IVD Wiki from Genrui
MEDLAB is the leading exhibition in the laboratory equipment industry in the Middle East, attracting countless audiences. From 5th to 8th, February, 2024, MEDLAB was held at Dubai World Trade Centre. ...Read More >
On November 13-16, the world's largest and most influential medical industry event--Medica, was held in Düsseldorf, Germany.Read More >
Recently, Tanzania’s first IVD (in vitro diagnostics) reagent factory which combining Genrui’s technology with German capital has officially put into operation. A grand opening ceremony was held, an...Read More >
For fully automated biochemistry analyzers, if you can understand the machine's principles and conduct segmented searches, you can achieve rapid troubleshooting.
Currently, although biochemical analyzers on the market may use different detection principles, their basic modules are similar. The most important thing is that these devices rarely have circuit problems, so the likelihood of quick repair is relatively high.
Generally speaking, various hardware components of biochemical analyzers can be divided into three major blocks: first is the optical system; second is the liquid distribution and transmission system; and third is the temperature control system. These three systems are connected to the computer through relevant circuits and software editing is used for parameter selection operation. Therefore, when a user encounters a problem, the problem is first judged to be inside which system, achieving fast positioning.
In general, circuit problems are rare, and optical systems and distribution systems are more likely to have problems, followed by DC power supply systems. The optical energy detector in the optical system is generally sealed, can hardly be disassembled, and has a long service life. The most common problem is the aging of the light bulb, and in some devices, there will be an alarm for insufficient light, which is conducive to rapid positioning according to the alarm content.
The distribution system is relatively complex, with many pipelines, and its modules can be subdivided into three blocks: reagent distribution; sample distribution; and cleaning. Specific components include packaging pipelines, deionized water, mixers, turntables, distribution needles, cleaning arms, mechanism arms, injection pumps, etc. This part may have problems such as air leaks, inaccurate sampling, and blockage of pipelines and needle holes. The cleaning time of the needle hole can be programmed, and when doing strong acid and strong alkali projects, it is best to edit them separately, and there should be other weak acid and alkali projects in the middle to form a buffer. Moreover, the quality of pure water during cleaning is also very important, and the water quality is generally required to be second-level or above reverse osmosis water, requiring a water resistance of more than 1 MQ.
Based on the above analysis, with the corresponding treatment strategy, it is possible to have a clear idea of common equipment problems, making it easier to repair and speed up problem resolution.
To eliminate any kind of fault, there are actually hierarchies. One is from high to low, starting from the major principles as previously mentioned and dividing the functions first. The other is from low to high, starting from the most direct fault manifestation. Some problems are relatively simple, and many machines have error reporting functions. According to the prompts, the fault point can be found directly. For example, if there is a problem with the light source and the bulb is damaged, it can be replaced directly. There is no need to classify the functions from beginning to end. This depends on the analysis and judgment of the real and false characteristics of the fault's specific manifestations.
During the locating process, make full use of the machine's self-alarm information. However, sometimes error message is not the direct cause of the fault, and analysis should be based on specific principles. Another quick way to judge the software and hardware faults of the device is to determine whether the machine itself has problems or the software has problems based on the repetitiveness of the instrument inspection results. If the repetitiveness is poor, it indicates that the machine hardware has problems; conversely, if there is no problem with the machine itself, the technical files may need to be re-edited.