CN111638000A - Real-time health monitoring method for stay cable of cable-stayed bridge - Google Patents
Real-time health monitoring method for stay cable of cable-stayed bridge Download PDFInfo
- Publication number
- CN111638000A CN111638000A CN202010515522.0A CN202010515522A CN111638000A CN 111638000 A CN111638000 A CN 111638000A CN 202010515522 A CN202010515522 A CN 202010515522A CN 111638000 A CN111638000 A CN 111638000A
- Authority
- CN
- China
- Prior art keywords
- cable
- real
- value
- cable force
- time
- 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.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000002159 abnormal effect Effects 0.000 claims abstract description 16
- 238000011144 upstream manufacturing Methods 0.000 claims description 10
- 238000011156 evaluation Methods 0.000 claims description 8
- 238000000691 measurement method Methods 0.000 claims description 5
- 229910000831 Steel Inorganic materials 0.000 claims description 4
- 239000010959 steel Substances 0.000 claims description 4
- 238000013461 design Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 description 6
- 238000001514 detection method Methods 0.000 description 5
- 238000005259 measurement Methods 0.000 description 2
- 238000004873 anchoring Methods 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000013598 vector Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/04—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring tension in flexible members, e.g. ropes, cables, wires, threads, belts or bands
- G01L5/042—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring tension in flexible members, e.g. ropes, cables, wires, threads, belts or bands by measuring vibrational characteristics of the flexible member
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Bridges Or Land Bridges (AREA)
Abstract
The invention relates to the technical field of cable-stayed bridge cable monitoring, in particular to a cable-stayed bridge cable real-time health monitoring method, which comprises the following steps: acquiring a cable force value of a cable; calculating an average cable force value in a certain period; calculating a safety threshold of the cable force value; calculating the minimum limit value and the maximum limit value of the cable force value; and judging the situation of the real-time cable force value according to the safety threshold value, the minimum limit value and the maximum limit value, wherein: when the real-time cable force value is within the range of the safety threshold value, judging the real-time cable force value to be in a normal condition; when the real-time cable force value is within the range of the safety threshold value, judging the real-time cable force value to be in an abnormal condition; when the real-time cable force value is smaller than or equal to the minimum limit value or larger than or equal to the maximum limit value, judging as a dangerous situation; and counting the occurrence frequency of abnormal situations and dangerous situations, and judging the health condition of the inhaul cable according to the counting condition. According to the method, the judgment on the health condition of the stay cable of the cable-stayed bridge is realized by acquiring the cable force of the stay cable in real time and formulating a specific judgment standard, the judgment result is more objective, and the referential property is stronger.
Description
Technical Field
The invention relates to the technical field of cable-stayed bridge cable monitoring, in particular to a cable-stayed bridge cable real-time health monitoring method.
Background
The stay cable is the main bearing structure of the cable-stayed bridge, and transmits the dead load and live load of most main beams to the cable tower in a self-tension mode. Along with the increase of service period and the rapid increase of traffic flow, the working performance of the stay cable is gradually degraded, the safe operation of the cable-stayed bridge is seriously influenced, and along with the increasing of traffic flow, the stay cable is in a heavy-load traffic operation state for a long time, so that the service period is greatly discounted. And therefore the importance of health monitoring for cable-stayed bridges is increasing.
In the prior art, the detection of the guy cable mostly adopts a manual detection method, for example, the damage of a sheath, the appearance of a steel wire, the water seepage condition of an anchoring area or the appearance of an anchor head is monitored, then various monitoring results are scored, and finally comprehensive judgment is carried out by combining the current standard and the years of accumulated experience of experts.
However, the above judgment results inevitably have subjective factors, on one hand, the judgment strength of monitoring personnel is not unique, and on the other hand, experts often compare the importance degrees of various indexes according to experience accumulated for many years, so that the final judgment result is not strong in referential performance, the occurrence of a stay cable disease is finally caused, and a light person generates abnormal vibration, and a heavy person breaks down the stay cable to cause huge loss.
In view of the above problems, the designer actively makes research and innovation based on the practical experience and professional knowledge that the product engineering is applied for many years, and cooperates with the application of the theory, so as to create a cable-stayed bridge cable real-time health monitoring method, which is more practical.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method for monitoring the real-time health of the stay cable of the cable-stayed bridge is provided, and the health detection of the stay cable of the cable-stayed bridge is realized.
In order to achieve the purpose, the invention adopts the technical scheme that: a cable-stayed bridge cable real-time health monitoring method comprises the following steps:
acquiring a cable force value of a cable;
calculating an average cable force value in a certain period;
calculating a safety threshold of the cable force value;
calculating the minimum limit value and the maximum limit value of the cable force value;
and judging the situation of the real-time cable force value according to the safety threshold value, the minimum limit value and the maximum limit value, wherein:
when the real-time cable force value is within the range of the safety threshold value, judging the real-time cable force value to be in a normal condition;
when the real-time cable force value is out of the range of the safety threshold value and is greater than the minimum limit value or less than the maximum limit value, judging the condition as an abnormal condition;
when the real-time cable force value is smaller than or equal to the minimum limit value or larger than or equal to the maximum limit value, judging as a dangerous situation; and
and counting the occurrence frequency of the abnormal situations and the dangerous situations, and judging the health condition of the inhaul cable according to the counting condition.
Further, the method for acquiring the cable force value of the inhaul cable is a dynamic measurement method.
Further, the safety threshold is calculated by the following formula:wherein,means, sigma, of cable force monitoring data representing last two yearsλIndicating the standard deviation of the corresponding data.
Further, a measure of a minimum limit value of said cable force valueThe calculation formula is as follows: f. ofmin=max{0.4fmax,0.6f0}; the calculation formula of the maximum limit value of the cable force value is as follows: f. ofmax=fsAi2.5; wherein f is0To form a bridge cable force, fsDesign strength for the stay wire, AiIs the cross-sectional area of the steel wire of the inhaul cable.
Further, the health condition of the inhaul cable is judged according to the following conditions:
when the number of times of occurrence of the annual abnormal situation is less than or equal to 3 times, the situation is judged to be good;
when the annual abnormal situation occurrence frequency is more than 3 times and/or the dangerous situation occurrence frequency is less than or equal to 3 times, determining that the situation is poor;
and when the number of times of occurrence of the annual dangerous situation is more than 3, judging the situation to be serious.
Further, the method further comprises a suitability evaluation step, wherein the suitability evaluation step comprises the following steps:
acquiring a fluctuation trend graph of the upstream stay cable force and a fluctuation trend graph of the downstream stay cable force;
and judging whether the inhaul cable is in a normal working state or not by comparing the similarity of the inhaul cable and the inhaul cable.
Further, the Canberra distance is used to describe the similarity of the cable force fluctuation trend graphs on the upstream and downstream sides.
Further, the result of the Canberra distance calculation is d; when d is 0.04 or less, it is judged as good; when d is greater than 0.04 and equal to or less than 0.06, determining to be poor; when d is greater than 0.06, it is judged to be serious.
The invention has the beneficial effects that: according to the method, the cable force of the cable-stayed bridge is acquired in real time, specific judgment conditions and judgment standards are set according to the existing technical condition evaluation standards of the highway bridge, the judgment on the health condition of the cable-stayed bridge can be realized without manual subjective judgment, the judgment result is more objective, and the referability is stronger.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a cable-stayed bridge cable real-time health monitoring method in the embodiment of the invention;
FIG. 2 is a schematic view illustrating the judgment of the cable health of a cable-stayed bridge according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The cable-stayed bridge cable real-time health monitoring method shown in fig. 1 comprises the following steps:
s10: acquiring a cable force value of a cable;
s20: calculating an average cable force value in a certain period; it should be noted that the average cable force value is the cable force monitoring average value of a single cable in two years.
S30: calculating a safety threshold of the cable force value;
s40: calculating the minimum limit value and the maximum limit value of the cable force value; it is noted here that the safety threshold is within the range defined by the minimum and maximum limits.
S50: the situation to which the real-time cable force value belongs is determined according to the safety threshold value and the minimum limit value and the maximum limit value, as shown in fig. 2, wherein:
s51: when the real-time cable force value is within the range of the safety threshold value, judging the real-time cable force value to be in a normal condition;
s52: when the real-time cable force value is out of the range of the safety threshold value and is greater than the minimum limit value or less than the maximum limit value, judging the condition as an abnormal condition;
s53: when the real-time cable force value is smaller than or equal to the minimum limit value or larger than or equal to the maximum limit value, judging as a dangerous situation; and
s60: and counting the occurrence frequency of the abnormal situations and the dangerous situations, and judging the health condition of the inhaul cable according to the counting condition.
In the embodiment, the cable force is acquired in real time, the specific judgment condition and the judgment standard are set according to the existing technical condition evaluation standard of the highway bridge, the judgment on the health condition of the cable-stayed bridge cable can be realized without artificial subjective judgment, the judgment result is more objective, and the referability is stronger.
Specifically, the method for acquiring the cable force value of the cable is a dynamic measurement method.
The cable force is measured by a dynamic measurement method, namely the cable force is converted by accurately measuring the vibration frequency of the inhaul cable and utilizing the functional relation between the cable force and the vibration frequency. The dynamic measurement method usually uses the environment to excite the cable body, and after the first several orders of natural vibration frequency of the cable is measured, the magnitude of the internal force can be calculated. The basic principle is as follows:
when the boundary conditions at the two ends of the cable member can be simplified to hinge support, the cable force is
Wherein:
axial force to which T-cable member is subjected
mass per unit length of m-cable member
Bending stiffness of EI-cable member
fnThe nth order vibration frequency (unit: Hz) of the cable member
n-order of vibration
Length of L-cable member
When the member is regarded as a cable member, namely the slenderness ratio is large enough, the second term of the above formula can be ignored, and the formula can be simplified as follows:
it should be pointed out here that, when actual measurement, can use the cable power dynamic measurement appearance to measure, can obtain the real-time data value of cable power of cable, through the real-time acquisition of cable power value, can accurately master the cable and be in normal, unusual or dangerous condition, simultaneously, count the number of times that every cable is unusual or dangerous condition appears to be convenient for later maintenance.
Specifically, in this embodiment, regarding the calculation of the safety threshold of the cable force, the calculation formula is as follows:wherein,means, sigma, of cable force monitoring data representing last two yearsλIndicating the standard deviation of the corresponding data. It is to be noted here that the standard deviation is the arithmetic square root of the variance. The standard deviation can reflect the degree of dispersion of a data set. In particular, the method comprises the following steps of,in order to monitor the cable force value of a certain cable of the system, n is the data quantity of the cable force value monitored by the cable within two years. In the embodiment, compared with manual detection in the prior art, the manual detection procedure is simplified by calculating the safe threshold value of the cable force through the formula, and the conclusion can be drawn only by judging whether the cable force value is in the safe threshold value range, so that time and labor are saved.
Further, the minimum limit value of the cable force value is calculated by the formula: f. ofmin=max{0.4fmax,0.6f0}; the maximum limit value of the cable force value is calculated by the formula: f. ofmax=fsAi2.5; wherein f is0To form a bridge cable force, fsDesign strength for the stay wire, AiIs the cross-sectional area of the steel wire of the inhaul cable. And similarly, calculating a cable force limit value to obtain a minimum limit value and a maximum limit value of the cable force, and judging whether the real-time value of the cable force is in the range of the maximum/minimum limit value to obtain whether the cable is in an abnormal state or a dangerous state.
In step S60, the judgment criteria for the state of health of the cable are:
when the number of times of occurrence of the annual abnormal situation is less than or equal to 3 times, the situation is judged to be good;
when the annual abnormal situation occurrence frequency is more than 3 times and/or the dangerous situation occurrence frequency is less than or equal to 3 times, determining that the situation is poor; when the judgement is relatively poor, need send the maintenance personal to carry out the pertinence and overhaul to improve the life of cable.
And when the number of times of occurrence of the annual dangerous situation is more than 3, judging the situation to be serious. When a serious condition is determined, maintenance personnel need to be dispatched to immediately perform maintenance and even replacement.
In the embodiment of the present invention, the method further includes an applicability evaluation step, and the applicability evaluation step includes:
acquiring a fluctuation trend graph of the upstream stay cable force and a fluctuation trend graph of the downstream stay cable force;
and judging whether the inhaul cable is in a normal working state or not by comparing the similarity of the inhaul cable and the inhaul cable.
In the above embodiment, the Canberra distance is used to describe the similarity of the cable force fluctuation trend graphs on the upstream and downstream sides. Specifically, the upstream and downstream cable force vectors are { U }i}、{Vi}, then the Canberra distance is expressed as:
in the above formula, m is the number of the upstream cable force monitoring samples (the upstream and downstream cable force monitoring data amount is equal), d is greater than or equal to 0 and less than or equal to 1, and the closer d is to 0, the more consistent the upstream and downstream cable force changes.
When the judgment is actually carried out, the calculation result of the Canberra distance is d; when d is 0.04 or less, it is judged as good; when d is greater than 0.04 and equal to or less than 0.06, determining to be poor; when d is greater than 0.06, it is judged to be serious. And dispatching maintenance personnel to carry out related overhaul and maintenance according to the judgment result.
It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. A cable-stayed bridge cable real-time health monitoring method is characterized by comprising the following steps:
acquiring a cable force value of a cable;
calculating an average cable force value in a certain period;
calculating a safety threshold of the cable force value;
calculating the minimum limit value and the maximum limit value of the cable force value;
and judging the situation of the real-time cable force value according to the safety threshold value, the minimum limit value and the maximum limit value, wherein:
when the real-time cable force value is within the range of the safety threshold value, judging the real-time cable force value to be in a normal condition;
when the real-time cable force value is out of the range of the safety threshold value and is greater than the minimum limit value or less than the maximum limit value, judging the condition as an abnormal condition;
when the real-time cable force value is smaller than or equal to the minimum limit value or larger than or equal to the maximum limit value, judging as a dangerous situation; and
and counting the occurrence frequency of the abnormal situations and the dangerous situations, and judging the health condition of the inhaul cable according to the counting condition.
2. The cable-stayed bridge cable real-time health monitoring method according to claim 1, characterized in that the cable force value of the cable is obtained by a dynamic measurement method.
4. The cable-stayed bridge cable real-time health monitoring method according to claim 1, characterized in that the calculation formula of the minimum limit value of the cable force value is as follows: f. ofmin=max{0.4fmax,0.6f0}; the calculation formula of the maximum limit value of the cable force value is as follows: f. ofmax=fsAi2.5; wherein f is0To form a bridge cable force, fsDesign strength for the stay wire, AiIs the cross-sectional area of the steel wire of the inhaul cable.
5. The cable-stayed bridge cable real-time health monitoring method according to claim 1, characterized in that the judgment basis of the cable health condition is as follows:
when the number of times of occurrence of the annual abnormal situation is less than or equal to 3 times, the situation is judged to be good;
when the annual abnormal situation occurrence frequency is more than 3 times and/or the dangerous situation occurrence frequency is less than or equal to 3 times, determining that the situation is poor;
and when the number of times of occurrence of the annual dangerous situation is more than 3, judging the situation to be serious.
6. The cable-stayed bridge cable real-time health monitoring method according to claim 1, characterized by further comprising a suitability evaluation step, wherein the suitability evaluation step comprises:
acquiring a fluctuation trend graph of the upstream stay cable force and a fluctuation trend graph of the downstream stay cable force;
and judging whether the inhaul cable is in a normal working state or not by comparing the similarity of the inhaul cable and the inhaul cable.
7. The cable-stayed bridge cable real-time health monitoring method according to claim 6, characterized in that a Canberra distance is adopted to describe the similarity of cable force fluctuation tendency maps at the upstream and downstream sides.
8. The cable-stayed bridge cable real-time health monitoring method according to claim 7, wherein the Canberra distance calculation result is d; when d is 0.04 or less, it is judged as good; when d is greater than 0.04 and equal to or less than 0.06, determining to be poor; when d is greater than 0.06, it is judged to be serious.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010515522.0A CN111638000B (en) | 2020-06-09 | 2020-06-09 | Real-time health monitoring method for stay cable of cable-stayed bridge |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010515522.0A CN111638000B (en) | 2020-06-09 | 2020-06-09 | Real-time health monitoring method for stay cable of cable-stayed bridge |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111638000A true CN111638000A (en) | 2020-09-08 |
CN111638000B CN111638000B (en) | 2021-01-26 |
Family
ID=72331403
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010515522.0A Active CN111638000B (en) | 2020-06-09 | 2020-06-09 | Real-time health monitoring method for stay cable of cable-stayed bridge |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111638000B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112201017A (en) * | 2020-10-19 | 2021-01-08 | 成都泰测科技有限公司 | Bridge suspension cable safety monitoring method, device, equipment and medium |
CN113312834A (en) * | 2021-04-19 | 2021-08-27 | 桂林理工大学 | Method for picking up abnormal cable force of stayed cable based on convolutional neural network |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07133851A (en) * | 1993-11-11 | 1995-05-23 | Jatco Corp | Suspension amount monitoring device of wrapping connecting mechanism |
CN101201282A (en) * | 2007-12-20 | 2008-06-18 | 宁波大学 | Fundamental frequency identification method for detecting cord force of cable-stayed bridge |
CN104199410A (en) * | 2014-08-27 | 2014-12-10 | 重庆大学 | Bridge-structure universal acquisition control system for health monitoring |
CN105629136A (en) * | 2015-12-28 | 2016-06-01 | 国网甘肃省电力公司金昌供电公司 | Cable insulation state online automatic monitoring and diagnosis system |
CN109559025A (en) * | 2018-11-15 | 2019-04-02 | 安徽省交通控股集团有限公司 | A kind of bridge detecting/monitoring integrated health condition evaluation system and its application method |
-
2020
- 2020-06-09 CN CN202010515522.0A patent/CN111638000B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07133851A (en) * | 1993-11-11 | 1995-05-23 | Jatco Corp | Suspension amount monitoring device of wrapping connecting mechanism |
CN101201282A (en) * | 2007-12-20 | 2008-06-18 | 宁波大学 | Fundamental frequency identification method for detecting cord force of cable-stayed bridge |
CN104199410A (en) * | 2014-08-27 | 2014-12-10 | 重庆大学 | Bridge-structure universal acquisition control system for health monitoring |
CN105629136A (en) * | 2015-12-28 | 2016-06-01 | 国网甘肃省电力公司金昌供电公司 | Cable insulation state online automatic monitoring and diagnosis system |
CN109559025A (en) * | 2018-11-15 | 2019-04-02 | 安徽省交通控股集团有限公司 | A kind of bridge detecting/monitoring integrated health condition evaluation system and its application method |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112201017A (en) * | 2020-10-19 | 2021-01-08 | 成都泰测科技有限公司 | Bridge suspension cable safety monitoring method, device, equipment and medium |
CN113312834A (en) * | 2021-04-19 | 2021-08-27 | 桂林理工大学 | Method for picking up abnormal cable force of stayed cable based on convolutional neural network |
CN113312834B (en) * | 2021-04-19 | 2022-04-26 | 桂林理工大学 | Method for picking up abnormal cable force of stayed cable based on convolutional neural network |
Also Published As
Publication number | Publication date |
---|---|
CN111638000B (en) | 2021-01-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111638000B (en) | Real-time health monitoring method for stay cable of cable-stayed bridge | |
CN108846197B (en) | Bridge girder erection machine girder damage identification and damage degree quantitative analysis method | |
CN107727338B (en) | A kind of bridge damnification diagnostic method based on Vehicle-Bridge Coupling System | |
CN102565194B (en) | Method for carrying out early warning on damage to steel box girder of long span bridge in operation state | |
CN109559025A (en) | A kind of bridge detecting/monitoring integrated health condition evaluation system and its application method | |
CN102829898B (en) | Internal force detecting method for hanger rod with shock absorber | |
CN114896872B (en) | Comprehensive evaluation method for icing state of high-voltage transmission line | |
CN118246134B (en) | Double-tower cable-stayed bridge life cycle safety control system based on machine learning | |
CN110222384A (en) | A kind of Analysis of Bridge Cracks method, apparatus and storage medium | |
CN115062979A (en) | Metal roof performance evaluation method and system based on hierarchical analysis and fuzzy evaluation | |
CN116721530A (en) | Safety early warning analysis system suitable for track bridge structure construction monitoring | |
CN112729415A (en) | Building structure health monitoring system | |
CN113077145B (en) | Multi-dimensional meteorological environment chatter shedding risk assessment method for high-speed rail-crossing power transmission line | |
CN117828371A (en) | Intelligent analysis method for business information of comprehensive operation and maintenance platform | |
CN110657882B (en) | Bridge real-time safety state monitoring method utilizing single-measuring-point response | |
CN111639466A (en) | Cable-stayed bridge cable service life evaluation method based on monitoring data | |
CN109711075B (en) | Steel girder bridge life and reliability analysis method based on sudden load nonlinear theory | |
CN112683324B (en) | Intelligent bolt-based real-time monitoring system for Internet of things of electric power iron tower | |
CN108563824B (en) | Method and system for determining least adverse working condition of power transmission tower in unconventional wind field | |
CN114970273A (en) | Transmission tower strain time sequence prediction and instability early warning method based on ARIMA-LSTM combined model | |
CN113591355B (en) | Bridge inhaul cable steel wire corrosion degree intelligent automatic measuring platform based on big data | |
CN113673010B (en) | Method and system for evaluating steel box girder based on monitoring data | |
CN115977892A (en) | Method and device for evaluating fatigue life of blade and blade | |
CN113379288B (en) | Optical fiber composite overhead ground wire ice resistance risk assessment method and system | |
CN107036751A (en) | The flexible strand cable force computational methods that peak recognizes vibration frequency are searched by weighting broadband |
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 |