aiTree Ltd has been focusing on systematic technologies to solve Demand & Supply problems with Artificial Intelligence algorithms for over 25 years. The typical application Forest Simulation Optimization System (FSOS) has been applied and improved for over 20 years in British Columbia, Canada. The demands from a forest include wildlife habitat, biodiversity, water quality, visual quality, carbon storage, timber production and economic contributions. FSOS focuses on both “what we can take from the forest” and “what we can create in the forest”. Forest design is the most complicated problem because the trees are growing and dying, and all the values have to be considered every year for over 400 years. FSOS is a good example that uses Artificial Intelligence, Big Data and Cloud computing technologies to solve the complicated Demand & Supply problems. You can find more information in the Canadian forest cloud: http://fsos.ca and in the Chinese forest cloud: http://forestcloud.cn.
Cloud-based forest and carbon planning and management software provides optimal solution for teams working remotely. Digital forest and carbon modelling platform http://fsos.ca FSOS (Forest Simulation Optimization System, http://fsos.ca) is a platform for forest planners, researchers and students to build digital forests for the real forests, understand the forests, explore the opportunities and generate strategies to create desired forests from the perspectives of economic, ecological and social values.
The Lakehead University is teaching FSOS in the labs, and the Ministry of Natural Resources and Forestry, Ontario is using FSOS for forest and carbon modeling. Many companies are using FSOS for harvest scheduling and sustainable multiple objective forest design and planning, http://forestecosystem.ca/technology_fsos.html.
More and more countries have carbon-neutral time deadlines, to achieve the carbon-neutral targets, every country has to reduce carbon emission as much as possible and increase forest carbon sink as much as possible. Forest carbon sequestration capacity is very important for a region or a country to achieve carbon-neutral targets, and the forest carbon sequestration capacities greatly depend on forest management. Forest is a complex system because it includes many social, economic and ecological values such as carbon storage, wood production, economic contribution, water quality, visual quality, wildlife habitat, biodiversity and resilience to fires, insect, and disease attacks. A professional cloud-based forest modelling platform http://fsos.com has been widely applied in Canada and China. Carbon sequestration is only one of the objectives in the forest planning. Harvesting forests and utilizing wood properly can maintain a higher carbon sink of a forest, at the same time, make great social and economic contributions to the local societies. Simple reservation is not a good strategy to keep a sustainable carbon sequestration capacity of a forest.
All carbon calculation equations and parameters in the modelling platform http://fsos.ca are from Canadian CBM model and Chinese forest carbon calculation methodologies. The integration of forest planning and carbon accounting has greatly reduced the modelling costs and simplified the forest planning and carbon accounting work. Especially, forest carbon sequestration capacity can be one of the forest management objectives. Otherwise, the linking forest planning and carbon accounting is a difficult job, and the analysis work quality can be greatly discounted.
The Artificial Intelligence technology in the modelling platform http://fsos can help you to balance, sustain and optimize all the values you considered; together with the big data technology, the modelling platform http://fsos can accumulate knowledge, learn from history, and make the forest planning work and carbon accounting work easier and easier, better and better.
With cloud-based forest modelling platform http://fsos.ca, a short-term operational plan and a good long-term strategic plan are fully integrated; the short-term plan can be made to achieve the long-term strategic objectives and the long-term strategic plan can be fully implemented in practice.
The forest modelling platform http://fsos.ca, has integrated the stand dynamic modelling and forest landscape modelling. It greatly simplifies the forest modelling work, and provides the flexibility to include your own stand dynamic growth & yield curves if you have. The platform http://fsos.ca can also be customized if you need a private cloud.
With cloud-based forest modelling platform http://fsos.ca, a smart simulation function can give you quick results and meet the most modeling work. An optimization function uses the same settings as the simulation to optimize, balance and sustain the values when the simulation has difficulties.
With cloud-based forest modelling platform http://fsos.ca, working from home has become easier. Working more efficiently, as a team or between teams, has therefore become a major challenge, especially the forest carbon management requires that many people have to get involved. Zoom is for meetings only; but cloud-based forest modelling platform http://fsos.ca provides a true team-working platform for forest analysis, design, management, carbon accounting and management, etc. Everyone in the teams or from other teams has different permits to change parameters, run functions, check results, write reports, or give suggestions from any locations at same time. The system records and shares the work and results of each planning team member with all other members. Sharing is instantaneous and easy. The system keep all records and write carbon reports automatically.
The cloud-based forest modelling platform http://fsos.ca is the most cost effective online lab for the universities. The Lakehead University has been using the platform in their teaching labs. Professors, teaching assistants, students, and support technicians all worked from home. This platform proved to be ideal for challenges of remote learning. The teaching, marking, and learning experience was a great success for all involved in the challenges of working remotely. You do not need a fiscal lab with hundreds of computers and software.
We are a group of people who believe that the systematic approach can let you save resources, protect environment, and make more profit. We have a lot of experience of using new technologies such as Artificial Intelligence, Big Data, Cloud Computing to integrate long-term strategies and short-term operations. The main principles are: consider long-term targets and short-term demands simultaneously; and consider all layer resources simultaneously.
We have been working with artificial intelligence, big data, HPC cloud computing, and system engineering for decades, bringing business intelligence to designing, planning and optimizing land assets in forestry, utilities and other resource sectors.
FSOS is developed for multiple-objective forest analysis and planning, it integrates long-term strategic planning and short-term operation planning in one model. It is a great tool for forest management simulations, animations and optimizations. You can compare management scenarios and see the future forests with different management scenarios.
We have developed a forest Carbon Analysis and Accounting System FSOS-C based on Forest Simulation
Optimization System (FSOS).
Unlike the other forest carbon accounting systems, FSOS can not only calculate carbon amounts stored in different pools such as stands, wood products, and soil with different stand dynamics and management scenarios, but also optimize and balance with other management objectives such as timber production, profit, wildlife habitat, biodiversity, water quality, etc.
You can design your own field data collector and cloud data storage system. In the cloud, you can define a field data collection task including tables, points, lines, polygons, photos, videos and assign the task to a number of field people. The field people can start the applications, login and start the field data collection work. Many field people can work with the same task and all data can be stored in your mobile devices and the cloud database when the internet connection is available.
Unlike other Artificial Intelligence (AI) technologies, our AI technologies are developed to generate strategies to achieve a big number of objectives with millions of variables and constraints. The secrets of our AI technologies are able to find near optimum solutions within a limited time and calculating resources in the huge search space. Our AI technologies are used to solve optimization problems that traditional mathematic methods cannot solve.
EasyCloud is a high performance computing framework. The idea behind EasyCloud is to build a HPC computing cluster using spare computers in the cloud or the private network whenever you need at any places with low cost. The low performance computers work together and become a high performance computing cluster. The objective of developing EasyCloud is to meet the Artificial Intelligence iterative calculation needs and reduce the software development difficulties. For most distributed computing, you can divide a big task into several smaller tasks and send each task into a machine, wait and summarize the results. The machines do not need frequent communication. However some AI iterative calculation applications need frequent communications between machines.
Instead of spending a lot of time and energy to predict how the trees and stands are growing, we use a simple tree and stand growth & yield model and use the field data to adjust our predictions. The big data ideas make forest analysis and planning work a lot of easier, more efficient and more cost effective.
We have developed an integrated Demand and Supply system (aiTree) that can be used for any kinds of Demand and Supply system problems. We have Demand model, Inventory model and Optimization model for production and transportations. We use big data technologies to predict the market demands of each products, and guide the inventory model and the production model.