon bridge main body to be supplemented is determined according to the missing data, a management terminal with management authority is locked according to the determined mountain canyon bridge main body to be supplemented, and meanwhile, the data reporting authority state of the management terminal is changed, so that the management terminal can report corresponding active supplementary data through a data reporting flow, and convenience and guarantee are provided for maintenance and management of the mountain canyon bridge in the final obtained mountain canyon.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objects and other advantages of the application may be realized and obtained by means of the instrumentalities particularly pointed out in the specification.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a method for collecting long-term performance data of a mountain canyon bridge in an embodiment of the invention;
FIG. 2 is a flowchart of step 1 in a mountain canyon bridge long-term performance data acquisition method according to an embodiment of the invention;
fig. 3 is a block diagram of a system for collecting long-term performance data of a mountain canyon bridge in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1
The embodiment provides a method for collecting long-term performance data of a mountain canyon bridge, as shown in fig. 1, comprising the following steps:
Step 1: based on bridge characteristics, different multi-source sensors are adopted to monitor mountain canyon bridges for a long time, multi-source heterogeneous observation data of the mountain canyon bridges are obtained, and data specification is carried out on the multi-source heterogeneous observation data;
step 2: accessing the multi-source heterogeneous observed data after data specification based on a dynamic data interface standard, performing data missing processing on the accessed multi-source heterogeneous observed data based on a timing timestamp, and receiving active supplementary data when missing data exists;
Step 3: and carrying out key point butt joint on the multi-source heterogeneous observation data and the active supplementary data and the visualized elements of the mountain canyon bridge based on the receiving result, combining the butt joint result with the visualized three-dimensional scene, and sharing the combined visualized three-dimensional scene to be displayed at the management terminal.
In this embodiment, the bridge characteristics refer to the shape, structure, position distribution and other properties of the bridge of the canyon in different mountain areas, and the purpose is to determine the sensor used for monitoring the bridge of the canyon in the mountain areas according to the bridge characteristics.
In this embodiment, the multi-source sensor refers to a plurality of different kinds of sensors, and aims to monitor performance data of different angles of the mountain canyon bridge through the plurality of different sensors at the same time, so as to ensure comprehensiveness and reliability of the monitored long-term performance data of the mountain canyon bridge.
In this embodiment, the multi-source heterogeneous observation data refers to different kinds of data obtained after performance data of mountain canyon bridge data are monitored by the multi-source sensor, that is, parameter information representing different dimensional performance conditions of the mountain canyon bridge.
In this embodiment, the data specification refers to removing and classifying and summarizing abnormal data in the multi-source heterogeneous data, so as to facilitate access to the collected performance data.
In this embodiment, the dynamic data interface standard refers to adapting the data interface standard according to the type of heterogeneous observed data that needs to be accessed currently, so as to effectively receive different kinds of performance data through one data interface.
In this embodiment, accessing the multi-source heterogeneous observation data after data specification based on the dynamic data interface standard refers to accessing different kinds of long-term performance monitoring data to an analysis terminal for analysis processing through the dynamic data interface standard.
In this embodiment, the timing timestamp is determined from the data acquisition task and is used to characterize a specific point in time for long-term performance data acquisition for the mountain canyon bridge.
In this embodiment, performing the data defect checking process on the accessed multi-source heterogeneous observation data based on the timing time stamp refers to performing defect checking on the acquired multi-source heterogeneous observation data through the timing time stamp, so as to determine whether the situation that the long-term performance data of the mountain canyon bridge is not acquired at the data acquisition point exists, that is, ensure that the long-term performance data of the mountain canyon bridge can be automatically acquired at each timing time stamp.
In this embodiment, the missing data is long-term performance data that is not collected at the timing timestamp.
In this embodiment, the active supplementary data refers to that after missing data exists, a data report is sent to a management terminal, and the management personnel performs reporting and uploading on the data which is not collected, that is, the active reporting data and the automatic collecting data are combined, so that the obtained long-term performance data is ensured to be comprehensive and reliable, wherein the active supplementary data is obtained by the management personnel calling out the monitoring data from a sensor which is not used for timing and reporting the monitoring data actively and re-controlling the sensor to re-detect the bridge of the mountain canyon which is not monitored, and the called monitoring data and the re-detected detection data are filled in the data report and are subjected to reporting and uploading.
In this embodiment, performing key point butt joint on the multi-source heterogeneous observation data and the active supplementary data and the visualized elements of the mountain canyon bridge refers to associating the obtained multi-source heterogeneous observation data and the active supplementary data with each organization structure in the mountain canyon bridge and performing visualized display, namely synchronously displaying the specific organization structure state of the same organization structure and the monitored long-term performance data, so as to facilitate the staff to intuitively and effectively understand the real-time state of the mountain canyon bridge in time.
In this embodiment, the mountain canyon bridge visualization elements are each organized structure in the mountain canyon bridge.
In this embodiment, the to-be-displayed visual three-dimensional scene refers to a virtual picture that can display the real-time state of the mountain area canyon bridge through the display picture after the multi-source heterogeneous observation data and the active supplementary data are subjected to key point butt joint with the visualized elements of the mountain area canyon bridge and are combined with the existing visual three-dimensional scene of the mountain area canyon bridge.
In this embodiment, the management terminal refers to an intelligent terminal of each worker.
The beneficial effects of the technical scheme are as follows: the method has the advantages that the corresponding multisource sensors are adopted according to bridge characteristics to monitor the mountain canyon bridge for a long time, the corresponding mountain canyon bridge is effectively monitored for a long time through the appropriate sensors, secondly, the multisource heterogeneous observation data monitored for a long time are accessed to the data analysis end after being subjected to data standardization, automatic acquisition and receiving of the long-term performance data of the mountain canyon bridge are achieved, the data defect processing is carried out on the accessed multisource heterogeneous observation data, and when missing data exist, active supplementary data are timely received, the comprehensiveness and reliability of the obtained long-term performance data are guaranteed, finally, the obtained multisource heterogeneous observation data and the active supplementary data are in key point butt joint with the visualized elements of the mountain canyon bridge and are combined with the visualized three-dimensional scene, the combined visualized three-dimensional scene to be displayed is shared to the management terminal, and accordingly, the real-time state of the mountain canyon bridge is accurately and effectively known by workers in time, and the maintenance and management effects of the mountain canyon bridge are guaranteed.
Example 2
On the basis of embodiment 1, this embodiment provides a mountain area canyon bridge long-term performance data acquisition method, and in step 1, different multisource sensors are adopted to monitor the mountain area canyon bridge for a long time based on bridge characteristics, including:
Acquiring a real image of a mountain canyon bridge, and extracting key points of the mountain canyon bridge based on the real image to obtain appearance characteristics of the mountain canyon bridge;
determining an identity index of the mountain canyon bridge based on the appearance characteristics, and calling a design manual of the mountain canyon bridge from a database based on the identity index;
determining structural design parameters of the mountain canyon bridge based on the design manual, and taking the structural design parameters as main characteristics;
meanwhile, determining the environmental condition of the position of the mountain canyon bridge based on the live-action image, and taking the environmental condition as a secondary characteristic;
And obtaining bridge characteristics of the mountain canyon bridge based on the main characteristics and the secondary characteristics.
In this embodiment, the key points refer to important building structure positions in the mountain canyon bridge, such as the junction between the bridge and the deck.
In this embodiment, the appearance features refer to the shape of the mountain canyon bridge, the connection between the building components, and the like.
In this embodiment, the identity index refers to tag information that can characterize the identity of the mountain canyon bridge, and provides a search basis for retrieving a design manual for the mountain canyon bridge.
In this embodiment, the environmental conditions refer to the location of the mountain canyon bridge and the corresponding span, distance from the bottom of the canyon, and so forth.
The beneficial effects of the technical scheme are as follows: the method has the advantages that the real images of the mountain canyon bridge are analyzed, the appearance characteristics and the structural design parameters of the mountain canyon bridge are accurately and effectively determined, the environmental conditions of the mountain canyon bridge are analyzed, the appearance characteristics and the structural design parameters of the mountain canyon bridge are summarized, the bridge characteristics of the mountain canyon bridge are accurately and effectively determined, convenience is provided for determining the multi-source sensor, and the long-term performance data acquisition effect of the mountain canyon bridge is ensured.
Example 3
On the basis of embodiment 1, this embodiment provides a method for collecting long-term performance data of a mountain canyon bridge, as shown in fig. 2, in step 1, different multi-source sensors are used to monitor the mountain canyon bridge for a long time based on bridge characteristics, so as to obtain multi-source heterogeneous observation data of the mountain canyon bridge, including:
Step 101: acquiring bridge characteristics of the mountain canyon bridge, determining a monitoring dimension of the mountain canyon bridge based on the bridge characteristics, and determining a multi-source sensor combination based on the monitoring dimension;
Step 102: setting the data reporting time point of each sensor in the multi-source sensor combination based on the monitoring requirement, and performing low-code configuration on the service monitoring range of each sensor based on the setting result;
Step 103: and controlling each sensor to monitor the mountain canyon bridge for a long time based on the configuration result, and reporting the acquired data in a time-sharing manner based on the data reporting time point to obtain multi-source heterogeneous observation data of the mountain canyon bridge under the same time-space characteristic.
In this embodiment, the monitoring dimension refers to the category of the project for monitoring the mountain canyon bridge, and may be, for example, stability, whether a crack occurs in the mountain canyon bridge, or not.
In this embodiment, a multisource sensor combination refers to all monitoring sensors corresponding to different monitoring dimensions.
In this embodiment, the monitoring requirements are known in advance.
In this embodiment, the low-code configuration of the service monitoring range of each sensor refers to adjusting the working parameters and monitoring sensitivity of each sensor according to the monitoring requirements.
The beneficial effects of the technical scheme are as follows: the monitoring dimension of the mountain canyon bridge is locked according to the bridge characteristics, so that the multi-source sensor is accurately and effectively determined according to the monitoring dimension, the data reporting time points of the sensors in the multi-source sensor are set according to the monitoring requirements, the low-code configuration is carried out on the service monitoring range of each sensor, the reliability and pertinence of the long-term performance data acquisition of the mountain canyon bridge are ensured, finally, the mountain canyon bridge is monitored for a long time through the configuration result, the monitored data are reported in a time-sharing mode, the comprehensive and effective acquisition of the long-term performance data of the mountain canyon bridge at different time points is realized, and the accuracy and the reliability of the acquired long-term performance data are also ensured.
Example 4
On the basis of embodiment 1, the embodiment provides a method for acquiring long-term performance data of a mountain canyon bridge, wherein in step 1, data specification is performed on multi-source heterogeneous observed data, and the method comprises the following steps:
The method comprises the steps of obtaining multi-source heterogeneous observation data, and cleaning the multi-source heterogeneous observation data;
Carrying out structural analysis on the cleaned multi-source heterogeneous observation data, determining sensitive data in the multi-source heterogeneous data, and carrying out pseudo-random modification on the sensitive data to obtain multi-source heterogeneous desensitization data;
And extracting a main object corresponding to the multi-source heterogeneous desensitization data, and converging the multi-source heterogeneous desensitization data based on the main object.
In this embodiment, the sensitive data refers to critical data in the multi-source heterogeneous data, i.e., critical design data that cannot be declared externally.
In this embodiment, the pseudo-random modification refers to performing random transformation on the sensitive data according to a preset transformation rule, so as to reduce the sensitivity of the sensitive data, where the multi-element heterogeneous desensitized data is a pseudo-random modification result.
In this embodiment, the subject object refers to a building component in a mountain canyon bridge to which the multi-source heterogeneous desensitization data corresponds.
The beneficial effects of the technical scheme are as follows: the acquired multi-source heterogeneous observation data are cleaned, the accuracy of the finally obtained multi-source heterogeneous observation data is ensured, the cleaned multi-source heterogeneous observation data are desensitized, the confidentiality of key data in mountain canyon bridges is ensured, and finally the multi-source heterogeneous observation data are converged according to main body objects corresponding to the data, so that the multi-source heterogeneous observation data are accurately and comprehensively automatically acquired and regulated, and convenience and guarantee are provided for maintenance of mountain canyon bridges.
Example 5
Based on embodiment 1, the embodiment provides a method for collecting long-term performance data of a mountain canyon bridge, in step 2, access is performed on multi-source heterogeneous observed data after data specification based on a dynamic data interface standard, including:
Analyzing the acquired service corresponding to the multi-source heterogeneous observation data, determining a data access protocol according to which each heterogeneous observation data is accessed, and analyzing the data access protocol to obtain the data access characteristic of each heterogeneous observation data;
Performing single data interface standard configuration on the data interface based on the data access characteristic, and generating a data interface configuration strategy library corresponding to each heterogeneous observation data based on the single data interface standard configuration result;
and calling a data interface configuration strategy from a data interface configuration strategy library based on the data characteristics of the heterogeneous observed data to be accessed for dynamic configuration, and accessing the heterogeneous observed data to be accessed based on a dynamic configuration result to finish the access operation of the multi-source heterogeneous observed data.
In this embodiment, the acquisition traffic is known in advance, and is characterized by the number of acquisitions, acquisition requirements, etc. for the multi-source heterogeneous observation data.
In this embodiment, the data access protocol is used to characterize the definition of the data format and transmission scheme for each of the heterogeneous observations.
In this embodiment, the data access characteristic refers to a specific data format, a transmission mode, and the like according to which each of the anisotropic observation data is accessed.
In this embodiment, the single data interface standard configuration refers to parameter configuration of corresponding data interfaces according to data access characteristics of different heterogeneous observation data, where the data interface configuration policy base is a result obtained by performing single data interface standard configuration on data interfaces of each heterogeneous observation data, including configuration situations of all data interfaces.
In this embodiment, the data characteristics refer to the data type of the heterogeneous observation data.
The beneficial effects of the technical scheme are as follows: the method comprises the steps of analyzing the acquired service corresponding to the multi-source heterogeneous observation data, determining the data access protocol according to which different types of heterogeneous observation data are accessed, so that the accurate and effective determination of the data access characteristics of the different types of heterogeneous observation data are facilitated, configuring a single data interface standard for a data interface through the data access characteristics, generating a data interface configuration strategy library according to the configuration result, conveniently and dynamically configuring the data interface by timely retrieving corresponding configuration parameters from the data interface configuration strategy library when the heterogeneous observation data to be accessed are changed, and finally accessing the corresponding heterogeneous observation data to be accessed according to the dynamic configuration result, thereby ensuring the accurate and effective acquisition and receiving of the acquired long-term performance monitoring data and providing reliable data support for workers to know the performance condition of a mountain and canyon bridge in time.
Example 6
On the basis of embodiment 1, the embodiment provides a method for collecting long-term performance data of a mountain canyon bridge, in step2, data missing processing is performed on accessed multi-source heterogeneous observed data based on a timing timestamp, and when missing data exists, active supplementary data is received, including:
Analyzing the data acquisition task, determining an aging representation value and service requirements of the long-term performance data of the mountain canyon bridge acquired each time, and determining a timing time stamp when the performance data of the mountain canyon bridge is acquired based on the aging representation value and the service requirements;
Generating a time sequence based on the timing time stamp, and aligning the same-class time sequence of the multi-source heterogeneous observation data of different frequencies of the same mountain area canyon bridge main body based on the time attribute of the multi-source heterogeneous observation data;
Determining discrete features of the heterogeneous observation data of the same class on the time sequence based on the time sequence alignment result, and determining missing acquisition points existing in the heterogeneous observation data of the same class based on the discrete features;
Determining a mountain area canyon bridge body to be supplemented based on the missing acquisition points, and locking a management terminal corresponding to the mountain area canyon bridge body to be supplemented based on the authority management library;
Synchronously transmitting the reference report template and the data reporting flow to the management terminal, and changing the data reporting authority state of the management terminal based on the transmitting result;
Real-time monitoring a data report reported by a management terminal based on a change result, and extracting supplementary data in the data report;
and carrying out defect position supplementation on the extracted supplementary data in a time sequence based on the defect acquisition point to finish the receiving and processing of the active supplementary data.
In this embodiment, the age characteristic value refers to an effective duration that the collected mountain canyon bridge long-term performance data can characterize the mountain canyon bridge performance.
In this embodiment, the business requirements refer to the purpose of analyzing the collected long-term performance data of the mountain canyon bridge, the severity of the analysis, and the like.
In this embodiment, the timing timestamp refers to a specific point in time when the mountain canyon bridge long-term performance data is collected.
In this embodiment, the time series is a result obtained by arranging the corresponding timing time stamps at each acquisition time.
In this embodiment, the time attribute refers to specific time information corresponding to when the multi-source heterogeneous observation data is acquired.
In this embodiment, performing the same-category time-series alignment on the multi-source heterogeneous observation data of different frequencies of the same mountain area canyon bridge body based on the time attribute of the multi-source heterogeneous observation data refers to performing correspondence on the multi-source heterogeneous observation data of the same category under different acquisition conditions, so as to determine whether the corresponding mountain area canyon bridge long-term performance data is acquired under each timing time stamp.
In this embodiment, discrete features refer to the distribution of heterogeneous observations of the same class over time, thereby facilitating a determination of whether missing data is present.
In this embodiment, the missing collection points refer to points in time where there is no collection of long-term performance data for mountain canyon bridges.
In this embodiment, the mountain canyon bridge body to be supplemented refers to a building component corresponding to data not collected corresponding to the missing collection point.
In this embodiment, the rights management library is known in advance and is used to record management terminal information for monitoring and managing the canyon bridge body to be supplemented in the mountain area.
In this embodiment, changing the data reporting authority status of the management terminal based on the issuing result refers to changing the data reporting authority of the management terminal to be capable of performing uplink data transmission after sending the reference report template and the data reporting flow to the management terminal.
The beneficial effects of the technical scheme are as follows: the method comprises the steps of analyzing a data acquisition task, locking an aging representation value and service requirements of long-term performance data of a mountain canyon bridge in each time, guaranteeing a timing time stamp, generating a time sequence through the timing time stamp, and carrying out same-class time sequence alignment on source heterogeneous observed data in different acquisition time points according to the time sequence, so that data defect detection processing is conveniently and effectively carried out, locking missing data existing in multi-source heterogeneous observed data according to defect detection processing results is realized, finally, a mountain canyon bridge main body to be supplemented is determined according to the missing data, locking a management terminal with management authority according to the determined mountain canyon bridge main body to be supplemented, and simultaneously changing a data reporting authority state of the management terminal, so that the management terminal can report corresponding active supplementary data through a data reporting flow, and convenience and guarantee are provided for maintenance and management of the mountain canyon bridge in the final obtained mountain canyon.
Example 7
On the basis of embodiment 1, the embodiment provides a method for acquiring long-term performance data of a mountain canyon bridge, in step 3, multi-source heterogeneous observation data and active supplementary data are subjected to key point butt joint with a mountain canyon bridge visualization element based on a receiving result, and the butt joint result is combined with a visualized three-dimensional scene, which comprises the following steps:
The method comprises the steps of obtaining multi-source heterogeneous observation data and active supplementary data, and supplementing the multi-source heterogeneous observation data based on the active supplementary data to obtain complete multi-source heterogeneous observation data;
Performing structure splitting on the virtual model of the mountain canyon bridge based on a computer to obtain a component structure set of the mountain canyon bridge, and determining the monitored attribute of each component structure based on the functional characteristics of each component structure in the component structure set;
screening the component structure based on the monitored attribute to determine mountain canyon bridge visualization elements;
Performing object dispersion on the complete multi-source heterogeneous observation data based on the monitored attribute to obtain multi-point observation data, and performing point location mapping association on the multi-point observation data and the visualized elements of the mountain area canyon bridge;
Combining the point location mapping association result under each acquisition time point with the visual three-dimensional scene, and performing order sorting on the combined visual three-dimensional scene to be displayed under each acquisition time point based on a time axis.
In this embodiment, the virtual model is built in advance in the computer, consistent with the structural features of the mountain canyon bridge.
In this embodiment, the assembly structure set refers to all building components obtained by structural splitting of the virtual model of the mountain canyon bridge in the computer.
In this embodiment, the functional features refer to the role that each component structure plays in the mountain canyon bridge.
In this embodiment, the monitored attribute refers to the monitoring strength of each component structure, that is, whether the component architecture needs to be monitored.
In this embodiment, the mountain canyon bridge visualization element refers to a component structure that requires visual display.
In this embodiment, performing object discretization on the complete multi-source heterogeneous observation data based on the monitored attribute refers to splitting the complete multi-source heterogeneous observation data into specific observation data corresponding to each component structure.
The beneficial effects of the technical scheme are as follows: the multisource heterogeneous observation data are perfected through the initiative supplementary data, the completeness and reliability of the finally obtained multisource heterogeneous observation data are ensured, secondly, the virtual model of the mountain canyon bridge is subjected to structural splitting through a computer, the split organization structure is screened according to the monitored attribute, the accurate and effective determination of the visualized elements of the mountain canyon bridge is realized, finally, the complete multisource heterogeneous observation data are subjected to point location mapping on the visualized elements of the mountain canyon bridge, and the visualized three-dimensional scene is accurately and effectively combined, so that management staff can accurately and effectively know the real-time state of the mountain canyon bridge.
Example 8
On the basis of embodiment 7, the embodiment provides a method for acquiring long-term performance data of a mountain canyon bridge, which combines point location mapping association results under each acquisition time point with a visual three-dimensional scene, and comprises the following steps:
determining the display requirement of the visual three-dimensional scene to be displayed, and determining the multi-element display angle of the visual three-dimensional scene to be displayed based on the display requirement;
Performing visual display configuration on the display time interval and the display form of key display points of the visual three-dimensional scene to be displayed based on the multi-element display angle, and performing display mode setting on the visual three-dimensional scene to be displayed based on the visual display configuration result;
and displaying the visual three-dimensional scene to be displayed based on the display mode setting result.
In this embodiment, the display requirement refers to a display method of a visual three-dimensional scene to be displayed, a requirement of a display mode, and the like.
In this embodiment, the multiple display angles refer to display items and display types when the visual three-dimensional scene to be displayed is visually displayed.
The beneficial effects of the technical scheme are as follows: the method comprises the steps of determining the display requirement of the visual three-dimensional scene to be displayed, accurately and effectively determining the multi-element display angle of the visual three-dimensional scene to be displayed, performing visual display configuration according to the display time interval and the display form of key display points of the visual three-dimensional scene to be displayed according to the multi-element display angle, and finally setting a display model according to the configuration result, so that the visual three-dimensional scene to be displayed is accurately and effectively displayed.
Example 9
On the basis of embodiment 1, the present embodiment provides a method for collecting long-term performance data of a mountain canyon bridge, in step 3, sharing a combined visual three-dimensional scene to be displayed at a management terminal, including:
Determining a manager set corresponding to each mountain canyon bridge based on the geographical position distribution diagram of the mountain canyon bridge and the manager regional distribution diagram, and locking management terminals of each manager in the manager set;
and synchronously transmitting the visual three-dimensional scene to be displayed corresponding to the regional canyon bridge to the management terminal for sharing based on the locking result.
The beneficial effects of the technical scheme are as follows: the manager terminals of different mountain canyon bridges are locked, and the generated visual three-dimensional scene to be displayed is synchronously issued to the manager terminals for sharing according to the locking result, so that each manager can know the real-time state of the mountain canyon bridge conveniently, and the maintenance and management effects of the mountain canyon bridge are improved.
Example 10:
The embodiment provides a mountain area canyon bridge long-term performance data acquisition system, as shown in fig. 3, including:
The data standardization module is used for carrying out long-term monitoring on the mountain canyon bridge by adopting different multi-source sensors based on bridge characteristics to obtain multi-source heterogeneous observation data of the mountain canyon bridge, and carrying out data standardization on the multi-source heterogeneous observation data;
The data supplementing module is used for accessing the multi-source heterogeneous observed data after data specification based on the dynamic data interface standard, carrying out data defect searching processing on the accessed multi-source heterogeneous observed data based on the timing time stamp, and receiving active supplementing data when missing data exists;
The data sharing module is used for carrying out key point butt joint on the multi-source heterogeneous observation data and the active supplementary data and the visualized elements of the mountain canyon bridge based on the receiving result, combining the butt joint result with the visualized three-dimensional scene, and sharing the combined visualized three-dimensional scene to be displayed at the management terminal.
The beneficial effects of the technical scheme are as follows: the method has the advantages that the corresponding multisource sensors are adopted according to bridge characteristics to monitor the mountain canyon bridge for a long time, the corresponding mountain canyon bridge is effectively monitored for a long time through the appropriate sensors, secondly, the multisource heterogeneous observation data monitored for a long time are accessed to the data analysis end after being subjected to data standardization, automatic acquisition and receiving of the long-term performance data of the mountain canyon bridge are achieved, the data defect processing is carried out on the accessed multisource heterogeneous observation data, and when missing data exist, active supplementary data are timely received, the comprehensiveness and reliability of the obtained long-term performance data are guaranteed, finally, the obtained multisource heterogeneous observation data and the active supplementary data are in key point butt joint with the visualized elements of the mountain canyon bridge and are combined with the visualized three-dimensional scene, the combined visualized three-dimensional scene to be displayed is shared to the management terminal, and accordingly, the real-time state of the mountain canyon bridge is accurately and effectively known by workers in time, and the maintenance and management effects of the mountain canyon bridge are guaranteed.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. The method for acquiring the long-term performance data of the mountain canyon bridge is characterized by comprising the following steps of:
Step 1: based on bridge characteristics, different multi-source sensors are adopted to monitor mountain canyon bridges for a long time, multi-source heterogeneous observation data of the mountain canyon bridges are obtained, and data specification is carried out on the multi-source heterogeneous observation data;
step 2: accessing the multi-source heterogeneous observed data after data specification based on a dynamic data interface standard, performing data missing processing on the accessed multi-source heterogeneous observed data based on a timing timestamp, and receiving active supplementary data when missing data exists;
Step 3: performing key point butt joint on the multi-source heterogeneous observation data and the active supplementary data and the visualized elements of the mountain canyon bridge based on the receiving result, combining the butt joint result with the visualized three-dimensional scene, and sharing the combined visualized three-dimensional scene to be displayed at the management terminal;
In step 3, the multi-source heterogeneous observation data and the active supplementary data are subjected to key point butt joint with the visualized elements of the mountain canyon bridge based on the receiving result, and the butt joint result is combined with the visualized three-dimensional scene, which comprises the following steps:
The method comprises the steps of obtaining multi-source heterogeneous observation data and active supplementary data, and supplementing the multi-source heterogeneous observation data based on the active supplementary data to obtain complete multi-source heterogeneous observation data;
Performing structure splitting on the virtual model of the mountain canyon bridge based on a computer to obtain a component structure set of the mountain canyon bridge, and determining the monitored attribute of each component structure based on the functional characteristics of each component structure in the component structure set;
screening the component structure based on the monitored attribute to determine mountain canyon bridge visualization elements;
Performing object dispersion on the complete multi-source heterogeneous observation data based on the monitored attribute to obtain multi-point observation data, and performing point location mapping association on the multi-point observation data and the visualized elements of the mountain area canyon bridge;
Combining the point location mapping association result under each acquisition time point with the visual three-dimensional scene, and performing order sorting on the combined visual three-dimensional scene to be displayed under each acquisition time point based on a time axis;
In step 2, data missing processing is performed on the accessed multi-source heterogeneous observed data based on the timing timestamp, and when missing data exists, active supplementary data is received, including:
Analyzing the data acquisition task, determining an aging representation value and service requirements of the long-term performance data of the mountain canyon bridge acquired each time, and determining a timing time stamp when the performance data of the mountain canyon bridge is acquired based on the aging representation value and the service requirements;
Generating a time sequence based on the timing time stamp, and aligning the same-class time sequence of the multi-source heterogeneous observation data of different frequencies of the same mountain area canyon bridge main body based on the time attribute of the multi-source heterogeneous observation data;
Determining discrete features of the heterogeneous observation data of the same class on the time sequence based on the time sequence alignment result, and determining missing acquisition points existing in the heterogeneous observation data of the same class based on the discrete features;
Determining a mountain area canyon bridge body to be supplemented based on the missing acquisition points, and locking a management terminal corresponding to the mountain area canyon bridge body to be supplemented based on the authority management library;
Synchronously transmitting the reference report template and the data reporting flow to the management terminal, and changing the data reporting authority state of the management terminal based on the transmitting result;
Real-time monitoring a data report reported by a management terminal based on a change result, and extracting supplementary data in the data report;
and carrying out defect position supplementation on the extracted supplementary data in a time sequence based on the defect acquisition point to finish the receiving and processing of the active supplementary data.
2. The method of claim 1, wherein in step 1, the mountain canyon bridge is monitored for a long period of time using different multi-source sensors based on bridge characteristics, comprising:
Acquiring a real image of a mountain canyon bridge, and extracting key points of the mountain canyon bridge based on the real image to obtain appearance characteristics of the mountain canyon bridge;
determining an identity index of the mountain canyon bridge based on the appearance characteristics, and calling a design manual of the mountain canyon bridge from a database based on the identity index;
determining structural design parameters of the mountain canyon bridge based on the design manual, and taking the structural design parameters as main characteristics;
meanwhile, determining the environmental condition of the position of the mountain canyon bridge based on the live-action image, and taking the environmental condition as a secondary characteristic;
And obtaining bridge characteristics of the mountain canyon bridge based on the main characteristics and the secondary characteristics.
3. The method for collecting long-term performance data of a mountain canyon bridge according to claim 1, wherein in step 1, the mountain canyon bridge is monitored for a long period by using different multi-source sensors based on bridge characteristics to obtain multi-source heterogeneous observation data of the mountain canyon bridge, comprising:
Acquiring bridge characteristics of the mountain canyon bridge, determining a monitoring dimension of the mountain canyon bridge based on the bridge characteristics, and determining a multi-source sensor combination based on the monitoring dimension;
Setting the data reporting time point of each sensor in the multi-source sensor combination based on the monitoring requirement, and performing low-code configuration on the service monitoring range of each sensor based on the setting result;
and controlling each sensor to monitor the mountain canyon bridge for a long time based on the configuration result, and reporting the acquired data in a time-sharing manner based on the data reporting time point to obtain multi-source heterogeneous observation data of the mountain canyon bridge under the same time-space characteristic.
4. The method for collecting long-term performance data of a mountain canyon bridge according to claim 1, wherein in step 1, data normalization is performed on multi-source heterogeneous observation data, comprising:
The method comprises the steps of obtaining multi-source heterogeneous observation data, and cleaning the multi-source heterogeneous observation data;
Carrying out structural analysis on the cleaned multi-source heterogeneous observation data, determining sensitive data in the multi-source heterogeneous data, and carrying out pseudo-random modification on the sensitive data to obtain multi-source heterogeneous desensitization data;
And extracting a main object corresponding to the multi-source heterogeneous desensitization data, and converging the multi-source heterogeneous desensitization data based on the main object.
5. The method for collecting long-term performance data of a mountain canyon bridge according to claim 1, wherein in step 2, the accessing of the multi-source heterogeneous observation data after the data specification based on the dynamic data interface standard comprises:
Analyzing the acquired service corresponding to the multi-source heterogeneous observation data, determining a data access protocol according to which each heterogeneous observation data is accessed, and analyzing the data access protocol to obtain the data access characteristic of each heterogeneous observation data;
Performing single data interface standard configuration on the data interface based on the data access characteristic, and generating a data interface configuration strategy library corresponding to each heterogeneous observation data based on the single data interface standard configuration result;
and calling a data interface configuration strategy from a data interface configuration strategy library based on the data characteristics of the heterogeneous observed data to be accessed for dynamic configuration, and accessing the heterogeneous observed data to be accessed based on a dynamic configuration result to finish the access operation of the multi-source heterogeneous observed data.
6. A mountain canyon bridge long-term performance data acquisition system, comprising:
The data standardization module is used for carrying out long-term monitoring on the mountain canyon bridge by adopting different multi-source sensors based on bridge characteristics to obtain multi-source heterogeneous observation data of the mountain canyon bridge, and carrying out data standardization on the multi-source heterogeneous observation data;
The data supplementing module is used for accessing the multi-source heterogeneous observed data after data specification based on the dynamic data interface standard, carrying out data defect searching processing on the accessed multi-source heterogeneous observed data based on the timing time stamp, and receiving active supplementing data when missing data exists;
the data sharing module is used for carrying out key point butt joint on the multi-source heterogeneous observation data and the active supplementary data and the visualized elements of the mountain canyon bridge based on the receiving result, combining the butt joint result with the visualized three-dimensional scene, and sharing the combined visualized three-dimensional scene to be displayed in the management terminal;
wherein, data sharing module includes:
The method comprises the steps of obtaining multi-source heterogeneous observation data and active supplementary data, and supplementing the multi-source heterogeneous observation data based on the active supplementary data to obtain complete multi-source heterogeneous observation data;
Performing structure splitting on the virtual model of the mountain canyon bridge based on a computer to obtain a component structure set of the mountain canyon bridge, and determining the monitored attribute of each component structure based on the functional characteristics of each component structure in the component structure set;
screening the component structure based on the monitored attribute to determine mountain canyon bridge visualization elements;
Performing object dispersion on the complete multi-source heterogeneous observation data based on the monitored attribute to obtain multi-point observation data, and performing point location mapping association on the multi-point observation data and the visualized elements of the mountain area canyon bridge;
Combining the point location mapping association result under each acquisition time point with the visual three-dimensional scene, and performing order sorting on the combined visual three-dimensional scene to be displayed under each acquisition time point based on a time axis;
Wherein, data supplement module includes:
Analyzing the data acquisition task, determining an aging representation value and service requirements of the long-term performance data of the mountain canyon bridge acquired each time, and determining a timing time stamp when the performance data of the mountain canyon bridge is acquired based on the aging representation value and the service requirements;
Generating a time sequence based on the timing time stamp, and aligning the same-class time sequence of the multi-source heterogeneous observation data of different frequencies of the same mountain area canyon bridge main body based on the time attribute of the multi-source heterogeneous observation data;
Determining discrete features of the heterogeneous observation data of the same class on the time sequence based on the time sequence alignment result, and determining missing acquisition points existing in the heterogeneous observation data of the same class based on the discrete features;
Determining a mountain area canyon bridge body to be supplemented based on the missing acquisition points, and locking a management terminal corresponding to the mountain area canyon bridge body to be supplemented based on the authority management library;
Synchronously transmitting the reference report template and the data reporting flow to the management terminal, and changing the data reporting authority state of the management terminal based on the transmitting result;
Real-time monitoring a data report reported by a management terminal based on a change result, and extracting supplementary data in the data report;
and carrying out defect position supplementation on the extracted supplementary data in a time sequence based on the defect acquisition point to finish the receiving and processing of the active supplementary data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410244480.XA CN117852774B (en) | 2024-03-05 | 2024-03-05 | Mountain area canyon bridge long-term performance data acquisition method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410244480.XA CN117852774B (en) | 2024-03-05 | 2024-03-05 | Mountain area canyon bridge long-term performance data acquisition method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117852774A CN117852774A (en) | 2024-04-09 |
| CN117852774B true CN117852774B (en) | 2024-05-14 |
Family
ID=90546827
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410244480.XA Active CN117852774B (en) | 2024-03-05 | 2024-03-05 | Mountain area canyon bridge long-term performance data acquisition method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117852774B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2011265563A1 (en) * | 2010-12-24 | 2012-07-12 | Commonwealth Scientific And Industrial Research Organisation | System and method for detecting and/or diagnosing faults in multi-variable systems |
| CN109756860A (en) * | 2018-12-20 | 2019-05-14 | 深圳高速工程顾问有限公司 | Bridge structure collecting method, device, computer equipment and storage medium |
| CN113255811A (en) * | 2021-06-06 | 2021-08-13 | 山西省交通科技研发有限公司 | Beam bridge multi-source heterogeneous data fusion decision-making system based on BIM |
| DE202022103462U1 (en) * | 2022-06-22 | 2022-06-30 | Ruby Dinakar | A system for streaming and storing heterogeneous sensor data streams using a microservices architecture model |
| CN114894411A (en) * | 2022-05-24 | 2022-08-12 | 东营固泰尔建筑科技有限责任公司 | Bridge health monitoring method and system based on wireless sensor network |
| CN115687983A (en) * | 2022-12-30 | 2023-02-03 | 中裕铁信交通科技股份有限公司 | Bridge health state monitoring method and system and electronic equipment |
| WO2023060672A1 (en) * | 2021-10-15 | 2023-04-20 | 东南大学 | Bridge scouring power identification method based on health monitoring data |
| CN116719805A (en) * | 2023-06-20 | 2023-09-08 | 常州大学 | Arch dam temperature field monitoring data deficiency interpolation method based on causal and proximity effects |
| CN116738143A (en) * | 2023-05-05 | 2023-09-12 | 北京云星宇交通科技股份有限公司 | Intelligent monitoring acquisition station for bridge health monitoring system |
| CN116796657A (en) * | 2023-06-12 | 2023-09-22 | 中铁大桥局集团有限公司 | Wind speed early warning method, device and storage medium for deep canyon bridge construction |
| CN116798142A (en) * | 2023-06-25 | 2023-09-22 | 中路高科交通检测检验认证有限公司 | Visual inspection method, system, equipment and storage medium for long bridge |
| CN117195451A (en) * | 2023-09-11 | 2023-12-08 | 招商局重庆公路工程检测中心有限公司 | Bridge monitoring data restoration method based on graph theory |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7822697B2 (en) * | 2006-09-29 | 2010-10-26 | Globvision Inc. | Method and apparatus for infrastructure health monitoring and analysis wherein anomalies are detected by comparing measured outputs to estimated/modeled outputs by using a delay |
| US8618934B2 (en) * | 2009-04-27 | 2013-12-31 | Kolos International LLC | Autonomous sensing module, a system and a method of long-term condition monitoring of structures |
-
2024
- 2024-03-05 CN CN202410244480.XA patent/CN117852774B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2011265563A1 (en) * | 2010-12-24 | 2012-07-12 | Commonwealth Scientific And Industrial Research Organisation | System and method for detecting and/or diagnosing faults in multi-variable systems |
| CN109756860A (en) * | 2018-12-20 | 2019-05-14 | 深圳高速工程顾问有限公司 | Bridge structure collecting method, device, computer equipment and storage medium |
| CN113255811A (en) * | 2021-06-06 | 2021-08-13 | 山西省交通科技研发有限公司 | Beam bridge multi-source heterogeneous data fusion decision-making system based on BIM |
| WO2023060672A1 (en) * | 2021-10-15 | 2023-04-20 | 东南大学 | Bridge scouring power identification method based on health monitoring data |
| CN114894411A (en) * | 2022-05-24 | 2022-08-12 | 东营固泰尔建筑科技有限责任公司 | Bridge health monitoring method and system based on wireless sensor network |
| DE202022103462U1 (en) * | 2022-06-22 | 2022-06-30 | Ruby Dinakar | A system for streaming and storing heterogeneous sensor data streams using a microservices architecture model |
| CN115687983A (en) * | 2022-12-30 | 2023-02-03 | 中裕铁信交通科技股份有限公司 | Bridge health state monitoring method and system and electronic equipment |
| CN116738143A (en) * | 2023-05-05 | 2023-09-12 | 北京云星宇交通科技股份有限公司 | Intelligent monitoring acquisition station for bridge health monitoring system |
| CN116796657A (en) * | 2023-06-12 | 2023-09-22 | 中铁大桥局集团有限公司 | Wind speed early warning method, device and storage medium for deep canyon bridge construction |
| CN116719805A (en) * | 2023-06-20 | 2023-09-08 | 常州大学 | Arch dam temperature field monitoring data deficiency interpolation method based on causal and proximity effects |
| CN116798142A (en) * | 2023-06-25 | 2023-09-22 | 中路高科交通检测检验认证有限公司 | Visual inspection method, system, equipment and storage medium for long bridge |
| CN117195451A (en) * | 2023-09-11 | 2023-12-08 | 招商局重庆公路工程检测中心有限公司 | Bridge monitoring data restoration method based on graph theory |
Non-Patent Citations (4)
| Title |
|---|
| Real-Time Data Processing, Analysis and Visualization for Structural Monitoring of the Confederation Bridge;S. L. Desjardins;Advances in Structural Engineering;20061231;第9卷(第1期);第141-157页 * |
| 刘文生,等.基于Power BI桥梁监测数据可视化研究.价值工程.2020,第235-237页. * |
| 南京长江大桥运营监测数据可视化方法及建筑信息模型插件开发;茅建校，等;哈尔滨工程大学学报;20230630;第44卷(第6期);第910-916页 * |
| 基于微簇的桥梁监测数据流异常识别研究;吴运宏;舒昕;王戒躁;闫光辉;;计算机应用与软件;20160915(09);第46-50, 96页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117852774A (en) | 2024-04-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106952033B (en) | Multi-data-source-based stirring equipment production quality monitoring system and method | |
| EP3115858A1 (en) | Centralized monitoring system and monitoring method for unmanned aerial vehicle to patrol power transmission line | |
| CN116880412B (en) | Visual production management platform based on cloud | |
| CN105657413A (en) | Intelligent video quality monitoring platform | |
| CN110163988A (en) | A kind of intelligent patrol detection management system | |
| CN109886431B (en) | Automatic inspection system for airport navigation display terminal | |
| CN104917803A (en) | Autonomous inspection system based on user behavior control | |
| CN112186901B (en) | Panoramic sensing monitoring method and system for transformer substation | |
| CN111083230A (en) | Computer network operation management system | |
| CN111627199A (en) | Hydropower station dam safety monitoring system and monitoring method | |
| CN111061796A (en) | Multisource data quality management and control system for power distribution network | |
| CN117852774B (en) | Mountain area canyon bridge long-term performance data acquisition method and system | |
| CN114495312A (en) | Online inspection method, device, system and storage medium | |
| CN114025148A (en) | Monitoring method and monitoring system | |
| CN111882911B (en) | Electronic card port fault detection and identification method | |
| CN117517877A (en) | Distributed traveling wave online measurement fault positioning system | |
| CN117455318A (en) | Monitoring method and device for automobile part detection process and electronic equipment | |
| CN112348306A (en) | TitanOS artificial intelligence development method and device for power distribution operation inspection | |
| CN111667391A (en) | Environment-friendly big data monitoring system | |
| CN108228878B (en) | Data management method and module of distributed measurement system | |
| CN116151557A (en) | Visual management method and device for inspection equipment and data cockpit system | |
| CN115562227A (en) | Transformer substation inspection robot monitoring method and device and computer equipment | |
| CN115938009A (en) | Intelligent electronic patrol positioning method and system | |
| CN114896096A (en) | Data center equipment fault prediction system and method based on image recognition algorithm | |
| CN114760332A (en) | Efficient equipment monitoring and analyzing method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |