1
FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See Section 10 and Rule 13)
SYSTEM AND METHOD FOR LOAD MONITORING
OF SELF-CLIMBING PLATFORMS
APLICANT: KNEST VERTICALES PRIVATE LIMITED
AN INDIAN COMPANY REGISTERED UNDER THE COMPANIES ACT
With Address: Unit No. 801/802, Om Chambers, T-29/31, Bhosari Industrial
Estate, Telco Road, Next To Toyota Showroom, Bhosari, Pune, Maharashtra,
India – 411026
THE FOLLOWING SPECIFICATION PARTICULARLY DESCRIBES THE
SUBJECT MATTER
2
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 system and method for load
monitoring of self-climbing platforms.
5 BACKGROUND OF THE PRESENT SUBJECT MATTER
[0002] Modern construction projects often require a variety of equipment and
platforms to facilitate the process and ensure worker safety. Among these, selfclimbing
platforms have emerged as an invaluable tool for multi-story projects.
They are an assembly of a working platform that can rise with the building or
10 structure as it gets taller. However, like all pieces of equipment, these platforms
come with their limitations.
[0003] Self-climbing platforms, as their name suggests, are platforms used in
construction that can "climb" or "rise" as construction progresses. They eliminate
the need for cranes to lift large formworks for each floor or section of a multi-story
15 building. Generally, they are hydraulic or mechanically or electrically actuated and
can be repositioned upwardly to keep up with the construction pace. The primary
advantage is the ease of moving formwork or support structures to subsequent
levels.
[0004] However, these platforms are designed with a specific weight capacity in
20 mind. Exceeding this load can result in catastrophic consequences including the
failure of the platform, which can lead to injuries or even loss of life, not to mention
the financial implications of such a mishap.
[0005] Perimeter safety screens serve as protective barriers at the edges of
construction sites, especially those involving high-rise buildings. They prevent
25 objects and workers from falling off the edges, serving a dual purpose: protection
from external elements and safeguarding site personnel and public below.
[0006] When integrated with self-climbing platforms, these screens move upwards
with the platform, ensuring continuous protection throughout the construction
process. However, they also add to the overall load on the platform.
3
[0007] In the hustle and bustle of construction activities, workers might
inadvertently or intentionally overload the platform. This can be due to a lack of
awareness of the platform's weight limits, miscommunication, or simply the
pressures of meeting tight deadlines. Over time, even small additional weights,
when accumulated, can significantly exceed the pl 5 atform's designed capacity.
[0008] While there are existing solutions for monitoring loads on various
construction equipment, many are not specifically tailored for self-climbing
platforms. They might be cumbersome, lack real-time feedback, or simply not be
robust enough to withstand the harsh conditions of a construction site. This creates
10 a pressing need for a dedicated, reliable, and easy-to-use load monitoring system
for self-climbing platforms integrated with perimeter safety screens.
SUMMARY
[0009] 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
15 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
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
20 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.
[0010] In one implementation, it is a pivotal advancement in construction safety,
specifically tailored to enhance the operations on the external facets of high-rise
25 structures. Utilizing a combination of a self-climbing platform and the Perimeter
Safety Screen (PSS), both of which are meticulously engineered with predefined
load thresholds, this system embeds a sophisticated load monitoring sensor. When
paired with its integrated alarm mechanism, it ensures a vigilant surveillance of the
construction load, instantaneously alerting personnel when there's an overshoot of
30 the stipulated safety load limits. In the contemporary construction scenario, where
4
no other technology offers such proactive load monitoring on safety screens, this
invention stands out. Its distinct features, encompassing a round-the-clock load
monitoring alarm affixed to the wind or perimeter screen and a rapid-response alert
system for onsite workers, underscore its value. By prompting timely relocation of
excessive loads, this invention plays 5 a crucial role in averting potential structural
damages and ensuring worker safety, making it an indispensable tool for modern
construction methodologies, especially when integrated with platforms like Self-
Climbing Platforms and Perimeter Safety Screens.
[0011] In one implementation, the present invention proposes a load monitoring
10 system for a self-climbing platform (SCP). A system for load monitoring of selfclimbing
platform comprises a plurality of sensors. The plurality of sensors are
mounted at the base of the plurality of the platforms.
The system is communicatively coupled to the plurality of sensors. the system
comprises an obtaining module, a sorting module, a identifying module, a
15 computing module, a determining module and publishing module. The obtaining
module is coupled with a processor. The obtaining module is configured to obtain
a real time load data from the plurality of sensors mounted at the base of each of
the platform. The real time load data comprises a structural load and a work load.
The structural load is calculated based on the structural members used in the
20 platform. The sorting module is coupled with the processor. The sorting module is
configured to sort the real time load data for each of the platform. The identifying
module is coupled with the processor. The identifying module is configured to
identify the load for each of the platform. The computing module is coupled with
the processor. The computing module is configured to compute a load sustaining
25 capacity of each of the platform based on real time load condition and historical
usage data. The determining module is coupled with the processor. The
determining module is configured to determine the overload condition of each of
the platform by comparing real time load data with the load sustaining capacity.
The publishing module is coupled with the processor. The publishing module is
30 configured to publish a multistage alarm, in specific zones of a SCP based on load
condition. The alarm is one or more sound alarm, visual indicator and messages.
5
BRIEF DESCRIPTION OF THE DRAWINGS
[0012] The foregoing detailed description of embodiments is better understood
when read in conjunction with the appended drawings. For the purpose of
illustrating the disclosure, there 5 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.
[0013] 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
10 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
matter.
[0014] Figure 1 illustrates a network implementation of system, in accordance with
an embodiment of the present subject matter.
15 [0015] Figure 2 illustrates the system, in accordance with an embodiment of the
present disclosure.
[0016] Figure 3 illustrates a method for in accordance with an embodiment of the
present disclosure.
[0017] Figure 4 illustrate the side view of the platform with the plurality of the
20 sensors.
[0018] Figure 5 illustrate the bottom view of the platform with load direction.
[0019] 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
25 illustrated herein may be employed without departing from the principles of the
present subject matter described herein.
DETAILED DESCRIPTION OF THE PRESENT SUBJECT MATTER
[0020] Some embodiments of this disclosure, illustrating all its features, will now
be discussed in detail. The words "comprising," "having," "containing," and
6
"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
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 5 "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
of embodiments of the present disclosure, the exemplary, system and methods are
now described. The disclosed embodiments for are merely examples of the
10 disclosure, which may be embodied in various forms.
[0021] 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
embodiments. For example, although the present disclosure will be described in the
context of system and a method, it will readily recognize that the method and system
15 can be utilized in any situation where there is need for load monitoring of selfclimbing
platforms. 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 features described herein.
[0022] As described in the previous section, in modern construction, self-climbing
20 platforms have become essential tools, especially for multi-story projects, allowing
formwork or support structures to ascend with the building's progression without
the need for cranes. These platforms, whether hydraulic or mechanically or
electrically actuated, have specific weight capacities; surpassing these limits can
lead to severe consequences, including potential platform failure, injuries, or
25 financial losses. Perimeter safety screens, integrated with these platforms, offer
protection by preventing falls, but they add to the platform's overall load. Despite
the risks of overloading, often exacerbated by miscommunication or tight deadlines,
current monitoring solutions are not always suited for these platforms, highlighting
a critical need for a dedicated and reliable load monitoring system.
30 [0023] In one embodiment the present subject matter described herein pertains to a
load monitoring and alarm mechanism specifically designed for self-climbing
7
platforms with perimeter safety screens. The system is mounted directly onto the
self-climbing platform and serves to continuously monitor the load on the platform.
If the weight approaches or exceeds the designated safe limit, the system triggers
an alarm. This alarm can manifest in multiple ways including sounds, messages, or
other notifications, e 5 nsuring that site personnel are immediately alerted.
[0024] In the following description various embodiment and components have been
disclosed
[0025] Load Measurement Mechanisms: Various load measurement mechanisms
can be integrated into this system:
10 [0026] Strain Gauges: These are devices that measure the deformation (strain) of
an object (like the platform). When the platform is loaded, it will slightly deform.
A strain gauge captures this deformation and converts it into an electrical signal
which can be used to calculate the weight.
[0027] Pressure Sensors: In hydraulic self-climbing platforms, the pressure within
15 the hydraulic system can be directly related to the weight on the platform. By
monitoring this pressure, the load on the platform can be determined.
[0028] Weight Sensors/Load Cells: These are often placed at the platform's support
points and measure the weight directly. They can provide an accurate representation
of the current load on the platform.
20 [0029] The Alarm System: Once the load is measured and processed by the central
unit, if a potential overload situation is detected, the alarm system is triggered. The
system can produce:
[0030] Audible Alarms: Loud enough to be heard over the typical construction site
noises.
25 [0031] Visible Alerts: Flashing lights, especially beneficial in noisy environments
or for those with hearing impairments.
[0032] Digital Messages: Sent to designated personnel, like site supervisors or
safety officers, via SMS, email, or app notifications.
[0033] Integration with the Self-Climbing Platform Given that self-climbing
30 platforms, as described, come with three individual platforms, each platform would
be equipped with its own load monitoring mechanism. This ensures that each
8
section's weight is independently tracked and any overloading on even a single
platform can be detected and addressed.
[0034] Benefits and Advancements Enhanced Safety: The primary advantage is, of
course, the enhanced safety. By continuously monitoring the load and alerting
personnel to potential overloading 5 situations, risks of platform failure are
significantly reduced.
[0035] Adaptability: The system can be calibrated according to the specific weight
limits of different platforms, making it versatile across different construction
scenarios.
10 [0036] Data Logging: Besides real-time monitoring, the system can log weight data
over time. This can be useful for post-project analysis, ensuring better safety
protocols in future projects.
[0037] Cost Saving: By preventing potential platform failures, the system can lead
to significant cost savings, not just in terms of potential damages but also in
15 avoiding project delays.
[0038] In conclusion, this present subject matter bridges the gap between the need
for high-rise construction equipment and the safety concerns that come with them.
By integrating a robust, reliable, and easy-to-use load monitoring and alarm
mechanism with self-climbing platforms, this system paves the way for safer and
20 more efficient construction projects.
[0039] User: additional information on the present subject matter: the weight data
is tracked and degradation on the platform is tracked. due to continuous load/ load
carrying capacity may decrease over time
[0040] Advanced Monitoring: Weight Tracking and Platform Degradation
25 Monitoring
[0041] Weight Data Tracking: In addition to real-time monitoring, the system is
equipped to log weight data consistently. This allows for several advanced
functionalities:
[0042] Trend Analysis: By analysing the weight trends over time, supervisors can
30 gain insights into usage patterns. Are there particular times of day when overloading
9
tends to occur? Are there specific phases in the construction process when the load
tends to spike? Such insights can be invaluable for preventive safety measures.
[0043] Historical Data Reference: In case of any incidents or for regular safety
audits, historical data provides a clear record of the platform's load over time.
[0044] Predictive Warnings: Advanced algorithms 5 can analyze the weight trends
and predict potential overloading situations before they occur, allowing for preemptive
corrective actions.
[0045] Platform Degradation Monitoring: Any structure, including self-climbing
platforms, will experience wear and tear with regular usage. This wear and tear can
10 affect its load-carrying capacity. Therefore, merely tracking the weight on the
platform is not enough; it's equally crucial to monitor the platform's degradation
over time.
[0046] Strain Gauge Analysis Over Time: Using strain gauges, not only can the
load be monitored, but by analyzing the strain patterns over extended periods,
15 indications about structural health can be inferred. For example, the same weight
causing more strain than it did a few months ago can indicate a degradation in the
platform's structural integrity.
[0047] Visual Inspection Automation: Cameras and image analysis algorithms can
be integrated to inspect the platform periodically. By comparing the current state of
20 the platform to previous states (using historical images), potential damage or wear
and tear can be detected.
[0048] Degradation Alerts: When degradation monitoring mechanisms detect
potential compromise in the platform's structural integrity, the system can generate
alerts. These alerts may recommend inspections, repairs, or replacements, ensuring
25 that the platform's degradation does not lead to safety hazards.
[0049] Platform Health Dashboard: All the data – from real-time weight, historical
weight trends, and degradation indicators – can be collated into a comprehensive
dashboard:
[0050] Accessible via Mobile Devices: Site supervisors, safety officers, and other
30 stakeholders can access this dashboard on their tablets or smartphones. This ensures
they have real-time data at their fingertips no matter where they are on the site.
10
[0051] Degradation Indicators: A clear visual representation, perhaps in the form
of a "health bar", can indicate the platform's current health status. As the platform
degrades over time, this health bar can reduce, giving a clear and intuitive
representation of the platform's current state.
[0052] Maintenance Logs: Every 5 time the platform undergoes maintenance,
repairs, or inspections, these can be logged into the system. This ensures there's a
clear record of all the actions taken to maintain the platform's health.
[0053] In summary, with the additional functionalities of weight data tracking and
platform degradation monitoring, the system not only ensures immediate safety but
10 also guarantees the long-term reliability of the self-climbing platform. By offering
stakeholders a clear picture of the platform's health and usage patterns, it paves the
way for data-driven safety and maintenance decisions.
[0054] While aspects of described system and method may be implemented in any
number of different computing systems, environments, and/or configurations, the
15 embodiments are described in the context of the following exemplary system.
[0055] Referring now to Figure 1, a network implementation 100 of system 102 is
disclosed. Although the present disclosure is explained considering that the system
102 is implemented on a variety of computing systems, such as a laptop computer,
a desktop computer, a notebook, a workstation, a mainframe computer, a server, a
20 network server, a cloud-based computing environment and the like. It will be
understood that the system 102 may be accessed by multiple users through one or
more user devices 104-1, 104-2, 104-3, 104-N. In one implementation, the system
102 may comprise the cloud-based computing environment in which a user,
interchangeably may referred to as a consumer, may operate individual computing
25 systems configured to execute remotely located applications. Examples of the user
devices 104 may include, but are not limited to, a portable computer, a personal
digital assistant, a handheld device, and a workstation. The user devices 104 are
communicatively coupled to the system 102 and a database 108 through a network
106.
30 [0056] In one implementation, the network 106 may be a wireless network, a wired
network or a combination thereof. The network 106 can be implemented as one of
11
the different types of networks, such as intranet, local area network (LAN), wide
area network (WAN), the internet, and the like. The network 106 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 5 Transfer Protocol (HTTP), Transmission Control
Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the
like, to communicate with one another. Further the network 106 may include a
variety of network devices, including routers, bridges, servers, computing devices,
storage devices, and the like.
10 [0057] In one example of implementation, Imagine a large skyscraper construction
site in downtown New York. As the construction progresses floor by floor, workers
heavily rely on the Self-Climbing Platform (SCP) with a Perimeter Safety Screen
(PSS) to safely execute tasks on the building's exterior. One day, as the construction
reached the 42nd floor, a team of workers, equipped with heavy materials, began
15 their tasks, not realizing they were gradually overloading the platform. However,
unlike the conventional platforms which lacked any warning system, this specific
SCP was integrated with the latest Load Monitoring & Alarm Mechanism. The
system was a cloud-connected device, as depicted in Figure 1, accessible through
various devices, including tablets, handheld devices, and workstations utilized by
20 site supervisors and safety personnel.
[0058] While on the ground, the site supervisor accessed real-time data of the
platform's load via his tablet, connected to system 102. This data was fetched
through a secured intranet network, network 106, which efficiently communicated
between the platform sensors, the cloud database 108, and the supervisor's device.
25 [0059] As the weight on the platform edged closer to its safety threshold, the
system's advanced load sensors detected the excess and immediately triggered the
alarm. The laborers, recognizing the alarm's urgency, promptly relocated some of
the heavy materials back inside the building, averting a potential catastrophe. The
system not only saved lives but also ensured the structural integrity of the SCP and
30 the building.
12
[0060] The construction company, recognizing the immense value and safety
brought by this innovation, decided to implement this system across all their
construction sites. They benefitted from the novel features, including continuous
load monitoring during work hours and instant alarms, ensuring labourer safety and
structural security. Furthermore, the interconnectedness 5 of this system allowed easy
monitoring, ensuring that irrespective of where the supervisors or safety personnel
were, they could always stay informed and act swiftly.
[0061] In one other embodiment, as modern high-rise construction projects grow
in complexity and scope, the need for inter-connected systems that can
10 communicate data in real-time becomes paramount. A networked system of selfclimbing
platforms, each equipped with a load monitoring system, paves the way
for advanced, centralized monitoring, predictive analysis, and enhanced site safety.
[0062] System Architecture: Individual Self-Climbing Platforms: Each platform is
equipped with load sensors such as strain gauges1, pressure sensors, and load cells.
15 They're also integrated with perimeter safety screens, which while providing
protection, also add to the overall load on the platform.
[0063] Onboard Data Processors: Each platform has its own data processing unit.
This unit processes data locally, converting raw signals into weight metrics,
comparing against predefined thresholds, and analysing degradation patterns.
20 [0064] Central Monitoring Hub: This is a centralized system where data from all
platforms converge. It's equipped with advanced computational capabilities to
handle vast amounts of data, run analyses, and produce insights.
[0065] Wireless Communication Infrastructure: Platforms communicate with the
central hub using a robust, construction-site suitable wireless system. This ensures
25 real-time data transmission, even in challenging environments.
[0066] System Working: Continuous Monitoring: Every self-climbing platform
constantly measures its load and evaluates it against its weight capacity. It also
monitors strain patterns over time to detect platform degradation.
[0067] Local Alerts: If a single platform detects a load nearing or exceeding its
30 capacity, it activates its local alert mechanisms—this could be in the form of an
audible alarm, flashing lights, or digital notifications.
13
[0068] Central Hub Analysis: Data from all platforms is sent to the central hub,
which performs several functions:
[0069] Trend Analysis: Understanding weight trends over time across multiple
platforms. It identifies patterns such as peak overload times, specific platforms that
5 consistently carry heavy loads, etc.
[0070] Predictive Analysis: Based on historical data and current trends, the hub
predicts potential overloading situations before they occur, enabling pre-emptive
actions.
[0071] Health Overview: It gives a holistic view of the health of all platforms in
10 the network, allowing for efficient resource allocation for maintenance or
replacements.
[0072] Centralized Notifications: The central hub can send out alerts and
notifications to site supervisors, safety officers, and other relevant personnel. This
ensures that even if a local alert is missed or unattended, there's a secondary layer
15 of notification.
[0073] Data Logging: The hub maintains a comprehensive database. This
encompasses real-time weight data, historical weight trends, platform degradation
indicators, maintenance logs, and more. This data can be accessed for safety audits,
predictive maintenance, or other analytic purposes.
20 [0074] Remote Access: Relevant stakeholders can access the system dashboard
remotely. This provides them with a real-time view of the construction site's status,
ensuring that they can make data-driven decisions, even when off-site.
[0075] Referring now to Figure 2, the system 102 is illustrated in accordance with
an embodiment of the present subject matter. In one embodiment, the system 102
25 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,
central processing units, state machines, logic circuitries, and/or any devices that
manipulate signals based on operational instructions. Among other capabilities, the
30 at least one processor 202 is configured to fetch and execute computer-readable
instructions stored in the memory 206.
14
[0076] The I/O interface 204 may include a variety of software and hardware
interfaces, for example, a web interface, a graphical user interface, and the like. The
I/O interface 204 may allow the system 102 to interact with the user directly or
through the client devices 104. Further, the I/O interface 204 may enable the system
102 to communicate with other computing 5 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
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
10 for connecting a number of devices to one another or to another server.
[0077] The memory 206 may include any computer-readable medium or computer
program product known in the art including, for example, volatile memory, such as
static random-access memory (SRAM) and dynamic random-access memory
(DRAM), and/or non- volatile memory, such as read only memory (ROM), erasable
15 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.
[0078] The modules 208 include routines, programs, objects, components, data
structures, etc., which perform particular tasks or implement particular abstract data
20 types. In one implementation, the modules 208 may include an obtaining module
212, a sorting module 214, a identifying module 216 and a computing module 218,
a determining module 220, a publishing module 222 and an other modules 224. The
other modules 224 may include programs or coded instructions that supplement
applications and functions of the system 102. The modules 208 described herein
25 may be implemented as software modules that may be executed in the cloud-based
computing environment of the system 102.
[0079] 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
210 may also include a system data 226, and other data 228. The other data 228
30 may include data generated as a result of the execution of other modules 224, and
system data 226 may include data generated as a result of the execution of the
15
obtaining module 212, the sorting module 214, the identifying module 216,
computing module 218,determing module 220, publishing module 222, in the other
modules 208. The detailed description of the modules 208 along with other
components of the system 102 is further explained by referring to figures 2.
[0080] In one implementation, at first, a user may 5 use the user device 104 to access
the system 102 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 102 for customizing the system 102,
preparing various notification templets and data presentation templets. Further, the
10 system 102 may employ the obtaining module 212, the sorting module 214, the
identifying module 216, the computing module 218, the determining module 220,
the publishing module 222 and the other modules 224 for load monitoring of selfclimbing
platforms. The detailed working of the plurality of modules is described
below.
15 [0081] Referring now to Figure 3, a method 300 for is shown, in accordance with
an embodiment of the present disclosure. The method 300 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, functions, etc., that perform particular functions or
20 implement particular abstract data types. The method 300 may be practiced in a
distributed computing environment where functions are performed by remote
processing devices that are linked through a communications network. In a
distributed computing environment, computer executable instructions may be
located in both local and remote computer storage media, including memory storage
25 devices.
[0082] The order in which the method 300 is described is 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 300 or alternate methods.
Additionally, individual blocks may be deleted from the method 300 without
30 departing from the spirit and scope of the disclosure described herein. Furthermore,
the method can be implemented in any suitable hardware, software, firmware, or
16
combination thereof. However, for ease of explanation, in the embodiments
described below, the method 300 may be considered to be implemented in the above
described in the system 102.
[0083] In the embodiment, Obtaining Module 212: Initiates the process by
obtaining the load data from the plurality 5 of the platforms 402 in SCP. This relates
to "Step 302: OBTAIN LOAD DATA" in the method. In this step, the processor
202 obtained the real time load data from the plurality of the sensors 404-1,404-
2,404-3,404-4 mounted at the base of the platform 402. The each of the platform
402 comprises plurality of the sensors 404-1,404-2,404-3,404-4 mounted at the
10 base. The plurality of the sensors 404-1,404-2,404-3,404-4 measures the real time
load on the platform 402. The obtaining module 212 further obtains the data related
to the structural load of the platform. The structural load is based on the structural
members used in the platforms 402. The processor 202 calculates the load of the
platform 402 based on the structural components used in the platform 402. The
15 obtaining module 212 obtains the load data from the plurality of the sensors 404-
1,404-2,404-3,404-4 mounted at the base of the platform. The processor processes
the load data from the plurality of the sensors 404-1,404-2,404-3,404-4 and
calculate the real time load on the each of the platform separately.
[0084] Sorting module 214: the sorting module 214 receives the real time load data
20 for each of the platform 402 from the obtaining module 212. The sorting module
214 sort out the real time load data for each of the platforms 402. The plurality of
the sensors 404-1,404-2,404-3,404-4 provides the real time load data to the
processor 202, the sorting module 214 separate out the data for each of the platform
402.
25 [0085] Identifying module 216: the receiving module 216 receives the sorted data
from the soring module 214. The identifying module is configured to identify the
real time load data for the each of the platform. The each of the platform comprises
plurality of the sensors 404-1,404-2,404-3,404-4. The combination of the plurality
of the load data from the load sensors 404-1,404-2,404-3,404-4 is processed and
30 the final real time load for the each of the platform 402 is identified with the help
of identifying module 216.
17
[0086] Computing module 218: the computing module 218 receives the real time
load data from the identifying module 216 for the each of the platform 402. This
corresponds to "Step 304: GENERATE A MAXIMUM LOAD CARRYING
CAPACITY BASED ON DESIGN LOAD CALCULATIONS OF THE
MEMBERS USED IN STRUCTURE". 5 The computing module 218 is configured
to compute the load sustaining capacity (load carrying capacity) for each of the
platform 402 based on the design calculation of the strength of the members used
in the structure and the historical data. The computing module calculates the load
sustaining capacity for each of the platform 402. The load carrying capacity varies
10 for the each of the platforms as the processor calculates the load sustain capacity
based on the historical records and the design structures used for the platform 402.
This load sustain capacity is the maximum load carrying capacity for the each of
the platform 402. This load carrying capacity is measured by checking the historical
data and the previous design calculations.
15 [0087] Determining module 220: the determining module 220 receives the laod
sustain capacity for each of the platform 402 from the computing module 218. the
determining module 220 is configured to determine the overload condition for the
platform by comparing real time load of each of the platform 402 with the load
sustain capacity for the each of the platform 402. The determine module 220 check
20 the load sustaining capacity for each of the platform 402 and compares it with the
real time load. During the operation determining module 220 continuously compare
the real time load with the load sustain capacity for each of the platform.
[0088] Publishing Module 222: the publishing module 222 receives the data from
the determining module 220. The publishing module 222 activates alert systems.
25 After the real time load is compared with the load sustaining capacity, this module
takes action by publishing alerts. Depending on the comparison's outcome, it might
trigger an alarm, show a visual indication, or send a message. This aligns with "Step
306: COMPARE LOAD AGAINST MAXIMUM LOAD" and "Step 308: WHEN
90% SAFE LOAD CONDITION IS REACHED, A MASSAGE SHOULD BE
30 TRIGGERED TO SAFETY OFFICERS AND IN CHARGE, AND IF WORKING
LOAD EXCEEDS PUBLISH ONE OR MORE OF ALARM, VISUAL
18
INDICATION OR MESSAGE". The alert message comprise the information
related to the platforms. The message shows the list of the platforms with load more
than the load sustaining capacity. Based on the list of the platforms the in charge
take the necessary actions by provide signals via alarms and visual indicators.
[0089] During operation, in the first 5 stage, the platform purlin carries a specified
load, and the buzzer remains silent, indicating safe operation. The load sensors
continuously monitor the load on the purlin, assessing it for uniform distribution
(UDL). In the second stage, if the load exceeds the specified threshold, the sensors
detect the overload condition. In the third stage, the buzzer/Alarm on the affected
10 platform starts buzzing, signalling the overload. The system continues to monitor
the load, maintaining awareness of any changes. In the fourth stage, the buzzing
will persist until the load is reduced back to a safe level. In the fifth stage, once the
load is within safe limits, the buzzer stops buzzing, confirming that the structure is
secure and ready to work.
15 [0090] Referring now to Figure 4 and Figure 5, illustrate the different views of the
platform 402 with the plurality of sensors 404-1, 404-2,404-3,404-4. The figure
shows the plurality of the sensors 404-1, 404-2,404-3,404-4 mounted at the base of
the platform 402. The plurality of the sensors 404-1, 404-2,404-3,404-4 are
configured to measure the live load on the platform 402.
20 [0091] In on other embodiment, the following step illustrate the method of
utilization of the system.
[0092] Step 1: System Installation: Mount the load monitoring system onto each of
the three self-climbing platforms. Integrate perimeter safety screens with the selfclimbing
platforms, ensuring they are securely attached and the load they add is
25 calibrated into the initial system settings.
[0093] Step 2: Calibration: Initiate the system's calibration mode. Load each
platform to its known safe weight capacity and calibrate the system to recognize
this as the upper threshold. The upper threshold will be determined based on design
load calculations.
30 [0094] Record the initial strain or pressure as baseline data for each platform using
the strain gauges or pressure sensors respectively.
19
[0095] Step 3: Continuous Weight Monitoring
[0096] Activate the system's continuous monitoring mode.
[0097] The system, using strain gauges, pressure sensors, or load cells, will
continuously measure the load on each platform.
[0098] The system processes these measurements, 5 converting signals into weight
metrics and comparing them to the predefined thresholds.
[0099] Step 4: Degradation Monitoring Initiation
[00100] Instruct the system to periodically analyse strain patterns or
hydraulic pressure changes over extended periods.
10 [00101] Set the system to carry out automated visual inspections at defined
intervals using integrated cameras and image analysis algorithms.
[00102] Step 5: Real-time Alert Mechanism
[00103] If the system detects a load nearing or exceeding the platform's weight
capacity, it will activate the real-time alert mechanism. Depending on user settings,
15 the system will either emit an audible alarm, activate flashing lights, or send digital
messages to designated personnel.
[00104] Step 6: Data Logging and Trend Analysis Instruct the system to log weight
data consistently. Utilize the system's software to conduct trend analyses,
examining potential overloading patterns or recurrent high-load periods.
20 [00105] Step 7: Platform Health Assessment Direct the system to compare current
strain or pressure data to baseline data to assess potential platform degradation. If
degradation patterns are detected, the system will generate maintenance or
inspection recommendations.
[00106] Step 8: Access and Review Access the platform health dashboard via
25 mobile devices or designated terminals. Review real-time weight data, historical
trends, and platform degradation indicators. Maintenance logs can be consulted to
verify any actions taken or required.
[00107] Step 9: Predictive Analysis (Advanced) If equipped with advanced
algorithms, instruct the system to predict potential overloading situations based on
30 current trends and historical data. Receive pre-emptive alerts or recommendations
to avoid potential overloading in the future.
20
[00108] Step 10: System Maintenance and Update Schedule regular maintenance
checks for the load monitoring system to ensure it remains in optimal working
condition. Update the system's software as required to benefit from improved
algorithms or additional features. By following this method, construction sites can
ensure the safety and longevity of their 5 self-climbing platforms, minimizing risks
associated with overloading and platform degradation.
[00109] 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
10 described. Rather, the specific features and methods are disclosed as examples of
implementations of.
15
20
25
30
21
We claim-
1. A system (102) for load monitoring of self-climbing platform (SCP),
wherein the system (102) comprising:
a plurality of sensors (404-1,404-2,404-3,404-4), wherein the
plurality of sensors (404 5 -1,404-2,404-3,404-4) are mounted at the
base of the plurality of the platforms (402);
the system (102) is communicatively coupled to the plurality of
sensors (404-1,404-2,404-3,404-4), wherein the system (102)
comprises:
10 an obtaining module (212), coupled with a processor (202),
wherein the obtaining module (212) is configured to obtain a real
time load data from the plurality of sensors (404-1,404-2,404-
3,404-4) mounted at the base of each of the platform (402),
wherein the real time load data comprises a structural load and a
15 work load, wherein the structural load is calculated based on the
structural members used in the platform;
a sorting module (214), coupled with the processor (202),
wherein the sorting module (214) is configured to sort the real
time load data for each of the platform (402);
20 an identifying module (216), coupled with the processor (202),
wherein the identifying module (216) is configured to identify
the load for each of the platform (402);
a computing module (218), coupled with the processor (202),
wherein the computing module (218) is configured to compute a
25 load sustaining capacity of each of the platform (402) based on
real time load condition and historical usage data;
a determining module (220), coupled with the processor (202),
wherein the determining module (220) is configured to
determine the overload condition of each of the platform (402)
30 by comparing real time load data with the load sustaining
capacity;
a publishing module (222), coupled with the processor (202),
wherein the publishing module (222) is configured to publish a
multistage alarm, in specific zones of a SCP based on load
35 condition, wherein the alarm is one or more sound alarm, visual
indicator and messages.
22
2. The system (102) for load monitoring as claimed in claim 1, wherein the
plurality of sensors (404-1,404-2,404-3,404-4) are selected from the group
consisting of strain gauges, Pressure sensors and weight sensors.
3. The system (102) 5 for load monitoring as claimed in claim 1, wherein the
alarm system comprises one or more audible alarms, visible alerts and
digital messages sent to the designated person.
4. The system (102) for load monitoring as claimed in claim 1, wherein the
10 publishing module further comprises sending remote alerts to supervisors
via SMS or mobile applications when load exceeds the threshold value.
5. The system (102) for load monitoring as claimed in claim 1, wherein the
power source is selected from the group consisting of a solar panel, a
15 lithium-ion battery, and a backup diesel generator for extended operation.
6. The system (102) for load monitoring as claimed in claim 1, further
comprising a battery management unit for optimizing power consumption
and switching between power sources.
20
7. The system (102) for load monitoring as claimed in claim 1, wherein the
work load comprises a machine load, a workforce load and material load.
8. The system (102) for load monitoring as claimed in claim 1, wherein the
25 alarming system is configured to provide an separate signal based on the
overload condition of each of the platform.
9. A method for load monitoring of the self-climbing platform, wherein the
method for load monitoring comprises:
obtaining, by a processor (202), a real time load data from the
plurality of sensors (402) mounted at the base of each of the
platform (402);
sorting, by the processor, the real time load data for each of the
platform (402);
identifying, by the processor (202), the real time load for each of
the platform (402);
computing, by the processor (202), a load sustaining capacity of each of the platform (402) based on real time load condition and historical usage data;generating, by the processor (202), a maximum load carrying
capacity based on the historical data and real time load data;
determining, by the processor (202), the overload condition of each
of the platform (402) by comparing real time load data with the load sustaining capacity; publishing, by the processor (202), a multistage alarm, in specific
zones of a SCP based on load condition, wherein the alarm is one or more sound alarm, visual indicator and messages.