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CLOUD BASED TEMPERATURE THRESHOLD MONITORING SYSTEM FOR PHARMACEUTICAL INDUSTRIES
#boltiot #IoTMLChamp #cloud #temperature #threshold #monitoring #system #pharmaceutical #industries
Traditionally Pharmaceutical Industries use old gauge system to check the threshold of the temperature required by the industries to maintain the quality of the medicine because if the medicine lot gets damaged by the fact that it has been not manufactured in the required temperature which is [- 31º to - 40º] then by the government guidelines a whole lot of the medicine or drug has to be destroyed, and none of them should be distributed to the dealer or customer.
In any case, the temperature threshold crosses the required temperature degree, and the company has to suffer from a huge loss which ultimately affects the whole company supply chain, to the workers and the dealers too. Since 1937 the industry is trying to reduce this human factor of mistake and do it more correctly and accurately. As in security field, we say there is no patch for human stupidity so here is the same case pharmaceutical industry has faced a lot of loss due to this because earlier there was the human who does manually check the temperature and generate a handwritten report and at last the medicine doesn't match according to the government guidelines, and they have to destroy the whole lot.
Later on, there came a lot of advancement in this system helping the industry and the other food manufacturing industry too because FMCG products also depend on the temperature factor, so the change in monitoring the temperature of the industry is helping in the growth of all the essential products and services.
Then the digital system started to use in checking and monitoring of medicine manufacturing through temperature threshold, which is required. But the problem of the workforce was the same company have to use humans to check it and report it. Most of the big pharmaceutical Industry is running 24x7 in three shifts of 8 hours each. Just imagine how many amounts they are investing, but the risk remains same any misshapen can take place as there is no automatic system to alert the company and administrator that the temperature is reaching the threshold so that by the time better security measure can be taken and lesser the risk and loss for the company and the medicine lot.
So by considering all this, we have developed this whole application which not only measures the current temperature but also adjusts the threshold according to the industry use. Besides, whenever the temperature is about to reach its threshold value, it alarmed the whole industry by siren connected to the application.
This application sends SMS, Email, and Notification to all the monitoring devices, the administration, and to whomsoever the authority has given the right to receive that.
We have used the latest technology of IoT Device, which is Bolt IoT and the LM35 temperature sensor to which takes the input of the current temperature of the area. We also used the Bolt IoT cloud platform to connect the whole device and configure it through the Linux server by the use of the Bolt IoT python library for the connection of API and use it over remote location by the use of cloud technology.
The advantage of this application is it also stores the data over cloud in CSV format, and then we run our prediction algorithm which shows us that on which time of the day temperature get lower down so that we can adjust the system according to that and increase the temperature of HVAC and use this feature efficiently.
As a result, the pharmaceutical industry gets the win-win situation as on the one side the biggest factor of temperature threshold risk got almost null and void and on the other hand, they do not have to pay extra to the human for the manual work which lowers down the risk of human stupidity too. Concerning that their existing system monitoring administrator can do this work from them.
This cloud-based temperature threshold monitoring system for pharmaceutical industries will not only solve the problem of medicine manufacturing but also for the FMCG and food production industries all over the world.