[0001] The present disclosure relates to a field of transmission tower inspection. More specifically, the present disclosure relates to a method for detection and prevention of detrimental effects on structural integrity of transmission tower.
BACKGROUND [0002] A transmission tower is a tall structure used to support a power line. The power line is a structure used in electric power transmission and distribution. The power line is used to transmit electrical energy along large distances. The transmission tower and the power line face various issues as the transmission tower and the power line get deteriorated with time. The transmission tower and the power line face regular wear and tear of components of the transmission tower and the power line. In addition, the transmission tower and the power line face tilting and bending of components of the transmission tower and the power line. The issues are faced by the transmission tower and the power line due to impact of wind, strain, pressure and the like on the transmission tower and the power line. In addition, the issues faced by components of the transmission tower and the power line include issues created by humans such as theft and the like. Many a times, the transmission tower and the power line is hugely impacted by cascading failure. In general, cascading failure is a process in a system of interconnected parts in which failure of one or few parts can trigger failure of other parts. However, the exact reason for occurrence of such issues is never figured out after the issue happens. As a result, the transmission tower and the power line needs to be shut down for repair and maintenance of the transmission tower and the power line. However, shutting down of the transmission tower and the power line result in a great loss. In light of the above stated discussion, there is a constant need of a method that identifies exact

reason of occurrence of such issues faced by components of the transmission tower and the power line.
OBJECT OF THE DISCLOSURE
[0003] A primary object of the present disclosure is to provide a method for detection
and prevention of detrimental effects on structural integrity of transmission tower.
[0004] Another object of the present disclosure is to predict detrimental effects that
may occur on structural integrity of transmission tower in near future.
[0005] Yet another object of the present disclosure is to detect, prevent and predict
detrimental effects on structural integrity of power line installed between one or more
transmission towers.
[0006] Yet another object of the present disclosure is to provide inspection of
structural integrity of one or more components of transmission tower.
[0007] Yet another object of the present disclosure is to collect data from a plurality
of sensors for analyzing detrimental effects on structural integrity of transmission
tower.
SUMMARY [0008] In one aspect, the present disclosure provides a method for detecting and preventing detrimental effects on structural integrity of one or more transmission towers. The method includes a first step of installing one or more IoT based sensors on each transmission tower of the one or more transmission towers and power line installed between the one or more transmission towers. In addition, the method includes a second step of measuring a set of data associated with the one or more IoT based sensors. Further, the method includes a third step of sending the set of data associated with the one or more IoT based sensors to an integrity detection system. Furthermore, the method includes a fourth step of creating one or more set of graphs at the integrity detection system in real-time. Moreover, the method includes a fifth step of mapping the one or more set of graphs created at the integrity detection system with one or more pre-defined set of graphs. Also, the method includes a sixth

step of predicting detrimental effects on structural integrity of the one or more transmission towers. The one or more IoT based sensors are installed to measure the set of data associated with the one or more IoT based sensors. The set of data is measured based on one or more pre-defined parameters. The one or more pre-defined parameters include at least one of temperature, humidity, stress, X-axis displacement, Y-axis displacement, and Z-axis displacement of the one or more transmission towers. The set of data is measured by the one or more IoT based sensors. The set of data is measured periodically after a pre-defined time interval. The set of data is measured and forwarded to a data accumulator. The set of data is sent to the integrity detection system by the data accumulator through a communication network. The set of data is sent to the integrity detection system to create the one or more set of graphs based on the set of data. The one or more set of graphs are created using the set of data measured by the one or more IoT based sensors. The one or more set of graphs are created for mapping at the integrity detection system. The mapping is done with the one or more pre-defined set of graphs to identify deviation in the measured set of data from a pre-defined threshold level set in the one or more pre-defined set of graphs. The deviation is identified to detect detrimental effects on structural integrity of the one or more transmission towers. The detrimental effects include at least one of wear and tear, tilting and bending of the one or more transmission towers, impact of wind, strain, pressure, or theft of the one or more transmission towers and cascading effect during fall of at least one of the one or more transmission towers. The detrimental effects on structural integrity of the one or more transmission towers are predicted by mapping the one or more set of graphs created at the integrity detection system with the one or more pre-defined set of graphs. The prediction is done to prevent detrimental effects on structural integrity of the one or more transmission towers in near future.
BRIEF DESCRIPTION OF FIGURES

[0009] FIG. 1 illustrates a perspective view of a typical scenario for detection and
prevention of detrimental effects on structural integrity of a transmission tower, in
accordance with an embodiment of the present disclosure;
[0010] FIG. 2 illustrates an interactive computing environment for detection and
prevention of detrimental effects on the structural integrity of the transmission tower,
in accordance with various embodiments of the present disclosure;
[0011] FIG. 3 illustrates a graph of temperature with respect to date that is stored in
one or more pre-defined set of graphs, in accordance with various embodiments of
the present disclosure;
[0012] FIG. 4 illustrates a graph of humidity with respect to date that is stored in the
one or more pre-defined set of graphs, in accordance with various embodiments of
the present disclosure;
[0013] FIG. 5 illustrates a graph of stress with respect to date that is stored in the one
or more pre-defined set of graphs, in accordance with various embodiments of the
present disclosure;
[0014] FIG. 6 illustrates a graph of x-axis displacement with respect to date that is
stored in the one or more pre-defined set of graphs, in accordance with various
embodiments of the present disclosure;
[0015] FIG. 7 illustrates a graph of y-axis displacement with respect to date that is
stored in the one or more pre-defined set of graphs, in accordance with various
embodiments of the present disclosure; and
[0016] FIG. 8 illustrates a graph of z-axis displacement with respect to date that is
stored in the one or more pre-defined set of graphs, in accordance with various
embodiments of the present disclosure.
DETAILED DESCRIPTION [0017] FIG. 1 illustrates a perspective overview 100 of a typical scenario of installation of elements required for detection and prevention of detrimental effects on structural integrity of transmission tower, in accordance with an embodiment of

the present disclosure. The perspective overview 100 includes one or more IoT based sensors 102, one or more transmission towers 104 and a data accumulator 106. [0018] The perspective overview 100 includes the one or more IoT based sensors 102. In general, IoT stands for Internet of things. In general, IoT is network of 5 physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, actuators, and connectivity that enables these objects to connect and exchange data. In general, IoT based sensors are devices or sensors that are capable to be monitored through a communication device. Further, the communication device is any smart device which mainly includes display panel and
10 network connectivity. In addition, the communication device may be portable or stationary. In an example, the communication device includes laptop, desktop, smartphone, tablet, workstation PC and the like.
[0019] In an embodiment of the present disclosure, the communication device includes an advanced vision display panel. The advanced vision display panels
15 include OLED, AMOLED, Super AMOLED, Retina display, Haptic touchscreen display and the like. In another embodiment of the present disclosure, the communication device includes a basic display panel. The basic display panel includes but may not be limited to LCD, IPS-LCD, capacitive touchscreen LCD, resistive touchscreen LCD, TFT-LCD and the like.
20 [0020] In an embodiment of the present disclosure, network connectivity allows the communication device to connect to network. In another embodiment of the present disclosure, network connectivity allows the communication device to send and receive data through Internet. In an example, the communication device connects to Internet through one of at least 2G, 3G, 4G, Wi-Fi, Ethernet, GPRS, EDGE and the
25 like. In an embodiment of the present disclosure, the communication device includes a suitable operating system for performing necessary operations. The operating system includes but may not be limited to Windows operating system from Microsoft and macOS by Apple. Also, the operating system includes Linux, UNIX, and the
6

like. In addition, the operating system includes Android from Google, BlackBerry from BlackBerry Limited, Symbian from Nokia and the like.
[0021] In an embodiment of the present disclosure, the one or more IoT based sensors 102 include at least one of strain gauge sensor, temperature sensor, humidity 5 sensor, rain sensor and the like. Further, the one or more IoT based sensors 102 include current sensor, infra-red sensor, barometric pressure sensor and the like. Furthermore, the one or more IoT based sensors 102 include but may not be limited to altimeter, tension meter, accelerometer, tiltmeter, anemometer and wind vanes. [0022] In general, strain gauge sensor is a sensor whose resistance varies with
10 applied force. In addition, strain gauge sensor converts force, pressure, tension, weight, and the like into a change in electrical resistance which can then be measured. In general, temperature sensor is a device, typically, a thermocouple or resistance temperature detector, that provides for temperature measurement through electrical signal. In general, humidity sensor is also called as hygrometer. Also, humidity
15 sensor senses, measures and reports relative humidity in the air. In general, humidity sensor measures both moisture and air temperature. In general, rain sensor is sensor device used for rain detection. Also, rain sensor is used to measure rainfall intensity. In general, current sensor is a device that detects electric current in a wire, and generates a signal proportional to detected current. In addition, current sensor may
20 generate signal in analog voltage or current or even a digital output. In general, infra¬red sensor is a device that detects motion by receiving infra-red radiation. In general, barometric pressure sensors are devices that are used to measure atmospheric pressure. [0023] In general, altimeter is an instrument used to measure altitude of an object
25 above a fixed level. In addition, altimeter is also termed as an altitude meter. In general, tension meter is a device used to measure tension in wires, cables, textiles, belts and the like. In general, accelerometer is a device that measures proper acceleration. In relativity theory, proper acceleration is physical acceleration
7

experienced by an object. In addition, proper acceleration is acceleration relative to free-fall, or inertial, observer who is momentarily at rest relative to the object being measured. In general, tiltmeter is a sensitive inclinometer designed to measure very small changes from vertical level, either on the ground or in structures. In general, 5 anemometer is a device used for measuring speed of wind. The anemometer is a common weather station instrument. In general, wind vane is an instrument for showing direction of wind. Also, wind vane is commonly called as weather vane, or weathercock. [0024] In an example, accelerometer may be used to measure speed of wind. In
10 addition, accelerometer may be used to measure X-displacement, Y-displacement and Z-displacement of the one or more transmission towers 104. Also, accelerometer may be used to measure X-displacement, Y-displacement and Z-displacement of power line installed between the one or more transmission towers 104. Further, tiltmeter may be used to measure tilt developed in the one or more transmission
15 towers 104. Furthermore, tiltmeter may be used to measure tilt developed in power line between the one or more transmission towers 104.
[0025] In general, transmission tower is also termed as power tower. In addition, transmission tower is a tall structure, usually a steel lattice tower that is used to support an overhead power line. Also, transmission tower is a structure set up for the
20 purpose of transmitting and receiving power, radio, telecommunication, electrical, television and other electromagnetic signals.
[0026] The term structural integrity here refers to quality of transmission tower. Also, the term structural integrity refers to health of transmission tower. The term detrimental effects here refer to harmful or destructive effects that occur on the one or
25 more transmission towers 104. Also, detrimental effects refer to harmful or destructive effects that occur on power line installed between the one or more transmission towers 104. The detrimental effects occur on the one or more
8

transmission towers 104 and power line installed between the one or more transmission towers 104 with passage of time.
[0027] The one or more IoT based sensors 102 are installed on the one or more transmission towers 104. Also, the one or more IoT based sensors 102 are installed 5 on power line installed between the one or more transmission towers 104. In an embodiment of the present disclosure, the one or more IoT based sensors 102 are installed manually by a user on the one or more transmission towers 104. In another embodiment of the present disclosure, the one or more IoT based sensors 102 are installed on the one or more transmission towers 104 using an unmanned aerial
10 vehicle. In an embodiment of the present disclosure, the one or more IoT based sensors 102 are installed manually by the user on power line installed between the one or more transmission towers 104. In another embodiment of the present disclosure, the one or more IoT based sensors 102 are installed on power line installed between the one or more transmission towers 104 using the unmanned aerial
15 vehicle.
[0028] Further, the user is a knowledgeable person that possess enough wisdom to install the one or more IoT based sensors 102 on the one or more transmission towers 104. In an embodiment of the present disclosure, the user includes but may not be limited to a technician, tower inspector, quality manager, a member of quality team
20 and a member of field team. In another embodiment of the present disclosure, the user includes but may not be limited to workers, engineers and labors. In general, the unmanned aerial vehicle is an aircraft without a human pilot aboard. In an example, the unmanned aerial vehicle includes but may not be limited to drone and quad copter.
25 [0029] The perspective overview 100 includes the data accumulator 106. The data accumulator 106 is a device having memory and battery. In an embodiment of the present disclosure, the data accumulator 106 receives data in the form of pulses. In an embodiment of the present disclosure, the data accumulator 106 is placed in
9

vicinity of the one or more IoT based sensors 102. In an embodiment of the present disclosure, the data accumulator 106 is placed at site of the one or more transmission towers 104. The data accumulator 106 is having a wireless connection with the one or more IoT based sensors 102. In an embodiment of the present disclosure, the data 5 accumulator 106 is placed at each transmission tower of the one or more transmission towers 104. The data accumulator 106 is connected with each sensor of the one or more IoT based sensors 102.
[0030] Reference will now be made to FIG. 2 for various embodiments of the present disclosure for detection and prevention of detrimental effects on structural integrity of
10 transmission tower, in accordance with an embodiment of the present disclosure. It may be noted that to explain the system elements of FIG. 2, references will now be made to the elements of FIG. 1. The interactive computing environment 200 includes the one or more IoT based sensors 102, the one or more transmission towers 104, the data accumulator 106, a communication network 202 and an integrity
15 detection system 204. Further, the interactive computing environment 200 includes a server 206 and a database 208.
[0031] The one or more IoT based sensors 102 are installed on each transmission tower of the one or more transmission towers 104. In addition, the one or more IoT based sensors 102 are installed on power line installed between the one or more
20 transmission towers 104. The one or more IoT based sensors 102 are installed to measure a set of data associated with the one or more IoT based sensors 102. The set of data is measured based on one or more pre-defined parameters. In an embodiment of the present disclosure, number of each type of sensor in the one or more IoT based sensors 102 is pre-defined. In another embodiment of the present disclosure, number
25 of each type of sensor in the one or more IoT based sensors 102 is changed based on each sensor in the one or more IoT based sensors 102. In an example, the one or more IoT based sensors 102 include 5 rain sensors, 4 accelerometers, 2 humidity
10

sensors and the like. In another example, the one or more IoT based sensors 102 include 5 rain sensors, 5 accelerometers, 5 tiltmeters and the like. [0032] Further, the set of data is measured based on the one or more pre-defined parameters. The one or more pre-defined parameters include at least one of 5 temperature, humidity, stress, X-axis displacement, Y-axis displacement, and Z-axis displacement of the one or more transmission towers 104. In addition, the one or more pre-defined parameters include at least one of temperature, humidity, stress, X-axis displacement, Y-axis displacement, and Z-axis displacement of power line installed between the one or more transmission towers 104.
10 [0033] Further, the one or more IoT based sensors 102 sense and measure the set of data associated with the one or more IoT based sensors 102. In an embodiment of the present disclosure, the set of data is measured to detect and prevent detrimental effects on structural integrity of the one or more transmission towers 104. In another embodiment of the present disclosure, the set of data is measured to detect and
15 prevent detrimental effects on structural integrity of power line installed between the one or more transmission towers 104. The one or more IoT based sensors 102 detect or sense events or changes in their environment. In addition, the one or more IoT based sensors 102 measure the set of data based on detected or sensed events or changes. The set of data is measured periodically after a pre-defined time interval.
20 [0034] Further, the measured set of data is forwarded to the data accumulator 106. The data accumulator 106 receives the set of data on real-time basis. In addition, the data accumulator 106 stores the set of data on temporary basis. The data accumulator 106 is connected with the one or more IoT based sensors 102 through the communication network 202.
25 [0035] In an embodiment of the present disclosure, the pre-defined time interval may be changed according to requirement of the user. In an embodiment of the present disclosure, the pre-defined time interval may be anywhere between seconds to hours. In an example, the pre-defined time interval is 5 seconds. In another example, the
11

pre-defined time interval is 10 seconds. In another example, the pre-defined time interval is 1 hour.
[0036] Further, the data accumulator 106 sends the set of data associated with the one or more IoT based sensors 102 to the integrity detection system 204. The data 5 accumulator 106 sends the set of data to the integrity detection system 204 through the communication network 202. In an embodiment of the present disclosure, the data accumulator 106 sends the set of data to the integrity detection system 204 in real-time. In another embodiment of the present disclosure, the data accumulator 106 sends the set of data to the integrity detection system 204 after a time interval.
10 [0037] In an embodiment of the present disclosure, the time interval may be any time interval value ranging from seconds to hours. In an example, the time interval is of 5 seconds. In another example, the time interval is of 60 seconds. In another example, the time interval is of 5 minutes. [0038] The interactive computing environment 200 includes the communication
15 network 202 for communicating information. The communication of information is between the one or more IoT based sensors 102 and the integrity detection system 204. In an embodiment of the present disclosure, the one or more IoT based sensors 102 are connected to the integrity detection system 204 through the communication network 202. In another embodiment of the present disclosure, the data accumulator
20 106 is connected to the one or more IoT based sensors 102 through the communication network 202. In an embodiment of the present disclosure, the communication network 202 enables the integrity detection system 204 to gain access to the internet. Moreover, the communication network 202 provides a medium to transfer information between the data accumulator 106 and the integrity detection
25 system 204. Further, the medium for communication may be internet, infrared, microwave, radio frequency (RF) and the like.
[0039] Further, the set of data is sent to the integrity detection system 204 from the data accumulator 106. The set of data is sent to create one or more set of graphs
12

based on the set of data. Furthermore, the integrity detection system 204 creates the one or more set of graphs based on the set of data. The integrity detection system 204 creates the one or more set of graphs in real-time. The one or more set of graphs are created using the set of data measured by the one or more IoT based sensors 102. 5 The one or more set of graphs are created for mapping at the integrity detection system 204.
[0040] In an embodiment of the present disclosure, the integrity detection system 204 creates the one or more set of graphs based on machine-learning algorithms. In another embodiment of the present disclosure, the one or more set of graphs are
10 created based on any suitable algorithm. In an embodiment of the present disclosure, the one or more set of graphs are created based on the one or more pre-defined parameters. In an example, the one or more set of graphs are created for temperature, humidity, stress, X-axis displacement, Y-axis displacement, and Z-axis displacement of the one or more transmission towers 104. In another example, the one or more set
15 of graphs are created for temperature, humidity, stress, X-axis displacement, Y-axis displacement, and Z-axis displacement of power line installed between the one or more transmission towers 104.
[0041] In an embodiment of the present disclosure, the one or more set of graphs may be created in one or more forms. In an example, the one or more forms may include
20 bar graphs, box plots, histograms, line graphs, pie graphs, stemplots and the like. In an example, bar graph is a graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. In addition, the bars can be plotted vertically or horizontally. In general, box plot is a method for graphically depicting groups of numerical data through their quartiles. In general,
25 histogram is an accurate representation of distribution of numerical data. In general, line graph is a type of chart that displays information as a series of data points called 'markers' connected by straight line segments. In general, pie graph is a circular statistical graphic that is divided into slices to illustrate numerical proportion. In
13

general, stemplot is a way to plot data where data is split into stems (the largest digit) and leaves (the smallest digits).
[0042] Further, the integrity detection system 204 maps the one or more set of graphs created at the integrity detection system 204 with one or more pre-defined set of 5 graphs. The mapping is done with the one or more pre-defined set of graphs to identify deviation in the measured set of data from a pre-defined threshold level set in the one or more pre-defined set of graphs. The one or more pre-defined set of graphs includes optimal values that must be maintained in the received set of data associated with the one or more transmission towers 104. 10 [0043] In an example, the one or more set of graphs created at the integrity detection system 204 are mapped with the one or more pre-defined set of graphs. The one or more pre-defined set of graphs include the pre-defined threshold level that must be maintained in the one or more set of graphs created at the integrity detection system 204. The values in the one or more set of graphs created are mapped with the pre-15 defined threshold level set in the one or more pre-defined set of graphs.
[0044] Furthermore, the deviation is identified to detect detrimental effects on structural integrity of the one or more transmission towers 104. In an embodiment of the present disclosure, the one or more set of graphs created are mapped with the one or more pre-defined set of graphs by the user manually. 20 [0045] In an embodiment of the present disclosure, the one or more set of graphs created are mapped with the one or more pre-defined set of graphs by the integrity detection system 204. The integrity detection system 204 use machine learning algorithms to map the one or more set of graphs with the one or more pre-defined set of graphs. In an embodiment of the present disclosure, the integrity detection system 25 204 use suitable algorithms to map the one or more set of graphs with the one or more pre-defined set of graphs.
[0046] The detrimental effects include at least one of wear and tear, tilting and bending of the one or more transmission towers 104 or power line installed between
14

the one or more transmission towers 104. Moreover, detrimental effects include impact of wind, strain, pressure, or theft of the one or more transmission towers 104 or power line installed between the one or more transmission towers 104. In addition, detrimental effects include cascading effect during fall of at least any one of the one 5 or more transmission towers 104.
[0047] In an example, detrimental effects include normal wear and tear that occurs due to course of time. In an example, detrimental effects include theft of power or components installed on the one or more transmission towers 104 and power line installed between the one or more transmission towers 104. In another example, the 10 one or more transmission towers 104 are connected to each other by power line. Suppose, any transmission tower of the one or more transmission towers 104 collapses. The collapsed transmission tower also collapses transmission towers adjacent to the collapsed transmission tower of the one or more transmission towers 104. 15 [0048] Moreover, the integrity detection system 204 predicts detrimental effects on structural integrity of the one or more transmission towers 104. The detrimental effects are predicted by mapping the one or more set of graphs created at the integrity detection system 204 with the one or more pre-defined set of graphs. The prediction is done to prevent detrimental effects on structural integrity of the one or more 20 transmission towers 104 in near future.
[0049] In an embodiment of the present disclosure, the mapping is done to stop detrimental effects that may happen to structural integrity of the one or more transmission towers 104. In an example, increase in deviation of the pre-defined threshold level in the one or more set of graphs created with the one or more pre-25 defined set of graphs gives us prediction that detrimental effects may occur on the one or more transmission towers 104.
[0050] In an example, suppose if the pre-defined threshold level of speed of wind in the one or more pre-defined set of graphs is about 50 Km/hr. The one or more set of
15

graphs created at the integrity detection system 204 shows speed of wind at 70 Km/hr. The mapping of the one or more set of graphs created with the pre-defined threshold level in the one or more pre-defined set of graphs detects deviation of 20 Km/hr. Further, the integrity detection system 204 predicts detrimental effects that 5 may happen due to deviation in the pre-defined threshold level.
[0051] Further, the integrity detection system 204 is connected with the server 206. In addition, the server 206 performs all tasks related to detecting and predicting detrimental effects on structural integrity of the one or more transmission towers 104. The server 206 receives requests from the integrity detection system 204 and
10 processes the requests. The server 206 responds to the requests in an efficient manner. In an example, the integrity detection system 204 is present inside the server 206. In another example, the server 206 is remotely located. In an embodiment of the present disclosure, the server 206 is a cloud server. In another embodiment of the present disclosure, the server 206 is not limited to the cloud server. The analysis of
15 data, storing data and the like is done on the cloud server. The server 206 handles each operation and task performed by the integrity detection system 204. The server 206 stores one or more instructions for performing the various operations of the integrity detection system 204. [0052] In addition, the server 206 includes the database 208. The database 208 is the
20 storage location of all the data associated with the integrity detection system 204. The database 208 is used to store data related to the one or more transmission towers 104. In an embodiment of the present disclosure, the integrity detection system 204 stores the set of data associated with the one or more IoT based sensors 102 in the database 208 for future requirement.
25 [0053] In an embodiment of the present disclosure, one or more cameras are installed on the one or more transmission towers 104. Also, one or more cameras are installed on power line installed between the one or more transmission towers 104. Further, field of view of the one or more cameras installed is towards the one or more
16

transmission towers 104. The one or more cameras are installed to detect visual detrimental effects on structural integrity of the one or more transmission towers 104. In an embodiment of the present disclosure, the one or more cameras include night vision camera and the like. 5 [0054] In an embodiment of the present disclosure, a rank is assigned to the one or more set of graphs created at the integrity detection system 204. The rank is assigned based on deviation identified from the pre-defined threshold level from in the one or more pre-defined set of graphs. In addition, the lowest rank refers to highest deviation from the pre-defined threshold level. Also, the highest rank refers to the
10 lowest deviation from the pre-defined threshold level.
[0055] In an embodiment of the present disclosure, the rank is a level of standards assigned to the one or more set of graphs created at the integrity detection system 204. In an example, the rank helps to get better prediction of detrimental effects on structural integrity of the one or more transmission towers 104.
15 [0056] In an embodiment of the present disclosure, the integrity detection system 204 is updated with the set of data, the one or more graphs created and the pre-defined set of graphs. The updating is done by the integrity detection system 204 in real time. In another embodiment of the present disclosure, the set of data, the one or more graphs and the pre-defined set of graphs are stored at the integrity detection system 204. The
20 storing is done by the integrity detection system 204 in real time.
[0057] In an embodiment of the present disclosure, the set of data, the one or more graphs and the pre-defined set of graphs are analyzed at the integrity detection system 204. The analyzing is done by the integrity detection system 204 to verify acceptability of the set of data. The analyzing is done by verifying that values
25 obtained in the one or more graphs are above than the pre-defined threshold level set in the pre-defined set of graphs.
[0058] FIG. 3 illustrates a graph 300 of temperature with respect to date that is stored in one or more pre-defined set of graphs, in accordance with various embodiments of
17

the present disclosure. The graph 300 depicts variation of temperature with respect to
date. The graph 300 depicts temperature on Y-axis and date on X-axis.
[0059] FIG. 4 illustrates a graph 400 of humidity with respect to date that is stored
in the one or more pre-defined set of graphs, in accordance with various embodiments
of the present disclosure. The graph 400 depicts variation of humidity with respect to
date. The graph 400 depicts humidity on Y-axis and date on X-axis.
[0060] FIG. 5 illustrates a graph 500 of stress with respect to date that is stored in the
one or more pre-defined set of graphs, in accordance with various embodiments of
the present disclosure. The graph 500 depicts variation of stress with respect to date.
The graph 500 depicts stress on Y-axis and date on X-axis.
[0061] FIG. 6 illustrates a graph 600 of x-axis displacement with respect to date that
is stored in the one or more pre-defined set of graphs, in accordance with various
embodiments of the present disclosure. The graph 600 depicts variation of x-axis
displacement with respect to date. The graph 600 depicts x-axis displacement on Y-
axis and date on X-axis.
[0062] FIG. 7 illustrates a graph 700 of y-axis displacement with respect to date that
is stored in the one or more pre-defined set of graphs, in accordance with various
embodiments of the present disclosure. The graph 700 depicts variation of y-axis
displacement with respect to date. The graph 700 depicts y-axis displacement on Y-
axis and date on X-axis.
[0063] FIG. 8 illustrates a graph 800 of z-axis displacement with respect to date that
is stored in the one or more pre-defined set of graphs, in accordance with various
embodiments of the present disclosure. The graph 800 depicts variation of z-axis
displacement with respect to date. The graph 800 depicts z-axis displacement on Y-
axis and date on X-axis.

CLAIMS

A method for detecting and preventing detrimental effects on structural
integrity of one or more transmission towers (104), the method comprising:
installing one or more IoT based sensors (102) on each transmission tower of the one or more transmission towers (104) and power line installed between the one or more transmission towers (104), wherein the one or more IoT based sensors (102) are installed to measure a set of data associated with the one or more IoT based sensors (102), wherein the set of data is measured based on one or more pre-defined parameters, wherein the one or more pre-defined parameters comprise of at least one of temperature, humidity, stress, X-axis displacement, Y-axis displacement, and Z-axis displacement of the one or more transmission towers (104);
measuring the set of data associated with the one or more IoT based sensors (102), wherein the set of data is measured by the one or more IoT based sensors (102), wherein the set of data is measured periodically after a pre-defined time interval, wherein the set of data is measured and forwarded to a data accumulator (106);
sending the set of data associated with the one or more IoT based sensors (102) to an integrity detection system (204), wherein the set of data is sent to the integrity detection system (204) by the data accumulator (106) through a communication network (202), wherein the set of data is sent to the integrity detection system (204) to create one or more set of graphs based on the set of data;
creating the one or more set of graphs at the integrity detection system (204) in real-time, wherein the one or more set of graphs are created using the set of

data measured by the one or more IoT based sensors (102), wherein the one or more set of graphs are created for mapping at the integrity detection system (204);
mapping the one or more set of graphs created at the integrity detection system (204) with one or more pre-defined set of graphs, wherein the mapping is done with the one or more pre-defined set of graphs to identify deviation in the measured set of data from a pre-defined threshold level set in the one or more pre-defined set of graphs, wherein the deviation is identified to detect detrimental effects on structural integrity of the one or more transmission towers (104), wherein the detrimental effects comprise of at least one of wear and tear, tilting and bending of the one or more transmission towers (104), impact of wind, strain, pressure or theft of the one or more transmission towers (104) and cascading effect during fall of at least one of the one or more transmission towers (104); and
predicting detrimental effects on structural integrity of the one or more transmission towers (104), wherein the detrimental effects on the structural integrity of the one or more transmission towers (104) are predicted by mapping the one or more set of graphs created at the integrity detection system (204) with the one or more pre-defined set of graphs, wherein the prediction is done to prevent the detrimental effects on the structural integrity of the one or more transmission towers (104) in near future.
2. The method as recited in claim 1, wherein the set of data is measured based on the one or more pre-defined parameters, wherein the set of data is measured to detect and prevent detrimental effects on structural integrity of the one or more transmission towers (104) and power line installed between the one or more transmission towers (104).
3. The method as recited in claim 1, wherein the one or more IoT based sensors (102) comprise of at least one of strain gauge sensor, accelerometer, tiltmeter, anemometer, wind vanes, temperature sensor, humidity sensor, rain sensor, current sensor, tension meter, altimeter, infra-red sensor and barometric pressure sensor.

4. The method as recited in claim 1, wherein the one or more pre-defined set of graphs comprise of optimal values that must be maintained in the received set of data associated with the one or more transmission towers (104).
5. The method as recited in claim 1, further comprising updating, at the integrity detection system (204), the set of data, the one or more set of graphs and the one or more pre-defined set of graphs, wherein updating is done in real time.
6. The method as recited in claim 1, further comprising storing, at the integrity detection system (204), the set of data, the one or more set of graphs and the one or more pre-defined set of graphs, wherein storing is done in real time.
7. The method as recited in claim 1, further comprising analyzing, at the integrity detection system (204), the one or more set of graphs and the one or more pre-defined set of graphs, wherein analyzing is done to verify acceptability of the set of data, wherein analyzing is done by verifying values obtained in the one or more set of graphs are above than the pre-defined threshold level set in the one or more pre-defined set of graphs.