CN112834252A - Bridge abnormal data trend judgment method - Google Patents
Bridge abnormal data trend judgment method Download PDFInfo
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- CN112834252A CN112834252A CN202011589814.5A CN202011589814A CN112834252A CN 112834252 A CN112834252 A CN 112834252A CN 202011589814 A CN202011589814 A CN 202011589814A CN 112834252 A CN112834252 A CN 112834252A
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- 230000002159 abnormal effect Effects 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000005303 weighing Methods 0.000 claims abstract description 95
- 230000006698 induction Effects 0.000 claims abstract description 27
- 238000006073 displacement reaction Methods 0.000 claims abstract description 19
- 239000012790 adhesive layer Substances 0.000 claims description 29
- 239000003292 glue Substances 0.000 claims description 27
- 239000002184 metal Substances 0.000 claims description 26
- 239000010410 layer Substances 0.000 claims description 23
- 239000000725 suspension Substances 0.000 claims description 16
- 238000005452 bending Methods 0.000 claims description 8
- 238000007789 sealing Methods 0.000 claims description 8
- 239000000853 adhesive Substances 0.000 claims 2
- 230000001070 adhesive effect Effects 0.000 claims 2
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 230000000694 effects Effects 0.000 description 5
- 230000004888 barrier function Effects 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000009365 direct transmission Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012856 packing Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
- G01G19/03—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles for weighing during motion
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/08—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices
- G01V3/10—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices using induction coils
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- 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
- G06T17/05—Geographic models
Abstract
The invention relates to the technical field of safety monitoring and discloses a method for judging abnormal data trend of a bridge, wherein a displacement sensor is arranged on the bridge and monitors fluctuation data of the bridge; a weighing area is arranged on the bridge, two weighing sensors are arranged in the weighing area, an induction coil is arranged in the weighing area, and the induction coil is positioned between the two weighing sensors; a camera is arranged in front of the weighing area and shoots images of the vehicles passing through the weighing area; the weighing sensor, the induction coil and the camera transmit data to the background control center through a wireless network; when the displacement sensor monitors that abnormal fluctuation data exist in the bridge in a certain time period, the background control center judges whether vehicles passing through the weighing area in the time period are overweight or not, further judges the causing factors of the fluctuation data, and can judge the abnormal data trend of the bridge.
Description
Technical Field
The invention relates to the technical field of safety monitoring, in particular to a method for judging abnormal data trend of a bridge.
Background
The bridge refers to a building constructed for a road to cross natural or artificial barriers, and is erected on rivers, lakes and seas, so that vehicles, pedestrians and the like can smoothly pass through the bridge. The bridge generally consists of an upper structure, a lower structure and an auxiliary structure, wherein the upper structure mainly refers to a bridge span structure and a support system; the lower structure comprises a bridge abutment, a bridge pier and a foundation; the auxiliary structures refer to bridge end butt straps, tapered revetments, diversion works and the like. The bridge is divided according to a structural system and comprises four basic systems, namely a beam bridge, an arch bridge, a rigid bridge and a suspension cable bearing (a suspension bridge and a cable-stayed bridge).
At present, a bridge is used as a common traffic building for vehicle running and transportation, the traffic volume of the bridge is very large, and a phenomenon of overweight frequently occurs for some large transport vehicles, so that great potential safety hazards exist for the bridge.
In the prior art, in order to maintain safety, safety monitoring is often performed on a bridge, particularly, the bridge is subjected to fluctuation data caused by wind power or other environmental factors, so that the bridge safety can be monitored, but the bridge is easy to fluctuate due to vibration caused by the pressure of the bridge due to vehicle overload, so that a supervisor is difficult to judge whether the fluctuation data of the bridge is caused by vehicle overload or caused by the bridge, and is difficult to perform trend judgment on abnormal data of the bridge.
Disclosure of Invention
The invention aims to provide a method for judging the trend of bridge abnormal data, and aims to solve the problem that in the prior art, a supervisor cannot judge the trend of the bridge abnormal data.
The invention is realized in such a way, the method for judging the trend of the abnormal data of the bridge is characterized in that a displacement sensor is arranged on the bridge, the displacement sensor monitors the fluctuation data of the bridge, and the displacement sensor transmits the fluctuation data of the bridge to a background control center through a wireless network; the method comprises the following steps that a weighing area is arranged on a bridge, two weighing sensors are arranged in the weighing area, the two weighing sensors are arranged at intervals along the running direction of a vehicle on the bridge, and the weighing sensors extend along the width direction of the bridge; an induction coil is arranged in the weighing area and is positioned between the two weighing sensors; a camera is arranged in front of the weighing area and used for shooting images of vehicles passing through the weighing area; the weighing sensor, the induction coil and the camera transmit data to the background control center through a wireless network; when the displacement sensor monitors that abnormal fluctuation data exist in the bridge in a certain time period, the background control center judges whether the vehicle passing through the weighing area in the certain time period is overweight.
Further, when the vehicle passing through the weighing area is overweight in the time period, the background control center calculates whether the difference value between the vehicle fluctuation data and the abnormal fluctuation data of the overweight vehicle, which causes the bridge fluctuation, is within a set range.
Furthermore, a visualized three-dimensional model of the bridge is established in the background control center, and fluctuation data monitored by the displacement sensor is embedded in the three-dimensional model and displayed.
Furthermore, two groove strips are arranged in the weighing area, are arranged at intervals along the driving direction of a vehicle on the bridge and extend along the width direction of the bridge; the weighing sensor is arranged in the groove strip, the groove strip is covered with a sealing layer, and the sealing layer and the weighing area are arranged in parallel and level.
Further, the bottom of groove strip is filled with down the glue film, the both sides of glue film extend upwards down and form gluey lateral wall, the weighing sensor butt is on glue film down, just the both sides butt of weighing sensor is gluey lateral wall.
Furthermore, the sealing layer is an upper adhesive layer filled at the upper part of the groove strip, two side walls of the upper adhesive layer are oppositely and obliquely arranged along the direction from top to bottom, and the bottom of the upper adhesive layer is abutted against the weighing sensor; the upper adhesive layer and the lower adhesive layer are filled with the whole groove strip.
Furthermore, a plurality of metal sheets are arranged at the bottom of the upper adhesive layer and are arranged at intervals along the length direction of the upper adhesive layer; two sides of the metal sheet extend to two side walls of the upper glue layer to form side wall sections attached to the side walls of the upper glue layer; the bottom of the metal sheet protrudes downwards to form a bulge, and the bulge abuts against the weighing sensor.
Furthermore, be equipped with the metal strip in the rubberizing layer, the metal strip along the length direction of rubberizing layer extends and arranges, the bottom of metal strip is revealed the bottom of rubberizing layer, and respectively with a plurality of the top fixed connection of sheetmetal.
Further, a suspension rod extending along the width of the bridge is arranged in front of the weighing area, and the suspension rod is positioned above the bridge; the suspension rod is provided with horizontal sections which are horizontally arranged at two ends, the middle part of the suspension rod is provided with a bending section which is downwards bent in an arc shape, and two ends of the bending section are butted with the horizontal sections; the horizontal section and the bending section are respectively provided with the cameras, and the cameras are arranged downwards in the weighing area.
Furthermore, the induction coil is provided with two induction side edges which respectively face the weighing sensor, the middle parts of the induction side edges are bent and protruded towards the weighing sensor to form a triangular middle part in a triangular shape, the triangular middle part is provided with a triangular end head, and the triangular end head faces the weighing sensor; the induction side edge is provided with a straight line side edge positioned on the outer side of the middle part of the triangle, and the straight line side edge is arranged in parallel with the weighing sensor.
Compared with the prior art, the bridge abnormal data trend judging method provided by the invention can judge the abnormal data trend of the bridge by judging whether the vehicle of the bridge is overweight in a certain time period and further judging the causing factor of the fluctuation data when the background control center monitors that the fluctuation data of the bridge is abnormal in the certain time period through the displacement sensor.
Drawings
FIG. 1 is a schematic front view of a device for determining a trend of abnormal data of a bridge according to the present invention;
FIG. 2 is a schematic front view of the interior of the mounting slot provided by the present invention;
fig. 3 is a front view schematically illustrating a suspension bar according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The following describes the implementation of the present invention in detail with reference to specific embodiments.
The same or similar reference numerals in the drawings of the present embodiment correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", etc. based on the orientation or positional relationship shown in the drawings, it is only for convenience of describing the present invention and simplifying the description, but it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and are not to be construed as limiting the present patent, and the specific meaning of the terms may be understood by those skilled in the art according to specific circumstances.
Referring to fig. 1-3, preferred embodiments of the present invention are shown.
According to the bridge abnormal data trend judgment method, the displacement sensor is arranged on the bridge 500 and used for monitoring the fluctuation data of the bridge 500, and the displacement sensor transmits the fluctuation data of the bridge 500 to the background control center through a wireless network, so that the fluctuation data of the bridge 500 can be directly monitored through the displacement sensor.
A weighing area is arranged on the bridge 500, two weighing sensors are arranged in the weighing area, the two weighing sensors are arranged at intervals along the running direction of a vehicle on the bridge 500, and the weighing sensors extend along the width direction of the bridge 500; an induction coil 200 is arranged in the weighing area, and the induction coil 200 is positioned between the two weighing sensors; through weighing sensor can monitor the weight of the vehicle that passes through on the bridge 500, judge whether overweight appears in the vehicle, in addition, through setting up induction coil 200, when the vehicle passes through induction coil 200's top, mutual induction between the metal chassis of vehicle and induction coil 200 to can judge the traffic direction of vehicle etc..
A camera 301 is arranged in front of the weighing area, and the camera 301 shoots an image of a vehicle passing through the weighing area; the weighing sensor, the induction coil 200 and the camera 301 transmit data to the background control center through a wireless network; when the displacement sensor monitors that abnormal fluctuation data exist in the bridge 500 in a certain time period, the background control center judges whether the vehicle passing through the weighing area in the time period is overweight.
According to the method for judging the trend of the abnormal data of the bridge, when the background control center monitors that the fluctuation data of the bridge 500 in a certain time period is abnormal through the displacement sensor, the trend of the abnormal data of the bridge 500 can be judged by judging whether vehicles of the bridge 500 are overweight in the time period and further judging the causing factor of the fluctuation data.
When the vehicle passing through the weighing area is overweight in a time period, the background control center calculates whether the difference value between the vehicle fluctuation data and the abnormal fluctuation data of the overweight vehicle, which causes the fluctuation of the bridge 500, is within a set range.
Therefore, when the difference value is not in the set range, the abnormal fluctuation data may be caused by other reasons, and only when the difference value is in the set range, the abnormal fluctuation data may be determined to be caused by the overload of the vehicle, so that the accurate judgment of the abnormal data of the bridge 500 is ensured.
A visual three-dimensional model of the bridge 500 is established in the background control center, and fluctuation data monitored by the displacement sensor is embedded in the three-dimensional model and displayed. Thus, in the background control center, the state of the bridge 500 can be monitored directly by observing the data change of the three-dimensional model.
Two groove strips are arranged in the weighing area, are arranged at intervals along the driving direction of the vehicle on the bridge 500, and extend along the width direction of the bridge 500; the weighing sensor is arranged in the groove strip, the groove strip is covered with a sealing layer, and the sealing layer is arranged in parallel and level with the weighing area. When the vehicle passes over the weighing sensor, the vehicle can be downwards pressed against the weighing sensor, so that the weight of the vehicle is weighed through the pressure data.
The bottom packing of groove strip has lower glue film 101, and the both sides of lower glue film 101 extend upwards and form gluey lateral wall, and the weighing sensor butt is on glue film 101 down, and the both sides butt of weighing sensor is gluey lateral wall. Play the effect of supporting the protection through lower glue film 101 and gluey lateral wall weighing sensor, when weighing sensor received the extrusion, can cushion weighing sensor's removal, avoid weighing sensor damaged. In addition, the glue side wall is formed on two sides of the weighing sensor, and forms surrounding abutting protection of the weighing sensor with the lower glue layer 101.
The sealing layer is an upper glue layer 100 filled at the upper part of the groove strip, two side walls of the upper glue layer 100 are oppositely and obliquely arranged along the direction from top to bottom, and the bottom of the upper glue layer 100 is abutted against the weighing sensor; the upper adhesive layer 100 and the lower adhesive layer 101 fill the whole groove. Like this, filled whole groove strip through last glue film 100 and glue film 101 down, and wrapped up the weighing sensor between last glue film 100 and glue film 101 down, can protect weighing sensor, and the effect of weighing sensor play the buffering again.
The bottom of the upper adhesive layer 100 is provided with a plurality of metal sheets 105, and the plurality of metal sheets 105 are arranged at intervals along the length direction of the upper adhesive layer 100; two sides of the metal sheet 105 extend to two sidewalls of the upper adhesive layer 100 to form sidewall sections 104 attached to the sidewalls of the upper adhesive layer 100; the bottom of the metal sheet 105 protrudes downward, forming a protrusion 103, the protrusion 103 abutting on the load cell.
Go up the bottom of glue film 100 and be equipped with sheetmetal 105, can play the support restriction effect to last glue film 100, after the vehicle supported to press on last glue film 100, through the deformation of last glue film 100, drive sheetmetal 105 supported and presses weighing sensor, it is more direct to support the pressure effect, and the lateral wall section 104 of sheetmetal 105 both sides is attached on the both sides wall of last glue film 100, can restrict the deformation of last glue film 100, make the more direct transmission of last glue film 100 support and press to sheetmetal 105, and then support and press on weighing sensor.
The metal strip 102 is disposed in the upper adhesive layer 100, the metal strip 102 extends along the length direction of the upper adhesive layer 100, and the bottom of the metal strip 102 is exposed at the bottom of the upper adhesive layer 100 and is respectively fixedly connected to the tops of the plurality of metal sheets 105. Through setting up metal strip 102, and metal strip 102 and a plurality of sheetmetal 105 fixed connection, like this, consolidate whole rubberizing layer 100, a plurality of sheetmetal 105 and metal strip 102 whole as an organic whole, after the vehicle supported to press on partial rubberizing layer 100, through the effect of metal strip 102 and sheetmetal 105, whole rubberizing layer 100 all can link thereupon, like this, can be so that the more accurate weight of measuring the vehicle of weighing sensor.
A suspension rod 302 arranged along the width of the bridge 500 in an extending way is arranged in front of the weighing area, and the suspension rod 302 is positioned above the bridge 500; the suspension rod 302 is provided with horizontal sections 3021 arranged horizontally at two ends, the middle part of the suspension rod 302 is provided with a bending section 3022 bent downwards in an arc shape, and two ends of the bending section 3022 are butted with the horizontal sections 3021; the horizontal segment 3021 and the curved segment 3022 are respectively provided with a camera 301, and the camera 301 faces downwards to the weighing area.
Due to different heights and speeds of vehicles, the suspension rod 302 can arrange the cameras 301 with different heights by arranging the horizontal section 3021 and the bent section 3022, so as to photograph license plates and the like of various angles and types of automobiles.
The induction coil 200 is provided with two induction sides facing the weighing sensor respectively, the middle parts of the induction sides are bent and protruded towards the weighing sensor to form a triangular middle part in a triangular shape, the triangular middle part is provided with a triangular end 2001, and the triangular end 2001 is arranged towards the weighing sensor; the induction side edge is provided with a straight line side edge positioned on the outer side of the middle part of the triangle, and the straight line side edge is arranged in parallel with the weighing sensor.
In this way, the triangular tip 2001 is provided in the induction coil 200, so that it is possible to more easily determine the form and direction of the vehicle and to better sense the speed of the vehicle.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. The bridge abnormal data trend judgment method is characterized in that a displacement sensor is arranged on a bridge, the displacement sensor monitors fluctuation data of the bridge, and the displacement sensor transmits the fluctuation data of the bridge to a background control center through a wireless network; the method comprises the following steps that a weighing area is arranged on a bridge, two weighing sensors are arranged in the weighing area, the two weighing sensors are arranged at intervals along the running direction of a vehicle on the bridge, and the weighing sensors extend along the width direction of the bridge; an induction coil is arranged in the weighing area and is positioned between the two weighing sensors; a camera is arranged in front of the weighing area and used for shooting images of vehicles passing through the weighing area; the weighing sensor, the induction coil and the camera transmit data to the background control center through a wireless network; when the displacement sensor monitors that abnormal fluctuation data exist in the bridge in a certain time period, the background control center judges whether the vehicle passing through the weighing area in the certain time period is overweight.
2. The method for determining the trend of abnormal data of a bridge according to claim 1, wherein when the vehicle passing through the weighing area is overweight during the time period, the background control center calculates whether the difference value between the vehicle fluctuation data and the abnormal fluctuation data of the overweight vehicle causing the bridge fluctuation is within a set range.
3. The method for trend determination of abnormal data of bridge according to claim 1, wherein a visualized three-dimensional model of the bridge is built in the background control center, and the fluctuation data monitored by the displacement sensor is embedded in the three-dimensional model and displayed.
4. The bridge abnormal data trend judgment method according to any one of claims 1 to 3, wherein two channel bars are arranged in the weighing area, the two channel bars are arranged at intervals along the driving direction of a vehicle on the bridge, and the channel bars are arranged in an extending manner along the width direction of the bridge; the weighing sensor is arranged in the groove strip, the groove strip is covered with a sealing layer, and the sealing layer and the weighing area are arranged in parallel and level.
5. The method for determining the trend of abnormal data of a bridge according to claim 4, wherein a lower adhesive layer is filled at the bottom of the groove, two sides of the lower adhesive layer extend upwards to form adhesive side walls, the weighing sensor abuts against the lower adhesive layer, and two sides of the weighing sensor abut against the adhesive side walls.
6. The bridge abnormal data trend judgment method according to claim 5, wherein the capping layer is an upper adhesive layer filled on the upper portion of the groove strip, two side walls of the upper adhesive layer are oppositely and obliquely arranged along the direction from top to bottom, and the bottom of the upper adhesive layer abuts against the weighing sensor; the upper adhesive layer and the lower adhesive layer are filled with the whole groove strip.
7. The bridge abnormal data trend judgment method according to claim 6, wherein a plurality of metal sheets are arranged at the bottom of the upper adhesive layer, and are arranged at intervals along the length direction of the upper adhesive layer; two sides of the metal sheet extend to two side walls of the upper glue layer to form side wall sections attached to the side walls of the upper glue layer; the bottom of the metal sheet protrudes downwards to form a bulge, and the bulge abuts against the weighing sensor.
8. The bridge abnormal data trend judgment method according to claim 7, wherein a metal strip is arranged in the upper adhesive layer, the metal strip extends along the length direction of the upper adhesive layer, and the bottom of the metal strip is exposed at the bottom of the upper adhesive layer and is respectively and fixedly connected with the tops of the plurality of metal sheets.
9. The bridge abnormal data trend judgment method according to any one of claims 1 to 3, wherein a suspension rod arranged in an extending manner along the width of the bridge is arranged in front of the weighing area, and the suspension rod is positioned above the bridge; the suspension rod is provided with horizontal sections which are horizontally arranged at two ends, the middle part of the suspension rod is provided with a bending section which is downwards bent in an arc shape, and two ends of the bending section are butted with the horizontal sections; the horizontal section and the bending section are respectively provided with the cameras, and the cameras are arranged downwards in the weighing area.
10. The bridge abnormal data trend judging method according to any one of claims 1 to 3, wherein the induction coil has two induction sides respectively facing the load cell, the middle part of the induction side is bent and protruded towards the load cell to form a triangular middle part in a triangular shape, the triangular middle part has a triangular end, and the triangular end is arranged towards the load cell; the induction side edge is provided with a straight line side edge positioned on the outer side of the middle part of the triangle, and the straight line side edge is arranged in parallel with the weighing sensor.
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| CN202011589814.5A CN112834252A (en) | 2020-12-28 | 2020-12-28 | Bridge abnormal data trend judgment method |
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