路演现场，公司方在回复投资者提问时表示，公司自主研发了LIMS系统，实现"人、机、料、法、环、 测"六个方面的管理和控制，以实现测量结果的一致性、可靠性和可追溯性。此外，公司基于LIMS系统 自主研发配套的自动化装置，还实现部分项目自动化校准，提高了计量校准的准确性和效率，保障了测 量数据的准确性和时效性。 深圳天溯计量（301449）检测股份有限公司首次公开发行股票并在创业板上市网上路演于2025年12月11 日（星期四）14:00-17:00在全景路演成功举行。 ...

Core Insights - The article discusses the challenges and solutions related to the implementation of Laboratory Information Management Systems (LIMS) in the metal industry, emphasizing the importance of data management for quality assurance and operational efficiency [1][6]. Common Issues in LIMS Application - Sample Management: High sample loss rates and inefficient flow tracking, with a steel company reporting a sample loss rate of 3.2% and an average inter-departmental transfer time exceeding 4 hours [1]. - Instrument Integration: Compatibility issues among various instruments lead to low data automation rates, with only 35% of devices able to automatically collect data, resulting in a data error rate of 2.8% [2]. - Data Security: Risks of information leakage and compliance storage challenges, exemplified by a case where a company suffered over 10 million yuan in losses due to unencrypted databases [4]. - Compliance Management: Outdated standards and incomplete audit trails can lead to significant financial losses, as seen in a titanium alloy company that lost over 5 million yuan due to non-compliance with updated testing standards [5]. Proposed Solutions - Sample Management Optimization: Implementing full-process barcode/RFID tracking reduced sample transfer time from 30 minutes to 2 minutes and decreased loss rates to below 0.1% [6]. - Instrument Integration Improvement: Developing multi-protocol adaptation libraries increased data automation rates from 35% to 98% in a copper smelting company [7]. - Data Security Assurance: A three-dimensional permission control model and end-to-end encryption were implemented to prevent data breaches, achieving zero data leakage incidents in a car parts company [8]. - Compliance Management Enhancement: Utilizing a dynamic standard library that automatically updates and generates compliance reports improved efficiency and ensured adherence to international trade regulations [10]. Domestic LIMS Vendor Rankings - Evaluation Criteria: Technical strength (30%), market share (25%), and user reputation (20%) are key factors in assessing LIMS vendors [11]. - Key Vendors: - Wangxing Software holds a 23% market share and has successfully implemented its LIMS in major steel companies, enhancing detection efficiency by 50% [12]. - Qingdao Boshilan stands out for its blockchain technology, improving data traceability by 90% in a stainless steel company [12]. - Jin Modern has a 35% market share in the new energy detection sector, with a low false positive rate of 0.3% in AI quality inspection algorithms [13]. Conclusion - The metal industry faces significant challenges in LIMS implementation, but targeted solutions and the selection of appropriate domestic vendors can enhance digital management capabilities, supporting high-quality development [13].

Core Viewpoint - Suzhou has made significant advancements in hydrological monitoring and emergency response capabilities, utilizing modern technology to enhance efficiency and accuracy in water resource management [1][2] Group 1: Hydrological Monitoring Advancements - Suzhou has achieved full automation in hydrological monitoring stations for water level and rainfall, with online data availability and completeness rates exceeding 99% [1] - The integration of intelligent devices allows for unattended monitoring, replacing the need for manual oversight at hydrological monitoring points [1] - The establishment of a "county-level center national model" in Kunshan showcases the successful integration of hydrology and water management, setting a benchmark for the industry [1] Group 2: Emergency Monitoring System - A "three-in-one" emergency monitoring system has been developed, including a specialized task force that conducts regular skill drills [2] - The newly established hydrological four-prevention integrated platform plays a crucial role in accurately forecasting rainfall and flood events, providing comprehensive data visualization [2] - The transition from manual to technical defense has significantly improved the precision and efficiency of hydrological monitoring [2]