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Overseas Manufacturing Factory IoT System Intelligent Transformation

Client Background

The client is an international testing equipment manufacturer. With the expansion of their business, they need to carry out intelligent Industrial Internet of Things (IoT) transformation for their existing factory production equipment and processes.

Client Objectives

The client wants to enhance production management and reduce costs by implementing end-to-end IoT sensing, real-time monitoring on large screens and mobile devices, covering equipment health, material management, production oversight, and environmental monitoring.

ZEDIoT Solutions

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Data Integration Framework

A robust data integration framework allowing for unified monitoring and analysis.

Real-time Data Processing

Immediate monitoring of energy, consumption, and equipment status

Scalable Infrastructure

A scalable infrastructure to accommodate future growth

Hardware and Software Upgrade

Realize the fundamental transformation of equipment into intelligent assets

Tech Architechture

new framework

Project Highlights

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Seamless connectivity

Seamless connectivity between all critical components of the factory & eal-time monitoring

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Improved efficiency

Optimizes workflows, eliminates bottlenecks, and enhances operational efficiency by leveraging automation and intelligent analytics

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Predictive maintenance

Identify potential equipment failures before they occur to enable predictive maintenance and avoid costly breakdowns and downtime.

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Data-driven decision-making

Provides analytical tools and customizable dashboards to support data-driven decision-making to increase productivity and profitability.

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Scalability and flexibility

With scalable architecture and modular design, it can easily adapt to your business expansion and adapt to changing market needs.

Real-World Results

Currently, the system has been successfully implemented in multiple overseas factories of the customer, resulting in a significant improvement in overall production efficiency compared to before the transformation.

Team Structure

Product Manager (1 person)

Product Designer (1 person)

Architect (1 person)

Front-end Developers 1 person)

Senior Back-end Developer (1 person)

Learn more about the business upgrade and transformation stories of ZED’s clients

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Smart Greenhouse Elf Product R&D

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AGRO-METEOROLOGICAL STATION AND INFORMATION MANAGEMENT SYSTEM

Intelligent Wind Farm Monitoring Solution

Solution Background


Traditional wind turbine management is facing numerous challenges and often finds itself in a reactive mode. To address this, it is necessary to install corresponding sensing devices within the wind turbine structural system and utilize online monitoring technologies to achieve real-time sensing of operational conditions and timely warnings of equipment hazards. This assists managers in making informed decisions and issuing appropriate instructions, enabling early detection and prompt mitigation of potential accidents, ensuring the reliable operation of the structure in a consistently good condition.

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Safety concerns

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economic losses

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Solution Components


  • Wind Turbine Gear Vibration Monitoring
  • Wind Tower Settlement and Inclination Monitoring System
  • Blade Condition Monitoring System
Wind Turbine Gear Vibration Monitoring
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turbine vibration monitoring

tracking fault frequencies of major components, and operational status

Configure settings for total vibration value, broadband energy, narrowband energy, time-domain waveform, power spectral density curve, long data acquisition, envelope spectrum parameters, and SFI (Spectral Fatigue Index) parameters.

Wind Tower Settlement and Inclination Monitoring System
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tower Real-time monitoring

Settlement, Sway Displacement, Stiffness Circle Analysis

Wind turbine tower sway, tilt, and uneven settlement monitoring system for ensuring tower safety. It provides real-time monitoring of tower tilt angle, sway displacement, and uneven settlement of the tower base.

Blade Condition Monitoring System
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Blade condition monitoring

Diagnostic Analysis: Changes in Natural Frequencies, Imbalance of the Three Blades

Users can analyze turbine blade conditions systematically using various diagnostic tools. These tools detect trends in blade natural frequencies, imbalance, similarity among the three blades, effective values, and frequency amplitude scatter plots.

Solution Main Functions


Monitoring Data Collection

Integrating sensor tech, signal processing, and computing enables real-time wind turbine monitoring. Data is collected and sent to the control room server for processing and analysis.

Algorithm Development

Edge computing and deep learning analyze data, generating control commands for wind turbines based on processed results stored in a server.

Alarm Notifications

Multiple warning settings ensure system safety, with notifications available via LAN Web and App, supporting email and SMS alerts.

Expert Diagnostics

The Remote Monitoring Center offers fault warning, emergency handling, expert consultation, and on-site diagnostics to promptly address issues until resolved.

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Solution Features


Integrated Management

Unified deployment, maintenance, monitoring, and display for smart wind farms.

On-Demand Configuration

Flexible application and device setup based on project needs, with role-specific access and permissions.

Cost-Effective Efficiency

Standardized management reduces maintenance cycles and lowers staffing and operational costs, improving work efficiency.

Quality and Safety

ZedIoT merges sensors, edge computing, cloud computing, and manual inspections to address quality, and predictive maintenance.

Solution Hardware and On-site Deploy


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More Cases

Civil Engineering and Construction Security Monitoring IoT Platform

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One-Stop Custom IoT Development Provider

Smart Greenhouse Elf Product R&D

Background


The temperature and humidity fluctuations in greenhouses are crucial for crop growth, and greenhouse ventilation is a key aspect of greenhouse cultivation. However, this process is physically laborious. By leveraging the “Internet + Agriculture” model and integrating technologies such as cloud computing, big data, and the Internet of Things (IoT), we have developed an intelligent product called “Smart Greenhouse Elf” that meets the ventilation requirements of greenhouses. This product aims to help greenhouse farmers enter the era of smart agriculture and inject new vitality into the upgrading of agricultural productivity in China.

Pain Points Need to Address


  1. Greenhouse facilities heavily rely on manual labor and lack mechanization.
  2. Traditional greenhouse vegetable cultivation relies on experience and intuition for ventilation. Inaccurate ventilation can easily lead to crop damage and reduced yields.

Project Objective


The main objective of this project is to design a “Fast Connection and Dual-Control” smart greenhouse elf that can be applied in greenhouse cultivation. It aims to address the high labor cost associated with greenhouse ventilation management and enhance the emergency prevention capability of unattended greenhouses during extreme weather conditions.

Product Features and Functionality


1)    Hardware Control Features:

  • Quick monitoring of temperature and humidity inside the greenhouse

Users can view real-time greenhouse temperature and humidity through a mobile app or the “Greenhouse Elf” display, and adjust the greenhouse conditions as needed.

  • Automatic opening and closing of vents based on temperature

Users can set temperature thresholds on their mobile devices. When the greenhouse temperature and humidity exceed or fall below the defined values, the intelligent monitoring system automatically adjusts the temperature, ventilates, and maintains a constant temperature inside the greenhouse.

  • Remote control of manual vent opening and closing

Users can remotely control the opening and closing of roll-up motors via their mobile phones, enabling automatic ventilation and maintaining the optimal temperature and humidity for vegetable growth.

  • Historical data curves

Users can track the historical temperature data curve to stay informed about greenhouse temperature changes.

  • Automatic alerts

Users receive timely notifications via the mobile app when there are significant temperature variations.

2)        Software Functionality:

  • Work status monitoring

The app’s homepage displays weather and environmental information of the location, the number of connected devices, and provides status indicators (orange for offline, green for online) and alerts for abnormal device conditions.

  • Control and operation of on-site equipment

Users can adjust the roll-up motor devices on-site based on real-time temperature, vent limits, and control mode information displayed on the app. They can set automatic temperature control, manual control, dehumidification settings, alarm settings, and disable alarms, enabling real-time monitoring and efficient control of the greenhouse environment.

  • Add Devices

Users can add devices by scanning serial numbers and specifying the greenhouse installation, location, crop type, crop variety, and planting time.

  • Batch control

Users can perform batch operations such as enabling/disabling automatic temperature control, opening/closing all vents, dehumidification, and termination of operations for multiple or all ventilation fans on-site with the click of a button.

Product Progress


The R&D work has been completed, and the client have conducted pilot deployments in actual greenhouses. The project is about to be widely promoted on a large scale.

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One-Stop Custom IoT Development Provider

Low Cost Home Bluetooth Gateway Development

Background


With the promotion of Bluetooth wireless communication technology, it provides a lot of convenience for the broad audience, but at the same time, the short transmission distance of Bluetooth also brings a lot of scene restrictions. In order to solve this problem, many manufacturers use the strategy of collecting data through Bluetooth gateway and then uploading the network protocol to the server to solve this problem.

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Project Requirements


  • The cost of a single set of hardware is less than 100 RMB.
  • With screen display.
  • It has the function of connecting WiFi.
  • It has the function of fast distribution network.
  • With rechargeable lithium battery power supply function.
  • With firmware remote OTA function.

Implementation Plan


Lexin ESP32 solution is adopted, which has WiFi and BLE functions, and the price is low. The firmware is written in Ardunio framework, and C + + language is used to realize Bluetooth data acquisition/analysis/upload.

Feature Highlights


  • Remote OTA function
  • Both WiFi and BLE functions
  • The screen displays the current data information and alarm information

Main R & D works


Gateway Development (Hardware Development + Firmware Development)

  • Selection of gateway component module
  • Schematic and PCB design
  • Firmware writing
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One-Stop Custom IoT Development Provider

Learn more about the business upgrade and transformation stories of ZED’s clients

Industrial IoT Application System for Manufacturing Factories

Background

The customer is an overseas testing equipment manufacturing and sales company. With business expansion, they require the transformation of their existing factory production equipment and processes into an intelligent industrial IoT system. This will enable equipment health monitoring, material management, production process monitoring, and environmental monitoring, achieving end-to-end IoT sensing. The system will feature visualized large screen displays and real-time monitoring via mobile devices, aiming to comprehensively enhance production management and reduce production costs.

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Main Functions

Intelligent Data Acquisition and Control Center:

Utilizing wired and wireless gateways and intelligent devices, this platform transfers collected data to a central processor, which then uploads it to a cloud-based platform and distributes it to various subsystems. This enables centralized data processing for all devices.

Visualization Monitoring of Equipment Data:

The platform provides visual monitoring for production enterprises, including equipment status parameters, environmental parameters, and production management process data. Devices can be grouped and categorized, simulating scenarios such as distribution boxes and rooms. With intelligent rule engines, real-time alerts and alarms can be generated for abnormal device conditions, facilitating efficient management of production processes on the production line.

Data Statistics and Reporting:

The platform offers rich reporting and analysis capabilities. It allows for year-on-year and month-on-month analysis based on various parameters of power equipment. It also enables comparison of actual consumption of similar devices under the same or different environments, providing precise big data support for subsequent analysis functions and security strategies of the platform.

Energy-saving Potential Analysis and Consumption Reduction Techniques:

Through energy consumption monitoring systems, data storage, and comparative analysis, the platform identifies energy consumption causes. Based on the analysis results, it enables cost control and planning for the platform’s future development.

System Showcase

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Tech Architecture

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Project Achievement

At present, the system has been successfully operated in customers’ factories at home and abroad to provide smart electricity safety services.

More Cases

Seeking IoT Development Guidance?

Give us a call and we will help you analyze your requirements and tailor a suitable solution for you.

Connected Vehicle Intelligent Cloud Control Platform

Project Background

The customer provides products and solutions to multiple automotive manufacturers. They have also established partnerships with well-known domestic and international insurance/reinsurance companies and logistics enterprises to provide targeted solutions, helping the industry reduce costs and increase efficiency.

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Project Requirements

Real-time monitoring of intelligent terminal devices installed in existing vehicles, collecting vehicle equipment, road, environmental information, and data from other onboard sensors. The collected information from multiple sources is processed, computed, and shared on an information network platform. This enables big data analysis, algorithm training, data modeling, data sharing, and secure publishing. The system should provide effective guidance and supervision of vehicles based on different functional requirements, as well as offer professional multimedia and mobile Internet application services.

Main Functions

· Data Visualization:

Visualize statistical results or big data analysis results, including displaying key data through numbers, charts, video images, radar scenes, and other forms.

· Real-time Monitoring of Vehicle Condition:

Clicking on a vehicle icon allows users to view detailed information about the vehicle, including license plate number, owner information, vehicle type, location name, fatigue status of the vehicle, real-time tracking of the vehicle’s trip trajectory, and the ability to view trajectory playback.

· Electronic Geofencing:

When logistics vehicles enter or exit geofenced areas, the platform determines if the vehicle is parked or traveling outside of working hours and the geofenced area. It issues different alerts based on the situation.

· Data Statistics:

Includes driving statistics, nighttime driving statistics, overspeeding statistics, fatigue driving statistics, risk warning statistics, and AEB/FCW event statistics.

· Device Energy Consumption Monitoring:

Real-time monitoring of changes in vehicle fuel consumption and generating reports or fuel consumption curves for historical periods. This provides a visual representation of normal and abnormal fuel consumption patterns and insufficient refueling to achieve effective fuel consumption management.

Project Highlights

· Real-time monitoring of vehicles to obtain vehicle location, posture, and status information, and provide high-risk scene reminders;

· Vehicle operation analysis to analyze the operation of vehicles, combined with trip road conditions and fuel consumption calculation to identify high-risk/major accident-prone areas;

· Alarm management to display accident alarm information during vehicle driving through images, videos, sounds, etc.;

· Customized location check-in function: when drivers start work, they need to check in within 50 meters of the logistics vehicle using a WeChat mini program. The distance between the driver and the vehicle location is calculated to determine whether the check-in is successful, ensuring that the driver arrives on time.

· Big data security management relies on multi-dimensional data analysis to ensure the safe operation of enterprise vehicles;

· Supports process-oriented, scenario-oriented, and intelligent customization, providing visual development tools and supporting integrated development and operation, shortening product iteration cycles.

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Project outcome

The platform has been successfully launched in the market, providing effective management of logistics vehicles. It can collect vehicle information in real time, accurately, and efficiently. This includes real-time radar scenes, video images, location information, vehicle operational data, and driver behavior information during the driving process. Through the platform’s real-time, quarterly, and annual behavior analysis reports, it can evaluate driver behavior, risk trigger probability, and accident avoidance data, providing robust safety information assessment. The ultimate goal is to achieve risk control, strengthen management

More Cases

Seeking IoT Development Guidance?

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Domestic Research and Development of Medical Industry Equipment

Challenges faced by traditional medical equipment sellers

Our client is a large domestic medical equipment vendor that primarily sells overseas medical devices and instruments. In recent years, they have gradually shifted towards domestic production and the development of domestic medical equipment brands. While the client possesses rich knowledge and technical background in the field of medical devices, they lack the necessary research and development talents. Furthermore, their new products need to demonstrate superior functionality and efficiency to be innovative and ahead of the competition.

Despite their extensive knowledge and technical background in the medical device industry, they face a challenge in the form of a lack of research and development talent. Additionally, their new products need to be leaders in terms of functionality and efficiency, requiring innovation. To address these challenges, they approached the team at ZedIoT for assistance. They hoped to leverage our strengths in hardware driving, software interaction, cloud platform development, data analysis, and algorithm computation, and complement it with our industry knowledge, to customize a fully automated cell analysis system and a cloud-based operation and maintenance management platform.

How we addressed the client’s business challenges

Developing indigenous medical devices and IoT solutions in the healthcare industry is a challenging process that requires a strong team with expertise. It necessitates the formulation of sound development plans and risk management strategies, continuous innovation and improvement, collaboration with relevant stakeholders, and adherence to applicable regulations and standards to ensure the success of indigenous medical device development and IoT solutions. Data security and privacy concerns, in particular, were a significant worry for the client. We assigned experienced technical experts to engage with the client, and together, we implemented appropriate encryption and security measures to alleviate their concerns.

Upgrade and transformation of medical equipment using IoT

After initial validation, we developed a customized analysis and control system for the client, specifically designed for operating and controlling a particular instrument. Through dynamic algorithms and reagent analysis, we achieved fully automated high-speed batch testing for various pathological data.

This system not only serves as a standalone LIS (Laboratory Information System), but can also seamlessly integrate with the hospital’s HIS (Hospital Information System). We enabled unmanned, automated testing of devices such as lasers and electron microscopes, generating reports based on predefined templates. The entire system consists of a control and analysis terminal, a client-side operation terminal, and an equipment operation and monitoring terminal. Additionally, we established an IoT cloud platform to track device information and operational status through a dedicated network. This allows for remote debugging, periodic inspections, and remote troubleshooting, enabling smart operation and maintenance. As a result, it reduces the on-site presence time of after-sales personnel, minimizes the need for manual equipment operation and maintenance, and improves operational efficiency, thus saving costs.

The business upgrade of client company

The domestic medical equipment developed by the client has been successfully deployed in dozens of major hospitals, receiving unanimous acclaim from hospitals and laboratories for its high-speed and efficient testing capabilities, rich data content, and user-friendly operation management interface. Our solution has also significantly reduced the operational burden on the client’s maintenance team. The client continues to collaborate with us to explore the development of new products in other relevant categories, contributing to advancements in medical technology.

Smart Medical Solution

Smart Medical Solution

ZedIoT utilizes IoT and cloud computing technologies to enable traditional equipment manufacturers to undergo intelligent transformation, thereby boosting their market competitiveness.

The R&D of wearable devices for human health monitoring to the growing demand for smart healthcare in the market.

Business Pain Points of Traditional Medical Equipment Manufacturers

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Device Data Collection Challenge

Traditional medical devices often lack real-time data collection and transmission capabilities, leading to manual recording and data collation processes. This increases workload and the risk of errors.

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Lack of Digital Competitive Advantage

The digital requirements of hospitals are increasing rapidly. However, traditional equipment has limited data storage and analysis capabilities, making it challenging to quickly analyze large volumes of data and extract valuable insights.

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High Cost for Equipment Maintenance

Traditional medical equipment lacks remote monitoring capabilities, requiring maintenance personnel to physically visit the site to assess the equipment’s status and operation. This leads to a waste of time and resources.

ZedIoT Four Smart Medical Solutions

ZedIoT aims to offer customers not only professional technical support in intelligent device management and control but also to explore additional business value. Through digital management methods, ZedIoT strives to assist customer enterprises in achieving industry-leading capabilities.

Medical equipment IoT transformation

By leveraging Internet of Things (IoT) technology, traditional medical equipment can be connected to a cloud platform, enabling remote monitoring, data collection, and analysis of the equipment. This enhances the intelligence level and market competitiveness of medical equipment.

Development and construction of smart medical system

We offer a range of medical system development services to cater to the intelligent management requirements of diverse medical scenarios. Our services aim to enhance the level of medical information management.

Customization of medical equipment digital management system

Based on the digital transformation requirements of the enterprise’s equipment, we specialize in designing and developing a digital management system that aligns with the needs of the equipment market. Our aim is to enhance the digital management capabilities of medical equipment.

R&D of wearable human health monitoring equipment

By integrating sensor technology, Internet of Things (IoT), and cloud computing, we enable real-time monitoring, data collection, and analysis of human health indicators. This enables us to provide personalized health management and telemedicine services to users.

Medical Equipment IoT Transformation

The utilization of Internet of Things (IoT) technology connects traditional medical equipment to a cloud platform, enabling remote monitoring, data collection, and analysis of the equipment. This enhances the intelligence level and market competitiveness of medical equipment.

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Development and Construction of Smart Medical System

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Device IoT management system

We offer tailor-made gateways for devices to enable device networking and cloud-based data integration.

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Operation and maintenance management system development

We provide customized R&D services for remote operation and maintenance of equipment, as well as data acquisition system development.

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Medical health monitoring APP development

With a wearable health monitoring device, you can conveniently check your health indicators anytime and anywhere.

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Development of host computer inspection program

Research and development of host computer test programs for medical devices aims to achieve visual control and monitoring of equipment.

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Middleware desktop system development

We offer research and development services for medical middleware desktop applications to enable remote device control.

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Hospital third-party system integration

We provide services for integrating hospital third-party HIS (Hospital Information System) and LIS (Laboratory Information System) systems.

Customization of Medical Equipment Digital Management System

ZedIoT specializes in designing and developing a digital management system that aligns with the equipment market’s needs, catering to the digital transformation requirements of enterprises. This system enhances the digital management capabilities of medical equipment.

– Data visualization

Based on monitoring data, perform in-depth analysis to generate data insights and visual dashboards, assisting hospitals in making procurement decisions. For example, in the case of insufficient reagent inventory, the system will prompt the hospital to increase the procurement quantity of the relevant reagents.

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– Asset management

It is possible to integrate with the ERP system to obtain asset data of various distributors and end customers. This includes basic information about the equipment such as model, specifications, manufacturer, purchase date, warranty period, and more.

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– Equipment management

Multiple dimensions of real-time usage data can be monitored for the equipment, including device status, cumulative usage of reagents and consumables, number of sample tests, cumulative operating time of the device, and more.

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– Consumable consumption statistics

Track and analyze the usage of equipment consumables, such as reagent sampling data, sample statistics, and consumption quantities of different reagents and consumables for each device. This can be done by conducting statistical and analytical analysis based on daily, weekly, and monthly data dimensions, resulting in more refined data analysis conclusions.

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– Statistical analysis of data

By conducting statistical analysis and evaluation of equipment data, the usage and performance of the equipment can be assessed. This provides a basis for equipment management and decision-making.

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– Equipment maintenance management

Developing a maintenance plan for the equipment and tracking its execution is essential to ensure its normal operation and extend its lifespan.

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– Remote monitoring of equipment

By remotely monitoring the operational status of devices through a network, potential issues can be promptly identified and addressed, thereby enhancing the reliability and safety of the equipment.

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– Equipment failure warning

By monitoring and analyzing equipment data, timely alerts can be generated for equipment failures, thereby improving the stability and reliability of equipment operation and ensuring the normal utilization of medical resources.

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R&D of Wearable Human Health Monitoring Equipment

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Our Solutions Value

01

Increase the data value of medical devices

IoT transformation enables remote monitoring and automated operation and maintenance of medical devices, thereby reducing maintenance costs. Through data analysis and mining, it can provide medical institutions with comprehensive and accurate information, enhancing decision-making capabilities and improving healthcare services.

02

Improve the efficiency and quality of healthcare services and enhance diagnosis and treatment effectiveness

By real-time data collection and transmission, healthcare professionals can remotely monitor the working status of devices and the health condition of patients. This reduces the manual workload of recording and organizing data, thereby improving the efficiency of healthcare services.

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Build a healthcare ecosystem centered around human health

By researching and developing various types of wearable health monitoring devices, B2B enterprises can contribute to building a healthcare ecosystem centered around human health. This enables the exploration of more value from medical data.

Case Study

Blood analyzer data acquisition and analysis platform

Blood analysis Instrument Data Middleware development

Smart body health monitoring device development

Intelligent endoscope equipment development

Smart infant crying detection product customization

Smart temperature patch

Agro Meteorological Station Information Management System

Background

Our Agro Meteorological Station Information Management system helps agricultural businesses and research institutes manage weather data from agro meteorological stations effectively. The system supports real-time data monitoring, automatic alerts, and historical trend analysis, ensuring accurate environmental insights for smarter decision-making.

In the country’s major agricultural production areas, only part of them are now mechanized. Most activities like pest control, crop irrigation, topdressing and soil moisture monitoring on other areas still rely on manual operation, supervision, even traditional experience because of the lack of scientific guidelines. So losses can be easily made due to all these above stuff with addition of the meteorological disaster caused by the weather and other factors.

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Our Solution

If using Internet of Things in daily farm work, and managing the farmland through “Internet + Meteorology”, it is possible to reduce a lot of labor charges while ensuring the growth of crops in these automated operation ways such as real-time monitoring of meteorological data, APP supervision and disaster/ soil moisture information issue.

Client Demand

An early warning and agricultural activities’ adjustment can be made according to the information collected by the real-time monitoring of meteorological data and real-time video in the farmland; all operations will be tracked and managed by using Internet of Thing, to offer a whole analysis of agro-meteorological information and a meticulous service of agricultural instruction. In general, it will be helpful to provide scientific basis for development of agricultural climatic resources, adjustment of plant policy and disaster prevention and reduction of agro-meteorology, as well as guaranteeing food security.

Our Implement Plan

First, install an agro meteorological station based on solar energy, 3G/4G, camera and meteorological sensor on the farmland of each pilot. Then a web-based system will be built to display the real-time data of temperature, rainfall, wind power, soil moisture, as well as the growth of crops, so agency of agriculture and forestry, meteorology can acquire first-hand agricultural news and make scientific decisions accordingly.

At the same time, all data and functions are available on the APP, which enables users to arrange the agricultural activities without leaving home.

In addition, three LED display screens will be set on the information center of meteorological bureau, farmland and outdoors to issue and upgrade the disaster/ soil moisture information. While a deinsectization light controlled by sensor and remote control is also installed.

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Implementation and Results

The project is implemented into two phases: first phase is the installation of agro-meteorological station, which works independently and wireless via solar panels and 3G/4G instead of the laying of wire and network cable. A web-based system is also built to control all agrometeorological stations. And meteorological data such as temperature, wind direction, humidity, barometric pressure, rainfall, dew point will be transmitted to the system in real time, to help farmers deal with unexpected weather conditions. What’s more, a video can be made via the camera to show the latest agricultural information. The main features of the online web system are decision-making reference, meteorological service products, actual situation of the farmland, agrometeorological data, remotely control and science knowledge of agrometeorology. Therefore farmers and related agencies can arrange agricultural activities according to the web information. One pilot has found the hidden trouble timely through the system, and its crop yields has increased substantially compared to last year.

APP development is the second phase, its implement results consist of: enabling meteorological agency and agricultural department to acquire the latest agro-meteorological information and the growth of crops; promoting cooperation among various departments, such as a fusion of meteorological agency and basic-level service project of agriculture department, water conservancy office, forest department and postal department to provide the agro-meteorological service and products to the grass-roots users, a joint action between meteorological agency and agriculture department to issue information of weather forecast, technology of disaster prevention and reduction and monitoring and forecasting of insect pests. Thus farmers can arrange the agricultural activities scientifically and effectively instead of relying on traditional experience, and meteorological and agricultural information issued by meteorological agency seem to be more accurate.

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Powerful Luggage Wrapping Machine IoT Upgrades

Client Background

Sydney Airport, the busiest airport in Australia, provides services to millions of passengers every year. While you passed check-in part H, you probably noticed the big luggage wrapping machines around. These machines can quickly seal the bags with recyclable clear plastic in 15 seconds. We wrote all the programs to control the big machines, cloud management service, and all related technical points.

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System Features

Device Control

Terminal

  • Implement device packaging process
  • Record device operation status
  • Transfer data to POS for checkout
  • Adjust device speed and steps

POS Cashier

Terminal

  • Implement cashiering and statistics
  • Record employee work time
  • Packaging records

Remote Management Terminal

  • Obtain employee work status
  • Obtain packaging and cashiering status
  • View abnormal data
  • Box management and sales records

Technical Points

PLC programming

Collect the sensor information and control the wrapping machine’s different motors to work at designated speed and round of times so that the bags can be well wrapped while saving the plastic materials.

Touchable Application Programming

The PLC is controlled by a touchable tablet, and we developed the APP with a control interface to communicate with the PLC collect information, and send it to the cloud server.

Staff management

.Allow staff to check in and check out, calculate the work hours, etc.

Data report and analysis

Develop reports for the daily revenues by staff and time.

Solution

Our team designed a cloud based solution for the project. All data are transferred to the database in the cloud in the real time.

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System and Installation operation display

In the software design for this project, we provided clients with both prototypes and design drawings as the basis for development. Through desktop software, users can control the packaging machine to perform packaging operations, and they can use a desktop POS machine to complete the checkout process after packaging. Administrators can view and manage operations across multiple terminals.

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