Market Context — Why This Technology, Why Now

Globally, aging infrastructure necessitates cost-effective, continuous monitoring to prevent failures and ensure public safety. Environmental regulations are tightening worldwide, demanding broader and more precise surveillance of pollutants and natural resources. Furthermore, the push for Industry 4.0 and smart cities emphasizes optimized sensor networks for data-driven decision-making. This technology offers a critical solution to meet these evolving demands by maximizing monitoring efficiency with fewer resources and lower operational expenses.

Key Competitive Advantages
01

Dramatically reduces required sensor count by optimizing observation points compared to conventional random or comprehensive placements.

02

Maximizes inverse estimation success rate to reliably identify targets with fewer observation points, achieving high-precision monitoring efficiently.

03

Offers high technical originality with few prior art references, indicating strong competitive advantage and broad applicability beyond the nuclear sector.

Market Opportunity
Nuclear & Energy Facilities
$300M–$400M globally (AI est.)
Strict safety standards and aging countermeasures lead to continuously increasing demand for high-precision, efficient radiation and structural integrity monitoring.
Nuclear power plant operators Renewable energy infrastructure developers Energy grid operators
Infrastructure & Civil Structures
$200M–$300M globally (AI est.)
Aging bridges, tunnels, and dams necessitate urgent sensor network optimization to reduce maintenance costs and improve inspection efficiency.
Civil engineering firms Public infrastructure authorities Smart city developers
Environmental Monitoring
$150M–$250M globally (AI est.)
Stricter environmental regulations for air, water, and noise pollution drive active investment in wide-area, efficient sensor-based monitoring systems.
Environmental consulting firms Government environmental agencies Industrial pollution control companies
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a broad scope covering observation point determination devices, methods, and programs, with 7 claims. Its strong technical originality is evidenced by few cited prior art documents, providing a robust and stable foundation for licensees to build upon.

Competitive White Space

This patent focuses on optimal observation point determination. Licensees could develop complementary IP in advanced sensor hardware, real-time data transmission protocols, or AI-driven predictive analytics for the collected data.

Economic Impact
~$150K–$200K/year estimated cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Optimizing observation points could reduce equipment-related costs (sensor procurement, installation, maintenance) by 10%–20% annually. Additionally, labor savings from streamlined observation tasks could cut annual personnel costs by 10%–15%, leading to a total annual cost reduction of 20%–30%. For example, a facility with $650K (AI est.) in annual observation-related expenses could see savings of $150K–$200K (AI est.) per year.

Speed to Market
6× faster than in-house development
This technology's observation point determination algorithm is already established, significantly advancing beyond the proof-of-concept stage. The components described in the patent specification are highly compatible with existing computational resources and sensor technologies, eliminating the need for licensees to develop from scratch. Based on existing logical validation and design principles, rapid system integration and pilot testing are possible, significantly shortening time to market.
Competitive Positioning

X: Cost Efficiency
Y: Data Reliability

Business Models & Applications
💻 Software License Provision
Provide the observation point determination algorithm as software. Adopting companies can integrate it into their existing monitoring systems and utilize it for their observation planning.
📊 Consulting Service
Support the formulation of observation point optimization plans specialized for specific facilities or environments. Provide data analysis and strategy formulation using this technology as a package.
☁️ SaaS Platform
Provide observation point determination services on a cloud-based platform. Users can quickly obtain optimal observation point placements by simply inputting information about the target area.
Adjacent Application Opportunities
🏗️ 建設・インフラ
Smart Construction Site Safety Monitoring
Apply this technology to optimize sensor placement for monitoring heavy machinery, worker movement, and intrusion detection in hazardous construction zones. By eliminating blind spots and covering wide areas with minimal sensors, it could reduce safety management costs by up to 30% and significantly lower accident risks.
🏭 製造業
In-factory Quality & Anomaly Detection
Optimize sensor placement (temperature, vibration, acoustics) for product quality inspection and equipment anomaly detection on manufacturing lines. This could streamline early detection of defects and predictive maintenance, potentially reducing downtime by 15% and boosting overall productivity.
🌍 農業・スマートファーム
Environmental Monitoring for Precision Agriculture
Optimize sensor placement for monitoring soil moisture, temperature, nutrients, and pests across large agricultural fields. By strategically deploying sensors, this technology could reduce water and fertilizer waste by up to 20%, potentially increasing yields and lowering environmental impact.
Integration Roadmap — Estimated 12-Month Deployment
Requirements Definition & Data Collection
Duration: 2 months
Collect structural data of the target area, characteristics of observation targets, and information on existing observation systems to clarify the scope and goals of applying this technology.
Algorithm Application & Simulation
Duration: 4 months
Based on collected data, conduct observation point optimization simulations using this technology's algorithm. Evaluate multiple patterns to formulate the optimal placement plan.
Pilot Experiment & System Integration
Duration: 6 months
Conduct small-scale pilot experiments based on the optimal placement plan. After validating effectiveness, proceed with integration into existing monitoring systems and facilities to commence full-scale operation.
Technical Feasibility
This technology is a software-based solution centered on an observation point determination algorithm, making software integration into existing sensor systems and monitoring infrastructure straightforward. Functions such as the 'grid surface creation unit' and 'direct reach determination unit' described in the patent claims can be executed on general-purpose computing resources, likely without requiring significant investment in new dedicated hardware. This results in low technical hurdles for adoption and enables rapid implementation.
Success Scenario
Implementing this technology could maximize current observation resources, potentially reducing observation point installation and operational costs by over 20% annually. This could enable broader monitoring and more detailed observations previously difficult to achieve, for example, shortening facility-wide safety assessment cycles by an estimated 30%. Consequently, it is estimated to significantly contribute to strengthening business continuity plans (BCP) and optimizing regulatory compliance costs.
Patent Record
APPLICATION NO.
特願2022-083280
REGISTRATION NO.
7605492
FILING DATE
2022/05/20
GRANT DATE
2024/12/16
EXPIRATION DATE
2042/05/20
PATENT HOLDER
国立研究開発法人日本原子力研究開発機構
Examination History
2024年10月28日
出願審査請求書
2024年10月28日
早期審査に関する事情説明書
2024年11月12日
早期審査に関する通知書
2024年11月26日
特許査定