Distribution line pole inclination big data monitoring system and method based on intelligent sensor

Abstract

The invention discloses a distribution line electric pole inclination big data monitoring system and method based on an intelligent sensor, and belongs to the technical field of electric pole inclination monitoring. A wind power influence model is constructed, wind power borne by an electric pole is introduced into the wind power influence model to evaluate the influence of the wind power on electric pole inclination, and a foundation bearing model is constructed; importing the soil water content and the foundation settlement displacement value into a foundation bearing model to evaluate the influence of the foundation condition on the inclination of the electric pole, constructing a wire tension influence model, importing the wire tension data into the wire tension influence model to evaluate the influence of the wire tension on the inclination of the electric pole, constructing an inclination angle evaluation model, and evaluating the inclination angle of the electric pole at the future moment. According to the method, a building damage risk assessment model is constructed, the pulling force and the wind force borne by the electric pole are guided into the building damage risk assessment model to assess the falling speed of the electric pole, the building damage condition is assessed in combination with the building impact resistance, and the intelligent level and the risk prevention and control capacity of distribution line electric pole inclination monitoring are improved.

Description

Technical Field

[0001] The present application belongs to the technical field of electric pole tilt monitoring, and more specifically, is a big data monitoring system and method for electric pole tilt of distribution lines based on intelligent sensors. Background Art

[0002] During the operation of distribution lines, poles may tilt and collapse due to external force damage, foundation settlement, wind and snow disasters, etc., which may lead to serious consequences such as line tripping, power outages, equipment damage or casualties. Traditional manual inspection methods have problems such as long cycles, slow response, and high omission rates. In addition, they are unable to assess the direction and speed of collapse after tilting, as well as the potential scope and level of impact on surrounding buildings, roads or facilities. Although some existing online monitoring systems can sense the tilt of poles, it is difficult to dynamically evaluate the situation and predict the impact, making it difficult to take early warning or protective measures in a timely manner.

[0003] This application uses sensors to achieve dynamic collaborative perception of the pole posture, stress state and external disturbances, and by establishing a state evolution equation based on a physical model, comprehensively considering the gravity torque, wind torque, wire tension torque and foundation bearing, constructs a pole tilt trend prediction model. At the same time, combined with the relationship between the pole tipping direction, terminal speed and the distribution of surrounding buildings, an impact area assessment and risk level judgment mechanism is established to achieve early warning and quantitative graded management of potential pole tipping accidents, thereby improving the intelligence level and risk prevention and control capabilities of distribution line pole tilt monitoring. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, this application proposes a distribution line pole tilt big data monitoring system and method based on intelligent sensors.

[0005] To achieve the above objectives, this application provides the following technical solutions:

[0006] The distribution line pole tilt big data monitoring system and method based on intelligent sensors includes the following specific steps:

[0007] Obtain pole posture data and pole surrounding environment data;

[0008] Construct a wind impact model and import the wind force acting on the pole into the wind impact model to evaluate the impact of wind force on the inclination of the pole;

[0009] Construct a foundation bearing model and import soil moisture content and foundation settlement displacement values ​​into the foundation bearing model to evaluate the impact of foundation conditions on pole tilt;

[0010] Construct a wire tension influence model, import wire tension and tension angle into the wire tension influence model to evaluate the influence of wire tension on pole toppling;

[0011] Construct a tilt angle assessment model and import the factors affecting the tilt of the pole into the tilt angle assessment model to estimate the tilt angle of the pole at future moments;

[0012] A building damage risk assessment model is constructed, and the tension and wind force acting on the poles are introduced into the building damage risk assessment model to evaluate the pole falling speed, and the building damage is evaluated in combination with the building's impact resistance.

[0013] Preferably, the step of acquiring the pole posture data and the pole surrounding environment data comprises the following specific steps:

[0014] S11. Obtaining geographic location information of the pole, obtaining pole attitude data through sensors, obtaining the inclination angle, direction, and foundation condition of the pole in three-dimensional space, obtaining foundation settlement displacement data through a ground settlement sensor, obtaining pole attitude data through a three-axis gyroscope and a three-axis accelerometer, including the pole inclination angle, inclination direction, vibration acceleration inclination angle, settlement condition, and displacement state, and obtaining the inclination angle of the pole relative to the vertical direction through a tilt sensor;

[0015] S12. Acquire environmental parameter information through environmental sensors, acquire wind speed and direction data through mechanical wind speed and direction sensors, and acquire the moisture content of the soil around the pole through soil moisture sensors.

[0016] Preferably, the step of constructing a wind impact model and introducing the wind force acting on the pole into the wind impact model to evaluate the impact of the wind force on the inclination of the pole comprises the following specific steps:

[0017] S21. Substitute the wind direction angle and the pole tilt angle into the calculation formula for the effective component of wind force in the pole tilt direction to evaluate the effect of wind force on the pole tilt. The calculation formula for the effective component of wind force in the pole tilt direction is: ,in, is the air density, is the drag coefficient of the pole, is the windward area, is the wind speed, is the angle between the wind direction and the tilt direction of the pole, is the projection of wind force on the tilt direction of the pole, where the angle between wind direction and the tilt direction of the pole is calculated as: ,in, is the wind direction angle, is the inclination angle of the pole relative to the vertical direction;

[0018] S22. Substitute the effective component of wind force in the tilt direction of the pole and the pole's own overturning force into the calculation formula for the pole's wind tilt moment to evaluate the pole's tilt moment under the combined action of the pole's deadweight and wind force. The calculation formula for the pole's wind tilt moment is: ,in, is the pole's deadweight overturning force, H is the pole's height, and the calculation formula for the pole's deadweight overturning force is: ,in, is the weight of the pole itself.

[0019] Preferably, the step of constructing a foundation bearing model and importing soil moisture content and foundation settlement displacement values ​​into the foundation bearing model to evaluate the influence of foundation conditions on the inclination of the electric pole comprises the following specific steps:

[0020] S31. Substitute the soil moisture content into the foundation bearing capacity calculation formula to calculate the foundation bearing condition, wherein the foundation bearing capacity calculation formula is: ,in, is the reference load modulus in dry state, is the moisture content of the soil around the pole foundation, is the soil softening coefficient caused by water infiltration, which indicates the decrease in bearing capacity due to unit water content change;

[0021] S32. Substitute the foundation bearing capacity into the foundation moment calculation formula to calculate the foundation bearing capacity for the pole, where the foundation moment calculation formula is: ,in, is the foundation structure coefficient, which is related to the structural characteristics of the pole bottom load area, burial depth, etc. It is the horizontal area where the pole foundation contacts the soil;

[0022] S33. Substitute the foundation settlement displacement value into the foundation settlement additional moment calculation formula to calculate the moment generated by the uneven foundation settlement, wherein the foundation settlement additional moment calculation formula is: ,in, is the moment gain coefficient caused by uneven foundation settlement, is the foundation settlement displacement value.

[0023] Preferably, the construction of the wire tension influence model and the introduction of the wire tension and tension angle into the wire tension influence model to evaluate the influence of the wire tension on the pole toppling include the following specific steps:

[0024] S41. Substitute the wire tension and the wire tension angle into the wire tension torque calculation formula to evaluate the effect of the wire tension on the pole. The wire tension torque calculation formula is: ,in, is the tension of the i-th wire, is the length from the point of action of the i-th wire to the bottom of the pole, n is the total number of wires acting on the pole, is the tension angle of the i-th wire, that is, the angle between the tension direction of the i-th wire and the tilting direction of the pole.

[0025] Preferably, the step of constructing a tilt angle assessment model and introducing the influencing factors of pole tilt into the tilt angle assessment model to assess the tilt angle of the pole at a future moment comprises the following specific steps:

[0026] S51. Substitute the wind-induced tilting moment of the pole, the foundation moment, the additional moment of foundation settlement, and the wire tension moment into the calculation formula for the comprehensive moment of the pole toppling to calculate the total moment of the pole around the foundation. The calculation formula for the comprehensive moment of the pole toppling is: ;

[0027] S52. Substitute the comprehensive moment of the pole tipping into the pole rotation calculation formula to estimate the tilt angle at a future time, wherein the pole rotation calculation formula is: ,in, is the moment of inertia of the pole tilted around the base, where the calculation formula for the moment of inertia of the pole tilted around the base is: , the pole tilt angle at future moments is evaluated through the pole rotation calculation formula.

[0028] Preferably, the step of constructing a building damage risk assessment model, introducing the tension and wind force on the poles into the building damage risk assessment model to assess the pole fall speed, and assessing the building damage in combination with the building's impact resistance includes the following specific steps:

[0029] S61. Substitute the tension and wind force on the pole into the pole falling speed calculation formula to calculate the speed at which the pole falls and hits the building. The pole falling speed calculation formula is: ,in, is the angle of the pole during the falling process, and the pole falling speed is substituted into the pole impact strength calculation formula to evaluate the impact strength of the pole on the building when it falls. The pole impact strength calculation formula is: ;

[0030] S62. Substitute the earthquake resistance of the building into the building impact resistance calculation formula to evaluate the building's firmness, wherein the building impact resistance calculation formula is: , where C is the impact resistance coefficient of building materials, Z is the seismic resistance level of the building, and h is the building height;

[0031] S63. Substitute the impact strength of the pole and the impact resistance of the building into the building damage assessment formula to evaluate the impact of the pole falling on the building. The building damage assessment formula is: ,in, is the building distance coefficient, F is the safety impact force, and the building distance coefficient calculation formula is: ,in, is the angle between the building and the falling direction of the pole, d is the horizontal distance between the pole and the building, and the set damage threshold is used to provide graded warnings for building damage.

[0032] The distribution line pole tilt big data monitoring system based on smart sensors is implemented based on the above-mentioned distribution line pole tilt big data monitoring method based on smart sensors, and specifically includes:

[0033] Data acquisition module, used to obtain pole posture data and pole surrounding environment data;

[0034] Wind impact module, used to evaluate the impact of wind on the inclination of the poles through the wind force acting on the poles;

[0035] The foundation bearing module is used to evaluate the impact of foundation conditions on the inclination of the pole through soil moisture content and foundation settlement displacement values;

[0036] Wire tension impact module, used to evaluate the impact of wire tension on pole toppling through wire tension and tension angle;

[0037] The tilt angle assessment module is used to assess the tilt angle of the pole at a future moment based on the factors affecting the tilt of the pole;

[0038] The building damage risk assessment module is used to evaluate the falling speed of electric poles based on the tension and wind force on the poles, and to evaluate the building damage based on the building's impact resistance.

[0039] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0040] The processor executes the above-mentioned distribution line pole tilt big data monitoring method based on intelligent sensors by calling the computer program stored in the memory.

[0041] A computer-readable storage medium is characterized in that it stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned distribution line pole tilt big data monitoring method based on intelligent sensors.

[0042] Compared with the prior art, the present invention has the following advantages:

[0043] This application constructs a wind impact model, imports the wind force exerted on the pole into the wind impact model to evaluate the impact of the wind force on the inclination of the pole, constructs a foundation bearing model, imports the soil moisture content and foundation settlement displacement values ​​into the foundation bearing model to evaluate the impact of the foundation condition on the inclination of the pole, constructs a wire tension impact model, imports the wire tension data into the wire tension impact model to evaluate the impact of the wire tension on the toppling of the pole, constructs a tilt angle assessment model to evaluate the tilt angle of the pole at future moments, constructs a building damage risk assessment model, imports the tension and wind force exerted on the pole into the building damage risk assessment model to evaluate the falling speed of the pole, and evaluates the building damage in combination with the impact resistance of the building, thereby improving the intelligence level and risk prevention and control capabilities of the distribution line pole inclination monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a schematic diagram of the overall process of the distribution line pole tilt big data monitoring method based on smart sensors in this application;

[0045] Figure 2 Flowchart for calculating the tilt angle of the electric pole at the future time of this application;

[0046] Figure 3 A building damage assessment flow chart is provided for this application;

[0047] Figure 4 This is a schematic diagram of the overall framework of the distribution line pole tilt big data monitoring system based on smart sensors in this application. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments.

[0049] Example 1

[0050] See also Figure 1-3 The present application provides an embodiment of a method for monitoring the tilt of distribution line poles based on intelligent sensors, which includes the following specific steps:

[0051] Obtain pole posture data and pole surrounding environment data;

[0052] Construct a wind impact model and import the wind force acting on the pole into the wind impact model to evaluate the impact of wind force on the inclination of the pole;

[0053] Construct a foundation bearing model and import soil moisture content and foundation settlement displacement values ​​into the foundation bearing model to evaluate the impact of foundation conditions on pole tilt;

[0054] Construct a wire tension influence model, import wire tension and tension angle into the wire tension influence model to evaluate the influence of wire tension on pole toppling;

[0055] Construct a tilt angle assessment model and import the factors affecting the tilt of the pole into the tilt angle assessment model to estimate the tilt angle of the pole at future moments;

[0056] A building damage risk assessment model is constructed, and the tension and wind force acting on the poles are introduced into the building damage risk assessment model to evaluate the pole falling speed, and the building damage is evaluated in combination with the building's impact resistance.

[0057] In this embodiment, it should be specifically explained that obtaining the pole posture data and obtaining the pole surrounding environment data includes the following specific steps:

[0058] S11. Obtaining geographic location information of the pole, obtaining pole attitude data through sensors, obtaining the inclination angle, direction, and foundation condition of the pole in three-dimensional space, obtaining foundation settlement displacement data through a ground settlement sensor, obtaining pole attitude data through a three-axis gyroscope and a three-axis accelerometer, including the pole inclination angle, inclination direction, vibration acceleration inclination angle, settlement condition, and displacement state, and obtaining the inclination angle of the pole relative to the vertical direction through a tilt sensor;

[0059] S12. Acquire environmental parameter information through environmental sensors, acquire wind speed and direction data through mechanical wind speed and direction sensors, and acquire moisture content of the soil around the pole through soil moisture sensors.

[0060] In this embodiment, it should be specifically explained that constructing a wind impact model and introducing the wind force acting on the pole into the wind impact model to evaluate the impact of the wind force on the inclination of the pole includes the following specific steps:

[0061] S21. Substitute the wind direction angle and the pole tilt angle into the calculation formula for the effective component of wind force in the pole tilt direction to evaluate the effect of wind force on the pole tilt. The calculation formula for the effective component of wind force in the pole tilt direction is: ,in, is the air density, is the drag coefficient of the rod body, which is used to characterize the resistance characteristics of the rod body to the airflow. is the windward area of ​​the pole, is the wind speed, reflecting the secondary enhancement effect of the square of wind speed on wind force, It is the angle between the wind direction and the tilt direction of the pole, and is used to project the effective component of the wind force in the tilt direction. It is the projection of wind force on the tilt direction of the pole. Through the interaction of multiple factors such as wind direction change and wind speed change, the future trend of the pole's posture change is evaluated. The angle between the wind direction and the tilt direction of the pole is calculated as follows: ,in, is the wind direction angle, is the inclination angle of the pole relative to the vertical direction. The total driving force of the wind on the pole per unit time is evaluated by the air density, the windward area of ​​the pole, the drag coefficient and the square of the wind speed. The effective projection component of the wind force in the inclination direction is extracted by multiplying it by the cosine value of the angle between the wind direction and the inclination direction of the pole.

[0062] S22. Substitute the effective component of wind force in the tilt direction of the pole and the pole's own overturning force into the calculation formula for the pole's wind tilt moment to evaluate the pole's tilt moment under the combined action of the pole's deadweight and wind force. The calculation formula for the pole's wind tilt moment is: ,in, is the pole's deadweight overturning force, H is the pole's height, and the calculation formula for the pole's deadweight overturning force is: ,in, is the weight of the pole itself. When the wind direction is consistent with the tilt direction, the wind force acts completely in the tilt direction. If the angle is close to 90°, the wind only causes swaying and does not directly aggravate the tilt. The effective component of the wind force in the tilt direction and the component of the pole's own gravity in the tilt direction are combined to form a resultant force, and the wind tilt moment of the pole is comprehensively calculated.

[0063] In this embodiment, it should be specifically explained that constructing a foundation bearing model and importing soil moisture content and foundation settlement displacement values ​​into the foundation bearing model to evaluate the impact of foundation conditions on the inclination of the pole includes the following specific steps:

[0064] S31. Substitute the soil moisture content into the foundation bearing capacity calculation formula to calculate the foundation bearing condition, wherein the foundation bearing capacity calculation formula is: ,in, is the reference load modulus in dry state, is the moisture content of the soil around the pole foundation, is the soil softening coefficient caused by water infiltration, which indicates the proportion of bearing capacity reduction caused by unit water content change. An increase in soil moisture content will lead to larger structural pores, lower friction coefficient, and lower cohesion, thus causing a decrease in bearing capacity;

[0065] S32. Substitute the foundation bearing capacity into the foundation moment calculation formula to calculate the foundation bearing capacity for the pole, where the foundation moment calculation formula is: ,in, is the foundation structure coefficient, which is related to the structural characteristics of the pole bottom load area, burial depth, etc. It is the horizontal area of ​​contact between the pole foundation and the soil. The reaction force provided by the foundation acts on a certain lever arm to form a resistance moment to offset the tipping moment of the pole caused by wind, gravity, etc. It is used to measure the overall stiffness of the foundation. The greater the foundation bearing capacity and the larger the bottom area, the greater the tipping moment it can withstand. By comprehensively considering the foundation bearing capacity, the horizontal area of ​​contact between the pole foundation and the soil, and the inclination angle, the accuracy of the foundation moment calculation is improved.

[0066] S33. Substitute the foundation settlement displacement value into the foundation settlement additional moment calculation formula to calculate the moment generated by the uneven foundation settlement, wherein the foundation settlement additional moment calculation formula is: ,in, is the moment gain coefficient caused by uneven foundation settlement, which is determined by soil parameters and foundation structure and obtained through experimental fitting. is the foundation settlement displacement value. When the foundation shifts due to uneven hardness or uneven soil distribution, it will cause asymmetric force on the foundation and form additional torque.

[0067] In this embodiment, it should be specifically explained that constructing a wire tension influence model and importing wire tension and tension angle into the wire tension influence model to evaluate the influence of wire tension on pole toppling includes the following specific steps:

[0068] S41. Substitute the wire tension and the wire tension angle into the wire tension torque calculation formula to evaluate the effect of the wire tension on the pole. The wire tension torque calculation formula is: ,in, is the tension of the i-th wire, obtained through the tension sensor, is the length from the point of action of the i-th wire to the bottom of the pole. The higher the wire is attached, the greater the force arm. The longer it is, the greater the pulling torque it generates. n is the total number of wires acting on the pole. The number of wires affects the pulling force on the pole. is the tension angle of the i-th wire, that is, the angle between the tension direction of the i-th wire and the tilting direction of the pole. The wire tension is obtained through the tension sensor. When the wire tension deviates from the balanced distribution, it will cause lateral displacement at the top or middle of the pole. The pole often carries multiple wires, and the resultant torque is the vector superposition of the torques generated by each tension.

[0069] In this embodiment, it should be specifically explained that constructing the tilt angle evaluation model and introducing the influencing factors of the pole tilt into the tilt angle evaluation model to evaluate the tilt angle of the pole at a future moment includes the following specific steps:

[0070] S51. Substitute the wind-induced tilting moment of the pole, the foundation moment, the additional moment of foundation settlement, and the wire tension moment into the calculation formula for the comprehensive moment of the pole toppling to calculate the total moment of the pole around the foundation. The calculation formula for the comprehensive moment of the pole toppling is: The total moment of pole toppling is calculated by comprehensively calculating the wind-induced tilting moment of the pole, the foundation moment, the additional moment of foundation settlement and the wire tension moment, and a comprehensive assessment of the pole tilt is made from the three aspects of wind force, foundation and wire tension.

[0071] S52. Substitute the comprehensive moment of the pole tipping into the pole rotation calculation formula to estimate the tilt angle at a future time, wherein the pole rotation calculation formula is: ,in, is the moment of inertia of the pole tilted around the base, where the calculation formula for the moment of inertia of the pole tilted around the base is: The pole tilt angle at the future moment is evaluated by the pole rotation calculation formula, which is based on Newton's second law of rigid body rotation.

[0072] In this embodiment, it should be specifically explained that constructing a building damage risk assessment model, introducing the tension and wind force on the poles into the building damage risk assessment model to assess the pole fall speed, and assessing the building damage in combination with the building's impact resistance includes the following specific steps:

[0073] S61. Substitute the tension and wind force on the pole into the pole falling speed calculation formula to calculate the speed at which the pole falls and hits the building. The pole falling speed calculation formula is: ,in, is the angle of the pole during the toppling process, and the pole falling end speed, that is, the instantaneous speed when the pole end touches the ground or hits the building. The pole falling speed is substituted into the pole impact strength calculation formula to evaluate the impact strength of the pole on the building when it falls. The pole impact strength calculation formula is: The angle between the pulling direction and the falling direction of the pole determines whether the tension of the wire accelerates or decelerates the falling trend. , the pulling force helps the pole to fall, accelerating the fall. The pulling force helps push the pole to fall and slows it down. The pole falling speed is calculated comprehensively based on the pole’s own factors, wind influence and wire pulling force, which improves the accuracy of pole impact analysis.

[0074] S62. Substitute the earthquake resistance of the building into the building impact resistance calculation formula to evaluate the building's firmness, wherein the building impact resistance calculation formula is: , where C is the impact resistance coefficient of building materials, Z is the building seismic resistance level, which is obtained by consulting literature or experimental fitting, and h is the building height. The building's resistance is proportional to its structural seismic resistance. The height and material properties jointly determine whether the building can withstand the energy impact when the pole falls. Each parameter can be set according to national standards or industry databases;

[0075] For example, the impact resistance coefficients of reinforced concrete and brick-wood structure building materials are obviously different, which can be obtained through experimental simulation or reference;

[0076] S63. Substitute the impact strength of the pole and the impact resistance of the building into the building damage assessment formula to evaluate the impact of the pole falling on the building. The building damage assessment formula is: ,in, is the building distance coefficient, F is the safety impact force, and the building distance coefficient calculation formula is: ,in, is the angle between the building and the falling direction of the pole, d is the horizontal distance between the pole and the building, and the building damage is graded and warned based on the set damage threshold;

[0077] For example, when the damage value When the building is slightly damaged, the damage value When the damage value is The building was severely damaged and people were evacuated in advance.

[0078] The advantages of this embodiment over the prior art are as follows: the present application constructs a wind impact model, imports the wind force acting on the pole into the wind impact model to evaluate the impact of the wind force on the inclination of the pole, constructs a foundation bearing model, imports the soil moisture content and foundation settlement displacement values ​​into the foundation bearing model to evaluate the impact of the foundation condition on the inclination of the pole, constructs a wire tension impact model, imports the wire tension data into the wire tension impact model to evaluate the impact of the wire tension on the toppling of the pole, constructs a tilt angle assessment model to evaluate the tilt angle of the pole at future moments, constructs a building damage risk assessment model, imports the tension and wind force acting on the pole into the building damage risk assessment model to evaluate the falling speed of the pole, and evaluates the building damage in combination with the impact resistance of the building, thereby improving the intelligence level and risk prevention and control capabilities of the distribution line pole inclination monitoring.

[0079] Example 2

[0080] like Figure 4As shown, a distribution line pole tilt big data monitoring system based on intelligent sensors is implemented based on the above-mentioned distribution line pole tilt big data monitoring method based on intelligent sensors, and specifically includes a data acquisition module, a wind impact module, a foundation bearing module, a wire tension impact module, a tilt angle evaluation module and a building damage risk evaluation module. The data acquisition module is used to obtain pole posture data and pole surrounding environment data; the wind impact module is used to evaluate the impact of wind on pole tilt through the wind force exerted on the pole; the foundation bearing module is used to evaluate the impact of foundation conditions on pole tilt through soil moisture content and foundation settlement displacement value; the wire tension impact module is used to evaluate the impact of wire tension on pole toppling through wire tension and tension angle; the tilt angle evaluation module is used to evaluate the pole tilt angle at a future moment through the influencing factors of pole tilt; the building damage risk evaluation module is used to evaluate the pole falling speed through the tension and wind force exerted on the pole, and evaluate the building damage in combination with the building's impact resistance.

[0081] Example 3

[0082] This embodiment provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0083] The processor executes the above-mentioned distribution line pole tilt big data monitoring method based on intelligent sensors by calling the computer program stored in the memory.

[0084] This electronic device can vary significantly depending on its configuration or performance. It can include one or more processors (Central Processing Units, CPUs) and one or more memories, wherein the memories store at least one computer program, which is loaded and executed by the processor to implement the method for monitoring distribution line pole inclination using big data using smart sensors, as described in the above-mentioned method embodiment. The electronic device can also include other components for implementing its functions. For example, the electronic device can also include components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment is not described in detail here.

[0085] Example 4

[0086] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0087] When the computer program runs on a computer device, the computer device executes the above-mentioned distribution line pole inclination big data monitoring method based on smart sensors.

[0088] For example, computer-readable storage media can be read-only memory (ROM), random access memory (RAM), compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device.

[0089] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. A computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions according to the embodiments of the present application are fully or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, computer instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. A computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

Claims

1. A big data monitoring method for distribution line pole tilt based on intelligent sensors, characterized in that: It includes the following specific steps: Obtain pole posture data and pole surrounding environment data; Construct a wind impact model and import the wind force acting on the pole into the wind impact model to evaluate the impact of wind force on the inclination of the pole; Construct a foundation bearing model and import soil moisture content and foundation settlement displacement values ​​into the foundation bearing model to evaluate the impact of foundation conditions on pole tilt; Construct a wire tension influence model, import wire tension and tension angle into the wire tension influence model to evaluate the influence of wire tension on pole toppling; Construct a tilt angle assessment model and import the factors affecting the tilt of the pole into the tilt angle assessment model to estimate the tilt angle of the pole at future moments; A building damage risk assessment model is constructed, and the tension and wind force acting on the poles are introduced into the building damage risk assessment model to evaluate the pole falling speed, and the building damage is evaluated in combination with the building's impact resistance.

2. The method for monitoring the inclination of distribution line poles based on intelligent sensors according to claim 1, characterized in that: The construction of the wind impact model and the introduction of the wind force acting on the pole into the wind impact model to evaluate the impact of the wind force on the inclination of the pole include the following specific steps: Substitute the wind direction angle and the pole tilt angle into the calculation formula of the effective component of wind force in the tilt direction of the pole to evaluate the effect of wind force on the tilt of the pole. The calculation formula of the effective component of wind force in the tilt direction of the pole is: ,in, is the air density, is the drag coefficient of the pole, is the windward area of ​​the pole, is the wind speed, is the angle between the wind direction and the tilt direction of the pole, is the projection of wind force on the tilt direction of the pole, where the angle between wind direction and the tilt direction of the pole is calculated as: ,in, is the wind direction angle, is the inclination angle of the pole relative to the vertical direction; Substitute the effective component of wind force in the tilt direction of the pole and the pole's own overturning force into the calculation formula for the pole's wind tilt moment to evaluate the pole's tilt moment under the combined action of the pole's deadweight and wind force. The calculation formula for the pole's wind tilt moment is: ,in, is the pole's deadweight overturning force, H is the pole's height, and the calculation formula for the pole's deadweight overturning force is: ,in, is the weight of the pole itself.

3. The method for monitoring the inclination of distribution line poles based on intelligent sensors according to claim 2, characterized in that: The construction of the foundation bearing model and the introduction of soil moisture content and foundation settlement displacement values ​​into the foundation bearing model to evaluate the influence of the foundation condition on the inclination of the electric pole include the following specific steps: Substitute the soil moisture content into the foundation bearing capacity calculation formula to calculate the foundation bearing condition. The foundation bearing condition is comprehensively evaluated by the benchmark bearing modulus in the dry state, the moisture content of the soil around the pole foundation, and the soil softening coefficient caused by water infiltration. Substitute the foundation bearing capacity into the foundation moment calculation formula to calculate the foundation bearing capacity of the pole, where the foundation moment calculation formula is: ,in, is the bearing capacity of the foundation, is the foundation structure coefficient, It is the horizontal area where the pole foundation contacts the soil; Substitute the foundation settlement displacement value into the foundation settlement additional moment calculation formula to calculate the moment generated by uneven foundation settlement. The foundation settlement additional moment calculation formula is: ,in, is the moment gain coefficient caused by uneven foundation settlement, is the foundation settlement displacement value.

4. The method for monitoring the inclination of distribution line poles based on intelligent sensors according to claim 3, characterized in that: The construction of the wire tension influence model and the introduction of the wire tension and tension angle into the wire tension influence model to evaluate the influence of the wire tension on the pole toppling include the following specific steps: Substitute the wire tension and wire tension angle into the wire tension torque calculation formula to evaluate the effect of the wire tension on the pole. The wire tension torque calculation formula is: ,in, is the tension of the i-th wire, is the length from the point of action of the i-th wire to the bottom of the pole, n is the total number of wires acting on the pole, is the tension angle of the i-th wire.

5. The method for monitoring the inclination of distribution line poles based on intelligent sensors according to claim 4, characterized in that: The construction of the tilt angle evaluation model and the introduction of the influencing factors of the pole tilt into the tilt angle evaluation model to evaluate the tilt angle of the pole at a future moment include the following specific steps: The comprehensive moment of pole toppling is calculated by superimposing the wind-induced tilting moment of the pole, the foundation moment, the additional moment of foundation settlement, and the wire tension moment. The comprehensive moment of pole toppling is substituted into the pole rotation calculation formula to estimate the tilt angle at the future moment. The pole rotation calculation formula is: ,in, is the comprehensive moment of pole tipping, is the moment of inertia of the pole tilted around the base, where the calculation formula for the moment of inertia of the pole tilted around the base is: , the pole tilt angle at future moments is evaluated through the pole rotation calculation formula.

6. The method for monitoring the inclination of distribution line poles based on intelligent sensors according to claim 5, characterized in that: The construction of the building damage risk assessment model, introducing the tension and wind force on the pole into the building damage risk assessment model to assess the pole falling speed, and combining the impact resistance of the building to assess the building damage situation includes the following specific steps: Substitute the tension and wind force on the pole into the pole falling speed calculation formula to calculate the speed at which the pole falls and hits the building. The pole falling speed calculation formula is: ,in, is the angle of the pole during the toppling process. The pole falling speed is substituted into the pole impact strength calculation formula to evaluate the impact strength of the pole on the building when it falls. The pole impact strength calculation formula is: ; Substitute the building's earthquake resistance into the building's impact resistance calculation formula to assess the building's strength. The building's impact resistance calculation formula is: , where C is the impact resistance coefficient of building materials, Z is the seismic resistance level of the building, and h is the building height; Substitute the impact strength of the pole and the impact resistance of the building into the building damage assessment formula to evaluate the impact of the pole falling on the building. The building damage assessment formula is: ,in, is the building distance coefficient, F is the safety impact force, and the building distance coefficient calculation formula is: ,in, is the angle between the building and the falling direction of the pole, d is the horizontal distance between the pole and the building, and the set damage threshold is used to provide graded warnings for building damage.

7. The method for monitoring the inclination of distribution line poles based on intelligent sensors according to claim 6, characterized in that: The acquisition of the pole posture data and the pole surrounding environment data comprises the following specific steps: Obtain the geographical location information of the pole, obtain the pole posture data through sensors, obtain the inclination angle, direction and foundation conditions of the pole in three-dimensional space, and obtain the foundation settlement displacement data through ground settlement sensors; S12. Acquire environmental parameter information through environmental sensors, acquire wind speed and direction data through mechanical wind speed and direction sensors, and acquire moisture content of the soil around the pole through soil moisture sensors.

8. A distribution line pole tilt big data monitoring system based on smart sensors, which is implemented based on the distribution line pole tilt big data monitoring method based on smart sensors according to any one of claims 1 to 7, characterized in that: Specifically include: Data acquisition module, used to obtain pole posture data and pole surrounding environment data; Wind impact module, used to evaluate the impact of wind on the inclination of the poles through the wind force acting on the poles; The foundation bearing module is used to evaluate the impact of foundation conditions on the inclination of the pole through soil moisture content and foundation settlement displacement values; Wire tension impact module, used to evaluate the impact of wire tension on pole toppling through wire tension and tension angle; The tilt angle assessment module is used to assess the tilt angle of the pole at a future moment based on the factors affecting the tilt of the pole; The building damage risk assessment module is used to evaluate the falling speed of electric poles based on the tension and wind force on the poles, and to evaluate the building damage based on the building's impact resistance.

9. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the distribution line pole inclination big data monitoring method based on intelligent sensors as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute the distribution line pole tilt big data monitoring method based on intelligent sensors as described in any one of claims 1 to 7.

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