DEV Community: Ricardo

Hospital Smart Energy-Saving IoT System Solution

Ricardo — Thu, 12 Feb 2026 06:26:12 +0000

Hospital Smart Energy-Saving IoT System Solution

To ensure the normal operation of hospitals, a large number of infrastructure facilities and medical equipment require a safe and efficient energy supply guarantee system. With the expansion of hospital scale, the energy consumption of newly added equipment and the performance degradation of old equipment not only increase the hospital's operational costs but also impose a certain burden on management efforts.

To promote energy conservation and consumption reduction in hospitals in a more scientific and reasonable manner, and to achieve more refined energy consumption metering for hospital equipment and facilities, it is essential to establish an energy consumption monitoring system for hospital equipment and facilities. In this regard, provides a Hospital Smart Energy-Saving IoT System Solution, which primarily consists of three parts: the hardware layer, data acquisition layer, and application layer:

Hardware Layer: This includes various energy metering instruments for water, electricity, gas, and heat, used to real-time perceive the hospital's energy consumption data for electricity, water, gas, etc.
Data Transmission Layer: The data acquisition gateway primarily transmits the collected energy consumption data to the data center or cloud server through wired or wireless networks, such as 5G/4G/WIFI/Ethernet.
Application Layer: This layer utilizes user interfaces on mobile phones and computers to display, monitor, manage, and analyze energy consumption data, generating energy consumption trend charts, reports, etc., to provide decision-making basis for hospital administrators.
Implemented Functions:

Real-time collection and categorized statistics of energy consumption data for air conditioning, lighting, water usage, gas usage, etc., displayed through various data charts such as pie charts, bar charts, and line charts, enabling quick understanding of energy consumption data across different time periods (daily, monthly, yearly), geographical regions, energy categories, or types of energy-consuming equipment.
Setting intelligent alarm thresholds for different types of connected devices to achieve event summarization notifications for high and low alarms, recording and archiving them, and quickly notifying via WeChat, SMS, email, etc., enabling prompt management control measures, precise positioning of abnormal energy consumption, and reduction of energy waste.
Covering various large-scale energy facilities in hospital buildings to achieve real-time monitoring and recording of the operation, abnormalities, faults, and accident states of energy equipment, forming a full lifecycle equipment archive. Through energy-saving transformations and enhanced maintenance, equipment performance can be guaranteed, and energy equipment utilization efficiency can be improved.

IoT Solution for Centralized Monitoring of Energy Consumption in Injection Molding Machines

Ricardo — Thu, 12 Feb 2026 06:20:58 +0000

Injection molding machines are the primary equipment used to manufacture various shapes of plastic products from thermoplastic (thermosetting) plastics using plastic molding dies.

The operational energy consumption of injection molding machines mainly stems from power drives, barrel heating, and plastic drying heating. Given the low unit price of products, injection molding machines often operate continuously to ensure sufficient profits, leading to significant energy consumption costs that impact corporate operating efficiency. Therefore, energy conservation and cost reduction have become key focuses for the sustainable development of the injection molding machine industry.
Solution Overview

Smart electricity meters have been installed on injection molding machines in the workshop, which are connected to a centralized electric control cabinet.

By deploying the industrial smart gateway within the electric control cabinet and connecting it to multiple smart meters via RS485 serial ports, one-to-many electricity meter data acquisition can be achieved. Subsequently, by configuring device models, networking methods, upload frequencies, and alarm rules, energy consumption data can be transmitted to the factory's energy management platform via 5G/4G/WIFI/Ethernet, enabling functions such as remote monitoring, over-limit alarms, online management, and energy-saving analysis. This facilitates the timely identification of abnormal energy consumption and the implementation of measures to enhance energy utilization efficiency and management levels.

Achieved Functions

Real-time Monitoring: The system can monitor the energy consumption of injection molding machines during production in real-time, including electricity usage time and quantity, and generate visual data reports to ensure data accuracy and completeness.

Data Analysis: The collected energy consumption data is analyzed in-depth to uncover underlying patterns and trends, aiding enterprises in achieving energy conservation, emission reduction, and cost reduction goals.

Alarm Notifications: The system can set energy consumption thresholds and automatically send alarm messages when energy consumption is abnormal or exceeds set limits, prompting operators to take timely measures to ensure production stability and safety.

Remote Access: Operators can view the energy consumption data and production status of injection molding machines, as well as the operational status of individual electricity meters, in real-time via computers or mobile devices.

Detailed Reporting: Various detailed energy consumption reports can be generated as needed, including hourly, daily, monthly, and yearly energy consumption values and comparisons of energy consumption indicators, facilitating the submission of energy consumption reports to relevant departments or internal analysis.

Data Integration: The collected data can be uploaded to existing MES (Manufacturing Execution System) or ERP (Enterprise Resource Planning) systems within the enterprise, enabling data sharing and integration. This supports comprehensive digital management of the production process, enhancing production efficiency and product quality.

Ultrasonic Cleaning Equipment PLC Data Acquisition Solution

Ricardo — Thu, 12 Feb 2026 06:17:55 +0000

In the automotive manufacturing process, various automotive parts are highly susceptible to adhering metal shavings, dust, oil stains, as well as various lubricants, coolants, grinding and polishing compounds, which may obscure flaws on the workpieces themselves and subsequently affect the overall vehicle quality.

Therefore, an increasing number of manufacturers are opting to configure an additional ultrasonic cleaning line to clean automotive parts, ensuring the safety and reliability of workpiece quality.
The entire cleaning process is divided into stages such as loading, warm soaking, ultrasonic cleaning, rust inhibitor spray cleaning, strong air drying, oven drying, and unloading, all of which are automated through the integration of a Programmable Logic Controller (PLC).

Consequently, data acquisition from the PLC enables real-time monitoring and online management of the cleaning process, thereby ensuring consistent cleaning quality. In this regard, provides an efficient and reliable IoT solution.
System Composition

Device Layer: The entire cleaning line, including conveyors, ultrasonic cleaners, dryers, and return pumps, is uniformly connected to the PLC for automated control, facilitating the automatic loading and unloading, spraying, and drying of multiple workpieces.

Acquisition Layer: The PLC is connected to the industrial smart gateway via serial/Ethernet ports, enabling protocol parsing and data acquisition.

The data is then uploaded to the cloud platform or upper computer via 5G/4G/WIFI/Ethernet.
Management Layer: The factory's MES system or IoT platform can receive device operating parameters and perform visualization processing, enabling functions such as monitoring, management, control, and data analysis to ensure safe and reliable production operations.

Achieved Functions

Real-time monitoring of the operational status of ultrasonic cleaning equipment, including key parameters such as device status, temperature, pressure, and liquid level, providing an intuitive reflection of the current working conditions of the equipment and aiding operators in promptly understanding and grasping the equipment status.

Timely alarm issuance when equipment failures or parameter abnormalities occur, along with fault alert information, assisting maintenance personnel in quickly locating the cause of the fault and taking appropriate maintenance measures.

Recording of equipment operational data, including operating parameters, operating duration, fault records, and maintenance records, forming visual data reports to provide strong support for subsequent equipment analysis, optimization, and maintenance.

Analysis of historical data to understand equipment operational patterns, performance change trends, and potential improvement points, providing a basis for continuous equipment improvement and optimization.

Remote Monitoring System Solution for Data Collection from Mineral Processing Wastewater Treatment Equipment

Ricardo — Wed, 11 Feb 2026 07:54:00 +0000

The combustion of coal generates a significant amount of flue gas containing SO2. If discharged into the environment without treatment, it will pollute the atmospheric environment and endanger public health. Therefore, it is essential to properly treat these exhaust gases to meet national standards before discharge.

Wet desulfurization is a widely used method in coal-fired power plant flue gas desulfurization projects. It primarily involves spraying lime slurry in an absorption tower to react with SO2 in the flue gas, thereby removing SO2. However, this process also introduces the issue of wastewater treatment. Therefore, it is necessary to monitor and manage the wastewater treatment equipment to ensure compliance with wastewater discharge standards. In response, provides a configuration monitoring system solution for desulfurization wastewater treatment equipment based on PLC data acquisition gateways.

Solution Overview

Deploy industrial smart gateways in the electrical control cabinets of desulfurization wastewater treatment equipment. These gateways are connected to the controller PLCs and configured with device models, acquisition frequencies, alarm rules, etc. The gateways can then collect real-time operational parameters from the equipment and transmit them to the cloud platform or upper computer via 5G/4G/WIFI/Ethernet, enabling real-time monitoring, fault alarms, management control, and remote maintenance operations. This ensures the safe and stable operation of the equipment and guarantees compliance with wastewater discharge standards.

Implemented Functions

Comprehensive Data Acquisition: Achieve full collection of PLC data from wastewater treatment equipment, ensuring that key information such as equipment operational status, working parameters, and alarm data is uploaded to the configuration platform in real-time. The system is compatible with the HJ212 protocol, enabling seamless integration with environmental protection bureau platforms for data sharing and regulatory purposes.
Visualization: Through configuration interface editing, the operational information of wastewater treatment equipment can be visually displayed, including the start/stop status of pumps, valve open/close conditions, inflow and outflow rates, motor operating frequencies, and water quality conditions. This information can be presented in the form of visual data reports or curve graphs.
Alarm Conditions: Set multiple alarm conditions. When abnormal data such as excessive water pressure or low current is detected, the system automatically triggers alarms and notifies relevant personnel promptly through various channels including WeChat, SMS, email, and platform notifications, enabling rapid response and handling of alarm information.
Remote Control: Enable remote writing of control instructions to PLCs, allowing for remote control of pumps, valves, and other operations. This facilitates prompt management and control in case of abnormalities, effectively preventing production accidents and economic losses.
Remote PLC Access: Provide network channels for remote PLC access, enabling remote programming, debugging, and program uploading/downloading operations for PLCs located in different locations. This improves work efficiency and management levels while reducing travel frequency and operational costs.
Comprehensive Analysis: Through comprehensive analysis of factory production efficiency and environmental protection indicators, accurately assess the operational efficiency and risks of wastewater treatment equipment. This provides a solid basis for making scientific and reasonable decisions to ensure the safety of wastewater treatment.

Remote Monitoring System Solution for Data Collection from Mineral Processing Wastewater Treatment Equipment

Ricardo — Wed, 11 Feb 2026 07:45:53 +0000

Wastewater generated during mineral processing operations is a major contributor to environmental pollution in mining areas.

This wastewater contains a wide variety of pollutants, including solid suspended particles, persistent heavy metal ions, residual chemicals from the flotation process, and oil contamination. If not treated properly and discharged directly, it can cause significant damage to natural environments such as rivers, soil, farmland, and wetlands downstream of the plant, further disrupting the lives and work of nearby residents.
Mineral processing plants can effectively safeguard mining safety by deploying wastewater treatment equipment to collect and treat wash water, cooling water, magnetic separation wastewater, and flotation wastewater, ensuring compliance with discharge standards before release.

To enhance the management level of wastewater treatment equipment and prevent potential abnormal failures, provides a remote monitoring system solution for data collection from mineral processing wastewater treatment equipment.
Solution Overview:
By deploying a industrial intelligent gateway in the electrical control cabinet of the wastewater treatment equipment and establishing a connection with the PLC via a network port or serial port, and configuring device models, collection frequencies, and alarm rules, the gateway can automate data collection.

It transmits the operational status, process parameters, and alarm information of the wastewater treatment equipment to a remote monitoring cloud platform, enabling remote monitoring, fault warning, remote control, online management, and data analysis of the equipment. This effectively improves equipment operational efficiency, enhances management levels and work efficiency, and provides strong assurance for ensuring production safety.

Implemented Functions:

Comprehensive Data Collection: The system collects key information such as the operational status, working parameters, and alarm data of the equipment and uploads it to the remote monitoring cloud platform with high concurrency, low power consumption, and breakpoint resumption capabilities. It also supports transmission via the HJ212 protocol to ensure seamless integration with the Environmental Protection Bureau's platform.
Visual Display: Utilizing configuration software or a cloud-based configuration platform, the system visually displays the operational information of the wastewater treatment equipment, including the on/off status of pumps, valve positions, inlet/outlet flow rates, motor operating frequencies, and real-time water quality, making it more intuitive and understandable.
Intelligent Alarm Mechanism: The system can set up an intelligent alarm mechanism that immediately triggers alarms when abnormal conditions such as abnormally high water pressure, abnormally low current, or water quality fluctuations are detected. Alerts are sent through multiple channels, including WeChat, SMS, email, and platform notifications, to ensure prompt response and handling of alarm events.
Remote Control: The gateway can upload data and issue instructions to the PLC for remote control of equipment such as pumps and valves, enabling rapid intervention in case of equipment abnormalities and effectively preventing the escalation of production accidents and economic losses.
Data Analysis and Decision Support: By thoroughly analyzing key indicators such as treated water volume and treatment efficiency, the system accurately assesses the work efficiency and fault trends of the wastewater treatment equipment, providing a solid basis for formulating scientific and reasonable operation and maintenance strategies and ensuring stable and efficient operation of the equipment.

IoT Monitoring System Solution for Machine-made Sand Wastewater Treatment Equipment

Ricardo — Wed, 11 Feb 2026 07:39:01 +0000

Sand manufacturing plants primarily process natural stones or tailings into construction sand through crushing, screening, and shaping processes to meet the demand for sand and gravel in construction, road, and other engineering fields.
Regardless of the process or equipment used, wastewater is inevitably generated during the sand manufacturing process, primarily from sand washing, dust removal, and cooling circulation processes. This wastewater contains a large amount of suspended sand particles and particulate pollutants. If discharged into the environment without treatment, it can cause river siltation, environmental pollution, ecological damage, and other issues. Therefore, the application of machine-made sand wastewater treatment equipment is becoming increasingly widespread.
A certain sand manufacturing plant employs industrial equipment combining "pretreatment + flocculation sedimentation + mechanical dewatering + sand filtration" to treat wastewater.
However, without dedicated personnel to monitor the equipment, failures may go unnoticed, leading to the discharge of substandard wastewater into the environment, resulting in complaints from nearby residents and penalties from regulatory authorities. To prevent such incidents, the manufacturer aims to achieve visual monitoring and automatic alarms for the wastewater treatment equipment. provides an efficient and reliable IoT solution.
Solution Overview:
The factory's wastewater treatment equipment is controlled by a Siemens PLC.
By deploying a industrial intelligent gateway in the electrical control cabinet and connecting it to the PLC via a network port, and configuring device models, collection frequencies, and alarm conditions, the gateway can collect real-time operational status, process parameters, and alarm data from the wastewater treatment equipment. This information is then transmitted to a cloud-based configuration platform via 4G networks, enabling remote monitoring, fault alarms, remote control, online management, and data analysis of the wastewater treatment equipment through mobile and computer terminals. This effectively supports wastewater treatment operations, enhances management levels and work efficiency, and ensures production safety.
Implemented Functions:
PLC Data Collection: The system collects operational status, working parameters, and alarm data from the wastewater treatment equipment and uploads them to the cloud-based configuration platform. It can also interface with the Environmental Protection Bureau's platform via the HJ212 protocol.
Configuration Display: The system displays the operational information of the wastewater treatment equipment, such as pump start/stop status, valve opening/closing, inlet/outlet flow rates, motor frequencies, and water quality. It also synchronizes and displays information on treated water volume and treatment efficiency.
Alarm Conditions: Multiple alarm conditions can be set to automatically trigger alarms in cases of excessive water pressure, low current, abnormal water quality, etc. Alarm notifications can be sent via WeChat, SMS, email, and platform notifications for quick review.
Remote Control: The gateway can issue instructions to the PLC for remote control of pumps, valves, and other operations, ensuring rapid management and control in case of abnormalities to prevent larger production accidents and economic losses.
Data Analysis and Decision Support: By integrating factory operational information and historical data, the system can effectively uate and analyze the work efficiency and fault trends of the wastewater treatment equipment, enabling scientific and reasonable decision-making for precise and efficient operation and maintenance.

Pharmaceutical Workshop Environmental Monitoring IoT System Solution

Ricardo — Tue, 10 Feb 2026 07:54:49 +0000

For the pharmaceutical industry, achieving a dust-free and sterile environment plays a crucial role in ensuring product quality and production safety.

Excessive humidity in the workshop can lead to drug moisture absorption, resulting in additional material consumption and economic losses. Therefore, an increasing number of enterprises require online monitoring and management control of workshop temperature and humidity to ensure the safe and orderly conduct of production activities.
By integrating industrial intelligent gateways with temperature and humidity sensors, air conditioning control systems, etc., it is possible to collect data on workshop temperature and humidity, air conditioning status, and other parameters, and connect them to a cloud platform or upper computer.

These gateways support various communication methods such as 5G/4G/WIFI/Ethernet, enabling online monitoring and precise control of the environmental quality in multiple workshops. This enhances management levels and work efficiency while ensuring workshop environmental safety and product safety.

Implemented Functions

Real-time Monitoring:
Continuously monitor environmental parameters within the pharmaceutical workshop, including temperature, humidity, pressure differential, and air cleanliness.
Dynamically update data to ensure the accuracy and timeliness of real-time monitoring data.
Intelligent Early Warning:
Automatically trigger an early warning mechanism when environmental parameters exceed preset thresholds.
Send alert messages to management personnel via user terminals, prompting timely action.
Historical Data Query:
Provide a historical data query function to facilitate the analysis of trends in pharmaceutical workshop environmental parameters by management personnel.
Support data export to provide data support for environmental optimization in pharmaceutical workshops.
Remote Monitoring and Control:
Enable management personnel to remotely monitor the environmental conditions of the pharmaceutical workshop via user terminals.
Support remote adjustments to equipment such as fans and air conditioners, as well as setting early warning thresholds.

Underground Garage Carbon Monoxide Monitoring and Fan Control System Solution

Ricardo — Tue, 10 Feb 2026 07:49:56 +0000

In recent years, constructing underground garages in large buildings has become a standard feature in real estate projects, effectively utilizing space and resolving car parking issues.

However, this also brings about other challenges.
Due to the enclosed and sunken nature of underground garages, frequent vehicle traffic, and lack of air circulation, exhaust emissions tend to accumulate, leading to a high concentration of CO gas. This not only causes unpleasant odors but also poses health risks. Therefore, underground garages are typically equipped with ventilation systems to ensure regular and stable fresh air circulation.

To enhance the safety management level of underground garages, provides a carbon monoxide (CO) monitoring and fan remote control system solution.

By deploying industrial intelligent gateways on-site, the system enables data collection from CO concentration detectors and fan controllers. It transmits real-time data on CO concentration and fan operational status to a remote management platform, allowing managers to promptly detect CO concentration alerts and remotely activate fans to ensure healthy and fresh air in the garage.

Implemented Functions

Real-time Monitoring of CO Concentration in Underground Garages: Automatically alerts when CO concentration exceeds safety thresholds, notifying via WeChat, SMS, email, etc.

Remote Control of Fan Operational Status via Mobile and Computer Terminals: Ensures CO concentration is reduced to safe levels while maintaining balanced fan loads to prevent failures.

Data Sharing with Fire Protection and Smoke Exhaust Systems: Real-time synchronization of monitoring parameters, alarm signals, and equipment status to the fire management platform, enhancing overall safety management.

Unified Management of CO Concentration Detectors and Fans: Acquires equipment information, operating hours, and alert frequencies, ensuring safe and stable operation through timely maintenance.

Laboratory IoT Centralized Monitoring and Management System Solution

Ricardo — Tue, 10 Feb 2026 07:39:49 +0000

Regardless of whether it is in scientific research institutions, universities, or large enterprises, the construction scale and quantity of laboratories are continuously expanding, becoming increasingly important infrastructure for driving the development of new technologies and products.

Laboratories typically house a variety of high-precision experimental equipment and materials. If these critical assets are not precisely and timely maintained and managed, it could impact experimental results. For instance, equipment failure downtime, material deterioration, fire hazards, etc., are all issues that laboratory management must strive to avoid. In response, provides a laboratory IoT centralized monitoring and management system solution based on industrial intelligent gateways.
By integrating PLCs, instruments, sensors, and other devices through industrial intelligent gateways, the system achieves protocol conversion and data standardization processing.

It facilitates seamless data exchange among applications such as laboratory environment monitoring, safety alerts, equipment management, and energy optimization, enabling comprehensive monitoring and centralized management of laboratories through a single platform. This enhances laboratory management levels and work efficiency while ensuring the safety and reliability of laboratory personnel and experimental quality.

Implemented Functions

Laboratory Environment Monitoring
By integrating various environmental monitoring sensors, such as temperature and humidity sensors, light sensors, etc., the system continuously collects data on temperature, humidity, carbon dioxide, formaldehyde, VOCs, PM2.5/PM10, and special gases.

It provides alerts via WeChat, SMS, email, and audible/visual signals, enabling rapid awareness of parameters in functional rooms, gas cylinder rooms, gas generation rooms, waste liquid collection rooms, and waste gas emission outlets.
Material Storage Monitoring
Laboratory materials often have strict requirements for temperature, humidity, and light conditions.

By integrating refrigeration equipment, the system monitors equipment operational status, process parameters, and runtime information in real-time. Automatic alerts are triggered in case of equipment failure, allowing timely measures to be taken to prevent material deterioration or damage.
Safety Monitoring and Management
Experimental processes may involve high-pressure conditions, and any abnormalities can impact laboratory personnel and experimental quality.

By integrating pressure gauges, smoke sensors, water immersion sensors, etc., the system monitors whether the laboratory is operating safely and automatically alerts in case of anomalies, enabling measures to be taken to prevent accidents from escalating.
Equipment Management and Energy Consumption Monitoring
The system categorizes and manages monitored equipment, providing insights into the types, quantities, statuses, parameters, and energy consumption of equipment in various laboratories. It enables unified management, intelligent operation and maintenance, and data analysis, optimizing resource allocation, improving energy efficiency, and reducing laboratory operational costs.

School Energy Consumption Monitoring and Intelligent Management System Solution

Ricardo — Fri, 06 Feb 2026 08:39:35 +0000

For schools, factors such as expansive campus areas, diverse functional buildings, and high foot traffic often lead to elevated energy consumption costs, imposing significant burdens on school management.

By implementing the School Energy Consumption Monitoring and Intelligent Management System, schools can gain insights into the consumption of various energy sources, including water, electricity, gas, and heat, down to different time periods and specific buildings. This system also identifies areas of high energy usage and anomalies, playing a crucial role in energy conservation and enhancing energy utilization efficiency.
Through the deployment of energy consumption data acquisition gateways at various school facilities such as power distribution rooms, water supply stations, and heat exchange stations, and by connecting to smart electricity meters, water meters, and thermal energy meters, real-time energy consumption data can be collected and integrated into the school's energy consumption monitoring and management platform.

This enables functions such as categorized energy measurement, visual display, anomaly alerts, and data analysis, providing comprehensive and reliable data support for energy-saving initiatives.

Implemented Features:

Real-time Collection of Diverse Energy Data: Real-time collection of water, electricity, heat, and other energy consumption data, which is then transmitted via 5G/4G networks to the school's energy consumption monitoring and management platform.

The system supports one-to-many data collection, featuring high concurrency, low power consumption, and resume-from-breakpoint capabilities.
Categorized Equipment Directory: Formation of an equipment directory for different scenarios, enabling categorized management of energy consumption in dormitories, teaching buildings, offices, streetlights, etc.

It facilitates easy access to energy consumption data for air conditioning, lighting, heating, water usage, irrigation, etc.
Anomaly Alerting: By setting alert thresholds and notification methods, the system can promptly issue alerts in case of abnormal energy consumption, notifying via WeChat, SMS, email, etc., enabling quick diagnosis and remedial actions.

Integration with Building Automation Systems: Integration with building automation systems allows for remote control of PLCs, enabling remote start/stop of equipment such as air conditioners, fans, water pumps, and valves.

It also automatically alerts in case of faults, ensuring safe and stable equipment operation.
Continuous Tracking and Analysis: Continuous tracking of school energy consumption data reports, allowing for the identification of abnormal high energy consumption and energy-saving opportunities by comparing energy consumption under different conditions. This facilitates the formulation of scientific and reasonable decisions to further enhance energy utilization efficiency.

Solution for PLC Data Acquisition and Remote Monitoring System of Feed Pellet Cooling and Drying Machine

Ricardo — Thu, 05 Feb 2026 08:16:18 +0000

With the continuous advancement of modern industrial technology, feed pelletizers have found increasingly widespread applications in agricultural and animal husbandry production.

As an indispensable device in the feed processing process, the cooling and drying machine plays a crucial role in ensuring feed quality and enhancing production efficiency. However, during actual production, issues such as complex equipment operation and difficult data acquisition often hinder effective guarantees of production efficiency and quality, thereby impacting enterprise operational benefits and increasing production risks.
Based on a PLC data acquisition and remote monitoring system, provides an efficient and reliable industrial IoT solution.

By connecting the PLC of the feed pellet cooling and drying machine to the industrial smart gateway, real-time acquisition of equipment operational parameters and data communication can be achieved. The data is then transmitted to a cloud platform or local upper computer via 5G/4G/WIFI/Ethernet, enabling better monitoring of the production process and the implementation of timely and effective control measures.

System Functions

Data Acquisition: The gateway connects to the PLC of the feed pellet cooling and drying machine, enabling real-time collection of equipment operational data (such as operational status, voltage, current, temperature, and humidity) and transmitting this data to the monitoring system.

Fault Warning: Customizable fault warning rules can be set to promptly notify relevant personnel when equipment abnormalities occur, minimizing production losses. Notifications can be received via WeChat, SMS, or email.

Remote Monitoring: Using a smartphone or computer, personnel can monitor the location, operational status, and working parameters of the feed pellet cooling and drying machine in real-time and adjust equipment operational parameters as needed.

Remote Maintenance: Equipped with a device maintenance express line, remote programming, debugging, and program uploading and downloading of the PLC can be performed, enhancing maintenance efficiency and reducing travel costs.

Data Analysis and Optimization: Through visual display and intelligent analysis of the collected data, bottlenecks and issues in the production process can be identified, enabling optimization of equipment operational parameters and improvement of production efficiency and feed quality.

By implementing real-time monitoring, data analysis, and optimization, we can better respond to unexpected situations during the production process, achieving efficient management and quality control of the pelletizing system, and providing reliable support for the development of agricultural and animal husbandry production.

Station Energy Consumption Data Acquisition IoT Solution

Ricardo — Thu, 05 Feb 2026 08:11:23 +0000

Whether for cars, trains, or high-speed rail, stations serve as crucial transportation hubs, undertaking functions such as passenger gathering and dispersion, and transportation organization, providing long-distance travel services for urban and rural residents.

However, with the increasing number and scale of station constructions, along with the diversification of services provided, energy consumption issues have inevitably arisen, leading to significant energy costs and operational burdens.

As large public buildings and transportation hubs, railway stations are characterized by vast spaces, multiple functional areas, high passenger flow, and continuous year-round operation.

This results in a high demand for energy-consuming equipment such as air conditioning, fresh air systems, heating, and lighting, with operating times far exceeding those of other ordinary public buildings, leading to substantial costs for water, electricity, gas, and heat consumption. Therefore, achieving real-time monitoring and data acquisition of station energy consumption holds significant value and importance for enhancing energy-saving efforts.

By deploying energy consumption data acquisition gateways in various scenarios within the station, such as power distribution rooms, pump stations, and heat exchange stations, it is possible to connect multiple water meters, electricity meters, gas meters, and heat meters.

These gateways can then real-time acquire energy consumption data and transmit it to the station’s energy management platform via 5G/4G/WIFI/Ethernet, providing functions such as visual display, remote monitoring, intelligent alarming, and data analysis. This enables a quick understanding of energy consumption variations and abnormal energy usage information within the station, facilitating precise energy-saving measures and efficient decision-making. It effectively improves energy utilization efficiency and energy-saving management levels, further reducing energy consumption costs and promoting the creation of “dual-carbon” green stations.

Implemented Functions

Data Acquisition and Integration: Connects multiple water meters, electricity meters, gas meters, and heat meters to achieve data acquisition and integration into the station’s energy management platform, enabling standardized data processing.

This allows for a quick understanding of the operational status and energy consumption data of various energy-consuming devices within the station (such as lighting, air conditioning, and elevators).

Visual Energy Display: Establishes an energy data dashboard to visually display station energy network data, presenting station energy consumption data in the form of charts and reports to managers.

This enables quick viewing of energy consumption data for individual devices or systems, as well as energy consumption over single or cumulative time periods, facilitating the formulation of scientific energy-saving measures.

Intelligent Energy Management: By integrating station operational data, passenger flow, and energy consumption costs, it is possible to reasonably adjust the energy usage plans for various devices and adjust energy loads. This ensures station operational safety while reducing energy consumption and waste, thereby lowering energy consumption costs and quickly identifying abnormal energy usage.