JP2001041792A - Self-diagnostic device of gas meter - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a self-diagnostic device of gas meter capable of detecting an abnormal state generated within a gas meter. SOLUTION: This device is formed of a flow rate measuring means 21 arranged within a gas passage to measure the gas flow rate, a pressure measuring means 22 arranged in the meter outlet part 20 of a gas meter to measure the gas pressure at the meter outlet, a control means 23 for starting the pressure measuring means 22, a pressure value memory means 24 for storing the pressure value measured by the pressure measuring means, a bias determination means 23-1 started by the control means to determine whether the difference (bias) between the maximum value and minimum value of the measured pressure values stored in the pressure value memory means 24 is higher than a preset regulated value or not, and an alarm means 25 for performing an alarm processing when the bias is determined higher than the regulated value by the bias determination means 23-1.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a self-diagnosis device for a gas meter.

[0002]

2. Description of the Related Art Conventionally, as a function of a gas meter, although a pressure monitoring function of a gas flow path is mounted, a main function is a gas leak monitoring, an adjustment pressure monitoring, and a closing pressure monitoring.
The main purpose is to confirm the safety of the gas supply system. At present, a self-diagnosis device that monitors an abnormality of the gas meter itself by pressure monitoring is not mounted.

[0003]

The pressure inside the meter is
Due to its mechanical structure, it is not always stable even at a constant flow rate. The difference between the maximum value and the minimum value of gas pressure fluctuation inside the gas meter due to the movement of the membrane in a gas meter, especially a membrane gas meter, is usually within a specified value (for example, 50 Pascal). Occurs, especially when the internal mechanical mechanism is abnormal and normal driving is not performed, the abnormal part becomes an obstacle and pressure fluctuation occurs, so the pressure fluctuation is large even at a constant flow rate (The state of the big fan) occurs. In order to catch this frustration, it is necessary to monitor the pressure at the meter outlet side.

However, the conventional gas meter monitors the pressure at the inlet of the meter to monitor the outlet pressure of the pressure regulator installed on the upstream side of the gas meter. There is a problem that it is not possible to detect an abnormal situation occurring inside the gas meter.

[0005] In addition, in terms of security, there is a possibility that a situation in which the flow rate should be cut off may not occur due to the occurrence of the abnormal measurement state.

Further, even when an abnormality is detected, there is a problem that there is no element for examining when such an abnormality has occurred and what tendency it has.

An object of the present invention is to provide a gas meter self-diagnosis device capable of detecting an abnormal state occurring inside the gas meter.

[0008]

SUMMARY OF THE INVENTION In view of the above object, a self-diagnosis device for a gas meter according to the present invention is arranged in a gas flow path as shown in a functional block diagram of FIG. A flow rate measuring means 21 for measuring a flow rate, a pressure measuring means 22 arranged at a meter outlet 20 of the gas meter for measuring a gas pressure at a meter outlet, a control means 23 for activating the pressure measuring means 22, The pressure value storage means 24 for storing the pressure value measured by the means 22 and the difference between the maximum value and the minimum value of the measured pressure values which are activated by the control means 23 and stored in the pressure value storage means 24 ) Is greater than or equal to a predetermined value set in advance, and the tilting determination unit 23-1 and the tilting determination unit 23-2 determine that the tilt is greater than or equal to the specified value. Characterized by comprising from the alarm means 25 (and 26) for performing a warning process.

In the first aspect of the present invention, the flow rate measuring means 21 is disposed in the gas flow path, and measures the gas flow rate. The pressure measuring means 22 is provided at the meter outlet 2 of the gas meter.
0 and measures the gas pressure at the meter outlet. The control unit 23 activates the pressure measurement unit 22. The pressure value storage means 24 stores the pressure value measured by the pressure measurement means 22. The flare judging means 23-1 includes the control means 2
3 is started, and it is determined whether or not the difference (fanning) between the maximum value and the minimum value of the measured pressure values stored in the pressure value storage means 24 is equal to or greater than a preset specified value. Alarm means 25
In (and 26), an alarm process is performed when the tilt determination unit 23-2 determines that the tilt is equal to or greater than the specified value.

According to a second aspect of the present invention, as shown in the functional block diagram of FIG. 2, in the self-diagnosis device for a gas meter according to the first aspect, the tilting determination means 23-1 determines that the tilting is equal to or more than the specified value. A counting unit 23-2 for counting the number of abnormalities determined to be present; an alarm determining unit 23-3 for detecting that the number of abnormalities counted by the counting unit 23-2 has reached a predetermined number of determinations; The alarm means 25 (and 26) includes the alarm determination means 23
-3, when it is detected that the number of abnormalities counted by the counting means 23-2 has reached a predetermined number of determinations, an alarm process is performed.

In the invention described in claim 2, the counting means 23-2 counts the number of abnormalities in which the tilting determination means 23-1 determines that the tilting is equal to or more than a specified value. The alarm determination unit 23-3 detects that the number of abnormalities counted by the counting unit 23-2 has reached a predetermined number of determinations. The warning means 25 (and 26) is
When it is detected that the number of abnormalities counted by the counting means 23-2 by -3 has reached a predetermined number of determinations, an alarm process is performed.

The self-diagnosis device for a gas meter according to the third aspect of the present invention, as shown in the functional block diagram of FIG.
A flow rate determining means 23-4 for determining a flow rate category based on a flow rate detection signal from the flow rate measuring means 21; and a pressure measuring means disposed at a meter outlet 20 of the gas meter and measuring a gas pressure at the meter outlet. 22, a control means 23 for activating the pressure measurement means 22, a pressure value storage means 24 for storing a pressure value measured by the pressure measurement means 22, and a pressure value storage means activated by the control means 23 The difference (fanning) between the maximum value and the minimum value of the measured pressure value stored in 24 is determined by the flow rate classifying means 23-4.
The fanning determination unit 23-1 that determines whether or not the flow rate is equal to or more than a predetermined value for each flow rate category corresponding to the specific flowrate category determined in the above, and the fanning is performed by the fanning determination unit 23-1. It is characterized by comprising an alarming means 25 (and 26) for performing an alarming process when it is determined that it is equal to or more than the specified value for each flow rate category.

According to the third aspect of the present invention, the flow rate measuring means 21 is arranged in the gas flow path and measures the gas flow rate. The flow rate classification determining means 23-4 determines the flow rate classification based on the flow rate detection signal from the flow rate measuring means 21. The pressure measuring means 22 is disposed at the meter outlet 20 of the gas meter, and measures the gas pressure at the meter outlet. The control unit 23 activates the pressure measurement unit 22. The pressure value storage means 24 stores the pressure value measured by the pressure measurement means 22. The lift determination means 23-1 is started by the control means 23, and the difference (lift) between the maximum value and the minimum value of the measured pressure values stored in the pressure value storage means 24 is determined by the flow rate classification determination means 23.
It is determined whether or not the value is equal to or more than a predetermined value for each flow rate category set in advance corresponding to the specific flow rate category determined in -4. The warning unit 25 (and 26) performs a warning process when the lifting determination unit 23-1 determines that the lifting is equal to or more than the specified value for each flow rate category.

According to a fourth aspect of the present invention, as shown in the functional block diagram of FIG. 4, in the gas meter self-diagnosis apparatus according to the third aspect, the tilt is determined by the tilt determination means 23-1 according to the flow rate classification. Counting means 23-2 for counting the number of abnormalities determined to be greater than or equal to the value;
Alarm determination means 23-3 for detecting that the number of abnormalities counted by 3-2 has reached a predetermined number of determinations, wherein the alarm means 25 (and 26) includes the alarm determination means 23-3. The alarm processing is performed when it is detected that the number of abnormalities counted by the counting means 23-2 reaches a predetermined number of times.

In the invention described in claim 4, the counting means 23-2 counts the number of abnormalities in which the tilting determination means 23-1 determines that the tilting is equal to or more than the specified value for each flow rate category. The alarm determination unit 23-3 detects that the number of abnormalities counted by the counting unit 23-2 has reached a predetermined number of determinations. The warning unit 25 (and 26) performs a warning process when the warning determination unit 23-3 detects that the number of abnormalities counted by the counting unit 23-2 has reached a predetermined determination number.

The self-diagnosis device for a gas meter according to the fifth aspect of the present invention, as shown in the functional block diagram of FIG.
Pressure measuring means 22 arranged at the meter outlet 20 of the gas meter and measuring gas pressure at the meter outlet;
A control means 23 for activating the pressure measurement means 22 while calculating an appropriate tilt corresponding to the flow rate detection signal from the flow rate measurement means 21 and a pressure value storage for storing the pressure value measured by the pressure measurement means 22 Means 24 and whether or not the difference (fanning) between the maximum value and the minimum value of the measured pressure value stored in the pressure value storage means 24 is greater than or equal to the calculated proper tilting, which is started by the control means 23. And a warning means 25 (and 26) for performing an alarm process when the lifting is determined to be equal to or more than the appropriate lifting by the lifting determination means 23-2. It is characterized by.

According to the fifth aspect of the present invention, the flow rate measuring means 21 is arranged in the gas flow path and measures the gas flow rate. The pressure measuring means 22 is provided at the meter outlet 2 of the gas meter.
0 and measures the gas pressure at the meter outlet. The control means 23 calculates an appropriate tilt corresponding to the flow rate detection signal from the flow rate measuring means 21 and activates the pressure measuring means 22. The pressure value storage means 24 stores the pressure value measured by the pressure measurement means 22. Fanning determination means 2
Step 3-1 is started by the control unit 23 and determines whether or not the difference (fanning) between the maximum value and the minimum value of the measured pressure values stored in the pressure value storage unit 24 is equal to or greater than the calculated proper fanning. . The warning means 25 (and 26) is a
If it is determined in 3-2 that the level is higher than the appropriate level, an alarm process is performed.

According to a sixth aspect of the present invention, as shown in the functional block diagram of FIG. 6, in the self-diagnosis device for a gas meter according to the fifth aspect, the tilting determination means 23-1 determines that the tilting exceeds the proper tilting. A counting unit 23-2 for counting the number of abnormalities determined to be present; an alarm determining unit 23-3 for detecting that the number of abnormalities counted by the counting unit 23-2 has reached a predetermined number of determinations; The alarm means 25 (and 26) includes the alarm determination means 2
An alarm process is performed when it is detected that the number of abnormalities counted by the counting means 23-2 reaches a predetermined number of determinations according to 3-3.

In the invention according to claim 6, the counting means 23-2 counts the number of abnormalities in which the tilting determination means 23-1 determines that the tilting is equal to or more than the proper tilting. The alarm determination unit 23-3 detects that the number of abnormalities counted by the counting unit 23-2 has reached a predetermined number of determinations. The warning means 25 (and 26) is a
When it is detected by 3-3 that the number of abnormalities counted by the counting means 23-2 has reached a predetermined number of determinations, an alarm process is performed.

The self-diagnosis device for a gas meter according to the present invention, as shown in the functional block diagram of FIG. 7, is disposed in a gas flow path and measures a gas flow rate.
A flow rate determining means 23-1 for determining a flow rate category based on a flow rate detection signal from the flow rate measuring means 21; and a pressure measuring means disposed at a meter outlet 20 of a gas meter and measuring gas pressure at a meter outlet. 22, a control means 23 for activating the pressure measurement means 22, a pressure value storage means 24 for storing the pressure value measured by the pressure measurement means 22, and a flow rate measurement means 21 for a certain learning period.
A learning data storage means 24-1 for storing, as learning data, a flow rate detection signal from the pressure sensor and a difference (elevation) between the maximum value and the minimum value of the pressure value from the pressure measuring means 22 corresponding to the flow rate detection signal. Based on the learning data analyzing means 23-5 for analyzing the learning data stored in the learning data storing means 24-1 and the analysis result of the learning data analyzing means 23-5, appropriate flow rate setting for each flow rate section is set. The appropriate tilt setting means 23-6 is compared with the appropriate tilt for each flow rate section and the tilt stored in the pressure value storage means to determine whether the tilt is equal to or more than the correct tilt for each flow rate. It is characterized by comprising a fanning determination unit 23-1 and an alarming unit 25 (and 26) for performing an alarm process when the fanning is determined by the fanning determination unit 23-1 to be equal to or more than the appropriate fanning. That.

In the present invention, the flow rate measuring means 21 is disposed in the gas flow path and measures the gas flow rate. The flow rate classification determining means 23-1 determines the flow rate classification based on the flow rate detection signal from the flow rate measuring means 21. The pressure measuring means 22 is disposed at the meter outlet 20 of the gas meter, and measures the gas pressure at the meter outlet. The control unit 23 activates the pressure measurement unit 22. The pressure value storage means 24 stores the pressure value measured by the pressure measurement means 22. During a certain learning period, the learning data storage unit 24-1 calculates the difference between the flow rate detection signal from the flow rate measurement unit 21 and the maximum value and the minimum value of the pressure value from the pressure measurement unit 22 corresponding to the flow rate detection signal. (Faning) is saved as learning data. The learning data analysis unit 23-5 analyzes the learning data stored in the learning data storage unit 24-1. The proper flutter setting means 23-6 is provided with a learning data analyzing means 23-.
Based on the analysis result of 5, the appropriate flow rate is set for each flow rate category. The fanning determination unit 23-1 compares the proper fanning for each flow rate category with the fanning stored in the pressure value storage unit, and determines whether the fanning is equal to or more than the proper fanning for each flowrate category. The warning unit 25 (and 26) performs an alarm process when the lifting determination unit 23-1 determines that the lifting is equal to or more than the appropriate lifting.

According to an eighth aspect of the present invention, in the gas meter self-diagnosis device according to the seventh aspect, the tilt determination means 2 is provided.
A counting means 23-2 for counting the number of abnormalities determined by 3-1 to be equal to or more than the appropriate tilting, and the number of abnormalities counted by the counting means 23-2 reaches a predetermined number of determinations. Alarm determination means 23 for detecting that
The alarm means 25 (and 26) detects that the number of abnormalities counted by the counting means 23-2 by the alarm judging means 23-3 has reached a predetermined judgment number. In this case, an alarm process is performed in the event of a failure.

In the invention described in claim 8, the counting means 23-2 counts the number of abnormalities in which the tilt determination section 23-1 determines that the tilt is equal to or more than the appropriate tilt. The alarm determination unit 23-3 detects that the number of abnormalities counted by the counting unit 23-2 has reached a predetermined number of determinations. The warning means 25 (and 26) is a
When it is detected by 3-3 that the number of abnormalities counted by the counting means 23-2 has reached a predetermined number of determinations, an alarm process is performed.

A self-diagnosis device for a gas meter according to a ninth aspect of the present invention is provided with a flow rate measuring means 21 which is disposed in a gas flow path and measures a gas flow rate, as shown in the functional block diagrams of FIGS. Flow section determining means 2 for determining the flow section based on the flow detection signal from the flow measuring means 21
3-4, located at the meter outlet 20 of the gas meter,
Pressure measuring means 2 for measuring gas pressure at the meter outlet
2 and control means 23 for activating the pressure measuring means 22
A pressure value storage means 24 for storing a pressure value measured by the pressure measurement means 22; a flow rate detection signal from the flow rate measurement means 21 for a certain learning period; Learning data storage means 24-1 for storing the difference (fluctuation) between the maximum value and the minimum value of the pressure value from the pressure measurement means 22 as learning data, and the learning data stored in the learning data storage means 24-1 Learning data analyzing means 23-5 for analyzing the
Based on the analysis result of -5, the appropriate tilt setting means 23-6 for setting the appropriate tilt for each flow rate section is compared with the correct tilt for each flow rate section and the tilt stored in the pressure value storage means 24. When the fanning is determined by the fanning determining unit 23-1 and the fanning determining unit 23-1 to determine whether the fanning is equal to or more than the proper fanning by flow rate category, Alarm means 25 for performing alarm processing
(And 26), the control means 23 instructs, when a flow rate section in which an appropriate pressure is not set at the time of learning occurs, a re-learning operation for setting an appropriate pressure corresponding to the flow rate section. Features.

According to the ninth aspect of the present invention, the flow rate measuring means 21 is arranged in the gas flow path and measures the gas flow rate. The flow rate classification determining means 23-4 determines the flow rate classification based on the flow rate detection signal from the flow rate measuring means 21. The pressure measuring means 22 is disposed at the meter outlet 20 of the gas meter, and measures the gas pressure at the meter outlet. The control unit 23 activates the pressure measurement unit 22. The pressure value storage means 24 stores the pressure value measured by the pressure measurement means 22. During a certain learning period, the learning data storage unit 24-1 calculates the difference between the flow rate detection signal from the flow rate measurement unit 21 and the maximum value and the minimum value of the pressure value from the pressure measurement unit 22 corresponding to the flow rate detection signal. (Faning) is saved as learning data. The learning data analysis unit 23-5 analyzes the learning data stored in the learning data storage unit 24-1. The proper flutter setting means 23-6 is provided with a learning data analyzing means 23-.
Based on the analysis result of 5, the appropriate flow rate is set for each flow rate category. The fanning determination unit 23-1 compares the proper fanning for each flow rate category with the fanning stored in the pressure value storage unit 24 to determine whether the fanning is equal to or more than the proper fanning for each flowrate category. The warning unit 25 (and 26) performs an alarm process when the lifting determination unit 23-1 determines that the lifting is equal to or more than the appropriate lifting. When a flow rate section in which an appropriate pressure is not set at the time of learning occurs, the control unit 23 instructs a re-learning operation for setting an appropriate pressure corresponding to the flow rate section.

According to a tenth aspect of the present invention, in the gas meter self-diagnosis apparatus according to the ninth aspect, the control means 23 is provided.
When a specific signal is input based on a change in the use environment, the learning data stored in the learning data storage means 24-1 and the set appropriate tilting data are cleared, and the re-learning is forcibly started. It is characterized by doing.

In the tenth aspect of the present invention, when a specific signal is input based on a change in the use environment, the control means 23 sets the learning data stored in the learning data storage means 24-1 and the set learning data. Clear the appropriate data and start relearning forcibly.

The self-diagnosis device for a gas meter according to the present invention, as shown in the functional block diagram of FIG. 11, is disposed in a gas flow path and measures flow rate of gas, Flow rate determining means 23-4 for determining the flow rate category based on the flow rate detection signal from the means 21
Pressure measuring means 22 arranged at the meter outlet 20 of the gas meter and measuring gas pressure at the meter outlet;
Control means 23 for activating the pressure measuring means 22; pressure storing means 24-2 for storing a pressure detection signal from the pressure measuring means 22; and a specific flow rate section determined by the flow rate determining means 23-4. Is compared with the difference between the maximum value and the minimum value of the pressure value stored in the pressure value storage means (lifting), and the lift is equal to or more than the flow-rate-specific value. And a warning means 25 for performing an alarm process when the lifting is determined to be equal to or more than the specified value for each flow rate classification by the lifting determination means 23-1. 26), and a history storage means 24-2 for storing data related to the flutter generated during the period by a periodic command from the control means 23.

[0029] In the eleventh aspect, the flow rate measuring means 21 is disposed in the gas flow path and measures the gas flow rate. The flow rate classifying means 23-4 includes the flow rate measuring means 21.
The flow rate classification is determined based on the flow rate detection signal from. The pressure measuring means 22 is disposed at the meter outlet 20 of the gas meter, and measures the gas pressure at the meter outlet. The control unit 23 activates the pressure measurement unit 22. The pressure storage means 24-2 stores the pressure detection signal from the pressure measurement means 22. The lift determining means 23-1 determines the maximum value and the minimum value of the pressure value stored in the pressure value storage means 24 and the specified value for each flow rate category corresponding to the specific flow rate category determined by the flow rate category determining means 23-4. It is determined whether or not the difference is greater than or equal to the specified value for each flow rate category by comparing the difference (the difference). The warning unit 25 (and 26) performs a warning process when the lifting determination unit 23-1 determines that the lifting is equal to or more than the specified value for each flow rate category. The history storage means 24-2 stores, in accordance with a periodic command from the control means 23, data relating to the above-mentioned flutter occurring during the period.

[0030]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of a self-diagnosis device for a gas meter according to the present invention will be described below with reference to the drawings.

FIG. 12 is a schematic configuration diagram of a gas supply system including a gas meter in which the self-diagnosis device of the present invention is implemented. The gas supply system 10 is roughly divided into a gas container 11 containing a liquefied gas, a container valve 12 for controlling a flow rate of gas supplied from the gas container 11, and a pressure of gas flowing out of the gas container 11. Gas meter 15 described later
A pressure regulator 13 that adjusts (reduces pressure) so that the pressure at the meter outlet side corresponds to the reference pressure, a gas meter 15 that is connected to the pressure regulator 13 via a gas pipe 14, and integrates a gas passing volume. The burner 17 includes a combustor 17 for burning the converted gas into heat energy, and a gas cock 18 for supplying / cutting off the gas to the combustor 17.

The gas meter 15 has a flow rate measuring section 21 provided between the meter inlet section 19 and the meter outlet section 20 as a flow rate measuring section, and a pressure measuring section 22 provided as a pressure measuring section provided at the meter outlet section 20. , A control unit 23, a memory 24, a display unit 25 and a notification unit 26 as alarm means.

The flow rate measuring section 21 is composed of, for example, a membrane type flow meter, and detects the flow rate of the gas flowing through the gas pipe 14.
The flow rate detection signal is output to the control unit 23.

The pressure measuring section 22 detects the pressure of the gas at the meter outlet section 20 and outputs a pressure detection signal to the control section 23.

The control unit 23 is composed of, for example, a microcomputer, and receives a flow rate detection signal from the flow rate measurement unit 21 and
A pressure detection signal from the pressure measurement unit 22 is supplied, and based on the flow rate detection signal and the pressure detection signal, calculation and integration of a gas flow rate and monitoring of pressure fluctuation are performed.

Next, the general operation of the gas supply system having the above configuration will be described.

When the user twists the gas cock 18 to open the liquefied gas in the gas container 11, the flow rate of the liquefied gas in the gas container 11 is adjusted by the container valve 12, the pressure is reduced by the pressure regulator 13, and the liquefied gas passes through the gas pipe 14. The gas is supplied to the gas meter 15.

The flow meter 21 of the gas meter 15 measures the flow rate of the gas flowing through the gas pipe 14 and supplies a flow rate detection signal to the controller 23. The control unit 23 includes the flow measurement unit 21
The flow rate is calculated based on the flow rate detection signal, and the calculated flow rates are integrated to calculate the integrated flow rate. The integrated flow rate calculated by the control unit 23 is stored in the memory 24,
It is displayed on the display unit 25.

Next, the operation of the self-diagnosis device of the present invention will be described. The self-diagnosis is based on the control unit 23 determining the magnitude (difference) between the maximum value and the minimum value of the fluctuation of the pressure detection signal from the pressure measurement unit 22 provided at the meter outlet unit 20.

Even when the flow rate is constant, since the pressure at the outlet of the meter changes (pressure loss) depending on the magnitude of the flow rate, it is necessary to perform the measurement at a constant flow rate when measuring the tilt. When it is determined that the flow rate is constant, pressure sampling is performed during that period, and pressure data extraction is constantly performed. The maximum value and the minimum value of the pressure data are stored in the memory 24, and when the difference (fluctuation) exceeds a specified value (for example, within 50 Pascal), a state in which the gas flow is obstructed due to an abnormality in the meter. Judgment is made, a warning is displayed.

Therefore, the flow rate is measured by the flow rate measuring section 21. When a change in the flow rate occurs, the pressure at the outlet of the meter changes, and accurate measurement of the tilt cannot be performed. Therefore, the control unit 23 determines whether or not the flow rate is stable. The control unit 23 monitors the flow detection signal from the flow measurement unit 21, and determines that the flow is stable if the flow detection signal is constant for a predetermined period (for example, 5 minutes).

When the stable flow rate is confirmed, the control unit 23
It functions as control means for activating the pressure measurement unit 22 and causes the pressure measurement unit 22 to perform pressure sampling measurement (for example, once every two seconds) for a predetermined period. Next, the control unit 23
The pressure data, that is, the pressure value, supplied from the pressure measurement unit 22 is stored in the memory 24 as pressure value storage means. The memory 24 stores data having the highest pressure in the pressure data as the maximum value and data having the lowest pressure as the minimum value.

Next, when the pressure data is stored in the memory 24, the control unit 23 causes the memory 2
The maximum value and the minimum value of the pressure data stored in No. 4 are read out, the difference (that is, the tilt) is calculated, and compared with a predetermined value (for example, within 50 Pascal).
As a result of the comparison, if the tilt does not exceed the specified value, the control unit 23 determines that the gas meter is normal. On the other hand, if the above tilt is equal to or greater than the specified value, the control unit 23 estimates that the gas meter is abnormal, determines that there is a security problem (self-diagnosis), displays an alarm on the display unit 25, and issues a notification. A notification is sent to the outside (for example, a management center) via the unit 26.

Next, the above-described self-diagnosis operation will be described with reference to the flowchart of FIG. First, in step S1,
The flow rate is measured by the flow rate measuring unit 21, and then, in step S2
Then, the control unit 23 determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S2 is NO, the process proceeds to step S3, where the maximum value and the minimum value of the pressure data stored in the memory 24 are cleared.

If the answer to step S2 is yes (that is, if the flow rate is stable), then, in step S4, the pressure measurement unit 22 measures the pressure. Next, step S5
Then, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S5 is yes, the process proceeds to step S6, and if no, the process proceeds to step S7. In step S7, the maximum value of the previous pressure data stored in the memory 24 is updated to the maximum value of the current pressure data.

In step S6, the control unit 23 determines whether or not the measured pressure data P is larger than the minimum value of the pressure value previously stored in the memory 24. If the answer to step S6 is yes, the process returns to step S1, and if no, the process proceeds to step S8. In step S8, the memory 2
The minimum value of the previous pressure data stored in 4 is updated to the minimum value of the current pressure data.

Then, the process proceeds to a step S9, wherein the control unit 23
Reads the maximum value and the minimum value of the updated pressure data stored in the memory 24, calculates the difference (fanning), and calculates the difference between the maximum value and the minimum value (for example, 50).
Pascal) or not. If the answer to step S9 is no, it can be estimated that the gas meter is normal, so the process returns to step S1 to start the next self-diagnosis operation.
If the answer to step S9 is yes, the gas meter is assumed to be abnormal, and the process proceeds to step S10, where the control unit 23 performs an alarm process (display, notification).

Next, as another embodiment of the self-diagnosis device of the present invention, an embodiment will be described in which a counting process is added to the above-mentioned self-diagnosis operation to make the alarm judgment more reliable. In this embodiment, the maximum value of pressure data−the minimum value (= fan) of pressure data>
Each time the swinging specified value is reached, an abnormality counter (for example, built in the control unit 23, not shown here) serving as a counting means is set to +1. Next, the control unit 2
Numeral 3 serves as an alarm determining means for determining the number of abnormalities, and performs an alarm process when the number of abnormalities reaches a predetermined number of times (for example, 10 times).

The counting of the number of abnormalities may be performed by a “continuous counting method” in which the number of abnormalities is counted up when abnormalities are continuously detected, and the abnormal number counter is cleared when a normal pressure is detected. For example, a “cumulative counting method” that counts the cumulative number of abnormal times for 30 days) may be used.

Next, a self-diagnosis operation in another embodiment will be described with reference to a flowchart of FIG.

First, in step S11, the flow rate is measured by the flow rate measuring section 21, and then in step S12, the control section 23 is measured.
Determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S12 is no, the process proceeds to step S13 to clear the maximum value and the minimum value of the pressure data stored in the memory 24.

If the answer to step S12 is yes (that is, if the flow rate is stable), then step S14
Then, the pressure is measured by the pressure measuring unit 22. Next, at step S15, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S15 is yes, the process proceeds to step S16, and if no, the process proceeds to step S17. In step S17, the maximum value of the previous pressure data stored in the memory 24 is updated to the maximum value of the current pressure data.

In step S16, the control section 23 determines whether or not the measured pressure data P is larger than the minimum pressure value previously stored in the memory 24. If the answer to step S16 is yes, return to step S11,
If no, the process proceeds to step S18. In step S18, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Then, the process proceeds to a step S19, wherein the control unit 23
Reads the maximum value and the minimum value of the updated pressure data stored in the memory 24, calculates the difference (fanning), and calculates the difference between the maximum value and the minimum value (for example, 50).
Pascal) or not. If the answer to step S19 is no, then the process returns to step S11, and if yes, the process proceeds to step S20. In step S20, the abnormality counter is set to +1 and then in step S21,
The control unit 23 determines whether or not the number of abnormalities has reached a predetermined number of determinations (for example, 10). Step S
If the answer to 21 is no, then return to step S11; if yes, proceed to step S22. Step S2
In 2, the control unit 23 issues an alarm (display, report).

Next, as still another embodiment of the self-diagnosis device according to the present invention, the difference between the maximum value and the minimum value of the fluctuation of the pressure detection signal from the pressure measuring section 22 provided at the meter outlet section 20 (fanning). A description will be given of an embodiment in which the control unit 23 determines the size of each of the flow rates to perform the self-diagnosis operation.

Since the relationship between the flow rate and the flow rate has a stable characteristic, when the flow rate is registered, the normal flow rate (with a width based on the coefficient) for the flow rate is set and the outlet pressure is monitored. I do. At this time, even if the flow rate is constant (stable), the pressure at the outlet of the meter changes depending on the magnitude of the flow rate (pressure loss). When it is determined that the flow rate is constant, pressure sampling is performed during that period, and pressure data extraction is constantly performed. The maximum value and the minimum value of the pressure data are stored in the memory 24, and if the difference (fanning) exceeds a predetermined value set in advance for each flow rate category, a state in which the gas flow is obstructed due to an abnormality inside the meter. It is determined that an error has occurred, and a warning is displayed. The smaller the flow rate,
Since the fanning has the characteristic of increasing, monitoring the fanning for each flow rate section enables more accurate self-diagnosis.

In general, the flow rate versus tilt characteristics can be represented as shown in FIG. FIG. 16 shows the flow rate classification and the appropriate tilt determined based on FIG. FIG. 16 shows the relationship between the flow rate monitoring sections (for example, 1 to 13), the calorie (kcal), the gas flow rate (L / h), and the appropriate flow (Pa) corresponding to each flow rate section. The contents are stored in the memory 24 as a look-up table.

Therefore, the flow rate is measured by the flow rate measuring section 21, and the control section 23 looks up the flow rate section corresponding to the flow rate detection signal from the flow rate measuring section 21 in the lookup table corresponding to FIG. Judge based on the table. That is, the control unit 23 functions as a flow rate classification determination unit.

After determining the flow rate classification, the control unit 23
When a change in the flow rate occurs, the outlet pressure of the meter changes, and accurate measurement of the tilt cannot be performed. Therefore, it is determined whether or not the flow rate is stable. The control unit 23 monitors the flow rate detection signal from the flow rate measurement unit 21 and outputs the flow rate detection signal for a predetermined period (for example,
If it is constant for 5 minutes, it is determined that the flow rate is stable.

When the stability of the flow rate is confirmed, the control unit 23
It functions as control means for activating the pressure measurement unit 22 and causes the pressure measurement unit 22 to perform pressure sampling measurement (for example, once every two seconds) for a predetermined period. Next, the control unit 23
The pressure data, that is, the pressure value, supplied from the pressure measurement unit 22 is stored in the memory 24 as pressure value storage means. The memory 24 stores data having the highest pressure in the pressure data as the maximum value and data having the lowest pressure as the minimum value.

Next, when the pressure data is stored in the memory 24, the control unit 23 operates the memory 2
4, the maximum value and the minimum value of the pressure data stored in the memory 24 are read out, the difference (that is, the tilt) is calculated, and then the appropriate tilt corresponding to the flow rate section determined as described above is looked up in the look-up table of the memory 24. , And the above-described tilting is compared with the appropriate tilting for each flow rate category, that is, the specified value for each flow rate category. As a result, if the tilt does not exceed the specified value for each flow rate category, the control unit 23 determines that the gas meter is normal. On the other hand, if the above tilt is equal to or greater than the specified value for each flow rate category, the control unit 23 estimates that the gas meter is abnormal, determines that there is a security problem (self-diagnosis), and displays an alarm on the display unit 25. At the same time, a notification is made to the outside (for example, a management center) via the notification unit 26.

Next, the above-mentioned self-diagnosis operation will be described with reference to the flowchart of FIG. First, step S31
Then, the flow rate measurement is performed by the flow rate measurement unit 21, and then, in step S <b> 32, the control unit 23 corresponds to the flow rate division corresponding to the flow rate detection signal from the flow rate measurement unit 21 in FIG. 16 stored in the memory 24. The determination is made based on the lookup table. Next, in step S33, the control unit 23 determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S33 is no, the process proceeds to step S34 to clear the maximum value and the minimum value of the pressure data stored in the memory 24.

If the answer to step S33 is yes (that is, if the flow rate is stable), then step S35
Then, the pressure is measured by the pressure measuring unit 22. Next, at step S36, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S36 is yes, the process proceeds to step S37, and if no, the process proceeds to step S38. In step S38, the maximum value of the previous pressure data stored in the memory 24 is updated to the maximum value of the current pressure data.

In step S37, the control unit 23 determines whether or not the measured pressure data P is larger than the minimum pressure value previously stored in the memory 24. If the answer to step S37 is yes, the process returns to step S31,
If no, the process proceeds to step S39. In step S39, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Next, the process proceeds to step S40, where the control unit 23
Reads out the maximum value and the minimum value of the updated pressure data stored in the memory 24, calculates the difference (fanning), and this fanning is stored in the memory corresponding to the flow rate category determined as described above. It is determined whether the flow rate is appropriate or not, that is, whether the value is equal to or greater than the specified value for each flow rate category, which is read from the lookup table 24. If the answer to step S40 is NO, it can be estimated that the gas meter is normal, so the flow returns to step S31 to start the next self-diagnosis operation. If the answer to step S40 is yes, the gas meter is assumed to be abnormal, and the process proceeds to step S41, where the control unit 23 performs an alarm process (display, notification).

Next, as another embodiment of the self-diagnosis device of the present invention, an embodiment will be described in which a counting process is added to the above-mentioned self-diagnosis operation to make the alarm judgment more reliable. In this embodiment, the maximum value of pressure data−the minimum value (= fan) of pressure data>
Every time the flow rate reaches the specified value, the abnormality counter (for example, built in the control unit 23, not shown here) serving as a counting unit is set to +1. Next, the control unit 23 functions as an alarm determination unit that determines the number of abnormalities, and performs an alarm process when the number of abnormalities reaches a predetermined number of times (for example, 10 times).

The counting of the number of abnormalities may be performed by a “continuous counting method” in which the number of abnormalities is counted up when abnormalities are continuously detected, and the abnormal number counter is cleared when a normal pressure is detected. For example, a “cumulative counting method” that counts the cumulative number of abnormal times for 30 days) may be used.

Next, a self-diagnosis operation in another embodiment will be described with reference to a flowchart of FIG.

First, in step S51, the flow rate is measured by the flow rate measuring section 21, and then in step S52, the control section 23 is measured.
Determines the flow rate category corresponding to the flow rate detection signal from the flow rate measurement unit 21 based on the look-up table stored in the memory 24 and corresponding to FIG. Next, in step S53, the control unit 23 determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S53 is NO, the process proceeds to step S54, where the maximum value and the minimum value of the pressure data stored in the memory 24 are cleared.

If the answer to step S53 is yes (that is, if the flow rate is stable), then step S55
Then, the pressure is measured by the pressure measuring unit 22. Next, in step S56, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S56 is yes, the process proceeds to step S57, and if no, the process proceeds to step S58. In step S58, the maximum value of the previous pressure data stored in the memory 24 is updated to the maximum value of the current pressure data.

In step S57, the control section 23 determines whether or not the measured pressure data P is larger than the minimum pressure value previously stored in the memory 24. If the answer to step S57 is yes, the process returns to step S51,
If no, the process proceeds to step S59. In step S59, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Then, the process proceeds to a step S60, wherein the control unit 23
Reads out the maximum value and the minimum value of the updated pressure data stored in the memory 24, calculates the difference (fanning), and this fanning is stored in the memory corresponding to the flow rate category determined as described above. It is determined whether the flow rate is appropriate or not, that is, whether the value is equal to or greater than the specified value for each flow rate category, which is read from the lookup table 24. If the answer to step S60 is no, then the process returns to step S51, and if yes, the process proceeds to step S61. In step S61, the abnormality counter is incremented by one, and then in step S62, the control unit 23
Is the number of times the number of abnormalities is determined in advance (for example, 10
Times). If the answer to step S62 is no, then the process returns to step S51, and if yes, the process proceeds to step S63. In step S63, the control unit 23 issues a warning (display, report).

Next, as still another embodiment of the self-diagnosis device of the present invention, an embodiment in which a self-diagnosis operation is performed by calculating and setting an appropriate pressure corresponding to a specific flow rate without using a flow rate section. Will be described.

Since the relationship between the flow rate and the flow rate has a stable characteristic, when the flow rate is registered, the appropriate flow rate for the specific flow rate is derived by a mathematical formula, and the derived value is used as a reference value to determine the meter outlet pressure. To monitor. At this time, even if the flow rate is constant, since the pressure at the outlet of the meter changes depending on the magnitude of the flow rate (pressure loss), the flow rate is fixed and the influence of the pressure loss on the flow rate change is removed during tilt measurement. There is a need. When it is determined that the flow rate is constant, pressure sampling is performed during that period, and pressure data extraction is constantly performed. The maximum value and the minimum value of the pressure data are stored in the memory 24, and if the difference (fanning) exceeds the above-mentioned reference value, it is determined that an abnormality in the meter has caused a state of obstructing the gas flow. Judge and perform warning display. By setting the proper tilting using a mathematical formula, the tilting for each specific flow rate can be confirmed, and more accurate self-diagnosis can be performed.

In general, the flow rate versus tilt characteristics can be represented as shown in FIG. Therefore, the flow rate is measured by the flow rate measuring unit 21. The control unit 23 determines the magnitude of the flow rate based on the flow rate detection signal from the flow rate measurement unit 21, and then determines the appropriate tilting corresponding to the specific flow rate by using a mathematical formula derived from the tilting characteristic curve of FIG. 15. calculate. That is, the control unit 23 functions as a proper tilt calculating unit.

Next, when a change in the flow rate occurs, the pressure at the outlet of the meter changes, and accurate measurement of the tilt cannot be performed. Therefore, the controller 23 determines whether or not the flow rate is stable. Control unit 23
Monitors the flow rate detection signal from the flow rate measurement unit 21 and determines that the flow rate is stable if the flow rate detection signal is constant for a predetermined period (for example, 5 minutes).

When the stability of the flow rate is confirmed, the control unit 23
It functions as control means for activating the pressure measurement unit 22 and causes the pressure measurement unit 22 to perform pressure sampling measurement (for example, once every two seconds) for a predetermined period. Next, the control unit 23
The pressure data, that is, the pressure value, supplied from the pressure measurement unit 22 is stored in the memory 24 as pressure value storage means. The memory 24 stores data having the highest pressure in the pressure data as the maximum value and data having the lowest pressure as the minimum value.

Next, when the pressure data is stored in the memory 24, the control unit 23 operates the memory 2
The maximum value and the minimum value of the pressure data stored in No. 4 are read out, the difference (that is, the tilt) is calculated, and compared with the appropriate tilt calculated by the formula as described above. As a result of the comparison, if the above-mentioned tilt does not exceed the appropriate tilt, the control unit 23
Determines that the gas meter is normal. On the other hand, if the above-mentioned tilting is equal to or more than the appropriate tilting, the control unit 23 estimates that the gas meter is abnormal, determines that there is a security problem (self-diagnosis), displays an alarm on the display unit 25, and issues a notification. A notification is sent to the outside (for example, a management center) via the unit 26.

Next, the above-mentioned self-diagnosis operation will be described with reference to the flowchart of FIG. First, step S71
Then, the flow rate is measured by the flow rate measuring unit 21, and then, in step S 72, the control unit 23 specifies the magnitude of the flow rate based on the flow rate detection signal from the flow rate measuring unit 21, and then adjusts the flow rate corresponding to the specific flow rate. The fanning is calculated using an equation derived from the fanning characteristic curve of FIG. Next, in step S73, the control unit 23 determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S73 is NO, the process proceeds to step S74, where the maximum value and the minimum value of the pressure data stored in the memory 24 are cleared.

If the answer to step S73 is yes (that is, if the flow rate is stable), then step S75
Then, the pressure is measured by the pressure measuring unit 22. Next, at step S76, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S76 is yes, the process proceeds to step S77, and if no, the process proceeds to step S78. In step S78, the maximum value of the previous pressure data stored in the memory 24 is updated to the current maximum value of the pressure data.

In step S77, the control unit 23 determines whether or not the measured pressure data P is larger than the minimum pressure value previously stored in the memory 24. If the answer to step S77 is yes, the process returns to step S71,
If no, the process proceeds to step S79. In step S79, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Then, the process proceeds to a step S80, wherein the control unit 23
Reads the maximum value and the minimum value of the updated pressure data stored in the memory 24, calculates the difference (fanning), and this fanning is equal to or more than the proper fanning calculated using the mathematical formula as described above. It is determined whether or not. If the answer to step S80 is NO, it can be estimated that the gas meter is normal, so the flow returns to step S71 to start the next self-diagnosis operation. If the answer to step S80 is yes, the gas meter is assumed to be abnormal, and the process proceeds to step S81, where the control unit 23
Performs alarm processing (display, notification).

Next, as another embodiment of the self-diagnosis device of the present invention, an embodiment will be described in which a counting process is added to the above-mentioned self-diagnosis operation to make the alarm judgment more reliable. In this embodiment, the maximum value of pressure data−the minimum value (= fan) of pressure data>
Each time (appropriate tilt calculated by the formula) is reached, the abnormality counter (for example, built in the control unit 23, not shown here) serving as a counting means is set to +1. Next, the control unit 23 functions as an alarm determination unit that determines the number of abnormalities, and performs an alarm process when the number of abnormalities reaches a predetermined number of times (for example, 10 times).

The count of the number of abnormalities may be performed by a “continuous counting method” in which the number of abnormalities is counted up when abnormalities are continuously detected and the abnormal number counter is cleared when a normal pressure is detected. For example, a “cumulative counting method” that counts the cumulative number of abnormal times for 30 days) may be used.

Next, a self-diagnosis operation in another embodiment will be described with reference to a flowchart of FIG.

First, in step S91, the flow rate is measured by the flow rate measuring section 21, and then in step S92, the control section 23 is measured.
Calculates the flow rate based on the flow rate detection signal from the flow rate measurement unit 21 and then calculates the appropriate tilting corresponding to the specific flow rate using an equation derived from the tilting characteristic curve of FIG. Next, in step S93, the control unit 23
Determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S93 is NO, the process proceeds to step S94, and the maximum value and the minimum value of the pressure data stored in the memory 24 are cleared.

If the answer to step S93 is yes (that is, if the flow rate is stable), then step S95
Then, the pressure is measured by the pressure measuring unit 22. Next, at step S96, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S96 is yes, the process proceeds to step S97, and if no, the process proceeds to step S98. In step S98, the maximum value of the previous pressure data stored in the memory 24 is updated to the maximum value of the current pressure data.

In step S97, the control unit 23 determines whether or not the measured pressure data P is larger than the minimum pressure value previously stored in the memory 24. If the answer to step S97 is yes, the process returns to step S91,
If no, the process proceeds to step S99. In step S99, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Then, the process proceeds to a step S100, where the control unit 2
3 reads out the maximum value and the minimum value of the updated pressure data stored in the memory 24, calculates the difference (fanning), and this fanning is the proper fanning calculated using the mathematical formula as described above. It is determined whether or not this is the case. If the answer to step S100 is no, the process returns to step S91. If yes, the process proceeds to step S101. In step S101,
The abnormality counter is set to +1 and then step S10
In 2, the control unit 23 determines whether or not the number of abnormalities has reached a predetermined number of determinations (for example, 10). If the answer to step S102 is no, then step S9
Returning to 1, if yes, proceed to step S103. In step S103, the control unit 23 issues a warning (display, report).

Next, as still another embodiment of the self-diagnosis device of the present invention, by monitoring the fluctuation of the pressure at the outlet of the meter with respect to the prescribed value for each flow rate division and the flow rate division determined by learning, An embodiment for performing a self-diagnosis will be described.

In this embodiment, in consideration of the fact that the tilting characteristic may change depending on the combination of the pressure regulator and each gas meter at each flow rate in the gas meter, an appropriate tilting setting by learning is performed. Since the meter outlet pressure changes (pressure loss) depending on the magnitude of the flow rate even when the flow rate is constant (stable), it is necessary to measure the flow rate while keeping the flow rate constant. When it is determined that the flow rate is constant, pressure sampling is performed during that period, and pressure data extraction is constantly performed.

Learning is performed during a certain period (for example, 3
(Day 0) is measured, and the method is used to set a proper tilting for each flow rate section from the measured data (multiplied by a safety factor in some cases). The presence or absence of an abnormal value of the fanning for the proper fanning set here is monitored.

After the learning is completed, the maximum value and the minimum value of the pressure data are stored. If the difference (fan) exceeds the specified value according to the flow rate category, an abnormality in the meter causes
It is determined that a state that hinders the flow of gas has occurred, and an alarm process (display, notification) is performed. By performing the learning, the tilting can be monitored according to the characteristics of each gas meter, and an accurate self-diagnosis can be performed.

In general, the flow rate versus tilt characteristics can be represented as shown in FIG. FIG. 16 shows the flow rate classification and the appropriate tilt determined based on FIG. FIG. 16 shows the relationship between the flow rate monitoring sections (for example, 1 to 13), the calorie (kcal), the gas flow rate (L / h), and the appropriate flow (Pa) corresponding to each flow rate section. The contents are stored in the memory 24 as a look-up table.

Then, when the flow rate is detected by the flow rate measuring section 21, the control section 23 starts learning. Control unit 23
Determines the flow rate section corresponding to the flow rate detection signal from the flow rate measurement unit 21 based on the look-up table stored in the memory 24 and corresponding to FIG. That is,
The control unit 23 functions as a flow rate classification determination unit.

After determining the flow rate classification, the control unit 23
It is determined whether the flow rate is stable. When it is determined that the flow rate is stable, the control unit 23 functions as a control unit that starts the pressure measurement unit 22 and causes the pressure measurement unit 22 to perform pressure sampling measurement. The pressure data as the pressure sampling result by the pressure measuring unit 22, that is, the pressure value is stored in the memory 24 as pressure value storage means. Memory 24
Stores the highest pressure data in the pressure data as the maximum value and the lowest pressure data as the minimum value.

On the other hand, when the pressure data is stored in the memory 24, the control means 23 performs a tilting calculation based on the pressure data in the memory 24, and determines the difference between the maximum value and the minimum value of the calculated pressure data in the flow rate classification. The data is stored in the memory 24 functioning as learning data storage means as another data.
When the learning period ends, the control unit 23 functions as learning data analysis means, reads and analyzes the learned tilting data from the memory 24, and derives and sets appropriate tilting for each flow rate section.

After the learning, the control unit 23 serves as a tilt determining means for monitoring the tilt based on the pressure data measured by the pressure measuring unit 22 based on the appropriate tilt determined for each flow rate derived as described above. work. When the above-mentioned tilting exceeds the reference value, the control unit 23 determines that there is an abnormality and there is a security problem, displays an alarm on the display unit 25, and outputs an alarm (for example, , Management center).

As for the flow rate that could not be observed during the learning period, based on the table shown in FIG. Set as

Next, the above-mentioned self-diagnosis operation will be described with reference to the flowcharts of FIGS.

The learning operation is performed based on the flowchart shown in FIG. First, in Step S151, when the flow rate measurement by the flow rate measuring unit 21 is detected, Step S1
At 52, the control unit 23 starts a learning timer (for example, built in the control unit 23 and not shown here) for setting a learning period (for example, 30 days). Next, in step 153, the control unit 23 determines whether the learning timer has timed out. Step S153
If the answer is no, the process proceeds to step S154, and if yes, the process proceeds to step S165.

In step S154, the control section 23 determines whether or not there is a flow rate based on the flow rate detection signal from the flow rate measurement section 21. If the answer is no, the control section 23 proceeds to step S153.
And if yes, go to step S155. In step S155, the control unit 23 determines the flow rate section corresponding to the flow rate detection signal based on the look-up table stored in the memory 24 and corresponding to FIG.

After determining the flow rate classification, the control unit 23
In step S156, it is determined whether the flow rate is stable. If the flow rate is not stable, the process proceeds to step S157 to clear the maximum value and the minimum value of the pressure data stored in the memory 24, and then returns to step S153. If it is determined in step S156 that the flow rate is stable, the process proceeds to step S158, where the control unit 23 activates the pressure measurement unit 22 and performs pressure sampling measurement. Next, in step S159, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S159 is yes, the process proceeds to step S160, and if no, the process proceeds to step S161. In step S161, the maximum value of the previous pressure data stored in the memory 24 is updated to the current maximum value of the pressure data.

In step S160, the control section 23 determines whether or not the measured pressure data P is larger than the minimum pressure value previously stored in the memory 24. If the answer to step S160 is yes, the process returns to step S153; otherwise, the process proceeds to step S162. Step S
At 162, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Next, the process proceeds to step S163, where the control unit 2
3 reads the maximum value and the minimum value of the updated pressure data stored in the memory 24, and calculates the difference (fanning) between them. Next, in step S164, the control unit 23 registers the difference (rotation) data as learning data in the memory 24 as learning data storage means. Next, when the learning period ends, the process proceeds to step S165, where the control unit 23
The learning data read from the memory 24 is read and analyzed.

Next, the data analysis work in step S165 is performed based on the flowchart shown in FIG. First, in step S171, the control unit 23 determines whether or not the number of fanning data during the learning period is zero. If the number of data is zero, the process proceeds to step S172,
Reference numeral 3 sets an appropriate tilt in the flow rate section based on the table of FIG. 16 stored in the memory 24. If the number of data is not zero, the process proceeds to step S173, and the control unit sets an appropriate tilt based on the following method 1 or method 2.

(Method 1) An appropriate lifting pressure is set based on the variation in data. (1) Calculate the average value (V _AVE ) and the variation (各 v) of each fan data v 1, v 2,. (2) The occurrence range is calculated from the data. Occurrence range = Average value (V _AVE ) ± 3√v (3) Set the minimum value of the occurrence range as an appropriate tilt.
(If it exceeds this value, it is a value that cannot occur with respect to the learning result, and is determined as abnormal.)

(Method 2) An appropriate fan opening pressure is set based on the maximum value of the fan data. (1) The maximum value is extracted from the fanning data v1, v2,. (2) Multiply the maximum value of each flow rate category by a safety coefficient. (3) The value obtained in the above (2) is set as an appropriate tilt.

Next, the self-diagnosis operation is performed based on the flowchart shown in FIG. First, step S111
Then, the flow rate is measured by the flow rate measurement unit 21, and then, in step S 112, the control unit 23 corresponds to the flow rate division corresponding to the flow rate detection signal from the flow rate measurement unit 21 in FIG. 16 stored in the memory 24. The determination is made based on the lookup table. Next, in step S113, the control unit 23
Determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S113 is no, the process proceeds to step S114 to clear the maximum value and the minimum value of the pressure data stored in the memory 24.

If the answer to step S113 is yes (that is, if the flow rate is stable), then step S1
At 15, the pressure is measured by the pressure measuring unit 22. Next, at step S116, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S116 is yes, the process proceeds to step S117, and if no, the process proceeds to step S118. In step S118, the maximum value of the previous pressure data stored in the memory 24 is updated to the maximum value of the current pressure data.

In step S117, the control unit 23 determines whether or not the measured pressure data P is larger than the minimum pressure value previously stored in the memory 24. If the answer to step S117 is yes, the process returns to step S111; otherwise, the process proceeds to step S119. Step S
At 119, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Then, the process proceeds to a step S120, where the control unit 2
3 reads out the maximum value and the minimum value of the updated pressure data stored in the memory 24, calculates the difference (fluctuation), reads out from the memory 24, and classifies each of the flow rate categories determined by the learning described above. Judgment is appropriate, that is, it is determined whether the flow rate is equal to or more than the specified value for each flow rate category. If the answer to step S120 is NO, it can be estimated that the gas meter is normal, so the process returns to step S111 to start the next self-diagnosis operation. If the answer to step S120 is yes, the gas meter is assumed to be abnormal, and the process proceeds to step S121, where the control unit 23 performs an alarm process (display, notification).

Next, as still another embodiment of the self-diagnosis device of the present invention, an embodiment will be described in which a counting process is added to the above-mentioned self-diagnosis operation to make the alarm judgment more reliable. When the measured pressure <the appropriate pressure, the abnormality counter is set to +1. Next, the control unit 23 functions as an alarm determination unit that determines the number of abnormalities, and performs an alarm process when the number of abnormalities reaches a predetermined number of times (for example, 10 times).

The count of the number of abnormalities may be incremented when abnormalities are continuously detected, and may be a "continuous counting system" in which the abnormal frequency counter is cleared when a normal pressure is detected, or may be performed during a certain period (for example, 30 days)
Alternatively, a "cumulative counting method" for counting the cumulative number of abnormal times may be used.

Next, a self-diagnosis operation to which the above-described counting process is added will be described with reference to a flowchart of FIG.

First, in step S131, the flow rate measuring unit 21
Then, in step S132, the control unit 23 determines the flow rate section corresponding to the flow rate detection signal from the flow rate measurement unit 21 based on the look-up table stored in the memory 24 and corresponding to FIG. judge. Next, in step S133, the control unit 23 determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S133 is no, step S
Proceeding to 134, the maximum value and the minimum value of the pressure data stored in the memory 24 are cleared.

If the answer to step S133 is yes (that is, if the flow rate is stable), then step S1
At 35, the pressure is measured by the pressure measuring unit 22. Next, in step S136, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S136 is yes, the process proceeds to step S137; otherwise, the process proceeds to step S138. In step S138, the maximum value of the previous pressure data stored in the memory 24 is updated to the maximum value of the current pressure data.

In step S137, the control section 23 determines whether or not the measured pressure data P is larger than the minimum value of the pressure value previously stored in the memory 24. If the answer to step S137 is yes, the process returns to step S131; otherwise, the process proceeds to step S139. Step S
At 139, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Then, the process proceeds to a step S140, where the control unit 2
3 reads the maximum value and the minimum value of the updated pressure data stored in the memory 24, calculates the difference (fanning), and this fanning corresponds to the flow rate section determined by learning as described above. Then, it is determined whether the flow rate is appropriate or not, which is read out from the memory 24, that is, whether or not the flow rate is equal to or more than the specified value. If the answer to step S140 is no, then return to step S131; if yes, step S14
Proceed to 1. In step S141, the abnormality counter is set to +
Once, and then in step S142, the control unit 23
Number of times the number of abnormalities is determined in advance (for example, 10 times)
Is determined. If the answer to step S142 is no, the process returns to step S131, and if yes, the process proceeds to step S143. In step S143, the control unit 23 issues a warning (display, report).

Next, as still another embodiment of the self-diagnosis device of the present invention, monitoring of the fuel flow due to the fluctuation of the pressure at the meter outlet side with respect to the proper fuel flow according to the flow rate and the flow rate determined by learning and relearning. Then, an embodiment for performing self-diagnosis will be described.

In this embodiment, considering the fact that the tilting characteristic may change depending on the combination of the pressure regulator and each gas meter at each flow rate in the gas meter, an appropriate tilt setting by learning is performed. . Even when the outlet pressure is constant (stable), the outlet pressure varies depending on the magnitude of the flow rate. Therefore, it is necessary to measure the flow rate at a constant level. If it is determined that the flow rate is constant, pressure sampling is performed during that period to extract the outlet pressure data.

In the case of the stir, even if the flow rate is constant (stable), the pressure at the outlet of the meter changes depending on the magnitude of the flow rate (pressure loss).
Therefore, it is necessary to measure the flow while keeping the flow rate constant. When it is determined that the flow rate is constant, pressure sampling is performed during that period, and pressure data extraction is constantly performed.

Learning is performed during a certain period (for example, 3
(Day 0) is measured, and the method is used to set a proper tilting for each flow rate section from the measured data (multiplied by a safety factor in some cases). The presence or absence of an abnormal value of the fanning for the proper fanning set here is monitored.

After the learning is completed, the maximum value and the minimum value of the pressure data are stored, and if the difference (fan) exceeds the prescribed value for each flow rate category, an abnormality in the meter causes an error.
It is determined that a state that hinders the flow of gas has occurred, and an alarm process (display, notification) is performed.

Even after the learning is completed, the flow rate classification is checked. If the use is confirmed in the flow rate classification that was not observed at the time of learning, the learning mode is changed to the re-learning mode in which the flow learning is performed for the flow classification. Enter (until the re-learning ends).

Further, the gas supply system is changed, for example, a gas meter is relocated, the combustor 17 used is replaced,
If there is a change in the usage environment of the gas meter such as individual supply or centralized supply (that is, whether the combustor 17 is single or plural, forced re-learning is performed.

The flow rate versus outlet side pressure characteristics can be represented as shown in FIG. FIG. 16 shows the flow rate classification and the appropriate gas pressure determined based on FIG. FIG. 16 shows the relationship between the flow monitoring sections (for example, 1 to 13), the calorific value (kcal), the gas flow rate (L / h), and the appropriate gas pressure (kPa) corresponding to each flow rate section.
6 is stored in the memory 24 as a look-up table.

Therefore, when the flow rate is detected by the flow rate measuring section 21, the control section 23 starts learning. Control unit 23
Determines the flow rate category corresponding to the flow rate detection signal from the flow rate measurement unit 21 based on the look-up table stored in the memory 24 and corresponding to FIG. That is,
The control unit 23 functions as a flow rate classification determination unit.

After determining the flow rate classification, the control unit 23
It is determined whether the flow rate is stable. When it is determined that the flow rate is stable, the control unit 23 functions as a control unit that starts the pressure measurement unit 22 and causes the pressure measurement unit 22 to perform pressure sampling measurement. The pressure data as the pressure sampling result by the pressure measuring unit 22, that is, the pressure value is stored in the memory 24 as pressure value storage means. Memory 24
Stores the highest pressure data in the pressure data as the maximum value and the lowest pressure data as the minimum value.

On the other hand, when the pressure data is stored in the memory 24, the control means 23 performs a tilting calculation based on the pressure data in the memory 24, and determines the difference between the maximum value and the minimum value of the calculated pressure data in the flow rate classification. The data is stored in the memory 24 functioning as learning data storage means as another data.
When the learning period ends, the control unit 23 functions as learning data analysis means, reads and analyzes the learned tilting data from the memory 24, and derives and sets appropriate tilting for each flow rate section.

After the learning period is over, the control unit 23 monitors the tilt based on the pressure data measured by the pressure measuring unit 22 based on the appropriate tilt determined for each flow rate derived as described above. Work as a means. Control unit 23
Is determined to be abnormal and has a security problem when the above-mentioned tilt exceeds the reference value, an alarm is displayed on the display unit 25, and an external (for example, the management center) is notified via the notification unit 26. ).

For the flow rate that could not be observed during the learning period, based on the table shown in FIG. Set as

Even after the learning is completed, the flow rate classification is checked. When the flow rate classification not observed at the time of learning is used, the control unit 23 determines that the use state has changed, and determines the flow rate. For the division, learn how to encourage (re-learning). In this case, the control unit 23 functions as a re-learning determination unit, and the learned fanning data is stored in the memory 24 that functions as a learning data storage unit. When the learning period ends, the control unit 23 functions as a learning data analysis unit, reads out the learned fuel data from the memory 24, analyzes the data, and
The above-mentioned appropriate flow rate classification is derived and set.

Further, the compulsory learning is also monitored by the control procedure described above, and a specific signal is output from the control unit 23 when the gas meter is removed due to a change in the use environment.
Is input, the learning data on the fanning stored in the memory 24 and the set appropriate fanning data are cleared, and the re-learning is forcibly started. The fanning data learned by the forced re-learning is stored in the memory 24 functioning as learning data storage means. At the end of the study period,
The control unit 23 functions as a learning data analysis unit, reads out the learned tilting data from the memory 4, analyzes the data, and derives and sets appropriate tilting for each flow rate section.

Next, the above-described self-diagnosis operation will be described with reference to FIGS.
2 and the flowchart of FIG.

The learning and data analysis work is performed based on the flowcharts shown in FIGS. 21 and 22.
The details of this operation have already been described above, and are omitted here.

Next, the self-diagnosis operation is performed based on the flowchart shown in FIG. First, step 181
Then, the flow rate is measured by the flow rate measurement 21, and then, in step S
In 182, the control unit 23 determines the flow rate section, and then, in step S183, the control unit 23 determines whether the determined flow rate section includes a flow rate section with zero data during learning. If the answer is yes, proceed to step S184,
The measured flow rate division proceeds to the flowchart of FIG. 21 and relearning is performed.

Next, in step S185, the control unit 23
Determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S185 is no, the process proceeds to step S186 to clear the maximum value and the minimum value of the pressure data stored in the memory 24.

If the answer to step S185 is yes (that is, if the flow rate is stable), then step S1
At 87, the pressure is measured by the pressure measuring unit 22. Next, in step S188, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S188 is yes, the process proceeds to step S189, and if no, the process proceeds to step S190. In step S190, the maximum value of the previous pressure data stored in the memory 24 is updated to the maximum value of the current pressure data.

In step S189, the control section 23 determines whether or not the measured pressure data P is larger than the minimum pressure value previously stored in the memory 24. If the answer to step S189 is yes, the process returns to step S181; otherwise, the process proceeds to step S191. Step S
At 191, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Then, the process proceeds to a step S192, where the control unit 2
3 reads out the maximum value and the minimum value of the updated pressure data stored in the memory 24, calculates the difference (fluctuation), reads out from the memory 24, and classifies each of the flow rate categories determined by the learning described above. Judgment is appropriate, that is, it is determined whether the flow rate is equal to or more than the specified value for each flow rate category. If the answer to step S192 is NO, it can be estimated that the gas meter is normal, so the flow returns to step S181 to start the next self-diagnosis operation. If the answer to step S192 is yes, the gas meter is presumed to be abnormal, and the process proceeds to step S193, where the control unit 23 performs an alarm process (display, notification).

Next, as still another embodiment of the self-diagnosis device of the present invention, an embodiment will be described in which a counting process is added to the above-mentioned self-diagnosis operation to make the alarm judgment more reliable. When the measured pressure <appropriate pressure, the abnormality counter is set to +1. When the abnormality number reaches a predetermined number (for example, 10 times), an alarm is determined and an alarm process is performed.

The count of the number of abnormalities may be incremented when abnormalities are continuously detected, and may be a "continuous counting method" in which the abnormal frequency counter is cleared when a normal pressure is detected, or during a certain period (for example, 30 days)
Alternatively, a "cumulative counting method" for counting the cumulative number of abnormal times may be used.

Next, a self-diagnosis operation to which the above-described counting process is added will be described with reference to a flowchart of FIG.

First, in step 200, the flow rate is measured by the flow rate measuring section 21, and then in step S201, the control section 2
3 determines the flow rate classification, and then in step S202,
The control unit 23 determines whether or not the determined flow rate section is a flow rate section with zero data during learning. If the answer is yes, the process proceeds to step S203, and the measured flow rate class proceeds to the flowchart of FIG. 21, and relearning is performed.

Next, at step S204, the control unit 23
Determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S204 is NO, the process proceeds to step S205, and the maximum value and the minimum value of the pressure data stored in the memory 24 are cleared.

If the answer to step S204 is yes (that is, if the flow rate is stable), then step S2
At 06, the pressure measurement unit 22 measures the pressure. Next, at step S207, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S207 is yes, the process proceeds to step S208; otherwise, the process proceeds to step S209. In step S209, the maximum value of the previous pressure data stored in the memory 24 is updated to the current maximum value of the pressure data.

In step S208, the control section 23 determines whether or not the measured pressure data P is larger than the minimum pressure value previously stored in the memory 24. If the answer to step S208 is yes, the process returns to step S200; if no, the process proceeds to step S210. Step S
At 210, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Then, the process proceeds to a step S211, where the control unit 2
3 reads the maximum value and the minimum value of the updated pressure data stored in the memory 24, calculates the difference (fanning), and this fanning corresponds to the flow rate section determined by learning as described above. Then, it is determined whether the flow rate is appropriate or not, which is read out from the memory 24, that is, whether or not the flow rate is equal to or more than the specified value. If the answer to step S211 is no, then return to step S200; if yes, step S21
Proceed to 2. In step S212, the abnormality counter is incremented by +
Once, and then in step S213, the control unit 23
Number of times the number of abnormalities is determined in advance (for example, 10 times)
Is determined. If the answer to step S142 is no, then return to step S200; if yes, proceed to step S214. In step S214, the control unit 23 issues a warning (display, report).

Next, as still another embodiment of the self-diagnosis device of the present invention, an embodiment in which self-diagnosis is performed with storage of history of data related to self-diagnosis will be described.

In this embodiment, even if the flow rate is constant (stable), the pressure at the outlet of the meter changes depending on the magnitude of the flow rate. There is. If it is determined that the flow rate is constant, pressure sampling is performed and data is constantly extracted during that period. The maximum value and the minimum value of the pressure data are stored in the memory, and when the difference (fault) exceeds a specified value (for example, within 50 Pascal), an abnormality in the meter causes
It is determined that a state that hinders gas flow has occurred, and a warning is displayed.

Also, as the history of the fanning, the periodicity (for example, 3
Regardless of the presence or absence of an abnormality every 0 days), data such as the maximum value, the minimum value, and the number of times of abnormality that occurred during that period are stored for each flow rate category. The data amount is, for example, three months to one year.

First, the flow rate is measured by the flow rate measuring section 21, and the control section 23 looks up the flow rate section corresponding to the flow rate detection signal from the flow rate measuring section 21 in the lookup table corresponding to FIG. Judge based on the table.

Then, the flow rate is measured by the flow rate measuring section 21, and the control section 23 looks up the flow rate section corresponding to the flow rate detection signal from the flow rate measuring section 21 in the lookup table corresponding to FIG. Judge based on the table. That is, the control unit 23 functions as a flow rate classification determination unit.

After judging the flow rate classification, the control unit 23
When a change in the flow rate occurs, the outlet pressure of the meter changes, and accurate measurement of the tilt cannot be performed. Therefore, it is determined whether or not the flow rate is stable. The control unit 23 monitors the flow rate detection signal from the flow rate measurement unit 21 and outputs the flow rate detection signal for a predetermined period (for example,
If it is constant for 5 minutes, it is determined that the flow rate is stable.

When the stability of the flow rate is confirmed, the control unit 23
It functions as control means for activating the pressure measurement unit 22 and causes the pressure measurement unit 22 to perform pressure sampling measurement (for example, once every two seconds) for a predetermined period. Next, the control unit 23
The pressure data, that is, the pressure value, supplied from the pressure measurement unit 22 is stored in the memory 24 as pressure value storage means. The memory 24 stores data having the highest pressure in the pressure data as the maximum value and data having the lowest pressure as the minimum value.

Next, when the pressure data is stored in the memory 24, the control unit 23 executes the
4, the maximum value and the minimum value of the pressure data stored in the memory 24 are read out, the difference (that is, the tilt) is calculated, and then the appropriate tilt corresponding to the flow rate section determined as described above is looked up in the look-up table of the memory 24. , And the above-described tilting is compared with the appropriate tilting for each flow rate category, that is, the specified value for each flow rate category. As a result, if the tilt does not exceed the specified value for each flow rate category, the control unit 23 determines that the gas meter is normal. On the other hand, if the above tilt is equal to or greater than the specified value for each flow rate category, the control unit 23 estimates that the gas meter is abnormal, determines that there is a security problem (self-diagnosis), and displays an alarm on the display unit 25. At the same time, a notification is made to the outside (for example, a management center) via the notification unit 26.

Further, the control section 23 periodically records the data such as the maximum value, the minimum value, the number of abnormalities, and the like in the memory 24 historically for each flow rate section.

Next, the above-mentioned self-diagnosis operation will be described with reference to the flowcharts of FIGS. 27 and 28.

First, in step S221, the flow rate measuring unit 21
Then, in step S222, the control unit 23 determines the flow rate section corresponding to the flow rate detection signal from the flow rate measurement unit 21 based on the lookup table stored in the memory 24 and corresponding to FIG. judge. Next, in step S223, the control unit 23 determines whether or not the flow rate is stable based on the flow rate detection signal from the flow rate measurement unit 21. If the answer to step S223 is no, step S
Proceeding to 224, the maximum value and the minimum value of the pressure data stored in the memory 24 are cleared.

If the answer to step S223 is yes (that is, if the flow rate is stable), then step S2
At 25, the pressure is measured by the pressure measuring unit 22. Next, at step S226, the control unit 23 determines whether or not the measured pressure data P is smaller than the maximum value of the pressure data previously stored in the memory 24. If the answer to step S226 is yes, the process proceeds to step S227; otherwise, the process proceeds to step S228. In step S228, the maximum value of the previous pressure data stored in the memory 24 is updated to the maximum value of the current pressure data.

In step S227, the control section 23 determines whether or not the measured pressure data P is larger than the minimum pressure value previously stored in the memory 24. If the answer to step S227 is yes, the process returns to step S221; otherwise, the process proceeds to step S229. Step S
At 229, the minimum value of the previous pressure data stored in the memory 24 is updated to the minimum value of the current pressure data.

Then, the process proceeds to a step S230, where the control unit 2
3 reads the maximum value and the minimum value of the updated pressure data stored in the memory 24, and calculates the difference (fanning) between them. Next, in step S231, the calculated fanning data is registered in the memory 24 functioning as history storage means.

Next, in step S232, it is determined whether or not the difference between the calculated maximum value and minimum value, that is, the tilt is equal to or greater than a predetermined value (for example, 50 Pascal).
If the answer to step S232 is no, it can be estimated that the gas meter is normal, so the process returns to step S221,
Enter the next self-diagnosis operation. If the answer to step S232 is yes, the gas meter is inferred to be abnormal, and step S2
Proceeding to 33, the control unit 23 performs an alarm process (display, notification).

Next, the saving and clearing processing of the history data relating to the fanning will be described with reference to the flowchart shown in FIG. First, in step S241, a history timer (built-in to the control unit 23, but not shown here) is started, and then in step S242, the control unit 23
Determines whether the history timer has timed out. If the time is over, the process proceeds to step S243, and the control unit 23 writes the tilting data of the registration area of the memory 24 as history data in the history area. Then
The control unit 23 clears the data of the registration area, and then, in step S245, the control unit 23 clears the history timer. Then, in step S246, the control unit 23 restarts the history timer, and then returns to step S241. .

[0166]

According to the first aspect of the present invention, since an abnormality is mainly detected in the weighing portion, proper weighing can be performed. Further, by displaying and notifying an alarm that an abnormality has occurred, countermeasures can be taken, so that it is possible to always ensure convenience for consumers.
Further, it is possible to perform a self-diagnosis as to whether or not the tilt caused by the fluctuation of the meter outlet pressure is properly tilted.

According to the second aspect of the present invention, it is possible to more reliably determine whether an alarm should be issued.

According to the third aspect of the present invention, since an abnormality is mainly detected in the weighing portion, proper weighing can be performed. Further, by displaying and notifying an alarm that an abnormality has occurred, countermeasures can be taken, so that it is possible to always ensure convenience for consumers.
In addition, a more accurate self-diagnosis can be performed by determining the tilting for each flow rate category.

According to the fourth aspect of the present invention, it is possible to more reliably determine whether or not an alarm should be issued.

According to the fifth aspect of the invention, an abnormality is mainly detected in the weighing portion, so that proper weighing can be performed. Further, by displaying and notifying an alarm that an abnormality has occurred, countermeasures can be taken, so that it is possible to always ensure convenience for consumers.
Also, by setting the appropriate flow for a specific flow rate,
More accurate self-diagnosis can be performed.

According to the sixth aspect of the present invention, it is possible to more reliably determine whether or not an alarm should be issued.

According to the seventh aspect of the present invention, since an abnormality is mainly detected in the weighing portion, proper weighing can be performed. Further, by displaying and notifying an alarm that an abnormality has occurred, countermeasures can be taken, so that it is possible to always ensure convenience for consumers.
In addition, since appropriate leaning is set for each flow rate section by learning, more accurate self-diagnosis can be performed.

According to the eighth aspect of the present invention, it is possible to more reliably determine whether or not an alarm should be issued.

According to the ninth aspect of the invention, an abnormality is mainly detected in the weighing portion, so that proper weighing can be performed. Further, by displaying and notifying an alarm that an abnormality has occurred, countermeasures can be taken, so that it is possible to always ensure convenience for consumers.
Further, since an appropriate outlet pressure is set for each flow rate section by learning, more accurate self-diagnosis can be performed. In addition, since a re-learning function is provided, self-diagnosis can be performed in accordance with the use situation.

According to the tenth aspect of the present invention, since the forced re-learning function is provided, self-diagnosis can be performed in accordance with the use condition.

According to the eleventh aspect, an abnormality is mainly detected in the weighing portion, so that proper weighing can be performed. Further, by displaying and notifying an alarm that an abnormality has occurred, countermeasures can be taken, so that it is possible to always ensure convenience for consumers.
In addition, since various data related to the fanning is left as a history, it is possible to grasp the progress up to the occurrence of the abnormality.

[Brief description of the drawings]

FIG. 1 is a functional block diagram of a gas meter self-diagnosis device according to an embodiment of the present invention.

FIG. 2 is a functional block diagram of a gas meter self-diagnosis device according to another embodiment of the present invention.

FIG. 3 is a functional block diagram of a gas meter self-diagnosis device according to still another embodiment of the present invention.

FIG. 4 is a functional block diagram of still another embodiment of the self-diagnosis device for a gas meter according to the present invention.

FIG. 5 is a functional block diagram of still another embodiment of the gas meter self-diagnosis device according to the present invention.

FIG. 6 is a functional block diagram of still another embodiment of the self-diagnosis device for a gas meter according to the present invention.

FIG. 7 is a functional block diagram of a gas meter self-diagnosis apparatus according to still another embodiment of the present invention.

FIG. 8 is a functional block diagram of still another embodiment of the gas meter self-diagnosis device according to the present invention.

FIG. 9 is a functional block diagram of still another embodiment of the self-diagnosis device for a gas meter according to the present invention.

FIG. 10 is a functional block diagram of still another embodiment of the gas meter self-diagnosis device according to the present invention.

FIG. 11 is a functional block diagram of still another embodiment of the gas meter self-diagnosis device according to the present invention.

FIG. 12 is a schematic configuration diagram of a gas supply system including a gas meter implementing the self-diagnosis device of the present invention.

FIG. 13 is a flowchart illustrating an operation of the gas meter self-diagnosis device according to the embodiment of the present invention.

FIG. 14 is a flowchart illustrating the operation of another embodiment of the self-diagnosis device for a gas meter according to the present invention.

FIG. 15 shows a flow rate versus a tilting characteristic in a gas meter implementing the self-diagnosis device of the present invention.

FIG. 16 is a table showing the flow rate classification and the proper tilt determined based on FIG.

FIG. 17 is a flowchart for explaining the operation of still another embodiment of the gas meter self-diagnosis device according to the present invention.

FIG. 18 is a flowchart for explaining the operation of a gas meter self-diagnosis device according to still another embodiment of the present invention.

FIG. 19 is a flowchart illustrating the operation of a gas meter self-diagnosis device according to still another embodiment of the present invention.

FIG. 20 is a flowchart for explaining the operation of a gas meter self-diagnosis device according to still another embodiment of the present invention.

FIG. 21 is a flowchart for explaining the operation of still another embodiment of the gas meter self-diagnosis device according to the present invention.

FIG. 22 is a flowchart illustrating the operation of a gas meter self-diagnosis device according to still another embodiment of the present invention.

FIG. 23 is a flowchart for explaining the operation of still another embodiment of the gas meter self-diagnosis device according to the present invention.

FIG. 24 is a flowchart illustrating the operation of a gas meter self-diagnosis device according to still another embodiment of the present invention.

FIG. 25 is a flowchart for explaining the operation of a gas meter self-diagnosis device according to still another embodiment of the present invention.

FIG. 26 is a flowchart illustrating the operation of a gas meter self-diagnosis device according to still another embodiment of the present invention.

FIG. 27 is a flowchart for explaining the operation of still another embodiment of the gas meter self-diagnosis device according to the present invention.

FIG. 28 is a flowchart for explaining the operation of still another embodiment of the gas meter self-diagnosis device according to the present invention.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 21 Flow rate measuring means 22 Pressure measuring means 23 Control means 23-1 Lifting determining means 23-2 Counting means 23-3 Alarm determining means 23-4 Flow rate determining means 23-5 Learning data analyzing means 23-6 Proper raising setting means 24 Pressure value storage means 24-1 Learning data storage means 24-2 History storage means 25 Alarm means

Claims (11)

[Claims] 1. A flow rate measuring means arranged in a gas flow path and measuring a gas flow rate, a pressure measuring means arranged at a meter outlet of a gas meter and measuring gas pressure at a meter outlet, and the pressure measuring means Control means for starting; pressure value storage means for storing a pressure value measured by the pressure measurement means; maximum value and minimum value of the measured pressure value started by the control means and stored in the pressure value storage means Value difference
Is determined by a fanning determination unit that determines whether or not a predetermined value is equal to or more than a predetermined value, and an alarm unit that performs an alarm process when the fanning is determined by the fanning determination unit to be equal to or more than the specified value. A self-diagnosis device for a gas meter. 2. A counting means for counting the number of abnormalities determined by the tilting determining means to be equal to or greater than the prescribed value; and the number of abnormalities counted by the counting means reaches a predetermined number of determinations. Alarm judging means for detecting that the alarming means has detected that the number of abnormalities counted by the counting means has reached a predetermined judging number. 2. The self-diagnosis device for a gas meter according to claim 1, wherein: 3. A flow rate measuring means disposed in a gas flow path for measuring a gas flow rate, a flow rate determining means for determining a flow rate category based on a flow rate detection signal from the flow rate measuring means, and a meter outlet of a gas meter. Pressure measuring means disposed in the unit, for measuring gas pressure at the meter outlet; control means for activating the pressure measuring means; pressure value storing means for storing a pressure value measured by the pressure measuring means; The maximum value and the minimum value of the measured pressure values stored in the pressure value storage means (fanning)
Is determined by the flow rate division determining means, corresponding to the specific flow rate category is determined by the flow rate category or more predetermined value or not is determined by the fanning determination means, the fanning determination means by the fanning determination means A self-diagnosis device for a gas meter, comprising: alarm means for performing an alarm process when it is determined that the flow rate is equal to or more than the specified value for each flow rate category. 4. A counting means for counting the number of abnormalities in which the raising is determined to be equal to or more than the prescribed value for each flow rate classification, and the number of abnormalities counted by the counting means 23-2 is predetermined. Alarm determination means for detecting that the number of determinations reached has been reached, wherein the alarm means detects that the number of abnormalities counted by the counting means by the alarm determination means has reached a predetermined number of determinations. The self-diagnosis device for a gas meter according to claim 3, wherein an alarm process is performed when the self-diagnosis is performed. 5. A flow rate measuring means arranged in a gas flow path and measuring a gas flow rate, a pressure measuring means arranged at a meter outlet of a gas meter and measuring a gas pressure at a meter outlet, and the flow rate measuring means. Control means for calculating an appropriate tilt corresponding to the flow rate detection signal of the above, and activating the pressure measuring means; a pressure value storing means for storing a pressure value measured by the pressure measuring means; Difference between the maximum value and the minimum value of the measured pressure values stored in the pressure value storage means (fanning)
Is determined from whether or not the above-calculated proper lifting is determined, and from the warning means that performs an alarm process when the lifting is determined to be equal to or more than the appropriate lifting by the lifting determination means. A self-diagnosis device for a gas meter. 6. A counting means for counting the number of abnormalities determined by the shaking determination means to be equal to or greater than the proper shaking; and the number of abnormalities counted by the counting means reaches a predetermined number of times of determination. Alarm judging means for detecting that the alarming means has detected that the number of abnormalities counted by the counting means has reached a predetermined judging number. 6. The self-diagnosis device for a gas meter according to claim 5, wherein: 7. A flow rate measuring means disposed in a gas flow path for measuring a gas flow rate, a flow rate determining means for determining a flow rate category based on a flow rate detection signal from the flow rate measuring means, and a meter outlet of a gas meter A pressure measuring unit disposed in the unit, for measuring a gas pressure at a meter outlet; a control unit for activating the pressure measuring unit; a pressure value storing unit for storing a pressure value measured by the pressure measuring unit; During the learning period, learning for storing a flow rate detection signal from the flow rate measuring means and a difference (fan) between the maximum value and the minimum value of the pressure value from the pressure measuring means corresponding to the flow rate detection signal as learning data. Data storage means; learning data analysis means for analyzing the learning data stored in the learning data storage means; and a flow rate classification based on an analysis result of the learning data analysis means. The appropriate tilt setting means for setting the correct tilt, and the correct tilt according to the flow rate category and the tilt stored in the pressure value storage means are compared to determine whether the tilt is equal to or more than the correct tilt according to the flow rate. A self-diagnosis device for a gas meter, comprising: a determination unit for determining whether the fuel is lifted is equal to or more than the proper lifting, and an alarm unit for performing an alarm process when the determination is determined to be greater than or equal to the appropriate rotation. 8. A counting means for counting the number of abnormalities determined by the shaking determining means to be equal to or greater than the proper shaking; and the number of abnormalities counted by the counting means reaches a predetermined number of times of determination. Alarm judging means for detecting that the alarming means has detected that the number of abnormalities counted by the counting means has reached a predetermined judging number. 8. The self-diagnosis device for a gas meter according to claim 7, wherein: 9. A flow rate measuring means disposed in a gas flow path for measuring a gas flow rate, a flow rate classification determining means for determining a flow rate category based on a flow rate detection signal from the flow rate measuring means, and a meter outlet of the gas meter A pressure measuring unit disposed in the unit, for measuring a gas pressure at a meter outlet; a control unit for activating the pressure measuring unit; a pressure value storing unit for storing a pressure value measured by the pressure measuring unit; During the learning period, learning for storing, as learning data, a flow rate detection signal from the flow rate measuring means and a difference (fan) between the maximum value and the minimum value of the pressure value from the pressure measuring means corresponding to the flow rate detection signal. Data storage means, learning data analysis means for analyzing the learning data stored in the learning data storage means, and a flow rate classification based on an analysis result of the learning data analysis means. The appropriate tilt setting means for setting the correct tilt and the correct tilt for each flow rate category and the tilt stored in the pressure value storage means are compared to determine whether the tilt is equal to or more than the correct tilt for each flow rate category. A determination means for determining, and an alarm means for performing an alarm process when the determination is determined to be equal to or more than the appropriate lifting by the determination means. A self-diagnosis device for a gas meter, wherein when a missing flow rate section occurs, a re-learning operation for setting an appropriate pressure corresponding to the flow rate section is instructed. 10. The control means, when a specific signal is input based on a change in the use environment, clears the learning data stored in the learning data storage means and the set proper fanning data, and 10. The self-diagnosis device for a gas meter according to claim 9, wherein re-learning is started. 11. A flow rate measuring means disposed in a gas flow path for measuring a gas flow rate, a flow rate determining means for determining a flow rate category based on a flow rate detection signal from the flow rate measuring means, and a meter outlet of a gas meter Pressure measuring means arranged in the unit, for measuring gas pressure at the meter outlet; control means for activating the pressure measuring means; pressure storing means for storing a pressure detection signal from the pressure measuring means; The specified value for each flow rate category determined by the means is compared with the difference between the maximum value and the minimum value (pressure) of the pressure value stored in the pressure value storage means. Fanning determination means for determining whether or not the flow rate is equal to or more than a specified value for each flow category, and an alarm for performing an alarm process when the fanning is determined to be equal to or more than the specified value for each flow rate category by the above-mentioned fanning determination means. Means for self-diagnosis of a gas meter, characterized by comprising means and history storage means for storing data relating to the flutter generated during the period in response to a periodic command from the control means.