WO2022229788A1

WO2022229788A1 - Method and system for managing waste collection

Info

Publication number: WO2022229788A1
Application number: PCT/IB2022/053643
Authority: WO
Inventors: Mohan Saima; Rakesh Ramesh; Verma PRANAY; Suzuki Yasufumi
Original assignee: Hitachi, Ltd.
Priority date: 2021-04-29
Filing date: 2022-04-19
Publication date: 2022-11-03

Abstract

Embodiments of present disclosure relates to method and waste managing system for managing waste collection in an area. The waste managing system receives sensor data related to load collected by waste collection vehicle from each pick-up location and monitoring filling capacity of waste collection vehicle and time-window for load collection based on capacity of vehicle, sensor data, and pick-up profile. The waste managing system identifies first set of incidents associated with collected waste in the area and detects occurrence of second set of incidents based on data obtained from one or more external sources. Further, the waste managing system manages the waste collection in the area by providing alert and recommendation to user based on the first set of incidents, the second set of incidents, the pick-up profile, and predefined rules. Thus, the present disclosure manages door-to-door waste collection and reduces waste pollution by providing operation planning and incident management.

Description

TITLE: METHOD AND SYSTEM FOR MANAGING WASTE COLLECTION”

TECHNICAL FIELD

[0001] The present subject matter is related in general to waste management, more particularly, but not exclusively, the present subject matter relates to a method and system for managing waste collection.

BACKGROUND

[0002] Waste management may be defined as a process to manage waste from point of collecting the waste to recycling and monitoring the waste. The waste may be collected from one or more sources. The one or more sources may include households, institutes, markets, hotels, restaurants, street, and the like. Collecting waste efficiently from the one or more sources on time and providing the waste to a waste processing area or dump at landfills is essential. The waste is collected by- using transportation system such as, carts, trucks, trippers, lorries and so on. The collection of the waste mainly faces challenges with respect to waste that may be unpicked when the amount of waste generated is more, and also due to behavioural issues of driver of the transportation system or staff members of municipalities. For example, the driver may delay pickup of the waste from the area. Thus, resulting in pollution and foul smell in and around an area from where the waste is unpicked and thereby causing inconvenience to citizens in the area. Hence, it is required that the waste is collected from time to time without leaving unpicked waste from the one or more sources, transit the waste/garbage to the waste processing area or landfills and schedule the waste collection for efficient management of the waste in the area.

[0003] In conventional waste collection systems, waste is collected by pre-scheduling and deploying vehicles to collect the waste. In such conditions, the volume of the waste to be collected from each of the one or more sources in multiple localities may be known and the vehicles are designated to collect the waste according to the volume. However, there may be days where the weight or the volume of the waste may vary on daily basis to some extent. In such cases, the designated vehicle may have to make multiple trips to location of the one or more sources to collect the waste. Further, in some instances, the volume of the waste may increase. For example, consider it is a festival season or wedding season, in such cases the waste generated may be more and the vehicle designated for collecting the waste may be burdened due to overutilization of the vehicle. As shown in Figure 1, in scene 1, where the volume of waste to be collected is higher than usual, designated vehicle may reach the sources and may collect the waste as per its capacity. Since the volume is more than usual, there is certain volume of waste that is unpicked from scene 1 and is not sent to dump yard 100 for processing. For example, consider there is a migration distress where population in some localities is decreased. In such instances, the volume of waste to be collected may also decrease. As such, the designated vehicle may be underutilized and not be filled to its maximum capacity due to decrease in the waste. Figure 1 shows a second scene, where the volume of waste to be collected is lower than usual. The designated vehicle may reach the sources and collect the waste. Since the volume is lesser than usual, the vehicle is not completely filled with waste. Thus, the vehicle dedicated for collecting the waste may be under-utilized. Therefore, resource (such as, vehicle or municipal staff, and the like) utilization is not efficient in this scene and requires optimization for collecting the waste.

[0004] Also, some of the conventional waste collection systems teach to use smart waste containers with sensors to measure volume of such containers. The containers may be waste dumping bins or container onboarded onto forklift vehicles. Such conventional waste collection systems may implement cameras to estimate the volume of the waste dumped in the vehicles. However, these conventional systems cannot be implemented for door-to-door waste collection arrangement as they are dependent on forklift type vehicles for measuring the container weight and the waste needs to be collected in the smart container for measuring the waste weight. Also, in case when additional waste is dumped within carrier without using forklift mechanism, the conventional systems do not capture details on vehicle waste capacity status in real-time, including an optimal route plan for efficient collection of waste. These conventional waste collection systems do not consider abnormal instances to predict variation in the volume of the waste and schedule collection of the waste beforehand. Thus, resulting in underutilized or over-utilized of the dedicated vehicles, due to lack of knowledge of volume or weight of waste that is to be collected. [0005] The information disclosed in this background of the disclosure section is only for enhancement of understanding of the general background of the inven tion and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.

SUMMARY

[0006] In an embodiment, the present disclosure relates to a method for managing waste collection in an area. The method comprises receiving sensor data related to load of waste collected by a waste collection vehicle from each pick-up location of a plurality of pick-up locations in an area. The sensor data is received from one or more sensors associated with the -waste collection vehicle. Upon receiving the sensor data, the method comprises continuously monitoring a filling capacity of the waste collection vehicle, and a time-window for the load collection at each pick-up location of the plurality of pick-up locations in the area based on at least one of, a change in the load of waste collected by the waste collection vehicle, the sensor data, and a pick-up profile of each of the pick-up locations of the plurality of pick-up locations. The pick-up profile of each of the pick- up locations is generated based on at least one of demographic information of the area, environmental data, historical waste estimation of the area, and seasonality' data. Upon monitoring, the method comprises identifying a first set of incidents associated with the collected waste in the area from predefined set of first incidents based on the monitoring, a location of the waste collection vehicle obtained from the sensor data, and the pick-up profile of each of the pick-up location of the plurality of pick-up locations. Upon identifying the first set of incidents, the method comprises detecting occurrence of a second set of incidents based on data obtained from one or more external sources. Thereafter, the method comprises managing the waste collection in the area by providing at least one of an alert and recommendation to a user based on the first set of incidents, the second set of incidents, the pick-up profile of each of the pick-up location of the plurality of pick-up locations, and predefined rules.

[0007] In an embodiment, the present disclosure relates to a waste managing system for managing waste collection in an area. The waste managing system includes a processor and a memory' communicatively coupled to the processor. The memory stores processor-executable instructions, which on execution cause the processor to manage waste collection in the area. The waste managing system receives sensor data related to load of waste collected by a waste collection vehicle from each pick-up location of a plurality of pick-up locations in an area. The sensor data is received from one or more sensors associated with the waste collection vehicle. Upon receiving the sensor data, the waste managing system continuously monitors a filling capacity of the waste collection vehicle, and a time-window for the load collection at each pick-up location of the plurality of pick-up locations in the area based on at least one of, a change in the load of waste collected by the waste collection vehicle, the sensor data, and a pick-up profile of each of the pick- up locations of the plurality of pick-up locations. The pick-up profile of each of the pick-up locations is generated based on at least one of demographic information of the area, environmental data, historical waste estimation of the area, and seasonality data. Upon monitoring, the waste managing system identifies a first set of incidents associated with the collected waste in the area from predefined set of first incidents based on the monitoring, a location of the waste collection vehicle obtained from the sensor data, and the pick-up profile of each of the pick-up location of the plurality of pick-up locations. Upon identifying the first set of incidents, the waste managing system detects occurrence of a second set of incidents based on data obtained from one or more external sources. Upon detecting, the waste managing system manages the waste collection in the area by providing at least one of an alert and recommendation to a user based on the first set of incidents, the second set of incidents, the pick-up profile of each of the pick-up location of the plurality of pick-up locations, and predefined rules.

[0008] The foregoing summary is illustrative only and is not intended to be in any way limiting. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features will become apparent by reference to the drawings and the following detailed description.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS

[0009] The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate exemplary embodiments and, together with the description, serve to explain the disclosed principles. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The same numbers are used throughout the figures to reference like features and components. Some embodiments of system and/or methods in accordance with embodiments of the present subject matter are now described, by way of example only, and regarding the accompanying figures, in which:

[Figure 1] shows an exemplary scenario of waste collection using conventional techniques;

Figure 2 shows an exemplary environment for managing waste collection in an area, in accordance with some embodiments of the present disclosure;

Figure 3 shows a detailed block diagram of a waste managing system for managing waste collection in an area, in accordance with some embodiments of the present disclosure;

Figures 4a and 4b show exemplary embodiments for managing waste collection in an area, in accordance with some embodiments of the present disclosure;

Figure 5 illustrates a flowchart showing an exemplary method for managing waste collection in an area, in accordance with some embodiments of present disclosure; and

Figure 6 illustrates a block diagram of an exemplary computer system for implementing embodiments consistent with the present disclosure.

[0010] It should be appreciated by those skilled in the art that any block diagrams herein represent conceptual views of illustrative systems embodying the principles of the present subject matter. Similarly, it will be appreciated that any flow charts, flow diagrams, state transition diagrams, pseudo code, and the like represent various processes which may be substantially represented in computer readable medium and executed by a computer or processor, whether such computer or processor is explicitly shown.

DETAILED DESCRIPTION

[0011] In the present document, the word "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any embodiment or implementation of the present subject matter described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. [0012] While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however that it is not intended to limit the disclosure to the forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternative falling within the spirit and the scope of the disclosure.

[0013] The terms “comprises”, “comprising”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, device, or method that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or device or method. In other words, one or more elements in a system or apparatus proceeded by “comprises... a” does not, without more constraints, preclude the existence of other elements or additional elements in the system or method.

[0014] The terms “includes”, “including”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, device, or method that includes a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or device or method. In other words, one or more elements in a system or apparatus proceeded by “includes... a” does not, without more constraints, preclude the existence of other elements or additional elements in the system or method.

[0015] In the following detailed description of the embodiments of the disclosure, reference is made to the accompanying drawings that form a part hereof, and in which are shown by way of illustration specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense.

[0016] The present disclosure relates to a method and waste managing system for managing waste collection in an area. Generally, municipal waste management entities assigned for collecting waste of an area face challenges related to amount of waste to be collected as they do not have knowledge about the amount of waste that is generated from the area and are under constant pressure to clear the waste in a timely and efficient manner. Typically, an amount of waste generated on a day may vary based on various events such as, festival season, wedding season, seasonality changes and so on. In such conditions vehicle dedicated for collecting the waste for the area may either be overutilized or underutilized. To overcome this, the present disclosure manages the waste collection in the area by providing a door-to-door collection of the waste by collaborating with multiple waste collection vehicles. The waste managing system utilizes information received from sensors which are associated with the waste collection vehicle for estimating weight of the waste collected, GPS information, and profiles of pick-up locations of the area for managing the waste collection in the area. The waste managing system generates profile of pick-up locations of the area based on factors such as, demographic, seasonality, environment and so on, to manage the waste collection of the area on daily basis. Further, the waste managing system provides alert and recommendation to a user while managing the waste collection of the area. As a result, the waste managing system efficiently manages the waste collection of the area and improves utilization of the waste collection vehicle by providing recommendation and alert to the user.

[0017] Figure 2 shows an exemplary environment 200 for managing waste collection in an area. The exemplary environment 200 includes a waste managing system 201 connected to a waste collection vehicle 202, and one or more external sources (204₁, ...204_N, hereinafter referred as one or more external sources 204) via a communication network 205. A person skilled in the art would understand that Figure 2 is an exemplary environment displaying a single waste collection vehicle 202. However, the present embodiment may also include the waste managing system 201 connected to a plurality of waste collection vehicles (not shown in Figure 2) explicitly. In an embodiment, the waste managing system 201 may be implemented in an edge device in the waste collection vehicle 202. The edge device may include, but not limited to, smartphones. Human Machine Interface (HAH) and the like. The waste collection vehicle 202 may collect waste from a plurality of pick-up locations in an area. The waste collection vehicle 202 may include, but is not limited to, a truck, a high-sided open-top truck, a compactor truck, a tractor, an auto-rickshaw, and the like. The waste collection vehicle 202 may be associated with sensors 203 for sensing different parameters associated with the waste collection vehicle 202. The sensors 203 may include, but is not limited to, accelerometer, Global Positioning System (GPS), gyroscope, and the like. In an embodiment, the sensors 203 may be associated with an On-Board Unit (OBU) of the waste collection vehicle 202. In another embodiment, the sensors 203 may be in a mobile device associated with a driver of the waste collection vehicle 202. In an embodiment, the mobile device associated with the driver of the waste collection vehicle 202 may be provided by a logistic company or may be the mobile device of the driver. The one or more external sources 204 may include, but is not limited to, a camera, a video camera, a database, and the like. The waste managing system 201 may provide alert or recommendation to a user to manage the waste collection of the area. For example, citizen grievance, re-routing recommendation, plan rescheduling may be communicated with map suggestions to the user of the waste collection vehicle 202. The user may be the driver of the waste collection vehicle 202 or a municipality member. The municipality member may obtain the recommendation via a user interface of the waste managing system 201. The waste managing system 201 may include, but not limited to, a laptop computer, a desktop computer, a Personal Computer (PC), a notebook, a smartphone, a tablet, a server, a network server, a cloud-based server, and the like. Further, the waste managing system 201 may include a processor 206, I/O interface 207, and a memory 208. In some embodiments, the memory 208 may be communicatively coupled to the processor 206. The memory' 208 stores instructions, executable by the processor 206, which, on execution, may cause the waste managing system 201 to manage the waste collection in the area, as disclosed in the present disclosure.

[0018] In an embodiment, the communication network 205 may include, without limitation, a direct interconnection, Local Area Network (LAN), Wide Area Network (WAN), Controller Area Network (CAN), wireless network (e.g., using a Wireless Application Protocol), the Internet, and the like. The waste managing system 201 may be in communication with the waste collection vehicle 202 for managing the waste collection in the area by providing alert and recommendation to the user,

[0019] The area may include a plurality of pick-up locations. The pick-up locations are points/location from where the waste may be collected. For instance, the pick-up locations in a residential area may include various houses from where the waste is to be picked up. The pick-up locations may include, but is not limited to, houses, restaurants, grocery' shops, medical shops, and the like. The waste collection vehicle 202 collects waste from the area by collecting the waste from each pick-up locations of the area. Initially, the waste managing system 201 may generate a pick- up profile for each of the pick-up locations of the area. The pick-up profile is generated based on, but not limited to, demographic information of the area, environmental data, historical waste estimation of the area, seasonality data, and the like. The pick-up profile provides information about amount of waste to be collected at each pick-up location of the area, time to be taken for the waste collection and number of pick-up locations assigned for the waste collection vehicle 202 for the area.

[0020] During waste collection in the area, the waste managing system 201 may receive sensor data related to load of waste collected by the waste collection vehicle 202 from each pick-up location of the plurality of pick-up locations in the area. The sensor data is received from the sensors 203 associated with the waste collection vehicle 202. Upon receiving the sensor data, the waste managing system 201 may continuously monitors a filling capacity of the waste collection vehicle 202, and a time- window i.e., time taken by the waste collection vehicle 202 for collecting the load at each pick-up location in the area. The waste managing system 201 monitors the filing capacity based on change in the load of waste collected by the waste collection vehicle 202 at each pick-up location, the sensor data, and the pick-up profile of each of the pick-up locations of the plurality of pick-up locations generated earlier. In an embodiment, the waste managing system 201 may re-configure the pick-up profile of each of the pick-up location of the plurality of pick-up locations dynamically. For example, consider that a new restaurant is included in the area, in such a condition, the waste managing system 201 may reconfigure the pick-up profile for the area by including the new restaurant as one of the pick-up locations. The time taken by the waste collection vehicle 202 may be obtained based on the sensor data provided by the sensors 203. The change in the load of waste collected by the waste collection vehicle 202 is determined based on what is the weight of the waste collection vehicle 202 before collecting the waste from a pick-up location and what is the weight of the waste collection vehicle 202 after collecting the waste from the pick-up location. For example, consider the weight of the waste collection vehicle 202 is 3000 kilograms before collecting the waste from a point A, After collecting the waste from the point, A, the weight of the waste collection vehicle 202 is 3200 kilograms. As such, the change in the load of waste collected by the waste collection vehicle 202 is 200 kilograms. Particularly, the weight of the waste collection vehicle 202 is determined based on vibration data, of the waste collection vehicle 202 and dimensions of the waste collection vehicle 202. In an embodiment, the vibration of the waste collection vehicle 202 depends on varying load of the waste collected, route conditions of the area, and the driving behaviour of the driver of the waste collection vehicle 202. Upon monitoring, the waste managing system 201 identifies a first set of incidents associated with the collected waste in the area from predefined set of first incidents. The first set of incidents are identified based on the monitoring of the filing capacity of the waste collection vehicle 202, location of the waste collection vehicle 202 obtained from the sensor data, and the pick-up profile of each of the pick- up location of the plurality of pick-up locations. The predefined set of first incidents include, but not limited to, a missed pick-up location from the plurality of pick-up locations, an exceed in the capacity of the waste collection vehicle, an increase in the load of the waste collected, under- utilization of the waste collection v ehicle and an exceed in the time-window for the load collection. For example, consider the -waste collection vehicle 202 is dedicated to pick the wastes from points A, B and C. The driver of the waste collection vehicle 202 may miss to pick the waste from the point B. Similarly, consider the waste collection vehicle 202 needs to spend ten minutes at a pick- up location D to pick the waste. However, due to increase in the amount of waste at the pick-up location D, the driver of the waste collection vehicle 202 spends twenty minutes at the pick-up location D for collecting the waste. Further, the waste managing system 201 may detect occurrence of a second set of incidents based on data obtained from the one or more external sources 204. The data may include, but not limited to, environmental data, weather data, vehicle data, calendar data, media data, traffic data, and the like. In case of an occurrence of the second set of incidents, the waste managing system 201 may classify the second set of incidents into a predefined category of incidents. The predefined category of incidents comprises area incidents, route incidents and vehicle incidents. The area incidents may include, but is not limited to, migration of people, increase in population of the area, insertion/deduction of a commercial unit or a store, a house, and the like. The route incidents may include, but is not limited to, traffic jam, road blockage, road construction, and the like. The vehicle incidents may include, but is not limited to, vehicle breakdown, vehicle health hazard, and the like. For example, consider the waste collection vehicle 202 is dedicated to pick the wastes from points A, B and C via a given route. The route may be jammed due to heavy traffic and thus hindering the driver of the waste collection vehicle 202 from collecting the waste from the point B.

[0021] Particularly, the waste managing system 201 manages the waste collection by identifying the first set of incidents and the second set of incidents as one of long-term incidents and short- term incidents by monitoring occurrences of the first set of incidents and the second set of incidents for a predefined time period. The long-term incidents include, but is not limited to, population flow incident, traffic incident, missed waste pick-up location incident, underutilization of capacity of waste collection vehicle, overutilization of the capacity of the waste collection vehicle, and excess waste weight collection over a period of time. The short-term incidents include, but not limited to, breakdown of the waste collection vehicle 202, sensor displacement, excess waste weight collection, customer grievances and exhaustion of staff resources.

[0022] Upon detecting the incidents, the waste managing system 201 manages the waste collection in the area by providing at least one of an alert and recommendations to the user based on the first set of incidents, the second set of incidents, the pick-up profile of each of the pick-up location of the plurality of pick-up locations, and predefined rules. The predefined rules are related to the first set of incidents and the second set of incidents. The predefined rules may be instructions, recommendations provided to the driver of the waste collection vehicle 202 or the municipality staff members based on the first set of incidents and the second set of incidents. The alert may include, but is not limited to, a beep sound for indicating when a pick-up location is missed or when the time-window exceeds than allotted time-window, a text message indicating the capacity of the waste collection vehicle 202 is almost full, and the like. The recommendations may include, but is not limited to, recommending other pick-up locations when the capacity of the waste collection vehicle 202 is underutilized, recommending different route to the driver when there is a roadblock, and the like. Particularly, the waste managing system 201 initiates operation planning related to the waste collection vehicle 202 and incident management related to the waste collection vehicle 202 based on the identified occurrences of the long-term incidents and the short-term incidents, respectively.

[0023] The waste managing system 201 may provide recommendations related to but not limited to, resource planning for number of staff members, routing of at least one waste collection vehi cle, number of trips for the waste collection vehicle 202, route recommendation based on a priority assigned for pick-up locations and re-configuration of the pick-up profile of each of the pick-up location of the plurality of pick-up location of the area for the waste collection vehicle 202 by analysing the long-term incidents for the operation planning. For example, consider the capacity of the waste collection vehicle 202 is underutilized for over two months. In such ease, the waste managing system 201 may assign few more pick-up locations from another nearby area to the waste collection vehicle 202 to efficiently utilize the capacity of the waste collection vehicle 202. Further, the waste managing system 201 provides at least one of the alerts and the recommendation to the user by analysing the short-term incidents for incident planning. For example, consider the driver of the waste collection vehicle 202 receives a customer grievance regarding the waste not being collected from a pick-up location on previous day. In such case, the waste managing system 201 may recommend the driver of the waste collection vehicle 202 to collect the waste from that pick-up location on priority.

[0024] Figure 3 shows a detailed block diagram of a waste managing system for managing waste collection in an area, in accordance with some embodiments of the present disclosure.

[0025] Data 210 and one or more modules 209 in the memory 208 of the waste managing system 201 is described herein in detail.

[0026] In one implementation, one or more modules 209 may include, but are not limited to, a receiving module 301, a capacity monitoring module 302, an incident identification module 303, an incident detection module 304, a waste managing module 305, a profile generation module 306, and other modules 307 associated with the waste managing system 201.

[0027] In an embodiment, data 210 in the memory 208 may include sensor data 308, external sensor data 309, pick-up profile data 310, first set of incident data 311, second set of incident data 312, recommendation data 313, and other data 314 associated with the waste managing system 201

[0028] In an embodiment, the data 210 in the memory 208 may be processed by the one or more modules 209 of the waste managing system 201. The one or more modules 209 may be configured to perform the steps of the present disclosure using the data 210, for managing the waste collection in the area. In an embodiment, each of the one or more modul es 209 may be a hardware unit which may be outside the memory' 208 and coupled with the waste managing system 201. In an embodiment, the one or more modules 209 may be implemented as dedicated units and when implemented in such a manner, said modules may be configured with the functionality defined in the present disclosure to result in a novel hardware. As used herein, the term module may refer to an Application Specific Integrated Circuit (ASIC), an electronic circuit, a Field-Programmable Gate Arrays (FPGA), Programmable System-on-Chip (PSoC), a combinational logic circuit, and/or other suitable components that provide the described functionality.

[0029] One or more modules 209 of the waste managing system 201 functions to manage the waste collection in the area. The one or more modules 209 along with the data 210, may be implemented in any waste managing system 201 , for managing the waste collection in the area.

[0030] The sensor data 308 may include details related to load of waste collected by the waste collection vehicle 202 from each pick-up location of the plurality of pick-up locations in the area. The sensor data 308 also includes details related to real-time location of the waste collection vehicle 202.

[0031] The external sensor data 309 may include details related to, but not limited to, demographic information of the area, environmental data, historic waste estimate data, seasonality data, weather data, vehicle data, calendar data, media data, and traffic data. The external sensor data 309 may be obtained from one or more external sources 204 such as a camera, a video camera, and the like.

[0032] The pick-up profile data 310 may include information regarding the amount of waste generated and time taken for collecting the waste at each of the pick-up locations of the plurality of pick-up locations of the area.

[0033] The first set of incident data 311 may include information regarding incidents such as, missed pick-up location, exceed in the capacity of the waste collection vehicle 202, increase in the load of the waste collected, underutilization of the waste collection vehicle 202, and an exceed in the time-window for the load collection.

[0034] The second set of incident data 312 may include information regarding incidents such as breakdown of the waste collection vehicle 202, sensor displacement, traffic jam, roadblock, and customer grievances. [0035] The recommendation data 313 may include instructions/recommendations related to the first set of incidents and the second set of incidents which may be provided to the driver of the waste collection vehicle 202 or the municipality staff members for managing waste collection.

[0036] The other data 314 may store data, including temporary data and temporary files, generated by modules for performing the various functions of the waste managing system 201.

[0037] The receiving module 301 may receive the sensor data 308 related to the load of waste collected by the waste collection vehicle 202 from each pick-up location of the plurality of pick- up locations in an area. The sensor data is received from the sensors 203 associated with the waste collection vehicle 202. The load of waste collected by the waste collection vehicle 202 is calculated based on weight of the waste collection vehicle 202 before collecting the waste from a pick-up location of the plurality of locations and the weight of the waste collection vehicle 202 after collecting the waste from the pick-up location of the plurality of locations. Upon receiving the sensor data 308, the capacity' monitoring module 302 may continuously monitors the filling capacity of the waste collection vehicle 202, and a time-window for the load collection at each pick-up location of the plurality of pick-up locations in the area based on at least one of, the change in the load of waste collected by the waste collection vehicle, the sensor data, and the pick-up profile of each of the pick-up locations of the plurality of pick-up locations. The pick-up profile may be generated by profile generation module 306.

[0038] The profile generation module 306 generates the pick-up profile based on the demographic information of the area, environmental data, historical waste estimati on of the area, and seasonality data. The demographic information of the area may indicate number of people living in the area. The environmental data may indicate number of houses, shops, restaurants, and the like present in the area. The historical waste estimate may indicate information regarding the waste which is generated in the area. The seasonali ty data may indicate what may be the season of the year. In an embodiment, the profile generation module 306 may reconfigure the pick-up profile of each of the pick-up location of the plurality of pick-up locations dynamically based on one or more parameters. The one or more parameters may include, but is not limited to, the first set of incidents, the second set of incidents, restructuring of the area, and the monitoring of the capacity of the waste collection vehicle 202. The restructuring of the area may include, but is not limited to, inclusion/deduction of houses in the area, inclusion/ deduction of informal sectors, commercial units in the area, and the like. For example, when the waste collection vehicle 202 collects waste from an intermediate pick-up location between pick-up locations A and B over a period of time then the pick-up profile is reconfigured to include the intermediate pick-up location as one of the pick-up locations.

[0039] The incident identification module 303 identifies the first set of incidents associated with the collected waste in the area from predefined set of first incidents. The first set of incidents may be identified based on the monitoring of the filing capacity of the waste collection vehicle 202, the location of the waste collection vehicle 202 obtained from the sensor data, and the pick-up profile of each of the pick-up location of the plurality of pick-up locations. The first set of incidents may include, but is not limited to, increase in weight of the waste collected, under-utilization of the waste collection vehicle 202, exceeding time-window for the pick-up location, exceeding the capacity of the waste collection vehicle 202, and the like. Upon identifying, the incident detection module 304 may detect occurrence of the second set of incidents based on data obtained from the one or more external sources 204. The second set of incidents may include, but is not limited to, traffic or detection of congestion on road, identification of un-picked dump/waste, roadblock, and the like. The second set of incidents may be classified into the predefined category' of incidents such as, the area incidents, route incidents and vehicle incidents. Figure 4b shows the predefined categories in cluster form such as, cluster 0, cluster 1 and cluster 2. The cluster 0 may include incidents related to calendar data and traffic data. For example, consider the calendar data indicates that there is a festival today and the traffic data indicates heavy traffic due to festival. Thus, the waste collection vehicle 202 needs to collect more amount of waste due to the festival and such an incident may fall under cluster 0. The cluster 1 may include incidents related to road condition data and weather data. For example, consider the road condition data indicates that the road is uneven (not constructed properly), and the weather data indicates a heavy rainfall. Thus, the waste colieting vehicle 202 may need to take a different route due to the road condition and the heavy rainfall such incidents may fall under cluster 1. The cluster 2 may include incidents related to media data and other data. For example, consider the media data indicates migration of people from an area and the other data indicates decrease in number of people from the area due to migration. Thus, the amount of waste generated from that area maybe less due to migration and such incidents may fall under cluster 2. A person skilled in the art may understand that the number of clusters may vary depending on the type of data. Returning to Figure 3, in an embodiment, the area incidents, the route incidents, and the vehicle incidents may be identified by computing the data such as the calendar data, traffic data, weather data, environment data, media data and the like. An exemplary representation of the information computed for each of the area incidents, the route incidents and the vehicle incidents are shown in Tables 1, 2 and 3 given below.

Table 1

Table 2

Table 3

[0040] The area incidents inputs may include, but is not limited to, population in number, area in sq.km, net migration, and so on. The analysis for the area incidents is shown in equation 1 given below:

where,

Pt = Change in Population Bt = Live Berths Dt = Death records

Mt = Net migration during time interval (In-migration --- out-migration)

[0041] The route incidents inputs may include, but is not limited to, elevation, curvature (angle/radius), pavement, and so on. The analysis for the route incidents is shown in equation 2 given below:

where,

Vn = Number of vehicles Rest = Number of resource Dt = total Distance Pzt = Pavement type Fat = Resource Fatigueness [0042] The vehicle incidents input may include, but is not limited to, speed/altitude, weight, acceleration, GPS, and so on. The analysis of the vehicle incidents may include to calculate mileage impact and is shown in equations 3 and 4, given below:

where,

Wt = Weight of waste collection vehicle Tw = Time window

Vt = Type of waste collection vehicle Altt = Altitude of waste collection vehicle a = Age of waste collection vehicle

[0043] The incident detection module 304 may identify the first set of incidents and the second set of incidents as one of the long-term incidents and the short-term incidents by monitoring occurrences of the first set of incidents and the second set of incidents for a predefined time period. The long-term incidents may include, but not limited to, stoppage missed regularly of the pick-up location, under/over utilized waste collection vehicle 202, overload of the waste collection vehicle 202, excess weight to be picked up, environmental hazards and variation in revenue, for longer period of time. The short-term incidents may include, but not limited to, sudden breakdown of the waste collection vehicle 202, pilferage, health hazard of the waste collection vehicle 202, resource fatigue, sudden excess load, sensor displacement/faultiness, and so on.

[0044] The waste managing module 305 may initiate operation planning related to the waste collection vehicle 202 and incident management related to the waste collection vehicle 202 based on the identified occurrences of the long-term incidents and the short-term incidents. The long- term incidents are managed by performing operation planning and the short-term incidents are manged by performing incident planning. In an embodiment, when the operation planning is to be performed, event-based statistics may be generated. Patterns of variation on the sensor data may be visualized to generate the optimized resource plan. In an embodiment, when incident management is to be performed, evidence for the short-term incidents may be generated and context-aware mechanisms are implemented with image, other sensor data. The context awareness may be considered as a response mechanism to the context information obtained from the sensor data. Further, the waste managing module 305 manages the waste collection in the area by providing an alert and recommendation to the user via a user interface based on the first set of incidents, the second set of incidents, the pick-up profile of each of the pick-up location of the plurality of pick-up locations, and the predefined rules as shown m Figure 4a. For example, the alert may be provided to the driver of the waste collection vehicle 202 when the waste collection vehicle 202 is underutilized. The alert may be provided to a crew member/staff member when the driver misses a pick-up location and the like. Further, the waste managing module 305 may recommend the driver to change route and collect un-picked waste from location where dumping of waste is predicted to be higher than usual, recommending the driv er to change route of the waste collection vehicle 202 for waste collection because of congestion on road and so on. Thus, recommending the change in the route considering the priority of pick-up points based on waste generation forecast from at least historical data leads to faster collection of the waste over time and guarantees complete collection of waste within the route. In an embodiment, the user interface may indicate pre-defined routes and recommended route of the waste collection vehicle 202 to the user. The waste collection status of the waste collection vehicle 202 may also be indicated via the user interface. Real-time location of the waste collection vehicle 202 may also be shown in the user interface. Staff/crew member of the municipality may be provided with an option to provide recommendations based on the displayed analysis. For example, the crew member may recommend changing the route of the waste collection vehicl e 202 to pick waste from an area with higher influx. In an embodiment, an option to view the analysis over a period of time may also be provided. For example, the analysis and operation of the waste managing system 201 over a week’s time may be retrieved using the user interface.

[0045] The one or more modules 209 may also include other modules 307 to perform various miscellaneous functionalities of the waste managing system 201, The other module 307 may include module such as weight calculation module for calculating the weight of the waste collection vehicle 202 based on the vibration of the waste collection vehicle 202 and dimensions of the waste collection vehicle 202, It will be appreciated that such modules may be represented as a single module or a combination of different modules. [0046] Figure 5 illustrates a flowchart showing exemplary method for managing waste collection in an area, in accordance with some embodiments of present disclosure.

[0047] As illustrated in Figure 5, the method 500 may include one or more blocks for executing processes in the waste managing system 201. The method 500 may be described in the general context of computer executable instructions. Generally, computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, and functions, which perform particular functions or implement particular abstract data types.

[0048] The order in which the method 500 are described may not intended to be construed as a limitation, and any number of the described method blocks can be combined in any order to implement the method. Additionally, individual blocks may be deleted from the methods without departing from the scope of the subject matter described herein. Furthermore, the method can be implemented in any suitable hardware, software, firmware, or combination thereof.

[0049] At block 501, receiving, by the receiving module 301, the sensor data 308 related to load of waste collected by the waste collection vehicle 202 from each pick-up location of the plurality of pick-up locations in the area. The sensor data 308 is received from the sensors 203 associated with the waste collection vehicle 202. The sensors 203 comprises accelerometer, GPS, gyroscope, and the like. The sensors 203 are associated with the OBU of the waste collection vehicle, and a mobile device associated with the driver of the waste collection vehicle 202.

[0050] At block 502, monitoring, by the capacity' monitoring module 302, filling capacity'· of the waste collection vehicle 202, and the time-window for the load collection at each pick-up location of the plurality of pick-up locations in the area based on at least one of, a change in the load of waste collected by the waste collection vehicle, the sensor data, and the pick-up profile of each of the pick-up locations of the plurality of pick-up locations. The pick-up profile of each of the pick- up locations is generated by the profile generation module 306 based on at least one of demographic information of the area, environmental data, historical waste estimation of the area, and seasonality data. In an embodiment, the profile generation module 306 dynamically re- configures the pick-up profile of each of the pick-up location of the plurali ty of pick-up locations based on one or more parameters. The one or more parameters are related to the first set of incidents, the second set of incidents, restructuring of the area and the monitoring.

[0051] At block 503, identifying, by the incident identification module 303, the first set of incidents associated with the collected waste in the area from predefined set of first incidents based on the monitoring, the location of the waste collection vehicle obtained from the sensor data, and the pick-up profile of each of the pick-up location of the plurality of pick-up locations. The predefined set of first incidents comprise a missed pick-up location from the plurality of pick-up locations, an exceed in the capacity of the waste collection vehicle, an increase in the load of the waste collected, under-utilization of the waste collection vehicle and an exceed in the time-window for the load collections.

[0052] At block 504, detecting, by the incident detection module 304, the occurrence of the second set of incidents based on data obtained from one or more external sources. The second set of incidents are classified into the predefined category of incidents such as area incidents, route incidents and vehicle incidents. The one or more external sources comprise environmental data, weather data, vehicle data, calendar data, media data and traffic data. Further, the incident detection module 304 may identify the first set of incidents and the second set of incidents as one of long-term incidents and short-term incidents by monitoring occurrences of the first set of incidents and the second set of incidents for a predefined time period. The long-term incidents comprise population flow incident, traffic incident, missed waste pick-up location incident, underutilization of capacity of waste collection vehicle, over utilization of the capacity of the waste collection vehicle, and excess waste weight collection over a period of time. The short-term incidents comprise breakdown of waste collection vehicle, sensor displacement, excess waste weight collection, customer grievances and exhaustion of staff resources.

[0053] At block 505, managing, by the waste managing module 305, the waste collection in the area by providing at least one of an alert and recommendation to the user based on the first set of incidents, the second set of incidents, the pick-up profile of each of the pick-up location of the plurality of pick-up locations, and predefined rules. The predefined rules are related to the first set of incidents and the second set of incidents. Particularly, the waste managing module 305 may initiate operation planning related to the waste collection vehicle 202 and incident management related to the waste collection vehicle 202 based on the identified occurrences of the long-terra incidents and the short-term incidents, respectively.

Computing System

[0054] Figure 6 illustrates a block diagram of an exemplary computer system 600 for implementing embodiments consistent with the present disclosure. In an embodiment, the computer system 600 is used to implement the waste managing system 201. Thus, the computer system 600 may be used for managing waste collection in an area, in an embodiment, the computer system 600 may be implemented in edge computing platform or cloud computing platform. The cloud computing platform may be centralised or decentralised platform. The computer system 600 may include a central processing unit (“CPU” or “processor”) 602. The processor 602 may include at least one data processor for executing processes in Virtual Storage Area Network. The processor 602 may include specialized processing units such as, integrated system (bus) controllers, memory management control units, floating point units, graphics processing units, digital signal processing units, etc.

[0055] The processor 602 may be disposed in communication with one or more input/output (I/O) devices 609 and 610 via I/O interface 601. The I/O interface 601 may employ communication protocols/methods such as, without limitation, audio, analog, digital, monaural, RCA, stereo, IEEE-1394, serial bus, universal serial bus (USB), infrared, PS/2, BNC, coaxial, component, composite, digital visual interface (DVI), high-definition multimedia interface (HDMI), RE antennas, S-Video, VGA, IEEE 802. n /b/g/n/x, Bluetooth, cellular (e.g., code-division multiple access (CDMA), high-speed packet access (HSPA+), global system for mobile communications (GSM), long-term evolution (LTE), WiMax, or the like), etc.

[0056] Using the I/O interface 601 , the computer system 600 may communicate with one or more I/O devices 609 and 610. For example, the input devices 609 may be an antenna, keyboard, mouse, joystick, (infrared) remote control, camera, card reader, fax machine, dongle, biometric reader, microphone, touch screen, touchpad, trackball, stylus, scanner, storage device, transceiver, video device/source, etc. The output devices 610 may be a printer, fax machine, video display (e.g.. cathode ray tube (CRT), liquid crystal display (LCD), light-emitting diode (LED), plasma, Plasma display panel (PDP), Organic light-emitting diode display (OLED) or the like), audio speaker, etc.

[0057] In some embodimen ts, the computer system 600 may consist of the waste managing system 201. The processor 602 may be disposed in communication with the communication network 611 via a network interface 603. The network interface 603 may communicate with the communication network 611. The network interface 603 may employ connection protocols including, without limitation, direct connect, Ethernet (e.g., twisted pair 10/100/1000 Base T), transmission control protocol/intemet protocol (TCP/IP), token ring, IEEE 802.1 la/b/g/n/x, etc. The communication network 611 may include, without limitation, a direct interconnection, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), the Internet, etc. Using the network interface 603 and the communication network 611, the computer system 600 may communicate with sensors 613 associated with waste collection vehicle 612 and external sources 614 for managing waste collection by providing alert and recommendation to user. The network interface 603 may employ connection protocols include, but not limited to, direct connect, Ethernet (e.g., twisted pair 10/100/1000 Base T), transmission control protocol/intemet protocol (TCP/IP), token ring, IEEE 802.1 la/b/g/n/x, etc.

[0058] The communication network 611 includes, but is not limited to, a direct interconnection, an e-commerce network, a peer to peer (P2P) network, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), the Internet, Wi- Fi, and such. The first network and the second network may either be a dedicated network or a shared network, which represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/intemet Protocol (TCP/IP), Wireless Application Protocol (WAP), etc., to communicate with each other. Further, the first network and the second network may include a variety of network devices, including routers, bridges, servers, computing devices, storage devices, etc.

[0059] In some embodiments, the processor 602 may be disposed in communication with a memory 605 (e.g., RAM, ROM, etc. not shown in Figure 6) via a storage interface 604. The storage interface 604 may connect to memory 605 including, without limitation, memory drives, removable disc drives, etc., employing connection protocols such as, serial advanced technology attachment (SATA), Integrated Drive Electronics (IDE), IEEE- 1394, Universal Serial Bus (USB), fibre channel, Small Computer Systems Interface (SCSI), etc. The memory drives may further include a drum, magnetic disc drive, magneto- optical drive, optical drive, Redundant Array of Independent Discs (RAID), solid-state memory devices, solid-state drives, etc.

[0060] The memory 605 may store a collection of program or database components, including, without limitation, user interface 606, an operating system 607 etc. In some embodiments, computer system 600 may store user/application data 606, such as, the data, variables, records, etc., as described in this disclosure. Such databases may be implemented as fault-tolerant, relational, scalable, secure databases such as Oracle ® or Sybase®.

[0061] The operating system 607 may facilitate resource management and operation of the computer system 600. Examples of operating systems include, without limitation, APPLE MACINTOSH® OS X, UNIX®, UNIX-like system distributions (E.G., BERKELEY SOFTWARE DISTRIBUTION™ (BSD), FREEBSD™, NETBSD™, OPENBSD™, etc.), LINUX DISTRIBUTIONS™ (EG.. RED HAT™, UBUNTU™, KUBUNTU™, etc.), IBM™ OS/2, MICROSOFT™ WINDOWS™¹ (XP™, VISTA™/7/8, 10 etc.), APPLE® IQS™¹, GOOGLE® ANDROID™¹, BLACKBERRY® OS, or the like.

[0062] Furthermore, one or more computer-readable storage media may be utilized in implementing embodiments consistent with the present disclosure. A computer-readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored. Thus, a computer-readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein. The term “computer-readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., be non-transitory. Examples include Random Access Memory (RAM), Read-Only Memory (ROM), volatile memory, non-volatile memory, hard drives, CD ROMs, DVDs, flash drives, disks, and any other known physical storage media.

[0063] An embodiment of the present disclosure provisions a method for door-to-door waste collection and managing the waste collection of the area by providing alert and recommendation to the user based on the first set and second set of incidents. [0064] An embodiment of the present disclosure provides dynamic utilization of the waste collection vehicle to minimize time, cost, pollution, distance travelled and increases fuel efficiency of the waste collection vehicle by providing operation planning and incident planning.

[0065] An embodiment of the present disclosure provisions a method for profiling pick-up locations of the area and reconfiguring of the pick-up locations based on the first and the second set of incidents and restructuring of the area.

[0066] An embodiment of the present disclosure provides real time assessment of waste quantity' collection from the pick-up locations to dump station on daily basis.

[0067] The described operations may be implemented as a method, system or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof. The described operations may be implemented as code maintained in a “non-transitory computer readable medium,” where a processor may read and execute the code from the computer readable medium. The processor is at least one of a microprocessor and a processor capable of processing and executing the queries. A non-transitory computer readable medium may include media such as magnetic storage medium (e.g., hard disk drives, floppy disks, tape, etc.), optical storage (CD-ROMs, DVDs, optical disks, etc.), volatile and non-volatile memory devices (e.g., EEPROMs, ROMs, PROMs, RAMs, DRAMs, SRAMs, Flash Memory , firmware, programmable logic, etc.), etc. Further, non-transitory computer- readable media may include all computer-readable media except for a transitory . The code implementing the described operations may further be implemented in hardware logic (e.g., an integrated circuit chip. Programmable Gate Array (PGA), Application Specific Integrated Circuit (ASIC), etc,).

[0068] An “article of manufacture” includes non-transitory computer readable medium, and /or hardware logic, in which code may be implemented. A device in which the code implementing the described embodiments of operations is encoded may include a computer readable medium or hardware logic. Of course, those skilled in the art will recognize that many modifications may be made to this configuration without departing from the scope of the invention, and that the article of manufacture may include suitable information bearing medium known in the art. [0069] The terms “an embodiment,” “embodiment,” “embodiments”, “the embodiment”, “the embodiments”, “one or more embodiments”, “some embodiments”, and “one embodiment” mean “one or more (but not all) embodiments of the invention(s)” unless expressly specified otherwise.

[0070] The terms “including,” “comprising,” “having” and variations thereof mean “including but not limited to”, unless expressly specified otherwise.

[0071] The enumerated listing of items does not imply that any or all of the items are mutually exclusive, unless expressly specified otherwise.

[0072] The terms “a,” “an” and “the” mean “one or more”, unless expressly specified otherwise.

[0073] A description of an embodiment with several components in communication with each other does not imply that all such components are required. On the contrary a variety of optional components are described to illustrate the wide variety' of possible embodiments of the invention.

[0074] When a single device or article is described herein, it will be readily apparent that more than one device/article (whether or not they cooperate) may be used in place of a single device/article. Similarly, where more than one device or article is described herein (whether or not they cooperate), it will be readily apparent that a single device/article may be used in place of the more than one device or article, or a different number of devices/articles may be used instead of the shown number of devices or programs. The functionality and/or the features of a device may be alternatively embodied by one or more other devices which are not explicitly described as having such functionality /features. Thus, other embodiments of the invention need not include the device itself.

[0075] The illustrated operations of Figure 5 show certain events occurring in a certain order. In alternative embodiments, certain operations may be performed in a different order, modified, or removed. Moreover, steps may be added to the above-described logic and still conform to the described embodiments. Further, operations described herein may occur sequentially or certain operations may be processed in parallel. Yet further, operations may be performed by a single processing unit or by distributed processing units. [0076] Finally, the language used in the specification has been principally selected for readability and instructional purposes, and it may not have been selected to delineate or circumscribe the inventive subject matter. It is therefore intended that the scope of the invention be limited not by this detailed description, but rather by any claims that issue on an application based here on. Accordingly, the disclosure of the embodiments of the invention is intended to be illustrative, but not limiting, of the scope of the invention, which is set forth in the following claims.

[0077] While various aspects and embodiments have been disclosed herein, other aspects and embodiments wall be apparent to those skilled in the art. The various aspects and embodiments disclosed herein are for purposes of illustration and are not intended to be limiting, with the true scope and spirit being indicated by the following claims.

Referral numerals:

Claims

Claims:

1. A method for managing waste collection in an area, the method comprising: receiving, by a waste managing system (201), sensor data related to load of waste collected by a waste collection vehicle (202) from each pick-up location of a plurality of pick-up locations in an area, wherein the sensor data is received from one or more sensors associated with the waste collection vehicle (202); monitoring, continuously, by the waste managing system (201), a filling capacity of the waste collection vehicle, and a time-window for the load collection at each pick-up location of the plurality of pick-up locations in the area based on at least one of, a change in the load of waste collected by the waste collection vehicle (202), the sensor data, and a pick-up profile of each of the pick-up locations of the plurality of pick-up locations, wherein the pick-up profile of each of the pick-up locations is generated based on at least one of demographic information of the area, environmental data, historical waste estimation of the area, and seasonality data; identifying, by the -waste managing system (201), a first set of incidents associated with the collected waste in the area from predefined set of first incidents based on the monitoring, a location of the waste collection vehicle (202) obtained from the sensor data, and the pick-up profile of each of the pick-up location of the plurality of pick-up locations; detecting, by the waste managing system, occurrence of a second set of incidents based on data obtained from one or more external sources; and managing, by the waste managing system (201), the waste collection in the area by- providing at least one of an alert and recommendation to a user based on the first set of incidents, the second set of incidents, the pick-up profile of each of the pick-up location of the plurality of pick-up locations, and predefined rules.

2. The method as claimed in claim 1, wherein the one or more sensors comprises accelerometer, Global Positioning System (GPS), and gyroscope.

3. The method as claimed in claim 1, wherein the one or more sensors are associated with an On-Board Unit (OBU) of the waste collection vehicle (202), and a mobile device associated with a driver of the waste collection vehicle (202).

4. The method as claimed in claim 1, wherein the change in the load of waste collected by the waste collection vehicle (202) is determined based on weight of the waste collection vehicle (202) before collecting the waste from a pick-up location of the plurality of locations and the weight of the waste collection vehicle (202) after collecting the waste from the pick-up location of the plurality of locations.

5. The method as claimed in claim 4, wherein the weight of the waste collection vehicle (202) is based on vibration data of the waste collection v ehicle (202) and dimensions of the waste collection vehicle (202).

6. The method as claimed in claim 1, wherein the predefined set of first incidents comprise a missed pick-up location from the plurality of pick-up locations, an exceed in the capacity of the waste collection vehicle (202), an increase in the load of the waste collected, underutilization of the waste collection vehicle (202) and an exceed in the time-window for the load collection.

7. The method as claimed in claim 1, wherein the second set of incidents are classified into a predefined category of incidents.

8. The method as claimed in claim 7, wherein the predefined category of incidents comprises area incidents, route incidents and vehicle incidents.

9. The method as claimed in claim 1 , wherein the data obtained from the one or more external sources comprise environmental data, weather data, vehicle data, calendar data,, media data and traffic data.

10. The method as claimed in claim 1, wherein the predefined rules are related to the first set of incidents and the second set of incidents.

11. The method as claimed in claim 1, further comprising: re-configuring, by the waste managing system (201), the pick-up profile of each of the pick-up location of the plurality of pick-up locations dy namically based on one or more parameters, wherein the one or more parameters are related to at least one of, the first set of incidents, the second set of incidents, restructuring of the area, and the monitoring.

12. The method as claimed in claim 1, wherein managing the waste collection comprises: identifying, by the waste managing system (201), the first set of incidents and the second set of incidents as one of long-term incidents and short-term incidents by monitoring occurrences of the first set of incidents and the second set of incidents for a predefined time period; and initiating, by the waste managing system (201), operation planning related to the waste collection vehicle (202) and incident management related to the waste collection vehicle (202) based on the identified occurrences of the long-term incidents and the shortterm incidents, respectively.

13. The method as claimed in claim 12, wherein the operation planning comprises: providing, by the waste managing system (201), recommendations related to resource planning for number of staff members, routing of at least one waste collection vehicle, number of trips for the waste collection vehicle (202), route recommendation based on a priority assigned for pick-up locations and re-configuration of the pick-up profile of each of the pick-up location of the plurality of pick-up location of the area for the waste collection vehicle (202) by analysing the long-term incidents.

14. The method as claimed in claim 12, wherein the incident management comprises: providing, by the waste managing system (201), at least one of an alert and recommendation to a user by analysing the short-term incidents.

15. The method as claimed in claim 12, wherein the long-term incidents comprise population flow incident, traffic incident, missed waste pick-up location incident, underutilization of capacity of waste collection vehicle, overutilization of the capacity of the waste collection vehicle, and excess waste weight collection over a period of time.

16. The method as claimed in claim 12, wherein the short-term incidents comprise breakdown of waste collection vehicle, sensor displacement, excess waste weight collection, customer grievances and exhaustion of staff resources.

17. A waste managing system (201) for managing waste collection in an area, comprising: a processor (206): and a memory (208) communicatively coupled to the processor (206), wherein the memory (208) stores processor-executable instructions, which, on execution, cause the processor (206) to: receive sensor data related to load of waste collected by a waste collection vehicle (202) from each pick-up location of a plurality of pick-up locations in an area, wherein the sensor data is received from one or more sensors associated with the waste collection vehicle (202); monitor a filling capacity of the waste collection vehicle (202), and a time-window for the load collection at each pick-up location of the plurality of pick-up locations in the area based on at least one of, a change in the load of waste collected by the waste collection vehicle (202), the sensor data, and a pick-up profile of each of the pick-up locations of the plurality of pick-up locations, wherein the pick-up profile of each of the pick-up locations is generated based on at least one of demographic information of the area, environmental data, histori cal waste estimation of the area, and seasonality data; identify a first set of incidents associated with the collected waste in the area from predefined set of first incidents based on the monitoring, a location of the waste collection vehicle (202) obtained from the sensor data, and the pick-up profile of each of the pick-up location of the plurality of pick-up locations; detect occurrence of a second set of incidents based on data obtained from one or more external sources; and manage the waste collection in the area by providing at least one of an alert and recommendation to a user based on the first set of incidents, the second set of incidents, the pick-up profile of each of the pick-up location of the plurality of pick-up locations, and predefined rules.

18. The waste managing system (201) as claimed in claim 17, wherein the one or more sensors comprises accelerometer, Global Positioning System (GPS), and gyroscope.

19. The waste managing system (201) as claimed in claim 17, wherein the one or more sensors are associated with an On-Board Unit (OBU) of the waste collection vehicle (202), and a mobile device associated with a driver of the waste collection vehicle (202).

20. The waste managing system (201) as claimed in claim 17, wherein the change in the load of waste collected by the waste collection vehicle (202) is determined based on weight of the waste collection vehicle (202) before collecting the waste from a pick-up location of the plurality of locations and the weight of the waste collection vehicle (202) after collecting the waste from the pick-up location of the plurality' of locations.

21. The waste managing system (201) as claimed in claim 20, wherein the weight of the waste collection vehicle (202) is based on vibration data of the waste collection vehicle (202) and dimensions of the waste collection vehicle (202).

22. The waste managing system (201) as claimed in claim 17, wherein the predefined set of incidents comprise a missed pick-up location from the plurality of pick-up locations, an exceed in the capacity of the waste collection vehicle (02), an increase in the load of the waste collected, under-utilization of the waste collection vehicle (202) and an exceed in the time-window for the load collection.

23. The waste managing system (201) as claimed in claim 17, wherein the second set of incidents are classified into a predefined category of incidents.

24. The waste managing system (201) as claimed in claim 23, wherein the predefined category of incidents comprises area incidents, route incidents and vehicle incidents.

25. The waste managing system (201) as claimed in claim 17, wherein the data obtained from the one or more external sources comprises environmental data, weather data, vehicle data, calendar data, media data and traffic data.

26. The waste managing system (201) as claimed in claim 17, wherein the predefined rales are related to the first set of incidents and the second set of incidents.

27. The waste managing system (201) as claimed in claim 17, wherein the processor (206) is configured to: re-configure the pick-up profile of each of the pick-up location of the plurality of pick-up locations dynamically based on one or more parameters, wherein the one or more parameters are related to at least one of, the first set of incidents, the second set of incidents, restructuring of the area, and the monitoring.

28. The waste managing system (201) as claimed in claim 17, wherein the processor (206) is configured to manage the waste collection by: identifying the first set of incidents and the second set of incidents as one of long- term incidents and short-term incidents by monitoring occurrences of the first set of incidents and the second set of incidents for a predefined time period; and initiating operation planning related to the waste collection vehicle (202) and incident management related to the waste collection vehicle (202) based on the identified occurrences of the long-term incidents and the short-term incidents, respectively.

29. The waste managing system (201) as claimed in claim 28, wherein the processor (206) is configured to perform operation planning by: providing recommendations related to resource planning for number of staff members, routing of at least one waste collection vehicle, number of trips for the waste collection vehicle (202), route recommendation based on a priority assigned for pick-up locations and re-configuration of the pick-up profile of each of the pick-up location of the plurality of pick-up location of the area for the waste collection vehicle (202) by analysing the long-term incidents.

30. The waste managing system (201) as claimed in claim 28, -wherein the processor (206) is configured to perform incident management by: providing at least one of an alert and recommendation to a user by analysing the short-term incidents.

31. The waste managing system (201) as claimed in claim 28, wherein the long-term incidents comprise population flow incident, traffic incident, missed waste pick-up location incident, underutilization of capacity of waste collection vehicle (202), overutilization of the capacity' of the waste collection vehicle (202), and excess waste weight collection over a period of time.

32. The waste managing system (201) as claimed in claim 28, wherein the short-term incidents comprise breakdown of waste collection vehicle, sensor displacement, excess waste weight collection, customer grievances and exhaustion of staff resources.