When we use the wireless or wired network to connect one or more of the belt scales in a network, to achieve the belt scale information upload / receive commands from the host server, the one or more belt scales is the application IoT technology belt scale, this one or more belt scale to form a remote system. First, the application of the Internet of Things belt scale remote system can do? 1. Read the data of belt scale in time Through the internet of things, we can read various working parameters and process parameters of the belt scale in a timely manner. The process of reading the information is carried out synchronously under the working condition of the belt scale without manual intervention of the user and without affecting the normal operation of the belt scale. The available information is: (1) belt scale real-time working status: such as running time, with speed, instantaneous flow, the cumulative amount; (2) the system appeared unusual circumstances: such as a variety of alarms and the time, causes, etc .; (3) Historical records of operations; 2. Real-time monitoring of user equipment Belongs to the Internet of things through the remote control system built on the user equipment monitoring 24/7, read the information to analyze and judge and make the appropriate treatment: (1) Analyze the working status of the sensor, analyze the abnormal phenomenon and make corresponding treatment, such as: cutting off the fault sensor, alarming and correcting the error caused by the fault; (2) analysis of manual records, in the case of non-normal operation, the resulting failure analysis of the reasons, propose solutions; 3. Conduct belt scale characteristics and error trend analysis (1) For each belt scale, different errors will occur due to different parameters of the belt conveyor and installation conditions, such as positive or negative difference with the actual calibration value error, error of the size flow (linearity error) , Linked to the code and the actual calibration error. This is the characteristic of this belt scale. These data sets are combined and processed to form the belt scale characteristic curve. Through the Internet of Things technology, you can get a complete belt scale operating data, through the analysis software, you can find the scale curve of the scale, provide the basic means for further analysis of the error. (2) Through the belt scale characteristic curve and the change analysis, can discover the change trend which affects the belt scale error, and under the correct mathematical model, analyzes and discovers the belt scale has actually produced the error change situation, and guides the user to carry on each Adjustment of species parameters. This discovery and adjustment process does not depend on the physical calibration of the belt scale or not. 4. Create a file for this belt scale With the support of IoT technology, the client's belt scale is no longer alone; behind it is a powerful expert system. In the end, the problems that threaten the use and after-sales service of belt scale users and suppliers can be solved. The system is constantly enriched, improved, more powerful logic operations and artificial intelligence capabilities, and ultimately, the belt scale of the various factors can be used to solve the software method, then the so-called "ultimate belt scale" will become reality. Second, the Internet of Things technology will bring us what? 1. Learning belt scale - the ultimate belt scale 2. Belt scale failure early diagnosis 3. Belt scale fast failure repair 4. Extended service extension model to solve service bottlenecks 5. Prevent cheating 6. Standardize management data traceability 7. For the logistics sector statistics Three, belt scale remote system introduction 2. Belt scale remote system basic functions (1) Record hundreds of operating parameters and intermediate process parameters. (2) Record a variety of automatic execution of the program and man-machine dialogue operation time, content, in order to analyze the working status of the belt scale to provide basic information. (3) Record the time, content, data and exclusion time of various fault alarms for expert system analysis. (4) Record various parameters of the belt scale peeing, metering, calibration or verification process to provide data for expert system analysis.
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