Temperature And Humidity Monitoring System Pdf


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temperature and humidity monitoring system pdf

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Often, temperature monitoring is overlooked. But it is one of the key environmental alarms to monitor in every unmanned remote site. From both spectrums of the temperature range, it is very important to monitor what conditions your revenue-generating equipment are operating under. If your air conditioning unit failed and you didn't have adequate monitoring of the unit or temperature at your site, you would be unaware of the damage and would be too late in preventing equipment thermal shutdown and failure.

LogEt 8 THE Multi-use PDF Temperature and Humidity Data Logger

To browse Academia. Skip to main content. By using our site, you agree to our collection of information through the use of cookies. To learn more, view our Privacy Policy. Log In Sign Up. Download Free PDF. Zaenurrohman Rohman. Download PDF. A short summary of this paper. Raya Kaligawe KM 4 Semarang , Indonesia Abstract To maintain quality of goods among shipment process, monitoring and controlling is performed. Moreover, position of the vehicles is performed by GPS tracking.

However, conventional monitoring and controlling temperature and humidity is done manually. Moreover, inaccurate measurement during shipment process is affected to the goods quaity especially for goods and beverages packets.

Inaccurate tracking has contributed as one factor which causes vehicle lost in control. To addressing these limitation, integrating shipment process such as temperature, humidity, tracking and tracking system are proposed based on Internet of Things IoT. The system performance has monitored humidity and temperature properly and bus range tracking system is conducted using Neo6M based on IoT.

Data measurement result are delivered onto Clouduino over Internet network at any time. The performance result shows that within two experiment treatments, such as static and mobility measurements, the propose system are performed well.

In static measurements, the average interval value of the data transmission time is 5,75 seconds from the designed interval value of 5 seconds, the average value of the deviation from the interval of data transmission time is 0,75 seconds, and the average delay time between data transmission and reception is 0,3 seconds.

While at dinamic measurements, the average interval value of the data transmission time is 6. Introduction Shipment tracking is a common things in the shipment process from the place of origin to the destination place. The shipment process usually starts from the identification of goods to be shipped to the shipment using land, sea and air transportation. Problems in the item identification and shipment tracking often arise due to the limitations of identification tools and tracking tools used.

Error problems in the identification of names and quantities, as well as the existence of innacurate item positions become necessary for more consideration. Apart from these problems, one of the priorities is the quality of the goods should be same as well as it was sent it. Due to the quality of goods becomes an important thing considered by companies engaged in various fields, ranging from agribusiness companies, pharmaceuticals, variants of food needs and various other fields [1].

Quality of goods to be shipped is affected by the condition of temperature and humidity in the cabin of carrier vehicle. Especially, if the goods to be delivered are vulnerable to significant temperature and humidity changes, such as meat, vegetables, medicines and so on. The mistake treatment or handling of a type of goods due to temperature and humidity factor may cause vulnerable damage to the shipped goods, special handling or treatment should be done and to be considered.

The result shows that the system is able to publish and subscribe data on the cloud. The data exchange transmitting is limited only when the wifi signal is presented. This only short range cover range transmisi [2]. Tracking position of the shipping fleet is the by smartphone base on moile operator signal. The data transmission exchange to the server using the GPRS system. The result show that the real time shipment tracking and location of shipment fleet could be profided. However, monitoring and controlling temperature and humidity is not provided [3].

Real time vehicle position through web application using Google Maps API could be displayed well and able to locked vehicle remotely. GSM modem is uses to exchange data transmission to the firebase system. However, monitoring and controlling temperature and humidity provided. In the paper integrating shipment tracking for monitoring and controlling temperature and humidity is proposed base on IoT. More over Wherhouse management system is played and inteligenly detect of the item automaticaly.

Furthemore position of the carrier vehicle is traced base on data cordinate received from GPS module. According to the Fig. While data transmission to the Clouduino server is used GET command. To Synchronize timing starting from the control sustem to the webserver RTC module is used. Realtime information of data transmission proses has provided by RTC module. More over the shipment time is synchronize on the monitoring web in order to compare data is transmitted and the data has been transmitted.

Architecture of Monitoring and Tracking System 2. JTI Vol. Design of hardware of monitoring and tracking system 2. According to Fig. The header file is a library file that is used to integrate arduino uno with some of the modules used. Variable definition includes the declarations of some of the variables used in the program list. Initialization softserial communication is the process of reading the type of communication used by the Arduino Uno with several modules that are connected.

Figure 3. The data is sent to the webserver using an internet connection. If the data fails to be sent to the web server, then the program will return to the process of connecting the system to the Internet using a GSM modem. Measurement Model The system model setup is conducted by using two categories, namely testing with the static monitoring and tracking system, and secondly testing with the dynamic monitoring and tracking system.

The static testing model is performed in one place to test the performance of the system in sending data to the webserver, while the dynamic testing model is performed in mobile by varies speed of the carier vehicle on the highway by car at different speeds.

Dynamic testing aims to determine the performance of the system in monitoring and tracking at the speed of the vehicle and at different places. The proposed system model is conducted by two exeperimental setup models, such as tracking controller system with static conditions and second is tracking controller sysem by dynamic conditions. Results and Analysis 3. Static Monitoring and Tracking The results of static monitoring and tracking measurements, known information time interval data delivery to the webserver, delay between the time data is sent and time data received.

Graph of time interval of data transmission 25 Delay seconds 20 15 10 5 0 1 3 5 7 9 ith data received Figure 5. Graph of delay between sensor data transmission and reception According to Fig. Dynamic Monitoring and Tracking 3. It shows the system can monitor temperature and humidity work well.

The average interval value of 6. Known average of delay time is 2. Figure 9. When the middle track process begins, the distance between the car's position coordinates is greater in distance than before and after. This is due to the considerable data reception time of the delay, which is most likely due to the quality of the internet connection in that area which is less stable.

Graph of temperature and humidity values resulting from data processing of the result monitoring and tracking test is shown in Figure From the test result of data processing of temperature and humidity values, it can be seen that the average temperature value is The largest interval value on this test is 24 seconds or when sending the 13th data.

While the smallest interval value is 4 seconds. From the total value of data transmission time interval in this test, it can be seen that the average time interval is 5. From the total time delay of each data transmission in this test, it can be seen that the average value of time delay is 1. Figure This can be seen from the distance between the spaced coordinate markers than at the end of the testing process, and it occurs because the greater delay of coordinate data transmission.

Based on Figure 14, the temperature value in the monitored car cabin is increasing progressively, while the humidity value is decreasing. From the data processing of temperature and humidity value of the test results, it can be seen that the average temperature value is The largest interval value in this test is 23 seconds, while the lowest interval value is 4 seconds.

From the overall values of data transmission intervals, it can be seen that the average interval result in this test is 7. The largest delay time in this test is 20 seconds, and the smallest one is 0 second. Based on the total delay time, it can be seen that the average delay time is 2.

In this case, it is also affected by the value of data reception time delay. Overall Results Analysis The measurement results with several speed variations are shown in Table 1. Table 1. This shows the performance of monitoring and tracking systems better when static vehicle conditions than when the conditions are dynamic.

The car position is represented using the coordinate point markers displayed in the Googlemaps API. Each coordinate point marker represents a car position coordinate data received from the GPS receiver, so that the value of data transmission interval and time delay between sending and receiving data determine the distance between the coordinate point marker displayed in the Googlemaps API.

Conclusion Prototype temperature and humidity monitoring on IoT based Shipment tracking has been developed. The prototype has been exeperienced by two types of the measurement tested.

One is static either is mobile, and two is dinamic. The results shows that static measurements, the average interval value of the data transmission time is 5,75 seconds from the designed interval value of 5 seconds, the average value of the deviation from the interval of data transmission time is 0,75 seconds, and the average delay time between data transmission and reception is 0,3 seconds. Based on the average value of the interval, the average value of the deviation and the average value of delay on static testing smaller than the average value of the interval, the average value of the deviation and the average value of delay in the dynamic test, then the performance of the monitoring and tracking system is better when the condition of the vehicle is static than when the conditions are dynamic.

Humidity, temperature and tracking position are performed well based on the tested into two models. For further development, can use a controller with higher specifications to support faster data processing.

LogEt 8 THE Multi-use PDF Temperature and Humidity Data Logger

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Temperature and Humidity Monitoring on IoT Based Shipment Tracking

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LogEt 8 THE Multi-use PDF Temperature and Humidity Data Logger

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 У меня черный пояс по дзюдо. Беккер поморщился. - Предпочитаю вид спорта, в котором я могу выиграть. - Победа любой ценой? - улыбнулась Сьюзан. Защитник Джорджтауна перехватил опасную передачу, и по трибунам пронесся одобрительный гул.

Wireless CO2, Temperature and Humidity Sensor – Pressac

2 Comments

Jeffrey W.
31.03.2021 at 05:11 - Reply

Reports should be customizable by users: format (text, pdf, graph), time period and content (high and low temperature events, MKT analysis). Adaptability​.

Matt W.
01.04.2021 at 14:30 - Reply

Environmental monitoring sensors let you monitor live conditions in each room or zone of a building.

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