Intelligent Inspection Robot Software Control AI Cloud Platform

Adapt to various robots and empower multiple application scenarios

Under the wave of industrial automation, the pain points of low efficiency, high risk, and insufficient accuracy in traditional manual inspection are becoming increasingly prominent. Robot inspection has become a necessity in various industries. Zhiyi Era integrates core technologies such as AI intelligent algorithms, big data analysis, and data security protection to create an integrated inspection platform that is suitable for multiple scenarios and models. It is mainly used for equipment/environment inspection, fault warning, data analysis, and other scenarios. Through data analysis and real-time monitoring, potential problems can be identified in advance to effectively prevent accidents from occurring.

Intelligent Inspection Robot Management System

The intelligent inspection robot management system of Zhiyi Era is built on the B/S architecture, integrating hardware and software platforms such as servers, routers, and displays. It can achieve remote automatic/manual control, data access, storage and positioning, and graphical display of various inspection robots (drones, quadruped robotic dogs, rail mounted robots, wheeled robots, etc.). The system collects and efficiently transmits data through a unified platform, stores information on a big data platform, and uses an algorithm platform for calculation and analysis, generating real-time fault alarms and warnings. All inspection data can be intelligently displayed on the client side, supporting customized report generation, intelligent recognition of videos and images, inspection log recording, sound spectrum analysis, and video review, ultimately forming an AI assisted decision-making capability based on big data.

Software Platform Introduction

The intelligent inspection robot software controls the AI cloud platform, which is the core "brain" of the robot. It integrates autonomous navigation, environmental perception (such as vision, thermal imaging, gas detection), AI intelligent analysis (identifying instruments, defects, anomalies), and task management functions, transforming the robot's hardware capabilities into efficient and intelligent inspection solutions. By real-time monitoring, automatic alarm and data analysis, the inspection efficiency is significantly improved and personnel safety is guaranteed. At the same time, the platform integrates backend permission management, two-way voice intercom, remote video expert assistance, inspection personnel and task management, and other functions to achieve comprehensive remote intelligent control and collaborative management.

Leadership Cockpit

Intelligent inspection of rail mounted robots: supports multi monitoring point management, visual meter reading (pointer/digital instrument), environmental parameter monitoring (temperature and humidity, gas concentration, etc.), infrared temperature measurement warning and other functions, and can achieve automatic execution of periodic and planned inspections. Suitable for industrial manufacturing, energy and power, warehousing and logistics, and other fields.

Unmanned aerial vehicle inspection (intelligent inspection/stacking measurement): The unmanned aerial vehicle intelligent inspection management system provides inspection route planning, task information visualization, AI intelligent cruise alarm (identifying anomalies such as landmark damage and ground collapse), and accurately records key data such as latitude and longitude, inspection range, etc; The stacking measurement management system covers inspection data statistics, AI intelligent inventory, task full process control, real-time push of alarm information, and supports functions such as route planning, flight point setting, and preset expected number of photos. The platform is compatible with mainstream industrial grade drones such as DJI, and is suitable for urban governance, park operation and maintenance, emergency rescue and other scenarios.

Wheeled/quadruped robot intelligent inspection: The system integrates functions such as abnormal state statistics, violation behavior recording, infrared monitoring, noise detection, warning and alarm, inspection tasks, and operation and maintenance status prediction. Suitable for scenarios such as steel, coking, factory dust, railway freight yards, etc.

Blast furnace tuyere inspection: It can achieve real-time monitoring of visible light and infrared images, remote robot control and sensor parameter adjustment, support intelligent inspection task scheduling, alarm record tracing, visual analysis of inspection results, and real-time collection and display of key parameters such as movement distance, radar data, voltage and current, laying a solid foundation for building a smart operation and maintenance system for steel enterprises.

Control and Monitoring

Remote control and interaction: Remote control of robots to handle complex scenarios, such as sudden troubleshooting.

Environmental monitoring: By tracing and analyzing data from specific time periods, it provides data support for environmental management and decision-making.

Data analysis and alerts

Real time monitoring: The dashboard displays inspection data (temperature, humidity, voltage, etc.).

Fault diagnosis: AI models compare historical data to predict potential faults (such as equipment lifespan warnings).

➛ Grading alarms: push different levels of alarms (emergency, general, prompt) through SMS/email/platform.

Intelligent Detection

Visual recognition: Identify device status through cameras and AI algorithms, such as instrument readings, loose bolts, and liquid leaks.

➛ Infrared thermography: detects equipment overheating points.

➛ Sound analysis: Identify mechanical abnormalities such as bearing noise, wear, belt looseness, etc. through voiceprint recognition.

management platform

Home: Global display of real-time operating status and task execution data of various types of robots (quadruped robotic dogs, rail mounted robots, wheeled robots, etc.).

Historical data: supports querying the historical data and trends of specific targets based on monitoring points and time ranges.

Track configuration: Supports configuring basic information of rail mounted robots according to different regions and factory areas, and multiple tracks can be set up in the same region.

Task Management

Multi machine scheduling: It can simultaneously control multiple robots to collaborate and allocate task priorities.

➛ Scheduled/Triggered Inspection: Supports executing inspections according to preset plans or triggering emergency inspections by sensors (such as temperature anomaly alarms).

Four legged/wheeled robot path planning: supports preset inspection routes or dynamic obstacle avoidance path planning based on SLAM technology, solves the problem of real-time positioning and map construction of robots in unknown environments, and achieves autonomous navigation and motion control.

Core strengths

Multi model adaptation and strong compatibility: The platform can meet diverse inspection task requirements and is highly adaptable to various models such as wheeled inspection robots, quadruped robotic dogs, rail mounted robots, drones, etc., making it convenient for manufacturers to quickly connect with existing hardware equipment. Integration can be quickly completed through standardized interfaces, and adaptability covers more than 90% of industrial inspection robot types.

Full scene functional coverage and outstanding practicality: The platform integrates mature functional modules of various core models, which can be flexibly combined and customized according to the actual inspection needs of different industries and factories. Whether it is high-risk equipment inspection, large-scale outdoor inspection, warehouse material inventory, personnel safety supervision, or special monitoring in special scenarios such as blast furnace tuyere, the platform can provide targeted inspection solutions to meet the diverse needs of industrial operation and maintenance.

Supported by AI algorithms, leading in intelligence level

The platform is equipped with 15+core AI intelligent algorithms with an accuracy rate of over 95%, which can quickly identify equipment failures, environmental anomalies, illegal operations, and other issues, significantly reducing the cost of manual intervention

Instrument reading recognition: Based on the YOLOv11 algorithm combined with OCR technology, it accurately recognizes pointer and digital instrument readings.

Equipment status detection: including key monitoring points such as belt deviation/foreign object/tear detection, pipeline and storage tank deformation detection, valve status detection, bolt loosening detection, level gauge/oil pot identification, indicator light status recognition, etc.

Environmental and safety monitoring: liquid leakage detection, fire inspection (identification of fire, smoke, and temperature anomalies), infrared temperature measurement (high and low temperature anomaly alarm), personnel departure detection, personnel safety behavior detection, tank and surrounding environment detection (material leakage, wall cracks, missing railings, etc.).

Intelligent analysis capability: By comparing historical data with AI models, equipment life warning and potential fault prediction can be achieved, and voiceprint analysis can be supported to identify mechanical abnormalities (such as bearing noise, belt looseness, etc.).

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Zhiyi Era's intelligent inspection robot software controls an AI cloud platform, with multi scenario adaptation as its core advantage and multi model collaboration as its technical support, providing efficient inspection solutions for various industrial fields. In the future, our company will continue to deeply cultivate the field of intelligent inspection, constantly iterate technology and products, and build a solid production safety defense line for more industry customers, helping industrial operation and maintenance enter a new stage of intelligence and refinement.