The development and implementation of a cloud application is not an easy task since the experts are required to have a strong understanding on database programming and migration procedure. However, the AB Pty. Ltd is entitled in developing a smart application through which it will be used to control and monitor the speed of a conveyor belt. These smart application will be operating under PaaS cloud model, through which it has the capacity to collect data from the sensors that are connected to the conveyor belt hence be able to controls the speed. To start with the IBM NODERED app must be implemented since it has the capacity to measure the speed and control the happenings analytically. This paper gives a brief and diverse demonstration of the various issues that are related to the application. Further, there specified steps through which the application must be configured and examined for deployment. In addition, the efficiency of this smart application will be cross-examined well for proper future implementation. There are various challenges experienced during data collection and the development of the app hence the execution must be analysed.
The Case study Analysis
The four identified business Improvements
The business case study analyses different approaches through which the company can be able to control the conveyor belt speed so as the product packaging can be efficient and adjusted time to time. The identified improvements can be of help for the business operation and maintenance. The following are some of the identified business improvements:
The management and administration of the product: With the availability of speed being controlled, the management and product administration can be improved in future considering the changes made. Provision of speed control measure will foster development and speedy growth towards the businesses goals and objectives since the packaging process is easy and automatically controlled.
Energy efficiency: For a business operation to work efficiently the use of a conveyor belt is highly recommended since it leads to huge levels of production in the corporate market. Nevertheless, it is also significant in the loading and unloading of end products. The levels of horsepower used by the conveyor belt are also low since the app makes the work easy. The moment the conveyor belt is controlled by the smart app then the energy is efficiently used as per the business requirements.
Proficient way of handling Bulk material: Having the implementation of the smart application to control the conveyor belt will foster the production of a large number of product output. All the products can be. All the products can be loaded, and can be well scrutinized for efficiency. This approach will help the business offer quality products to the market with more efficiency.
Better Packaging: It’s always significant for the business offer products that a well packaged so that they can be attractive to the consumers. The quality of packaging standards reflects the quality of products to the consumers. The moment when the packaging process is clumsy, it fosters a negative image towards the company and demonstrates the level of inefficiency in in product management. The use of smart application to control the conveyor belt speed then it will make it easy for the company to make improvements to the packaging process since they set the required amount of time.
The data collection effectiveness
The data collection process is done through the use of a sensor and it’s done in a IMS tool which measures the time take for collection. The approach of data collection is effective since it’s capable of getting all the information within microseconds and gives the state of database immediately so that the data can be utilized in the analysis process. The data collected through the sensors is stored in a format which is flexible so as to ensure there is reliability. In the case at which the data is collected by the sensor, therefore the data can be collected from a magnetic field, angular velocity, acceleration, orientation and position. However, through the use of sensor data collection, the organization can make use of the data obtained to get the position in real time that the data can be tracked. Data collection enhances efficiency in terms of operational processes and creates a positive effect towards the business. A proper data collection and continuous tracking helps in monitoring and management of the business assets and also be capable of identifying the risks involved.
Recommendations towards the five sensor entities for data collection
The following are some of the various identities through which sensor data collection is involved.
This is the element that helps in the detection of sensor positions that are involved with a fixed point; also it gives a clear position feedback. This element is specifically describes as the distance that helps in the identification of a straight line through the help of angular movements. Angular velocity
This element is defined as the ratio of the varying angular displacement within a specified time. However, it’s involved in the objects rotation that acts from a fixed point axis at constant speed.
This is a process associated with vector quantity as the primary factors of direction and magnitude. Nevertheless, this element describes the ratio between the change in velocity and change in time taken. Besides, there is a suitable accelerometer that is applied so as to measure all the sensors of acceleration. Furthermore, this element determines the measure for speed change and on how an object accelerates as per change in velocity and time.
Magnetic field strength
This element helps in encoding of the magnetic information into electronic signals which make help of the electronic circuits. However, magnetic field strength is determines how strong a devise is using various types of velocity and time change.
The sensor of orientation is used to detect the sensor that is within the switch which forms part of the accelerometer; hence it helps in detecting necessary variations in the process of orientation.
The working of the smart application
URL for NODERED application and IBM IoT Platform
The URL used under this application shows all the guidelines under which activities are conducted to come up with a web console that is capable of being integrated with the cloud database using the appropriate sensor to ensure that the conveyor belt works efficiently. The URL must be accessed by the application installed in the mobile device while the sensors analyse data for some operations. This URL is able to specify some the guidelines and procedures upon which will help the designers of the application to effectively use the IoT platform.
The working of the smart application
For this smart application to work it must use a strong API interface so as to access the sensor data. Besides, the application comprises of IBM Cloud database at which data for the activities is stored. The developed application is capable of regulating the conveyor belt speed limits. The NODERED application is used in this process in controlling the conveyor belt sensors remotely. Nevertheless, the IoT framework acts as the main interface between the IBM cloud and the smart application hence it ensures that the application works smoothly. The application is developed in such a way that it sends alerts through twitter once the speed limit exceeds 700 RPM. The user of the application is able to specify the speed limit using a remote and hence control the conveyor belt efficiently. The user of the application relies on the commands as processed by IoT framework and NODERED application. Hence, the sensors control the speed of the belt as initiated by the user in control of the application. The network speed makes the operation speed to vary from time to time.
The first stage is where the application calls the URL of the main web page console, and then it collects data for all commands and events from the cloud database. The data obtained from different cloud segments is gathered and examined, hence stored in various data types such as Boolean, and strings. The process of data collection helps the application to determine the user requirements and interpreting them into machine language. The IoT platform is used to evaluate the data processed and the executed through a specified API so that it can generate a API code. All the instruction regrading a particular event are sent through the wireless sensors that are installed into the conveyor belt so that the packaging process can go on smoothly and controlled.
The functionality of the application
After the application has been developed and implemented then it must work as per the client’s requirement. However, the required events are stored into the cloud database which is then called by the API through the user commands.
The following are some of the steps for deploying and application configuration.
The appropriate steps are required to be followed so as to ensure that there is proper configuration of the smart application.
a. Realizing the user requirements
The key goal of any application is to first understanding the user requirement first. As per the case study we are using the application must be developed so as to control the speed of the conveyor belt.
b. Development configuration
c. Exporting configuration
The configuration of the running application must define where the data collected is stored. Hence, the exporting configuration process must be done using bigdata tools that are associated with the API code.
d. Deployment time configuration
Time frame is necessary in the smart application because the user will be able to set the required time frame for the conveyor belt making it easy for work.
e. Post configuration process
This is the process of configuring the application before it starts working so that the user will not be required to configure it again.
f. Executing WebLogic server deployment plan
This application makes used of cloud servers and web page application called API to work hence, for proper implementation the user must execute this first.
Various difficulties confronted
Difficulties during data collection and app deployment
There are barely issues, which are obvious during the time spent data collection and in the application deployment. Not understanding the requirement of the customer is a significant issue while inferring the application. Much of the time, the procedure frequently faces a trouble related with the reality of debugging; this makes the systems vulnerable towards the online threats and malwares. Furthermore, this application deployment regularly faces issues in regards to the technical switches and staying aware of the progressions is additionally somewhat hard (Shahzeb, 2019). Furthermore, correspondence is additionally a significant issue looked meanwhile of application deployment and data assortment. Time assessing is a significant issue looked by the organization while gathering data.
The following are some of the steps for addressing the above issues.
The steps, which are used for addressing the difficulties in deployment, are explained in the following section.
- In the initial stage, it is needed to identify and read the issue or problem numbers of times until it is clear for understanding
- Afterwards it is needed to go through the issue manually along with at least 3 sets of data as sample.
- In the third stage it is required to optimize and simplify the steps that has been taken
- The pseudo code is needed to be written.
- The pseudo code is needed to be translate into debug and code (“10 Steps to Solving a Programming Problem”, 2019).
The difference between cloud applications and traditional applications
There is a general idea about cloud computing that there is just a single meaning of it. It will make an understood utilization and comprehension of cloud innovation, which is a lot simpler than its real development. It is expected to comprehend and know about the distinctions about the two apps, which work inside the traditional stages and the cloud. The methodologies of these two’s are extraordinary and can be advantageous for the business.
Traditional Architecture: The engineering of traditional applications now and then incorporates a database tire, application rationale tire and introduction tire. All the tires need a server, which is distinguished. These likewise need highlights of the static foundation and ordinarily, it is commonly unbending. It can’t keep up its scale consequently. The versatility of the traditional application can be exorbitant, testing and constrained. At the point when the IT staff attempt to move the traditional applications to the virtual servers, the engineering of the application remains for the most part same. As a result of the reliance in regards to the broad framework, the foundation flops effectively (Team et al., 2019). Cloud Architecture: The engineering of the cloud can be ordered by the UI and mechanization for building and planning the framework. The traditional applications use the unbending database. The engineering of the clouds gives various alternatives and capacity to isolating data as per the use of the necessities. The engineering of the cloud is more unique than the design of the traditional application (Team et al., 2019).
This paper has demonstrated the various issues that are related to the application. Further, there specified steps through which the application must be configured and examined for deployment. In addition, the efficiency of this smart application will be cross-examined well for proper future implementation. The various challenges experienced during data collection and the development of the app hence the execution have been analysed.
10 Steps to Solving a Programming Problem. (2019). Retrieved 16 October 2019, from https://codeburst.io/10-steps-to-solving-a-programming-problem-8a32d1e96d74
Shahzeb, F. (2019). The 9 Most Common Problems New Programmers Face – Simple Programmer. Retrieved 16 October 2019, from https://simpleprogrammer.com/9-common-problems-new-programmers-face/
Team, M., Us, A., Culture, O., Clients, O., Services, I., & Consulting, C. et al. (2019). Cloud Apps Versus Traditional Apps: What’s the Difference? – Value Global. Retrieved 16 October 2019, from http://www.valueglobal.net/cloud-apps-versus-traditional-apps-whats-the-difference
What is sensor data ? – Definition from WhatIs.com. (2019). Retrieved 16 October 2019, from https://internetofthingsagenda.techtarget.com/definition/sensor-data