About qKnow

Enterprise AI Agent Platform and Industry AI Solution Provider

Combining knowledge graphs, knowledge-base RAG, and Bot orchestration to help enterprises make AI understand knowledge, enter real operations, and create value.

About qKnow

An AI capability platform for deep industry scenarios that brings AI into real business operations.

Knowledge Retention and Management

qKnow unifies enterprise documents, policies, cases, and business data, using knowledge graphs and RAG to create traceable, reusable knowledge assets.

Application Delivery and Industry Solution

The Application Center delivers reusable general and industry-specific applications for knowledge Q&A, intelligent retrieval, and other common needs, while supporting deeply customized AI solutions for industry operations, decisions, and processes—moving AI from demonstration to production.

RAG and Knowledge Hub

Built around a complete “retain, build, apply, deliver” architecture, qKnow uses knowledge graphs and knowledge-base RAG to manage enterprise knowledge and support deployable, continuously evolving AI solutions.

Bot Building and Development

Provide both visual orchestration and developer-led building across Workflow, Chatflow, and Agent patterns. Business users can quickly configure standardized scenarios, while developers can deeply customize agents for complex operations.

Knowledge Understanding and AI Delivery

Combine foundation models, RAG, and the knowledge hub to connect knowledge storage with application, enabling AI to understand proprietary business knowledge and convert it into intelligent capabilities.

Integration and Extensibility

Integrate with existing enterprise systems and processes, support rapid go-live and complex scenario adaptation, and balance usability with extensibility across different business levels.

Composable Capability System

Knowledge, Bot, application, and solution capabilities can be used independently or flexibly combined, evolving with the business across every stage of enterprise AI adoption.

Integrated Intelligent Ecosystem

Build a governable, evolvable, production-ready AI system that enables knowledge understanding, business empowerment, and long-term intelligent capability retention.

Qiantong Technology

Connecting perception, data, knowledge, and decisions to deliver deep industry intelligence.

Founded in 2018, Jiangsu Qiantong Technology Co., Ltd. builds intelligent platforms that connect perception, data, knowledge, and decisions, providing a reliable long-term technology foundation for digital and intelligent transformation across government, enterprise, and industry.

Guided by platform engineering and long-term evolution, the company has built an intelligent platform suite spanning IoT, data platforms, knowledge platforms, model platforms, data labeling, and LLM development, supporting the full journey from data collection to intelligent decisions.

The company is headquartered in Jingang Science and Technology Innovation Park, Qixia District, Nanjing, with an R&D center in the National University Science Park, Zhengzhou High-tech Zone. It continuously advances core technology R&D and product development.

Honors and Certifications

Recognized by leading industry organizations, earning customer trust through strong technology and service.

4 patents · 35 copyrights

15 years of independent R&D

High-Tech Enterprise

ISO Information Security

ISO IT Service Management

Domestic Tech Certification

Domestic Tech & Security

Dual ISO protects knowledge and data.

AAA Credit Rating

Tech SME

Software Certification

ISO Three-System Certification

Domestic Tech & Ecosystem

Domestic-tech compatible,
recognized by industry and OSS.

City Star Enterprise List

Data Standards Committee
Member

GVP—Gitee Most Valuable Open-source Project

AtomGit G-Star
Influential OSS Project

Contact Us

Consultation Hotline

400-660-8208

Business Cooperation

sales@qiantong.tech

Nanjing Headquarters

6th Floor, Building 1, Phase II, Nanjing Jingang Science and Technology Innovation Park, Qixia District, Nanjing, Jiangsu

Zhengzhou R&D Center

Building 1, National University Science Park, No. 11 Changchun Road, Zhengzhou High-tech Zone, Henan

Xinjiang Branch

Building 1, Qinjun, No. 499 Weixing Road, Economic and Technological Development Zone (Toutunhe District), Urumqi, Xinjiang

Map showing qKnow locations in Nanjing, Zhengzhou, and Xinjiang

Xinjiang Branch

Zhengzhou R&D Center

Nanjing Headquarters

Pump Station Fault Diagnosis and Predictive Maintenance Solution

An intelligent diagnosis and predictive maintenance platform for water conservancy pump stations, powered by IoT,
data, models, and knowledge agents to transform pump station maintenance from
reactive repair to proactive prevention.

Book a Demo Get Materials

Industry Challenges

Four gaps limit smarter pump maintenance: visibility, diagnosis, health assessment, and closed-loop action.

Late Fault Detection

Status data for critical equipment is scattered across onsite systems and manual inspections. Problems are often detected only after they worsen, threatening safe operation.

Experience-Based Diagnosis

Fault diagnosis relies on individual experience rather than shared models and knowledge. Expertise is hard to retain, slowing onboarding and diagnosis in complex cases.

Limited Health Metrics

Maintenance reacts to alarms, with little insight into health, degradation, or remaining life. Teams cannot prioritize work or plan repairs and spare parts with confidence.

Disconnected Maintenance

Monitoring data, inspections, work orders, fault cases, and expertise remain siloed. Alerts lack clear causes, recommended actions, and lessons for future decisions.

Solution Architecture

Build an end-to-end predictive maintenance capability system for pump stations centered on IoT access, data governance, model diagnosis, and knowledge agents.

Product Capabilities

Four platforms unify equipment, data, diagnosis, knowledge, and maintenance.

Equipment Access and Operational Monitoring

Provide unified access, condition collection, and connection management for onsite pump station equipment, sensors, control systems, and edge terminals, opening data channels for pumps, motors, bearings, valves, and other critical equipment with a stable real-time sensing foundation.

Free Trial

Data Governance and Trusted Foundation

Aggregate pump station operating data, equipment registers, inspection records, maintenance work orders, and historical fault data. Clean, standardize, validate, and manage these assets to resolve fragmentation, inconsistent definitions, and unstable quality, creating a trusted foundation for model diagnosis and intelligent applications.

Free Trial

Intelligent Diagnosis and Risk Prediction

Support the access, testing, release, monitoring, and iteration of industry-specific models. Analyze temperature, vibration, current, frequency, and other critical indicators to identify abnormalities, fault types, health status, and risk trends for predictive maintenance.

Free Trial

Industry Agent Application Development

Build fault-warning, root-cause analysis, maintenance knowledge, inspection, and work-order assistants for pump station teams. Turn model results into understandable, executable, and traceable intelligent applications that improve daily maintenance efficiency.

Free Trial

Knowledge Graph and RAG

Organize equipment structures, component relationships, fault mechanisms, maintenance manuals, historical cases, and expert experience into knowledge bases and knowledge graphs. Combine them with RAG to explain fault causes, generate maintenance recommendations, and answer operational questions.

Free Trial

White-box Development Center

Support visual workflows and code-level development in a dual-mode environment. Industry experts can configure rules, processes, and knowledge chains, while developers extend application logic through the SDK, balancing delivery speed, control, and scenario fit.

Free Trial

Solution Highlights

Trusted data, models, knowledge graphs, and AI agents enable explainable maintenance.

Hybrid AI Diagnosis

Small models detect faults
LLMs explain fault causes
Detect, explain, act

View Now

Trusted Data Governance

Trace data end to end
Check quality and lineage
Down-rank weak results

View Now

Predictive Maintenance

Map parts, faults, fixes
Infer related part risks
Act before failures occur

View Now

Industry AI Agents

Build agents visually
Fast, controlled, reusable

View Now

Trusted by Industry Leaders

Recognition from frontline maintenance and smart water projects demonstrates the solution’s value in complex pump station operations.

A Large Pump Station Operator

Pump station operations are more than displaying data. qKnow connects equipment sensing, data governance, model diagnosis, and maintenance knowledge to detect abnormalities early, identify causes quickly, and turn findings into maintenance recommendations and work-order closure.

— Head of Operations and Maintenance

A Smart Water Conservancy Project Organization

“Smart water conservancy cannot stop at isolated monitoring; it needs reusable standard capabilities. Built on a mature product foundation, the solution supports expansion from single-station pilots to station groups, water diversion projects, and regional management.”

— Project Director

Intelligent Rail Transit Equipment Operations

A Rail Transit Equipment Maintenance Organization

Rail transit involves extensive equipment and demanding fault-response requirements, while maintenance experience is often scattered across repair records, procedures, and individuals. qKnow builds an operations knowledge hub that connects equipment, faults, solutions, and historical cases, helping frontline staff identify causes, access standard procedures, and retain reusable experience.

— Head of Equipment Maintenance

Trusted by 500+ Industry Leaders

Leading organizations across industries are unlocking data value and leading in the digital era.

A Trusted Partner for Intelligent Pump Station Operations

Help customers move from pilot projects to scaled adoption through mature products, deep industry understanding, and continuous delivery.

Mature Platform

Built on the mature capabilities of qThing, qData, qModel, and qKnow—not assembled from scratch—covering equipment access, data governance, model analysis, and agent applications to reduce project risk.

Knowledge Capture

Turn maintenance manuals, fault cases, expert experience, operating procedures, and work-order records into knowledge bases and graphs, converting personal experience into reusable organizational capability.

Industry Focus

Focus on critical equipment maintenance for water conservancy pump stations, including pump sets, motors, bearings, valves, and variable-frequency controls, aligned with real operating conditions, inspections, repair processes, and management requirements.

Flexible Delivery

Support cloud, private, and hybrid deployment to meet varied requirements for security, network environments, data boundaries, and operations across government and enterprise projects.

Smart Diagnosis

Go beyond dashboards and alerts with anomaly identification, fault diagnosis, health assessment, remaining-life prediction, and risk trend analysis, helping teams identify risks early and optimize maintenance plans.

Scale & Evolve

Use standard modules, application templates, white-box development, and continuous services to scale from a single-station pilot to station groups and adjacent scenarios such as sluice stations, water plants, pipeline networks, and pump rooms.

FAQ

Key answers on solution differences, model design, data quality, scaling, and expansion.

How does this differ from traditional pump station monitoring?

Traditional systems show data and alarms. This solution interprets anomalies, explains causes, predicts risk, and closes the maintenance loop. IoT, governed data, diagnostic models, and knowledge agents turn monitoring results into actionable recommendations.

Why combine specialized models and LLMs?

Diagnosis must be accurate, real-time, and explainable. Specialized models detect anomalies and trends in sensor data; LLMs use manuals, knowledge bases, and past cases to explain causes, recommend actions, and support decisions.

Can poor onsite data affect diagnosis?

qData cleans, standardizes, validates, and traces data before model use. When data is missing, drifting, or unreliable, the system lowers diagnostic confidence to reduce false conclusions and their impact on maintenance decisions.

How does the solution scale from pilot to rollout?

A representative station first validates connectivity, data governance, models, and agents. Equipment models, diagnostic rules, knowledge bases, workflows, and delivery methods then become reusable templates for rollout to more stations, station groups, and regional deployments.

How does qKnow turn personal experience into shared knowledge?

qKnow turns manuals, fault cases, expert know-how, inspections, and work-order results into knowledge bases and graphs. Role-based agents reuse them in diagnosis, Q&A, inspections, and repair guidance, so individual expertise becomes reusable organizational knowledge.

Can it support water infrastructure beyond pump stations?

Yes. The same IoT, data governance, model analysis, knowledge graph, and agent capabilities can extend to sluice stations, water plants, pipeline networks, pump rooms, and related maintenance scenarios.

Combine data, labeling, model, and asset platforms to support intelligent pump station operations.

Learning Resources

Access white papers, demo videos, and implementation documents to understand solution capabilities, application workflows, and delivery paths.

Solution White Paper

Understand the architecture, core capabilities, typical scenarios, and delivery path of the pump station solution to quickly assess project value.

Solution White Paper
Scenario Application Guide

Browse All White Papers

Product Demo Videos

See the complete workflow from equipment access and anomaly alerts through intelligent diagnosis, cause explanation, and closed-loop work orders.

Scenario Demo Video
Closed-loop Maintenance Demo

Go to Video Center

Delivery Guide

Get implementation guidance for platform deployment, equipment access, data governance, model configuration, and agent application development.

Delivery and Implementation Guide
Product Configuration Manual

View Developer Documentation

Choose the Right qKnow Plan

From evaluation to enterprise delivery, choose the right features and support.

Co-build

For evaluation and validation
Self-build for tech teams

Model connections
Visual agent builder
Tools / MCP / Skills
Knowledge graph
Document vectors
MySQL / Oracle
Knowledge-base RAG
Hybrid retrieval

Try Community Branding Rights

Validate first, then scale.

Top Pick Commercial License

Production-ready
Source + vendor support

Includes Community features

Support & updates
App templates
Solution builder
Knowledge search
Writing & review
Bot builder
Tools & Skills

Multi-graph
Graph DB
Merge & dedupe
Reasoning
Event tags
Ops dashboard

Discuss Pro Plan View Product Suite

Ready for production use.

Custom

For enterprise AI programs
Solution design and delivery

Includes all Pro features

Pro upgrades
Custom agents
Enterprise setup
Access control
Multimodal data
Knowledge assets
Scalability
10+ solutions

Model/vector/graph
Compliance
Platform monitoring
Local stack support
Tools & plugins
System integration
Business expansion

Discuss Enterprise Book an Architect

Built on qKnow Pro for tailored delivery.

Custom Plan

Custom Quote

For complex projects
Customization and integration,
plus governance and delivery.

Request Quote

Global

Tailored Quote

For overseas operations with localization, global deployment, and cross-region support.

Request Quote

Not Sure Which Plan Fits? Ask Our Sales Team

Get a tailored recommendation based on your use case, licensing needs, and implementation goals.

Plan Advice

We recommend the right plan for your use case and goals.

Licensing

Licensing and compliance guidance for safe enterprise use.

Solutions

Architecture and delivery plans tailored to your industry.

Quote

Clear pricing and delivery plans based on project scope.

Scan QR

1-to-1 Consultation

Dedicated advisor
Needs review
Ongoing support

Service Advantages

End-to-end support from consultation to operations.

01
Needs Review

Use case and goals
Deployment needs
02
Plan Selection

Choose the right plan
and license.
03
Solution Plan

Platform design
Delivery roadmap
Delivery plan.
04
Deployment

Deploy environment
Configure product
Connect data.
05
Training

User training
Integration checks
Launch support.
06
Ongoing Care

Ticket support
Version updates
Issue response.

Expert Team

Experienced
delivery team

Proven Process

Standard process
for fast delivery

Best Practices

Proven practices
accelerate value

Lifecycle Care

Long-term care
for your growth

Partners

Recognized by leading industry organizations, earning customer trust through strong technology and service.

CNBM Group

Built a group knowledge graph to organize business materials, expertise, and key relationships, improving search, analysis, and reuse.

Fragmented knowledge is now connected, making search and analysis much faster. Digital Lead

Inspur Yunzhou

Built an industrial knowledge base for multimodal technical documents, enabling parsing, fast search, and knowledge reuse.

Teams find materials faster, and production knowledge is reused more systematically. Product Lead

Jiangsu Water Source

Integrated pump station materials, procedures, fault cases, and maintenance experience to support search, diagnosis, and operations.

Equipment knowledge and experience are unified, making operations support more efficient. Operations Lead

FAQ

Answers to common questions about edition selection, licensing, product delivery, and support.

Who is the Professional Edition for?

It is designed for enterprises that require private deployment, source code access, secondary development, or delivery under their own brand.

What is included with the Professional Edition?

It includes complete runnable product source code, supporting technical and deployment documentation, and the Professional Edition modules specified in the contract.

Does the Professional Edition support private deployment?

Yes. The system can be deployed on customer-owned servers, in a data center, or in another designated private environment.

Can the system be extended through secondary development?

Yes. Customers can extend functionality, develop new modules, or integrate the system with existing business applications.

Can the system name and logo be changed?

Yes. Under the licensing agreement, customers may replace the system name, logo, and copyright information and present it under their own brand.

Yellow River Conservancy Commission

qKnow unifies policies, standards, engineering documents, and historical cases to support Yellow River governance, consultation, drafting, and professional Q&A.

Book a Demo Get Materials

Customer Challenges

Water conservancy materials are extensive and fragmented, while traditional retrieval cannot meet the need for fast queries and accurate answers in complex operations.

Scattered Materials

Policies, standards, engineering documents, and business rules are scattered across systems and teams.

Slow Search

Keyword search and folder browsing make professional knowledge slow to find.

Unreliable Answers

File-based search lacks context, leading to inconsistent answers and evidence.

Lost Expertise

Expert know-how and cases are hard to retain and reuse when teams change.

Why qKnow

Ground large models in trusted knowledge so they truly understand water conservancy operations and continuously support real work.

Multi-source Knowledge

Unify policies, procedures, engineering documents, rules, and cases in one governed knowledge base.

Traceable Answers

Use RAG to return professional answers with cited files, passages, and source locations.

Knowledge Graph Context

Map relationships across rivers, projects, institutions, standards, events, and operations.

Flexible Agent Building

Combine LLMs, knowledge bases, graphs, and tools to quickly build domain agents.

Secure Private Deployment

Keep documents, knowledge, and model calls inside the customer environment with secure access control.

Continuous Knowledge Ops

Manage updates, versions, evaluations, and feedback to continuously improve answer quality.

Solution

Connect content aggregation, knowledge governance, intelligent Q&A, and business applications to build a professional knowledge service system for Yellow River governance.

Overview

Centered on qKnow, the Yellow River LLM application unifies policies, procedures, engineering materials, business rules, and historical cases under one knowledge-management system.

Document parsing, chunking, vector retrieval, knowledge graphs, and LLMs turn source materials into searchable, usable AI knowledge assets. Agent orchestration then supports professional Q&A, procedure lookup, assisted drafting, and business consultation through one trusted service.

Unified Knowledge Foundation

Connect policies, technical standards, engineering materials, business rules, and historical cases. Parse, classify, chunk, index, and version documents to turn fragmented content into structured, attributable, continuously updated water conservancy knowledge assets.

Water Conservancy Knowledge Graph

Build a knowledge graph covering rivers, reservoirs, water projects, management organizations, standards, business matters, and historical events. The resulting relationship network supports complex retrieval, relationship analysis, and professional reasoning.

Professional Q&A Assistant

Combine LLMs with knowledge-base RAG to answer natural-language questions about policies, business rules, technical standards, and engineering documents, returning citations and source evidence to improve retrieval efficiency and answer trustworthiness.

Intelligent Application Orchestration

Visually combine LLMs, knowledge bases, knowledge graphs, and business tools to build agents for policy consultation, procedure lookup, assisted drafting, and business knowledge Q&A across departments and roles.

Assisted Document Drafting

Use policies, business rules, historical materials, and professional knowledge bases to generate outlines, continue content, validate standards, and recommend citations for reports, presentations, meeting minutes, and business documents.

Knowledge Operations and Governance

Establish continuous operations around knowledge updates, versioning, content review, Q&A evaluation, and user feedback to identify outdated knowledge, low-quality answers, and gaps, ensuring long-term accuracy, stability, and improvement.

Customer Benefits

Move from manual searches and individual experience to unified knowledge services and intelligent business assistance.

Before

Materials spread across systems and teams
Repeated search and staff enquiries
Search returns file lists only
Answers vary by person
Expert knowledge is hard to retain
Long onboarding for new staff

From Fragmented Knowledge to Unified Governance

After

Water materials managed in one place
Fast natural-language knowledge search
Answers include sources and citations
Consistent guidance across teams
Expert knowledge retained and reused
Intelligent apps deployed quickly

Unified Base

Standardize fragmented materials into current, governed knowledge.

Fast Search

Search files directly in natural language and ask follow-up questions.

Cited Answers

Show sources and citations so every answer can be verified.

Expert Reuse

Retain expert knowledge and cases for reuse across the organization.

90%: Search Time
Reduced
90%: Common Q&A
Auto-answer Rate
100K+: Managed
Knowledge Items
80%: Professional Q&A
Hit Rate

Project Value

Turn fragmented Yellow River water-conservancy knowledge into sustainable intelligent capabilities for daily operations.

Knowledge Assets

Manage policies, standards, engineering documents, and business experience as current, reusable knowledge assets.

Business Efficiency

Shorten research and consultation while reducing repeated searches, manual organization, and cross-team coordination.

Domain Expertise

Combine knowledge bases, knowledge graphs, and LLMs to support complex water-conservancy work with trusted expertise.

Reusable AI Apps

Reuse shared platform capabilities and application templates to expand more water-conservancy AI services.

Contact Us

Explore the project approach, implementation, and outcomes, and receive practical guidance tailored to your organization's knowledge and data foundation.

Case Guide

Review the background, challenges, solution, and implementation results.

Product Demo

See core product features and how they work in real use.

Similar Cases

Learn how similar organizations plan and deliver knowledge platforms.

Project Advice

Get initial implementation advice for your current foundation and goals.

Scan to Chat 1:1 Consultation

Dedicated Advisor
Needs Review
Ongoing Support

Related Products

Connect data, model, labeling, and intelligent platforms from data governance through production AI applications.

More Customer Cases

See how water and industrial organizations turn domain knowledge into practical, reusable AI applications.

Jiangsu Water Source Co., Ltd., Eastern Route of the South-to-North Water Diversion Project

Jiangsu Water Source Co., Ltd. — East Route

Unify operations, scheduling, technical standards, and professional materials in a water-conservancy knowledge platform for search, procedure lookup, and business support.

Sinoma International Engineering Co., Ltd.

Integrate design, construction, equipment, and technical standards into an enterprise knowledge service for engineering search, experience reuse, and project collaboration.

Inspur Yunzhou Industrial Internet Co., Ltd.

Build an enterprise knowledge base for industrial internet products, technical solutions, and project materials, supporting consultation, solution drafting, delivery, and technical support.

Smarter Knowledge. Better Decisions.

From consultation and assessment to tailored solutions, we are ready to help.

Start Free Trial

One-on-one Architect Consultation

Expert Technical Support

O&M Assurance

Project Support

About qKnow

About qKnow

Knowledge Retention and Management

Application Delivery and Industry Solution

RAG and Knowledge Hub

Bot Building and Development

Knowledge Understanding and AI Delivery

Integration and Extensibility

Composable Capability System

Integrated Intelligent Ecosystem

Qiantong Technology

Honors and Certifications

4 patents · 35 copyrights

High-Tech Enterprise

ISO Information Security

ISO IT Service Management

Domestic Tech Certification

Domestic Tech & Security

AAA Credit Rating

Tech SME

Software Certification

ISO Three-System Certification

Domestic Tech & Ecosystem

City Star Enterprise List

Data Standards CommitteeMember

GVP—Gitee Most Valuable Open-source Project

AtomGit G-StarInfluential OSS Project

Contact Us

Data Standards Committee
Member

AtomGit G-Star
Influential OSS Project