CN114002134B - Bridge stay cable corrosion detection system and method - Google Patents
Bridge stay cable corrosion detection system and method Download PDFInfo
- Publication number
- CN114002134B CN114002134B CN202111282820.0A CN202111282820A CN114002134B CN 114002134 B CN114002134 B CN 114002134B CN 202111282820 A CN202111282820 A CN 202111282820A CN 114002134 B CN114002134 B CN 114002134B
- Authority
- CN
- China
- Prior art keywords
- stay cable
- processor
- corrosion
- humidity
- accumulated
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000005260 corrosion Methods 0.000 title claims abstract description 94
- 230000007797 corrosion Effects 0.000 title claims abstract description 94
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000001514 detection method Methods 0.000 title claims description 34
- 230000007613 environmental effect Effects 0.000 claims abstract description 26
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 claims description 72
- 230000001186 cumulative effect Effects 0.000 claims description 23
- 238000012544 monitoring process Methods 0.000 description 7
- 230000006399 behavior Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 2
- 230000001939 inductive effect Effects 0.000 description 2
- 230000001681 protective effect Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 239000013505 freshwater Substances 0.000 description 1
- 239000004519 grease Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000013535 sea water Substances 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light
Abstract
The invention relates to a system and a method for detecting corrosion of a bridge stay cable, wherein the system for detecting corrosion of the bridge stay cable comprises a processor; the temperature sensor sends the environmental temperature of the stay cable acquired every preset time period to the processor; a humidity sensor which transmits the acquired environmental humidity of the stay cable to the processor; the camera module is used for sending the acquired state image of the stay cable to the processor; a prompting module; the processor determines the corrosion protection state grade of the stay cable according to the state image, and determines the accumulated corrosion time and the accumulated corrosion speed by combining the ambient temperature and the ambient humidity; and when the accumulated corrosion time is greater than or equal to a first reference value or the accumulated corrosion speed is greater than or equal to a second reference value, the processor controls the prompt module to send out early warning. According to the invention, by introducing the accumulated corrosion time and the accumulated corrosion speed, whether the corrosion behavior of the stay cable occurs or not is predicted and early-warned, and a bridge manager can take measures in advance according to the predicted corrosion time.
Description
Technical Field
The invention relates to the field of detection of bridge stay cables, in particular to a system and a method for detecting corrosion of bridge stay cables.
Background
Stay cables are the life line of the bridge as one of the most important load bearing members supporting the cable-stayed bridge.
Cable corrosion is an important component of highway bridge corrosion, has the characteristics of universality, concealment, progression, burst and the like, can be coupled with fatigue, abrasion and other diseases after service, and is often found to be quite serious.
At present, the corrosion detection of the stay cable mainly has two forms, one is to observe the quality of a protective sleeve by manual visual inspection or carrying of camera equipment by a cable robot, and indirectly judge whether the stay cable is corroded; the other is to adopt nondestructive detection methods such as an X-ray detection method, an ultrasonic detection method, an eddy current detection method, a magnetic leakage detection method, a magnetostriction guided wave method, an acoustic emission-ultrasonic detection method and the like, and qualitatively judge the corrosion condition of the cable through a protective sleeve, and the accuracy is difficult to ensure.
Meanwhile, the method can only judge whether corrosion of the stay cable occurs or not, is a post-detection behavior, and cannot predict and monitor the corrosion behavior of the stay cable in advance, and measures are taken in advance. The corrosion environment and the corrosion condition of the stay cable body are continuously monitored, further corrosion conditions are predicted, and meanwhile, the corrosion condition of the stay cable is monitored in real time, and no related report exists at present.
Therefore, there is a need for further improvement in the rust detection of existing stay cables.
The information disclosed in the background section of the invention is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person of ordinary skill in the art.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a bridge stay cable corrosion detection system and a bridge stay cable corrosion detection method, which are used for predicting and early warning whether the corrosion behavior of a stay cable occurs or not by introducing accumulated corrosion time and accumulated corrosion speed, and a bridge manager can take measures in advance according to the predicted corrosion time.
According to a first aspect of the present invention there is provided a bridge stay cable corrosion detection system comprising: a processor; the temperature sensor is arranged inside the stay cable anchor head, acquires the ambient temperature of the stay cable every preset time period, and sends the acquired ambient temperature to the processor; the humidity sensor is arranged inside the stay cable anchor head, acquires the environmental humidity of the stay cable while the temperature sensor acquires the environmental temperature, and sends the acquired environmental humidity to the processor; the camera module is arranged inside the stay cable anchor head, acquires a state image of the stay cable when the temperature sensor acquires the ambient temperature, and sends the acquired state image to the processor; a prompting module; the processor determines the corrosion protection state grade of the stay cable according to the state image, and determines the accumulated corrosion time and the accumulated corrosion speed according to the acquired environment temperature, environment humidity and corrosion protection state grade; and when the accumulated corrosion time is greater than or equal to a first reference value or the accumulated corrosion speed is greater than or equal to a second reference value, the processor controls the prompt module to send out early warning.
Preferably, the camera module continues to acquire the state image of the stay cable after early warning, and sends the acquired state image of the stay cable to the processor, and the processor determines whether the stay cable is corroded according to the state image of the stay cable and controls the prompt module to alarm after determining that the corrosion occurs.
Preferably, the bridge stay cable corrosion detection system further comprises: and a memory electrically connected to the processor and storing the acquired ambient temperature, ambient humidity, status image, rust protection status level, and time to acquire the ambient temperature.
Preferably, the processor determines the cumulative rust time according to equations one and two:
t＝∑t i formula II
Wherein Δt is i For the ith preset time period, T i Is delta t i Ambient temperature, RH in i Is T i Corresponding ambient humidity, F i Is T i Corresponding rust protection state grade, RH 0 And RH (relative humidity) 1 A first humidity threshold and a second humidity threshold of the environment humidity respectively, T 0 A temperature threshold, t, of the ambient temperature i Is delta t i And the corresponding rusting time, t is the accumulated rusting time.
Preferably, the processor determines the cumulative rust speed according to equation three:
wherein t is j For a preset time period delta t j Is a positive integer.
According to a second aspect of the present invention, there is provided a method for detecting corrosion of a bridge stay cable, comprising: acquiring the environmental temperature of the stay cable by using a temperature sensor every preset time period, and sending the acquired environmental temperature to a processor; acquiring the environmental humidity of the stay cable while acquiring the environmental temperature by using a humidity sensor, and transmitting the acquired environmental humidity to the processor; acquiring a state image of the stay cable while acquiring the ambient temperature by using a camera module, and transmitting the acquired state image to the processor; determining a corrosion protection state grade of the stay cable according to the state image by using a processor, and determining accumulated corrosion time and accumulated corrosion speed according to the acquired environment temperature, environment humidity and corrosion protection state grade; and when the accumulated corrosion time is greater than or equal to a first reference value or the accumulated corrosion speed is greater than or equal to a second reference value, the processor is used for controlling the prompt module to send out early warning.
Preferably, the bridge stay cable corrosion detection method further comprises the following steps: continuously acquiring a state image of the stay cable after early warning by using the camera module, and transmitting the acquired state image of the stay cable to the processor; and determining whether the stay cable is corroded or not by the processor according to the state image of the stay cable, and controlling the prompt module to alarm after determining that the corrosion occurs.
Preferably, after the step of using the processor to control the prompt module to send out the early warning or the step of using the controller to control the prompt module to alarm, the bridge stay cable corrosion detection method further comprises the following steps: the acquired ambient temperature, ambient humidity, status images, rust protection status levels, and time to acquire the ambient temperature are stored using a memory.
Preferably, the step of determining the accumulated rusting time and the accumulated rusting speed by the processor according to the acquired environmental temperature, environmental humidity and rusting protection state level specifically comprises: determining, with the processor, a cumulative rust time according to formulas one and two:
t＝∑t i formula II
Wherein Δt is i For the ith preset time period, T i Is delta t i Ambient temperature, RH in i Is T i Corresponding ambient humidity, F i Is T i Corresponding rust protection state grade, RH 0 And RH (relative humidity) 1 A first humidity threshold and a second humidity threshold of the environment humidity respectively, T 0 A temperature threshold, t, of the ambient temperature i Is delta t i And the corresponding rusting time, t is the accumulated rusting time.
Preferably, the step of determining, with the processor, the cumulative rust time and the cumulative rust speed based on the acquired ambient temperature, ambient humidity, and rust protection status level further comprises:
determining, with the processor, a cumulative rust speed according to equation three:
wherein t is j For a preset time period delta t j Is a positive integer.
According to the bridge stay cable corrosion detection system, a concept of accumulated exposure corrosion time is introduced, the actual exposure time t is subjected to weighted correction and accumulation according to different protection states and humiture, whether the corrosion behavior of the stay cable occurs or not is predicted and early-warned through two indexes of the total accumulated time and the accumulated speed, and a bridge manager can take measures in advance according to the predicted corrosion time.
The method and apparatus of the present invention have other features and advantages which will be apparent from or are set forth in detail in the accompanying drawings and the following embodiments, which are incorporated herein, and which together serve to explain the particular principles of the invention.
Drawings
FIG. 1 is a schematic diagram of a bridge stay cable corrosion detection system of the present invention;
FIG. 2 is a schematic flow chart of the method for detecting corrosion of a bridge stay cable.
It should be understood that the drawings are not necessarily to scale, presenting a simplified representation of various features illustrative of the basic principles of the invention. The particular design features disclosed herein (including, for example, particular dimensions, orientations, locations, and shapes) will be determined in part by the particular application and environment in which they are to be used.
In the drawings, like numerals refer to the same or equivalent parts of the invention throughout the several views of the drawings.
Detailed Description
Reference will now be made in detail to various embodiments of the invention, examples of which are illustrated in the accompanying drawings and described below. While the invention will be described in conjunction with the exemplary embodiments, it will be understood that the present description is not intended to limit the invention to these exemplary embodiments. On the contrary, the invention is intended to cover not only these exemplary embodiments, but also various alternatives, modifications, equivalents and other embodiments, which may be included within the spirit and scope of the invention as defined by the appended claims.
The bridge stay cable corrosion detection system and the bridge stay cable corrosion detection method of the invention are described below with reference to the drawings.
As shown in fig. 1, the bridge stay cable corrosion detection system of the present invention includes: processor 100, temperature sensor 200, humidity sensor 300, camera module 400, and hint module 500.
A temperature sensor 200 installed inside the stay cable anchor head, the temperature sensor 200 acquiring an ambient temperature of the stay cable every a preset period of time and transmitting the acquired ambient temperature to the processor 100.
A humidity sensor 300 installed inside the stay cable anchor, the humidity sensor 300 acquiring the ambient humidity of the stay cable while the temperature sensor 200 acquires the ambient temperature, and transmitting the acquired ambient humidity to the processor 100.
And a camera module 400 installed inside the stay cable anchor head, the camera module 400 acquiring a status image of the stay cable while the temperature sensor 200 acquires an ambient temperature, and transmitting the acquired status image to the processor 100.
Wherein the processor 100 determines a rust protection status level of the stay cable according to the status image, and determines an accumulated rust time and an accumulated rust speed according to the acquired ambient temperature, ambient humidity, and rust protection status level.
When the accumulated rusting time is greater than or equal to the first reference value or the accumulated rusting speed is greater than or equal to the second reference value, the processor 100 controls the prompt module 500 to send out early warning.
Specifically, the temperature sensor 200, the humidity sensor 300 and the camera module 400 synchronously collect corresponding information, for example, the collection time period is 3: 00-4: 00, the acquisition time is set to 3:30, the stored information acquisition time points are directly recorded at the time of 3:30. It should be appreciated that the preset time period and specific acquisition time points herein may be adjusted based on actual determinations.
In an exemplary embodiment, the prompt module 500 may be a display for monitoring the machine room, where the display displays a prompt box during early warning, and obviously displays an abnormal indicator, including specific information of the abnormality.
The processor can also synchronously send related personnel through short messages during early warning so as to prompt abnormal indexes.
In an exemplary embodiment, the camera module 400 continues to acquire the status image of the stay cable after the early warning, and sends the acquired status image of the stay cable to the processor 100, and the processor 100 determines whether the stay cable has corroded according to the status image of the stay cable, and controls the prompt module 500 to alarm after determining that corrosion occurs.
In an exemplary embodiment, the bridge stay cable corrosion detection system further comprises:
a memory 600 electrically connected to the processor 100, and storing the acquired ambient temperature, ambient humidity, status image, rust protection status level, and time to acquire the ambient temperature.
The memory 600 stores the status images acquired each time in preparation for invoking a query.
The accumulated rust time is related to three factors of humidity, temperature and rust protection state grade, and the specific relation is as follows:
(1) For humidity, two threshold humidity RH are preset 0 And RH (relative humidity) 1 When the real-time monitoring humidity exceeds RH 1 When the humidity is monitored to be lower than RH in real time, the current humidity environment is indicated to be favorable for inducing the formation of stay cable rust 0 When it is shown that the current environment tends to prevent the stay cable from rusting.
(2) A temperature reference value T is preset for the temperature 0 When the real-time monitoring temperature is higher than T 0 When the stay cable is in use, the activity acceleration of inducing the corrosion of the stay cable is facilitated; when the real-time monitoring temperature is lower than T 0 And when the stay cable is corroded, the moving speed of the stay cable is slowed down.
(3) The protection state of the stay cable can be classified into 1-5 grades according to different grease distribution conditions and the like, and different grades correspond to different accumulated time parameters. The time accumulation parameters are different corresponding to different corrosion protection levels, and are approximately inversely proportional to the 1.5 times of the corrosion protection level. The rust protection state level is monitored and adjusted by image recognition software, and when the protection level changes, the rust protection state level can be manually participated in adjustment and determination. The main reason for adding manual judgment and adjustment is that the condition of rusting protection state level is not common, and the rusting protection state level can occur for months or years generally, and site maintenance workers can be dispatched at this time to manually detect and confirm the rusting protection state level generally, so that more accurate results are obtained, and judgment and adjustment can be more accurate according to the results.
In an exemplary embodiment, after the early warning, the temperature sensor 200 and the humidity sensor 300 continue to operate to collect data, and before the rust protection state level is manually adjusted, the cumulative rust time and the cumulative rust speed are calculated according to the values given by the system, and after the rust protection state level is adjusted, the cumulative rust time and the cumulative rust speed are continuously calculated according to the adjusted parameter values.
In an exemplary embodiment, the processor 100 may determine the cumulative rust time according to equations one and two:
t＝∑t i formula II
Wherein Δt is i For the ith preset time period, T i For a certain period of time delta t i Ambient temperature, RH in i Is T i Corresponding ambient humidity, F i Is T i Corresponding rust protection state grade, t i To correspond to Δt i Is to be determined, i.e. the actual preset time period deltat i Considering the calculated rust time after the influence of the ambient temperature, humidity and protection level, t is the accumulated rust time, RH 0 And RH (relative humidity) 1 A first humidity threshold and a second humidity threshold of the environment humidity respectively, T 0 Is a temperature threshold of ambient temperature.
Taking the data collected once an hour as an example, Δt i Is the actual preset time period of 1 hour, t i Is the corresponding rust time after considering the environmental impact within a preset time period of 1 hour.
The first reference value of the accumulated rust time is mainly determined by the rust environment, and different first reference values are required to be set for seawater or fresh water environments and the like.
The accumulated rust speed is the ratio of the accumulated rust time within the past N preset time periods to the actual time, when v of a certain period i Greater than a second reference value v 0 And sending out early warning. v 0 The value of (2) may be initially set to 3.
For example, N is set to 24, the preset time period is set to 1 hour, and the accumulated rusting speed is the ratio between the accumulated rusting time and the actual time within the past 24 hours.
In an exemplary embodiment, the processor 100 determines the cumulative rust speed according to equation three:
wherein t is j To correspond toSet time period delta t j Is the rust time of N is a positive integer, v i In h/h.
Also taking the preset time period as 1 hour, N as 24 as an example, the three variants of the formula are
If the accumulated rust speed of a certain time node with the time sequence of 96 is calculated, thenI.e. the rust time in the 73-96 time period is accumulated and divided by 24 hours.
The bridge stay cable corrosion detection system is immediately put into use after being installed, long-term monitoring is carried out, and the system can be installed on newly built bridges or bridges which have been used for a period of time.
The temperature sensor 200, the humidity sensor 300 and the camera module 400 of the bridge stay cable corrosion detection system are arranged on the bridge site, and the processor 100, the memory 600 and the prompt module 500 are generally arranged in a monitoring machine room near the bridge, wherein the temperature sensor 200, the humidity sensor 300 and the camera module 400 are directly connected to the monitoring machine room through wires.
The invention also provides a bridge stay cable corrosion detection method which is applied to the bridge stay cable corrosion detection system, as shown in fig. 2, and comprises the following steps:
step S11, acquiring an ambient temperature of the stay cable at every preset time period by using the temperature sensor 200, and transmitting the acquired ambient temperature to the processor 100.
In step S12, the humidity sensor 300 is used to acquire the ambient humidity of the stay cable while the temperature sensor 200 acquires the ambient temperature, and the acquired ambient humidity is transmitted to the processor 100.
In step S13, the image capturing module 400 is used to acquire the state image of the stay cable while the temperature sensor 200 acquires the ambient temperature, and the acquired state image is transmitted to the processor 100.
Step S14, determining, by the processor 100, a corrosion protection status level of the stay cable according to the status image, and determining an accumulated corrosion time and an accumulated corrosion speed according to the acquired environmental temperature, environmental humidity, and corrosion protection status level.
In step S15, it is determined by the processor 100 whether the accumulated rusting time is greater than or equal to a first reference value or whether the accumulated rusting speed is greater than or equal to a second reference value.
If the determination result of step S15 is yes, step S17 is performed, and if the determination result of step S15 is no (i.e., the accumulated rusting time is smaller than the first reference value and the accumulated rusting speed is smaller than the second reference value), step S16 is performed.
Step S16, normal operation. When the accumulated corrosion time is smaller than the first reference value and the accumulated corrosion speed is smaller than the second reference value, the early warning is not needed, and the normal operation is kept continuously.
In step S17, the processor 100 controls the prompt module 500 to send out an early warning.
In an exemplary embodiment, the bridge stay cable corrosion detection method further comprises:
in step S18, the camera module 400 is used to continuously acquire the status image of the stay cable after the early warning, and the acquired status image of the stay cable is sent to the processor 100.
Step S19, determining whether the stay cable has corroded according to the state image of the stay cable by using the processor 100.
If the determination result of step S19 is yes, step S20 is performed, and if the determination result of step S19 is no, step S18 is continuously repeated.
In step S20, the processor 100 controls the prompt module 500 to alarm.
In an exemplary embodiment, after the step S17 of controlling the prompt module 500 to issue an early warning by the processor 100 or the step S20 of controlling the prompt module 500 to alarm by the controller 100, the bridge stay cable corrosion detection method further includes:
the acquired ambient temperature, ambient humidity, status images, rust protection status levels, and time to acquire the ambient temperature are stored using the memory 600.
The memory 600 stores the status images acquired each time in preparation for invoking a query.
In an exemplary embodiment, the step of determining, with the processor, the cumulative rust time and the cumulative rust speed based on the acquired ambient temperature, ambient humidity, and rust protection status level specifically includes:
determining, with the processor, a cumulative rust time according to formulas one and two:
t＝∑t i formula II
Wherein Δt is i For the ith preset time period, T i For a certain period of time delta t i Ambient temperature, RH in i Is T i Corresponding ambient humidity, F i Is T i Corresponding rust protection state grade, t i To correspond to Δt i Is to be determined, i.e. the actual preset time period deltat i Considering the calculated rust time after the influence of the ambient temperature, humidity and protection level, t is the accumulated rust time, RH 0 And RH (relative humidity) 1 A first humidity threshold and a second humidity threshold of the environment humidity respectively, T 0 Is a temperature threshold of ambient temperature.
Taking the data collected once an hour as an example, Δt i Is the actual preset time period of 1 hour, t i Is the corresponding rust time after considering the environmental impact within a preset time period of 1 hour.
In an exemplary embodiment, the step of determining, with the processor, a cumulative rust time and a cumulative rust speed based on the acquired ambient temperature, ambient humidity, and rust protection status level further comprises:
determining, with the processor, a cumulative rust speed according to equation three:
wherein t is j For a preset time period delta t j Is the rust time of N is a positive integer, v i In h/h.
Taking the preset time period as 1 hour and N as 24 as an example, the formula three is modified into
If the accumulated rust speed of a certain time node with the time sequence of 96 is calculated, thenI.e. the rust time in the 73-96 time period is accumulated and divided by 24 hours.
For convenience in explanation and accurate definition in the appended claims, the terms "upper", "lower", "inner", "outer", "upper", "lower", "upwardly", "downwardly", "front", "rear", "back", "inner", "outer", "inwardly", "outwardly", "inner", "outer", "outwardly", "forwardly", "rearwardly" are used to describe features of the exemplary embodiments with reference to the positions of such features as displayed in the figures.
The foregoing description of specific exemplary embodiments of the invention has been presented for the purposes of illustration and description. The foregoing description is not intended to be exhaustive or to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain the specific principles of the invention and its practical application to thereby enable others skilled in the art to make and utilize the invention in various exemplary embodiments and with various alternatives and modifications. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. A bridge stay cable corrosion detection system, comprising:
a processor;
the temperature sensor is arranged inside the stay cable anchor head, acquires the ambient temperature of the stay cable every preset time period, and sends the acquired ambient temperature to the processor;
the humidity sensor is arranged inside the stay cable anchor head, acquires the environmental humidity of the stay cable while the temperature sensor acquires the environmental temperature, and sends the acquired environmental humidity to the processor;
the camera module is arranged inside the stay cable anchor head, acquires a state image of the stay cable when the temperature sensor acquires the ambient temperature, and sends the acquired state image to the processor;
a prompting module;
the processor determines the corrosion protection state grade of the stay cable according to the state image, and determines the accumulated corrosion time and the accumulated corrosion speed according to the acquired environment temperature, environment humidity and corrosion protection state grade;
when the accumulated rust time is greater than or equal to a first reference value or the accumulated rust speed is greater than or equal to a second reference value, the processor controls the prompt module to send out early warning;
the processor determines the accumulated rust time according to the first and second formulas:
t＝Σt i formula II
Wherein Δt is i For the ith preset time period, T i Is delta t i Ambient temperature, RH in i Is T i Corresponding ambient humidity, F i Is T i Corresponding rust protection state grade, RH 0 And RH (relative humidity) 1 A first humidity threshold and a second humidity threshold of the environment humidity respectively, T 0 A temperature threshold, t, of the ambient temperature i Is delta t i Corresponding corrosion time, t is accumulated corrosion time;
the processor determines the cumulative rust speed according to equation three:
wherein t is j For a preset time period delta t j Is a positive integer.
2. The bridge stay cable corrosion detection system according to claim 1, wherein the camera module continues to acquire a status image of the stay cable after early warning, and sends the acquired status image of the stay cable to the processor, and the processor determines whether the stay cable has corroded according to the status image of the stay cable, and controls the prompt module to alarm after determining that corrosion has occurred.
3. The bridge stay cable corrosion detection system of claim 1, further comprising:
and a memory electrically connected to the processor and storing the acquired ambient temperature, ambient humidity, status image, rust protection status level, and time to acquire the ambient temperature.
4. The method for detecting corrosion of the bridge stay cable is characterized by comprising the following steps of:
acquiring the environmental temperature of the stay cable by using a temperature sensor every preset time period, and sending the acquired environmental temperature to a processor;
acquiring the environmental humidity of the stay cable while acquiring the environmental temperature by using a humidity sensor, and transmitting the acquired environmental humidity to the processor;
acquiring a state image of the stay cable while acquiring the ambient temperature by using a camera module, and transmitting the acquired state image to the processor;
determining a corrosion protection state grade of the stay cable according to the state image by using a processor, and determining accumulated corrosion time and accumulated corrosion speed according to the acquired environment temperature, environment humidity and corrosion protection state grade;
when the accumulated rust time is greater than or equal to a first reference value or the accumulated rust speed is greater than or equal to a second reference value, a processor is used for controlling a prompt module to send out early warning;
the step of determining the accumulated rusting time and the accumulated rusting speed by the processor according to the acquired environmental temperature, environmental humidity and rusting protection state level specifically comprises the following steps:
determining, with the processor, a cumulative rust time according to formulas one and two:
t＝Σt i formula II
Wherein Δt is i For the ith preset time period, T i Is delta t i Ambient temperature, RH in i Is T i Corresponding ambient humidity, F i Is T i Corresponding rust protection state grade, RH 0 And RH (relative humidity) 1 A first humidity threshold and a second humidity threshold of the environment humidity respectively, T 0 A temperature threshold, t, of the ambient temperature i Is delta t i Corresponding corrosion time, t is accumulated corrosion time;
the step of determining, with the processor, a cumulative rust time and a cumulative rust speed based on the acquired ambient temperature, ambient humidity, and rust protection status level further comprises:
determining, with the processor, a cumulative rust speed according to equation three:
wherein t is j For a preset time period delta t j Is a positive integer.
5. The bridge stay cable corrosion detection method of claim 4, further comprising:
continuously acquiring a state image of the stay cable after early warning by using the camera module, and transmitting the acquired state image of the stay cable to the processor;
and determining whether the stay cable is corroded or not by the processor according to the state image of the stay cable, and controlling the prompt module to alarm after determining that the corrosion occurs.
6. The method according to claim 5, wherein after the step of giving an early warning by using the processor control prompt module or the step of giving an alarm by using the controller control prompt module, the method further comprises:
the acquired ambient temperature, ambient humidity, status images, rust protection status levels, and time to acquire the ambient temperature are stored using a memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111282820.0A CN114002134B (en) | 2021-11-01 | 2021-11-01 | Bridge stay cable corrosion detection system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111282820.0A CN114002134B (en) | 2021-11-01 | 2021-11-01 | Bridge stay cable corrosion detection system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114002134A CN114002134A (en) | 2022-02-01 |
| CN114002134B true CN114002134B (en) | 2024-01-09 |
Family
ID=79926122
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111282820.0A Active CN114002134B (en) | 2021-11-01 | 2021-11-01 | Bridge stay cable corrosion detection system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114002134B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007039970A (en) * | 2005-08-03 | 2007-02-15 | Ube Machinery Corporation Ltd | Predicting method for rusting level of non-painted atmospheric corrosion-resistant steel bridge |
| CN101059418A (en) * | 2007-05-28 | 2007-10-24 | 重庆交通大学 | Stayed-cable bridge cable erosion state evaluation method |
| CN105548360A (en) * | 2016-01-18 | 2016-05-04 | 北京科技大学 | Stress concentration and ultrasonic guided wave based composite stay cable rusting monitoring method |
| WO2016103445A1 (en) * | 2014-12-26 | 2016-06-30 | 株式会社日立製作所 | Corrosive environment diagnosis system, corrosion prevention system, corrosive environment diagnosis method, and corrosion prevention method |
| CN108225906A (en) * | 2018-01-30 | 2018-06-29 | 哈尔滨工业大学 | The identification of drag-line corrosion monitoring and estimating method for fatigue life based on computer vision |
| CN108763763A (en) * | 2018-05-28 | 2018-11-06 | 东南大学 | A kind of bridge structure strain-responsive abnormity early warning method |
| CN109341758A (en) * | 2018-09-17 | 2019-02-15 | 山东省建筑科学研究院 | A kind of municipal administration Bridge Maintenance Management System |
| AU2019101050A4 (en) * | 2018-09-13 | 2019-10-17 | Chongqing Jiaotong University | Corrosion-fatigue based residual life estimation method and system for cable sling steel wire |
| CN110807562A (en) * | 2020-01-07 | 2020-02-18 | 杭州鲁尔物联科技有限公司 | Regional bridge risk prediction method and system |
| CN111006995A (en) * | 2019-11-30 | 2020-04-14 | 中国科学院金属研究所 | Early warning system of environment corrosion state |
| CN111964720A (en) * | 2020-08-17 | 2020-11-20 | 广州立信电子科技有限公司 | Steel structure bridge safety intelligent monitoring management system based on big data |
| WO2021208539A1 (en) * | 2020-04-17 | 2021-10-21 | 江苏中矿大正表面工程技术有限公司 | Bridge cable corrosion all-weather on-line monitoring system and method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7231318B2 (en) * | 2001-07-12 | 2007-06-12 | Nippon Steel Corporation | Method for predicting degree of corrosion of weather-resistant steel |
-
2021
- 2021-11-01 CN CN202111282820.0A patent/CN114002134B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007039970A (en) * | 2005-08-03 | 2007-02-15 | Ube Machinery Corporation Ltd | Predicting method for rusting level of non-painted atmospheric corrosion-resistant steel bridge |
| CN101059418A (en) * | 2007-05-28 | 2007-10-24 | 重庆交通大学 | Stayed-cable bridge cable erosion state evaluation method |
| WO2016103445A1 (en) * | 2014-12-26 | 2016-06-30 | 株式会社日立製作所 | Corrosive environment diagnosis system, corrosion prevention system, corrosive environment diagnosis method, and corrosion prevention method |
| CN105548360A (en) * | 2016-01-18 | 2016-05-04 | 北京科技大学 | Stress concentration and ultrasonic guided wave based composite stay cable rusting monitoring method |
| CN108225906A (en) * | 2018-01-30 | 2018-06-29 | 哈尔滨工业大学 | The identification of drag-line corrosion monitoring and estimating method for fatigue life based on computer vision |
| CN108763763A (en) * | 2018-05-28 | 2018-11-06 | 东南大学 | A kind of bridge structure strain-responsive abnormity early warning method |
| AU2019101050A4 (en) * | 2018-09-13 | 2019-10-17 | Chongqing Jiaotong University | Corrosion-fatigue based residual life estimation method and system for cable sling steel wire |
| CN109341758A (en) * | 2018-09-17 | 2019-02-15 | 山东省建筑科学研究院 | A kind of municipal administration Bridge Maintenance Management System |
| CN111006995A (en) * | 2019-11-30 | 2020-04-14 | 中国科学院金属研究所 | Early warning system of environment corrosion state |
| CN110807562A (en) * | 2020-01-07 | 2020-02-18 | 杭州鲁尔物联科技有限公司 | Regional bridge risk prediction method and system |
| WO2021208539A1 (en) * | 2020-04-17 | 2021-10-21 | 江苏中矿大正表面工程技术有限公司 | Bridge cable corrosion all-weather on-line monitoring system and method |
| CN111964720A (en) * | 2020-08-17 | 2020-11-20 | 广州立信电子科技有限公司 | Steel structure bridge safety intelligent monitoring management system based on big data |
Non-Patent Citations (4)
| Title |
|---|
| Influence of soil humidity on the thermal impedance, time constant and structure function of underground cables: A laboratory experiment;Panagiotis Chatzipanagiotou 等;《Applied Thermal Engineering》;第113卷;全文 * |
| 台风作用下超大跨度斜拉桥抖振响应现场实测研究;王浩 等;《土木工程学报》;第43卷(第7期);全文 * |
| 拉索腐蚀及在役结构检测评估方法研究;杨姝姮;《中国优秀硕士学位论文全文数据库(工程科技Ⅱ辑)》(2018年第6期);全文 * |
| 桥梁健康监测海量数据分析与评估――"结构健康监测"研究进展;李爱群 等;中国科学:技术科学(第8期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114002134A (en) | 2022-02-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20140278150A1 (en) | Utility pole condition sensors | |
| CN111862083B (en) | Visual-electromagnetic detection-based steel wire rope state comprehensive monitoring system and method | |
| US6694286B2 (en) | Method and system for monitoring the condition of an individual machine | |
| JP2011516365A (en) | Remote observation analysis for elevator equipment | |
| CN1628067A (en) | Method and arrangement for telemonitoring an elevator | |
| JP4969886B2 (en) | Building diagnostic system | |
| JPWO2007116884A1 (en) | Wire rope remote monitoring system | |
| CN111929091A (en) | Equipment abnormality detection method and device, readable storage medium and electronic equipment | |
| CN114002134B (en) | Bridge stay cable corrosion detection system and method | |
| CN115343568A (en) | Abnormity identification device, method, equipment and storage medium for cable inspection | |
| CN114674562A (en) | Rail transit tapered roller bearing service life prediction method considering service life monitoring conditions | |
| CN111912907B (en) | Intelligent inhaul cable system for evaluating corrosion broken wire and analysis method thereof | |
| WO2020195536A1 (en) | Structural anomaly assessment method and anomaly assessment system | |
| CN107272530A (en) | A kind of construction site long-distance monitoring method and system based on Internet of Things | |
| CN115548976B (en) | Power supply system and reliability monitoring method and device thereof | |
| CN115985052A (en) | Geological disaster early warning method, system, computer and readable storage medium | |
| CN116595657A (en) | Engine quality prediction system | |
| JPH0755868A (en) | Diagnostic system for apparatus/installation | |
| KR102268276B1 (en) | Sensor node and system for monitoring the safety status of facilities | |
| JPH1144200A (en) | Road tunnel comprehensively monitoring control device | |
| CN114842624A (en) | High-voltage cable tunnel state sensing system and method | |
| CN109818351B (en) | Meteorological power data comprehensive management method and system | |
| CN108366226B (en) | Prison management control method, device and system and readable storage medium | |
| CN110940448A (en) | Anchor rod axial force alarm device | |
| CN111665067A (en) | Rail vehicle air conditioner state monitoring system and monitoring method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CB03 | Change of inventor or designer information |
Inventor after: Yang Wanli Inventor after: Wang Hao Inventor after: Tian Yuan Inventor after: Li Bo Inventor after: Bian Li Inventor after: Huo Faming Inventor after: Xie Xia Inventor after: Hu Shaokai Inventor after: Kong Dexiang Inventor after: Shi Lei Inventor after: Zhao Jinping Inventor before: Yang Wanli Inventor before: Wang Hao Inventor before: Bian Li Inventor before: Shi Lei Inventor before: Hu Shaokai Inventor before: Kong Dexiang Inventor before: Tian Yuan Inventor before: Zhao Jinping |
|
| CB03 | Change of inventor or designer information | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240307 Address after: Courtyard 5, Jinmayuan 1st Street, Shunyi District, Beijing 101300 Patentee after: CATS TESTING TECHNOLOGY (BEIJING) CO.,LTD. Country or region after: China Patentee after: CATS Highway Engineering Technology (Beijing) Co.,Ltd. Patentee after: JIAOKEYUAN SCIENCE AND TECHNOLOGY GROUP CO.,LTD. Patentee after: Xinyang Transportation Comprehensive Administrative Law Enforcement Detachment Patentee after: Xi County Highway Development Center Address before: No. 48, Middle North Third Ring Road, Haidian District, Beijing 100086 Patentee before: CATS Highway Engineering Technology (Beijing) Co.,Ltd. Country or region before: China |
|
| TR01 | Transfer of patent right |