Against the backdrop of the continuous expansion of domestic photovoltaic (PV) installed capacity and the rapid growth in operational and maintenance (O&M) needs of existing power plants, whether the power generation performance of modules meets standards and whether there are potential inefficiencies in strings have become core issues in power plant acceptance, O&M inspections, and technical renovation assessments. Traditional testing methods often rely on human experience for judgment or are limited by equipment accuracy, environmental adaptability, and data management capabilities, making it difficult to meet the requirements of large-scale power plants for rapid, accurate, and traceable testing. The Shanghai LAILX portable IV tester LX-PV31 is a string-level performance testing equipment specifically designed to address this industry pain point. Through high-precision IV curve testing, synchronous collection of environmental parameters, STC nominal parameter conversion, and convenient on-site operation capabilities, it provides a more engineering-valuable testing method for evaluating the performance of PV power plant modules and strings. Current, voltage, and power curve tester

The core value of LX-PV31 lies in transitioning the performance testing of components and strings from "empirical judgment" to "quantification through data". Over long-term operation, photovoltaic (PV) components may experience a decline in power generation capacity due to factors such as hidden cracks, hot spots, PID effect, loose wiring, shading attenuation, and batch differences in components. Relying solely on visual inspection or single voltage and current readings often fails to comprehensively reflect the true state. LX-PV31 can complete IV curve testing from individual components to strings, quickly obtaining key parameters such as open-circuit voltage, short-circuit current, maximum power, fill factor, and conversion efficiency. It also utilizes the device's built-in analysis capabilities to comprehensively evaluate string performance. For scenarios such as power station acceptance, batch sampling inspection, investigation of inefficient strings, and comparison before and after technical upgrades, this curve- and data-based testing method can more intuitively present the operational status of components or strings.

Compared to the current requirements for operation and maintenance (O&M) efficiency in the domestic photovoltaic (PV) industry, the on-site adaptability of LX-PV31 stands out with its distinct advantages. PV power plants are widely distributed, encompassing diverse scenarios such as rooftop distributed systems, mountain power stations, fish-PV hybrid systems, agriculture-PV hybrid systems, and desert and Gobi base installations. O&M personnel need to swiftly switch operations across different terrains, varying lighting conditions, and diverse module specifications. The LX-PV31 is designed to be portable, facilitating easy transportation to complex sites like rooftops, mountains, and water surface supports, thereby reducing the costs associated with transporting and deploying large equipment. The device supports environmental parameter detection, enabling the simultaneous collection of key data such as irradiance, ambient temperature, and panel temperature. It also performs power conversion based on Standard Test Conditions (STC), aiding users in approximating the module performance under standard operating conditions. This capability is directly relevant for quickly assessing on-site whether modules are operating at their rated power and whether strings exhibit abnormal attenuation.

At the data management level, LX-PV31 also aligns with the trend of digital operation and maintenance in domestic photovoltaic power plants. Traditional on-site inspection is prone to issues such as scattered data recording, inconsistent report formats, and difficulty in matching components with test results, which affect later traceability and operation and maintenance decisions. LX-PV31 supports the saving of inspection data, waveform recording, parameter statistics, and report output, and can be used in conjunction with host computer software for secondary analysis to form a more complete inspection archive. For third-party inspection agencies, EPC units, power plant operation and maintenance providers, and asset holders, this data capability, which can be stored, exported, and compared, not only enhances inspection efficiency but also provides a basis for component quality acceptance, division of operation and maintenance responsibilities, and power generation evaluation.

From an industry perspective, the domestic photovoltaic (PV) market is transitioning from a focus on "heavy construction" to one emphasizing "operation and maintenance, efficiency, and asset quality". As the scale of modules continues to expand, issues such as inefficient strings, hidden degradation, and equipment aging will gradually emerge. Fine-grained detection capabilities will become an important support for power plant revenue management. LX-PV31 is not simply a replacement for manual readings; rather, with the string-level IV curve as its core, it connects module performance, environmental conditions, standard conversion, and data analysis, making on-site detection more engineering-like, standardized, and traceable. For PV practitioners who wish to improve inspection quality, reduce labor costs, and enhance the reliability of power plant generation, LX-PV31 provides a complete solution from individual modules to strings, and from on-site testing to data management.

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