Home on Hanxing Technology

Government & Justice

Wed, 01 Jan 2020 00:00:00 +0000

Background

Government governance and the justice sector face three persistent challenges: data scattered across siloed systems with inconsistent definitions; institutional knowledge locked in experienced staff that’s hard to transfer; and AI tools that lack traceability and auditability, making leadership hesitant to use them for decisions.

Hanxing addresses these pain points with six government platforms — Smart Public Security Detention, Procuratorate Digitalization, Smart Justice Prison, Smart Drug Rehabilitation, Smart Courts, and Administrative Reconsideration AI Review — building a tripartite system of data governance, industry knowledge, and trusted AI analysis. The administrative reconsideration AI review platform appliance is a Huawei ecosystem product powered by a judicial vertical algorithm model for document generation and case analysis.

Government Intelligence Platform

Wed, 01 Jan 2020 00:00:00 +0000

Overview

The Government Intelligence Platform provides configurable government AI assistants for public services, case analysis, and city operations. It combines data governance, industry knowledge, and trusted AI analysis in auditable workflows, with optional generative BI, government service assistance, and discipline inspection products for specialized needs.

Core Capabilities

Data Hub — Unified data collection, governance, and service
Industry Knowledge — Regulations, standards, and cases as a reasoning knowledge graph
Trusted AI Workbench — Assisted analysis, document generation, risk early warning
Visualization Cockpit — Situational awareness, command dispatch, performance evaluation

Operational Value

Standardize definitions across systems and reduce manual reconciliation
Convert regulations, cases, and expert practice into reusable knowledge and rules
Keep leads, tasks, evidence, and outcomes in one auditable business chain
Govern AI through permissions, masking, logs, and model evaluation

Counter-UAV Defense System

Wed, 01 Jan 2020 00:00:00 +0000

Overview

The Counter-UAV Defense System covers detection, intelligent analysis, coordinated response, and situational replay. Radar, electro-optical, and radio sensing provide a continuous low-altitude operating picture for critical sites. Fixed stations, mobile units, and temporary deployments can work with existing command, security, and communications systems.

Core Capabilities

Multi-source detection fusion (radar, electro-optical, radio)
AI target identification and threat assessment
Graded alerts and authorized response coordination
Full-process situational recording and post-event replay

Deployment Scope

Site survey and blind-zone analysis for protected assets and perimeters
Multi-source sensor access, fusion, and equipment-health monitoring
Airspace rules, allowlists, alert levels, and response-plan configuration
Routine watchkeeping, drills, event archiving, and equipment maintenance

Generative BI

Wed, 01 Jan 2020 00:00:00 +0000

Product Overview

Generative BI serves managers and analysts who frequently need to query, compare, and explain operational data. A governed metric layer converts natural-language questions into data queries and visual tasks, reducing the coordination cost of fixed reports and ad hoc data requests.

Core Capabilities

Natural-language analytics — Trends, rankings, distributions, comparisons, statistics, and detailed queries
Metric semantic parsing — Governed business terms, definitions, dimensions, and calculation rules
Dynamic visualization — Automatic charts, explanations, and analytical summaries
Multi-device publishing — Large screens, PCs, mobile devices, tablets, and periodic reports

Operational Value

Shorten the path from a business question to a data answer
Reduce repeated development of fixed reports and ad hoc queries
Keep metric interpretations consistent across departments
Turn frequent analysis into reusable topics and organizational knowledge

Suitable Organizations

City operations centers, government departments, industrial parks, public institutions, and enterprise data or operations analysis teams.

Low-Altitude Security & Economy

Wed, 01 Jan 2020 00:00:00 +0000

Background

Low-altitude applications are moving from isolated trials to routine operations at scale. Operators, aircraft, airspace, routes, missions, and field infrastructure need shared rules to balance safety, efficiency, and public-service capacity.

But “no security, no low altitude” — safety is the prerequisite. As drones proliferate, “black flights,” surveillance incidents, airport disruptions, and even terrorism risks grow. How to make low-altitude airspace “flyable, manageable, and serviceable” is a real challenge for every province and city.

Energy & Infrastructure

Wed, 01 Jan 2020 00:00:00 +0000

Background

Energy and infrastructure inspection often spans large areas, complex terrain, and scattered assets. Manual patrol alone struggles to maintain frequency, detail, and personnel safety, while imagery, thermal data, and historical records need a shared archive for comparison and verification.

Hanxing deploys drones and AI vision for efficient inspection, smart diagnosis, and safety protection across solar farms, power lines, oil & gas pipelines, and forest fire prevention.

Solar PV Inspection & O&M

The Problem

Large solar plants contain dense, widely distributed component fields. Manual inspection is time-consuming and may miss abnormal heating, shading, and subtle damage. Combined visual and thermal collection narrows the scope of human verification and provides location evidence for maintenance.

Government Service AI Assistant

Wed, 01 Jan 2020 00:00:00 +0000

Product Overview

The Government Service AI Assistant organizes service rules, material requirements, common questions, and workflows into an interactive capability spanning citizen preparation and desk acceptance. It can operate online or connect to service halls, self-service terminals, and staff workbenches.

Core Capabilities

Smart guidance — Match needs to service items, channels, eligibility, and materials
Material pre-review — Check completeness and key information with correction prompts
Form assistance — Reuse authorized data and assist citizens or staff with forms
Service operations — Analyze inquiry topics, rejection causes, and workflow bottlenecks

Operational Value

Reduce wrong-window visits, missing materials, and repeat submissions
Lower the burden of frequent consultation and manual material checks
Keep service explanations consistent across online and offline channels
Improve service items and processes using operational evidence

Suitable Organizations

Government service administrations, administrative approval departments, service halls, industrial park service centers, and public service organizations.

Unified Flight Management Platform

Wed, 01 Jan 2020 00:00:00 +0000

Overview

The Unified Flight Management Platform builds a provincial and municipal low-altitude flight service system covering sites and landing facilities, flight plan approval, real-time monitoring, anomaly handling, and operational replay. A shared object model and operational record connects management bodies, operators, and support organizations.

Core Capabilities

Low-altitude airspace digitalization and route planning
Online flight plan application and smart approval
Full-area real-time monitoring and anomaly alerts
Operational data replay and statistical analysis

Implementation Boundaries

Configuration depends on local responsibilities, airspace and route conditions, existing flight-service systems, communication-navigation-surveillance capabilities, and data-sharing boundaries. Responsible authorities confirm approval rules, alert thresholds, and response procedures; the platform executes configurations, records the process, and supports replay.

Discipline Inspection AI Assistant

Wed, 01 Jan 2020 00:00:00 +0000

Product Overview

The Discipline Inspection AI Assistant addresses material-heavy, rule-intensive, and highly auditable case work. It brings material processing, evidence analysis, knowledge retrieval, document assistance, and quality review into one workbench. AI output remains advisory; authorized personnel retain responsibility for every material judgment and action.

Core Capabilities

Smart indexing — OCR, element extraction, document classification, and file checks
Evidence verification — Assisted checks of content, timing, relationships, and conflicts
Intelligent review — File retrieval, summaries, regulations, cases, and handling guidance
Documents and quality — Assisted drafting, proofreading, disposition references, and case checks

Security and Audit

Supports local deployment, data classification, least privilege, and sensitive-information protection
Records model inputs, retrieved evidence, outputs, human edits, and final confirmation
Requires human review for high-risk output and prevents automatic enforcement actions

Suitable Organizations

Discipline inspection and supervision commissions and authorized teams responsible for case management, investigation, review, adjudication, and quality assessment.

Robot Cluster Command System

Wed, 01 Jan 2020 00:00:00 +0000

Overview

The Robot Cluster Command System is a robot platform providing unified access and cluster command for drones, robot dogs, unmanned vehicles, and vessels. It supports mission planning, autonomous navigation, collaborative operations, remote control, and end-to-end data return. Protocol adapters and capability models organize equipment from different vendors into schedulable, observable, and reviewable operating units.

Core Capabilities

Unified device access and protocol adaptation
Cluster mission planning and autonomous scheduling
Remote control and real-time video return
Multi-machine collaboration and autonomous obstacle avoidance

Operations

Maintain one registry for devices, payloads, accessories, firmware, and health
Reuse mission templates for inspection, rescue, security, and transport
Schedule around maps, restricted areas, link quality, and remaining battery
Archive video, alerts, tracks, and reports as searchable mission records

Traffic Management

Wed, 01 Jan 2020 00:00:00 +0000

Background

Many urban traffic problems concentrate at intersections and critical road segments. Signal timing, channelization, and safety screening often rely on manual experience and fragmented data, making consistent, reviewable evaluation difficult.

Hanxing’s “Traffic AI Governance System” starts from public security traffic police operations, using a five-layer closed-loop architecture — “Sensing → Data → AI → Optimization → Control” — to build a city traffic AI brain, helping traffic authorities shift from “reactive response” to “proactive prevention.”

Environmental & Natural Resource Management

Wed, 01 Jan 2020 00:00:00 +0000

Why environmental governance needs low-altitude sensing

Environmental issues often appear across large, complex areas that are difficult to cover continuously on foot. Riverbanks, forests, mines, farmland, and construction sites need a more frequent and flexible inspection layer so that one-off checks become an accumulating operational dataset.

Hanxing connects drones, payloads, AI vision, geospatial data, and dispatch into one workflow: aerial collection, assisted identification, issue verification, response, and review.

Four environmental capabilities

Wide-area remote sensing

Plan missions by area and objective, then collect georeferenced, time-stamped data with visual, thermal, mapping, or environmental payloads.

Industry UAV Applications

Wed, 01 Jan 2020 00:00:00 +0000

Overview

Industry UAV Applications cover forest fire monitoring, agricultural UAV crop protection, drone solar panel cleaning, photovoltaic inspection, natural resources, and environmental patrols. AI visual analysis, autonomous flight, and result management turn one-off missions into reusable operating data. The platform can manage equipment, crews, routes, payloads, missions, alerts, and thematic reports together.

Core Capabilities

Autonomous route planning and precision operations
AI visual identification and anomaly detection
Multi-source data fusion and thematic mapping
Emergency response and collaborative command

Operational Loop

Model the operating area and check routes, airspace, and weather before flight
Monitor equipment health, video quality, progress, and alerts during work
Archive imagery, point clouds, thermal data, and recognition results after flight
Convert findings into work orders and track correction, reinspection, and change over time

AI Traffic Management

Wed, 01 Jan 2020 00:00:00 +0000

Overview

The AI Traffic Governance Platform combines video AI analysis with multi-source traffic data governance across video, radar, signal control, intersection registries, and historical incidents. It supports event detection, intersection assessment, signal optimization, assisted violation discovery, coordinated response, and outcome validation.

Core Capabilities

AI automatic traffic event detection and alerting
Intelligent signal optimization and green wave control
Automated violation evidence and push
Situational analysis and governance decision support

Governance Loop

Maintain one registry for intersections, devices, signal plans, violations, and incidents
Use metrics and models to identify high-risk sites and abnormal trends continuously
Track recommendations, responsible teams, execution progress, and field feedback
Validate real-world outcomes through simulation, observation windows, and data comparison

Smart System Integration

Wed, 01 Jan 2020 00:00:00 +0000

Overview

Smart System Integration covers security, building automation, AV, LED, networking, and server rooms from planning and design to commissioning and continuous O&M. User workflows and operational ownership guide the solution so independently functional subsystems can also work together.

Core Capabilities

Structured cabling and network infrastructure
Security surveillance and building automation
Audio-video and LED display systems
Smart O&M and unified management

Delivery Boundaries

Design outputs include system diagrams, point lists, equipment schedules, interface checklists, and scenario tests. Implementation records cover concealed works, configurations, commissioning, and changes. Handover includes accounts, permissions, backups, training, and O&M documentation for traceable troubleshooting and expansion.

AI Computing Factory

Wed, 01 Jan 2020 00:00:00 +0000

Overview

The AI Computing Factory provides large-scale liquid-cooled AI computing center delivery spanning high-density computing, cluster networking, liquid cooling, modular rooms, and intelligent O&M. IT loads and operational targets guide a coordinated design across servers, networks, power, cooling, fire safety, monitoring, and site engineering.

Core Capabilities

Modular server room and liquid-cooled deployment
High-density GPU clusters and high-speed networking
Smart O&M and energy efficiency management
Full-cycle engineering from planning to delivery

Delivery Principles

Define workload and expansion phases before sizing infrastructure, and define interfaces and test boundaries before manufacturing and construction. Equipment parameters, commissioning records, alert rules, and acceptance evidence are retained for O&M, expansion, and troubleshooting.