I'll create a Node.js script that reads all the data from the Excel file, focusing on the "绩效指标" (Performance Indicator) section, and constructs the object structure you've described. We'll use the xlsx library to read the Excel file.

Here's the Node.js script that accomplishes this:

This script does the following:

1. We define the classes for our object structure: MinSubIndicator, SubIndicator, Indicator, and PerformanceIndicator.

2. The readExcel function reads the Excel file and constructs the object structure:

   • It looks for the "绩效指标" row to start a new PerformanceIndicator.
   • It distinguishes between "产出指标" (output indicators) and "效益指标" (benefit indicators).
   • It creates new Indicator objects when it finds a value in column C but not in D.
   • It creates new SubIndicator objects when it finds a value in column D but not in E.
   • It creates new MinSubIndicator objects when it finds values in both columns E and F.
3. Finally, it logs the resulting object structure.

To use this script:

1. Make sure you have Node.js installed.
2. Install the required package by running npm install xlsx in your project directory.
3. Save the script as excelParser.js.
4. Make sure the Excel file is in the same directory as the script.
5. Run the script with node excelParser.js.

This script should read all the data from your Excel file and construct the object structure you requested, focusing on the "绩效指标" section and properly categorizing the output and benefit indicators.

I'll provide a modified version of the Excel reader that incorporates the structure and logic from the Word document reader. This solution will use the Apache POI library to read the .xls file and construct the PerformanceIndicator objects as requested.

This code does the following:

1. It reads the .xls file using Apache POI's HSSFWorkbook.
2. It processes the sheet to create a list of PerformanceIndicator objects.
3. It identifies different levels of indicators (Performance Indicator, Output/Benefit Indicator, Sub Indicator, and Min Sub Indicator) based on the cell values.
4. It constructs the hierarchy of indicators as requested, with more sub-indicators under the second-level indicators.
5. It handles different cell types (string, numeric, boolean, formula) when reading cell values.

To use this code:

1. Make sure you have the Apache POI library in your project dependencies.
2. Replace "path/to/your/_附件3：预算绩效申报表（-有数据版.xls" with the actual path to your Excel file.
3. Run the main method to read the Excel file and create the PerformanceIndicator objects.

You may need to adjust the isSubIndicator method if there are additional sub-indicator types in your Excel file. Also, you might want to add more error handling and logging as needed for your specific use case.