Upgraded Smart Anti-Drug IoT Big Data Platform safeguards smart anti-drug strategy

The Central Committee of the CPC,The State Council has always prioritized anti-drug efforts,Maintains constant vigilance against drug issues"Zero tolerance"Attitude,Crack down severely on drug-related illegal and criminal activities.As drug-related criminal methods continuously evolve,New drugs constantly evolve,Anti-drug work is facing unprecedented pressure and challenges,Modernization of drug problem governance capabilities must rely on technological transformation. 

As stated in the report of the 19th National Congress of the CPC,Accelerate building a manufacturing powerhouse,Accelerate the development of advanced manufacturing,Promote the integration of internet,Big data,Deep integration of AI and real economy.The 4th Plenary Session of the 19th CPC Central Committee proposed,Establish and improve systems leveraging internet technologies,Big data,Administrative regulations leveraging technologies like artificial intelligence.        

2019Year12Month,Beijing CloudOptek Optics assisted Fujian Provincial Public Security Department’s Anti-Drug Brigade in developing"Fujian Anti-Drug Intelligent IoT Big Data Platform",Successfully demonstrated for the first time at the highest-level national anti-drug corps commander training session,First in Fujian Province to integrate IoT,Artificial intelligence,Cloud computing,Blockchain and other technologies applied to hair drug testing.  Currently,Platform already deployed in Fujian Province9Municipalities,Pingtan Comprehensive Experimental Zone and84Counties(City,District)Completed initial deployment,And received positive feedback.

Beijing CloudOptek continuously upgrades its Smart Anti-Drug IoT Big Data Platform,Gradually improve the intelligent anti-drug IoT big data platform,Gradually integrate online wastewater sampling,Precursor chemical detection,Integrates data from Raman and ion mobility spectrometry drug detectors into the Smart Anti-Drug IoT Big Data Platform,And cross-referenced with anti-drug information system data,Through big data analytics, comparison, and intelligent algorithms,Timely dynamic adjustment of IoT terminal parameters,Effectively forms scientific,Standardization,Recyclable counter-Feedback mechanism,Continuously improve detection and early warning accuracy,Strengthen drug situation analysis,Intelligence analysis,Monitoring and early warning,Achieve scientific and systematic drug problem governance.

(Image for demonstration purposes only)