Remote Service and Monitoring for Industrial Systems
A New Approach to Visual Remote Monitoring, Live Diagnostics, and AI-Supported Maintenance
Preventive Intelligence.
Real Impact.
Real Impact.
The GG4Mo monitoring system is an innovative software and technology solution that, with AI support, makes the operation and maintenance of any industrial system safer and more cost- and time-efficient. On-site technicians (operators and facility technicians) as well as external service technicians can be deployed more efficiently. Another advantage: overall system operation becomes even more reliable.
The GG4Mo monitoring system increases cost and workforce efficiency in the service of any large commercial and industrial installation, as it helps avoid unnecessary and expensive service technician deployments. Systems equipped with GG4Mo can detect potential failures in advance and prevent downtime.
GG4Mo complements existing remote monitoring systems (e.g. in heating or refrigeration systems) and enables additional efficiency gains in the service and maintenance of industrial installations. GG4Mo allows the manufacturer’s service technician—working remotely from their office—to establish a direct, independent live video and audio connection in collaboration with the on-site facility team, enabling them to assess the situation on-site with their own eyes.
With GG4Mo, exposed components of a system can be inspected in real time. The system also enables image transmission from hard-to-reach areas, such as components located at heights of up to six meters. GG4Mo enables the transmission of live video, audio, photos, and thermal images for detecting and analyzing the current machine status, including potential leaks or unwanted heat development. In installations with permanent remote monitoring, combining this visual input with existing system data provides the service technician with a complete picture, allowing them to make informed decisions about the necessary actions remotely.
Wherever large, complex systems are in operation that require continuous monitoring to ensure safe long-term performance—and where failures can result in high service costs or significant consequential damage due to production downtime or spoiled goods. GG4Mo does not replace existing remote monitoring systems but enhances them with live video and audio, enabling direct communication between on-site facility teams and external service technicians.
EXAMPLES:
Large commercial or industrial refrigeration systems, both for process cooling and standard or deep-freeze applications, as well as large-scale air conditioning systems. GG4Mo is robust and designed for temporary use in extreme environmental conditions (down to -20°C).
- Food industry
- Dairies & cheese production
- Breweries & malt houses
- Food production
- Food storage and logistics
- Large-scale bakeries
• Chemical and pharmaceutical industry
• Plastics industry
• Data centers
• Heating systems, such as combined heat and power plants, local and district heating systems
• Solar installations, such as large commercial systems
• Swimming pool facilities, e.g. public indoor and outdoor pools
• Cable cars
• Maritime industry
One key objective of using GG4Mo is to enable the on-site technician to receive well-founded and clear instructions in the event of a fault through a direct audio and video connection with a remote service technician. This significantly reduces long, costly travel times and emergency service expenses to an absolute minimum. Personnel on both the customer and service sides can be deployed more efficiently and in a more targeted manner.
Here are three examples from refrigeration technology where the need for external service technicians can be eliminated:
- The issue is not refrigeration-specific but a general technical problem. Dispatching a refrigeration specialist would not be justified, yet it is often initiated. With GG4Mo, the issue can be resolved by the on-site technician under the guidance of a remote service technician. This avoids unnecessary and costly service trips (e.g. incorrect switch settings, blown fuses, etc.).
- The issue is refrigeration-related, but the involvement of a refrigeration specialist is not strictly necessary. With GG4Mo and guidance from a remote service technician, the on-site technician can resolve the problem. Again, unnecessary service trips can be avoided (e.g. initiating defrosting, monitoring and adjusting valves, cleaning tasks, etc.).
- Site-specific service routines (e.g. regular photographic documentation of key components), carried out by the on-site technician and reviewed remotely by the service technician, make it possible to detect emerging issues (such as icing) at an early stage. Through remote intervention initiated by the service technician, the on-site technician can immediately take corrective action.
AI support for analysis and diagnostics:
In all cases, the service technician is supported by an AI specifically trained for the respective site and its systems. Through clearly defined and automated routines, the AI can detect early signs of potential issues (e.g. icing in non-visible areas), automatically trigger alerts, and enable immediate countermeasures—preventing faults before they occur.
Industrial service is time- and labor-intensive and therefore expensive.
Complex systems require highly qualified specialists. Unclear fault reports, long travel times, and unnecessary service visits lead to high costs, downtime, and tie up valuable expert resources. At the same time, the shortage of skilled workers further exacerbates the situation.
How does the deployment of GG4Mo work?
How does the deployment of GG4Mo work?
Step 1 – On site
Use of the GG4Mo service kit. The on-site technician captures the relevant components of the system directly using the GG4Mo 360° camera. Even hard-to-reach parts of the installation at heights of up to 6 meters can be recorded with GG4Mo technology, and the live footage is transmitted to the external service technician.
Step 2 – Remote
Remote analysis of the situation at the system. The external service technician analyzes the images live from their office. The expert sees real machine details in real time, hears the sounds of the system, and thus gains a complete overview of the current situation.
Step 3 – Decision
The service technician can guide the on-site technician in a targeted manner to resolve the issue. Many cases can be handled directly this way, saving both time and costs on both sides. A site visit by the external service technician becomes unnecessary, and the fault is resolved more quickly. Only in genuine emergencies is an on-site visit required.
Fewer failures. Fewer service trips. Greater efficiency.
- The on-site technical team can quickly connect the service technician remotely with visual access to all parts of the system for diagnostics
- Faster and more reliable analysis in case of faults, irregularities, or unclear machine conditions
- Supports predictive maintenance (GG4Mo Predictive Routine)
- Reduces hesitation or uncertainty when handling complex technology
- Improved maintenance extends the lifespan of the equipment
- Improved maintenance enables more efficient long-term operation (energy costs)
- Reduced service costs
- Enhances the on-site team’s ability to intervene through targeted guidance
- On-site technicians can act with greater confidence and expertise
- Safer operation
- Shorter service times
- Audio-visual elements are added to existing remote monitoring data
- The system technician can gain an overview remotely from the office
- Faster, including visual, situational awareness in the event of a fault
- Earlier insights (predictive) through new on-site routines for the technical team
- Earlier response capabilities before major issues arise
- Creates additional capacity for service staff (skills shortage)
- Reduced staffing requirements (skills shortage)
- Reduced travel times
- Avoids unnecessary service trips
- Better utilization of the service team through meaningful tasks
What components does GG4Mo consist of?
The GG4Mo monitoring system consists of a service kit equipped with communication technology that establishes a fully independent and secure connection—separate from other data streams—between the on-site technical team and the service technician.
- Smartphone with Thermal Imaging Camera
- 360° camera
- Router (separate secure network)
- Power bank
- Head-Set
- Telescopic pole (up to 6 m)
Using a smartphone, a 360° camera, and extendable poles, even hard-to-reach system components at heights of up to six meters can be accessed quickly and easily (no ladders or scaffolding required) and made visible to the remote service technician via live video. All components are highly robust and designed for use in extreme conditions (temperatures down to -20°C).
In collaboration between the on-site technical team and the service technician. In the event of a fault, the on-site technician uses the GG4Mo service kit to go directly to the system or individual components and stream the issue live to the remote service technician, enabling immediate discussion of solutions.
The service technician has access within the GG4Mo IT platform to an AI trained specifically for the individual site. Based on the stored library (operating manuals, warnings, system designs, equipment lists, schematics, etc.), it supports analysis and diagnostics. The AI does not generate “creative solutions,” but instead enables much faster access to system-specific information, allowing the technician to diagnose issues more quickly and define appropriate corrective actions in a targeted manner.
In addition, data provided in parallel by existing remote monitoring systems further enhances the technician’s ability to analyze and resolve problems. The service technician’s role is clear: Where is the problem? How can it be resolved? Who should resolve it?
In genuine emergencies, the technician travels to the site. Otherwise, they can directly guide the on-site technical team to resolve the issue themselves.
The on-site technician also has access to an AI-supported personal assistant via the GG4Mo smartphone. Here too, the assistant does not generate “creative solutions,” but facilitates access to stored system information. In case of doubt, responsibility is always escalated to the external service technician.
Another separate component of GG4Mo is the creation of a virtual operating manual. When a new system is commissioned, a virtual manual is provided that captures the operation of the system in its full real-world context. Key switching and control elements are explained, and users can access detailed documentation for individual components directly from specific points within the system.
This can be delivered through image- or video-based guidance on a PC or directly on-site using a VR headset. In addition, typical fault scenarios are simulated and explained, along with guided instructions for resolving them in a timely manner (e.g. for refrigeration systems: icing patterns, resetting switches and fuses, restarting the system, monitoring pressure gauges, sight glasses, condenser functions, etc.).
Secure communication. Location-bound data.
GG4Mo operates via its own independent Wi-Fi network. Through geofencing, usage is restricted to the specific site. The AI is trained for each location and accesses only local, protected data.
How secure is GG4Mo?
The router provided in the service kit (as well as the smartphone) creates a fully independent and secure Wi-Fi network for use anywhere at the system. All communication between the on-site technical team and the external service technician runs through this channel. At no point is access to the customer’s internal Wi-Fi network required.
The GG4Mo smartphone is restricted to operation at the specific site. This means that if the device is removed from the location, it will no longer function—making theft pointless.
The AI is trained individually for each specific site. It is fed with site-relevant technical data, operating manuals, documentation, service reports, and experience-based knowledge, which are used exclusively for AI analysis at that particular location. The data is stored on secure servers owned by the service provider or plant manufacturer. Use of this data outside the system (e.g., with ChatGPT or similar platforms) is excluded.
Both the external service technician and the on-site technician receive tailored support for fault analysis and resolution, aligned with their respective roles.
There is a dedicated AI assistant for the service technician and a separate AI assistant for the on-site technician.
Industrial technical service, redefined
Industrial technical service, redefined