CN115759348A - Method and system for analyzing inclination trend of tower - Google Patents
Method and system for analyzing inclination trend of tower Download PDFInfo
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- CN115759348A CN115759348A CN202211302786.3A CN202211302786A CN115759348A CN 115759348 A CN115759348 A CN 115759348A CN 202211302786 A CN202211302786 A CN 202211302786A CN 115759348 A CN115759348 A CN 115759348A
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Abstract
The invention belongs to the field of electric power, and particularly relates to a tower inclination trend analysis method and system, wherein the method comprises the following steps: obtaining historical inclination data of a tower; and based on the historical records, taking the structure type, the environmental parameters and the remedial measures of the tower as input, taking the inclination data as output, and establishing a prediction model. By acquiring historical inclination data of the tower, the current and future can be analyzed by means of the historical data, so that the prediction capability of a certain degree is realized; based on the historical records, the structure type, the environmental parameters and the remedial measures of the tower are used as input, the inclination data is used as output, a prediction model is established, and the prediction process can be quantified in a mathematical mode; the inclination trend data of the target tower is obtained through analysis of the prediction model, the structural change trend of the target tower can be obtained, and monitoring of the bearing capacity of the tower is improved.
Description
Technical Field
The invention belongs to the field of electric power, and particularly relates to a method and a system for analyzing a tower inclination trend.
Background
The power system is an important industrial system for maintaining social operation, and comprises three links of power production, power transmission and power use, and whether the links are operated normally or not directly influences the stability of the society, so that reasonable monitoring measures need to be taken to ensure the normal operation of the power system.
The tower is a support used for supporting the transmission line in the overhead transmission line, is mostly made of steel or reinforced concrete, and is a main supporting structure of the overhead transmission line. And the load-bearing function of the composite material depends on a specific structure, and if the structure is abnormal, the load-bearing capacity of the composite material is changed, so that the composite material is a potential threat. The tower needs to be connected with an electric power production link and an electric power use link, so that the distribution range is wide, and the tower often spans provinces and cities. Therefore, lines and towers related to the power transmission link often need to be installed in places without human smoke, and the places are away from the human smoke and inconvenient to carry out detailed inspection, so that the working state of the power transmission link is generally analyzed by measuring the inclination condition. In order to ensure the safety and stability of the power transmission link, the tower in the power transmission link needs to be monitored.
Disclosure of Invention
In order to solve or improve the problems, the invention provides a tower inclination trend analysis method and a tower inclination trend analysis system, and the specific technical scheme is as follows:
the invention provides a tower inclination trend analysis method, which comprises the following steps: obtaining historical inclination data of a tower; based on the historical records, taking the structure type, the environmental parameters and the remedial measures of the tower as input, taking the inclination data as output, and establishing a prediction model; and analyzing through the prediction model to obtain the inclination trend data of the target tower.
Preferably, the predictive model establishes a regression equation between the structure type, the environmental parameter, the remedial action, and the tilt data based on regression analysis; correspondingly, the analyzing of the prediction model to obtain the inclination trend data of the target tower comprises the following steps: and outputting the inclination trend data by combining the regression equation based on the structure type, the environmental parameters and the remedial measures of the target tower.
Preferably, the history record comprises: determining a case having the structure type, the environmental parameter, and the tilt trend data based on the history; or, based on the history, determining a case having the structure type, the environmental parameter, the remedial action, and the tilt trend data; setting data screening conditions to exclude specific cases from the historical records.
Preferably, the setting of the data filtering condition to exclude a specific case from the history includes: excluding the case that meets the corresponding limit according to at least one of a structural type limit, an environmental parameter limit, a remedial action limit, and a tilt data limit.
Preferably, the structure type limitation is determined according to the structure type of the target tower; determining the environmental parameter limit according to the structure type and the environment of the target tower; determining the remedial measure limitation according to the structure type and/or the environment of the target tower; and determining the inclination data limit according to a preset threshold value.
The invention provides a tower inclination trend analysis system, which comprises: the first unit is used for acquiring historical inclination data of a tower; the second unit is used for establishing a prediction model by taking the structure type, the environmental parameters and the remedial measures of the tower as input and the inclination data as output based on the historical records; and the third unit is used for obtaining the inclination trend data of the target tower through the analysis of the prediction model.
Preferably, the predictive model establishes a regression equation between the structure type, the environmental parameter, the remedial action, and the tilt data based on regression analysis; correspondingly, the analyzing of the prediction model to obtain the inclination trend data of the target tower comprises the following steps: and outputting the inclination trend data by combining the regression equation based on the structure type, the environmental parameters and the remedial measures of the target tower.
Preferably, the history record comprises: determining a case having the structure type, the environmental parameter, and the tilt trend data based on the history; or, based on the history, determining a case having the structure type, the environmental parameter, the remedial action, and the tilt trend data; setting data screening conditions to exclude specific cases from the historical records.
Preferably, the setting of the data filtering condition to exclude a specific case from the history includes: excluding the case that meets the corresponding limit according to at least one of a structural type limit, an environmental parameter limit, a remedial action limit, and a tilt data limit.
Preferably, the structure type limitation is determined according to the structure type of the target tower; determining the environmental parameter limit according to the structure type and the environment of the target tower; determining the remedial measure limit according to the structure type and/or the environment of the target tower; determining the tilt data limit according to a preset threshold.
The invention has the beneficial effects that: by acquiring historical inclination data of the tower, the current and future can be analyzed by means of the historical data, so that the prediction capability of a certain degree is realized; based on the historical records, the structure type, the environmental parameters and the remedial measures of the tower are used as input, the inclination data is used as output, a prediction model is established, and the prediction process can be quantified in a mathematical mode; the inclination trend data of the target tower is obtained through analysis of the prediction model, the structural change trend of the target tower can be obtained, and monitoring of the bearing capacity of the tower is improved.
Drawings
Fig. 1 is a schematic view of a tower inclination trend analysis method according to the present invention;
fig. 2 is a schematic diagram of a tower inclination trend analysis system according to the present invention.
Description of the main reference numbers:
1-first unit, 2-second unit, 3-third unit.
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 some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
In order to solve or improve the problems mentioned above, the present invention provides a tower inclination trend analysis method as shown in fig. 1, including: s1, obtaining historical inclination data of a tower; s2, based on the historical records, taking the structure type, the environmental parameters and the remedial measures of the tower as input, taking the inclination data as output, and establishing a prediction model; and S3, analyzing through the prediction model to obtain the inclination trend data of the target tower.
The pole tower is a support for supporting a transmission line in an overhead transmission line, is mostly made of steel or reinforced concrete, and is a main supporting structure of the overhead transmission line. Sometimes, the tower is built on rugged places, such as hills and mountains, which are inconvenient for manual operation, so that it is not easy to check each part/structure of the tower by manual means to verify the bearing capacity, and the efficiency is low. In addition, a tower is built at a certain distance from each other, and the cost for carefully inspecting each tower is too high.
Large power systems may be provided with a large number of towers, and each tower may be installed in a different environment. The tower is aged or accidents occur along with the change of time, so that the tower is inclined, and the inclination can include the change of the structural angle of the main body or part of the structure of the tower. The historical inclination data is data obtained by measuring/observing and recording the change of the structure angle of the main body or part of the structure of a single tower. Under the condition that no large-scale power system exists, historical inclination data can be obtained through building a simulation tower in a laboratory and in an environment simulation mode.
Setting a data processing model, wherein the specific model type is not limited, and the function of the data processing model is to describe the principle of the tower inclination result caused by specific conditions; specifically, the structure type, the environmental parameters and the remedial measures of the tower are used as input, the inclination data is used as output, and the corresponding data processing model is used as a prediction model. The structure type is used to describe the engineering structure/building structure of the tower, and the tower can comprise different engineering structures/building structures. The environmental parameters are used for the environment of the construction site/working site of the tower, such as specific numerical values of temperature, humidity, illumination and the like corresponding to the working site, and may also be geographical forms of mountaintops, valleys, plains and the like corresponding to the construction site. Remedial measures are used to describe maintenance measures that are performed on tilted towers/other malfunctioning towers, such as reinforcing a structural component, replacing a structural component, and pruning a structural component. The inclination data is data of angle change between the specific engineering structure and the original state caused by the change of the specific engineering structure.
The method comprises the steps of obtaining the structure type, the environmental parameters and the remedial measures of a target tower, and outputting inclination trend data of the target tower through a prediction model, wherein the inclination trend data comprises what inclination results are generated after what time is probably.
The predictive model building a regression equation between the structure type, the environmental parameter, the remedial action, and the tilt data based on regression analysis; correspondingly, the obtaining of the inclination trend data of the target tower through the predictive model analysis comprises the following steps: and outputting the inclination trend data by combining the regression equation based on the structure type, the environmental parameters and the remedial measures of the target tower.
The regression analysis method is an analysis method which utilizes a data statistics principle to perform mathematical processing on a large amount of statistical data, determines the correlation between a dependent variable and some independent variables, establishes a regression equation/function expression with good correlation and is used for predicting the change of the dependent variable in the future.
The history record comprises: determining a case having the structure type, the environmental parameter, and the tilt trend data based on the history; or, based on the history, determining a case having the structure type, the environmental parameter, the remedial action, and the tilt trend data; setting data screening conditions to exclude specific cases from the historical records.
The tower is used as a ring of standardized industrial products, and the construction specification and the working environment of the tower have greater similarity. The state of the tower will affect the safety of the power system, so the staff of the power system hope to be able to accurately grasp the state. In order to improve the accuracy of the prediction model, the historical data can be screened, so that the prediction model is more specific to the target tower. Specifically, the case satisfying the structure type, the environmental parameter, and the inclination tendency data is taken as the data set for training the prediction model. The case is a data set aiming at a single tower, and the content of the data set comprises the structure type, the environmental parameters and the inclination records of the tower. The principle of the screening is that according to the attributes (mainly the structure type and the environmental parameters, because the target tower generally has no problem or has small problems, the inclined data can be added), the data set with higher matching degree is selected to train and obtain the prediction model for the target tower.
The setting of data filtering conditions to exclude specific instances from the history record includes: excluding the instances that meet the corresponding restrictions according to at least one of a structural type restriction, an environmental parameter restriction, a remedial action restriction, and a tilt data restriction.
Determining the structural type limitation according to the structural type of the target tower; determining the environmental parameter limit according to the structure type and the environment of the target tower; determining the remedial measure limit according to the structure type and/or the environment of the target tower; and determining the inclination data limit according to a preset threshold value.
In reality, the tower is an industrial product which is designed/tested, so the largest factor determining the bearing capacity of the tower is the structure type, and the firmness degrees of different structure types are different. The structure type limitation may be used to limit the towers to adopt the same type of structure or similar structures.
The installation environment may vary from tower to tower, but the installation environment/working environment of adjacent towers may be very close. In the big aspect, all the towers belong to towers in the south; from the middle aspect, the towers all belong to the same topographic tower; in small aspects, the towers all belong to the same temperature zone, humidity zone, illumination environment and the like. Since the largest factor determining the load-bearing capacity of a tower is the structure type, it is generally the structure type + environmental parameters that cause the tower to tilt.
Remedial action limitations can be numerous, as not all remedial actions are broadly applicable to all towers, and need to be selected based on the particular type of structure and environment. For example, some tower structures are not suitable for being repaired in a reinforcing mode, and some tower structures are not suitable for being replaced; or some reinforcement methods require specific reinforcement materials, which are not suitable for high temperature and high humidity environments.
The inclination data is data for visually representing the structural state of the tower and is a key index for determining whether the tower is normal or not in many cases; thus, if the degree of tilt is greater than a preset threshold, it is indicated that the tower is already abnormal, and the record of the damaged tower does not need to be used as a training set, since the purpose of the method is prevention, so the important data is the data when the degree of tilt is less than the preset threshold.
Through specific limitation, cases can be reasonably screened, and the prediction capability of the prediction model on a specific target tower is improved.
The invention provides a tower inclination trend analysis system, which comprises: the first unit 1 is used for acquiring historical inclination data of a tower; the second unit 2 is used for establishing a prediction model by taking the structure type, the environmental parameters and the remedial measures of the tower as input and the inclination data as output based on the historical records; and the third unit 3 is used for obtaining the inclination trend data of the target tower through the analysis of the prediction model.
The predictive model establishes a regression equation between the structure type, the environmental parameter, the remedial action, and the tilt data based on a regression analysis; correspondingly, the obtaining of the inclination trend data of the target tower through the predictive model analysis comprises the following steps: and outputting the inclination trend data by combining the regression equation based on the structure type, the environmental parameters and the remedial measures of the target tower.
The history record comprises: determining a case with the structure type, the environmental parameters, and the tilt trend data based on the history; or, based on the history, determining a case with the structure type, the environmental parameter, the remedial action, and the tilt trend data; setting data screening conditions to exclude specific cases from the historical records.
The setting of data filtering conditions to exclude specific instances from the history record includes: excluding the instances that meet the corresponding restrictions according to at least one of a structural type restriction, an environmental parameter restriction, a remedial action restriction, and a tilt data restriction.
Determining the structural type limitation according to the structural type of the target tower; determining the environmental parameter limit according to the structure type and the environment of the target tower; determining the remedial measure limit according to the structure type and/or the environment of the target tower; and determining the inclination data limit according to a preset threshold value.
Those of ordinary skill in the art will appreciate that the elements of the examples described in connection with the embodiments disclosed in this specification can be implemented as electronic hardware, computer software, or combinations of both, and that the components of the examples have been described above generally in terms of their functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present application, it should be understood that the division of a unit is only one logical function division, and in actual implementation, there may be another division manner, for example, multiple units may be combined into one unit, one unit may be split into multiple units, or some features may be omitted.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being covered by the appended claims and their equivalents.
Claims (10)
1. A pole tower inclination trend analysis method is characterized by comprising the following steps:
obtaining historical inclination data of a tower;
based on the historical records, taking the structure type, the environmental parameters and the remedial measures of the tower as input, taking the inclination data as output, and establishing a prediction model;
and analyzing through the prediction model to obtain the inclination trend data of the target tower.
2. The tower inclination trend analysis method according to claim 1, wherein the prediction model establishes a regression equation between the structure type, the environmental parameters, the remedial measures and the inclination data based on regression analysis;
correspondingly, the analyzing of the prediction model to obtain the inclination trend data of the target tower comprises the following steps:
and outputting the inclination trend data by combining the regression equation based on the structure type, the environmental parameters and the remedial measures of the target tower.
3. The tower inclination trend analysis method according to claim 2, wherein the step of analyzing the tower inclination trend based on the historical records comprises the steps of:
determining a case having the structure type, the environmental parameter, and the tilt trend data based on the history;
or, based on the history, determining a case with the structure type, the environmental parameter, the remedial action, and the tilt trend data;
setting data screening conditions to exclude specific cases from the historical records.
4. The tower inclination trend analysis method according to claim 3, wherein the setting of data filtering conditions to exclude specific cases from the history comprises:
excluding the case that meets the corresponding limit according to at least one of a structural type limit, an environmental parameter limit, a remedial action limit, and a tilt data limit.
5. The pole tower inclination trend analysis method according to claim 4, wherein the structure type limit is determined according to the structure type of the target pole tower;
determining the environmental parameter limit according to the structure type and the environment of the target tower;
determining the remedial measure limitation according to the structure type and/or the environment of the target tower;
and determining the inclination data limit according to a preset threshold value.
6. A tower inclination trend analysis system is characterized by comprising:
the first unit is used for acquiring historical inclination data of a tower;
the second unit is used for establishing a prediction model by taking the structure type, the environmental parameters and the remedial measures of the tower as input and the inclination data as output based on the historical records;
and the third unit is used for obtaining the inclination trend data of the target tower through the analysis of the prediction model.
7. The tower tilt trend analysis system of claim 6, wherein the predictive model establishes a regression equation between the structure type, the environmental parameter, the remedial measure, and the tilt data based on regression analysis;
correspondingly, the analyzing of the prediction model to obtain the inclination trend data of the target tower comprises the following steps:
and outputting the inclination trend data by combining the regression equation based on the structure type, the environmental parameters and the remedial measures of the target tower.
8. The tower tilt trend analysis system of claim 7, wherein the historical record-based analysis comprises:
determining a case with the structure type, the environmental parameters, and the tilt trend data based on the history;
or, based on the history, determining a case with the structure type, the environmental parameter, the remedial action, and the tilt trend data;
setting data screening conditions to exclude specific cases from the history records.
9. The tower tilt trend analysis system of claim 8, wherein the setting of data filtering conditions to exclude specific instances from the history comprises:
excluding the case that meets the corresponding limit according to at least one of a structural type limit, an environmental parameter limit, a remedial action limit, and a tilt data limit.
10. The tower inclination trend analysis system of claim 9, wherein the structure type limit is determined according to a structure type of the target tower;
determining the environmental parameter limit according to the structure type and the environment of the target tower;
determining the remedial measure limitation according to the structure type and/or the environment of the target tower;
and determining the inclination data limit according to a preset threshold value.
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| CN202211302786.3A CN115759348A (en) | 2022-10-24 | 2022-10-24 | Method and system for analyzing inclination trend of tower |
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| CN202211302786.3A CN115759348A (en) | 2022-10-24 | 2022-10-24 | Method and system for analyzing inclination trend of tower |
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| CN115759348A true CN115759348A (en) | 2023-03-07 |
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| CN202211302786.3A Pending CN115759348A (en) | 2022-10-24 | 2022-10-24 | Method and system for analyzing inclination trend of tower |
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- 2022-10-24 CN CN202211302786.3A patent/CN115759348A/en active Pending
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