Make machine and equipment data useful on the shop floor
Most factories already produce machine data; it is just not used. Blocvibe builds Industrial IoT software that collects equipment data, highlights downtime and unusual readings, and presents them to the people who can act.
- Python
- Time-series databases
- REST APIs
- TypeScript
- React
The service
What is industrial IoT?
Industrial IoT (IIoT) is the use of connected sensors and machine data in factories, plants and other industrial settings. Blocvibe builds the software that collects that data and turns it into downtime visibility, condition monitoring and alerts for maintenance and production teams.
Who it is for
- Manufacturers that learn about downtime late
- Maintenance teams relying on manual rounds and experience
- Plants whose machine data sits unused in controllers and isolated systems
When to consider it
- Downtime is reported after a shift instead of as it happens
- Early signs such as rising temperature or vibration are missed
- Shift handovers depend on notes and memory
The challenge
The business problem
Downtime is often discovered late, and valuable machine data sits unused in controllers and isolated systems. Maintenance teams rely on manual checks and experience, which makes early signs of problems easy to miss.
- Machine data is locked in PLCs, SCADA and vendor systems
- Older machines have no sensors or connectivity
- Alerts that fire too often are ignored
- Software must inform people without interfering with control or safety systems
Our capabilities
How we help
Connect equipment data
We collect data from machines and sensors, working with partners for PLC and SCADA connectivity where needed.
Highlight what matters
Downtime, readings above limits and unusual trends are flagged with clear explanations.
Support decisions, not control
The software informs people; it does not control machines or replace safety systems.
How it works
How machine data reaches the maintenance team
Machines
- PLCs and existing controllers
- Added sensors where needed
- Hardware fitted by partners
Connectivity
- Read-only data connection
- Gateway on site
- Buffering during outages
Data and rules
- Time-series storage
- A normal range for each machine
- Downtime and limit checks
People
- Plain-language alerts
- Downtime and condition views
- Shift reports
Example workflow
Vibration monitoring on critical motors
Step 1: Vibration sensors are fitted to critical motors by a qualified partner, if not already present.
Step 2: Readings are collected and stored with the machine and timestamp.
Step 3: Each motor’s recent vibration is compared with its own normal range.
Step 4: When vibration rises well above normal, maintenance receives a plain-language alert.
Step 5: The team inspects the motor and records what they found, which improves future alerts.
Limits to keep in mind
Typical use cases
- Downtime visibility for production lines
- Condition monitoring on motors and pumps
- Temperature and vibration threshold alerts
- Shift reports for maintenance and production
What you receive
- Data source and connectivity assessment
- Data collection and storage
- Monitoring dashboard and alert rules
- Shift and downtime reports
- Documentation of limits and dependencies
Technologies and integrations
- Python
- Time-series databases
- REST APIs
- TypeScript
- React
Industry applications
Where industrial IoT helps
Practical examples of how this service applies in different sectors.
Manufacturing and Industrial Operations
- The challenge
- Line stoppages are only recorded at the end of a shift, so their causes are hard to trace.
- The solution
- Downtime visibility that records when each machine stops and why.
- How it works
- Machine states are read as they change, stoppages are logged with a time and a reason entered by the operator, and supervisors see the current status and the shift’s downtime.
- The benefit
- Downtime is visible as it happens, and recurring causes can be found in the record.
- Python
- Time-series databases
- React
Energy and Smart Buildings
- The challenge
- Pumps, fans and chillers in plant rooms are checked on manual rounds.
- The solution
- Condition monitoring with temperature and vibration thresholds for each asset.
- How it works
- Readings from each asset are compared with its normal range, and maintenance gets a plain-language alert when a reading moves well outside it.
- The benefit
- Unusual readings are flagged between rounds, so checks can focus on the assets that need them.
- Python
- Time-series databases
- REST APIs
Food and drink production
- The challenge
- Temperatures in cold rooms and process steps are logged by hand at intervals.
- The solution
- Continuous temperature monitoring with threshold alerts and stored records.
- How it works
- Sensors report temperatures continuously, readings are stored with their time and location, and staff are alerted when a reading goes outside its limits.
- The benefit
- A continuous record instead of occasional manual checks, and earlier warning when a limit is crossed.
- Python
- Time-series databases
- TypeScript
Business value
What it changes for your business
Downtime as it happens
Stoppages are visible during the shift, not discovered at the end of it.
Earlier warning signs
Readings that drift from a machine’s normal range are flagged with a plain-language reason.
Better handovers
Shift reports and event logs give the next team the same picture as the last.
No interference with control
The software reads data to inform people; machine control and safety systems stay as they are.
Our development process
How the project runs
Step 1: Discover
We learn how your business works today, what is not working and what success should look like.
Step 2: Define
We agree on a written scope, priorities, estimate and timeline before any development begins.
Step 3: Design and build
The solution is designed and built in short cycles, with working software to review along the way.
Step 4: Validate
We test with your team and real or representative data, and fix what needs fixing before launch.
Step 5: Deploy
The solution goes live in your environment with documentation and a handover for your team.
Step 6: Support and improve
We monitor, maintain and improve the solution as your business and its users’ needs change.
Why Blocvibe
Why choose Blocvibe
The right technology should simplify work, solve meaningful problems and leave room to grow. We focus on practical solutions shaped around your goals.
Business-first thinking
Every project starts with the problem that needs solving, not the technology that happens to be trending. We map how work really moves through your team, exceptions included, before deciding what to build.
Purposeful engineering
Tools and architecture chosen for your requirements, maintainability and long-term value.
Connected digital experiences
Software, AI, mobile apps and connected devices brought together where they genuinely help.
Quality at every stage
Usability, responsiveness, accessibility and testing get attention throughout development, not just at the end.
Frequently asked questions
Is this predictive maintenance?
Not by default. We start with condition monitoring, which flags unusual readings against limits and trends. Predictive models may be possible later, once enough quality data has been collected.
Can you connect to our PLCs or SCADA system?
PLC and SCADA connectivity is delivered with qualified industrial partners. Blocvibe builds the software that stores, analyzes and presents the data.
Does the software control our machines?
No. The software reads and presents data to support decisions. It does not send control commands and is not a safety system.
What if our machines are not connected?
Retrofit sensors can often be added to older equipment. A connectivity assessment identifies what is practical for each machine.
Can sensors be added to older machines?
Often, yes. Where a machine has no usable data, sensors for measures such as temperature, vibration or power use can be added. Selection and installation are handled by qualified partners.
Discuss your industrial IoT project
Share what you want to build or improve. We’ll reply by email and suggest a practical first step.