Remote Control Research Articles

Perceptions of Muslim Educators on Postcolonial Education in the Philippines: A Qualitative Inquiry

The utilization of automated systems, controlled by the Arduino UNO microcontroller, can facilitate the efficient growth of plants in a compact greenhouse. The enclosed greenhouse structure helps in plant propagation as it optimizes the surrounding environment while it gathers sensory data. The greenhouse is structured with the corresponding sensors for specific abiotic factors mainly, the DHT11 for temperature and humidity, and The soil moisture sensor. This data from the greenhouse environment will then be processed by the system which utilizes a submersible water pump and irrigation systems, LED lights, and sensors for humidity, temperature, and moisture. The Arduino UNO controls the water resources competently as the major microcontroller, while sensors provide accurate data for managing the greenhouse environment. With automation features like the irrigation system and soil moisture sensor, water conservation, and proficiency are improved. LED light delivers reliable light sources, which promote optimal plant growth. Accurate data collection is ensured by proper sensor placement and protection. Remote monitoring and control via IoT platforms are much more practical and convenient than manually overseeing the plant environment. The Arduino UNO- Based system offers significant advantages, including decreased manual labor, cost-effectiveness, and advancements in agricultural practices to combat the damages brought by climate change to agriculture and meet the demands of a growing world population. Thus, continuous development to the prototype is necessary for the sustainability of both the agriculture and the automated greenhouse as this will further assist in the application of growing advancing technologies of the generation for agricultural development and plant care. Keywords: Automated greenhouse, Arduino UNO, programming, automation, prototype, sensors, agriculture, sustainability

Automated Prototype Arduino-based Mini-Greenhouse for Agricultural Sustainability

The utilization of automated systems, controlled by the Arduino UNO microcontroller, can facilitate the efficient growth of plants in a compact greenhouse. The enclosed greenhouse structure helps in plant propagation as it optimizes the surrounding environment while it gathers sensory data. The greenhouse is structured with the corresponding sensors for specific abiotic factors mainly, the DHT11 for temperature and humidity, and The soil moisture sensor. This data from the greenhouse environment will then be processed by the system which utilizes a submersible water pump and irrigation systems, LED lights, and sensors for humidity, temperature, and moisture. The Arduino UNO controls the water resources competently as the major microcontroller, while sensors provide accurate data for managing the greenhouse environment. With automation features like the irrigation system and soil moisture sensor, water conservation, and proficiency are improved. LED light delivers reliable light sources, which promote optimal plant growth. Accurate data collection is ensured by proper sensor placement and protection. Remote monitoring and control via IoT platforms are much more practical and convenient than manually overseeing the plant environment. The Arduino UNO- Based system offers significant advantages, including decreased manual labor, cost-effectiveness, and advancements in agricultural practices to combat the damages brought by climate change to agriculture and meet the demands of a growing world population. Thus, continuous development to the prototype is necessary for the sustainability of both the agriculture and the automated greenhouse as this will further assist in the application of growing advancing technologies of the generation for agricultural development and plant care. Keywords: Automated greenhouse, Arduino UNO, programming, automation, prototype, sensors, agriculture, sustainability

Smart Power Monitoring System Using IoT

The "Smart Power Monitoring System using IoT" constitutes a pioneering solution poised to revolutionize the landscape of power management in both residential and industrial settings. Anchored by the ESP8266 NODEMCU microcontroller, this system seamlessly integrates an array of state-of-the-art sensors and modules, all working in concert to deliver real-time monitoring, controlling capabilities. The predominant objective of this innovative system is multifaceted: to elevate energy efficiency, bolster security measures and enable remote monitoring through the dynamic fabric of the IoT. The ESP8266 NODEMCU, functioning as the system's central hub, orchestrates a symphony of components, including a current sensor for precise power consumption insights and a PIR sensor to intelligently detect human motion for enhanced automation. The inclusion of a GSM module ensures timely communication of critical alerts to users via SMS, underscoring the system's responsiveness. Additionally, a relay module facilitates the remote control of appliances, promoting user-friendly power management. A half-horsepower induction motor acts as a tangible load indicator, providing users with a visual representation of power fluctuations. The system, powered by a stable 9V 1 Amp DC supply, culminates its capabilities by leveraging the “ThingSpeak” platform to graphically display power consumption trends, empowering users to make informed decisions for sustainable and efficient energy practices. In essence, the "Smart Power Monitoring System using IoT" emerges as a comprehensive and forward-thinking solution, poised to redefine the paradigm of intelligent power management. Keywords: IoT technology, real-time monitoring, energy consumption analysis.

Optically controlled variable damping system based on PLZT ceramic/ERF in rectangular microchannel

Variable damping control technology based on intelligent materials of electromagnetic excitation has been widely used in the field of (semi-) active vibration control and fluid control. Unfortunately, a major drawback is the electromagnetic noise interference and low response speed. In this paper, a new optically controlled variable damping system based on PLZT ceramic/electrorheological fluid (ERF) is proposed. The mathematical models of the photovoltage generated by PLZT ceramics and the pressure difference between the two ends of the microchannel are established and verified by numerical simulation in COMSOL Multiphysics. Meanwhile, with the increase of light intensity, liquid flow rate and decrease of microchannel height and width, the pressure difference shows an uptrend. Optically controlled variable damping system based on PLZT ceramic/ERF is a control method with the advantages of a clean excitation source, remote control, no electromagnetic interference, and fast response speed, and has a good application prospect in the field of vibration control and fluid control.

Advanced Bayesian study on inland navigational risk of remotely controlled autonomous ship

The arise of autonomous ships has necessitated the development of new risk assessment techniques and methods. This study proposes a new framework for navigational risk assessment of remotely controlled Maritime Autonomous Surface Ships (MASS). This framework establishes a set of risk influencing factors affecting safety of navigation of a remotely-controlled MASS. Next, model parameters are defined based on the risk factors, and the model structure is developed using Bayesian Networks. To this end, an extensive literature survey is conducted, enhanced with the domain knowledge elicited from the experts and improved by the experimental data obtained during representative MASS model trials carried out in an inland river. Conditional Probability Tables are generated using a new function employing expert feedback regarding Interval Type 2 Fuzzy Sets. The developed Bayesian model yields the expected utilities results representing an accident’s probability and consequence, with the results visualized on a dedicated diagram. Finally, the developed risk assessment model is validated by conducting three axiom tests, extreme scenarios analysis, and sensitivity analysis. Navigational environment, natural environment, traffic complexity, and shore-ship collaboration performance are critical from the probability and consequence perspective for inland navigational accidents to a remotely controlled MASS. Lastly, important nodes to Shore-Ship collaboration performance include autonomy of target ships, cyber risk, and transition from other remote control centers.

GSM BASED SMART SWITCH

This review paper delves into the design and im- plementation of GSM-based smart switches, which offer users the ability to remotely control electrical appliances using GSM networks. These devices incorporate a SIM card to facilitate com- munication through SMS commands and phone calls, enabling remote appliance control with ease. The fundamental components of this system include a microcontroller, a GSM module, a relay, and a dedicated power supply. The microcontroller, programmed in the preferred language, plays a crucial role in command processing and relay management. It serves as the system’s central processing unit, orchestrating relay operations to facilitate appliance on/off control. This approach provides users with a cost-effective, efficient, and accessible solution for home automa- tion and appliance management. The practical applications of this technology extend beyond convenience to include enhanced security and energy efficiency. Users can remotely activate or deactivate appliances, including lighting, security gates, and doors. This review paper not only fosters a deeper understanding of electronics and GSM networks but also highlights their potential to contribute to an improved quality of life, making it a subject of great interest within the realm of IoT, home automation, and agriculture firm. Index Terms—Keywords: GSM, SMS Commands, Motor, Smart Switch, Microcontroller.

Smart Wheel Chair using IOT

The microcontroller based wheelchair using android is a device designed to assist individuals with mobility impairments. The system utilizes an Android application installed on a smartphone to control the movement of the wheelchair. The smartphone communicates with a microcontroller via Bluetooth, which is responsible for processing the received commands and controlling the movement of the wheelchair's motors. The system includes obstacle detection sensors that detect any obstacles in the wheelchair's path and prevent collisions. The microcontroller based wheelchair using android is a device that combines modern technologies to help individuals with mobility impairments. It utilizes an Android application and a microcontroller to control the movement of the wheelchair. Here are some more details about this innovative device: Android Application: The Android application is installed on a smartphone and acts as a remote control for the wheelchair. The user can use the application to move the wheelchair forward, backward, left, and right. Additionally, the application provides the user with real-time feedback on the wheelchair's battery level, speed, and direction. Microcontroller: The microcontroller is responsible for processing the commands received from the smartphone and controlling the movement of the wheelchair's motors. The microcontroller is programmed to interface with the wheelchair's motors and control their speed and direction. Improving the quality of life for the elderly and disabled people and giving them the proper care at the right time is one the most important roles that are to be performed by us being a responsible member of the society. It's not easy for the disabled and elderly people to maneuver a mechanical wheelchair, which many of them normally use for locomotion. Hence there is a need for designing a wheelchair that is intelligent and provides easy maneuverability. In this context, an attempt has been made to propose a thought controlled wheelchair, which uses the captured signals from the brain and eyes and processes it to control the wheelchair. Electroencephalography (EEG) technique deploys an electrode cap that is placed on the user's scalp for the acquisition of the EEG signals which are captured and translated into movement commands by the arduino microcontroller which in turn move the wheelchair

Bio-inspired mobile robot design and autonomous exploration strategy for underground special space

Purpose To make the robot that have real autonomous ability is always the goal of mobile robot research. For mobile robots, simultaneous localization and mapping (SLAM) research is no longer satisfied with enabling robots to build maps by remote control, more needs will focus on the autonomous exploration of unknown areas, which refer to the low light, complex spatial features and a series of unstructured environment, lick underground special space (dark and multiintersection). This study aims to propose a novel robot structure with mapping and autonomous exploration algorithms. The experiment proves the detection ability of the robot. Design/methodology/approach A small bio-inspired mobile robot suitable for underground special space (dark and multiintersection) is designed, and the control system is set up based on STM32 and Jetson Nano. The robot is equipped with double laser sensor and Ackerman chassis structure, which can adapt to the practical requirements of exploration in underground special space. Based on the graph optimization SLAM method, an optimization method for map construction is proposed. The Iterative Closest Point (ICP) algorithm is used to match two frames of laser to recalculate the relative pose of the robot, which improves the sensor utilization rate of the robot in underground space and also increase the synchronous positioning accuracy. Moreover, based on boundary cells and rapidly-exploring random tree (RRT) algorithm, a new Bio-RRT method for robot autonomous exploration is proposed in addition. Findings According to the experimental results, it can be seen that the upgraded SLAM method proposed in this paper achieves better results in map construction. At the same time, the algorithm presents good real-time performance as well as high accuracy and strong maintainability, particularly it can update the map continuously with the passing of time and ensure the positioning accuracy in the process of map updating. The Bio-RRT method fused with the firing excitation mechanism of boundary cells has a more purposeful random tree growth. The number of random tree expansion nodes is less, and the amount of information to be processed is reduced, which leads to the path planning time shorter and the efficiency higher. In addition, the target bias makes the random tree grow directly toward the target point with a certain probability, and the obtained path nodes are basically distributed on or on both sides of the line between the initial point and the target point, which makes the path length shorter and reduces the moving cost of the mobile robot. The final experimental results demonstrate that the proposed upgraded SLAM and Bio-RRT methods can better complete the underground special space exploration task. Originality/value Based on the background of robot autonomous exploration in underground special space, a new bio-inspired mobile robot structure with mapping and autonomous exploration algorithm is proposed in this paper. The robot structure is constructed, and the perceptual unit, control unit, driving unit and communication unit are described in detail. The robot can satisfy the practical requirements of exploring the underground dark and multiintersection space. Then, the upgraded graph optimization laser SLAM algorithm and interframe matching optimization method are proposed in this paper. The Bio-RRT independent exploration method is finally proposed, which takes shorter time in equally open space and the search strategy for multiintersection space is more efficient. The experimental results demonstrate that the proposed upgrade SLAM and Bio-RRT methods can better complete the underground space exploration task.

Implementation of IoT Based Gas Leakage Detection Device

In this paper, we present the design and implementation of an innovative Internet of Things (IoT)-based gas and smoke detection system aimed at enhancing safety in various environments. Gas leaks and fires pose significant risks to life, property, and the environment, necessitating effective detection and mitigation strategies. Leveraging advancements in sensor technology, wireless communication, and smart automation, our system provides real-time monitoring of gas levels and smoke presence. Upon detection of a gas leak or smoke, the system initiates automated responses, including activating an exhaust fan for ventilation, disabling electrical appliances, and triggering audible alarms to alert occupants. Additionally, the system integrates with a mobile application, enabling remote monitoring and control. Through comprehensive testing and evaluation, we demonstrate the effectiveness and reliability of our system in enhancing safety and security. Our research contributes to the advancement of IoT-based safety systems and offers insights into future developments in safety engineering. Keywords— “IoT (Internet of Things)”, “Gas Sensor, Mobile Integration”, “Safety protocols”, “MQ2 sensor”, “LM324”.

The Directions for Improving the Surface Wastewater Treatment Facilities

Prospective directions for increasing efficiency of the drains by improving the systems for collection, disposal and treatment of surface wastewater have been considered. The design and technological features of treatment facilities in operation have been analyzed. The significant shortcomings have been identified, as a result of which the quality of purified water discharged into water bodies, declared by manufacturers, is reduced and the operation is complicated. Promising directions for resolving the identified problems have been recommended: targeted formation of surface wastewater flows, increasing the engineering and technological level of mono-block structures, the use of modern structural materials, providing the possibility of remote monitoring and control of the technological process, as well as timely routine maintenance.

ANALISIS KEKUATAN STRUKTUR PADA SAYAP MORPHING UAV MENIRU PESAWAT CESSNA 172

Nowadays, UAVs are widely used in various sectors including military, agricultural, social and other fields. There are two types of UAV control, the first uses remote control or remote control and the second the aircraft is flown independently or on autopilot. The results of the MBKM research at the Yogyakarta College of Aerospace Technology campus in 2022 resulted in several shortcomings, including having a heavier mass than a UAV wing made from balsa wood with a weight difference of 874 grams and another problem, namely that the wing's straight geometric shape will cause more resistance. so big that it needs to be changed to a morphing wing. Based on the shape of the wing and the problems, the researchers tried to correct these deficiencies by forming a new geometry. The design of this research uses CFD and FEA methods to determine deformation and pressure values. With research results. Pressure distribution on the wing surface using CFD simulation displays contour velocity and contour pressure. For contour pressure, use a velocity of 21 m/s, 22 m/s, 23 m/s, 24 m/s, 25 m/s which flows through the front of the airfoil. At a speed of 21 m/s the maximum value is 26.89 m/s, then if the speed increases then the maximum value will also increase. At a speed of 25 m/s the maximum value is 32.03 m/s. At a speed of 21 m/s the maximum value of deformation is 0.33164 mm, at a speed of 22 m/s the maximum value of deformation is 0.3515 mm, at a speed of 23 m/s the maximum value of deformation is 0.37107 mm, at a speed of 24 m/s the maximum value of deformation is 0.55469 mm, and at a speed of 25 m/s the maximum value of deformation is 0.56883 mm.

HOME AUTOMATION SYSTEM

The project presents the development of an advanced home automation system aimed at revolutionizing residential living through smart technologies. Leveraging Internet of Things (IoT) principles, the system integrates various sensors, actuators, and communication protocols to enable remote monitoring and control of home appliances and devices. Through a user-friendly interface accessible via mobile or web platforms, homeowners can effortlessly manage their home environment, ensuring convenience, security, and energy efficiency. The project emphasizes scalability and interoperability, paving the way for future expansion and integration with emerging smart technologies. Key Words: Home Automation System, Internet of Things (IOT), Sensors, Actuators, Remote Monitoring

Solar photovoltaic automatic tracking device based on IoT and BDS

Solar photovoltaic automatic tracking device based on IoT and BDS

Remote operation of the DIII-D National Fusion Facility

Abstract Full remote scientific operation of the DIII-D National Fusion Facility is now possible through significant advances in the computer science hardware and software infrastructure made over the last decade. Capabilities around information visualization, data movement, and communication have all been enhanced. The level of capability deployed to remotely operate DIII-D required an infrastructure advancement over what had previously been achieved in the fusion community. The large quantity of real-time data that is automatically displayed on DIII-D’s control room screens can now be visualized by remote participants via web-based applications. New audio/video solutions using the VoIP and instant messaging application Discord have been implemented to mimic the dynamic and ad hoc scientific conversations that are critical in successfully operating an experimental campaign. Discord’s ability for a user to rapidly move between audio channels, text with images, and share screens is a significant enhancement over traditional videoconferencing tools. In addition, multiple combinations of broadcast audio are made available via a web-based application to allow remote participants to simultaneously listen to general announcements/sounds while conducting their own specific conversations. Secure methodologies have been put into place to allow remote control of hardware including DIII-D’s plasma control system application. Secure methods also included the ability of the on-site team to closely coordinate their work with remote team members which has been enhanced through extensions to the wireless network and the use of tablet computers for audio/video/screen sharing. However, no amount of software can fully replace the need for “hands on hardware.” This infrastructure was severely stress tested during the COVID-19 pandemic where occupancy of the DIII-D control room was restricted. Operational efficiency during the pandemic, measured in discharges per hour, remained high (3.8 +/- 0.8) compared to values obtained pre-pandemic (3.7 +/- 0.8).

Smart Home Powered by Solar: IoT-based SEPIC Converter Control

Background: In this article, an IOT solution for managing and controlling a PV system with applications for the home is presented. A DC-DC SEPIC converter, a bidirectional converter, a PWM generator, and a single-phase voltage source inverter with active clamping are used for power conditioning. An output voltage control loop is implemented, and real-time online communication with an internet server is accomplished using the PIC microcontroller. Methods: The ESP8266MOD WIFI IOT module works with the Blynk mobile app. Experimental findings showing the proper operation of IOT features demonstrate the effectiveness of voltage regulation. In this article, frequency is taken into consideration as solar power is integrated with the grid. A user may easily control the DC-DC converter, load batteries, and monitor battery voltage through our userfriendly GUI interface. Results: In this paper, an IOT (Internet of Things) application was used to control and track the output of a modest PV power plant. The study shows the efficiency of the digitally controlled system developed to regulate the output voltage of the SEPIC DC-DC converter. Practical Significance: They further argue that the ESP8266 and microcontroller's versatility make them an appropriate instrument for remote and real-time monitoring and control of the proposed model from around the world. The energy that is produced by the sun is added to the grid so that it may be put to effective use and contribute to satisfying the rising demand for energy. Solar energy is the input that SEPIC uses to charge the batteries and for all of its other processes. In the event that solar photovoltaic (PV) panels are not available, the SEPIC DC-DC converter will derive its energy from AC power. Conclusion: In this article, an IOT (Internet of Things) application was used to control and track the output of a modest PV power plant. The research demonstrates the effectiveness of the digitally controlled system created to manage the output voltage of the SEPIC DC-DC converter. They further argue that the ESP8266 and microcontroller's versatility make them an appropriate instrument for allowing remote and real-time monitoring and control of the proposed model from any part of the world. The energy that is produced by the sun is added to the grid so that it may be put to effective use and contribute to satisfying the rising demand for energy. Solar energy is the input that SEPIC uses to charge the batteries and for all of its other processes. In the event that solar photovoltaic (PV) panels are not available, the SEPIC DC-DC converter will derive its energy from AC power.

Technological innovations and optimized work methods in subsea maintenance and production

Subsea maintenance and production represent critical aspects of offshore operations, vital for sustaining energy production and ensuring operational efficiency. However, these endeavors face numerous challenges, including the complexities of deepwater environments, harsh weather conditions, and the high costs associated with traditional maintenance methods. To address these challenges, this paper explores the integration of technological innovations and optimized work methods in subsea operations. Technological innovations play a pivotal role in revolutionizing subsea maintenance and production. Remote monitoring and control systems enable real-time data collection and decision-making, enhancing operational visibility and efficiency. Autonomous underwater vehicles (AUVs) offer the capability to conduct inspections and repairs in remote and hazardous environments, reducing human intervention and associated risks. Robotics and automation further streamline maintenance tasks, improving accuracy and reducing downtime. Advanced materials and coatings enhance equipment durability and corrosion resistance, prolonging asset lifecycles and reducing maintenance requirements. In parallel, optimized work methods offer strategic approaches to enhance subsea operations' effectiveness. Predictive maintenance strategies leverage data analytics and machine learning to anticipate equipment failures, enabling proactive interventions and minimizing downtime. Condition-based monitoring facilitates real-time assessment of asset health, enabling timely maintenance interventions and cost savings. Integrated asset management systems provide holistic insights into asset performance and facilitate informed decision-making. Lean operations and continuous improvement methodologies further optimize workflows, driving operational excellence and cost efficiency. Through case studies and industry examples, this paper highlights the successful implementation of technological innovations and optimized work methods in subsea maintenance and production. Furthermore, it explores future trends, regulatory considerations, and the importance of industry collaborations in shaping the future of subsea operations. Ultimately, the integration of these approaches offers a pathway towards enhanced operational efficiency, reduced costs, and sustainable subsea operations. Keywords: Technological Innovations, Optimized Work Methods, Subsea Maintenance and Production.

Sign Recognition and Voice Conversion Device for Dumb

This project proposes a comprehensive hardware setup for home automation and environmental monitoring. The system includes components such as a Bluetooth module for remote control, a voice module (APR9600) for audio feedback, an LCD for display purposes, relay modules for controlling electrical devices, bulbs with holders for lighting, a CPU fan for temperature regulation, speakers for audio output, and a 5V power supply for operation. The core functionality of the system revolves around the integration of flux sensors for environmental monitoring. When flux sensors detect specific conditions, predefined audio signals are played through the voice module. These conditions correspond to six distinct signs, facilitating real-time alerts and notifications. Moreover, the system offers remote control capabilities through Bluetooth connectivity, enabling users to manage lighting and fan operations conveniently. Additionally, temperature monitoring is implemented using a DHT11 sensor, triggering the activation of the CPU fan when temperature thresholds are exceeded. Furthermore, an LCD display enhances user interaction by providing visual feedback and status updates. The project utilizes Arduino UNO as the central processing unit and incorporates 12V 1A adapters for powering specific components. Connectors and power cables are utilized for seamless integration and electrical connectivity. Overall, this project presents an integrated solution for home automation and environmental monitoring, offering flexibility, convenience, and enhanced user experience.

Solar-Powered GSM Irrigation for Intelligent Water Management

Efficient water management is crucial for sustainable agriculture and landscaping. This project introduces a novel solution, combining solar power and GSM technology to create an intelligent irrigation system. Integrated GSM connectivity enables remote monitoring and control, allowing users to adjust irrigation schedules and settings from anywhere, enhancing convenience and flexibility. By leveraging data analytics and sensor feedback, the system optimizes water usage, ensuring precise delivery based on plant needs and environmental conditions. This approach not only conserves water but also promotes healthier plant growth and higher yields. The integration of GSM technology ensures real-time communication and alerts, allowing users to respond promptly to changing conditions and unforeseen events. Through case studies and performance evaluations, the presentation will demonstrate the system's reliability, durability, and cost- effectiveness, underscoring its viability for widespread adoption. Attendees will gain insights into how solar- powered GSM irrigation can revolutionize water management practices, empower farmers and gardeners, and contribute to building resilient, sustainable ecosystems in a rapidly changing world.

Genetic code expansion, an emerging tool in the Ca2+ ion channel field.

Various methods for characterizing binding forces as well as for monitoring and remote control of ion channels are still emerging. A recent innovation is the direct incorporation of unnatural amino acids (UAAs) with corresponding biophysical or biochemical properties, which are integrated using genetic code expansion technology. Minimal changes to natural amino acids, which are achieved by chemical synthesis of corresponding UAAs, are valuable tools to provide insight into the contributions of physicochemical properties of side chains in binding events. To gain unique control over the conformational changes or function of ion channels, a series of light-sensitive, chemically reactive and posttranslationally modified UAAs have been developed and utilized. Here, we present the existing UAA tools, their mode of action, their potential and limitations as well as their previous applications to Ca2+-permeable ion channels.

Efficient Cyber Security Framework for IoT Using Machine Learning Algorithms

Through the network's infrastructure, the IoT can impart perception, recognition, and remote control to inanimate objects. Due to IoT's characteristics, it's possible to integrate the real world into a digital system, which improves precision, productivity, and bottom line. While traditional internet infrastructure comprises of highly capable computers and servers, IoT gadgets have limited processing power and storage space. The authentication and key agreement system SecureAuthKey is very lightweight. The suggested technique is meant to solve the security and privacy problems that plague modern constraint-based CPS programmes. A lightweight approach for authenticating cyber-physical objects is one of the expected outcomes. Adaptation and autonomy in cyber-physical systems need not be compromised by a lack of trust or security in users' data or the devices themselves, according to a new type of security algorithm. To provide flexibility and scalability, a new middleware module has been developed on the Raspberry platform to facilitate communication between CPS-based devices and services. Secure Internet of Things (IoT) evaluation methodology that may be used in a variety of contexts and is user-focused. With the suggested system, the two CPS units will be able to authenticate one another. When a network grows larger, the possibility of an attack rises. Therefore, the IoT network is much more susceptible to attacks than conventional networks. As the number of connected devices grows, so do the number of potential threats to their security. To protect the IoT ecosystem from current threats, cutting-edge technology is essential. The proposed approach must be very efficient and have low computational overheads. It creates random session keys to protect wireless transmissions. The system is protected from a variety of cyber threats. The current constraint-based CPS system requires a new lightweight security solution.