JPH01274247A - Preserved data monitoring system - Google Patents

Abstract

PURPOSE:To recognize the interruption of the update work of a data string by updating the data string starting from a first data string sequentially by changing monitoring data that is the adding value of a preserved data string when the preserved data string is updated. CONSTITUTION:The monitoring data that is the adding value of the preserved data string is updated at step 1, and the preserved data string is updated sequentially starting from first data at step 2. The adding value of an updated data string is calculated after updating is completed at step 3, and a calculated adding value is preserved as the adding value of the data string, that is, the monitoring data at step 4. Even when a CPU is reset due to abnormality generated in the CPU, etc., at a stage that is not the order to update the data to the one with a different value and a state is set at the state to start from an initial state resulting no updating, data abnormality is generated by finding the adding value of the preserved data string since no coincidence between the data and the monitoring data with a changed adding value is obtained.

Description

[Detailed Description of the Invention] [Summary] The added value of the data string is added to the data string and stored in the memory of the computer, and the added value of the saved data string and the saved data string are combined. The stored data string is compared with the added value, and if they are equal, the stored data string is considered correct, and when updating the stored data string, the stored data monitoring method updates sequentially from the first data in the data string. When updating a part of a data string with a different value, it may happen that the CPU becomes abnormal or something like that before it is the turn to update the data with a different value.
The purpose is to provide a saved data monitoring method that allows you to know that update work has been interrupted even if the CPU is reset and starts from the initial state. Change the added value of a certain data string, update the saved data string sequentially from the first data, and when the update is completed, calculate the added value of the updated data string, and apply the calculated added value to the data string. Configure to save as additive value.

[Industrial application field]

The present invention adds an added value of a data string to a data string, stores it in the memory of a computer, and compares the added value of the saved data string with the saved added value of the data string. , the stored data string is considered correct if they are equal, and the stored data string is updated sequentially starting from the first data in the data string when updating the stored data string.

[Conventional technology]

A conventional example will be explained below using figures.

FIG. 3 is a flowchart of a program of a conventional saved data monitoring method, and FIG. 4 is a diagram explaining the state of updating a data string in a conventional example.

To save the data string stored in the RAM II of the computer shown in FIG.
To check whether this saved data string is correct, transfer and save it to the ROM 12 as shown in Figure 3 (Δ) (B).
The program shown in FIG.

In step 1 of the program in Figure 3 (A), RAMII
The data string stored in is transferred and saved in the file 13, and in step 2, the saved data string is added to create monitoring data which is an added value, and in step 3, the monitoring data is added to the saved data string. Save to file 13.

To check whether this stored data string is correct, add the stored data strings in step 1 of the monitoring program in (B) to obtain the added value, and use Stereo Knob 2 to check the added value. If a portion of the data is compared with the stored monitoring data, it is determined to be normal, and if they do not match, the stored data string is determined to be abnormal in step 3.

The stored data string is updated as described below.

For example, as shown in Fig. 4 (A), < DI to DN are valid data, the following are O, and the monitoring data of the added value is S. If the 0 of the N+1st data of the saved data string is different. When you try to update the value data D(N+1), the update program updates the first data D1 sequentially, if the values are the same, it is updated to the same value data, and if the values are different, it is updated to the different value data, and then the fourth data D1 is updated. As shown in Figure (B), Figure 3 (
As in step 2 of the program in A), the added value S' of the updated data string is determined, and this is used as monitoring data as shown in FIG. 4(B).

[Problem to be solved by the invention]

However, before updating to data with a different value, the fourth
At the DM shown in Figure (C), the CPU 10 in Figure 3 (C)
If something goes wrong, reset CPU10,
When the state starts from the initial state, no update work is performed.

Here, even if the saved data string is checked using the monitoring program shown in FIG. There is a problem that it is not possible to detect that the process is interrupted while the process is not updated.

In the present invention, when updating a part of a stored data string to data with a different value, if the data is not updated to the data with a different value, the CPU may become abnormal, etc. The purpose of the present invention is to provide a saved data monitoring method that can detect that an update operation has been interrupted even if the CPU is reset and starts from an initial state.

Add the added value of the data string to the data string and save it.
Compare the added value of the saved data string with the added value of the saved data string, and if they are equal, the saved data string is correct, and when updating the saved data string, the data In the saved data monitoring method, which updates data sequentially starting from the first data in a column, when updating a saved data column, do so as shown in Figure 1.

That is, the monitoring data, which is the sum of the data strings saved in step 1, is changed, the data strings saved in step 2 are updated sequentially starting from the first data, and step 3
When the update is completed in step 4, the added value of the updated data string is calculated, and in step 4, the calculated added value is saved as the added value of the data string, that is, as monitoring data.

[For production]

According to the present invention, when updating a stored data string, the monitoring data, which is the sum of the data strings saved in step 1 in FIG. 1, is changed and saved in step 2. Since data is updated sequentially starting from the first data in a saved data column, when updating part of a saved data column to data with a different value, the order in which the data is updated to data with a different value is Even if the CPU is reset and starts from the initial state due to a problem such as an abnormality in the CPU before it is updated, the added value of the saved data string can be updated. When , it is found that the data is not part of the monitored data of the changed addition value, so it is found that the data is abnormal and the update has been interrupted.

In addition, even if some of the data has been updated to a different value, and the above update is not performed, when calculating the added value of the saved data string, it will be the same as in the previous case. , it is not part of the monitoring data of the changed additional value, so it is clear that the data is abnormal and the update has been interrupted.

Furthermore, if the update is carried out smoothly to the end, the added value of the updated data string is calculated in step 3 of FIG. 1, and the calculated added value is added to the added value of the data string in step 4. Since it is saved as monitoring data, if you check the saved data string in the same way as before, it will be determined that the saved data string is normal if it is correct because the update has not been interrupted.

〔Example〕

An embodiment of the present invention will be described below with reference to the accompanying drawings.

FIG. 2 is a flowchart of a program for the saved data monitoring method according to the embodiment of the present invention.

As shown in Figure 2 (C), the saved data string is D.
If the monitoring data is S in 1 to D256, data DI00
~ D256 has different values of D'lOO as shown in (D) ~
The case of updating to D'256 will be explained below as an example.

When updating the stored data string, use the program shown in (A).

That is, in order to change the monitoring data S in step 1, S
-1=S'', and in step 2 save S to the monitoring data area.
'', and in step 3, sequentially update data D1 to D99 from the first data Di to D99 with the same value, and
Data from I00 to D256 have different values D' from 100 to
D'' is updated to 256, and in step 4, an additional value S' is obtained by adding the new data string.

Then, in step 5, S' is saved as new monitoring data in the monitoring data area.

In this case, for example, data D99 is replaced with data D99 of the same value.
Suppose that at the stage where the data has been updated, that is, when it is not the turn to update the data to a different value, the CPU becomes abnormal, etc., and the CPU is reset and starts from the initial state, and the update is no longer performed. .

Here, the data strings saved in step 1 of the conventional monitoring program shown in (B) are added together to obtain an additional value S.
Determine "°, and compare the added value S" with the monitoring data using the steering knob 2.

Then, if all the updates have been completed, the added value S'' will match the monitoring data S' and will be judged as normal, but if the update is interrupted and no longer updated before the data is updated to a different value, then The added value S"" becomes S, and S-1
If you compare it with the value of “=S”, there is no match, so step 3
The stored data string is determined to be abnormal, indicating that the stored data string was not updated and the update was interrupted.

In addition, even if some of the data has been updated to a different value, and the above update is not performed, when calculating the added value of the saved data string, it will be the same as in the previous case. , it does not match the monitoring data of the changed additive γ value, so it can be seen that the data is abnormal and the update is interrupted.

〔Effect of the invention〕

As explained in detail above, according to the present invention, when updating a part of saved data to data with a different value, the CPU becomes abnormal, etc. when it is not the turn to update the data with a different value. Even if the CI'U is reset and the update is no longer performed because of the initial state, it is possible to know that the update has been interrupted.

[Brief explanation of the drawing]

Fig. 1 is a flowchart of the principle of the present invention, Fig. 2 is a flowchart of a program of a saved data monitoring method according to an embodiment of the present invention, and Fig. 3 is a flowchart of a program of a saved data monitoring method of a conventional example. The figure is an explanatory diagram of the state of updating a data string in a conventional example. In the figure, 10 is a processor, 11 is a RAM, 12 is a ROM, and 13 is a file.

Claims (1)

[Claims] A summation value of a data string is added to the data string and saved,
Compare the added value of the saved data string with the added value of the saved data string, and if they are equal, the saved data string is correct, and when updating the saved data string, the data In the saved data monitoring method that sequentially updates data from the first data in a column, when updating a saved data column, change the added value of the saved data column (1) and update the saved data column. The data is updated sequentially from the first data (2), and when the update is completed, the added value of the updated data string is calculated (3), and the calculated added value is saved as the added value of the data string (4). A stored data monitoring method characterized by: