河

河南康派智能技术有限公司 Tech Stack

Industrial IoT and energy management systems for equipment monitoring and efficiency

Wholesale 郑州市, 河南省 ~4 employees

河南康派智能 builds embedded and IoT solutions for industrial equipment monitoring and energy optimization. The tech stack—ARM, C/C++, Linux, FreeRTOS, LoRa, NB-IoT, Modbus, MQTT, plus ML tooling (TensorFlow, PyTorch, scikit-learn)—signals hardware-first design coupled with predictive analytics. Active projects span status monitoring, predictive maintenance algorithms, and energy efficiency retrofits; pain points cluster around fault response speed and delivery reliability, indicating early-stage operational scaling challenges.

Tech Stack 39 technologies

Core StackC++ Linux Java Python Go Pandas NumPy scikit-learn TensorFlow PyTorch AutoCAD Oracle SQL Server MySQL nginx ARM C FreeRTOS LoRa 4G NB-IoT Modbus MQTT R SciPy LightGBM Alibaba PLC Tomcat SQL+9 more

What 河南康派智能技术有限公司 Is Building

◆Challenges

Improving fault maintenance professionalism
Enhancing status monitoring platform
Improving product stability
Ensuring economic benefit of energy efficiency solutions
Optimizing software/hardware products for energy efficiency
Operations efficiency optimization
Fault response timeliness
Delivery process streamlining
Meeting market demand and quality targets
Ensuring project timely delivery and quality

▲Active Projects

Status monitoring product project
Aiot product data collection function
Intelligent diagnostic product system design
Energy efficiency management platform
Predictive maintenance algorithm development for industrial equipment
Time series load forecasting for energy management
Central air conditioning retrofit
Air compressor station energy efficiency retrofit
Software and hardware integration project
Data center hardware and network planning

Hiring Activity

Minimal15 roles · 0 in 30d

Department

Sales

Engineering

Product

Data

Ops

Seniority

Mid

Manager

Senior

Junior

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About 河南康派智能技术有限公司

河南康派智能 develops IoT hardware and software for industrial energy management and equipment diagnostics. The company targets factory operations, HVAC systems, and data-center infrastructure with products that combine real-time monitoring (via LoRa/NB-IoT/Modbus) and ML-driven predictive maintenance. The organization is compact (4 headcount) with a sales-led hiring focus (5 sales roles vs. 4 engineering), though the deep ML and data-science tooling adoption suggests analytics capability beyond pure sales operations. Current work includes central AC retrofits, air compressor efficiency optimization, and time-series load forecasting.

Headquarters郑州市, 河南省

Company Size~4 employees

Hiring MarketsChina

Frequently Asked Questions

What technology does 河南康派智能 use to build IoT devices?

ARM microcontrollers, C/C++, Linux, FreeRTOS, and wireless protocols including LoRa, 4G, and NB-IoT. Industrial communication uses Modbus and MQTT; backend runs Python, Go, Java on Tomcat/nginx with MySQL/Oracle.

Does 河南康派智能 use machine learning?

Yes. The stack includes TensorFlow, PyTorch, scikit-learn, LightGBM, Pandas, NumPy, and SciPy. Active projects include predictive maintenance algorithms and time-series forecasting, indicating ML is core to product.

What is 河南康派智能 currently working on?

Status monitoring platforms, AIoT data collection, predictive maintenance for industrial equipment, energy efficiency retrofits (HVAC and air compressors), and load forecasting for energy management systems.