CN112834252B - Bridge abnormal data trend judging method - Google Patents
Bridge abnormal data trend judging method Download PDFInfo
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- CN112834252B CN112834252B CN202011589814.5A CN202011589814A CN112834252B CN 112834252 B CN112834252 B CN 112834252B CN 202011589814 A CN202011589814 A CN 202011589814A CN 112834252 B CN112834252 B CN 112834252B
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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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
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- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Electromagnetism (AREA)
- Geophysics (AREA)
- Computer Graphics (AREA)
- Theoretical Computer Science (AREA)
- Bridges Or Land Bridges (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention relates to the technical field of safety monitoring, and discloses a bridge abnormal data trend judging method, wherein a displacement sensor is arranged on a bridge, and the displacement sensor monitors fluctuation data of the bridge; the bridge is provided with a weighing area, 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 an image of the vehicle passing through the weighing area; the weighing sensor, the induction coil and the camera transmit data to a background control center through a wireless network; when the displacement sensor monitors that abnormal fluctuation data exists in the bridge in a certain period, the background control center judges whether the vehicle passing through the weighing area in the period is overweight or not, further judges the causing factors of the fluctuation data, and can judge the trend of the abnormal data of the bridge.
Description
Technical Field
The invention relates to the technical field of safety monitoring, in particular to a bridge abnormal data trend judging method.
Background
The bridge is a building constructed for crossing natural or artificial obstacles, and is erected on rivers, lakes and seas to enable vehicles, pedestrians and the like to pass smoothly. The bridge is generally composed of an upper structure, a lower structure and an accessory 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 structure is bridge end butt strap, cone slope protection, bank protection, diversion engineering, etc. The bridge is divided into four basic systems according to structural systems, namely a girder bridge, an arch bridge, a rigid bridge and a suspension cable bearing (suspension bridge and cable-stayed bridge).
At present, the bridge is used as a common traffic building for vehicle driving and transportation, the traffic volume is very large, and overweight phenomenon is often caused for some large-scale transportation vehicles, so that a great potential safety hazard exists for the bridge.
In the prior art, in order to maintain safety, safety monitoring is often carried out on a bridge, particularly, the bridge is influenced by wind power or other environmental factors to generate fluctuation data, so that the effect of monitoring the safety of the bridge can be achieved, but the bridge is easy to wave due to vibration caused by the pressure of the bridge caused by overload of a vehicle, so that a supervisor is difficult to judge whether the fluctuation data of the bridge are caused by the overload of the vehicle or caused by the bridge, and trend judgment is difficult to be carried out on the abnormal data of the bridge.
Disclosure of Invention
The invention aims to provide a method for judging the trend of abnormal data of a bridge, and aims to solve the problem that in the prior art, supervision staff cannot judge the trend of abnormal data of the bridge.
The bridge abnormal data trend judging method is realized by arranging a displacement sensor on the bridge, wherein 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 bridge is provided with a weighing area, two weighing sensors are arranged in the weighing area, the two weighing sensors are arranged at intervals along the running direction of the vehicle on the bridge, and the weighing sensors are arranged in an extending mode 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 the camera shoots an image of a vehicle passing through the weighing area; the weighing sensor, the induction coil and the camera transmit data to a background control center through a wireless network; when the displacement sensor monitors that the bridge has abnormal fluctuation data in a certain period of time, the background control center judges whether the vehicle passing through the weighing area in the period of time is overweight or not.
Further, when the vehicle passing through the weighing area is overweight in the period, the background control center calculates whether the difference value between the vehicle fluctuation data of the overweight vehicle causing bridge fluctuation and the abnormal fluctuation data is within a set range.
Further, a visual three-dimensional model of the bridge is built in the background control center, and fluctuation data monitored by the displacement sensor are embedded in the three-dimensional model and displayed.
Further, two groove strips are arranged in the weighing area, are arranged at intervals along the running direction of the 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 cover layer, and the sealing cover layer is arranged flush with the weighing area.
Further, the bottom of the groove strip is filled with a lower adhesive layer, two sides of the lower adhesive layer extend upwards to form adhesive side walls, the weighing sensor is abutted to the lower adhesive layer, and two sides of the weighing sensor are abutted to the adhesive side walls.
Further, 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 on the weighing sensor; the upper adhesive layer and the lower adhesive layer are filled with the whole groove strip.
Further, a plurality of metal sheets are arranged at the bottom of the upper adhesive layer, and the metal sheets 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 adhesive layer to form side wall sections attached to the side walls of the upper adhesive layer; the bottom of the metal sheet protrudes downwards to form a bulge, and the bulge is abutted on the weighing sensor.
Further, a metal strip is arranged in the upper adhesive layer, the metal strip extends and is arranged 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 fixedly connected with the tops of the metal sheets respectively.
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 two ends of the suspension rod are provided with horizontal sections which are horizontally arranged, the middle part of the suspension rod is provided with a bent section which is bent downwards in an arc shape, and the two ends of the bent section are in butt joint with the horizontal sections; the horizontal section and the bending section are respectively provided with the cameras, and the cameras are downwards arranged in the weighing area.
Further, the induction coil is provided with two induction side edges which face the weighing sensor respectively, the middle parts of the induction side edges are bent and protruded towards the weighing sensor to form a triangular middle part which is triangular, the triangular middle part is provided with a triangular end head, and the triangular end head faces the weighing sensor; the sensing side is provided with a linear side edge positioned outside the middle of the triangle, and the linear side edge is arranged in parallel with the weighing sensor.
Compared with the prior art, according to the bridge abnormal data trend judging method, when the background control center monitors that the fluctuation data of the bridge is abnormal in a certain period through the displacement sensor, the abnormal data trend of the bridge can be judged by judging whether the vehicles passing through the bridge are overweight or not in the period so as to judge the causing factors of the fluctuation data.
Drawings
FIG. 1 is a schematic front view of a bridge abnormal data trend judging device provided by the invention;
FIG. 2 is a schematic front view of the interior of the mounting slot provided by the present invention;
fig. 3 is a schematic front view of a suspension rod according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The implementation of the present invention will be described in detail below 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 azimuth or positional relationship indicated by terms such as "upper", "lower", "left", "right", etc., based on the azimuth 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 indicated or implied that the apparatus or element referred to must have a specific azimuth, be constructed and operated in a specific azimuth, and thus terms describing the positional relationship in the drawings are merely illustrative and should not be construed as limitations of the present patent, and specific meanings of the terms described above may be understood by those skilled in the art according to specific circumstances.
Referring to fig. 1-3, a preferred embodiment of the present invention is provided.
According to the bridge abnormal data trend judging method, a displacement sensor is arranged on a bridge 500, the displacement sensor monitors fluctuation data of the bridge 500, and the displacement sensor transmits the fluctuation data of the bridge 500 to a background control center through a wireless network, so that the fluctuation data of the bridge 500 can be directly monitored through the displacement sensor.
The bridge 500 is provided with a weighing area, two weighing sensors are arranged in the weighing area, the two weighing sensors are arranged at intervals along the running direction of the vehicle on the bridge 500, and the weighing sensors are arranged in an extending manner 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 two weighing sensors; the weight of the vehicle passing through the bridge 500 can be monitored by the load cell to determine whether the vehicle is overweight, and in addition, by providing the induction coil 200, when the vehicle passes over the induction coil 200, the metal chassis of the vehicle and the induction coil 200 are mutually induced, so that the running direction of the vehicle and the like can be determined.
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 a background control center through a wireless network; when the displacement sensor monitors that the bridge 500 has abnormal fluctuation data in a certain period, the background control center judges whether the vehicle passing through the weighing area in the period is overweight or not.
According to the bridge abnormal data trend judging method, when the background control center monitors that the fluctuation data of the bridge 500 in a certain period is abnormal through the displacement sensor, the abnormal data trend of the bridge 500 can be judged by judging whether the vehicles passing through the bridge 500 are overweight or not in the period, and then judging the causing factors of the fluctuation data.
When the vehicle passing through the weighing area is overweight in the period, the background control center calculates whether the difference value between the vehicle fluctuation data and the abnormal fluctuation data of the bridge 500 caused by the overweight vehicle is within a set range.
Thus, when the difference value is not within the set range, the possible fluctuation data abnormality is caused by other reasons, and only when the difference value is within the set range, the fluctuation data abnormality is considered to be caused by the overload of the vehicle, so that the accurate judgment of the abnormal data of the bridge 500 is ensured.
And a visual three-dimensional model of the bridge 500 is built 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 running 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 cover layer, and the sealing cover layer is arranged flush with the weighing area. When the vehicle passes over the load cell, the load cell is pressed downwards, so that the weight of the vehicle is weighed according to the pressure data.
The bottom of the groove strip is filled with a lower adhesive layer 101, two sides of the lower adhesive layer 101 extend upwards to form adhesive side walls, the weighing sensor is abutted on the lower adhesive layer 101, and two sides of the weighing sensor are abutted on the adhesive side walls. The weighing sensor plays a role in supporting and protecting through the lower adhesive layer 101 and the adhesive side wall, and when the weighing sensor receives extrusion, the movement of the weighing sensor can be buffered, so that the damage of the weighing sensor is avoided. In addition, the side walls of the glue are formed on two sides of the weighing sensor, and form surrounding abutting protection of the weighing sensor with the lower glue layer 101.
The sealing layer is an upper adhesive layer 100 filled at the upper part of the groove strip, two side walls of the upper adhesive layer 100 are oppositely and obliquely arranged along the direction from top to bottom, and the bottom of the upper adhesive layer 100 is abutted on the weighing sensor; the upper glue layer 100 and the lower glue layer 101 fill the entire groove strip. Like this, filled whole groove strip through last glue film 100 and lower glue film 101, and wrap up weighing sensor between last glue film 100 and lower glue film 101, can protect weighing sensor, and the effect that the symmetry weight sensor played the buffering.
The bottom of the upper adhesive layer 100 is provided with a plurality of metal sheets 105, and the 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 side walls of the upper adhesive layer 100 to form side wall sections 104 attached to the side walls of the upper adhesive layer 100; the bottom of the metal sheet 105 protrudes downwards to form a protrusion 103, and the protrusion 103 abuts against the load cell.
The bottom of rubberizing layer 100 is equipped with sheetmetal 105, can play the support restriction effect to rubberizing layer 100, and after the vehicle supported and pressed on rubberizing layer 100, through the deformation of rubberizing layer 100, drive sheetmetal 105 supported and pressed 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 rubberizing layer 100, can restrict the deformation of rubberizing layer 100 for rubberizing layer 100 more direct transmission supports and presses to sheetmetal 105, and then supports and press on weighing sensor.
The upper glue layer 100 is internally provided with a metal strip 102, the metal strip 102 is arranged along the length direction of the upper glue layer 100 in an extending way, and the bottom of the metal strip 102 is exposed at the bottom of the upper glue layer 100 and is fixedly connected with the tops of the metal sheets 105 respectively. Through setting up metal bar 102, and metal bar 102 and a plurality of sheetmetal 105 fixed connection, like this, wholly concreting whole rubberizing layer 100, a plurality of sheetmetals 105 and metal bar 102 as an organic whole, after the vehicle supports and presses on the rubberizing layer 100 of part, through the effect of metal bar 102 and sheetmetal 105, whole rubberizing layer 100 all can link thereupon, like this, can make weighing sensor more accurate measurement vehicle's weight.
A suspension rod 302 extending along the width of the bridge 500 is arranged in front of the weighing area, and the suspension rod 302 is positioned above the bridge 500; the two ends of the suspension rod 302 are provided with horizontal sections 3021 which are horizontally arranged, the middle part of the suspension rod 302 is provided with a bent section 3022 which is bent downwards in an arc shape, and the two ends of the bent section 3022 are in butt joint with the horizontal sections 3021; cameras 301 are respectively arranged on the horizontal section 3021 and the bending section 3022, and the cameras 301 are arranged downwards in the weighing area.
Because the height and speed of each vehicle are different, the suspension rod 302 can be provided with the horizontal section 3021 and the bending section 3022, so that cameras 301 with different heights can be arranged to shoot license plates of each angle and each type of automobile, and the like.
The induction coil 200 is provided with two induction side edges which face the weighing sensor respectively, the middle parts of the induction side edges are bent and protruded towards the weighing sensor to form a triangular middle part which is triangular, the triangular middle part is provided with a triangular end 2001, and the triangular end 2001 is arranged towards the weighing sensor; the sensing side is provided with a linear side edge positioned at the outer side of the middle part of the triangle, and the linear side edge is arranged in parallel with the weighing sensor.
By providing the triangular end 2001 in this way, the induction coil 200 can more conveniently determine the vehicle form direction, and can more favorably sense the vehicle speed, and the like.
The foregoing description of the preferred embodiment of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (6)
1. The bridge abnormal data trend judging 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 bridge is provided with a weighing area, two weighing sensors are arranged in the weighing area, the two weighing sensors are arranged at intervals along the running direction of the vehicle on the bridge, and the weighing sensors are arranged in an extending mode 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 the camera shoots an image of a vehicle passing through the weighing area; the weighing sensor, the induction coil and the camera transmit data to a background control center through a wireless network; when the displacement sensor monitors that the bridge has abnormal fluctuation data in a certain period of time, the background control center judges whether a vehicle passing through a weighing area in the period of time is overweight or not;
Two groove strips are arranged in the weighing area, are arranged at intervals along the running direction of the 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 cover layer, and the sealing cover layer is arranged in parallel with the weighing area;
the bottom of the groove strip is filled with a lower adhesive layer, two sides of the lower adhesive layer extend upwards to form adhesive side walls, the weighing sensor is abutted on the lower adhesive layer, and two sides of the weighing sensor are abutted on the adhesive side walls;
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 on the weighing sensor; the upper adhesive layer and the lower adhesive layer are filled with the whole groove strip;
The bottom of the upper adhesive layer is provided with a plurality of metal sheets which 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 adhesive layer to form side wall sections attached to the side walls of the upper adhesive layer; the bottom of the metal sheet protrudes downwards to form a bulge, and the bulge is abutted on the weighing sensor.
2. The bridge abnormal data trend judging method according to claim 1, wherein the background control center calculates whether a difference between vehicle fluctuation data of the bridge fluctuation caused by the overweight vehicle and abnormal fluctuation data is within a set range when the vehicle passing through the weighing zone is overweight in the period.
3. The method for judging abnormal data trend of a bridge according to claim 1, wherein a visual three-dimensional model of the bridge is built in the background control center, and fluctuation data monitored by the displacement sensor is embedded in the three-dimensional model and displayed.
4. The method for judging abnormal data trend of a bridge according to any one of claims 1 to 3, wherein a metal strip is arranged in the upper glue layer, the metal strip extends along the length direction of the upper glue layer, and the bottom of the metal strip is exposed at the bottom of the upper glue layer and is fixedly connected with the tops of the metal sheets respectively.
5. A bridge abnormal data trend judging method according to any one of claims 1 to 3, wherein a suspension rod extending along the width of the bridge is arranged in front of the weighing area, and the suspension rod is located above the bridge; the two ends of the suspension rod are provided with horizontal sections which are horizontally arranged, the middle part of the suspension rod is provided with a bent section which is bent downwards in an arc shape, and the two ends of the bent section are in butt joint with the horizontal sections; the horizontal section and the bending section are respectively provided with the cameras, and the cameras are downwards arranged in the weighing area.
6. A 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 weighing sensor, 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, and the triangular end is arranged towards the weighing sensor; the sensing side is provided with a linear side edge positioned outside the middle of the triangle, and the linear side edge is arranged in parallel with the weighing sensor.
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| CN202011589814.5A CN112834252B (en) | 2020-12-28 | 2020-12-28 | Bridge abnormal data trend judging method |
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| CN202011589814.5A CN112834252B (en) | 2020-12-28 | 2020-12-28 | Bridge abnormal data trend judging method |
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| CN112834252A CN112834252A (en) | 2021-05-25 |
| CN112834252B true CN112834252B (en) | 2024-05-03 |
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| CN112710491B (en) * | 2020-12-28 | 2025-02-18 | 深圳市天健工程技术有限公司 | Bridge abnormal data trend judgment device |
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| CN112834252A (en) | 2021-05-25 |
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