Governor monitoring system and data processing method for governor

Abstract

To provide a governor monitoring system and a data processing method for a governor that can perform data processing to enable accurate remote monitoring of a pressure value on a secondary side of a governor, and can operate the governor for a long period with a battery.SOLUTION: A governor monitoring system 100 comprises: a governor 11 that is provided on a gas pipe 90, and adjusts the pressure of gas flowing in the gas pipe 90; a secondary-side pressure sensor 13B for measuring a secondary-side pressure value of the governor 11; and a sensor control unit 14 that controls the secondary-side pressure sensor 13B. The sensor control unit 14 includes a data processing program for performing data processing on information on the pressure value measured by the secondary-side pressure sensor 13B. The data processing program is for performing data processing by calculating a corrected movement average value at an interval of 0.1 second or more and 3 seconds or less.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a governor monitoring system and a data processing method for a governor. [Background technology]

[0002] In order to improve transportation efficiency, city gas is supplied to consumers at high pressure (for example, approximately 2-7 MPa) from gas production plants, and then reduced to a specified set pressure by governors installed at various points in the gas supply network.

[0003] Specifically, city gas supplied from a gas manufacturing plant is reduced by a high-pressure governor to a pressure category known as medium-pressure A (0.3 MPa or more and less than 1 MPa), and then further reduced by a medium-pressure governor. There are two types of medium-pressure governor: medium-pressure A governor and medium-pressure B governor, and the medium-pressure A governor reduces the pressure to a pressure category known as medium-pressure B (0.1 MPa or more and less than 0.3 MPa). These medium-pressure A and medium-pressure B pressure categories are used by large-scale commercial facilities, factories, and other large-scale consumers. Then, for smaller commercial facilities, factories, and ordinary households, the gas is further reduced in pressure (to about 2 KPa) by the medium-pressure B governor before being supplied.

[0004] For a stable supply of city gas, it is necessary to monitor whether the pressure is reduced to the set pressure by the governor. However, since a large number of governors are used (for example, about 3,000 medium pressure A governors and medium pressure B governors are used in one local gas supply network), it is difficult to monitor each governor in close proximity. Therefore, by connecting the medium pressure governor to a communication means, the pressure value of the gas on the secondary side of the medium pressure governor and the like are remotely monitored via the communication means. Here, a device using a battery or a device using a commercial power source is used for measuring the pressure value of the gas on the secondary side of the medium pressure governor and for communication for remote monitoring, but a device using a battery is preferred (for example, four D batteries are used). The reason why devices using a commercial power source are disliked is that the high voltage of the commercial power source may cause a gas to ignite and explode if a spark occurs due to a short circuit, and that explosion prevention measures are expensive. For example, the technology disclosed in Patent Documents 1-4 is known as a system for remote monitoring of a governor. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 11-108788 [Patent Document 2] Japanese Patent Application Publication No. 11-328566 [Patent Document 3] JP 2005-214861 A [Patent Document 4] JP 2005-216121 A Summary of the Invention [Problem to be solved by the invention]

[0006] Due to sudden fluctuations in gas pressure and the complex piping of gas pipes due to piping space issues, turbulence occurs in the gas flowing through the gas pipe 90. This turbulence causes variation in the measured value of the secondary pressure. This variation resembles the fluctuations in the secondary pressure value when the governor is operating abnormally, so if there is variation in the measured value of the secondary pressure, it may lead to a misjudgment that the governor is operating abnormally even when it is actually operating normally. In other words, accurate remote monitoring of the secondary pressure value of the governor cannot be performed. The degree of turbulence increases as the flow rate of gas increases, so the variation increases in winter when gas demand increases, making it easy to misjudgment that the governor is operating abnormally. To resolve abnormal operation, maintenance work such as part replacement is required, so a visit to the site is required, but if a misjudgment occurs, maintenance work is not necessary and travel time from the office to the governor is wasted.

[0007] By processing the measured value of the secondary pressure, it is possible to accurately grasp the secondary pressure value and prevent the above-mentioned erroneous judgment, but complex calculation processing consumes a lot of battery power and makes it impossible to operate the governor for a long time (for example, more than one year). If the gas pipe downstream of the governor is a straight pipe of 500 m to 1 km, the turbulence gradually subsides as the gas flows through the straight pipe, making it possible to monitor the secondary pressure value without being affected by the turbulence and eliminating the need for data processing. However, it is rare to be able to secure the space to install such a long straight pipe, and this is not realistic.

[0008] The present invention is devised to solve the above problems, and has an object to provide a governor monitoring system and a data processing method for a governor that enable accurate remote monitoring of the secondary pressure value of a governor by processing data, and that enables the governor to operate for long periods of time using a battery. [Means for solving the problem]

[0009] In order to solve the above problems, a governor monitoring system according to the present invention has the following configuration.

[0010] (1) A governor monitoring system including a governor provided in a gas pipe for adjusting the pressure of gas flowing through the gas pipe, a secondary pressure sensor for measuring a pressure value of the gas downstream of the governor, and a sensor control unit for controlling the secondary pressure sensor, wherein the sensor control unit includes a data processing program for performing data processing on information of the pressure value measured by the secondary pressure sensor, and the data processing program performs the data processing by calculating a modified moving average value at intervals of 0.1 seconds or more and 3 seconds or less, based on the following formula (Mathematical Formula 1), where N=2.

[0011]

number

[0012] In the above formula (Equation 1), MMA today stands for Modified Moving Average, MMA yesterday means the previous corrected moving average value, and price means the pressure value measured by the secondary pressure sensor.

[0013] (2) In the governor monitoring system described in (1), it is preferable that the data processing program uses, as the price in the formula 1, the average value of two to four consecutive pressure values ​​measured by the secondary pressure sensor at an interval of 1 millisecond to 1.5 milliseconds.

[0014] (3) In the governor monitoring system described in (2), it is preferable that the data processing program uses, as the price in the equation (1), the average value of three consecutive pressure values ​​measured by the secondary pressure sensor at intervals of 1.2 milliseconds.

[0015] In order to solve the above problems, a governor data processing method according to the present invention has the following configuration.

[0016] (4) A data processing method for a governor, which adjusts the pressure of gas flowing through a gas pipe, obtains information on the downstream gas pressure value from a secondary pressure sensor and performs data processing on the information, characterized in that the data processing is performed by calculating a corrected moving average value at intervals of 0.5 seconds, with N=2, based on the above formula (Equation 1).

[0017] (5) In the governor data processing method described in (4), it is preferable that the price in the above formula (Mathematical Formula 1) is the average value of two to four consecutive pressure values ​​measured by the secondary pressure sensor at an interval of 1 millisecond to 1.5 milliseconds.

[0018] (6) In the governor data processing method described in (5), it is preferable that the price in the above formula (Mathematical Formula 1) is the average value of three consecutive pressure values ​​measured by the secondary pressure sensor at intervals of 1.2 milliseconds.

[0019] According to the above governor monitoring system or governor data processing method, the pressure value (secondary pressure value) of the gas downstream of the governor measured by the secondary pressure sensor is processed by the modified moving average. The modified moving average adds the latest secondary pressure value measured by the secondary pressure sensor to the previous modified moving average, so that the influence of the variation of the measurement value can be reduced. Therefore, the secondary pressure value can be monitored more accurately. In addition, when calculating the modified moving average, by setting N=2, the influence of the past measurement value can be minimized, so that the current secondary pressure value can be expressed more accurately. In addition, since the data processing by the modified moving average does not require complicated arithmetic processing, it is possible to operate for a long time (one year or more) with batteries (for example, four D batteries). In addition, it is preferable that the interval for calculating the modified moving average is 0.1 seconds or more and 3 seconds or less. If it is shorter than 0.1 seconds, the battery will be consumed rapidly, making it difficult to operate for a long time with the battery, and if it is longer than 3 seconds, the influence of the variation of the measurement value will be large, making accurate remote monitoring difficult.

[0020] In addition, it is preferable that the value used as the price in the above formula (Equation 1) is the average value of two to four consecutive pressure values ​​measured by the secondary pressure sensor at intervals of 1 to 1.5 milliseconds, and it is even more preferable that the value used as the price in the above formula (Equation 1) is the average value of three consecutive pressure values ​​measured by the secondary pressure sensor at intervals of 1.2 milliseconds.

[0021] The reason why the measurement interval is set to 1 ms or more and 1.5 ms or less is that if it is shorter than 1 ms, the battery will consume too much, making it difficult to operate for a long time on the battery, and if it is longer than 1.5 ms, the influence of the variation in the measurement value will be large, making accurate remote monitoring difficult. The reason why the average value of 2 to 4 consecutive pressure values ​​is used is that if there are fewer than 2 pressure values ​​(i.e., the average value is not calculated), the influence of the variation in the measurement value cannot be eliminated, making it impossible to accurately monitor the secondary pressure value, and if there are more than 4 pressure values, the battery will consume too much, making it difficult to operate for a long time (more than one year) on the battery. In particular, the inventors of the present application have confirmed through experiments that the best balance between eliminating the influence of the variation in the measurement value and battery consumption is achieved by using the average value of three consecutive pressure values ​​measured by the secondary pressure sensor at an interval of 1.2 ms as the price in the above formula (Math. 1). Effect of the Invention

[0022] The governor monitoring system and governor data processing method of the present invention enable accurate remote monitoring of the pressure value on the secondary side of the governor by performing data processing, and also enable the governor to operate for long periods of time using a battery. [Brief description of the drawings]

[0023] [Figure 1] 1 is a conceptual diagram of a governor monitoring system according to an embodiment of the present invention. [Diagram 2] FIG. 1 is a conceptual diagram of a governor. [Diagram 3] 1 is a table for explaining the process of data processing. [Figure 4]1 is a graph summarizing the relationship between secondary pressure value and time. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0024] A governor monitoring system and a governor data processing method according to an embodiment of the present invention will be described in detail with reference to the drawings. Fig. 1 is a conceptual diagram of a governor monitoring system 100 according to this embodiment. Fig. 2 is a conceptual diagram of a governor.

[0025] The governor monitoring system 100 mainly comprises a governor room 10 arranged in a gas supply network and a monitoring device 50 that remotely monitors the governor room 10. The governor room 10 also includes a governor 11, a pressure detector 12, a gas leak detector 30, and a communication unit 20.

[0026] The governor 11 is provided on a gas pipe 90, and reduces the pressure of the gas (for example, city gas) passing through the gas pipe 90 to a predetermined set pressure, and automatically adjusts the valve opening so that the pressure remains approximately constant at the set pressure. The governor 11 in this embodiment is, for example, a medium pressure B governor, and the predetermined set pressure is set to less than 3 KPa. Specifically, the pressure value (primary pressure value) of the gas upstream of the governor 11, which is in the medium pressure A pressure category (0.3 MPa or more and less than 1 MPa), is reduced so that the pressure value (secondary pressure value) of the gas downstream of the governor 11 becomes approximately 2.4 KPa. When the governor 11 is a high-pressure governor, the predetermined set pressure is, for example, 0.3 MPa or more and less than 1 MPa. Specifically, the primary pressure, which is a relatively high pressure (about 2-7 MPa) supplied from a gas production plant, is reduced so that the secondary pressure falls within the pressure category of medium pressure A. Furthermore, when the governor 11 is a medium pressure A governor, the predetermined set pressure is, for example, 0.1 MPa or more and less than 0.3 MPa. Specifically, the primary pressure value, which is in the pressure category of medium pressure A, is reduced so that the secondary pressure value becomes the pressure category of medium pressure B (0.1 MPa or more and less than 0.3 MPa).

[0027] As shown in FIG. 2, the governor 11 includes a drive unit 16 and a valve unit 17. The drive unit 16 includes a spring 161 and a diaphragm 162 inside. The set pressure of the gas can be determined by adjusting the amount of tightening of the spring 161. The diaphragm 162 is deformed according to the balance between the set pressure and the secondary pressure. A valve element 171 in the valve unit 17 is connected to the diaphragm 162 via a rod 172, and the valve element 171 moves up and down as the diaphragm 162 deforms. This controls the flow of the gas. In this way, the governor 11 does not require a power source because it uses the difference between the secondary pressure applied to the diaphragm 162 and the spring force of the spring 161 as its driving force.

[0028] The governor room 10 is equipped with a pressure detector 12, a gas leak detector 30, etc. in addition to the governor 11. Information detected by the pressure detector 12, the gas leak detector 30, etc. is collected in a monitoring device 50 (e.g., a computer such as a personal computer) via a communication unit 20, and the supply status of city gas is remotely monitored. The communication unit 20 and the monitoring device 50 are connected via a communication network 101 including a wireless base station 400 and a general-purpose communication line 300 (e.g., a telephone line).

[0029] The pressure detector 12 includes a primary pressure sensor 13A, a secondary pressure sensor 13B, and a sensor control unit .

[0030] The primary side pressure sensor 13A is disposed in the gas pipe 90 on the upstream side of the governor 11, and is used to measure the primary side pressure value of the governor 11. In addition, the primary side pressure sensor 13A is electrically connected to the sensor control unit 14 so as to be able to send and receive signals.

[0031] The secondary pressure sensor 13B is disposed in the gas pipe 90 downstream of the governor 11, and is used to measure the secondary pressure value of the governor 11. In addition, the secondary pressure sensor 13B is electrically connected to the sensor control unit 14 so as to be able to transmit and receive electric signals.

[0032] Both the primary pressure sensor 13A and the secondary pressure sensor 13B are pressure transmitters (for example, KP15 manufactured by Nagano Keiki Co., Ltd.) that use a stainless steel diaphragm in the pressure receiving portion. The response speed, which indicates the characteristics of the up and down movement of the diaphragm, is desirably shorter than 5 milliseconds, and the primary pressure sensor 13A and the secondary pressure sensor 13B in this embodiment have a response speed of 1 millisecond. In addition, it is desirable for them to have dustproof and waterproof performance of about IP65. This is because the governor room 1 is installed underground, so humidity is high and there is a high possibility that condensed water droplets will adhere to the primary pressure sensor 13A and the secondary pressure sensor 13B.

[0033] The sensor control unit 14 has an internal CPU and memory, and the CPU controls the pressure sensors 13A and 13B to execute a data processing program. The memory stores the data processing program and pressure information measured by the pressure sensors 13A and 13B. The sensor control unit 14 samples the electrical signals of the primary pressure sensor 13A and the secondary pressure sensor 13B at regular time intervals in accordance with the data processing program. The timing of sampling will be described later.

[0034] Then, the sensor control unit 14 processes the sampled electrical signal and stores the processed data in memory as digital values. The data stored in the sensor control unit 14 is sent to a communication unit 20 installed in the governor room 1 via a communication line 40A. The sensor control unit 14 uses a low power consumption device and is operated by batteries stored in the battery storage unit 15. For example, four D batteries are used.

[0035] If the pressure value after data processing exceeds a predetermined upper limit value or falls below a predetermined lower limit value, the sensor control unit 14 determines that an abnormality has occurred and stores the abnormality information in memory, and also activates an emergency shutoff device (not shown) in the governor chamber 10 to cut off the supply of gas downstream of the governor 11.

[0036] As shown in FIG. 1, the gas leak detector 30 has a gas leak sensor 31 and a sensor control unit 32. The gas leak sensor 31 measures the gas concentration in the governor chamber 10. The gas leak sensor 31 is electrically connected to the sensor control unit 32. When the gas concentration measured by the gas leak sensor 31 reaches a certain level or more, the sensor control unit 32 generates gas leak information and outputs it to the communication unit 20 via the communication line 40B. The sensor control unit 32 uses a low-power consumption battery and is operated by a battery stored in the battery storage unit 33. For example, four D batteries are used as the battery. Note that even when the gas leak sensor 31 detects a gas leak, it is possible to activate the above-mentioned emergency shutoff device to shut off the gas supply downstream of the governor 11.

[0037] The communication unit 20 includes a wireless terminal 21 and a battery storage section 22. The wireless terminal 21 transmits information obtained from the pressure detector 12 and the gas leak detector 30 via communication lines 40A and 40B to the monitoring device 50 via the communication network 101. The wireless terminal 21 is also powered by a battery stored in the battery storage section 22. For example, four D-cell batteries are used as the battery.

[0038] The monitoring device 50 calls the wireless terminal 21 of the communication unit 20 via the communication network 101 either systematically or as needed, and obtains current information on the pressure detector 12 and the gas leak detector 30 via the wireless terminal 21 and communication lines 40A and 40B.

[0039] <Data processing method> The governor monitoring system 100 processes data of the secondary pressure value sampled by the secondary pressure sensor 13B through the operation of the data processing program as follows. The data processing method will be described below with reference to Fig. 3. Fig. 3 is a table for explaining the data processing process.

[0040] The governor monitoring system 100 samples the secondary pressure value three times in succession at 1.2 millisecond intervals using the secondary pressure sensor 13B every 0.5 seconds. Specifically, as shown in Fig. 3, from the time when sampling starts (0 seconds), measurement values ​​P11-P13 are obtained at 1.2 millisecond intervals. Then, 0.5 seconds later, measurement values ​​P21-P23 are obtained at 1.2 millisecond intervals, and 0.5 seconds later (1 second in the table), measurement values ​​P31-P33 are obtained at 1.2 millisecond intervals. The same is true at 1.5 seconds in the table, and thereafter (2.0 seconds and thereafter).

[0041] Then, the average value of the secondary pressure values ​​sampled three times consecutively at 1.2 millisecond intervals is calculated. Specifically, as shown in Fig. 3, the average value of the secondary pressure values ​​at 0 second, 1.2 millisecond, and 2.4 milliseconds (the value of (P11+P12+P13) / 3 at 0 second in the table shown in Fig. 3) is calculated, and 0.5 seconds later, the average value of the secondary pressure values ​​at 0.5 seconds (500 milliseconds), 501.2 milliseconds, and 502.4 milliseconds (the value of (P21+P22+P23) / 3 at 500 milliseconds in the table shown in Fig. 3), and 0.5 seconds later (the value at 1 second in the table), the average value of the secondary pressure values ​​at 1 second (1000 milliseconds), 1001.2 milliseconds, and 1002.4 milliseconds (the value of (P31+P32+P33) / 3 at 1000 milliseconds in the table shown in Fig. 3), etc. are calculated. The same is true at 1.5 seconds in the table, and the same is true thereafter (2.0 seconds and beyond).

[0042] Then, the average value calculated as above is used in the following formula (Formula 2) to calculate the corrected moving average value, where N=2.

number

[0043] In the above formula (Formula 2), MMA today stands for Modified Moving Average, MMA yesterday means the previous corrected moving average value. Also, the average value of the pressure value measured by the secondary pressure sensor (the value shown in "Average value" in the table shown in FIG. 3) is used as the price.

[0044] Specifically, for example, it is calculated as follows. The corrected moving average value A11 at 0 seconds in the table shown in FIG. 3 is the previous corrected moving average value (MMA yesterday ) has not been calculated, the average value at 0 seconds (the value of (P11+P12+P13) / 3) is used as is.

[0045] The corrected moving average value A12 at 0.5 seconds in the table shown in Figure 3 is the previous corrected moving average value (MMA yesterday ) is calculated using the corrected moving average value A11 at 0 seconds, and the price is calculated using the average value at 0.5 seconds (the value of (P21+P22+P23) / 3).

[0046] The corrected moving average value A13 at 1 second in the table shown in Figure 3 is the previous corrected moving average value (MMA yesterday ) is calculated using the corrected moving average value A12 at 0.5 seconds, and the price is calculated using the average value at 1 second (the value of (P31+P32+P33) / 3).

[0047] The corrected moving average value A14 at 1.5 seconds in the table shown in Figure 3 is the previous corrected moving average value (MMA yesterday ) is calculated using the corrected moving average value A12 at 1 second, and the average value at 1.5 seconds (the value of (P41+P42+P43) / 3) is calculated as price. The calculation is then performed in the same manner as above for the values ​​at 2 seconds and after, which are not listed in the table of FIG.

[0048] By processing the data using the corrected moving average as described above, it is possible to reduce the influence of the variation in the measurement value and monitor the secondary pressure value. This will be explained in detail with reference to Figure 4. Figure 4 is a graph summarizing the relationship between the secondary pressure value and time.

[0049] The "measured value" in the graph of FIG. 4 is the secondary pressure value when sampling is performed every 1.2 milliseconds by the secondary pressure sensor 13B. The secondary pressure value is adjusted to about 2.4 KPa by the governor 11, but according to the graph shown in FIG. 4, the measured value varies widely. This is because turbulence occurs due to sudden pressure fluctuations of the gas and the gas pipes being arranged in a complicated manner due to the problem of piping space. If the governor is operating abnormally, the secondary pressure value may fluctuate wildly. Therefore, if the measured value of the secondary pressure varies as shown in FIG. 4, it may lead to a misjudgment that the governor 11 is operating abnormally even if it is not actually operating abnormally. In other words, the secondary pressure value of the governor cannot be accurately monitored remotely.

[0050] Meanwhile, "this embodiment" in the graph is the secondary pressure value after data processing by the data processing program according to this embodiment. The data processing reduces the effect of the variation in the measurement value, falling within the range of 2.4±0.1. The inventors of the present application confirmed that this value after data processing is close to the secondary pressure value measured by a water column gauge, which has a long history as a measuring device, and is sufficiently suitable for remote monitoring. Water column gauges have been used since the early days of the city gas business because the working fluid has mass, just like mercury column gauges, and they are less susceptible to turbulence than sensors using diaphragms.

[0051] In order to quantitatively judge whether the value is close to the secondary pressure value measured by the water column gauge, it is preferable to determine the standard deviation of the secondary pressure value after data processing. Since the level of the water column gauge hardly moves in turbulent flow, the standard deviation is close to zero.

[0052] In this embodiment, the "average value" in Fig. 3 is calculated using three consecutive secondary pressure values ​​sampled at 1.2 millisecond intervals, and since data is sampled approximately 190 million times per year, the battery life is approximately 15 months. This is merely an example, and the calculation may be performed using two or four consecutive secondary pressure values ​​sampled at 1.2 millisecond intervals. The number of consecutive values ​​used to calculate the average value may be remotely set using, for example, the monitoring device 50.

[0053] When the "average value" in FIG. 3 is calculated using two consecutive secondary pressure values ​​sampled at 1.2 millisecond intervals, for example, the average value at 0 seconds is (P11+P12) / 2, and the average value at 0.5 seconds is (P21+P22) / 2. Then, data processing is performed by calculating the corrected moving average value using these average values. This value is plotted in the graph shown in FIG. 4, which is the "variation 1" in FIG. 4. According to this "variation 1", the variation of the corrected moving average value becomes larger than that of the present embodiment, but the amount of battery consumption of the sensor control unit 14 is reduced by the amount of data used to calculate the average value being reduced. Therefore, it is effective in areas with low average temperatures where chemical reactions are difficult to occur inside the battery and the battery life is shortened. In areas with average temperatures in Japan, data sampling is performed about 130 million times per year, so the battery life is about 17 months.

[0054] When the "average value" in FIG. 3 is calculated using two consecutive secondary pressure values ​​sampled at 1.2 millisecond intervals, for example, the average value at 0 seconds is (P11+P12+P13+P14) / 4, and the average value at 0.5 seconds is (P21+P22+P23+P24) / 4. Then, data processing is performed by using these average values ​​to calculate the corrected moving average value. This value is plotted in the graph shown in FIG. 4 as "Modification 2" in FIG. 4. According to this "Modification 2", the variation of the corrected moving average value is smaller than in this embodiment, but the amount of battery consumption of the sensor control unit 14 increases because the number of data used to calculate the average value increases. For this reason, it is effective in areas with high average temperatures where chemical reactions are likely to occur inside the battery and the battery life is extended. In areas with average temperatures in Japan, data sampling is performed about 250 million times per year, so the battery life is about 13 months. If there is no major cold wave and the temperature is normal, the setting is set so that it can be used for one year.

[0055] Note that "moving average only" in Figure 4 indicates the result of calculating the corrected moving average value using the measured values ​​every 0.5 seconds without calculating the average value in Figure 3. Since there is a variation of more than ±0.1 KPa from the set pressure of 2.4 KPa, it can be said that the influence of the variation in the measured value cannot be completely eliminated. If the value varies like this, it will exceed the predetermined threshold and be recorded as an abnormal value, or it will be erroneously judged as an abnormal operation, so the secondary pressure value cannot be monitored accurately. Therefore, it is not preferable.

[0056] Also, if the "average value" in Figure 3 is calculated using five consecutive secondary pressure values ​​sampled at 1.2 millisecond intervals, it will be possible to eliminate the effects of variability in the measurement values, but the data will be sampled approximately 300 million times per year, resulting in a battery life of approximately 11 months. For this reason, it is difficult to operate for one year with a consecutive sampling setting of five samples. Therefore, it is not preferable to have more than five samples.

[0057] Furthermore, in this embodiment, the sampling interval is set to 1.2 milliseconds, but is not limited to this and may be set in the range of 1 millisecond to 1.5 milliseconds.

[0058] Furthermore, in this embodiment, the interval for calculating the corrected moving average is set to 0.5 seconds, but is not limited to this and may be set in the range of 0.1 to 3 seconds. For example, when used with the monitoring device 50, it may be possible to select from 0.1, 0.3, 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0 seconds from a remote location.

[0059] The interval for calculating the corrected moving average is determined depending on the type of gas, for example. City gas is supplied to many consumers, so a large-capacity governor is installed and managed as an important facility. In addition, the pressure difference between the primary and secondary pressures of the governor is large, and the governor's operation is also large and fast, so there is a need to monitor as closely as possible, and the interval for calculating the corrected moving average is shortened. Specifically, the interval is 0.1 seconds, 0.3 seconds, and 0.5 seconds. On the other hand, the monitoring level for LP gas is not as high as that for city gas, and the interval for calculating the corrected moving average can be 1.0 seconds, 1.5 seconds, 2.0 seconds, 2.5 seconds, and 3.0 seconds. In the case of LP gas, although there is a purpose of monitoring the operation of the governor (secondary pressure), the main purpose is to check the primary pressure of the governor (output pressure of the cylinder tank) to determine whether the LP cylinder tank has run out of fuel. In this case, an interval of 1.0 second or more is sufficient for monitoring.

[0060] In addition, the interval for calculating the corrected moving average value can be set to a longer interval (e.g., 1.0 sec, 1.5 sec, 2.0 sec, 2.5 sec, 3.0 sec) to reduce battery consumption if you simply want to know the secondary pressure value, but can be set to a shorter interval (e.g., 0.1 sec, 0.3 sec, 0.5 sec) to predict governor operation from the secondary pressure value.

[0061] The interval for calculating the corrected moving average value and the sampling interval may also be changed depending on the season. For example, only in winter, when misjudgments are more likely, it is possible to set the period for the corrected moving average process to 0.5 seconds or less, and the sampling interval to 1.2 milliseconds and 3 times or more. A period for the corrected moving average process of 0.5 seconds, a sampling interval of 1.2 milliseconds and 3 times is a setting that strikes a good balance between battery consumption and monitoring accuracy for the average temperature in Japan.

[0062] (About the action and effect) As described above, the governor monitoring system 100 of this embodiment is characterized in that (1) in the governor monitoring system 100 including a governor 11 provided in a gas pipe 90 and adjusting the pressure of the gas flowing through the gas pipe 90, a secondary pressure sensor 13B for measuring a pressure value (secondary pressure value) of the gas downstream of the governor 11, and a sensor control unit 14 for controlling the secondary pressure sensor 13B, the sensor control unit 14 includes a data processing program for performing data processing on information of the pressure value measured by the secondary pressure sensor 13B, and the data processing program performs data processing by calculating a corrected moving average value based on the above formula (Mathematical Formula 2) at intervals of 0.1 seconds or more and 3 seconds or less, with N=2.

[0063] (2) In the governor monitoring system 100 described in (1), it is preferable that the data processing program uses, as the price in the above formula (Mathematical Formula 2), the average value of two to four consecutive pressure values ​​measured by the secondary pressure sensor 13B at an interval of 1 millisecond to 1.5 milliseconds.

[0064] (3) In the governor monitoring system 100 described in (2), it is preferable that the data processing program uses the average value of three consecutive pressure values ​​measured by the secondary pressure sensor 13B at intervals of 1.2 milliseconds as the price in the above formula (Mathematical Formula 2).

[0065] Furthermore, the data processing method for a governor according to this embodiment is characterized in that (4) in the data processing method for a governor, information on the downstream gas pressure value (secondary pressure value) of the governor 11, which adjusts the pressure of the gas flowing through the gas pipe 90, is obtained by the secondary pressure sensor 13B and data processing is performed on the information, the data processing is performed by calculating a corrected moving average value at intervals of 0.5 seconds, with N=2, based on the above formula (Equation 2).

[0066] (5) In the governor data processing method described in (4), it is preferable to use, as the price in the above formula (Mathematical Formula 2), the average value of two to four consecutive pressure values ​​measured by the secondary pressure sensor 13B at an interval of 1 millisecond to 1.5 milliseconds.

[0067] (6) In the governor data processing method described in (5), it is preferable to use the average value of three consecutive pressure values ​​measured by the secondary pressure sensor 13B at intervals of 1.2 milliseconds as the price in the above formula (Mathematical Formula 2).

[0068] According to the above governor monitoring system 100 or the governor data processing method, the pressure value (secondary pressure value) of the gas downstream of the governor 11 measured by the secondary pressure sensor 13B is processed by the modified moving average. The modified moving average adds the latest secondary pressure value measured by the secondary pressure sensor 13B to the previous modified moving average, so that the influence of the variation in the measured value can be reduced. Therefore, the secondary pressure value can be monitored more accurately. In addition, when calculating the modified moving average, by setting N=2, the influence of the past measured value can be minimized, so that the current secondary pressure value can be expressed more accurately. In addition, since the data processing by the modified moving average does not require complicated arithmetic processing, it is possible to operate for a long time (one year or more) with batteries (for example, four D batteries). In addition, the interval for calculating the modified moving average is preferably 0.1 seconds or more and 3 seconds or less. If the interval is shorter than 0.1 seconds, the battery will drain rapidly, making it difficult to operate the device on battery power for long periods of time; if the interval is longer than 3 seconds, the influence of variation in the measurement values ​​will increase, making accurate remote monitoring difficult.

[0069] In addition, it is preferable that the value used as the price in the above formula (Equation 2) is the average value of two to four consecutive pressure values ​​measured by the secondary pressure sensor 13B at intervals of 1 to 1.5 milliseconds, and it is even more preferable that the value used as the price in the above formula (Equation 2) is the average value of three consecutive pressure values ​​measured by the secondary pressure sensor at intervals of 1.2 milliseconds.

[0070] The reason why the measurement interval is set to 1 millisecond or more and 1.5 milliseconds or less is that if it is shorter than 1 millisecond, the battery will be consumed rapidly, making it difficult to operate for a long time on the battery, and if it is longer than 1.5 milliseconds, the influence of the variation in the measurement value will be large, making accurate remote monitoring difficult. The reason why the average value of 2 to 4 consecutive pressure values ​​is used is that if there are fewer than 2 pressure values ​​(i.e., the average value is not calculated), the influence of the variation in the measurement value cannot be eliminated, making it impossible to accurately monitor the secondary pressure value, and if there are more than 4 pressure values, the battery will be consumed rapidly, making it difficult to operate for a long time (more than one year) on the battery. In particular, the inventors of the present application have confirmed through experiments that the best balance between eliminating the influence of the variation in the measurement value and battery consumption is achieved by using the average value of three consecutive pressure values ​​measured by the secondary pressure sensor 13B at an interval of 1.2 milliseconds as the price in the above formula (Formula 2).

[0071] The above embodiment is merely an example and does not limit the present invention in any way. Therefore, the present invention can be improved and modified in various ways without departing from the scope of the present invention. For example, the communication unit 20 in this embodiment is installed in the governor room 10, but the communication unit may be installed outside the governor room. [Explanation of symbols]

[0072] 11 Governor 13B Secondary pressure sensor 14 Sensor control unit 90 Gas Pipe 100 Governor Monitoring System

Claims

1. a governor provided in the gas pipe and configured to adjust the pressure of the gas flowing through the gas pipe; a secondary pressure sensor for measuring a pressure value of the gas downstream of the governor; A sensor control unit that controls the secondary pressure sensor; A governor monitoring system comprising: the sensor control unit includes a data processing program for performing data processing on information of the pressure value measured by the secondary pressure sensor; the data processing program performs the data processing by calculating a corrected moving average value at intervals of 0.1 seconds or more and 3 seconds or less based on the following formula (Formula 1), where N=2; A governor monitoring system that features: [0010] In the above formula (Formula 1), MMA ｔｏｄａｙ stands for Modified Moving Average, MMA ｙｅｓｔｅｒｄａｙ means the previous corrected moving average value, and price means the pressure value measured by the secondary pressure sensor.

2. The governor monitoring system according to claim 1, The data processing program is As the price in the formula 1, the average value of two to four consecutive pressure values ​​measured by the secondary pressure sensor at an interval of 1 millisecond to 1.5 milliseconds is used; A governor monitoring system that features:

3. The governor monitoring system according to claim 2, The data processing program is As the price in the formula 1, the average value of three consecutive pressure values ​​measured by the secondary pressure sensor at intervals of 1.2 milliseconds is used. A governor monitoring system that features:

4. 1. A data processing method for a governor, comprising: acquiring information on a pressure value of a gas downstream of a governor that adjusts the pressure of the gas flowing through a gas pipe using a secondary pressure sensor; and performing data processing on the information, said data processing being carried out by calculating a modified moving average value at 0.5 second intervals, where N=2, based on the following formula (Math. 2): A data processing method for a governor, comprising: [0025] In the above formula (Formula 1), MMA ｔｏｄａｙ stands for Modified Moving Average, MMA ｙｅｓｔｅｒｄａｙ means the previous corrected moving average value, and price means the pressure value measured by the secondary pressure sensor.

5. 5. The governor data processing method according to claim 4, As the price in the formula 2, an average value of two to four consecutive pressure values ​​measured by the secondary pressure sensor at an interval of 1 millisecond to 1.5 milliseconds is used; A data processing method for a governor, comprising:

6. 6. The governor data processing method according to claim 5, As the price in the formula 2, the average value of three consecutive pressure values ​​measured by the secondary pressure sensor at intervals of 1.2 milliseconds is used. A data processing method for a governor, comprising:

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