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-Defibrillator / AED Tester

AIMS-AED Intelligent Management System

An after-sales intelligent management system designed for AED distributors, maintainers and leasers. DFS200 field tester measures the electric shock joules, provides compatible defibrillation waveform, and has an embedded battery voltage multimeter for various AEDs brands.

In addition, the test data is uploaded to the AIMS by the APP, and it also supports any IoT-enabled AED to upload AED self-test reports to the management system regularly. Other features include long-term recording of test results, capable of detecting data, notification of abnormal messages, and dispatching management.

  • Design for AED distributors, maintainers, and leasers
  • High-efficiency, low-cost and high-quality after-sales service
  • Users assign work orders to maintenance engineers directly
  • Manage maintenance schdule, consumable replacement schedule and automatic reminder setting
  • Customer management: record and query customer information, installation location, customer feedback, etc.
  • Output reports allow users to keep track of installed AED status
  • IoT modules enables AED owners to upload self-tests and AED status reports to AIMS auotomatically and regularly

AIMS Benefit Analysis


AIMS-AED intelligent management system

Traditional AED inspection

Consumables management

The system is calculated by itself and sends out a notice in advance to remind the replacement

Manual record / excel and others


Maintenance Test

• Multiple users, multiple fields, and multiple work orders can be managed at the same time

• Maintenance engineers operate with handheld DFS200 and APP

• It can detect the electric shock waveform and the remaining power of the AED, and intelligently analyze the proper condition of the parts

• Synchronous upload of data to AIMS, reducing human error

1~2 times / year manual inspection on paper, high error rate

Device condition

With IoT module, it can do real-time detection and report, open abnormal work orders and track them in real-time

After the AED self-check abnormality is issued, there is no one to record and report back, and there is no tracking mechanism

Device history

The system records the equipment history completely, the processing status of maintenance/consumables/abnormal events for easy access

Manual record / excel and others


Maintenance Engineers test AEDs with the "DFS200 field tester" and "exclusive APP" on-site. Furthermore, the test data will upload to the AED intelligent management system-AIMS; managers of the devices can send work orders to maintenance engineers directly. It supports managers to understand all installed AEDs and fulfill the AED after-sales intelligent management effectively.



AIMS Module Description


AIMS-AED intelligent management system




Testing Information • Use the indicator light to display the alarm status of the device, including operating status, device data and monitoring records
Work Order Management

Five major types of work orders:
Installation, alarm, maintenance, training, and other orders
• View the content and status of each work order
• Email notification of real-time work order status

Basic Data Management • Adopt progressive hierarchical management for AED, set all brand types and sales information
Inspection Report Management • The interface has modification, submission, sign-off, and transmission, and viewed inspection details.
Statistical Analysis • Sales analysis and recent work order operation analysis
My Message • List complete work order information
APP Features Device Management • List complete devices, display device status through different indicators
Order Management

• Arrange the route of the work order to be processed
• View the content and details of the work order
• Upload on-site photo records
• After the work order is confirmed, sign and archive records

Manual Testing • Set the test signal output and pass-criteria
• Display the test results and output waveform from AED
Battery Testing • AED remaining battery power test
• Data record as long-term trend observation


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