Advanced Serial Data Logger

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For Windows 2000 - Windows 10 (2019) (incl. Server, x86 and x64). Latest version: 4.4.8 build 519. .

Weight data logger. Parsing weight data from scales

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Problem scenario:

I am taking a weight from a scale ever couple of seconds and I want the software to take that weight via the serial port and load it directly into a database with a date and time stamp on each entry. I want this to be software that will start with Windows and hands free to the
operator. The database is located on a network drive and it will not be open at the time, unless the software has the ability to open Access.

Serial data captured

Fig.1. Serial data captured


It is assumed that:

You have configured all communication parameters (baud rate, number of data bits, flow control etc) in the data logger and you are able to receive all data without communication errors.


The image (Fig.1) above shows a simple data flow. Each record has a fixed size and a fixed position for each item. As an example, for a single record, all non-printable characters with a code less than 20 Hex are selected for display. The indicated radio buttons are set as shown below.

Weight data logger. Serial data view setup

Fig.2. Weight data logger. Serial data view setup

Click the "OK" button and attempt to receive data from a serial port. You should get something like the image below.

Weight data logger. Data received

Fig.3. Weight data logger. Data received.

This is the other view of the data received. Notice that all non-printable characters were replaced with their code i.e. #0D. It is clear from the data screen above, that the data block (within the green rectangle) ends with #0D (underlined by red).

We are now ready for configuring of the modules. First, select the "ASCII data query and parser" plug-in (Fig.4a, pos. #1) from a drop-down list. Then, enable a parsing option for data received (Fig.4a, pos. #2) and select the necessary data export plug-ins. The DDE server (Fig.4b, pos. #3) will help to check the accuracy of the parser's configuration. The "ODBC database" plug-in will write the data to the Microsoft Access (Fig.4b, pos. #4).

Weight data logger. The data parser plug-in setup

Fig.4a. Weight data logger. The data parser plug-in setup.

Weight data logger. Data export plug-ins setup

Fig.4b. Weight data logger. Data export plug-ins setup.

Next, open the ASCII parser and query configuration window (click the "Setup" button near the drop-down box as indicated on pos.#1 on Fig.4a). A dialog window will appear on the screen (Fig.5) about the data packet.

Weight data logger. Parser configuration window

Fig.5. Weight data logger. Parser configuration window.

The configuration process should be very simple if you have examined your data flow in the data logger window (Fig.3). You should type in the same as in the data logger window in fields 1 and 2. Field #1 marks the beginning of the data block and the field #2 marks the end. In the example, our data block does not contain a start marker. Therefore, this field is left empty. The values to be typed in here are as underlined in red in Fig.3 above.

Several records in the data flow should not be parsed, because contains an unstable weight data. Therefore we should configure the filter to remove these records from parsing. These records contain "O" or "T" characters and we should create corresponding filter rules (Fig.6).

You will be adding a new filter rule (Fig.6, pos. 1) by clicking the "Add item" button (Fig.6, pos. 2).

Weight data logger. Filter settings

Fig.6. Weight data logger. Filter settings.

The next tab is a very important part of the parser configuration. The data parser uses this information for data extraction from the data block. In the example, the data block contains 2 data items (see Fig.1) namely: first character and weight, which should be separated out to different variables. Later, these variables will be used in the data export and will be placed in different columns of our Access database.

Weight data logger. Parser items

Fig.7. Weight data logger. Parser items.

Any new items may be added by clicking the "Add item" button (Fig.7, pos. 7). Before adding an item the program will ask you about an item description. You can type any characters here, which will help you to remember a variable's content. For this example all 2 variables with their corresponding descriptions have been added.

Each parser item has a number of properties:

  1. Item name - this name will be bound to a column in the data export plug-in. It is a limited text description and cannot contain spaces and a few other characters;
  2. Parser's type - is a method, which the program will use for data extraction. Our parser has a few methods from simple to most powerful. In this example, where data is being placed in fixed place, we can use the simple method - fixed position. This method allows the extraction of any number of characters from any fixed position of the data record;
  3. Data type - is the data type of the characters extracted. For example, you can specify FLOAT or STRING data types. The data will be converted to the conversion type later, in the data export module. The data type here is being used for formatting of the value, which will be specified on the "Data formats" tab later. In the example, the "Call date and time" field has the DateTime data type, the "Call len" field has the Integer data type. All other fields have the String data type;
  4. Default value - the value specified here is to be used when data cannot be extracted from a data record;
  5. Fixed position - is the position of the first variable's character in our data record. The minimum value is 1;
  6. Fixed length - is the number of characters, which will be transferred to a variable. The minimum value is 1.

The second item has the same parameters, a position, a length and a data type of other.

In the next tab, you can specify basic format options as per (Fig.8). If you had specified the data type "String" in the item's parameters, then the first two options allow you to remove blank spaces from a value. Other options are unnecessary in our case, because all our items do not have the date or time data type.

Weight data logger. Format of items

Fig.8. Weight data logger. Format of items.

Click the "OK" button and close the parser configuration window. Then click the "OK" button in the options window.

Now that our parser is ready it is time for testing it. Connect your device and power it on if necessary. Check to see if you are able to receive a data block from the specified serial port. If the parser had been correctly set up, then you should see all parser items names and their values (Fig.9) in the DDE server window below.

Weight data logger. DDE server window

Fig.9. Weight data logger. DDE server window.

We are now ready for configuring of the ODBC database plug-in, that will export data to Access. You can read about it in the second part.

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