what's up These reports can not only prove that the installed links meet the standard requirements of Category 5 or Category 6. They are also tools to help you get more business, improve efficiency, improve product quality, improve service level, check the level of installers and improve and maintain customer satisfaction. There are four main user groups of field test information: installers, consultants, end users and cable manufacturers. Every user has his own special requirements. Installers/integrators are in a competitive environment. For attractive industries, it is a continuous challenge to provide educated and trained installers and products and processes with quality assurance at reasonable profit prices. Integrators may be the users who have the greatest demand for on-site testers, and usually use them for 6-7 days a week. They are also particularly concerned about the following questions: 6? 1 Will I win more projects?
6? 1 Are the termination levels of all installers consistent? In many projects, the integrator can only receive the project payment after completing all the installation work and the user obtains the warranty certificate from the original manufacturer. Sometimes it takes four weeks just to prove the warranty. Consultants usually specify construction requirements, including mandatory tests and report formats. For some important links, it may also be required to ensure that the next margin exceeds a certain level of the standard limit, to ensure the minimum ACR (margin), or to exceed the frequency range specified by the standard. At the same time, the frequency of consultants using test instruments is not as high as that of other users. They are in an influential position because they usually ask for what is necessary. They also pay special attention to the following issues:
6? Are there any unknown anomalies in the data of 1? Manufacturers manufacture and supply cables and connectors, and grant and undertake quality assurance requirements. The needs of manufacturers are different from those of other users, and usually need more detailed analysis in order to maintain and improve product quality and efficiency. Their needs include:
6? 1 When fault diagnosis is needed, how to quickly find the root of the problem and separate normal and abnormal data? There are several alternatives to solve the problems listed above. Including manually checking the test results, analyzing the detailed test results output in CSV format, or using special software to automatically analyze the results, such as Fluke Networks LinkWare Stats statistical reporting software. The traditional way is manual analysis. In the field, small projects (below 100) usually print and bind test reports. For large-scale projects, the outcome documents will be stored on CD-ROM in the form of electronic files. It is unrealistic to analyze the data comprehensively in an acceptable time. Check randomly selected reports whenever possible. If the anomaly is detected first, we should make an in-depth analysis. If nothing unusual is found, all we can do is hope that everything is normal. Another manual method is to analyze the detailed data exported in CSV format. Most cable record management software includes the option of exporting all data items and test records in CSV format: each test record is output in the form of rows or columns. CSV may be difficult to read, but it is very easy to analyze with standard applications. Such as spreadsheet programs or internally developed software. Using this method, it goes beyond simple pass/fail analysis and can meet the requirements of different types of users for field test information:
6? 1 Integrator can determine whether the installer has tested all the links according to the required test settings.
6? 1 Consultants can analyze parameters not required by TIA standard (such as insertion loss in actual copy length).
6? 1 The manufacturer can sample and detect the long-term average.
6? End users of 1 can view the average and worst margins of important links. Although CSV can be used for valuable in-depth analysis, there are still many problems. As mentioned in the first part of this paper, a large amount of stored data will cause the number of data items to exceed the maximum limit that a standard spreadsheet program can import (255). LinkWare test result management software, such as Fluke Networks, allows editing to a certain extent to select items to be exported. However, if you need to export all the data items to get all the information, you can only export multiple files and analyze them many times, which makes the process more complicated. Another potential problem is that CSV data items may be changed (such as adding new data items) due to the requirements of testing new versions of software or standards. These changes will have a certain impact on the output format. This will force the process and user-developed software to be modified accordingly. The result is that it can be used normally now, and the tester software may not work normally after upgrading. CSV data can also be edited and tampered with at will. When the data is output in text format such as CSV, it is easy to modify the test results intentionally or unintentionally, and the authenticity of the data will be doubted. Automatic analysis programs, such as LinkWare Stats report statistics software of Fluke Networks, can provide more convenient and powerful test data analysis ability, and also bypass the shortcomings of using CSV output. LinkWare Stats can give a performance overview of10,000 points on a piece of paper. It can quickly point out the differences of performance parameters and settings in the whole installation project (see Figure 3). Figure 3: Look at the whole test result from two aspects. In addition to the overview information, looking at the data in the whole range of storage results will find valuable information. The commonly used overview tool is a column chart, which shows the number of tests on the Y axis and the required test result margin on the X axis. In Figure 4, you can see the distribution of the next margin of the 1674 permanent link. Note that the results are on the normal distribution curve, and it can be considered that the product and the termination process are consistent. Link headroom less than 1dB is displayed in yellow. Any failed links will be displayed in red. Figure 4:4: The next margin histogram-normal distribution is shown in Figure 5, and we see the result moving to the right. Obviously, the average profit rate in this example is much better, and it is a higher quality link. Figure 5: Next Tolerance Bar Chart-Better Average Tolerance Figure 6 shows evidence of inconsistent termination process, as it is known that the same cables and connectors are used throughout the project. This is a signal to check the next allowance according to the installer or location (floor, building, etc.). Someone may need further training. Figure 6: Next margin bar chart-Inconsistent margins are based on line pair combination or frequency. It is also meaningful to further analyze the performance test results at both ends of the link. Fig. 7 plots the worst return loss tolerance according to frequency. We see that most of the worst return losses occur in the high frequency band (the results of more than 350 lines are between 225 and 250MHz). It is recommended to consult the experts of connectors, because the mismatch between connectors and cables affects the return loss margin in this example. Figure 7: Histogram of return loss versus frequency. A complicated problem surrounding management data mentioned in the first part of this paper is "false pass". When invalid settings are used to create the illusion of passing, "false passing" will occur, which should not happen. A typical example is to use the settings of Class 5 basic links (adapters, test standards) to test super Class 5 permanent links. To find such problems, we need to look at the test results according to the tester, software version, connection adapter and so on. This can check the test settings to ensure that all conditions are legal and valid. There are many problems in the example provided in Figure 8: using the wrong tester, outdated software version, wrong adapter and inconsistent NEXT margin. Without such a simple overview method, it will be a long time to manually find out these problems from hundreds of test reports. Figure 8: Tester overview shows a contradictory summary. With the continuous development of cables, connectors and test equipment, the demand for analyzing the growing test data is also increasing. This trend continues. The Standards Committee is discussing the new performance and test requirements of the next generation wiring system. The data storage requirements of installed links are getting higher and higher. Automatic analysis methods such as LinkWare Stats provide a brand-new scheme for checking data. Through the statistical analysis of the test results of the whole project, the data is easier to understand, the workload is reduced, and the shortage of using CSV format data is avoided. Integrators, consultants, end users and manufacturers all have different needs. Automatic statistical analysis can find "hidden" information in depth test results, ensure the correct use of the tester, and gain the necessary in-depth understanding of link performance and installation technology. LinkWare report management software can be downloaded from the Chinese website of Fluke Network Company.