Turn machine data into earlier, better-informed decisions
Manufacturers already generate large amounts of machine data, but much of it never leaves the controller. Software can bring that data together so production and maintenance teams see problems sooner.
- Python
- Time-series databases
- React
- Sensor data ingestion
- REST APIs
- Message queues
Industry overview
Software for manufacturing and industrial operations
Most factories already produce the data they need to run better. Controllers record when machines run and stop, sensors measure temperature and vibration, and operators know why a line paused. The trouble is that this information stays in controllers, on paper and in people’s heads, so it reaches the people making decisions late, if at all.
Blocvibe builds the software layer that collects that data, gives it context and puts it in front of the people who can act on it: supervisors running a shift, maintenance teams planning their week and managers reviewing performance. We work with your existing equipment and systems rather than replacing them.
Hardware work, such as PLC connections, SCADA integration and sensor installation, is carried out with qualified industrial partners. The software reads data. It does not control machines and is not a safety system.
Where software helps
- Seeing stoppages as they happen, with a reason recorded for each
- Spotting equipment that is drifting outside its normal range
- Replacing hand-built shift and downtime reports
- Sending shop-floor data to ERP and maintenance systems
What it needs
- Read access to machine controllers, or sensors where none exist
- Network coverage on the shop floor, or a gateway that holds data
- Agreed reason codes and limits for each machine
- A named owner in production or maintenance for the first area
Challenges and business problems
Common challenges
Downtime is found out late, and machine data sits unused in controllers. Not every business faces all of these, but most will recognise at least one.
Late downtime detection
Stoppages are often noticed only when someone walks past the machine or output falls short.
Unused machine data
PLCs and sensors record useful data that is never collected or analysed.
Manual reporting
Shift and downtime reports are assembled by hand from notes and spreadsheets.
Reactive maintenance
Maintenance is triggered by breakdowns instead of early warning signs.
Our solutions and capabilities
Where software, AI and IoT can help
Collect equipment data and present downtime and unusual readings to the people who can act.
Software and integration
- Downtime logging and reason codes
- Shift handover and reporting tools
- Integration with ERP or maintenance systems
AI applications
- Plain-language summaries of shift events
- Anomaly detection on equipment readings
- Search across maintenance manuals
IoT capabilities
- Machine status and runtime collection
- Temperature and vibration monitoring
- Threshold alerts for maintenance teams
How it fits together
How shop-floor data reaches the people who act on it
A conceptual view of a typical first system. Each stage can start with one line and grow from there.
Stage 1 of 4
Machines
We list what each machine can already report and where a sensor would fill a gap. Partners fit any hardware, and nothing changes in the control logic.
- Existing controllers
- Added sensors where needed
- Operator reason entry
Real-world use cases
How it can work in practice
Each example shows the problem, the solution, how it works, the technologies involved and the value it brings.
- Illustration
Live downtime tracking on a production line
- The problem
- Stoppages are written down at the end of a shift, often without a cause, so the same problems come back week after week.
- The solution
- A downtime system that records when each machine stops and asks the operator for a reason while the event is still fresh.
- How it works
- Machine states are read from the controllers as they change. When a stop lasts longer than an agreed time, the operator panel asks for a reason code, and supervisors see live status and the shift’s downtime by cause.
- Technologies
- Python
- Time-series databases
- React
- The value
- Downtime is visible during the shift, and the weekly review starts from recorded causes instead of recollection.
- Illustration
Condition monitoring on critical motors
- The problem
- Motor and gearbox failures arrive without warning and stop the line for unplanned repairs.
- The solution
- Vibration and temperature monitoring that compares each motor with its own normal behaviour.
- How it works
- Sensors fitted by a qualified partner report through a gateway. The platform learns each motor’s normal range, flags readings that drift upward and sends maintenance an alert showing the trend behind it.
- Technologies
- Sensor data ingestion
- Time-series databases
- React
- The value
- Maintenance can plan an inspection around production instead of reacting to a breakdown.
- Illustration
Production figures sent to the ERP
- The problem
- Output and downtime figures are typed into the ERP by hand at the end of each shift, and mistakes surface in month-end reports.
- The solution
- An integration that sends recorded production counts and downtime to the ERP automatically.
- How it works
- At the end of each shift, counts and downtime events are taken from the platform, matched to the order they belong to and posted to the ERP through its API. Failed posts are retried and logged for someone to check.
- Technologies
- REST APIs
- Message queues
- Python
- The value
- The ERP reflects what the shop floor recorded, without a second round of typing.
Technologies and integrations
Technologies and integrations for manufacturing
The software side of a connected factory, chosen for reliability on the shop floor and clarity for the people using the screens.
Shop-floor data
- PythonGateway services that read machine states and sensor values.
- Time-series databasesReadings stored by machine and time, ready for trends and limits.
- Message queuesReadings kept in order between the gateway and the platform.
Screens and reports
- ReactLine status boards that update as readings arrive.
- Next.jsDashboards and reports in any browser, on the floor or in the office.
- TypeScriptTyped code, so changes to rules and screens stay safe.
Connections and AI
- REST APIsLinks to ERP and maintenance systems that offer an API.
- LLM APIsShift summaries and manual search, checked by a person.
Systems it can connect to
- ERP and production planning systems
- Maintenance management systems
- PLCs and SCADA, through qualified partners
- Existing spreadsheets during the changeover
Logos are trademarks of their owners and show tools we work with, not partnerships. Connections depend on each system offering data access or an API. Controller and device protocols are handled with qualified partners.
Our development approach
A practical way to start
Start small, prove the value with one team or area, then extend what works.
Step 1: Discover
List the lines and machines that matter most, and pick one area to start with.
Step 2: Plan
Assess which data is already available and what needs sensors.
Step 3: Build a first version
Build a focused dashboard and alerts for that area.
Step 4: Review and extend
Review results with the team, then extend to more equipment.
What the solution depends on
Benefits and business value
What it changes for your team
Earlier visibility
Stoppages and unusual readings show up during the shift, while there is still time to respond.
Maintenance with warning
Trends in vibration and temperature give maintenance a reason to inspect before a failure.
Reports from the record
Shift and downtime reports are produced from recorded data instead of rebuilt by hand.
Room to grow
Start with one line or a few machines, then add equipment and sites on the same platform.
Related services
The services behind these solutions
- Industrial IoTMachine and equipment data made useful for maintenance and production teams.
- IoT Monitoring DashboardsDashboards and alerts that answer the questions your team actually asks.
- System Integration and Product EngineeringConnecting your systems, and testing new ideas with focused proofs of concept.
Other industries
Questions
Frequently asked questions
Straight answers to the questions teams in this industry ask before starting.
Do we have to replace our machines or controllers?
No. Most projects read data from the controllers you already have. Where a machine cannot report what you need, a sensor can usually be added. A qualified partner confirms what each machine supports before any work starts.
Will the software control our equipment?
No. It reads machine states and sensor values and presents them to people. It does not change control logic or settings, and it is not a safety system. Decisions and actions stay with your team.
Who connects PLCs, SCADA and new sensors?
Hardware and controller work is done by qualified industrial partners, and we coordinate with them. Blocvibe builds the software: data collection, storage, rules, dashboards, alerts and integrations.
What happens if the shop-floor network drops?
A gateway on site can hold readings and send them when the connection returns, so short outages do not leave gaps. Network coverage is checked during discovery, because it shapes how data is collected.
Can production data reach our ERP?
Usually, if the ERP offers an API or a reliable import. We confirm what it allows before planning the connection, and start with the figures that are typed in by hand most often.
Planning to put your machine data to work?
Tell us about your lines, equipment and the decision you want better data for. We’ll reply by email and suggest a practical first area.