IoT Platform

ZedIoT IoT Cloud Platform

An IoT platform for device access, remote monitoring, alarms, work orders, data analysis, and AIoT application development. It supports source-code delivery, private deployment, multi-protocol access, and industry-specific customization.

Source-code deliveryPrivate deploymentMulti-protocol device access
ZedIoT IoT platform interface
Product Context

An IoT platform base for enterprise device operations and customization

ZedIoT covers device access, product modeling, data collection, remote control, alerts, work orders, visualization, permissions, APIs, and AI extensions. It is a practical base for customers that need private deployment, compliance control, industry workflows, or source-code delivery.

  • Device maker cloud platforms
  • Industrial equipment remote service
  • Multi-site equipment operations
  • AIoT business system foundation
IoT Device access and monitoring
AIoT AI and workflow extension
Private Enterprise deployment model
IoT operations center reviewing device management dashboards ZedIoT Platform
Private IoT Platform

ZedIoT turns device data into an operable business system

The hard part of IoT platforms is long-term maintainability: device model, permissions, alarms, work orders, reports, APIs, and industry workflows. ZedIoT is designed for source delivery, private deployment, and deep customization.

  • Device access, product model, alarms, work orders, and reports
  • Private cloud, local server, or customer operations environment
  • Extendable business modules and API integration
Deployment View

What this product looks like in a real workflow

Private IoT platform server room deployment ZedIoT Platform

Device operations center

Manage products, devices, attributes, events, alarms, and reports in one operations platform.

Device modelReal-time monitoringAlarm workflow
ZedIoT platform dashboard for device map, alarms, and equipment status

AIoT application base

Connect AI recognition, edge gateways, and automation workflows to turn device records into operating actions.

AI recognitionEdge computingAPI integration
Platform Operating Model

Design the platform around device model, permissions, data flow, and operations

ZedIoT is not only a dashboard. It is a private IoT platform foundation for companies that need to operate devices, sites, users, alerts, work orders, APIs, and AI extensions under their own business rules.

Permission scope

Separate roles by organization, site, device group, command ability, data export, and alarm visibility.

Deployment ownership

Plan environment, source delivery, monitoring, backup, logs, and release responsibility before rollout.

Data readiness

Keep telemetry, events, alarms, work orders, and device metadata structured for reporting and AI use.

01

Device and protocol access

Connect equipment through MQTT, HTTP, gateways, serial adapters, Modbus, and project-specific protocols.

MQTT / HTTPGateway accessProtocol mapping
02

Product and device model

Model product templates, device properties, events, services, commands, firmware versions, and site grouping.

Product modelDevice lifecycleSite hierarchy
03

Rules, alarms, and work orders

Turn data into operations through alert rules, escalation, remote control, task assignment, reports, and audit records.

Alarm rulesWork ordersRemote control
04

API, AI, and business extensions

Expose APIs and data services for AI workflows, BI dashboards, customer portals, and industry applications.

Open APIAI workflowBusiness modules
Core Capabilities

Product capabilities that matter in deployment

Each capability is designed around real operating conditions, not isolated hardware parameters.

Device access and product model

Model products, devices, properties, events, and services across different device types.

Data collection and analysis

Use device data for monitoring, history, alarms, reports, and business analysis.

Private deployment and permissions

Support private cloud, local server, hybrid deployment, and role-based access.

AIoT extensions

Add LLM assistants, vision recognition, edge computing, and automation workflows.

Selection Guidance

Use ZedIoT when device operations need ownership, not just a hosted dashboard

A private IoT platform makes sense when device data, permissions, workflow, integration, and long-term source ownership affect the business outcome. Smaller pilots can still start with a lighter hosted system and move to ZedIoT when the operating model becomes clear.

A lightweight SaaS may be enough when

The device fleet is small

You only need a simple hosted dashboard for a limited number of standard devices.

No source ownership is required

The business can accept fixed SaaS features, shared infrastructure, and limited customization.

Operations are still experimental

The team has not yet defined roles, alarm handling, service workflow, or integration needs.

ZedIoT is a better fit when

Device operations are core to the business

You need product models, device groups, permissions, alarms, work orders, reports, and lifecycle ownership.

Private deployment is required

Data, compliance, customer contracts, latency, or infrastructure policy require a customer-controlled environment.

AIoT depends on trusted data

AI assistants, anomaly detection, and workflow automation need stable device records and clear operational context.

System Architecture

From field data to a managed product workflow

01

Device access layer

Connect devices through MQTT, HTTP, gateways, serial converters, or industry protocols.

02

Data and rules layer

Handle device models, storage, rules, alarms, and metrics.

03

Business application layer

Provide monitoring, work orders, reports, assets, remote control, and industry modules.

04

AIoT capability layer

Integrate AI recognition, anomaly analysis, assistants, and automation.

Product Details

Product configuration, capabilities, and deployment details

These sections collect the practical information customers need for selection, integration, installation planning, and rollout evaluation.

Platform Capability Notes

ZedIoT supports device access, remote control, data analysis, visual dashboards, rules, device linkage, edge computing, and AI analysis. It can be delivered as a source-code project with public cloud, private cloud, or edge deployment options.

Source-code deliveryPrivate deploymentRules engineVisual dashboardAI data analysis
ZedIoT device dashboard and map interface

Core Platform Capabilities

Device access and management

Model products, connect devices, monitor status, parse data, control remotely, and manage the full device lifecycle.

Data analysis and visualization

Support real-time dashboards, history, reports, large-screen visualization, and data asset accumulation.

Rules and alarms

Turn device data into operations through rules, linkage, exception alerts, and service workflows.

AIoT extension

Add AI analysis, device health, predictive maintenance, and industry-specific algorithms.

Device Model and Permission Structure

A private IoT platform must define ownership before dashboards: products, device groups, organizations, roles, data scope, command permissions, alarm visibility, and audit records.

Tenant modelRole-based accessDevice scopeAudit trail
Product model

Define properties, events, services, commands, firmware versions, and device templates for each device family.

Organization and role model

Separate manufacturer, distributor, site operator, service engineer, and customer access by real operating responsibility.

Device-scope permission

Control who can view, configure, operate, export, or receive alerts for specific devices, sites, and customer accounts.

Audit-ready operations

Keep command records, alarm handling, work orders, login history, and release notes visible for service accountability.

Private Deployment and Integration Boundary

ZedIoT is suitable when the customer needs source-code ownership, controlled infrastructure, API integration, or industry modules that cannot be handled by a standard hosted dashboard.

Private cloudAPI boundaryDeployment handoffOperations plan
Infrastructure Customer cloud / private cloud / local server Selected by security, latency, data retention, and operations capability.
Integration REST API / MQTT / database / business systems Connect device operations with ERP, WMS, service desks, AI workflows, or BI platforms.
Operations Monitoring / backup / logs / release process Platform delivery should include the operating model, not only source code.
Extension Industry modules / AI / edge gateway Add business modules after the data model and permission model are stable.
Use Scenarios

Where ZedIoT becomes the operating base, not just another dashboard

Platform selection should start from ownership: who operates the devices, who receives alarms, what system needs the data, and which workflows must survive after deployment.

01

Industrial remote service

Device makers can monitor customer-site equipment health and faults remotely.

02

Multi-site equipment supervision

Manage refrigeration, commercial equipment, and sensors by store and region.

03

Device data assets

Turn runtime records into searchable, analyzable operational data.

04

AIoT intelligent applications

Build assistants, predictive maintenance, and recognition workflows on top of device data.

Specifications

Define the operating model before finalizing deployment

These items help teams scope source delivery, private deployment, permissions, protocols, API integration, and long-term platform operations.

Deployment Public cloud / private cloud / local server Chosen by data security, operations capability, and scale.
Delivery Source-code / customized delivery For teams that need long-term ownership and extension.
Device model Properties / events / services Supports standard models and industry-specific extension.
Protocols MQTT / HTTP / gateway protocols Can extend Modbus, serial, and private protocols.
Business modules Monitoring / alarms / work orders / reports Covers core device operations workflows.
Extension API / AI / data platform Connects to customer systems and AI applications.
Delivery

How we turn this into a deployable product

Business and device model design

Define products, properties, events, control services, and operating workflows.

Architecture and deployment design

Plan private deployment, database, messaging, permissions, monitoring, and operations.

Business module development

Build monitoring, alarms, work orders, reports, mobile workflows, and integrations.

Launch and operations handoff

Deliver deployment, permissions, training, documents, and iteration process.

Next Steps

Choose the next path around devices, services, and platform planning

These links help visitors move from a platform decision into concrete edge devices, development services, and planning content without burying the page in stacked link blocks.

FAQ

Questions that affect platform scope

Answering these early usually prevents wrong architecture, unclear permission boundaries, and expensive rework after the pilot.

Can ZedIoT be delivered with source code?

Yes. The delivery scope, licensing model, and secondary-development boundary should be defined in the project contract.

Can it run on the customer's own server?

Yes. Private cloud, local server, or hybrid deployment can be designed based on scale and operations capability.

Can it connect to existing equipment protocols?

Yes. Gateways, protocol adapters, or platform plugins can map device protocols into the platform model.

Talk to ZedIoT

Plan your private IoT platform deployment with ZedIoT

Tell us your device types, deployment preference, expected fleet scale, permission model, integration needs, and the platform workflow you want to support.

  • AI + IoT product architecture review
  • Hardware, firmware, cloud, and application integration
  • Prototype planning and production support