CN114812528A - Automatic monitoring system applied to expressway disease side slope - Google Patents
Automatic monitoring system applied to expressway disease side slope Download PDFInfo
- Publication number
- CN114812528A CN114812528A CN202210725025.2A CN202210725025A CN114812528A CN 114812528 A CN114812528 A CN 114812528A CN 202210725025 A CN202210725025 A CN 202210725025A CN 114812528 A CN114812528 A CN 114812528A
- Authority
- CN
- China
- Prior art keywords
- slope
- data
- point cloud
- monitoring
- disease
- 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.)
- Granted
Links
- 201000010099 disease Diseases 0.000 title claims abstract description 91
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 91
- 238000012544 monitoring process Methods 0.000 title claims abstract description 90
- 238000004458 analytical method Methods 0.000 claims abstract description 29
- 238000012545 processing Methods 0.000 claims abstract description 29
- 238000010276 construction Methods 0.000 claims abstract description 11
- 238000006073 displacement reaction Methods 0.000 claims description 32
- 230000008859 change Effects 0.000 claims description 29
- 238000000034 method Methods 0.000 claims description 16
- 230000015556 catabolic process Effects 0.000 claims description 9
- 238000006731 degradation reaction Methods 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 230000008030 elimination Effects 0.000 claims description 5
- 238000003379 elimination reaction Methods 0.000 claims description 5
- 150000001875 compounds Chemical class 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 abstract description 9
- 230000006378 damage Effects 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 abstract description 4
- 208000027418 Wounds and injury Diseases 0.000 abstract description 3
- 208000014674 injury Diseases 0.000 abstract description 3
- 238000002310 reflectometry Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 9
- 238000004590 computer program Methods 0.000 description 8
- 230000008569 process Effects 0.000 description 6
- 238000000691 measurement method Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000246 remedial effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C15/00—Surveying instruments or accessories not provided for in groups G01C1/00 - G01C13/00
- G01C15/002—Active optical surveying means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/002—Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C5/00—Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N21/4738—Diffuse reflection, e.g. also for testing fluids, fibrous materials
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- General Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Bioethics (AREA)
- Pathology (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- Immunology (AREA)
- General Engineering & Computer Science (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The invention provides an automatic monitoring system applied to a highway disease side slope, which comprises: a data acquisition module: the system comprises a three-dimensional laser scanner, a data acquisition module and a data processing module, wherein the three-dimensional laser scanner is used for scanning a highway slope to obtain scanning point cloud data; a model construction module: constructing a slope monitoring model according to the scanning point cloud data, and analyzing the state of the slope disease according to the slope monitoring model to obtain an analysis result; the early warning processing module: the invention can rapidly, accurately and comprehensively record the three-dimensional space position information, the reflectivity information, the color texture information and the like of the target object with high precision through the point cloud data acquired by the three-dimensional laser scanning technology, thereby not only improving the measurement efficiency, but also monitoring the condition of the side slope diseases by constructing a model according to the point cloud data and early warning the condition of the occurred diseases in time, thereby avoiding the loss of resources and the injury of personnel.
Description
Technical Field
The invention belongs to the field of automatic monitoring, and particularly relates to an automatic monitoring system applied to a highway disease side slope.
Background
The technical means of highway slope monitoring are various, the methods mainly adopted at present comprise conventional measurement, GPS measurement, sensor measurement and the like, monitoring points are required to be arranged on a deformation body for deformation monitoring by using a conventional measurement mode, the highway slope disease condition is monitored by the method, and the monitoring points are required to be arranged on the deformation body.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an automatic monitoring system applied to a highway disease side slope, which comprises:
a data acquisition module: the system comprises a three-dimensional laser scanner, a data acquisition module and a data processing module, wherein the three-dimensional laser scanner is used for scanning a highway slope to obtain scanning point cloud data;
a model construction module: constructing a slope monitoring model according to the scanning point cloud data, and analyzing the state of the slope disease according to the slope monitoring model to obtain an analysis result;
the early warning processing module: and carrying out early warning treatment when the analysis result shows that the disease is a side slope disease.
Preferably, the data acquisition module is specifically configured to:
arranging preset monitoring control points, and performing three-dimensional laser scanning on the highway slope through a three-dimensional laser scanner to obtain scanning point cloud data;
wherein the scanning point cloud data comprises: slope displacement data, slope settlement data, deformation data, slope reflection data and slope texture information.
Preferably, the model building module includes:
a coordinate system determination unit: the system is used for determining a three-dimensional laser scanning target, fitting a three-dimensional coordinate of a target center, measuring the coordinate of the target center through a total station instrument without a prism and determining a coordinate proportion;
constructing a slope point cloud data three-dimensional coordinate system based on the target center three-dimensional coordinate and the coordinate proportion;
a three-dimensional coordinate projection unit: the system comprises a data acquisition module, a side slope integral point cloud data conversion module, a side slope point cloud data storage module and a side slope integral point cloud data conversion module, wherein the data acquisition module is used for acquiring scanning point cloud data;
a noise eliminating unit: carrying out data coordinate validity check based on the slope integral point cloud data coordinates, and deleting the slope integral point cloud invalid data when the check result shows that the data are invalid;
when the inspection result shows that the data are effective, the effective data of the whole point cloud of the side slope are encrypted and stored in a database, and the stored effective data of the whole point cloud of the side slope are subjected to noise elimination processing to obtain the effective data of the whole point cloud of the noise-free side slope;
a model construction unit: the slope monitoring model is constructed according to the noise-free slope integral point cloud effective data;
slope disease analysis unit: and the slope disease state analysis module is used for analyzing the state of the slope disease according to the slope monitoring model and acquiring an analysis result.
Preferably, the specific steps of encrypting and storing the slope whole point cloud effective data in the database are as follows:
step S1: grouping the whole slope point cloud effective data according to preset character positions to obtain grouped data;
step S3: replacing the grouped data, determining replaced data, and performing iterative processing on the replaced data through a round function;
step S4: when the iteration times of the replacement data are equal to the preset iteration times, ending the iteration, obtaining the iterated slope integral point cloud effective data, and performing data exchange processing on the iterated slope integral point cloud effective data to obtain exchange data;
step S5: and performing inverse replacement on the exchanged data to generate encrypted effective data of the whole point cloud of the slope, and storing the encrypted effective data of the whole point cloud of the slope in a database.
Preferably, the round function expression is:
wherein F is a round function; m is slope integral point cloud effective data;
and
is an encryption key.
Preferably, the slope disease analysis unit includes:
curve predictor unit: the system comprises a slope monitoring model, a historical effective point cloud data and a slope displacement change curve, wherein the slope monitoring model is used for monitoring slope surface degradation of a slope, and the slope surface degradation change curve is generated by using the historical effective point cloud data as a model input value and inputting the model input value into the slope monitoring model for point cloud data curve prediction;
disease analysis subunit: when the side slope displacement change curve is consistent with a preset displacement change curve, judging the safety of the highway side slope, otherwise, judging that the highway side slope has landslide;
when the slope settlement change curve is consistent with a preset settlement change curve, judging the safety of the expressway slope, otherwise, judging that the expressway slope has settlement collapse diseases;
and when the slope surface degradation change curve is consistent with a preset surface degradation change curve, judging the safety of the expressway slope, otherwise, judging that the expressway slope has collapse diseases.
Preferably, the generation process of the slope displacement variation curve is as follows:
according to the method, historical effective point cloud data is used as a model input value, the model input value is input into a slope monitoring model, and coordinate data of monitoring points are screened out;
taking historical data scanned for the first time as an initial value, and taking historical coordinate data of monitoring points scanned in a fixed time period as variable values;
and calculating a horizontal displacement accumulated value and a displacement change rate based on the coordinate data of the monitoring points, and generating a slope displacement change curve according to the horizontal displacement accumulated value and the displacement change rate.
Preferably, the horizontal displacement integrated value calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is a horizontal displacement accumulated value;
the horizontal coordinate value of the monitoring point is;
the abscissa value of the monitoring point is.
Preferably, the calculation of the rate of change of displacement is as follows:
in the formula (I), the compound is shown in the specification,
is the rate of change of displacement;
is a horizontal displacement accumulated value; t is the scan interval period.
Preferably, the early warning processing module includes: the sound and light early warning unit and the short message early warning unit;
the acousto-optic early warning subunit: the system comprises a disease early warning subunit, a sound-light alarm and an automatic monitoring system, wherein the disease early warning subunit is used for connecting the sound-light alarm and the automatic monitoring system through a wireless network, and when receiving analysis results of landslide diseases, settlement and collapse diseases, the sound-light alarm prompts corresponding disease danger sound-light alarms;
the audible and visual alarm is arranged in a monitoring area of the expressway;
a short message early warning subunit: and the mobile phone is used for sending landslide disease, settlement and collapse disease information to the personnel in the monitoring area through a wireless network to carry out short message early warning.
Compared with the closest prior art, the invention has the following beneficial effects:
1. the invention provides an automatic monitoring system applied to a highway disease side slope, which comprises: a data acquisition module: the system comprises a three-dimensional laser scanner, a data acquisition module and a data processing module, wherein the three-dimensional laser scanner is used for scanning a highway slope to obtain scanning point cloud data; a model construction module: constructing a slope monitoring model according to the scanning point cloud data, and analyzing the state of the slope disease according to the slope monitoring model to obtain an analysis result; the early warning processing module: the invention can rapidly, accurately and comprehensively record the three-dimensional space position information, reflectivity information, color texture information and the like of the target object with high precision by acquiring a large amount of dense scattered point data containing various information through a three-dimensional laser scanning technology and point cloud data acquired through the three-dimensional laser scanning technology, thereby not only improving the measurement efficiency, but also monitoring the slope disease condition by constructing a model according to the acquired point cloud data, and timely early warning the occurred disease condition so as to avoid the loss of resources and the injury of personnel.
2. In the model construction module, the acquired point cloud data is subjected to data splicing, encryption, noise reduction and other processing through the noise elimination unit, so that the integrity, safety and accuracy of the data can be ensured, and the efficiency and accuracy of the slope disease analysis of the slope monitoring model can be improved.
Drawings
FIG. 1 is a schematic structural connection diagram of an automatic monitoring system applied to a damaged side slope of a highway according to the present invention;
FIG. 2 is a schematic structural connection diagram of a model construction module of an automatic monitoring system applied to a diseased slope of a highway, provided by the invention;
fig. 3 is a schematic connection diagram of the early warning processing module structure of the automatic monitoring system applied to the highway disease slope provided by the invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
Example 1:
the invention provides an automatic monitoring system applied to a highway disease slope, which is shown in figure 1 and comprises:
a data acquisition module: the system comprises a three-dimensional laser scanner, a data acquisition module and a data processing module, wherein the three-dimensional laser scanner is used for scanning a highway slope to obtain scanning point cloud data;
a model construction module: constructing a slope monitoring model according to the scanning point cloud data, and analyzing the state of the slope disease according to the slope monitoring model to obtain an analysis result;
the early warning processing module: and carrying out early warning treatment when the analysis result shows that the disease is a side slope disease.
The invention obtains the side slope displacement data, the side slope settlement data, the deformation data, the side slope reflection data and the side slope texture information through the three-dimensional laser scanning in the data acquisition module, not only can observe the monitoring points of the highway side slope through the preset time period through the data to obtain the side slope displacement change data and the side slope settlement data, but also can accurately know the surface degradation condition of the side slope through the side slope reflection data and the side slope texture data information, in the model construction module, a side slope monitoring model is constructed through the obtained scanning point cloud data, and the constructed side slope monitoring model can analyze the side slope disease condition to know the possible diseases of the side slope, so that the early warning and the processing can be timely carried out on the disease condition of the monitored road, thereby avoiding causing larger economic loss and harm to the personal safety of personnel, in the early warning processing module, the disease condition which possibly occurs is early warning processed through monitoring and analyzing the highway side slope disease in the model building module, so that people around the disease side slope can be timely notified to evacuate, and the people are prevented from being injured.
Example 2: the model building module applied to the automatic monitoring system on the highway disease side slope is shown in fig. 2 and comprises the following components:
a coordinate system determination unit: the system is used for determining a three-dimensional laser scanning target, fitting a three-dimensional coordinate of a target center, measuring the coordinate of the target center through a total station instrument without a prism and determining a coordinate proportion;
constructing a slope point cloud data three-dimensional coordinate system based on the target center three-dimensional coordinate and the coordinate proportion;
a three-dimensional coordinate projection unit: the system comprises a data acquisition module, a side slope integral point cloud data conversion module, a side slope point cloud data storage module and a side slope integral point cloud data conversion module, wherein the data acquisition module is used for acquiring scanning point cloud data;
a noise eliminating unit: carrying out data coordinate validity check based on the slope integral point cloud data coordinates, and deleting the slope integral point cloud invalid data when the check result shows that the data are invalid;
when the inspection result shows that the data are effective, encrypting and storing the effective data of the whole point cloud of the side slope in a database, and carrying out noise elimination processing on the stored effective data of the whole point cloud of the side slope to obtain the effective data of the whole point cloud of the noise-free side slope;
a model construction unit: the slope monitoring model is constructed according to the noise-free slope integral point cloud effective data;
slope disease analysis unit: and the slope disease state analysis module is used for analyzing the state of the slope disease according to the slope monitoring model and acquiring an analysis result.
In one implementation scenario: the method for monitoring the highway slope diseases by using the conventional measurement method, the GPS measurement method, the sensor measurement method and the like is usually adopted to monitor the highway slope diseases, monitoring points are required to be arranged on a deformation body and arranged on the deformation body when the deformation monitoring is carried out by using the conventional measurement method, and then the method for monitoring through the change of the monitoring points has obvious defects, for example, the number of the monitoring points is limited, the measurement efficiency is low, the measurement is influenced by factors such as weather and the like, the monitored data is inaccurate, and the monitored data is not encrypted and stored in the prior art, so that the data leakage is possibly caused;
when the invention is implemented: the disease condition of the highway side slope is monitored and analyzed through the combined action of the coordinate system determining unit, the three-dimensional coordinate projection unit, the noise eliminating unit, the model constructing unit and the side slope disease analyzing unit, so that the disease condition of the side slope can be effectively known, and firstly, the disease condition of the side slope is determinedIn the coordinate system determination unit, the slope is scanned by the three-dimensional laser scanner, then the three-dimensional laser scanning target is determined, the three-dimensional coordinate of the center of the target is fitted, the coordinate measurement is carried out on the center of the target by the total station without a prism, the coordinate proportion is determined, thus the three-dimensional coordinate system can be constructed, the obtained data is subjected to data splicing in the three-dimensional coordinate projection unit, then the spliced complete data is converted into the constructed three-dimensional coordinate system, the integral point cloud data coordinate of the slope can be obtained, the integral data of the slope can be mastered by the data splicing, so that the integral judgment on the conditions of the slope such as deformation and the like is realized, the integral point cloud data coordinate of the slope is obtained, the change of the slope can be clearly monitored and mastered, the early remedial treatment on the disease condition is facilitated, and the larger economic loss is avoided, then, in a noise elimination unit, invalid data and data with noise interference can be eliminated, so that the accuracy of the data can be ensured, the finally obtained effective data of the whole slope point cloud is encrypted and stored in a database, triple DES technology is adopted for data encryption when the data encryption is carried out, the process of data encryption is firstly that the effective data of the whole slope point cloud are grouped, encryption keys K1 and K2 are determined through a triple DES algorithm, and according to the encryption keys K1 and K2, a triple DES round function is determined as follows:
and encrypting the slope integral point cloud effective data stored in the database through the triple DES encryption function to obtain an encrypted ciphertext, wherein the encrypted ciphertext is as follows:
and C is the encrypted effective point cloud data of the whole slope, the encrypted effective point cloud data of the whole slope are stored in a database, the safety of the data can be fully ensured, finally, a slope monitoring model is constructed according to the effective point cloud data of the whole noise-free slope, and the highway damage condition is monitored through the constructed slope monitoring modelPerforming analysis to obtain an analysis result;
the beneficial effects of the above technical scheme are: the slope disease monitoring model is constructed by constructing a three-dimensional coordinate system and determining coordinate point information of point cloud data, the condition of the slope disease can be accurately monitored and analyzed, so that risk avoidance can be effectively carried out, data splicing, encryption, noise reduction and other processing are carried out on the acquired point cloud data in the process of constructing the slope monitoring model, the integrity, safety and accuracy of the data can be guaranteed, and the efficiency and accuracy of the slope disease analysis of the slope monitoring model can be improved.
Example 3:
the early warning processing module applied to the automatic monitoring system on the highway disease side slope is shown in figure 3 and comprises the following components: the sound and light early warning unit and the short message early warning unit;
the acousto-optic early warning subunit: the system comprises a disease early warning subunit, a sound-light alarm and an automatic monitoring system, wherein the disease early warning subunit is used for connecting the sound-light alarm and the automatic monitoring system through a wireless network, and when receiving analysis results of landslide diseases, settlement and collapse diseases, the sound-light alarm prompts corresponding disease danger sound-light alarms;
the audible and visual alarm is arranged in a monitoring area of the expressway;
a short message early warning subunit: and the mobile phone is used for sending landslide disease, settlement and collapse disease information to the personnel in the monitoring area through a wireless network to carry out short message early warning.
When the invention is implemented: monitoring and analyzing the disease condition of the expressway side slope according to the model building module, and performing corresponding disease early warning prompt according to the obtained disease information, wherein firstly, when the acousto-optic early warning unit is used, the acousto-optic alarm is connected with the automatic monitoring system through a wireless network, when the disease early warning subunit receives analysis results of landslide disease, settlement and collapse disease, the acousto-optic alarm is used for performing acousto-optic alarm prompt of corresponding disease danger, and meanwhile, the disease information is synchronized to a mobile phone of a person in a monitoring area through the wireless network for performing short message early warning prompt;
the beneficial effects of the above technical scheme are: through acousto-optic early warning, personnel in the monitoring area can clearly hear and see the early warning of the side slope diseases, so that the personnel can be evacuated from the corresponding area in time, the personnel injury is avoided, and meanwhile, the condition that the personnel do not see or hear the alarm when acousto-optic alarm is carried out can be compensated through short message early warning.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting the protection scope thereof, and although the present invention is described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that after reading the present invention, they can make various changes, modifications or equivalents to the specific embodiments of the application, but these changes, modifications or equivalents are all within the protection scope of the claims of the application.
Claims (10)
1. The utility model provides an application is in automatic monitoring system on highway disease slope which characterized in that includes:
a data acquisition module: the system comprises a three-dimensional laser scanner, a data acquisition module and a data processing module, wherein the three-dimensional laser scanner is used for scanning a highway slope to obtain scanning point cloud data;
a model construction module: constructing a slope monitoring model according to the scanning point cloud data, and analyzing the state of the slope disease according to the slope monitoring model to obtain an analysis result;
the early warning processing module: and carrying out early warning treatment when the analysis result shows that the disease is a side slope disease.
2. The system of claim 1, wherein the data acquisition module is specifically configured to:
arranging preset monitoring control points, and performing three-dimensional laser scanning on the highway slope through a three-dimensional laser scanner to obtain scanning point cloud data;
wherein the scanning point cloud data comprises: slope displacement data, slope settlement data, deformation data, slope reflection data and slope texture information.
3. The system of claim 1, wherein the model building module comprises:
a coordinate system determination unit: the system is used for determining a three-dimensional laser scanning target, fitting a three-dimensional coordinate of a target center, measuring the coordinate of the target center through a total station instrument without a prism and determining a coordinate proportion;
constructing a slope point cloud data three-dimensional coordinate system based on the target center three-dimensional coordinate and the coordinate proportion;
a three-dimensional coordinate projection unit: the system comprises a data acquisition module, a side slope integral point cloud data conversion module, a side slope point cloud data storage module and a side slope integral point cloud data conversion module, wherein the data acquisition module is used for acquiring scanning point cloud data;
a noise eliminating unit: carrying out data coordinate validity check based on the slope integral point cloud data coordinates, and deleting the slope integral point cloud invalid data when the check result shows that the data are invalid;
when the inspection result shows that the data are effective, the effective data of the whole point cloud of the side slope are encrypted and stored in a database, and the stored effective data of the whole point cloud of the side slope are subjected to noise elimination processing to obtain the effective data of the whole point cloud of the noise-free side slope;
a model construction unit: the slope monitoring model is constructed according to the noise-free slope integral point cloud effective data;
slope disease analysis unit: and the slope disease state analysis module is used for analyzing the state of the slope disease according to the slope monitoring model and acquiring an analysis result.
4. The system of claim 3, wherein the step of encrypting and storing the slope whole point cloud valid data in the database comprises the following steps:
step S1: grouping the whole slope point cloud effective data according to preset character positions to obtain grouped data;
step S3: replacing the grouped data, determining replaced data, and performing iterative processing on the replaced data through a round function;
step S4: when the iteration times of the replacement data are equal to the preset iteration times, ending the iteration, obtaining the iterated slope integral point cloud effective data, and performing data exchange processing on the iterated slope integral point cloud effective data to obtain exchange data;
step S5: and performing inverse replacement on the exchanged data to generate encrypted effective data of the whole point cloud of the slope, and storing the encrypted effective data of the whole point cloud of the slope in a database.
5. The system of claim 4, wherein the round function expression is:
wherein F is a round function; m is slope integral point cloud effective data;
and
is an encryption key.
6. The system of claim 3, wherein the slope disease analysis unit comprises:
curve predictor unit: the system comprises a slope monitoring model, a historical effective point cloud data and a slope displacement change curve, wherein the slope monitoring model is used for monitoring slope surface degradation of a slope, and the slope surface degradation change curve is generated by using the historical effective point cloud data as a model input value and inputting the model input value into the slope monitoring model for point cloud data curve prediction;
disease analysis subunit: when the side slope displacement change curve is consistent with a preset displacement change curve, judging the safety of the highway side slope, otherwise, judging that the highway side slope has landslide;
when the slope settlement change curve is consistent with a preset settlement change curve, judging the safety of the expressway slope, otherwise, judging that the expressway slope has settlement collapse diseases;
and when the slope surface degradation change curve is consistent with a preset surface degradation change curve, judging the safety of the expressway slope, otherwise, judging that the expressway slope has collapse diseases.
7. The system of claim 6, wherein the slope displacement curve is generated as follows:
according to the method, historical effective point cloud data are used as model input values, the model input values are input into a slope monitoring model, and coordinate data of monitoring points are screened out;
taking historical data scanned for the first time as an initial value, and taking historical coordinate data of monitoring points scanned in a fixed time period as variable values;
and calculating a horizontal displacement accumulated value and a displacement change rate based on the coordinate data of the monitoring points, and generating a slope displacement change curve according to the horizontal displacement accumulated value and the displacement change rate.
8. The system of claim 7, wherein the horizontal displacement integrated value is calculated as follows:
in the formula (I), the compound is shown in the specification,
is a horizontal displacement accumulated value;
the horizontal coordinate value of the monitoring point is;
the abscissa value of the monitoring point is.
9. The system of claim 7, wherein the rate of change of displacement is calculated as follows:
in the formula (I), the compound is shown in the specification,
is the rate of change of displacement;
is a horizontal displacement accumulated value; t is the scan interval period.
10. The system of claim 1, wherein the early warning processing module comprises: the sound and light early warning unit and the short message early warning unit;
the acousto-optic early warning subunit: the system comprises a disease early warning subunit, a sound-light alarm and an automatic monitoring system, wherein the disease early warning subunit is used for connecting the sound-light alarm and the automatic monitoring system through a wireless network, and when receiving analysis results of landslide diseases, settlement and collapse diseases, the sound-light alarm prompts corresponding disease danger sound-light alarms;
the audible and visual alarm is arranged in a highway monitoring area;
a short message early warning subunit: and the mobile phone is used for sending landslide disease, settlement and collapse disease information to the personnel in the monitoring area through a wireless network to carry out short message early warning.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210725025.2A CN114812528B (en) | 2022-06-24 | 2022-06-24 | Automatic monitoring system applied to expressway disease side slope |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210725025.2A CN114812528B (en) | 2022-06-24 | 2022-06-24 | Automatic monitoring system applied to expressway disease side slope |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114812528A true CN114812528A (en) | 2022-07-29 |
| CN114812528B CN114812528B (en) | 2022-10-14 |
Family
ID=82522069
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210725025.2A Active CN114812528B (en) | 2022-06-24 | 2022-06-24 | Automatic monitoring system applied to expressway disease side slope |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114812528B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116630899A (en) * | 2023-07-21 | 2023-08-22 | 四川公路工程咨询监理有限公司 | Highway side slope disease monitoring and early warning system |
| CN118310435A (en) * | 2024-06-07 | 2024-07-09 | 四川公路工程咨询监理有限公司 | Slope support deformation monitoring system and method |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004045135A1 (en) * | 2002-11-06 | 2004-05-27 | Sun Microsystems, Inc. | System and method for implementing des encryption |
| JP5915916B1 (en) * | 2015-02-20 | 2016-05-11 | 国際航業株式会社 | Observation system |
| CN106123845A (en) * | 2015-05-07 | 2016-11-16 | 国家测绘地理信息局第六地形测量队 | Slope displacement monitoring method based on three-dimensional laser scanning technique |
| CN108429613A (en) * | 2018-03-09 | 2018-08-21 | 国网陕西省电力公司电力科学研究院 | A kind of electric network information encryption method based on EN-PRESENT algorithms |
| CN108667599A (en) * | 2018-05-21 | 2018-10-16 | 平安科技（深圳）有限公司 | Encryption method, device, computer equipment and storage medium |
| CN111147230A (en) * | 2019-12-31 | 2020-05-12 | 东方红卫星移动通信有限公司 | Information encryption transmission method between light-weight satellites based on low-earth orbit satellite Internet of things |
| US20210048294A1 (en) * | 2019-08-15 | 2021-02-18 | China Institute Of Water Resources And Hydropower Research | System and method for monitoring deformation of dam slope |
| CN113611082A (en) * | 2021-07-12 | 2021-11-05 | 北京铁科特种工程技术有限公司 | Unmanned aerial vehicle railway slope monitoring and early warning system and method |
| CN114353876A (en) * | 2022-01-07 | 2022-04-15 | 兰州大学 | Loess highway slope health monitoring method |
-
2022
- 2022-06-24 CN CN202210725025.2A patent/CN114812528B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004045135A1 (en) * | 2002-11-06 | 2004-05-27 | Sun Microsystems, Inc. | System and method for implementing des encryption |
| JP5915916B1 (en) * | 2015-02-20 | 2016-05-11 | 国際航業株式会社 | Observation system |
| CN106123845A (en) * | 2015-05-07 | 2016-11-16 | 国家测绘地理信息局第六地形测量队 | Slope displacement monitoring method based on three-dimensional laser scanning technique |
| CN108429613A (en) * | 2018-03-09 | 2018-08-21 | 国网陕西省电力公司电力科学研究院 | A kind of electric network information encryption method based on EN-PRESENT algorithms |
| CN108667599A (en) * | 2018-05-21 | 2018-10-16 | 平安科技（深圳）有限公司 | Encryption method, device, computer equipment and storage medium |
| US20210048294A1 (en) * | 2019-08-15 | 2021-02-18 | China Institute Of Water Resources And Hydropower Research | System and method for monitoring deformation of dam slope |
| CN111147230A (en) * | 2019-12-31 | 2020-05-12 | 东方红卫星移动通信有限公司 | Information encryption transmission method between light-weight satellites based on low-earth orbit satellite Internet of things |
| CN113611082A (en) * | 2021-07-12 | 2021-11-05 | 北京铁科特种工程技术有限公司 | Unmanned aerial vehicle railway slope monitoring and early warning system and method |
| CN114353876A (en) * | 2022-01-07 | 2022-04-15 | 兰州大学 | Loess highway slope health monitoring method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116630899A (en) * | 2023-07-21 | 2023-08-22 | 四川公路工程咨询监理有限公司 | Highway side slope disease monitoring and early warning system |
| CN116630899B (en) * | 2023-07-21 | 2023-10-20 | 四川公路工程咨询监理有限公司 | Highway side slope disease monitoring and early warning system |
| CN118310435A (en) * | 2024-06-07 | 2024-07-09 | 四川公路工程咨询监理有限公司 | Slope support deformation monitoring system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114812528B (en) | 2022-10-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114812528B (en) | Automatic monitoring system applied to expressway disease side slope | |
| CN114002332A (en) | Structural damage monitoring and early warning method and structural integrity digital twinning system | |
| CN110781220A (en) | Fault early warning method and device, storage medium and electronic equipment | |
| CN112163040A (en) | Block chain-based complex structure construction monitoring method, system, equipment and medium | |
| CN115035475A (en) | Water supply pipeline real-time monitoring method and device, electronic equipment and medium | |
| CN112815885B (en) | Method and system for monitoring house wall cracks | |
| CN116858102A (en) | Weld joint size detection method, system, medium and equipment based on point cloud matching | |
| CN117629122A (en) | Dam displacement monitoring and early warning method and system | |
| CN110275896B (en) | Optical cable intrusion construction event identification method, device, equipment and readable storage medium | |
| CN118038633A (en) | Landslide geological disaster monitoring and early warning method and device | |
| CN116881622A (en) | Multi-objective optimization method for space arrangement of three-dimensional laser scanning measuring station with complex structure | |
| CN117073769A (en) | Detection device for ship body posture in full-floating state | |
| CN113343163B (en) | Large-scale corner mesh adjustment and precision evaluation method, system and storage medium | |
| CN116306777A (en) | Model precision loss positioning method and device and electronic equipment | |
| CN117993725B (en) | Stability prediction method, system, terminal and medium for large-section tunnel | |
| CN115526855A (en) | Method and device for detecting subfissure defect of battery piece, computer equipment and storage medium | |
| CN111982040B (en) | Distance measuring and calculating method and device based on rolling distance meter, computer equipment and storage medium | |
| Gaël et al. | On the impact of correlations on the congruence test: a bootstrap approach: Case study: B-spline surface fitting from TLS observations | |
| Ma et al. | Digital twin of wooden heritage through multidimensional model construction and integration | |
| CN113009575A (en) | Method and system for monitoring pollutants in underground water | |
| CN116882036B (en) | Seismic response analysis processing method and device for arch dam | |
| CN111141981A (en) | Line loss point inspection method and device, computer equipment and storage medium | |
| CN111652813B (en) | Method and device for processing cross section of transverse beam | |
| CN113744194B (en) | Steel plate defect detection method and computer readable storage medium | |
| CN116151075B (en) | BIM model-based three-dimensional noise evaluation method, medium and device |
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 |