CN103148829A - Structural deformation detection method based on Internet of Things - Google Patents
Structural deformation detection method based on Internet of Things Download PDFInfo
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- CN103148829A CN103148829A CN2013100576632A CN201310057663A CN103148829A CN 103148829 A CN103148829 A CN 103148829A CN 2013100576632 A CN2013100576632 A CN 2013100576632A CN 201310057663 A CN201310057663 A CN 201310057663A CN 103148829 A CN103148829 A CN 103148829A
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Abstract
The invention discloses a structural deformation detection method based on the Internet of Things. Detection nodes, a master control node and a data service center are used in the structural deformation detection method. The master control node is communicated with the detection nodes in a wireless way, can be connected to the data service center in a wireless or wire communication way, downloads data from the data service center to update a local database, and uploads data to the data service center. One master control node and more than one detection nodes are arranged on one movement mechanical equipment, and the data of the detection nodes, such as linear acceleration speed, angular speed and terrestrial magnetism are collected by sensor modules on the detection nodes and compared with reference nodes to judge whether parts on the movement mechanical equipment are normal, deform, loosen or fall off. The three-dimensional dynamic movement module of the movement mechanical equipment is established by an expert system of the data service center to restore the movement trajectory and the deformation and failure conditions of the movement mechanical equipment, thereby discovering other potential problems of the movement mechanical equipment.
Description
Technical field
The present invention relates to the Internet of Things application, particularly a kind of structural deformation detection method based on Internet of Things.
Background technology
Along with the raising of social modernization's construction and mechanization degree, the increasing link of producing, live all adopts plant equipment to assist or alternative manual work, for example: forklift, fork truck, crane etc.Because these plant equipment need to be carried several tons of even heavier loads usually, so their material and structure are highly stable, sturdy.Simultaneously, the work of large load, usually can cause equipment distortion, get loose and damage.And the generation of these situations tends to cause serious accident to occur.So, these movable machinery equipment are carried out real-time deformation detect, will help to find timely the damage of device, avoid the generation of accident, also help the improvement of device.
Summary of the invention
The object of the present invention is to provide a kind of structural deformation detection method based on Internet of Things.
The present invention is achieved in that
(1) set up one based on the structural deformation pick-up unit of Internet of Things, device comprises detection node, master control node and data service center.
Detect node: comprise control module, communication module, memory module and sensor assembly.Communication module comprises short-distance wireless communication submodule and wire communication submodule; Sensor assembly comprises three-axis gyroscope, 3-axis acceleration sensor and three axle geomagnetic sensors.
Master control node: comprise control module, communication module, memory module and local data base.Communication module comprises short-distance wireless communication submodule, long distance radio communication submodule and wire communication submodule; The local data library storage comprises that the detection node of the movable machinery equipment components of installing is in the data of normal operation, deformation or fault.
Data service center: support Ethernet, mobile wireless network and wired communication interface, comprise expert system and expert database, that expert database stores is dissimilar, each parts of the movable machinery equipment of different model detect the detailed data of node normal operation, deformation or fault; Support the master control node of each movable machinery equipment to upload, downloading data; Motion model by expert system is set up carries out deformation or failure data analyzing.
On a cover movable machinery equipment, a master control node and not only detection node are installed.
Detecting between node and master control node employing short-distance wireless mode communicates by letter.The master control node is communicated by letter with detecting node by the WLAN (wireless local area network) that the short-distance wireless communication submodule builds, and is connected to data service center by long distance radio communication submodule or wire communication submodule.The master control node is downloaded basic data and new data more by communication module from data service center; And to the data service center uploading data.Master control node and each data that detect node are kept at local data base and detect in node, and local data base stores this movable machinery equipment components in the data of normal operation, deformation or fault.
On this cover movable machinery equipment, there is at least one to detect node as elementary benchmaring node, this elementary benchmaring node installation site is selected in Stability Analysis of Structures on movable machinery equipment, and the place that the forms of motion of direction of motion, speed and movable machinery equipment itself is consistent, be used for the initial alignment standard that other detect node, other detect node and are arranged on the structural deformation more sensitive position of induction of movable machinery equipment or two positions that web member is interconnected and fixed on movable machinery equipment.
The detection node of installing on movable machinery equipment, utilize sensor assembly to gather linear acceleration, angular velocity and the geomagnetic data of this check point, after the control module pre-service that detects node, send the data to the master control node by communication module, the master control node is responsible for processing detection node data; The master control node is set up local data base, the master control node will be collected respectively detect the node data and process after, compare with the data of local data base, as deformation, fault data occur, just give the alarm, and will detect data and be uploaded to data service center by communication module.
For the unified management of data service center and the analysis of data, detection node quantity and position consistency that movable machinery equipment of the same type, same model is installed.The expert database of data service center, by two parts Data Source: 1, the production before movable machinery equipment dispatches from the factory, design, test phase, give movable machinery equipment installation and measuring node, and movable machinery equipment is comparatively comprehensively debugged, obtain when normal operation work the sensing data in the situation such as travel, jolt, bear a heavy burden, collision etc. easily produce structural distortion, deformation, get loose.2, in the work engineering of movable machinery equipment after dispatching from the factory, gathered the sensing data of uploading by the master control node by the detection node on movable machinery equipment.
The expert system of data service center has set up 3 dimension dynamic motion models for movable machinery equipment dissimilar, different model, 3 dimension dynamic motion models can import the data that each master control node is uploaded, and by data analysis, reduction movable machinery equipment moving track and deformation, failure condition, thereby other the potential problems on discovery movable machinery equipment.
On a cover movable machinery equipment, according to annexation each other, parts are carried out classify and grading and process, be divided into: elementary link, one-level link, M(M are the natural number more than or equal to 2) the level link.
Elementary link: be arranged on Stability Analysis of Structures on movable machinery equipment, and the parts that are consistent of the forms of motion of direction of motion, speed etc. and movable machinery equipment itself.Elementary benchmaring node is arranged on this grade link.
One-level link: by elementary link, be mounted in moving object, when the work of movable machinery equipment is turned round, the relative motion generation of relatively elementary link or the link that deformation occurs arranged.One-level benchmaring node and detect nodes for detection of other of one-level link deformation is arranged on this grade link.
M(M is the natural number more than or equal to 2) the level link: by M-1 level link, be mounted on movable machinery equipment, when the work of movable machinery equipment is turned round, the relative motion generation of relative M-1 level link or the link that deformation occurs are arranged.M level benchmaring node and detect nodes for detection of other of M level link deformation is arranged on this grade link.
If not only link with one-level is arranged, and independent to each other, during without direct annexation, each link should be selected separately independently benchmaring node.
Each benchmaring node is used as simultaneously the corresponding levels and respectively detects the benchmaring node of the data of node and the next stage link that this link connects to the routing node of upper level node the transmission of data.
(2) structural deformation that utilizes above structural deformation pick-up unit to carry out Internet of Things detects:
Structural deformation detects main by the analyte sensors data.Data analysis has two stages: the phase one completes at master control node and detection node, and subordinate phase is completed at data service center.At data service center, collect and gather the sensing data that each movable machinery equipment is uploaded, with respectively detecting the sensing data of node on single movable machinery equipment, generate the dynamic model of a tracing of the movement and structural deformation, and model is analyzed.By the model analysis data, the deformation situation of judgement movable machinery equipment.
Phase one is as follows at the detecting step of master control node and detection node:
Step 1: the self calibration of elementary benchmaring node.
Step 2: take elementary benchmaring node as datum node, the linear acceleration of more elementary benchmaring nodal line acceleration and one-level benchmaring node, the angular velocity of more elementary benchmaring node angular velocity and one-level benchmaring node, the geomagnetic data of more elementary benchmaring node geomagnetic data and one-level benchmaring node.
Step 3: take one-level benchmaring node as datum node, relatively one-level benchmaring nodal line acceleration and other N-1(N on the one-level link be the natural number more than or equal to 2) linear acceleration of individual one-level detection node, the angular velocity that compares one-level benchmaring node angular velocity and other N-1 on the one-level link one-levels detection nodes, the relatively geomagnetic data of the geomagnetic data of one-level benchmaring node and other N-1 on the one-level link one-levels detection nodes.
Step 4: take one-level benchmaring node as datum node, the linear acceleration that compares one-level benchmaring nodal line acceleration and secondary benchmaring node, the angular velocity that compares one-level benchmaring node angular velocity and secondary benchmaring node, the relatively geomagnetic data of one-level benchmaring node geomagnetic data and secondary benchmaring node.
Step 5: take secondary benchmaring node as datum node, relatively secondary benchmaring nodal line acceleration and other N-1(N on the secondary link are the natural number more than or equal to 2) linear acceleration of individual secondary detection node, relatively the angular velocity of secondary benchmaring node angular velocity and other N-1 on secondary link secondary detection node, compare the geomagnetic data of secondary benchmaring node and the geomagnetic data of other N-1 on secondary link secondary detection node.
Step 6: take M level benchmaring node as datum node, relatively M(M be the natural number more than or equal to 2) linear acceleration of grade benchmaring nodal line acceleration and M+1 grade benchmaring node, relatively the angular velocity of M level benchmaring node angular velocity and M+1 level benchmaring node, compare the geomagnetic data of M level benchmaring node and the geomagnetic data of M+1 level benchmaring node.
Step 7: take M+1 level benchmaring node as datum node, relatively M+1 grade benchmaring nodal line acceleration and other N-1 M+1 level detect the linear acceleration of node, relatively M+1 level benchmaring node angular velocity and other N-1 M+1 level detect the angular velocity of node, and relatively the geomagnetic data of M+1 level benchmaring node and other N-1 M+1 level detect the geomagnetic data of node.
The combination that the angular velocity that detects node is resolved into two components: 1, the angular velocity component on datum node direction of motion; 2, at some direction line angle speed components.The combination that the geomagnetic data that detects node is resolved into two components: 1, the geomagnetic data component on datum node direction of motion; 2, at some direction line geomagnetic data components.
Detect node linear acceleration, angular velocity, earth magnetism data and datum node relatively, if direction, size are all the same, expression detection node is relative with datum node static; Otherwise the contrasting data storehouse judges according to the value of database whether the motion of the parts that this detections node is installed is normal, whether deformation occurs, become flexible or come off.
The present invention helps to find timely the damage of the plant equipment such as forklift, fork truck, crane, avoids the generation of accident, also helps the improvement of plant equipment.
Description of drawings
Fig. 1 is the structural deformation detection system structural representation of embodiments of the invention.
Fig. 2 is the detection node scheme of installations of embodiments of the invention on fork truck.
Mark in figure: 1-door frame; The left pallet fork of 2-; The 3-right fork; 4-keeps off shelf; The 5-chain, 6-inclination fluid cylinder; 7-detects node; 8-master control node; The 9-data service center; The 10-crane; 11-hook machine; The 12-fork truck; 001,111,112,113,121,122,131,132,141,142 and 143 is all to detect node.
Embodiment
Embodiment:
(1) set up one based on the structural deformation pick-up unit of Internet of Things, comprise and detect node 7, master control node 8 and data service center 9.
Detect node 7: include control module, communication module, memory module and sensor assembly.Communication module comprises short-distance wireless communication submodule and wire communication submodule; Sensor assembly comprises three-axis gyroscope, 3-axis acceleration sensor and three axle geomagnetic sensors.
Master control node 8: comprise control module, communication module, memory module and local data base, communication module comprises short-distance wireless communication submodule, long distance radio communication submodule and wire communication submodule.The local data library storage comprises that the detection node of the movable machinery equipment components of installing is in the data of normal operation, deformation or fault.
Data service center 9: support Ethernet, mobile wireless network and wired communication interface, comprise expert system and expert database, that expert database stores is dissimilar, each parts of the movable machinery equipment of different model detect the detailed data of node 7 normal operations, deformation or fault.The master control node 8 of support fork truck 12, hook machine 11, crane 10 each movable machinery equipment is uploaded, downloading data.And the motion model by expert system is set up carries out deformation or failure data analyzing.
In the present embodiment, each master control node 7 is contained on a cover movable machinery equipment, and each master control node 8 fill not only detection node 7 on movable machinery equipment, employing Zigbee wireless communication with institute.Each master control node 8 is by wired serial communication, and perhaps the expert database of 3G mobile network and data service center 9 carries out uploading, downloading of data.
In the present embodiment, install on a fork truck 12, hook machine 11, crane 10 respectively a cover master control node 8 and not only one detect node 7.
Wherein, with a cover master control node 8 with detect node 7 and be arranged on fork truck 12, for detection of the deformation of the load-bearing such as the left pallet fork 2 of fork truck 12, right fork 3, door frame 1, gear shelf 4, part of the force.Wherein, a master control node 8 and 11 detection nodes 7 are arranged.
The inclination fluid cylinder 6 of fork truck 12 connects door frame 1, and door frame 1 can have the inclination of certain angle under the effect of inclination fluid cylinder 6.Door frame 1 is connected by chain 5 with gear shelf 4, and gear shelf 4 can slide along chain 5 directions.Left pallet fork 2, right fork 3 are fixedly connected on gear shelf 4.
As Fig. 2, detect node 001 and be arranged on inclination fluid cylinder 6 and be fixed on position on fork truck 12 vehicle bodies, as elementary benchmaring node.Detect the junction that node 111 is arranged on door frame 1 and inclination fluid cylinder 6, detect node 112, detect bottom and top that node 113 is arranged on respectively door frame 1, detect node 111, as one-level benchmaring node.Detection node 141, detection node 142, detection node 143 are arranged on respectively on gear shelf 4.Detect node 141 as secondary benchmaring node.Detect node 121, detect top and front portion, the end that node 122 is arranged on respectively left pallet fork 2, detect node 121 as three grades of benchmaring nodes.Detect node 131, detect top and front portion, the end that node 132 is arranged on respectively right fork 3, detect node 131 as another three grades of benchmaring nodes.
In any one moment of fork truck 12 work, inclination fluid cylinder 6 connects door frame 1, when fork truck 12 normal operation, no matter be to advance, retreat, turn, or other normal operating conditions, door frame 1 is run-off the straight under the effect of inclination fluid cylinder 6 only, and other situation lower mast 1 should remain relative static with inclination fluid cylinder 6, detects node 111 relative with 001 static that is:.
Detecting node 111, as one-level benchmaring node, is to detect node 112,113 datum node.For detecting node 112, only in 6 work of inclination fluid cylinder, in the process of door frame 1 banking motion, have with respect to detecting outside the relatively rotating of node 111, other any moment, should with detect node 111 and keep relative static.In like manner, detect node 113.
Because gear shelf 4 can only be under the drive of chain 5,1 time movement on the door frame, so the relative motion of door frame 1 and gear shelf 4, only have chain 5 axially on motion.Detecting node 141, as secondary benchmaring node, is to detect node 142,143 datum node, the detection node 111 on door frame 1 relatively, only when moving up and down along door frame 1, have chain 5 axially on motion, other situations should be relatively static.
Can be known by above explanation: each point of same parts, do not occuring under the prerequisite of deformation, in any moment of movable machinery equipment work, all should be relatively static or be the rotation that angular velocity equates.Be enough to two conditions if be discontented with, illustrate that deformation occurs parts itself.For two parts that are connected, be also generally to keep relatively static, only can work under certain condition, just have the relative motion of some ad hoc fashion, such as: slip, rotation etc.Otherwise, the situation such as become flexible, come off is described between parts.
(2) the structural deformation detection method on fork truck 12 is as follows:
At first, the master control node on this fork truck 12 needs to download from the expert database of data service center the data that respectively detect node, deposits local data base in.When fork truck 12 work, fork truck is carried out real-time detection.Step is as follows:
Step 1: the self calibration of the elementary benchmaring node 001 on fork truck 12 vehicle bodies.
Step 2: take elementary benchmaring node 001 as datum node, the linear acceleration of the one-level benchmaring node 111 on more elementary benchmaring node 001 linear acceleration and door frame 1, the angular velocity of the one-level benchmaring node 111 on more elementary benchmaring node 001 angular velocity and door frame 1, the geomagnetic data of the one-level benchmaring node 111 on more elementary benchmaring node 001 geomagnetic data and door frame 1.
Step 3: the one-level benchmaring node 111 on the door frame 1 is as datum node, compare other one-levels detection nodes 112 on one-level benchmaring node 111 linear accelerations and door frame 1,113 linear acceleration, relatively the one-level on one-level benchmaring node 111 angular velocity and door frame 1 detects node 112,113 angular velocity, and relatively the geomagnetic data of one-level benchmaring node 111 and the one-level on door frame 1 detect node 112,113 geomagnetic data.
Step 4: 1 one-level benchmaring node is as datum node on the door frame, the linear acceleration that compares the one-level benchmaring nodal line acceleration on door frame 1 and keep off the secondary benchmaring node 141 on shelf 4, relatively the angular velocity of the secondary benchmaring node 141 on one-level benchmaring node 141 angular velocity on door frame 1 and gear shelf 4, compare the geomagnetic data of the one-level benchmaring node 141 on door frame 1 and the geomagnetic data of the secondary benchmaring node 141 on gear shelf 4.
Step 5: take the secondary benchmaring node of gear on shelf 4 as datum node, relatively keep off the secondary benchmaring nodal line acceleration on shelf 4 and keep off other secondary detection nodes 142 on shelf 4,143 linear acceleration, relatively keep off secondary benchmaring node 142,143 angular velocity on shelf 4 and keep off other secondary detection nodes 142 on shelf 4,143 angular velocity, relatively keep off the geomagnetic data of the secondary benchmaring node 141 on shelf 4 and keep off other secondary detection nodes 142 on shelf 4,143 geomagnetic data.
Step 6: take the secondary benchmaring node 141 of gear on shelf 4 as datum node, relatively keep off secondary benchmaring node 141 linear accelerations on shelf 4 and the linear acceleration of three grades of benchmaring nodes 121 on left pallet fork 2, relatively keep off secondary benchmaring node 141 angular velocity on shelf 4 and the angular velocity of three grades of benchmaring nodes 121 on left pallet fork 2, relatively keep off the geomagnetic data of the secondary benchmaring node 141 on shelf 4 and the geomagnetic data of three grades of benchmaring nodes 141 on left pallet fork 2.
Step 7: three grades of benchmaring nodes 121 on the left pallet fork 2 are as datum node, other the three grades linear accelerations that detect nodes 122 on three grades of benchmaring nodal line 121 acceleration on more left pallet fork 2 and left pallet fork 2, other the three grades angular velocity that detect nodes 122 on three grades of benchmaring node 121 angular velocity on more left pallet fork 2 and left pallet fork 2, the geomagnetic data of three grades of benchmaring nodes 121 on more left pallet fork 2 and other the three grades geomagnetic datas that detect nodes 122 on left pallet fork 2.
Step 8: take the secondary benchmaring node 141 of gear on shelf 4 as datum node, relatively keep off secondary benchmaring nodal line 141 acceleration on shelf 4 and the linear acceleration of three grades of benchmaring nodes 131 on right fork 3, relatively keep off secondary benchmaring node 141 angular velocity on shelf 4 and the angular velocity of three grades of benchmaring nodes 131 on right fork 3, relatively keep off the geomagnetic data of the secondary benchmaring node 141 on shelf 4 and the geomagnetic data of three grades of benchmaring nodes 131 on right fork 3.
Step 9: three grades of benchmaring nodes 131 on the right fork 3 are as datum node, relatively three grades of benchmaring node 131 linear accelerations on right fork 3 and other the three grades linear accelerations that detect nodes 132 on right fork 3, three grades of benchmaring node 131 angular velocity on righter goods 3 forks and other the three grades angular velocity that detect nodes 132 on right fork 3, the geomagnetic data of three grades of benchmaring nodes 131 on righter goods 3 forks and other the three grades geomagnetic datas that detect nodes 132 on right fork 3.
With detect node linear acceleration, angular velocity, earth magnetism data and its datum node relatively, if direction, size are all the same, expression detection node is relative with datum node static; Otherwise the local data base on contrast master control node judges according to the value of local data base whether the motion of the parts that this detections node is installed is normal, whether deformation occurs, become flexible or come off.
Simultaneously, master control node 8 will detect the data that node 7 is collected from 11, be uploaded to data service center 9, set up one as the 3 dimension dynamic models of Fig. 2 on the expert system of data service center 9, expert system is utilized principle and the computing method of inertial navigation, on reduction fork truck 12 and fork truck 12, on door frame 1, gear shelf 4, left pallet fork 2, right fork 3, each detects the movement locus of node, thereby finds respectively to detect little deformation that node reflects.And with the general character data that these data extract, deposit the expert database on data service center 9 in, provide the master control node 8 on each same model fork truck to download.And send early warning signal to the master control node 8 of the fork truck 12 of uploading these raw data, remind in time maintenance.
In like manner, every suit master control node of installing on, different model dissimilar at crane 10, hook machine 11 or other and detect the method implementation structure deformation that node can sample such and detect.
Claims (1)
1. structural deformation detection method based on Internet of Things is characterized in that concrete steps are:
(1) set up one based on the structural deformation pick-up unit of Internet of Things, device comprises detection node, master control node and data service center;
Detect node: comprise control module, communication module, memory module and sensor assembly; Communication module comprises short-distance wireless communication submodule and wire communication submodule; Sensor assembly comprises three-axis gyroscope, 3-axis acceleration sensor and three axle geomagnetic sensors;
Master control node: comprise control module, communication module, memory module and local data base; Communication module comprises short-distance wireless communication submodule, long distance radio communication submodule and wire communication submodule; The local data library storage comprises that the detection node of the movable machinery equipment components of installing is in the data of normal operation, deformation or fault;
Data service center: support Ethernet, mobile wireless network and wired communication interface, comprise expert system and expert database, that expert database stores is dissimilar, each parts of the movable machinery equipment of different model detect the detailed data of node normal operation, deformation or fault; Support the master control node of each movable machinery equipment to upload, downloading data; Motion model by expert system is set up carries out deformation or failure data analyzing;
On a cover movable machinery equipment, a master control node and not only detection node are installed;
Detecting between node and master control node employing short-distance wireless mode communicates by letter; The master control node is communicated by letter with detecting node by the WLAN (wireless local area network) that the short-distance wireless communication submodule builds, and is connected to data service center by long distance radio communication submodule or wire communication submodule; The master control node is downloaded basic data and new data more by communication module from data service center; And to the data service center uploading data; Master control node and each data that detect node are kept at local data base and detect in node, and local data base stores this movable machinery equipment components in the data of normal operation, deformation or fault;
On this cover movable machinery equipment, there is at least one to detect node as elementary benchmaring node, this elementary benchmaring node installation site is selected in Stability Analysis of Structures on movable machinery equipment, and the place that the forms of motion of direction of motion, speed and movable machinery equipment itself is consistent, be used for the initial alignment standard that other detect node, other detect node and are arranged on the structural deformation more sensitive position of induction of movable machinery equipment or two positions that web member is interconnected and fixed on movable machinery equipment;
The detection node of installing on movable machinery equipment, utilize sensor assembly to gather linear acceleration, angular velocity and the geomagnetic data of this check point, after the control module pre-service that detects node, send the data to the master control node by communication module, the master control node is responsible for processing detection node data; The master control node is set up local data base, the master control node will be collected respectively detect the node data and process after, compare with the data of local data base, as deformation, fault data occur, just give the alarm, and will detect data and be uploaded to data service center by communication module;
For the unified management of data service center and the analysis of data, detection node quantity and position consistency that movable machinery equipment of the same type, same model is installed; The expert database of data service center, by two parts Data Source: 1, the production before movable machinery equipment dispatches from the factory, design, test phase, give movable machinery equipment installation and measuring node, and movable machinery equipment is comparatively comprehensively debugged, obtain when normal operation work the sensing data in the situation such as travel, jolt, bear a heavy burden, collision etc. easily produce structural distortion, deformation, get loose; 2, in the work engineering of movable machinery equipment after dispatching from the factory, gathered the sensing data of uploading by the master control node by the detection node on movable machinery equipment;
The expert system of data service center has set up 3 dimension dynamic motion models for movable machinery equipment dissimilar, different model, 3 dimension dynamic motion models can import the data that each master control node is uploaded, and by data analysis, reduction movable machinery equipment moving track and deformation, failure condition, thereby other the potential problems on discovery movable machinery equipment;
On a cover movable machinery equipment, according to annexation each other, parts are carried out classify and grading and process, be divided into: elementary link, one-level link, M level link; M is the natural number more than or equal to 2;
Elementary link: be arranged on Stability Analysis of Structures on movable machinery equipment, and the parts that are consistent of the forms of motion of direction of motion, speed etc. and movable machinery equipment itself; Elementary benchmaring node is arranged on this grade link;
One-level link: by elementary link, be mounted in moving object, when the work of movable machinery equipment is turned round, the relative motion generation of relatively elementary link or the link that deformation occurs arranged; One-level benchmaring node and detect nodes for detection of other of one-level link deformation is arranged on this grade link;
M level link: by M-1 level link, be mounted on movable machinery equipment, when the work of movable machinery equipment is turned round, the relative motion generation of relative M-1 level link or the link that deformation occurs arranged; M level benchmaring node and detect nodes for detection of other of M level link deformation is arranged on this grade link; M is the natural number more than or equal to 2;
If not only link with one-level is arranged, and independent to each other, during without direct annexation, each link should be selected separately independently benchmaring node;
Each benchmaring node is used as simultaneously the corresponding levels and respectively detects the benchmaring node of the data of node and the next stage link that this link connects to the routing node of upper level node the transmission of data;
(2) structural deformation that utilizes above structural deformation pick-up unit to carry out Internet of Things detects:
Structural deformation detects main by the analyte sensors data; Data analysis has two stages: the phase one completes at master control node and detection node, and subordinate phase is completed at data service center; At data service center, collect and gather the sensing data that each movable machinery equipment is uploaded, with respectively detecting the sensing data of node on single movable machinery equipment, generate the dynamic model of a tracing of the movement and structural deformation, and model is analyzed; By the model analysis data, the deformation situation of judgement movable machinery equipment;
Phase one is as follows at the detecting step of master control node and detection node:
The self calibration of elementary benchmaring node;
Take elementary benchmaring node as datum node, the linear acceleration of more elementary benchmaring nodal line acceleration and one-level benchmaring node, the angular velocity of more elementary benchmaring node angular velocity and one-level benchmaring node, the geomagnetic data of more elementary benchmaring node geomagnetic data and one-level benchmaring node;
Take one-level benchmaring node as datum node, the linear acceleration that compares one-level benchmaring nodal line acceleration and other N-1 on the one-level link one-levels detection nodes, the angular velocity that compares one-level benchmaring node angular velocity and other N-1 on the one-level link one-levels detection nodes, the relatively geomagnetic data of the geomagnetic data of one-level benchmaring node and other N-1 on the one-level link one-levels detection nodes; N is the natural number more than or equal to 2;
Take one-level benchmaring node as datum node, the linear acceleration that compares one-level benchmaring nodal line acceleration and secondary benchmaring node, the angular velocity that compares one-level benchmaring node angular velocity and secondary benchmaring node, the relatively geomagnetic data of one-level benchmaring node geomagnetic data and secondary benchmaring node;
Take secondary benchmaring node as datum node, the linear acceleration that compares secondary benchmaring nodal line acceleration and other N-1 on secondary link secondary detection node, relatively the angular velocity of secondary benchmaring node angular velocity and other N-1 on secondary link secondary detection node, compare the geomagnetic data of secondary benchmaring node and the geomagnetic data of other N-1 on secondary link secondary detection node; N is the natural number more than or equal to 2;
Take M level benchmaring node as datum node, the linear acceleration that compares M level benchmaring nodal line acceleration and M+1 grade benchmaring node, relatively the angular velocity of M level benchmaring node angular velocity and M+1 level benchmaring node, compare the geomagnetic data of M level benchmaring node and the geomagnetic data of M+1 level benchmaring node; M is the natural number more than or equal to 2;
Take M+1 level benchmaring node as datum node, relatively M+1 grade benchmaring nodal line acceleration and other N-1 M+1 level detect the linear acceleration of node, relatively M+1 level benchmaring node angular velocity and other N-1 M+1 level detect the angular velocity of node, and relatively the geomagnetic data of M+1 level benchmaring node and other N-1 M+1 level detect the geomagnetic data of node;
Step 2,3,4,5,6,7 comparative approach are: will detect linear acceleration, the angular velocity of node, the data of earth magnetism, carry out resolution of vectors with methods such as parallelogram rule, triangle rules, the combination that the linear acceleration that detects node is resolved into two components: 1, the linear acceleration component on datum node direction of motion; 2, at some direction linear acceleration components;
The combination that the angular velocity that detects node is resolved into two components: 1, the angular velocity component on datum node direction of motion; 2, at some direction line angle speed components; The combination that the geomagnetic data that detects node is resolved into two components: 1, the geomagnetic data component on datum node direction of motion; 2, at some direction line geomagnetic data components;
Detect node linear acceleration, angular velocity, earth magnetism data and datum node relatively, if direction, size are all the same, expression detection node is relative with datum node static; Otherwise the contrasting data storehouse judges according to the value of database whether the motion of the parts that this detections node is installed is normal, whether deformation occurs, become flexible or come off.
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| CN111189427A (en) * | 2020-02-13 | 2020-05-22 | 桂林理工大学 | Real-time monitoring method for bending deformation of simply supported beam |
| CN112950549A (en) * | 2021-02-04 | 2021-06-11 | 科大智能物联技术有限公司 | Goods shelf deformation detection system and detection method based on machine vision |
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| CN103148829B (en) | 2015-11-04 |
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