automatic internal diagnosis

简明释义

自动诊断计算机内部故障

英英释义

例句

1.The car's onboard computer uses automatic internal diagnosis to monitor engine performance and detect faults.

汽车的车载计算机使用自动内部诊断来监控发动机性能并检测故障。

2.The new software update includes an automatic internal diagnosis feature that helps identify issues quickly.

新软件更新包含一个自动内部诊断功能，可以快速识别问题。

3.After running an automatic internal diagnosis, the technician was able to pinpoint the source of the network issue.

在运行了一个自动内部诊断后，技术人员能够准确找出网络问题的来源。

4.During the system boot-up, the computer performs an automatic internal diagnosis to check for hardware failures.

在系统启动时，计算机会执行一个自动内部诊断来检查硬件故障。

5.The printer has an automatic internal diagnosis tool that alerts users to any paper jams or low ink levels.

打印机有一个自动内部诊断工具，可以提醒用户纸张卡住或墨水不足。

作文

In today's rapidly advancing technological landscape, the concept of automatic internal diagnosis has emerged as a pivotal component in various fields, particularly in healthcare and engineering. The term refers to the ability of a system or machine to autonomously assess its own performance and identify any potential issues or malfunctions without human intervention. This capability not only enhances the efficiency of operations but also significantly reduces the time and resources required for troubleshooting. One of the most prominent applications of automatic internal diagnosis is found in medical devices. For instance, modern diagnostic tools such as MRI machines and blood analyzers are equipped with sophisticated algorithms that allow them to perform self-checks. These devices can detect anomalies in their functioning, alerting healthcare professionals to potential problems before they escalate. This early detection is crucial in ensuring patient safety and improving treatment outcomes, as it allows for timely maintenance and repairs. Moreover, automatic internal diagnosis plays a vital role in the automotive industry. Many contemporary vehicles come with onboard diagnostic systems that continuously monitor the engine's performance and other critical components. When a fault is detected, the system generates a trouble code, which can be accessed by mechanics using specialized tools. This not only streamlines the repair process but also empowers vehicle owners to stay informed about their cars' health, ultimately leading to better maintenance practices. The benefits of automatic internal diagnosis extend beyond just individual devices. In industrial settings, manufacturing equipment equipped with this technology can optimize production processes by identifying inefficiencies and suggesting improvements. For example, a robotic arm on an assembly line can assess its own movements and determine if adjustments are needed to enhance precision and speed. By implementing such systems, companies can reduce downtime and increase overall productivity. However, the integration of automatic internal diagnosis into various sectors is not without challenges. One significant concern is the reliance on technology, which may lead to complacency among operators and technicians. While these systems are designed to enhance efficiency, it is essential for personnel to remain vigilant and not solely depend on automated diagnostics. Training and education are crucial in ensuring that workers understand the limitations of these systems and can intervene when necessary. Additionally, there are ethical considerations surrounding the use of automatic internal diagnosis. In healthcare, for example, the accuracy of self-diagnosing systems can vary, leading to potential misdiagnoses. It is imperative that healthcare professionals maintain a critical eye on the results generated by these technologies and use them as supplementary tools rather than definitive answers. In conclusion, automatic internal diagnosis represents a remarkable advancement in technology that has the potential to revolutionize various industries. Its ability to autonomously monitor and diagnose issues can lead to improved efficiency, safety, and productivity. However, it is crucial to approach this technology with a balanced perspective, acknowledging both its advantages and limitations. As we continue to embrace automation and intelligent systems, the integration of automatic internal diagnosis will undoubtedly play a significant role in shaping the future of many fields, driving innovation while necessitating responsible usage and oversight.

在当今快速发展的技术环境中，自动内部诊断的概念已成为各个领域，尤其是医疗和工程领域的重要组成部分。这个术语指的是一个系统或机器能够自主评估其自身性能并识别任何潜在问题或故障，而无需人工干预。这种能力不仅提高了操作效率，还显著减少了故障排除所需的时间和资源。

自动内部诊断最显著的应用之一是在医疗设备中。例如，现代诊断工具如MRI机和血液分析仪配备了复杂的算法，使它们能够进行自检。这些设备可以检测到其功能中的异常，提醒医疗专业人员潜在问题，以便在问题加剧之前进行处理。这种早期检测对于确保患者安全和改善治疗结果至关重要，因为它允许及时的维护和修理。

此外，自动内部诊断在汽车工业中也发挥着重要作用。许多现代车辆配备了车载诊断系统，能够持续监控发动机的性能和其他关键组件。当检测到故障时，系统会生成故障代码，机械师可以使用专业工具访问这些代码。这不仅简化了维修过程，还使车主能够了解自己汽车的健康状况，最终导致更好的维护实践。

自动内部诊断的好处不仅限于单个设备。在工业环境中，配备此技术的制造设备可以通过识别低效之处并提出改进建议来优化生产过程。例如，装配线上的机器人手臂可以评估其自身的运动，并确定是否需要调整以提高精度和速度。通过实施这样的系统，公司可以减少停机时间并提高整体生产力。

然而，自动内部诊断在各个行业的整合并非没有挑战。其中一个重大担忧是对技术的依赖，这可能导致操作员和技术人员的自满。虽然这些系统旨在提高效率，但工作人员必须保持警惕，而不是仅仅依赖于自动诊断。培训和教育对于确保工人理解这些系统的局限性并能够在必要时进行干预至关重要。

此外，围绕自动内部诊断的使用还有伦理考量。在医疗保健中，例如，自我诊断系统的准确性可能有所不同，导致潜在的误诊。医疗专业人员必须对这些技术生成的结果保持批判态度，并将其作为补充工具，而不是最终答案。

总之，自动内部诊断代表了技术的显著进步，具有革命化各个行业的潜力。其自主监测和诊断问题的能力可以提高效率、安全性和生产力。然而，重要的是以平衡的视角看待这项技术，承认其优点和局限性。随着我们继续拥抱自动化和智能系统，自动内部诊断的整合无疑将在塑造许多领域的未来中发挥重要作用，推动创新，同时需要负责任的使用和监督。