Digital Humans and Internet of Things Project Cases

Digital human voice dialogue

AI Digital Human: Integrating speech recognition models, speech synthesis models, dialogue models, and vectorization models.

1. Deliver a digital human voice dialogue project for a provincial leader.

2. Deliver a digital human dialogue project to an all-in-one machine manufacturer.

3. Deliver a Steam digital human dialogue project for educational purposes.

4. Delivered an internal data voice query project for a certain company.

Intelligent detection system for charging piles

Data processing: Processing over 20 million data entries daily.

1. Monitor the health status of equipment and components: Monitor key indicators such as the charging unit's operating status, energy consumption, faults, telemetry, and remote signaling, and display them globally in multiple ways, providing real-time feedback to maintenance personnel to ensure the normal operation of the charging unit.

2. Monitor the lifecycle of equipment and components: Monitor the charging time and warranty period of chargers, and monitor the usage frequency or time of modules, AC contactors, DC contactors, fans, charging guns, fire protection devices, and smoke detectors. Classify and issue early warnings for items whose lifecycles are about to expire or have already expired.

3. Tracing the lifecycle of equipment and devices: Real-time recording of data generated by equipment and devices to generate historical data reports for the equipment or devices, and tracing the lifecycle of equipment and devices.

4. Equipment Authorization Operation: Provides remote operation functions for the chargers, including charger authorization and system upgrades. Administrators can remotely control whether the chargers are enabled through the system, facilitating equipment management and maintenance.

5. Detailed data recording: Provides records of data such as equipment inventory, equipment information, configuration information, production information, usage information, and after-sales information.

6. Statistical Reports: The system provides statistical reporting functions. Task reports track the charger's task execution status, including indicators such as charging times, charging duration, and charging amount. Energy consumption reports track the charger's energy consumption, including indicators such as electricity consumption. Equipment reports track the charger's equipment status and fault conditions, including indicators such as equipment online rate and number of faults.

Smart Campus Equipment Monitoring

Data access: Data is collected through various methods such as MQTT, Modbus, RTMP, and API.

1. By using smart terminal devices, we can realize functions such as online energy consumption monitoring, power safety management, equipment linkage control, and intelligent data analysis, thereby promoting the improvement of the school's overall strength.

2. Manage access control for personnel and parking information to achieve centralized control of people, vehicles, and goods.

3. Inventory of IoT assets on campus: Conduct a comprehensive review of IoT device assets distributed within the campus network, take stock of the assets, and establish an IoT asset database.

4. On-campus faculty and students are responsible for identity verification, access control, attendance, internal consumption, meeting check-in, access to public computer labs and the internet, and library book borrowing and returning.

Large-scale course scheduling system

AI Big Data Model: You only need to tell me your scheduling requirements in a Word document. No more tedious data entry. Leveraging the powerful computing capabilities of Alibaba's big data model and Tsinghua University's big data model, intelligent timetable arrangement is achieved.

1. Natural Language Scheduling: You no longer need to learn how to operate various software programs. Just write a Word document based on your needs, and the large model will understand your needs on its own.

2. Flexible schedule adjustment: When you need to adjust the schedule, tell the big model which teachers need to be adjusted and how, and the big model will automatically determine whether it can be adjusted and give the best suggestion.

3. Self-questioning, self-answering, and self-verification: The system adopts large models from multiple top domestic manufacturers and performs multi-model self-questioning, self-answering, and self-verification during a single scheduling process to ensure the best timetable quality.

Bluetooth storage box unlocking

Low power consumption, large-volume storage box management

1. Installing a smart parcel locker at home solves the problem of sending and receiving packages when the user is not at home, reducing the cost of last-mile delivery to the door.

2. The device uses low-power Bluetooth and is equipped with two AA batteries, providing a standby time of over one year.

3. Data is encrypted during transmission, and the lock can be opened at close range using a mobile phone, ensuring the security of the storage box.

4. Convenient payment, management, and unlocking are achieved through WeChat mini programs.

5. WeChat mini programs serve as platform entry points, integrating community service functions.