DEVICE, SYSTEM AND METHOD FOR AUTOMATED SLAB
FINISHING
APLICANT:
KNEST MANUFACTURERS PVT. LTD.
AN INDIAN COMPANY REGISTERED UNDER THE COMPANIES ACT
WITH ADDRESS:
Unit No. 801/802, Om Chambers, T 29/31, Bhosari Industrial Estate, Next to
Toyota Showroom, Telco Road, Pune, Maharashtra, India 411026
THE FOLLOWING SPECIFICATION PARTICULARLY DESCRIBES THE SUBJECT
MATTER AND THE MANNER IN WHICH THIS IS TO BE PERFORMED
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FIELD OF THE PRESENT SUBJECT MATTER
[0001] This present subject matter is generally in the field of construction. More
particularly, the present subject matter relates to the device, system, and method for
automated slab finishing.
5 BACKGROUND OF THE PRESENT SUBJECT MATTER
[0002] In the vast and intricate world of construction, concrete serves as the
cornerstone for a myriad of structures, from towering skyscrapers to sprawling
bridges. This ubiquity stems from concrete's robustness, longevity, and
adaptability. A pivotal yet challenging aspect of working with concrete is the
10 finishing of slabs, a process essential not just for structural aesthetics but also for
the durability and stability of construction projects. Despite its significance, the
conventional methods employed in the finishing of concrete slabs, particularly
manual grinding for surface smoothing, present numerous inefficiencies, and
obstacles.
15 [0003] The finishing stage is critical in the construction process for multiple
reasons. It ensures that the concrete surface is level and smooth, a necessity for the
stability of any structures built atop and for the adherence of flooring materials.
Aesthetically, a well-finished surface is often desired for areas where the concrete
itself is the final flooring material. Beyond aesthetics, a finished slab is more
20 resistant to moisture, chemicals, and general wear, significantly extending its
functional lifespan.
[0004] Traditionally, finishing, especially the correction of imperfections postcuring, involves the use of manual grinding. This method requires laborers to
operate either handheld or walk-behind machines designed to even out irregularities
25 on the concrete surface. The process demands not only skill but also physical
strength to guide the grinders accurately over the target areas, ensuring an even
treatment across the surface.
[0005] Encountered Challenges: Labor Intensity and Time Consumption: The
manual aspect of the grinding process is both physically demanding and time30 consuming. Workers are tasked with maneuvering heavy equipment, a factor that
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contributes to fatigue, decreasing efficiency over time, and thereby elongating the
duration and increasing the costs associated with labor.
[0006] Health Risks Due to Dust Generation: A significant concern is the
production of silica dust, a byproduct of grinding concrete. The inhalation of this
5 dust is a health hazard, potentially leading to severe respiratory issues, including
silicosis. Despite protective measures, the risk to workers' health is considerable.
[0007] Inconsistent Finish Quality: Achieving uniform smoothness and levelness
across a concrete surface is fraught with challenges, primarily due to human error
and variability in worker skill levels. Inconsistencies not only affect the project's
10 quality but also lead to potential reworks, increasing costs and project timelines.
[0008] Environmental and Safety Concerns: The environmental impact of the silica
dust extends beyond the immediate vicinity, posing a broader health risk to the
community. Moreover, the operation of heavy grinding machinery carries inherent
physical risks, including the potential for accidents.
15 [0009] Economic Implications: The culmination of these issues has a pronounced
economic impact on construction projects. Direct labor costs rise due to the
process's labor-intensive nature, health risks can lead to increased insurance
premiums, and the potential need for reworks inflates project costs and delays.
SUMMARY
20 [0010] Before the present system(s) and method(s) are described, it is to be
understood that this application is not limited to the particular system(s) and
methodologies described, as there can be multiple possible embodiments which are
not expressly illustrated in the present disclosure. It is also to be understood that the
terminology used in the description is for the purpose of describing the particular
25 implementations or versions or embodiments only and is not intended to limit the
scope of the present application. This summary is provided to introduce aspects
related to system and a method. This summary is not intended to identify essential
features of the claimed subject matter nor is it intended for use in determining or
limiting the scope of the disclosure.
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[0011] The innovative leap towards automating the concrete finishing process
embodies a fusion of advanced technologies, meticulously integrated to address the
multifaceted challenges inherent in manual concrete grinding. At the heart of this
invention lies a sophisticated autonomous robotic system designed to navigate
5 construction sites, identify uneven surfaces on concrete slabs, and execute precision
grinding, all while minimizing health risks and environmental impacts through an
advanced dust collection mechanism. This section delves into the technological
underpinnings that empower this robotic system to redefine the standards of
efficiency, safety, and quality in construction practices.
10 [0012] Advanced Grinding Mechanisms: Central to the robotic system is its
advanced grinding mechanism, an engineering marvel designed for precision and
efficiency. Unlike traditional manual grinders, this mechanism is equipped with
multiple grinding heads capable of adjusting their speed, pressure, and orientation
in real-time. This adaptability allows the robot to tailor its grinding action to the
15 specific condition of the concrete surface, ensuring optimal smoothing with
minimal material removal. The grinding heads are made from durable materials
capable of withstanding the rigors of concrete grinding, ensuring longevity and
consistent performance.
[0013] Dust Collection and Filtration System: A standout feature of this invention
20 is its integrated dust collection and filtration system, which addresses the significant
health hazards associated with silica dust generation during grinding. As the
grinding mechanism operates, an accompanying vacuum system activates,
suctioning airborne particles immediately at the source. This system employs
HEPA filters, renowned for their efficiency in trapping fine particulates, ensuring
25 that the air remains clean and the work environment safe. This not only protects the
health of workers but also contributes to environmental conservation by preventing
dust from contaminating surrounding areas.
[0014] Intelligent Navigation and Surface Mapping: The autonomous nature of the
robotic system is underpinned by advanced navigation technology and sophisticated
30 algorithms for surface mapping and analysis. Utilizing an array of sensors and
cameras, the robot meticulously scans the concrete slab, generating a detailed map
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of its surface. This map highlights areas of unevenness, enabling the robot to plot
an efficient path that prioritizes sections requiring attention. The navigation system
is designed to be highly adaptive, capable of manoeuvring around obstacles and
operating in diverse construction environments. This ensures that the robot can
5 work effectively in real-world settings, accommodating the dynamic nature of
construction sites.
[0015] Artificial Intelligence-Driven Operation: Artificial intelligence (AI) plays a
pivotal role in the operation of the robotic system, enabling it to process the data
collected from its sensors and cameras and make autonomous decisions. The AI
10 algorithms are trained to identify imperfections on concrete surfaces and determine
the optimal grinding strategy for each scenario. This capacity for autonomous
decision-making not only enhances the robot's efficiency but also ensures a
consistently high-quality finish, minimizing the need for human intervention and
the potential for error associated with manual grinding.
15 [0016] Safety and Environmental Considerations: In designing the robotic system,
a paramount consideration was given to safety and environmental impact. The robot
is equipped with safety sensors that prevent collisions with workers and
construction materials, and it can be remotely overridden in case of emergency. By
automating a process that traditionally poses significant health risks and
20 environmental challenges, the robotic system represents a significant step forward
in promoting safer and more sustainable construction practices.
BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The foregoing detailed description of embodiments is better understood
25 when read in conjunction with the appended drawings. For the purpose of
illustrating the disclosure, there is shown in the present document example
constructions of the disclosure; however, the disclosure is not limited to the specific
methods and apparatus disclosed in the document and the drawings.
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[0018] The present disclosure is described in detail with reference to the
accompanying figures. 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 drawings to refer various features of the present subject
5 matter.
[0019] Figure 1 illustrates a network implementation, in accordance with an
embodiment of the present subject matter.
[0020] Figure 2 illustrates a system, in accordance with an embodiment of the
present subject matter.
10 [0021] The figures depict various embodiments of the present subject matter for
purposes of illustration only. One skilled in the art will readily recognize from the
following discussion that alternative embodiments of the structures and methods
illustrated herein may be employed without departing from the principles of the
present subject matter described herein.
15 DETAILED DESCRIPTION OF THE PRESENT SUBJECT MATTER
[0022] Some embodiments of this disclosure, illustrating all its features, will now
be discussed in detail. The words "comprising," "having," "containing," and
"including," and other forms thereof, are intended to be equivalent in meaning and
be open ended in that an item or items following any one of these words is not
20 meant to be an exhaustive listing of such item or items or meant to be limited to
only the listed item or items. It must also be noted that as used herein and in the
appended claims, the singular forms "a," "an," and "the" include plural references
unless the context clearly dictates otherwise. Although any system and methods,
similar or equivalent to those described herein can be used in the practice or testing
25 of embodiments of the present disclosure, the exemplary, system and methods are
now described. The disclosed embodiments for are merely examples of the
disclosure, which may be embodied in various forms.
[0023] Various modifications to the embodiment will be readily apparent to those
skilled in the art and the generic principles herein may be applied to other
30 embodiments. For example, although the present disclosure will be described in the
7
context ofsystem and a method, it will readily recognize that the method and system
can be utilized in any situation where there is need for automated slab finishing.
Thus, the present disclosure is not intended to be limited to the embodiments
illustrated but is to be accorded the widest scope consistent with the principles and
5 features described herein.
[0024] As described in the previous section, the manual grinding of concrete slabs,
a vital step in construction to ensure smooth and level surfaces, is fraught with
several significant challenges. Firstly, the process is highly labour-intensive,
requiring substantial physical effort from workers who must manoeuvre heavy
10 grinding equipment for extended periods. This not only slows down project
timelines but also increases labour costs significantly. Secondly, the health risks
posed by the manual grinding process are considerable. Workers are exposed to
silica dust, a by-product of grinding concrete, which can lead to serious respiratory
conditions, including silicosis. Despite protective measures, the risk of dust
15 exposure remains a persistent concern. Thirdly, achieving a consistent finish quality
is challenging. The manual nature of the process, influenced by the skill level and
fatigue of the worker, often results in uneven surfaces that may require costly and
time-consuming rework. Lastly, the environmental impact of the manual grinding
process cannot be overlooked. The dust generated not only poses health risks but
20 also contributes to environmental pollution.
[0025] An advanced autonomous robotic system has been devised as a solution to
these challenges. This system is equipped with a sophisticated grinding mechanism
that includes multiple adjustable grinding heads. These heads can dynamically
change their speed and pressure based on the concrete surface's condition, ensuring
25 efficient and even grinding. Alongside, an integrated dust collection and filtration
system featuring HEPA filters effectively captures the silica dust at the source,
substantially mitigating health risks and environmental pollution. The robot utilizes
intelligent navigation and surface mapping technologies, employing sensors and
cameras to accurately assess the work area and identify uneven spots that require
30 grinding. This capability allows for precise manoeuvring and optimal path
planning, ensuring comprehensive surface coverage. Furthermore, the system is
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powered by AI-driven algorithms that process the collected data to autonomously
determine the most effective grinding strategy for varying surface conditions. This
minimizes the need for human intervention and guarantees a consistently highquality finish.
5 [0026] The advantages of this solution are extensive. The automation of the
grinding process significantly reduces the manual labour required, thereby cutting
down on labour costs and accelerating project timelines. The efficient dust
collection system protects workers' health and contributes to a safer work
environment, aligning with regulatory standards and reducing potential liabilities
10 for construction firms. Additionally, the system's ability to deliver a consistently
high-quality finish reduces the likelihood of rework, saving both time and
resources. The environmental benefits of this solution are also noteworthy. By
effectively capturing silica dust, the robotic system minimizes pollution,
contributing to more sustainable construction practices. Economically, while the
15 initial investment in such a robotic system might be higher than the costs of
traditional methods, the long-term savings generated through reduced labour costs,
minimized health and safety risks, and decreased need for rework present a
compelling case for its adoption.
[0027] In addressing the significant challenges posed by manual concrete grinding,
20 this advanced autonomous robotic system offers a multifaceted solution that
promises to enhance efficiency, improve worker safety, ensure quality, and reduce
environmental impact. The integration of sophisticated grinding technology, dust
collection systems, intelligent navigation, and AI-driven operation marks a
significant step forward in the evolution of construction methodologies, setting new
25 standards for the industry.
[0028] Referring now to Figure 1, a network implementation of device 100 and
system 112 is disclosed. The present disclosure is explained considering that the
system 112 is implemented on a variety of computing systems, such as a laptop
computer, a desktop computer, a notebook, a workstation, a mainframe computer,
30 a server, a network server, a cloud-based computing environment and the like. It
will be understood that the system 112 may be accessed by multiple users through
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one or more user devices. In one implementation, the system 112 may comprise the
cloud-based computing environment in which a user, interchangeably may referred
to as a consumer, may operate individual computing systems configured to execute
remotely located applications. Examples of the user devices may include, but are
5 not limited to, a portable computer, a personal digital assistant, a handheld device,
and a workstation. The user devices are communicatively coupled to the system 112
and a database 108 through a network 110.
[0029] In one implementation, the network 110 may be a wireless network, a wired
network, or a combination thereof. The network 110 can be implemented as one of
10 the different types of networks, such as intranet, local area network (LAN), wide
area network (WAN), the internet, and the like. The network 110 may either be a
dedicated network or a shared network. The shared network represents an
association of the different types of networks that use a variety of protocols, for
example, Hypertext Transfer Protocol (HTTP), Transmission Control
15 Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the
like, to communicate with one another. Further the network 110 may include a
variety of network devices, including routers, bridges, servers, computing devices,
storage devices, and the like. Further following table provided the nomenclature
utilized.
20 [0030] Referring now to Figure 2, the system 112 is illustrated in accordance with
an embodiment of the present subject matter. In one embodiment, the system 112
may include at least one processor 202, an input/output (I/O) interface 204, and a
memory 206. The at least one processor 202 may be implemented as one or more
microprocessors, microcomputers, microcontrollers, digital signal processors,
25 central processing units, state machines, logic circuitries, and/or any devices that
manipulate signals based on operational instructions. Among other capabilities, the
at least one processor 202 is configured to fetch and execute computer-readable
instructions stored in the memory 206.
[0031] The I/O interface 204 may include a variety of software and hardware
30 interfaces, for example, a web interface, a graphical user interface, and the like. The
I/O interface 204 may allow the system 112 to interact with the user directly or
10
through the client devices 104. Further, the I/O interface 204 may enable the system
112 to communicate with other computing devices, such as web servers and
external data servers (not shown). The I/O interface 204 can facilitate multiple
communications within a wide variety of networks and protocol types, including
5 wired networks, for example, LAN, cable, etc., and wireless networks, such as
WLAN, cellular, or satellite. The I/O interface 204 may include one or more ports
for connecting a number of devices to one another or to another server.
[0032] The memory 206 may include any computer-readable medium or computer
program product known in the art including, for example, volatile memory, such as
10 static random-access memory (SRAM) and dynamic random-access memory
(DRAM), and/or non- volatile memory, such as read only memory (ROM), erasable
programmable ROM, flash memories, hard disks, optical disks, and magnetic tapes.
The memory 206 may include or be communicatively coupled to modules 208 and
data 210.
15 [0033] The modules 208 include routines, programs, objects, components, data
structures, etc., which perform particular tasks or implement particular abstract data
types. In one implementation, the modules 208 may include an obtaining module
212, a computing module 214, a controlling module 216 and other modules 218.
The other modules 218 may include programs or coded instructions that supplement
20 applications and functions of the system 102. The modules 208 described herein
may be implemented as software modules that may be executed in the cloud-based
computing environment of the system 102.
[0034] The data 210, amongst other things, serves as a repository for storing data
processed, received, and generated by one or more of the modules 208. The data
25 210 may also include a system data 220, and other data 222. The other data 222
may include data generated as a result of the execution of other modules 218, and
system data 220 may include data generated as a result of the execution of the
obtaining module 212, the computing module 214, and the controlling module 216
in the other modules 208. The detailed description of the modules 208 along with
30 other components of the system 112 is further explained by referring to figures 2.
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[0035] In one implementation, at first, a user may use the user device 104 to access
the system 112 via the I/O interface 204. The user may register themselves using
the I/O interface 204 in order to use the system 102. In one aspect, the user may
access the I/O interface 204 of the system 112 for customizing the system 102,
5 preparing various notification templets and data presentation templets. Further, the
system 112 may employ the obtaining module 212, the computing module 214, and
the controlling module 216 for automated slab finishing. The detailed working of
the plurality of modules is described below.
[0036] Obtaining Module 212: The obtaining module 212 serves as the systems
10 sensory and data acquisition cornerstone. It is responsible for gathering data from
the robot's array of sensors and cameras, which continuously scan the concrete
surface and the robot's immediate environment. This module collects critical
information on surface irregularities, obstacles in the robot’s path, and the current
state of the concrete slab. By processing this real-time data, the obtaining module
15 ensures that the robot has an accurate understanding of its working conditions,
enabling informed decision-making for subsequent actions.
[0037] Computing Module 214: Upon collecting the data, the computing module
214 comes into play. This module is tasked with processing the acquired data to
generate actionable insights. It employs advanced algorithms and machine learning
20 techniques to analyse the surface conditions of the concrete slab, identify areas
requiring grinding, and determine the optimal grinding strategy. The computing
module also calculates the most efficient paths for the robot to take, ensuring
thorough coverage of the work area while avoiding obstacles. This module is central
to the robot’s ability to autonomously adapt its operations to the specific
25 requirements of each project.
[0038] Controlling Module 216: The controlling module 216 acts as the execution
arm of the system, translating the insights and strategies generated by the computing
module into concrete actions. It controls the robot's movement, the operation of the
grinding mechanism, and the activation of the dust collection system. Through
30 precise commands, this module adjusts the speed, pressure, and orientation of the
grinding heads and navigates the robot across the construction site, ensuring that
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the concrete slab is finished uniformly and efficiently. The controlling module is
crucial for implementing the autonomous capabilities of the robot, allowing for
minimal human intervention.
[0039] Other Modules 218: Beyond these core functions, the software system
5 includes other modules 218, which encompass a range of supplementary
applications and functions. These may involve diagnostic tools for system health
monitoring, maintenance alerts, and software updates. They could also include
communication interfaces for remote monitoring and control by operators, data
analytics for performance optimization, and reporting tools for generating
10 summaries of the work done, including areas covered, volume of dust collected,
and operational efficiency.
[0040] Cloud-Based Implementation: Implemented in a cloud-based computing
environment, the software system leverages the cloud’s scalability, reliability, and
accessibility. This enables real-time data processing, immediate updates to the
15 system’s software, and remote access for operators and managers. The cloud
infrastructure ensures that the robotic system can operate in diverse and changing
construction environments, adapting to new data, and learning from each project to
continuously enhance performance.
[0041] Some additional embodiments are described below.
20 [0042] Embodiment 1: Compact Urban Model: Designed for urban construction
environments where space is limited and precision is paramount, this embodiment
features a compact, manoeuvrable frame that allows the robot to navigate tight
spaces and complex geometries. The grinding mechanism in this model is
optimized for precision, capable of detailed work around corners and edges,
25 ensuring a uniformly smooth surface even in confined areas. The dust collection
system is enhanced with noise reduction features, making it suitable for urban areas
where noise pollution is a concern.
[0043] Embodiment 2: Heavy-Duty Industrial Model: For larger scale industrial
projects that require extensive concrete slab finishing, this embodiment offers a
30 robust solution. It features a larger, more powerful grinding mechanism capable of
covering vast areas more efficiently. The dust collection system in this model is
13
designed for high-volume capture, suitable for the extensive dust generated in
industrial settings. Enhanced battery life or alternative power sources enable
prolonged operation, maximizing productivity on large job sites.
[0044] Embodiment 3: Precision Detailing Model: Specializing in the finishing of
5 intricate designs and detailed concrete work, this embodiment integrates advanced
sensors and precision grinding tools. It is specifically designed for projects
requiring high levels of detail, such as decorative concrete flooring, where
consistency and accuracy are crucial. AI algorithms for this model are tailored for
intricate patterns and designs, allowing for customization and precision beyond
10 conventional methods.
[0045] Embodiment 4: All-Terrain Outdoor Model: This embodiment is engineered
for challenging outdoor construction sites with uneven terrain. It features all-terrain
wheels or tracks, ensuring stable operation on uneven surfaces, and a ruggedized
frame to withstand harsh environmental conditions. The grinding mechanism and
15 dust collection system are both designed to be highly effective in outdoor settings,
where elements like wind can affect dust control.
[0046] Embodiment 5: Modular Multi-Unit System: Recognizing the need for
scalability in various projects, this embodiment consists of a modular system where
multiple units can operate simultaneously or independently, managed by a central
20 control system. This approach allows for the scaling of operations to the size of the
project, from single-unit operations for small areas to multi-unit collaborations
covering large expanses efficiently. Each unit is equipped with communication
technology to synchronize operations, ensuring uniform coverage and optimal
efficiency.
25 [0047] Embodiment 6: Autonomous Inspection and Maintenance Unit:
Complementing the concrete finishing units, this embodiment focuses on postfinishing inspection and maintenance. Equipped with high-resolution cameras and
sensors, it autonomously inspects the finished surface for quality assurance,
identifying any areas that may require additional work. Additionally, it performs
30 routine maintenance on the finishing units, such as cleaning the grinding
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mechanisms and replacing filters in the dust collection system, ensuring optimal
performance and longevity.
[0048] Now focusing on the hardware section, the hardware implementation of the
autonomous robotic system for concrete slab finishing incorporates a blend of
5 mechanical, electrical, and robotic technologies designed to tackle the inefficiencies
of manual concrete grinding. Here’s a detailed look at its technical and specific
hardware components:
[0049] Chassis and Structural Frame: The robot's chassis is constructed from highgrade aluminium or steel, chosen for its strength-to-weight ratio, durability, and
10 resistance to corrosion. The structural frame supports all other hardware
components and provides the necessary rigidity to withstand the vibrations and
forces encountered during grinding operations. Its design optimizes weight
distribution for stability during movement and operation.
[0050] Mobility and Navigation System: Wheels/Tracks: Depending on the model,
15 the robot is equipped with either pneumatic tires for smooth surfaces or caterpillar
tracks for enhanced grip and stability on rough or uneven terrain. The choice
between wheels and tracks is dictated by the need for manoeuvrability versus the
ability to navigate difficult terrains.
[0051] Motors and Drive System: Brushless DC electric motors power the wheels
20 or tracks, offering precise control over speed and direction. These motors are known
for their efficiency, durability, and low maintenance requirements.
[0052] Sensors for Navigation: An array of sensors, including LIDAR (Light
Detection and Ranging), ultrasonic sensors, and IMUs (Inertial Measurement
Units), enables the robot to understand its environment. These sensors provide data
25 on the robot’s position, obstacles in its path, and the topography of the surface it is
working on, facilitating autonomous navigation.
[0053] Grinding Mechanism
[0054] Grinding Heads: The robot employs multiple grinding heads, each outfitted
with diamond-tipped or tungsten carbide grinding wheels. These materials are
30 selected for their hardness and durability, essential for effectively smoothing
concrete surfaces.
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[0055] Adjustment Mechanisms: Each grinding head is mounted on an adjustable
arm, allowing for changes in pressure, angle, and height. This adjustability is crucial
for accommodating varying surface conditions and achieving a uniform finish.
[0056] Actuators: Hydraulic or pneumatic actuators control the movement and
5 pressure of the grinding heads. These actuators are chosen for their precision and
reliability, enabling fine control over the grinding process.
[0057] Dust Collection System: Vacuum Unit: Integrated directly with the grinding
mechanism, the vacuum unit uses a powerful suction fan to draw in dust generated
during grinding. The unit is designed to work efficiently even in the high-dust
10 environment of concrete grinding.
[0058] Filtration System: A multi-stage filtration system, incorporating HEPA
filters, captures fine dust particles, including silica, ensuring that the air expelled
back into the environment is clean. This system is crucial for minimizing health
risks associated with dust inhalation.
15 [0059] Power Supply and Management: Battery Pack: The robot is powered by a
rechargeable lithium-ion battery pack, selected for its high energy density, long life
cycle, and reliability. This power source enables the robot to operate for extended
periods without the need for frequent recharging.
[0060] Energy Management System: An onboard energy management system
20 optimizes power consumption, ensuring that the motors, actuators, and other
electrical components operate efficiently. This system is essential for maximizing
the robot's operational time on a single charge.
[0061] Control and Communication Systems
[0062] Onboard Computer: The heart of the robot’s control system is a ruggedized
25 onboard computer, capable of processing input from sensors, executing navigation
algorithms, and managing the operation of the grinding mechanism and dust
collection system.
[0063] Wireless Communication: For remote monitoring and control, the robot is
equipped with wireless communication capabilities, including Wi-Fi and Bluetooth.
30 This allows operators to oversee the robot's performance in real-time and make
adjustments as needed.
16
[0064] Although implementations for methods and systems have been described in
language specific to structural features and/or methods, it is to be understood that
the appended claims are not necessarily limited to the specific features or methods
described. Rather, the specific features and methods are disclosed as examples of
5 implementations of device system and method.
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We Claim:
1. A device (104) for slab grinding, wherein the device comprises:
a grinding unit, wherein the grinding unit comprises:
a grinding mechanism, wherein the grinding mechanism
5 comprises a plurality of grinding wheels;
a vacuum unit, wherein the vacuum unit is configured to suck
airborne particles and store in a dust collection chamber,
wherein the vacuum unit further comprises:
a filtration unit, wherein the filtration unit is
10 configured to filter the air with HEPA filter;
a driving unit, wherein the driving unit is configured to move the
grinding unit on the slab surface with the help of a motors and a
wheels, wherein the driving unit comprises an array of sensors, GPS
module and cameras;
15 a system (102) communicatively coupled to the grinding unit and the
driving unit, wherein the system (102) comprising:
an obtaining module (212), coupled with a processor (202),
wherein the obtaining module (212) is configured to obtain a
data like surface irregularities, obstacles in the path and current
20 state of the slab with the help of the arrays of sensors and
cameras;
a computing module (214), coupled with the processor (202),
wherein the computing module (214) analyses the surface
conditions of the concrete slab, identify areas required for
25 grinding, and determine the optimal grinding strategy, wherein
the computing module (214) further calculates the most
efficient paths for the robot to take, ensuring thorough
coverage of the work area while avoiding obstacles;
a controlling module (216), coupled with the processor (202),
30 wherein the controlling module (216) is configured to control
the grinding mechanism by adjusting the speed, pressure, and
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orientation of the grinding wheels and the driving unit by
navigating the robot across the construction site, ensuring that
the concrete slab is finished uniformly.
2. The system (102) for slab grinding as claimed in claim 1, wherein the arrays
5 of sensors comprises LIDAR (Light Detection and Ranging), ultrasonic
sensors, and IMUs (Inertial Measurement Units), enables the robot to
understand its environment, wherein the arrays of sensors provide data on
the robot’s position, obstacles in its path, and the topography of the surface
it is working on, facilitating autonomous navigation.
10 3. The system (102) for slab grinding as claimed in claim 1, wherein the device
(112) is wirelessly connected with the user for remote monitoring and
control, wherein the device (112) is equipped with wireless communication
capabilities, including Wi-Fi and Bluetooth to allow operators to oversee the
robot's performance in real-time and make adjustments as needed.
15 4. A method for slab grinding, wherein the method comprises:
obtaining, by the processor (202), the data like surface
irregularities, obstacles in the path and current state of the slab with
the help of arrays of sensors and cameras;
computing, by the processor (202), the surface conditions of the
20 concrete slab, identify areas required for grinding, and determine
the optimal grinding strategy, wherein the computing module (214)
further calculates the most efficient paths for the robot to take,
ensuring thorough coverage of the work area while avoiding
obstacles;
25 controlling, by the processor (202), control the grinding mechanism
by adjusting the speed, pressure, and orientation of the grinding
wheels and the driving unit by navigating the robot across the
construction site, ensuring that the concrete slab is finished
uniformly.
30 5. The method for slab grinding as claimed in claim 1, wherein the arrays of
sensors comprises LIDAR (Light Detection and Ranging), ultrasonic
19
sensors, and IMUs (Inertial Measurement Units), enables the robot to
understand its environment, wherein the arrays of sensors provide data on
the robot’s position, obstacles in its path, and the topography of the surface
it is working on, facilitating autonomous navigation.
5 6. The method for slab grinding as claimed in claim 1, wherein the device
(112) is wirelessly connected with the user for remote monitoring and
control, wherein the device (112) is equipped with wireless communication
capabilities, including Wi-Fi and Bluetooth to allow operators to oversee the
robot's performance in real-time and make adjustments as needed.