DESC:FIELD
The present disclosure relates to the field of railway track monitoring systems.
BACKGROUND
The background information herein below relates to the present disclosure but is not necessarily prior art.

Typically, railway tracks are manually inspected, i.e. by walking along the tracks to visually identify a problem. Alternatively, an operator inspects the condition of railway tracks by watching video/images captured from one or more image capturing devices located in the vicinity of the tracks. The above-mentioned techniques require meticulous visual inspection of the railway tracks, and therefore, are tedious, time consuming, and laborious. Additionally, the abovementioned techniques also lower the chances and speed of detecting abnormalities or breakages on a railway track due to the associated risk of human error.

Further, conventionally, various other techniques are used for monitoring the condition of railway tracks to detect the presence of breakages or fractures in the rails. One common technique used for detecting the presence of breakages or fractures in the rails is the use of electric track circuits. Electrical track circuits are disposed on a predefined section of tracks to be inspected such that the lack of electrical continuity in the circuits serves as an indication of presence of breakages.

However, one problem associated with these electric track circuits is that they lack accuracy since a significant partial breakage in the rail could still provide sufficient electrical path to avoid detection of breakages. Additionally, the conventional electric track circuits are unable to provide precise location of breakage to a resolution less than the entire length which is typically several miles.

There is, therefore, felt a need to provide a railway track health monitoring system that alleviates the above mentioned drawbacks of the conventional techniques.
OBJECTS
Some of the objects of the present disclosure, which at least one embodiment herein satisfies, are as follows:

An object of the present disclosure is to provide a railway track health monitoring system.

Another object of the present disclosure is to provide a railway track health monitoring system that is capable of identifying defects in the railway track.

Yet another object of the present disclosure is to provide a railway track health monitoring system that precisely determines the location of defects in the railway track.

Still another object of the present disclosure is to provide a railway track health monitoring system that is accurate.

Still another object of the present disclosure is to provide a railway track health monitoring system that has simple configuration.

Still another object of the present disclosure is to provide a railway track health monitoring system that requires minimal human intervention.

Other objects and advantages of the present disclosure will be more apparent from the following description, which is not intended to limit the scope of the present disclosure.

SUMMARY
The present disclosure envisages a railway track health monitoring system. The system comprises a plurality of cluster heads, a plurality of sensor nodes, and a plurality of station servers. Each cluster head is located within an area of responsibility and has a unique digital identifier referred to as cluster head identifier. The cluster heads are disposed at different locations on a railway track between two adjacent railway stations. The sensor nodes are associated with a cluster head from the plurality of cluster heads. Each of the sensor nodes has a unique identifier referred to as sensor identifier and is disposed on the railway track. Each sensor node comprises a sensor, a microcontroller unit, and a first communication module. The sensor is configured to measure the strain and the stress in the track. The sensor is further configured to generate readings based on the measured strain and stress. The microcontroller unit is configured to cooperate with the sensor to receive the generated readings, and is further configured to analyze the readings to generate a multi-bit frame indicating the health of the track. The multi-bit frame comprises three bits for indicating the health of the railway track. In an embodiment, the three bits are configured to indicate the following:
• 111 for indicating that the track is healthy;
• 001 for indicating a fault in the track; and
• 100 for indicating an error in transmission.
The three bit binary values mentioned above are variables.
In another embodiment, the multi-bit frame comprises:
• at least two check bits for indicating an error in transmission;
• at least two bits for indicating the sensor identifier; and
• at least three output bits for indicating the health of the track.

The first communication module is configured to cooperate with the microcontroller unit to receive the multi-bit frame, and is further configured to communicate the multi-bit frame with the cluster head. In an embodiment, each of the cluster heads is configured to receive and aggregate the multi-bit frames received from the plurality of sensor nodes to generate aggregated output bit streams. Each of the aggregated output bit streams comprises:
• at least two check bits for indicating an error in transmission;
• at least two bits for indicating the sensor identifier;
• at least three bits for indicating the cluster head identifier; and
• at least three bits for indicating the health of the track associated with the sensor identifier of the cluster head.
In an embodiment, the first communication module is selected from the group consisting of a wifi module, a bluetooth module, a BLE module, an NFC module, a WiFi module, and a ZigBee module.
The station servers are located in a railway station associated with multiple areas of responsibility. Each station server is communicatively coupled to cluster heads disposed on either sides and within the areas of responsibility of the railway station in which it is located, wherein the areas of responsibility of two adjacent railway stations are configured to overlap. In an embodiment, the cluster head is configured to communicate the aggregated output bit streams with the station server. In an embodiment, the cluster head is configured to communicate with the station server via fibre optic cables. In another embodiment, the cluster head is configured to communicate with the station server by wireless communication means.

In an embodiment, each of the stations includes the station server and a plurality of user devices. The station server includes a repository, an analyzing unit, an alerting unit, and a second communication module. The repository is configured to store:
• a pre-determined set of rules;
• a terrain map of the areas of responsibility indicating railway track within the areas of responsibility and cluster head and sensor positions on the railway track; and
• a lookup table having a list of cluster head identifiers, location of cluster heads associated with the cluster head identifiers, and identifiers of sensor nodes associated with each of the cluster heads.

In an embodiment, the analyzing unit is configured to cooperate with the repository to receive the terrain map, and is further configured to receive the aggregated output bit streams communicated from the cluster heads located within the areas of responsibility. The analyzing unit is also configured to analyze the received aggregated output bit streams to detect faults in the railway track. The alerting unit is configured to cooperate with the analyzing unit to generate an alert signal when a fault is detected. The second communication module is configured to cooperate with the with the analyzing unit and the alerting unit to receive and communicate the analyzed data and send the alert signal to the headquarters for facilitating repair and maintenance of the detected faulty railway track.

In an embodiment, each of the user devices is configured to cooperate with the server to receive the terrain map and the analyzed data, and is further configured to superimpose the analyzed data on the terrain maps.

In an embodiment, each of the user devices is configured to cooperate with the repository to display the superimposed data on its display screen based on the pre-determined set of rules. The displayed data comprises a plurality of cluster heads located on the railway track within the areas of responsibility of the station and sensor nodes associated with each of the cluster heads. The sensor nodes are indicated by:
• green color when the track is healthy;
• red color when the track is faulty;
• yellow color when a train is traversing through the track; and
• blue color when the track is under repair/maintenance.

In an alternate embodiment, the user device is further configured to cooperate with the repository to display a table comprising a list of the cluster head identifiers, location of cluster heads associated with the cluster head identifiers, and identifiers of sensor nodes associated with each of the cluster heads.

In an embodiment, the system further includes an advanced warning unit disposed in trains. The advanced warning unit comprises a frontal detection system, a plurality of track detection sensors, a third communication module, an emergency unit, and a display unit. The frontal detection system is disposed on the engine of the trains and comprises an image capturing unit and an image detection and recognition unit. The image capturing unit is configured to capture images of animate and inanimate objects present on the track. The image detection and recognition unit is configured to cooperate with the image capturing unit to receive the captured images, and is further configured to process the received captured images. The track detection sensors are mounted on the train and are configured to monitor the condition of the tracks in real time and generate information relating to cracks on the tracks, image processing data of the fishplates, condition of the gravel, location coordinates, and orientation of the sleeper. The third communication module is configured to receive the aggregated output bit streams from cluster heads on the route of the train. The emergency unit is configured to cooperate with the frontal detection system, the track detection sensors, and the third communication module to receive and analyze the processed images, the generated track information, and the aggregated output bit streams respectively to detect faults in the tracks, and is further configured to generate an emergency halt signal to halt the train upon detecting a fault in the tracks. The display unit is configured to cooperate with the frontal detection system, the track detection sensors, and the third communication module to receive and display the processed images, the generated track information, and the aggregated output bit streams respectively.

In an embodiment, each of the sensor nodes comprises a battery configured to supply power to the sensor, the microcontroller unit, and the first communication module.

Advantageously, the cluster heads are powered from a renewable energy source such as solar energy and wind energy.

Advantageously, each of the sensor nodes is packaged in an industrial grade, all weather and tamper proof casing.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWING
A railway track health monitoring system will now be described with reference to the non-limiting, accompanying drawing, in which:
Figure 1 illustrates a schematic block diagram of a railway track health monitoring system.
Figure 2 illustrates a schematic block diagram of a sensor node of the system of Figure 1.
Figure 3 illustrates a schematic block diagram of a railway station of the system of Figure 1.
Figure 4 illustrates a schematic block diagram of an advanced warning unit of the system of Figure 1.
LIST OF REFERENCE NUMERALS USED IN DETAILED DESCRIPTION AND DRAWING
1000 – System
100 – Area of responsibility
102a-e – Sensor nodes
104 – Cluster head
106 – Railway track
108 – Station server
110 – Railway station
202 – Sensor
204 – Microcontroller unit
206 – First communication module
208 – Battery
302 – Repository
304 – Analyzing unit
306 – Alerting unit
308 – Second communication module
310 – User device
400 – Advanced warning unit
402 – Frontal detection system
404 – Image capturing unit
406 – Image detection and recognition unit
408 – Track detection sensors
410 – Third communication module
412 – Display unit
414 – Emergency unit
DETAILED DESCRIPTION
Embodiments, of the present disclosure, will now be described with reference to the accompanying drawing.
Embodiments are provided so as to thoroughly and fully convey the scope of the present disclosure to the person skilled in the art. Numerous details, are set forth, relating to specific components, and methods, to provide a complete understanding of embodiments of the present disclosure. It will be apparent to the person skilled in the art that the details provided in the embodiments should not be construed to limit the scope of the present disclosure. In some embodiments, well-known processes, well-known apparatus structures, and well-known techniques are not described in detail.
The terminology used, in the present disclosure, is only for the purpose of explaining a particular embodiment and such terminology shall not be considered to limit the scope of the present disclosure. As used in the present disclosure, the forms "a,” "an," and "the" may be intended to include the plural forms as well, unless the context clearly suggests otherwise. The terms "comprises," "comprising," “including,” and “having,” are open ended transitional phrases and therefore specify the presence of stated features, integers, steps, operations, elements, modules, units and/or components, but do not forbid the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. The particular order of steps disclosed in the method and process of the present disclosure is not to be construed as necessarily requiring their performance as described or illustrated. It is also to be understood that additional or alternative steps may be employed.
When an element is referred to as being "mounted on," “engaged to,” "connected to," or "coupled to" another element, it may be directly on, engaged, connected or coupled to the other element. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed elements.
The terms first, second, third, etc., should not be construed to limit the scope of the present disclosure as the aforementioned terms may be only used to distinguish one element, component, region, layer or section from another component, region, layer or section. Terms such as first, second, third etc., when used herein do not imply a specific sequence or order unless clearly suggested by the present disclosure.
Terms such as “inner,” “outer,” "beneath," "below," "lower," "above," "upper," and the like, may be used in the present disclosure to describe relationships between different elements as depicted from the figures.
a railway track health monitoring system (hereinafter referred as “system 1000”), of the present disclosure, is now being described with reference to Figure 1 through Figure 4.

Referring to Figure 1, the system 1000 comprises a plurality of cluster heads 104, a plurality of sensor nodes 102a-e, and a plurality of station servers 108. Each cluster head 104 is located within an area of responsibility and has a unique digital identifier referred to as cluster head identifier. The cluster heads 104 are disposed at different locations on a railway track 106 between two adjacent railway stations 110. The sensor nodes 102a-e are associated with a cluster head 104 from the plurality of cluster heads 104. Referring to Figure 2, each of the sensor nodes 102a-e has a unique identifier referred to as sensor identifier and is disposed on the railway track 106. Each sensor node 102a-e comprises a sensor 202, a microcontroller unit 204, and a first communication module 206. The sensor 202 is configured to measure the strain and the stress in the railway track 106. The sensor 202 is further configured to generate readings based on the measured strain and stress. The microcontroller unit 204 is configured to cooperate with the sensor 202 to receive the generated readings, and is further configured to analyze the readings to generate a multi-bit frame indicating the health of the track 106. The multi-bit frame comprises three bits for indicating the health of the railway track 106. In an embodiment, the three bits are configured to indicate the following:
• 111 for indicating that the track 106 is healthy;
• 001 for indicating a fault in the track 106; and
• 100 for indicating an error in transmission.
The three bit binary values mentioned above are variables.

In another embodiment, the multi-bit frame comprises:
• at least two check bits for indicating an error in transmission;
• at least two bits for indicating the sensor identifier; and
• at least three output bits for indicating the health of the track 106.

The first communication module 206 is configured to cooperate with the microcontroller unit 204 to receive the multi-bit frame, and is further configured to communicate the multi-bit frame with the cluster head 104. In an embodiment, each of the cluster heads 104 is configured to receive and aggregate the multi-bit frames received from the plurality of sensor nodes 102a-e to generate aggregated output bit streams. Each of the aggregated output bit streams comprises:
• at least two check bits for indicating an error in transmission;
• at least two bits for indicating the sensor identifier;
• at least three bits for indicating the cluster head identifier; and
• at least three bits for indicating the health of the track 106 associated with the sensor identifier of the cluster head 104.

Advantageously, the first communication module 206 is selected from the group consisting of a wifi module, a bluetooth module, a BLE module, an NFC module, a WiFi module, and a ZigBee module. In another embodiment, the sensor nodes 102a-e are configured to communicate with the cluster head 104 using round robin/TDMA protocol.
The station servers 108 are located in a railway station 110 associated with multiple areas of responsibility 100. Each station server 108 is communicatively coupled to cluster heads 104 disposed on either sides and within the areas of responsibility 100 of the railway station 110 in which it is located, wherein areas of responsibility (100) of two adjacent railway stations are configured to overlap. In an embodiment, the cluster head 104 is configured to communicate the aggregated output bit streams with the station server 108 via fibre optic cables. In another embodiment, the cluster head 104 is configured to communicate the aggregated output bit streams with the station server 108 by wireless communication means.

Referring to an embodiment of Figure 3, each of the stations 110 includes the station server 108 and a plurality of user devices 310. The station server 108 includes a repository 302, an analyzing unit 304, an alerting unit 306, and a second communication module 308. The repository 302 is configured to store:
• a pre-determined set of rules;
• a terrain map of the areas of responsibility indicating railway track 106 within the areas of responsibility 100 and cluster head 104 and sensor node positions on the railway track 106; and
• a lookup table having a list of cluster head identifiers, location of cluster heads 104 associated with the cluster head identifiers, and identifiers of sensor nodes 102a-e associated with each of the cluster heads 104.

In an embodiment, the analyzing unit 304 is configured to cooperate with the repository 302 to receive the terrain map, and is further configured to receive the aggregated output bit streams communicated from the cluster heads 104 located within the areas of responsibility 100. The analyzing unit 304 is also configured to analyze the received aggregated output bit streams to detect faults in the railway track 106. The alerting unit 306 is configured to cooperate with the analyzing unit 304 to generate an alert signal when a fault is detected. The second communication module 308 is configured to cooperate with the analyzing unit 304 and the alerting unit 306 to receive and communicate said analyzed data and send the alert signal to the headquarters for facilitating repair and maintenance of the detected faulty railway track 106.

In an embodiment, each of the user devices 310 is configured to cooperate with the server 108 to receive the terrain map and the analyzed data, and is further configured to superimpose the analyzed data on the terrain maps.

In an embodiment, the user devices 310 is configured to cooperate with the repository 302 to display the superimposed data on its display screen based on the pre-determined set of rules. The displayed data comprises a plurality of cluster heads 104 located on the railway track 106 within the areas of responsibility 100 of the station 110 and sensor nodes associated with each of the cluster heads104. The sensor nodes 102a-e are indicated by:
• green color when the track 106 is healthy;
• red color when the track 106 is faulty;
• yellow color when a train is traversing through the track 106; and
• blue color when the track 106 is under repair/maintenance.

In an alternate embodiment, the user device 310 is further configured to cooperate with the repository 302 to display a table comprising a list of the cluster head identifiers, location of cluster heads 104 associated with the cluster head identifiers, and identifiers of sensor nodes 102a-e associated with each of the cluster heads 104.

In an embodiment, the system 1000 further includes an advanced warning unit 400 disposed in trains. Referring to Figure 4, the advanced warning unit 400 comprises a frontal detection system 402, a plurality of track detection sensors 408, a third communication module 410, an emergency unit 414, and a display unit 412. The frontal detection system 402 is disposed on the engine of the trains and comprises an image capturing unit 404 and an image detection and recognition unit 406. The image capturing unit 404 is configured to capture images of animate and inanimate objects present on the track 106. In an embodiment, the image capturing unit 404 is LIDAR camera. In another embodiment, the image capturing unit 404 is a thermal imaging camera. The image detection and recognition unit 406 is configured to cooperate with the image capturing unit 404 to receive the captured images, and is further configured to process the received captured images. The track detection sensors 408 are mounted on the train and are configured to monitor the condition of the tracks 106 in real time and generate information relating to cracks on the tracks 106, image processing data of the fishplates, condition of the gravel, location coordinates, and orientation of the sleeper. The third communication module 410 is configured to receive the aggregated output bit streams from cluster heads 104 on the route of the train. The emergency unit 414 is configured to cooperate with the frontal detection system 402, the track detection sensors 408, and the third communication module 410 to receive and analyze the processed images, the generated track information, and the aggregated output bit streams respectively to detect faults in the tracks 106, and is further configured to generate an emergency halt signal to halt the train upon detection of a fault. The display unit 412 is configured to cooperate with the frontal detection system 402, the track detection sensors 408, and the third communication module 410 to receive and display the processed images, the generated track information, and the aggregated output bit streams respectively.

In an embodiment, each of the sensor nodes 102a-e comprises a battery 208 configured to supply power to the sensor 202, the microcontroller unit 204, and the first communication module 206. In another embodiment, the cluster head 104 is configured to receive battery status data from the sensor nodes 102a-e, and is further configured to communicate the battery status data with the station server 108.

Advantageously, the cluster heads 104 are powered from a renewable energy source such as solar energy and wind energy.

Advantageously, each of the sensor nodes 102a-e is packaged in an industrial grade, all weather and tamper proof casing.
The foregoing description of the embodiments has been provided for purposes of illustration and not intended to limit the scope of the present disclosure. Individual components of a particular embodiment are generally not limited to that particular embodiment, but, are interchangeable. Such variations are not to be regarded as a departure from the present disclosure, and all such modifications are considered to be within the scope of the present disclosure.
TECHNICAL ADVANCEMENTS
The present disclosure described herein above has several technical advantages including, but not limited to, the realization of a railway track health monitoring system, that:
• is capable of identifying defects in the railway track;
• precisely determines the location of defects in the railway track;
• is accurate;
• requires minimal human intervention;
• has simple configuration; and
• provides a fast response.

The embodiments herein and the various features and advantageous details thereof are explained with reference to the non-limiting embodiments in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.

The foregoing description of the specific embodiments so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.

The use of the expression “at least” or “at least one” suggests the use of one or more elements or ingredients or quantities, as the use may be in the embodiment of the disclosure to achieve one or more of the desired objects or results.
Any discussion of documents, acts, materials, devices, articles or the like that has been included in this specification is solely for the purpose of providing a context for the disclosure. It is not to be taken as an admission that any or all of these matters form a part of the prior art base or were common general knowledge in the field relevant to the disclosure as it existed anywhere before the priority date of this application.

The numerical values mentioned for the various physical parameters, dimensions or quantities are only approximations and it is envisaged that the values higher/lower than the numerical values assigned to the parameters, dimensions or quantities fall within the scope of the disclosure, unless there is a statement in the specification specific to the contrary.

While considerable emphasis has been placed herein on the components and component parts of the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiment as well as other embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the disclosure and not as a limitation.

,CLAIMS:WE CLAIM:
1. A railway track health monitoring system (1000), said system (1000) comprising:
a. a plurality of cluster heads (104), each of said cluster heads (104) located within an area of responsibility (100) and having a unique digital identifier referred to as cluster head identifier, said cluster heads (104) being disposed at different locations on a railway track (106) between two adjacent railway stations (110);
b. a plurality of sensor nodes (102a-e) associated with each of said cluster heads (104), each of said sensor nodes (102a-e) having a unique identifier referred to as sensor identifier and disposed on the railway track (106), each of said sensor nodes (102a-e)comprising:
i. a sensor (202) configured to measure the strain and the stress in the track (106), and further configured to generate readings based on said measured strain and stress;
ii. a microcontroller unit (204) configured to cooperate with said sensor (202) to receive said generated readings, and further configured to analyze said readings to generate a multi-bit frame indicating the health of said track (106); and
iii. a first communication module (206) configured to cooperate with said microcontroller unit (204) to receive said multi-bit frame, and further configured to communicate said multi-bit frame with said cluster head (104), and
c. a plurality of station servers (108), each server (108) located in a railway station (110) associated with multiple areas of responsibility (100), each station server (108) communicatively coupled to cluster heads (104) disposed on either sides and within the areas of responsibility (100) of the railway station (110) in which it is located, wherein areas of responsibility (100) of two adjacent railway stations are configured to overlap.

2. The system as claimed in claim 1, wherein said multi-bit frame comprises three bits for indicating the health of the railway track (106) in the following combinations:
• 111 for indicating that the track (106) is healthy;
• 001 for indicating a fault in the track (106); and
• 100 for indicating an error in transmission.
wherein said three bit values are variables.

3. The system as claimed in claim 1, wherein said multi-bit frame comprises:
a. at least two check bits for indicating an error in transmission;
b. at least two bits for indicating the sensor identifier; and
c. at least three output bits for indicating the health of the track (106).

4. The system as claimed in claim 1, wherein each of said cluster heads (104) is configured to receive and aggregate said multi-bit frames received from said plurality of sensor nodes (102a-e) to generate aggregated output bit streams, each of said aggregated output bit streams comprises:
a. at least two check bits for indicating an error in transmission;
b. at least two bits for indicating the sensor identifier;
c. at least three bits for indicating the cluster head identifier; and
d. at least three bits for indicating the health of said track (106) associated with said sensor identifier of said cluster head.

5. The system as claimed in claim 1, wherein said cluster head (104) is configured to communicate said aggregated output bit streams with said station server (108).

6. The system as claimed in claim 1, wherein each of said stations (110) includes:
a. said station server (108) having:
i. a repository (302) configured to store:
1. a pre-determined set of rules;
2. a terrain map of said areas of responsibility, said terrain map indicating railway track within said areas of responsibility and cluster head and sensor positions on said railway track; and
3. a lookup table having a list of said cluster head identifiers, location of cluster heads associated with said cluster head identifiers, and identifiers of sensor nodes (102a-e) associated with each of said cluster heads (104),
ii. an analyzing unit (304) configured to cooperate with said repository (302) to receive said terrain map, and further configured to receive said aggregated output bit streams communicated from said cluster heads (104) located within said areas of responsibility (100), said analyzing unit (304) configured to analyze said received aggregated output bit streams to detect faults in the railway track (106);
iii. an alerting unit (306) configured to cooperate with said analyzing unit (304) to generate an alert signal when a fault is detected;
iv. a second communication module (308) configured to cooperate with said analyzing unit (304) and said alerting unit (306) to receive and communicate said analyzed data and send said alert signal to the headquarters for facilitating repair and maintenance of the detected faulty railway track (106).
b. a plurality of user devices (310), each of said user devices (310) configured to cooperate with said server (302) to receive said terrain map and said analyzed data, and further configured to superimpose said analyzed data on said terrain maps.

7. The system as claimed in claim 6, wherein each of said user devices (310) is configured to cooperate with said repository (302) to display said superimposed data on its display screen based on said pre-determined set of rules, said displayed data comprises:
a. a plurality of cluster heads (104) located on the railway track (106) within the areas of responsibility (100) of said station (110);
b. a plurality of sensor nodes (102a-e) associated with each of said cluster heads (104), said sensor nodes (102a-e) indicated by:
i. green color when the track (106) is healthy;
ii. red color when the track (106) is faulty;
iii. yellow color when a train is traversing through the track (106); and
iv. blue color when the track (106) is under repair/maintenance.

8. The system as claimed in claim 6, wherein each of said user devices (310) is further configured to cooperate with said repository (302) to display a table comprising list of said cluster head identifiers, location of cluster heads (104) associated with said cluster head identifiers, and identifiers of sensor nodes (102a-e) associated with each of said cluster heads (104).

9. The system as claimed in claim 1, wherein said system (1000) further includes an advanced warning unit (400) disposed in trains, said advanced warning unit (400) comprising:
a. a frontal detection system (402) disposed on the engine of the trains, said system (402) comprising:
i. an image capturing unit (404) configured to capture images of animate and inanimate objects present on the track (106); and
ii. an image detection and recognition unit (406) configured to cooperate with said image capturing unit (404) to receive said captured images, and further configured to process said received captured images.
b. a plurality of track detection sensors (408) mounted on the train, said track detection sensors (408) configured to monitor the condition of the tracks (106) in real time and generate information relating to cracks on the tracks (106), image processing data of the fishplates, condition of the gravel, location coordinates, and orientation of the sleeper;
c. a third communication module (410) configured to receive said aggregated output bit streams from cluster heads (104) on the route of the train;
d. an emergency unit (414) configured to cooperate with said frontal detection system (402), said track detection sensors (408), and said third communication module (410) to receive and analyze said processed images, said generated track information, and said aggregated output bit streams respectively to detect faults in said tracks (106), and further configured to generate an emergency halt signal to halt the train upon detection of a fault.
e. a display unit (412) configured to cooperate with said frontal detection system (402), said track detection sensors (408), and said third communication module (410) to receive and display said processed images, said generated track information, and said aggregated output bit streams respectively.

10. The system as claimed in claim 1, wherein each of said cluster heads (104) is powered from a renewable energy source such as solar energy and wind energy.

11. The system as claimed in claim 1, wherein each of said cluster heads (104) is configured to communicate with said station server (108) via fibre optic cables.

12. The system as claimed in claim 1, wherein each of said cluster heads (104) is configured to communicate with said station server (108) by wireless communication means.

13. The system as claimed in claim 1, wherein each of said sensor nodes (102a-e) is packaged in an industrial grade, all weather and tamper proof casing.

14. The system as claimed in claim 1, wherein said each of sensor nodes (102a-e) comprises a battery (208) configured to supply power to said sensor (202), said microcontroller unit (204), and said first communication module (206).

15. The system as claimed in claim 1, wherein said first communication module (206) is selected from the group consisting of a wifi module, a bluetooth module, a BLE module, an NFC module, a WiFi module, and a ZigBee module.