CN202420890U - Intelligent real-time building structure detection device - Google Patents
Intelligent real-time building structure detection device Download PDFInfo
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- CN202420890U CN202420890U CN2012200021822U CN201220002182U CN202420890U CN 202420890 U CN202420890 U CN 202420890U CN 2012200021822 U CN2012200021822 U CN 2012200021822U CN 201220002182 U CN201220002182 U CN 201220002182U CN 202420890 U CN202420890 U CN 202420890U
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Abstract
The utility model discloses an intelligent real-time building structure detection device, which solves the problem that deformation of buildings are hard to be detected in the prior art. The intelligent real-time building structure detection device is characterized by consisting of linear sensors, signal processors, data acquisition units, a data processor, a data server, detection workstation and peripheral equipment, a signal bus A and a signal bus B. The connection relation of all parts includes that one linear sensor and one signal processor are connected to form one small unit, and 4-8 small units are respectively connected with the data acquisition units to form a large unit. All the large units are respectively connected with the data processor through the signal bus A, the data processor is connected with the data server, and the data server is connected with the detection workstation and peripheral equipment through the signal bus B. The detection workstation and peripheral equipment includes a computer, a display, a printer, a power source, an external interface, a mouse and a keyboard. Nodes in finite number can be subjected to shift monitoring by means of quantitative relation between the node shift and the integral deformation of a net rack, deformation of the net rack can be analyzed, safety of the net rack is predicted, and long-term continuous detection is realized.
Description
Technical field
The utility model relates to a kind of intelligent building structure real-time detection apparatus.
Background technology
From the viewpoint of structural mechanics, must deform before the building collapse, nodal displacement can ANOMALOUS VARIATIONS.Obviously, detect the variation of these displacements, can judge the bulk deformation of rack.But, be all its displacements of sensor installation detection of thousands of nodes, cost is unacceptable.And, because the large span of rack all can not detect the displacement with respect to the earth by sensor installation to most of node.Therefore, still there is not any means bulk deformation of continuous detecting circular arch grid structure for a long time so far.The correlation technique of existing detection building structure distortion comprises: (1) geodesic method detects the building structure distortion.Geodetic surveying is complicated geographical measuring system, is mainly used in geographical mapping.It is big that this method is used to detect building structure deformation operation difficulty, and system expensive requires highly to personnel's specialty, can only do short-term test, can not long-term online detection, be difficult to detect the deformation tendency of structure.(2) the fluid connection method detects foundation settlement.The liquid container that this method will be fixed on check point through communicating pipe connects, if the liquid container sedimentation can be judged the relative relief of seized measuring point through the liquid weight in the detection receptacle.This method can only be used for detecting the building discrepancy in elevation, can not detect building and shake and tilt, and can not use in the open for a long time, and precision can not guarantee.(3) strain gauge method measuring staff spare internal force.Strain gauge method can detect the internal force and the distortion of rod member, but affected by environment very big, and environment is difficult for compensation down in the open.The most fatal shortcoming is that the foil gauge measuring point damages extremely easily, can not be used for long-term online detection fully.(4) displacement detecting method detection node relative deformation.This method can be carried out long-term online detection, relative deformation that can detection node.But the bulk deformation that also is not used in building structure at present detects.
Summary of the invention
The purpose of the utility model is: overcome the problem and shortage that prior art exists; A kind of intelligent building structure real-time detection apparatus is provided; Utilize the quantitative relationship between nodal displacement and the rack bulk deformation, limited node carried out displacement monitoring, analyze the distortion of rack; The security of prediction rack realizes long-term continuous detecting.
The technical scheme that the purpose of the utility model is taked is: a kind of intelligent building structure real-time detection apparatus; It is characterized in that: form by linear transducer, signal processor, data acquisition unit, data processor, data server, testing station and peripherals, signal bus A, signal bus B; Its annexation is: linear transducer and signal processor are interconnected to a junior unit, and 4-8 junior unit connects into a big unit with data acquisition unit respectively; All big units are connected with data processor through signal bus A respectively; Data processor is connected with data server; Data server is connected with testing station and peripherals through signal bus B; Testing station and peripherals comprise computing machine, display, printer, power supply, Peripheral Interface and mouse, keyboard.The utility model utilizes the relation of the displacement of circular arch grid node and rack different distortion state and fault mode; Comprise the state that lost efficacy the state, the rack top section rod member that lost efficacy state, rack lateral parts rod member when the normal static deformation state of rack, rack free-running frequency and vibration shape, rack receive the state of wind load, state, rack that rack receives snow load to receive state, the corrosion of rack part rod member of temperature difference influence in season the inefficacy expansion that causes collapses up to rack the inefficacy expansion that causes collapses up to rack etc., constitute circular arch rack safety detection device.
The utility model is with the characteristic node of limited rack second layer node as displacement detecting.Arrange the linear transducer of change in displacement, the displacement of these nodes of continuous detecting.Employing distribution collection mode is gathered displacement data, sends into database, through showing image data, analyze displacement data historical trend, contrasting diagnosis etc. with the security diagnostics rule, judges the bulk deformation and the security of rack.The security diagnostics rule of the utility model foundation is:
(1) any one in the displacement data of being gathered surpasses tolerance limit;
(2) curve shape of the equidirectional displacement formation of grid structure homonymy characteristic node and the difference of the curve shape under the normal condition surpass tolerance limit;
(3) difference of the extent of the grid structure both sides equidirectional displacement of symmetrical feature node in twos and curve shape that is constituted and normalized curve shape surpasses tolerance limit.
(4) hardware device of device comprises: linear transducer, signal processor, signal transmission cable, distributed capture device, data processor, data server, testing station and peripherals.
The utlity model has following advantage and good effect: adopt the utility model to implement long-term, continuous, reliable safety detection, scent a hidden danger in advance, avoid the generation of serious accident to building structure.
Description of drawings
Fig. 1 is the characteristic node position view of certain circular arch grid structure and sensor installation.
Fig. 2 is the second layer node location figure of circular arch rack.Among the figure 1,2,3 ..., 15 indication parts are exactly second layer node; Z mark bearing.
Fig. 3 is the functional module structure figure of circular arch rack safety detection device.
Fig. 4 is system's pie graph of circular arch rack safety detection device.
Wherein: 1-linear transducer, range are selected in more than the 100mm-150mm, and precision is more than 0.1mm; Present embodiment is selected vibratory string linear transducer DGK4450-1500 or DGK4450-100 for use.The 2-signal processor; Present embodiment is selected VW-403 for use.The 3-data acquisition unit; Present embodiment is selected ADAM-4017 or Solatron-IMP collector for use.The 4-data processor; Present embodiment is selected the IPC610 industrial control computer for use.The 5-data server; Present embodiment is selected the general commercial server for use.6-testing station and peripherals comprise that computing machine, display, printer, power supply, Peripheral Interface and some other microcomputer set up, and like mouse, keyboard etc., this is the direct control part of system.7-signal bus A; Present embodiment is selected RS485 bus network or S-Net bus network for use.8-signal bus B; Present embodiment is selected the TCP/IP network for use.
Embodiment
Specify below in conjunction with accompanying drawing and embodiment.
Can know by Fig. 1-Fig. 4; The utility model is made up of linear transducer 1, signal processor 2, data acquisition unit 3, data processor 4, data server 5, testing station and peripherals 6, signal bus A7, signal bus B8; Its annexation is: linear transducer 1 is interconnected to a junior unit with signal processor 2, and 8-20 junior unit connects into a big unit with data acquisition unit 3 respectively; Each big unit is connected with data I/O computing machine 4 through signal bus A7 respectively; Data processor 4 is connected with data server 5; Data server 5 is connected with testing station and peripherals 6 through signal bus B8.
The installation and the principle of work thereof of the utility model are following:
(1) rigid support firmly is installed to rack second layer node from ground, is selected range at 100 millimeters to 150 millimeters linear transducer, an end is fixed on the rigid support, and the other end is fixed on the characteristic node.The sensor of X, Y, three directions of Z can be installed each characteristic node.
(2) arrange some decentralized data acquisition devices according to the quantity of sensor.Each collector is gathered the displacement signal of 8-20 sensor, and sensor is shortened to the signal line of collector as far as possible.Connect all distributed collection devices with signal bus, send into Computer Database to the data of gathering, the data that constantly collect are carried out continuous circular treatment and analytical calculation.
(3) on the display screen of device, show the change in displacement situation of each characteristic node in real time, and judge whether displacement data surpasses the maximum safe limit value.
(4) adopt the security diagnostics rule deposit computing machine in to the data of the gathering contrast diagnosis that circulates continuously, judge the security of rack building structure, in time show and report to the police.
(5) through the above-mentioned data that are kept in the database, the variation tendency of analytical characteristic nodal displacement is according to the security of security diagnostics rule prediction rack.
Claims (1)
1. intelligent building structure real-time detection apparatus; It is characterized in that: form by linear transducer, signal processor, data acquisition unit, data processor, data server, testing station and peripherals, signal bus A, signal bus B; Its annexation is: linear transducer and signal processor are interconnected to a junior unit, and 4-8 junior unit connects into a big unit with data acquisition unit respectively; All big units are connected with data processor through signal bus A respectively; Data processor is connected with data server; Data server is connected with testing station and peripherals through signal bus B; Testing station and peripherals comprise computing machine, display, printer, power supply, Peripheral Interface and mouse, keyboard.
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CN2012200021822U CN202420890U (en) | 2012-01-05 | 2012-01-05 | Intelligent real-time building structure detection device |
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CN2012200021822U CN202420890U (en) | 2012-01-05 | 2012-01-05 | Intelligent real-time building structure detection device |
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CN2012200021822U Expired - Lifetime CN202420890U (en) | 2012-01-05 | 2012-01-05 | Intelligent real-time building structure detection device |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104835305A (en) * | 2015-04-29 | 2015-08-12 | 北京玛斯特科技有限公司 | House tilting deformation real time monitoring data remote transmission system |
CN116224854A (en) * | 2022-12-27 | 2023-06-06 | 中冶建筑研究总院有限公司 | Industrial building structure soot load passive monitoring and evaluating system and method thereof |
-
2012
- 2012-01-05 CN CN2012200021822U patent/CN202420890U/en not_active Expired - Lifetime
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104835305A (en) * | 2015-04-29 | 2015-08-12 | 北京玛斯特科技有限公司 | House tilting deformation real time monitoring data remote transmission system |
CN116224854A (en) * | 2022-12-27 | 2023-06-06 | 中冶建筑研究总院有限公司 | Industrial building structure soot load passive monitoring and evaluating system and method thereof |
CN116224854B (en) * | 2022-12-27 | 2023-11-17 | 中冶建筑研究总院有限公司 | Industrial building structure soot load passive monitoring and evaluating system and method thereof |
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C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CX01 | Expiry of patent term | ||
CX01 | Expiry of patent term |
Granted publication date: 20120905 |