Solutions

Developed on our foundational technology products, we’ve built solutions that aim to modernize OT environments and increase efficiency in operations. We also develop custom solutions based on customer-defined specs, featuring our signature scalability and configurability.

OT Modernization

SW Defined Industrial Automation & Controls platforms offer virtualization, containerization and hybrid Cloud technology to transform OT Automation & Control systems into virtualized, open, interoperable, secure and agile digital OT systems.

Heysoft’s standards-based SW Defined Industrial Automation & Controls platform helps transform OT into adaptive, resilient, and intelligent based Digital Automation systems to improve efficiency, enhance cybersecurity, and improve data management techniques.

  • Replacing proprietary built hardware with a general-purpose virtualized computing platforms, reducing overall hardware infrastructure. 
  • Modernizing Apps by decoupling SW from appliances, by collaborating with industry vendors, enabling upgrades & updates with less complexity.
  • Implementing data storage and management techniques, such as cloud-based storage and big data analytics.
  • Utilizing cloud computing to provide flexibility, scalability, and cost savings, allowing organizations to access resources on demand.
  • Enhancing cybersecurity measures to protect against evolving threats and vulnerabilities.
  • Implementing AI & Automation which could streamline processes, improve efficiency, and enable data-driven decision-making

Use Case

SW Defined Substations | Substation Edge Cloud

  • Secured 2-Way Data Access into Substations based on Cybersecurity Compliance
  • Advanced Substation Gateway Functions i.e. Collection, Concentration and Conversion
  • Flexibly Deploy & Run Intelligent Analytics for Enhanced Substation Operations
  • Virtualization of Automation and Controls Applications for Remote Manageability
  • Migration from Proprietary to Standardized Open-Architecture 61850 HW
  • Variable HW Form Factors for different Substation and Asset Classes i.e. High Voltage, Primary, Secondary, Feeder Pillars
  • Accelerating Innovation via DevOps of Applications developed by Open-Source Community

Current Substation

  1. Large Floorspace from Fixed-Feature PAC systems
  2. Many LV Substations are unconnected to SCADA
  3. Capex-intensive & Inflexible PAC systems
  4. Limited Security & Manageability
  5. Limited ability to utilize Data Analytics & AI
  6.  

Future Substation

  1. Reduced Floorspace from Virtualized & Consolidated PAC systems
  2. LV Substations can be connected via Edge Cloud
  3. Use of Commodity HW for reduced Capex & Change Agility
  4. Cybersecurity compliance & Remote Manageability
  5. Architected for Real Time Data Capture, Analytics & AI

DER Management Cloud

DER Management Cloud provides advanced monitoring and control for Distributed Energy Resources (DERs) and microgrids, whether on residential, commercial, or industrial premises. This solution supports autonomous real-time control of DERs, enabling local and remote management, as well as fleet-wide aggregation for participation in energy markets and delivery of grid services. By optimizing DER operation, the system enhances grid reliability, energy efficiency, and sustainability.

Uses cases

Private DER & Microgrid Management

Seamlessly integrate DERs from various manufacturers using their native communications protocols. Link field devices to Heysoft Microgrid Thingslake, to enable service providers to remotely activate and manage energy services for their customers. Enable real-time monitoring, load balancing, and energy flow optimization for microgrids, ensuring resilience and self-sustainability.

DER Virtual Power Plants

Combines multiple small-scale home or commercial, decentralized energy resources e.g. rooftop solar, electric vehicles, into a single device lake. Assets aggregated to Heysoft’s DER Management Cloud to provide grid services and meet scheduled or even fast grid services, Powered by Heysoft’s Thingslake platform.

Utility Scale DER Controls

Manage large-scale DER assets with advanced grid integration, supporting peak load management, frequency regulation, and demand response services.

Tech Products

H-EdgeAI

Real-time edge processing for seamless DER control and grid interaction.

H-ProtoX

Integration with DER assets and microgrid controllers through industry-standard protocols for streamlined communication.

H-ThingsCloud

Scalable data storage and analytics for DER performance monitoring, control, and optimization.

Industries:

  • Power: Improve grid stability, flexibility, and efficiency through DER and microgrid integration.

  • Renewables: Maximize renewable energy output and streamline grid connection.

  • Manufacturing: Support energy resilience and efficiency in industrial operations.

  • Oil & Gas: Optimize DERs in remote and off-grid energy production sites.

 

Next-Generation EV Charging Management

EV Charge Station (EVCS) Operations & Management suite, featuring Advanced V2X Energy Management, Power Grid Integration, and Digital Utility services. Designed to manage Small to large-scale EVCS for Owners and Public & Destination Charge Point Operators (CPO).

E-Mobility : CSMS & V2X Suite

EV2GO Edge (Station) Controller Built on H-ProtoX

On-Premise Edge Station Controls for Local CSMS, Advanced Energy Management & Digital Utility Services

EV2GO CSMS (O&M) Platform Built on H-ThingsCloud

Consolidated Charging Station Management System for Back Office Operations of CPOs & Multisite Owners

EV2GO Fully integrated System Edge Stations Controller + CSMS

On-Premise Edge Station Controls & Consolidated Charging Station Management System for Back Office

E-Mobility – Use Cases

EV Charge Station Charger Management

  • Charger Ops. Status
  • Multi-Charger & Multi Site Management
  • Charger Grouping for varying Rates & Priorities
  • Scheduled tariff settings based on ToU & ToD
  • User Account Management
  • Overall Ops. Dashboard

EV Charge Station Energy Management

  • On-Site/ Local Controller with Lights-Out Capability
  • Localized or Connected CSMS Feature
  • Automatic Charge Capacity Limits based on Network and Supply Conditions
  • Integration of DERs & Peak Shaving for Max Demand Avoidance
  • V1G Ready & V2G Support Planned
  • Aggregation & Grid Services Market Integration

Professional
Services

  • Integration with 3rd party systems via API
  • Communicates with any OEM charger and system via OCPP
  • Payment Gateway integration
  • Support for Digital Utility platform integration

Asset AI

Asset AI focuses on monitoring and managing the health of operational equipment to enhance performance, reduce downtime, and optimize efficiency. By leveraging advanced time series analytics, Heysoft enables real-time data collection, processing, and insights for critical OT assets. The solution supports both purpose-built industry historian platforms for high-performance data analysis and open-source time series analytics built on flexible, open-source databases.

Uses cases

O&G Plant Optimization

Improve the efficiency, safety, and uptime of oil & gas assets through predictive maintenance, real-time fault detection, and process optimization.

Solar Plant Optimization

Optimize solar energy generation by monitoring panel performance, detecting equipment faults, and minimizing downtime with AI-powered analytics.

Generation Plant Optimization

Enhance the operational efficiency of power generation plants by monitoring critical equipment, reducing wear and tear, and improving energy output through continuous monitoring and insights.

Tech Products

H-ProtoX

Seamless integration with SCADA systems, sensors, and OT equipment to collect and transmit critical data.

H-AutoShift

Cloud-based AI engine for advanced analytics, anomaly detection, and asset performance optimization.

H-EdgeAI

AI-based edge processing for real-time asset health monitoring and predictive analytics.

H-ThingsCloud

A scalable data lake platform designed to store, manage, and analyze large volumes of time-series data.

Industries:

  • Power: Boost plant efficiency, asset reliability, and energy production.

  • Oil & Gas: Increase operational uptime, reduce maintenance costs, and mitigate risk.

  • Renewables: Maximize renewable energy output and optimize plant operations.

Vision AI

Vision AI leverages advanced machine vision and AI technologies to improve manufacturing operations, safety, and surveillance by inspecting production quality, monitoring safety parameters, and enhancing operational systems in real time.

Machine Vision Use Cases

Machine Vision in Smart Manufacturing

Improving Product Quality and System Efficiency

▪️Inspects products on manufacturing lines to detect flaws and optimize output.
▪️Reduces labor costs by automating routine inspections.
▪️Improves system efficiency and throughput by minimizing bottlenecks and enhancing precision.
▪️Frees up employees to focus on higher-value tasks.

Machine Vision in Operations

Predictive Maintenance and Process Optimization

▪️Continuously analyzes data from cameras, microphones, and sensors embedded in machinery.
▪️Detects early signs of equipment wear and faults, allowing for planned preventive maintenance.
▪️Reduces unexpected downtime and spreads maintenance costs over time.
▪️Optimizes equipment performance, increasing longevity and minimizing repair costs.

Machine Vision in Safety and Security

Ensuring Workplace Safety and Hazard Detection

▪️IMonitors workers to ensure they wear the required personal protective equipment (PPE).
▪️Tracks movement to keep workers within designated safety zones..
▪️Empowers robots, automated vehicles, and equipment with hazard recognition to avoid collisions or dangerous incidents.
▪️Helps prevent workplace accidents by providing real-time alerts and interventions.

Vision AI Use Cases

Industrial Manufacturing

On the factory floor, machine vision systems perform high-speed quality control and inspection tasks like capturing and analyzing images to detect defects, verify assembly, and guide robotic operations.

Warehouse Automation

Machine vision systems guide automated mobile robots (AMRs) and robotic arms in tasks like bin picking, package sorting, inventory management, and determining the optimal grip points and orientations for handling

Visual Inspection

Machine vision can also perform automated visual inspections through high-resolution product images, which are then analyzed using AI to detect defects, measure dimensions, and ensure quality standards.

Autonomous Driving

Machine vision works alongside sensors like LiDAR to help autonomous vehicles develop a 360-degree environmental view. Detects and classifies vehicles, pedestrians, and obstacles. Estimates relative distance and predicts movement paths.

Grid Insights

Ensuring grid reliability amid the increasing adoption of Distributed Energy Resources (DERs) necessitates advanced analytics and real-time insights into grid operations. Key analytical processes include State Estimation, Power Flow Analysis at both Medium Voltage (MV) and Low Voltage (LV) levels to detect voltage limit violations and component overloading, Fault Detection, Load and Generation Forecasting, and Power Quality Evaluation for issues like Voltage Imbalance and Interharmonics.

Uses cases

Grid Predictive Maintenance

Leveraging AI-driven predictive maintenance enhances operational efficiency by analyzing data from grid equipment to predict and prevent failures before they occur. This approach reduces unplanned downtime and maintenance costs. ​

Grid Operations

Implementing Edge AI optimizes grid management by analyzing data from smart meters, sensors, and grid equipment to balance supply and demand, manage grid congestion, and optimize energy distribution in real-time. This improves grid stability and reduces energy waste. ​

Tech Products

H-EdgeAI

A high-performance, microservices-based software stack designed for secure data ingestion, processing, storage, orchestration, and management at the edge. It enables real-time analytics and event-driven control across diverse operating systems and protocols.

H-ThingsCloud

A scalable cloud platform that facilitates advanced analytics and machine learning for grid operations. It supports predictive maintenance, load forecasting, and optimization strategies by processing vast amounts of data collected from grid assets.

H-ProtoX

Data acquisition software that integrates with automation systems across various industries, including power and renewables. It seamlessly acquires data from SCADA systems, PLCs, DERs, EV chargers, BMS, and plant controllers using industry-specific protocols such as IEC, DNP, OPC, Modbus, and others.

Industries:

  • Power: Enhancing grid reliability and efficiency through advanced analytics and AI-driven insights.​
  • Renewables: Optimizing the integration and management of renewable energy sources within the grid, ensuring stability and maximizing energy output.

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