An innovative approach in modelling and design of smart washing machine with automatic drying with estimating energy and water consumption using AI

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International Conference on Recent Trends in Data Science and its Applications
DOI: rp-9788770040723.213
1108
An innovative approach in modelling and design of
smart washing machine with automatic drying with
estimating energy and water consumption using AI
Narender Chinthamu,
MIT (Massachusetts Institute of
Technology) CTO Candidate,
Enterprise Architect
narender.chinthamu@gmail.com
Priya Kohli,
Assistant Professor, School of
Computing,
Graphic Era Hill University,
Dehradun, R/S, Graphic Era Deemed
To Be University, Dehradun, 248002,
pkohli@gehu.ac.in
Vigilson Prem M,
Professor, Department of Computer
Science and Engineering,
R.M.K. College of Engineering and
Technology,
vigiprem@gmail.com
Rajeev Kudari,
Assistant Professor, Department of
Computer Science and Engineering,
Koneru Lakshmaiah Education
Foundation,
Vaddeswaram, Guntur-522502,
Andhra Pradesh, India,
krajeev@kluniversity.in
Rupinder Singh,
Associate Professor,Chitkara
University Institute of Engineering and
Technology,Chitkara,University,
Punjab,India,
dca.rupinder@gmail.com
rupinder.1153@chitkara.edu.in
Khunt Abhay,
Student, Department of Computer
Science and Engineering,
Lovely Professional university ,
khuntabhay2001@gmail.com
Abstract—The automations in smart appliances play a
vital role. The evolution of automation is the adoption of smart
machines and appliances for industrial and domestic purposes.
This helps to obtain smart home. They are implemented
through artificial intelligence with optimization techniques. To
replace the convention washing machine, the proposed system
is introduced. This is functioned through adopting artificial
intelligence to operate automatically through various devices.
The smart washing machine is designed through machine
learning techniques with sensors. This helps to adopt a newer
way in washing that helps to reduce energy consumption
through estimating the power utility. This is accompanied with
automatic drying techniques. The system is completely
automatic to perform the washing process. It is enhanced
through internet of things to enable the two way
communication system. The smart meter is used to record the
energy consumption. The efficiency and performance
parameter are higher when compared to conventional washing
machines. Thus the proposed system enhances automation in
washing machines with automatic drying and estimates the
amount of energy consumption.
Keywords—Washing machine, smart machines, artificial
intelligence, induction motor drives, microgrids, energy
management system, smart meters
I. INTRODUCTION
The rise of artificial intelligence play a versatile role in
the sophistication and development of human lives through
improvement in various fields ranging from industry and
domestic applications. The control and monitoring of these
appliances are complex and hence they are done through
automation through artificial intelligence [1]. The artificial
intelligence is defined as the progression of training the
machines to function as similar to that of human
intelligence. This helps to solve various complex problems
to achieve the obtained results. They are functioned without
human interference. These artificial intelligences are used to
obtain the decision-making techniques rapidly. The
advancement of artificial intelligence from the past decade
is due the increase in demand. This includes machine
learning, artificial neural network and deep learning
techniques. The application of artificial intelligence helps in
agriculture, industry, education and energy management
system. They play a significant role in various fields through
improving automations and performing the functions
without the assistance of humans [2]–[4].
Hence this helps to reduce the computational time and
hence helps to obtain reduction in cost parameter. This is
accomplished through the data monitoring and integration,
smart control system with communication system helps to
the rise of artificial internet of things. The automations also
helps in load forecasting. This is done through the machine
learning with artificial intelligence to enhance energy
consumption. This is done through the optimization
techniques. This includes long term and short term load
forecasting techniques [5]–[7].
The load forecasting helps to predict the power
consumption and thus leads to the reduction of power utility.
The load forecasting is done through analyzing the physical
parameters such as weather, climatic conditions and
consumers need at the particular period of time. This plays
an important role in the complex systems. These
automations and advanced innovations helps to determine
the performance efficiency and helps in the reduction of
carbon emission in the ecosystem. The adoption of
automations in the renewable energy system helps to
improve a greener environment. They are highly reliable
and much efficient in performance. The control and

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functioning of the system are enhanced through the
optimization techniques. They help to monitor and control
the system based upon the priority and interest of the user.
They are largely used in complex problems to obtain an
accurate results [8]–[10]. Thus the automation in diverse
field are achieved through the artificial intelligence
techniques. These techniques are largely used in the hybrid
renewable energy system to control and monitor. Thus
utilizing it in an efficient way. These artificial intelligence
paved way for the development of introduction of digital
platform. It includes the evolution of virtual technology.
They are formed through the virtual and augmented reality
through the internet of things. In automation in the domestic
appliances, the machine learning plays a vital role. They are
implemented with forecasting mechanism to adopt
automation in the functioning system [11]–[13].
This helps to increase the efficiency of the system
through various control parameters. They are accompanied
with the internet of things to achieve the two way
communication systems. This helps to provide the
monitored information to the user at other the end even at
the remote places [14]–[16].
Thus the domestic appliances are controlled to achieve
much sophistications in day to day life. Thus the appliances
in the home are tend to completely automated through the
machine learning and optimization algorithms that takes in
to another world. The advancement in the technology are
increasing largely due to the various sophistications and it
helps to make lives easier. The machine learning provides a
different approach in the functioning of the washing
machine. The washing machine is an electrical and
electronic system used to wash clothes. The washing
machines are classified into top load and front load
categories. The washing machine includes washing drum,
sensors and inner drum. The washing machine are
controlled through the control mechanism [17]–[19].
Fig 1: Smart meter drives
The figure 1 demonstrates the smart meter drives. This
includes control system, smart meter, appliances and
controller. This electronic control mechanism is denoted as
programmer. This is done through the microcontroller
through sensors and actuators. It includes ultrasonic cleaners
for enhancing numerous functions. The real time operating
system is used to function the washing machines. They are
classified into hard real time and soft real time operating
systems. These are classified based upon their functioning
properties. The microprocessors and the microcontrollers
are functioned and programmed using 2nd language
programming languages. The various topographies of
washing machine includes spin settings, washing types
based upon the material of the cloths and capacity of the
load. This helps in various advantages through adopting
faster washing speed. This leads to obtain a newer way in
washing the cloths with automatic drying. This also helps to
determine the water quantity and energy consumption[27].
These helps to develop the overall home energy
managements system. Due to the demand in the electricity,
these artificial intelligence techniques helps to eliminate the
increasing demand.
Fig 2: Home energy management system
The figure 2 represents the home energy management
system. The expansion of the smart machines leads to the
implementation of smart home and smart grid. This helps in
diverse ways through communication system. The
development of smart washing machine includes the two
way communication to monitor and provide instruction to
the washing machine through remote places.
The complete washing of clothes are done through the
smart washing machine. This includes image processing
techniques with feature extraction techniques. The washing
machine used in the industry are highly profited through the
machine learning techniques. They are tend to function
much faster and hence helps to save time. The overall
functioning of the washing machines are instructed
externally using the smart touch screen which provides
various options for washing. They are provides with various
visual effects and automations. This helps to create an
interest to operate and function the washing machines. This
helps to reduce the manual efforts. Thus the proposed
system is used to replace the use of the conventional
washing machine. The smart washing machine involves the
detection of clothes through which the quantity of water,
detergent quantity and the time of washing is estimated and
provides. The functioning of the washing machine includes
four stages such as water consumption, soaking, washing
process and drying [20]–[22].
This also helps to determine the amount of power
consumption. This helps to maintain the usage thereby
saving the power consumption. The energy consumption of
the electrical utilizations are estimated independently

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through the energy disaggregation. This helps to determine
and estimate the power consumed by the each and each
appliances in the home and industry. These data are
collected and processed to complete the smart functioning of
the washing machine. This includes numerous data that are
need to be stored. This is done through the internet of things
with cloud computing techniques. They are also beneficial
in the analysis and detection of fault and its performance.
Thus the automations leads to improve the home energy
management system [26].
The energy disaggregation plays a prominent role. They
are classified into two categories based upon the intrusive
and non-intrusive load balancing and monitoring system.
The intrusion load balancing and monitoring is the hardware
approach in which the smart meters and externally attached
to the appliances to measure the performances. The non-
intrusion load balancing and monitoring is the software
approach. These energy segregation plays an important role
in the large scale industrial sectors to estimates the
consumption of power with estimating individually.
II. PROPOSED SYSTEM
The smart washing machine is introduced to enhance
innovation in the home automation system. This is
developed through the energy decomposition techniques to
improve smart home automation system. The smart washing
machines are the innovative approach that are implemented
through digital platform. The washing machine is the
integration of electrical and electronic equipment’s used for
rapidly washing the clothes. This washing process includes
soaking of clothes in combination of water and soapy
solution to remove the dirt particles through the process of
spinning. Then it is allowed to drain the water after the
completion of the spinning process. This overall process is
implemented through fully automatic manner using artificial
intelligence adopting machine learning techniques. This
helps in automatic drying of clothes after the specified
spinning time based upon the loads. The complete
functioning of the machine are intimated to the user through
internet of things [23]–[25].
Fig 3: Smart washing machine
The figure 3 represents the smart washing machine. The
components of washing machine includes hot water inlet
valve, cold water inlet valves, door, inner drums, oulet water
hose, filter and oulet line. These smart washing machine
helps in analysis of clothes based on material and then
initialise the washing process. They are differentiated
through the image processing techniques. The sensors are
used to sense the temperature of water used in the operation
process. This automatically detects the quantity of water and
detergents that are needed for the particular amount of loads.
III. FUNCTIONING OF SMART WASHING MACHINE
The operation of the smart washing machine includes
two way communication system that seems the complete
functioning process to the user. This internet of things play a
prominent role in the monitoring and controlling the
operation. The first step involved in the washing machine
includes the processing the command to the machine
through smart screen display unit.
Here the detailed information regarding the number of
clothes are initiated. The machine itself recognised the
amount of water and detergent needed for the prescribed
loads. Then it automatically fetches the water from the water
inlet valve. This includes both the hot water valve and cold
water valve based upon the requirements. The clothes are
dumped into the inner steel tub in which the process takes
place. The diamond drum used inside the washing machines
are highly efficient and gives best results. The quick wash is
more reliable and fastest wash cycle with higher energy
saving mode of functioning. The smart motion technology is
employed. The smart motion techology are differentiated
into three types. This rotating movement helps the clothes to
remain tangle free and protects the clothes from earlier
fading without causing any torn. The advanced techniques
employed in smart washing machine involves the improved
drum with twinwash process, wash technology with O2,
automatic dispenser technology with internet of things.
The smart washing machine tends to provide
sophistication through automatic on and off through the
instruction provided by the user through their mobile phone.
This helps to function rapidly. This includes sending and
receiving of instructions to mobile phone during the
working conditions of the washing machine. This also helps
to pause the functioning and can able to revine later. The
functioning of washing machines includes top load and front
load washing machines. They are classified based upon the
operation and designing parameters. In which the top load
washing machine is the efficient way to utilize. This
includes the use of impellers that helps to achieving
minimum quantity of water for washing purposes. Hence it
helps to save water. The drying process is proceeded after
washing the clothes. The drying process depends upon the
rpm. This determines the spin speed in washing machines.
The increased rpm leads to faster drying of clothes. The spin
cycle ranging between 300-500 rpm is usually used for
drying the clothes. This varies based upon the material and
colour of the clothes. Thus the overall progression is done
through the integration of machine learning with

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optimization algorithm. Here genetic algorithm used for
optimize the overall functions.
IV. SMART WASHING MACHINE THROUGH ARTIFICIAL
INTELLIGENCE
The combination of machine learning with internet of
things constitute the functioning of smart washing machines.
This helps to adopt the decision making techniques similar
to human intelligence. This helps to obtain well-organized
functioning through adopting comfort in operation,
advanced design parameters, safety and easier maintenance.
These parameters helps in efficient energy saving. The
energy saving includes the demand side management. This
is accompanied with image processing and feature
extraction techniques. This includes sensors for sensing the
external physical parameters. The various sensor used in
functioning of washing machine includes pH sensor, light
sensor, temperature sensor and heat sensor. They helps to
indicate the appropriate functioning in washing the clothes.
The image processing techniques are used to identify the
material of clothes based upon the predefined data. They are
proceeded through the feature extraction techniques. This
helps to convert the obtained raw data into numerical data to
perform the functioning. These data are used for the
optimization techniques that performs the overall
functioning in washing machines.
Fig 4: Smart washing machines through optimization techniques
The figure 4 demonstrates the functioning of smart
washine machines. Here genetic algorithm is used to
program the functioning based upon the needs and priority
of the users with enhancing instructions to control and
monitor the functioning of the washing process. They are
implemented through the pre-procesed information in the
dataset. This stores the complete information regarding the
material of clothes, detergent amount and water level
dependent upon the load. This is employed through the
testing and training process which helps to make the system
fully automatic. The speed of the rotating drum determines
the drying process and it is regulated based upon the fabrics.
The higher rpm leads to faster performance in washing and
drying process. This also helps to reduce the occurrence of
noise occurred in washing machine. The noise can be
neglected through active casting technique. This includes
the feedforward structure to control the noise parameter.
The noise level of low frequency upto 500hz is acceptable.
Increase in the noise level need to be reduced. The increase
in noise leads to vibrations in the machine. These vibrations
are caused due to the improper suspension of the drum
inside the machine.
V. MATHEMATICAL MODEL ANALYSIS AND FUNCTIONING
OF WASHING MACHINE
The suspension co-ordination of the drum in washing
machine is refered as spring damping system. The vibrations
occurred in the machines are obtained through the
differential equations. Some of the assumptions are denoted
as disregarding the mass of spring and damper and avoiding
the deformation in the system.
Fig 5: Mathematical model
The figure 5 demonstrates the mathematical model of
suspension system. Accoroding to Lagrange equation, the
dynamic equation is states as follows,
T is the kinetic energy of the system,
P is the potential energy,
L is denoted as energy dissipation function
The kinetic energy of system is denoted as,

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where vg is the centroid velocity of the inner and outer
cylinder respectively. The interconnection between the box
and the inner cylinder are immovable in nature. There are
two types of cylinders inside the machine namely inner and
outer cylinder. They are inflexible in nature.
TABLE I. MOMENT OF INERTIA
Moment of inertia kg-mm2
Motor shaft
2.27 × 104
Inner cylinder
4.6 × 105
Outer cylinder
1.01 × 104
Counterweight
2.4 × 104
Damping of spring
1.98
Suspension of spring
6.1
The table 1 represents the moment of ineria of the
components of washing machine. The vibrations in the
system are neglected through magnetorheological dampers.
This is used to interconnect with the drum and cabinent.
This reduces the vibrations adopted with control strategies.
The control strategies includes adoption of fixed (current)
values through a constant spin operating condition. This
includes when a constant spinning condition, the training
stage is initiated in multiple times with reduced ramp signal.
The vibration and noise of the machine are identified and
examined at the training phase [25].
The logical understanding of the functioning of washing
machine is demonstrated as follows,
D = 0 (Door open condition), D =1 (Door closed condition)
L = 0 (Low water level), L = 1 (Higher water level)
T = 0 (Low temperature), T = 1 (Higher temperature)
The motor operates when the value of D, L and T are
higher.
The heater functions when the D and L are higher and T
is lower.
The water valve operates when D and T are higher and
reduced value of L.
TABLE II. LEVEL OF FUNCTION
Door
(D)
Level
(L)
Temperature
(T)
Valve
(V)
Motor
(M)
Heater
(H)
0
0
0
0
0
0
0
0
1
0
0
0
0
1
0
0
0
0
0
1
1
0
0
0
1
0
0
1
0
0
1
0
1
1
0
0
1
1
0
0
0
1
1
1
1
0
1
0
The table II represents the logical functioning
parameters for operation and functioning of washing
machines. The washing machine consists of three sensors
namely the temperature sensor, door sensor and water
sensor. They forms the basics for the operation of the drum.
Thus the mathematical model determines the functioning of
the system to neglect vibrations and to achieve higher
efficiency. Through a smoothening of current vibration map,
it helps to determine the current value at which the vibration
responds during the training phase. This helps to find out the
optimum solution thus maintaining the constant spin
functioning condition. This helps to enhance reduction in
the power consumption. The overall process is optimized
through genetic algorithm. The genetic algorithm is a tool
for resolving both the controlled and unconfined problems.
These complex problems are solved to obtain optimum
results.
Fig 6: Genetic algorithm
The figure 6 represents the genetic algorithm for control
and functioning of the machine learning. They are obtained
through the process of crossover and mutation. This helps to
optimize the system to achieve optimum solutions.
VI. SIMULATION RESULTS
The proposed smart washing machine using artificial
intelligence is implemented in proteus platform. This helps
to analyse and estimate various functioning parameters of
washing machines.
Fig 7: Simulation through Proteus
The figure 7 demonstrates the proteus simulation model
to estimate the energy and water consumption. The
simulation results are functioned through the logic
functioning.

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Fig 8: Simulation model and results
The figure 8 demonstrates the simulation model. This
helps to analyze the accurate solution to various constraints
in the functioning of washing machines. The output results
are evaluated through the simulation model. Thus the
proposed system provides 100% outcome in achieving
automatic drying with efficient energy and water
consumption through the aid of machine learning
techniques.
VII. CONCLUSION
The proposed system helps to obtain automation in
washing machine through artificial intelligence. This
includes control and monitoring of the system through
machine learning techniques with internet of things. Thus
the two way communication system helps to provide the
information to the user even at remote places to monitor and
visualise the functioning. Thus the smart washing machine
helps to estimate the energy consumption through smart
meters. Various smart techniques are inculcated to improve
automations and smartness in functioning of the washing
machine. This supports to decrease the energy consumption
thus maintaining the demand side management.
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