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Approach A quantitative research based on data collection of the variables as potential of hydrogen, total dissolved solids, turbidity, temperature and oxidation-reduction potential collected by the sensor network.
• ThingSpeak: It is an online platform which allows users to store data in the cloud, visualize the data and perform data analysis within the online site
These components are deployed directly within the water bodies or monitoring points to capture real-time data on crucial parameters such as pH levels, total dissolved solids, turbidity, temperature and oxidation reduction potential.
Cloud Layer Data Collection and Machine Learning Evaluation • Data Collection: We ensured that data was sent to ThingSpeak by guaranteeing the microcontroller an access point to upload data to the cloud
For data processing, the data is sent from the module to the ESP32 with serial communication (UART).

Meanwhile, it has some additional effects, such as cost reduction, energy conservation and emission reduction.
To effectively reduce the harms caused by the mechanical vibration and the noises in the operation of mechanical equipment so as to realize green production, it is quite necessary to make research on the vibration attenuation and noise reduction of heavy-duty machine tool based on non-obstructive particle damping (NOPD).
Thereinto, after the acceleration transducer inputs the signal collected by the signal collector into the charge amplifier, it imports the data into the computer to carry out data acquisition and record as well as waveform display and record.

Based on the operation data of a 100kW PV system in a certain place of China, simulation studies are performed.
With the reduction of the lithium-ion battery manufacturing cost and improvement of service life, applying the large-scale battery energy storage system into power systems is possible.
First, the sensor system obtain operation data of each sub-module from controlling sensors, including voltage, current, frequency, battery operation and other parameters.
Analysis on Typical Photovoltaic Power Station In this paper, a 100kW PV system in Nanchang is selected to carry out statistical analysis and provide data support.
（1） Fig.4 The statistics of 100kW Nanchang PV system Figure 4 is the data statistics of the selected PV system.

Simulations has been performed using SIIMPL, a Monte Carlo simulation code based on the binary collision approximation, to predict experimental data and get a deeper insight in the channeling process.
Fig.3 Boron concentration versus depth in three 4H-SiC samples measured by SIMS. 50 keV 11B have been implanted at 200 °C along the [000-1] crystal direction The SIMS data are drawn as solid lines while MC-BCA simulations are given as dotted lines.
In addition to experimental data, the profiles have been simulated using the SIIMPL code.
Only a small reduction of channeling depth is revealed as the implantation temperature increases.
Summary In this study, we present experimental data and MC-BCA simulations for channeled implantations of 50 keV 11B-ions and 100 keV 27Al-ions in 4H-SiC along the [000-1] axis at different temperatures.

Collecting basic data on the object (its space-planning decisions, technical condition, current level of resource consumption, financing sources of resource-saving solutions realization).
Comprehensive assessment of the efficiency various RSS realization 3.1 Resource unit This stage involves the calculation of the expected level of energy resources consumption by the building for each option and its comparison with the actual (current) data.
Collecting basic data about the object and formation of the project requirements Step 2.
To simplify the calculations of LLC it seems logical to apply the resource-technological models and data on operating costs in the similar objects. 3.4 Calculation of the integrated indicator of building’s sustainability Stage 3.4 involves the assessment of sustainability that the building achieves through the implementation of resource-saving solutions.
This stage involves the calculation of ratio of the project life cycle cost to the indicator of its sustainability LLC/Sust for each variant and the search for the minimum value from the received data.

Data Automation System by using Computer Controlled Stepper Motor M.
Data Automation Systems Data acquisition and data acquisition systems (abbreviated with the acronym DAS) typically involves the conversion of analog waveforms into digital values for processing [1].
The most common Data Acquisition System interfaces are the PCI bus, PXI bus, Ethernet, USB and Serial I/O.
This is considered to be very significant reduction of power by about 90%.
References [1] “Data Acquisition System” http://en.wikipedia.org/wiki/Computer_port (hardware) [2] S.

Statistical analysis of the experimental data.
Experimental data were analyzed by ANOVA (α = 0.05).
Analysis of the 24 h DC data (group mean values) revealed an average (80.2 ± 2.1) % of Resin/monomer EBPADMA TEGDMA HEMA MEP ETHMI 43.17 43.24 10.08 2.51 ETHMII 54.45 31.94 10.00 2.61 ETHMIII 62.85 23.22 10.36 2.57 vinyl conversion in copolymer series.
A maximum reduction in DC of 10.3 % established for unmilled ACP composites compares well with the reduction of DC observed in Bis-GMA- and EBPADMA-based binary and ternary resin composites utilizing the same type of ACP filler (up to 14.4 % and 14.2 %, respectively; [1]).
Utilizing milled ACP diminishes the reduction in the DC of ETHM composites (up to 4.6 %) compared to their copolymers.

The calculated results of microstructure have a good agreement with the measured value from experimental data and the prediction error is less than 7.0%.
The linear regression curve is shown in Fig.2 and then the equals to 0.096 and equals to 350.852 (kJ/mol) based on the data.
The degree of recrystallization in the blade rabbet and body are 9 and 12-13, respectively, according to the experimental data.
The calculated results are in a good agreement with the experimental data.
The grain degrees in the blade rabbet and damper platform changes from 9 to 10 but the value in the blade body is over 12 according to the experimental data.

The applicability of the mathematical model has been validated with experimental aging data, whereby a small deviation is observed between the two over a wide range of film thicknesses and reasonable intuitive explanation pertaining to the parameters is obtained.
The free volume reduction attributed to lattice contraction stops at a glassy value,. 2.
To demonstrate the applicability of the developed model, it has been validated adapting aging experimental data of oxygen permeability for bisphenol-A polycarbonate (BPA-BnzDCA) polymeric films by McCaig, et al. (2000) [9], as demonstrated in Fig. 2.
In addition, this contention has been further supported by McCaig, et al. [4] that a value of between 3 and 5 hrs is reasonable and gives agreeable accordance to aging data.
Therefore, there are remaining two parameters, and , left to be curve fitted employing two sets of experiment aging data at varying film thicknesses, which have been further extended to a wide range of thicknesses (0.25 to 33 microns) to verify the capability of the mathematical model.

The characteristic of this machining process in theoretically capable to reduce tool wear, cutting force and based on current experimental analysis had shown significance improvement on surface finishing and reduction in tool wear.
In the present work, comparison data had been done based on conventional and advanced machining process in the scope of wet and dry machining on AL6061-T6.
Hence, modern machining process has the ability to enhance the tool’s life, improved surface integrity and reduction in cutting forces.
This data proven a theory that high vibrating frequency cannot effectively improve the machining accuracy.