JP2007141128A - Maintenance management system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide further high-frequency abnormal data to a worker who performs maintenance. <P>SOLUTION: A maintenance management terminal device 17 comprises an abnormality data extraction means 17b retrieving past abnormal data from a database 17a based on abnormality report transmitted from management terminals 14A-14Z and extracting data of high-frequency items, and an abnormal data transmission means 17c transmitting, upon receipt of abnormality report from the management terminal devices 14A-14Z, past abnormal data of a liquid feed station to a cellular phone 50 of a worker who is in charge of the liquid feed station by e-mail through the Internet 15. Therefore, the maintenance terminal device 17 can report, upon receipt of abnormality report from any one of the management terminal devices 14A-14Z, high-frequency abnormal data of past abnormality contents to the cellular phone 50 of the worker who is in charge of the area concerned. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a maintenance management system, and more particularly to a maintenance management system configured so that an operator who performs maintenance of a fuel supply unit obtains information based on past abnormality data of the fuel supply unit to improve work efficiency.

  Hereinafter, a maintenance management system used in a fuel supply system that supplies fuel such as gasoline and light oil will be described as an example.

  2. Description of the Related Art In recent years, a maintenance management system for inspection and repair by a maintenance company has been introduced at a liquid supply station that supplies fuel such as gasoline and light oil to a fuel tank of a vehicle.

  In this type of maintenance management system, the number of fuel supply times and the total liquid supply amount of each weighing machine are managed by a POS or a management terminal device. For example, the number of days or months elapsed since the previous maintenance is managed. Then, when the inspection items of each device reach a predetermined number of elapsed days or months, maintenance personnel of the maintenance company regularly inspect the weighing machine.

  However, even if an abnormality occurs in the equipment of the measuring machine, if the staff at the gas station is not immediately aware of the occurrence, the staff at the liquid station requests repairs from the maintenance company when the operation of the measuring machine becomes impossible. Therefore, until the worker is dispatched from the maintenance company, the refueling is prohibited. For this reason, it is desired that at the liquid supply station, if an abnormality occurs in the weighing machine, it can be repaired quickly and refueling can be resumed quickly.

In order to solve such problems, by checking the information of each liquid station stored in the maintenance terminal device, it is possible to confirm on the spot which liquid station needs inspection and repair. A system has been developed that efficiently performs maintenance according to the degree of importance of abnormality content (see, for example, Patent Document 1).
JP 2003-31798 A

  However, in the conventional system described above, the worker can only confirm at which liquid supply station inspection and repair is necessary, and the worker himself / herself checks the actual repair location. For example, the type and installation of the weighing machine In spite of the fact that the parts that are prone to failure often differ depending on the time, etc., beginners who have relatively little experience in maintenance work will start checking without knowing the properties of the weighing machine, There was a problem that it took longer to inspect and repair than the staff.

  Accordingly, an object of the present invention is to provide a maintenance management system that solves the above-described problems.

  In order to solve the above problems, the present invention has the following means.

  According to the first aspect of the present invention, there is provided a management terminal device that manages a fuel supplier that supplies fuel, a maintenance terminal device that is communicably connected to the management terminal device via a communication line, and the management terminal device. A maintenance database that stores the transferred abnormality data of the fuel supply device, wherein the maintenance terminal device searches the abnormality data of the past based on the abnormality notification, and is a frequently-used item. An abnormal data extracting means for extracting the data is provided.

  The invention according to claim 2 is characterized in that the abnormal data extracting means uses a total value of values obtained by multiplying the number of abnormal occurrences in the predetermined period by a coefficient set for each predetermined period in the past from the present as a frequency. Features.

  The invention according to claim 3 is characterized in that the abnormal data extracting means extracts data of high-frequency items for a specific period including a day when the abnormality is notified.

  According to the present invention, the past abnormality data is searched from the database based on the information notified of the abnormality, and the data of the item with high frequency is extracted. It is possible to check a place where the feeder is likely to break down, and thus it is possible to shorten the maintenance time by first checking the place where the past occurrence of abnormality is the highest.

  Further, according to the present invention, since the total value of the values obtained by multiplying the coefficient set for each predetermined period in the past by the current number as the number of occurrences of abnormalities in the predetermined period is used as the frequency, for example, By calculating by discounting the frequency, it is possible to increase the frequency of the latest abnormal data, thereby leading to the inspection from the abnormal location that has occurred as recently as possible.

  In addition, according to the present invention, since data of high-frequency items is extracted for a specific period including the day when the abnormality is notified, it is possible to extract high-frequency abnormality data in a preset period. Thus, for example, it is possible to select an abnormality caused by a seasonal temperature difference or an anomaly that is likely to occur at a time of high humidity, and perform inspection and repair efficiently.

  The best mode for carrying out the present invention will be described below with reference to the drawings.

  FIG. 1 is a block diagram showing an embodiment of a maintenance management system according to the present invention. As shown in FIG. 1, the maintenance management system 10 includes a weighing machine 12 (12A to 12Z) installed in the liquid supply stations A to Z, and a management terminal device 14A to 14G for managing the weighing machines 12 (12A to 12Z). 14Z and a maintenance terminal device 17 installed in the maintenance company 13.

Each management terminal device 14A-14Z is connected so as to be communicable with the weighing machine 12 (12A-12Z) of each liquid supply station A-Z. In addition, the management terminal devices 14A to 14Z of the plurality of liquid supply stations A to Z are connected to the maintenance terminal device 17 through the public line and the Internet 15 so as to be able to communicate individually. An operator who performs maintenance of the weighing machine 12 is in charge of a plurality of liquid supply stations divided into regions, and each has a mobile phone 50 ₁ to 50 _n .

Furthermore, the maintenance terminal device 17 searches the abnormal data transmitted from the management terminal devices 14A to 14Z for past abnormal data from the database 17a, and extracts abnormal data extraction means 17b. When the abnormality notification is received from the management terminal devices 14A to 14Z, the past abnormality data of the liquid supply station (the type of the weighing machine) is transmitted to the mobile phone 50 of the worker who is in charge of the liquid supply station via the Internet 15. , Abnormal data transmission means 17c for transmitting information including abnormal contents, repair date and frequency) by e-mail.
Therefore, when there is an abnormality notification from any of the management terminal devices 14A to 14Z, the maintenance terminal device 17 transmits the abnormality data to the mobile phone 50 of the worker who is in charge of the area, and becomes a target weighing machine. Of the twelve past abnormal contents, high-frequency abnormal data can be notified.

  Thereby, when there is a notification of abnormality, the worker can check the information related to the liquid supply station stored in the database 17a with the mobile phone 50. Therefore, when the worker arrives at the liquid supply station, immediately It is possible to inspect and repair abnormal points, and shorten the maintenance time.

  Since each of the liquid supply stations A to Z has the same configuration, the configuration of the liquid supply station A will be described with reference to FIG.

  As shown in FIG. 2, the control circuit 16 of the weighing machine 12 </ b> A is communicably connected to a management terminal device 14 </ b> A installed in the office of the liquid supply station via a communication line (SS-LAN) 18. .

  The management terminal device 14A includes liquid supply information (including information such as the amount of liquid supplied to the vehicle, oil type, amount of liquid supplied, etc.) output from the plurality of measuring machines 12A, and maintenance information (abnormal content of each device). And abnormal information such as the presence or absence of repairs). And the management terminal device 14A will memorize | store the information transmitted separately from each weighing machine 12A in the memory | storage device 19, if the liquid supply to a vehicle is performed.

  Further, the control circuit 16 of the weighing machine 12A transmits liquid supply information and maintenance information to the management terminal device 14A every time liquid supply is completed. When there is abnormal data in the maintenance information transmitted from the control circuit 16 of the weighing machine 12A, the management terminal device 14A sends the abnormal data to the maintenance terminal device 17 of the maintenance company 13 via the public line and the Internet 15. Send.

  When the maintenance terminal device 17 of the maintenance company 13 transfers the abnormal data from the management terminal devices 14A to 14Z of the respective liquid supply stations A to Z that are always in a maintenance contract, the received abnormal data is transferred to each weighing machine 12. Is stored in the database 17a.

  Therefore, employees of the maintenance company 13 need to check and repair at any liquid supply station A to Z by checking the contents of the abnormality data of each liquid supply station A to Z stored in the maintenance terminal device 17. Can be confirmed on the spot. Furthermore, the worker who performs maintenance can check the abnormality data of each measuring machine that performs inspection and repair on the day based on the latest information obtained from the maintenance terminal device 17 before the departure from the sunrise.

  The measuring machine 12A is provided with a liquid supply pump 22, a flow meter 24, and a flow rate control valve 26 in a liquid supply pipe line 20 for pumping oil liquid from an underground tank (not shown) buried underground in the liquid supply station. Yes. A liquid supply nozzle 30 is provided at the tip of the liquid supply hose 28 communicated with the discharge port of the flow control valve 26. The flow control valve 26 is opened by a valve opening signal from the control circuit 16, and is closed when the valve opening signal is turned off.

  The liquid supply nozzle 30 is hooked on a nozzle hook 32 provided on the side surface of the housing of the liquid supply apparatus 12, and is removed from the nozzle hook 32 when the fuel is supplied to the vehicle. The nozzle hook 32 is provided with a nozzle switch 34 for detecting the presence or absence of the liquid supply nozzle 30. The nozzle switch 34 is configured to be turned off when the liquid supply nozzle 30 is engaged with the nozzle hook 32 and to be turned on when the liquid supply nozzle 30 is removed from the nozzle hook 32.

  The casing of the liquid supply device 12 is supplied to the vehicle by a pump motor 36 that drives the liquid supply pump 22, a pulse transmitter 38 that outputs a flow rate pulse proportional to the flow rate measured by the flow meter 24, and the vehicle. And a display 40 for displaying the integrated value.

  Further, the pump motor 36 is provided with a temperature sensor 36a. The temperature sensor 36a monitors the temperature when the pump motor 36 is activated, and outputs a temperature detection signal to the control circuit 16 when the temperature of the pump motor 36 exceeds a preset allowable temperature. Further, the control circuit 16 is electrically connected to each device of the flow control valve 26, the nozzle switch 34, the pump motor 36, the temperature sensor 36a, the pulse transmitter 38, and the display device 40.

  When an ON signal is input from the nozzle switch 34, the control circuit 16 activates the pump motor 36 and opens the flow control valve 26 to enable liquid supply. Further, when the flow rate pulse is output from the pulse transmitter 38 by the valve opening operation of the liquid supply nozzle 30, the control circuit 16 displays the liquid supply amount calculated from the integrated value of the flow rate pulse on the display 40. Execute control processing.

  Then, when the nozzle switch 34 is turned off, the control circuit 16 stops the pump motor 36 and stops the pump motor 36 and closes the flow rate control valve 26 to calculate the liquid supply fee according to the liquid supply amount. To display.

  FIG. 3 is a diagram schematically showing the accident case table 51 stored in the database 17a. As shown in FIG. 3, the accident case table 51 stores information on items such as the date of occurrence of an abnormality, the name of a service station, the type of a weighing machine, the nozzle number, the content of the abnormality, and the part number repaired or replaced. Yes. In the accident case table 51, when an abnormality notification is received from each liquid supply station, each abnormality data is stored in the order of occurrence of the abnormality.

  As described above, the weighing machine 12 is equipped with various devices such as the feed pump 22, the flow meter 24, the flow control valve 26, the nozzle switch 34, the pump motor 36, the temperature sensor 36a, the pulse transmitter 38, and the display 40. Each device is inspected at predetermined intervals during regular inspection. On the other hand, the liquid supply station does not know which device has failed. For example, the liquid supply pump 22 does not operate, the measured value of the flow meter 24 is small, or the discharge amount is smaller than usual. The phenomenon is often notified to the maintenance company 13 as an abnormal content.

  In the present embodiment, as a phenomenon that occurs in the weighing machine 12, for example, oil leakage in the weighing machine 12, a decrease in flow rate, abnormal noise, and the like will be described below as an example. For example, in FIG. 3, in the case of an oil leak that occurred in 2005/01/01, the number corresponding to the seal member and the bolt that presses the seal member (SS3541, SS0071) is stored in the repaired or replaced part number item. Has been.

  In addition, if the abnormal content that occurred in 2005/01/03 is a decrease in flow rate, the number corresponding to the pump motor that drives the pump and the rotor of the pump (SS0909) is stored in the repaired or replaced part number item. Yes.

  Also, if the abnormal content that occurred in 2005/01/05 is unusual, no number has been entered in the repaired or replaced part number field, so the worker may not have inspected or repaired it yet. I understand.

  Further, it can be determined from the nozzle number which liquid type supply system of the weighing machine 12 has an abnormality.

  It is also possible to estimate the current abnormality location by searching the abnormality data that has occurred in the past from the model of the weighing machine 12.

  Here, the control process executed by the maintenance terminal device 17 will be described with reference to the flowchart shown in FIG. In S11 of FIG. 4, when the maintenance terminal device 17 receives the abnormal data e-mail from the management terminal devices 14A to 14Z of the liquid supply stations, the maintenance terminal device 17 converts the abnormal data described in the received e-mail into the accident case table 51. And recognizes that an abnormality has occurred at the source liquid station.

  In the next S12, a replacement part corresponding to the same abnormality content is searched from past data registered in the accident case table 51 shown in FIG. 3 using the current abnormality content (for example, oil leakage, abnormal noise, etc.) as a keyword, An abnormal content table 52 as shown in FIG. 5 is created from the search result. With this abnormal content table 52, for example, there are as many as 235 parts SS3541 replacements as a response to the occurrence of an oil leak. Therefore, the frequency of inspection and replacement of parts SS3541 is high. It can be seen that it is efficient to perform the inspection first.

  Subsequently, in S13, in order to deal with this abnormality content, for example, an e-mail instructing to start from a frequently occurring part (inspection and replacement of part SS3541) among the replaced part numbers as shown in FIG. 54 sentences are created.

  Then, the process proceeds to S14, and an abnormality notification e-mail 54 (see FIG. 6) is transmitted to the mobile phone 50 of the worker in charge of the liquid supply station where the abnormality has occurred. As a result, the worker can easily confirm the location to be checked first by looking at the e-mail 54 received at the mobile phone 50. Therefore, even a worker who is not skilled in the maintenance of the weighing machine 12 can first check a place that seems to be a failure according to the abnormality content of the weighing machine 12, so that the maintenance time can be shortened. become.

  Further, as shown in FIG. 7, instead of the abnormal content table 52, it is possible to set so that the abnormal content table 56 is created by searching for the model of the weighing machine 12 as a keyword. . In this abnormal content table 56, failure points that are likely to occur depending on the type of the weighing machine 12 can be easily understood, so that the failure point specific to the type of the weighing machine 12 can be checked first. Therefore, if the weighing machine 12 is of the same type, there is a high possibility of failure at substantially the same location. For example, even if the content of abnormality is oil leakage, the packing at the same location is often damaged. Maintenance work can be quickly performed by inspecting frequently-used places according to the type of the weighing machine 12 with the separate table 56.

  Further, instead of the abnormal content-specific table 52, as shown in FIG. 8, it is possible to set so that the abnormal content-specific table 58 is created by searching for the liquid supply station name as a keyword. Since this abnormal content table 58 is easy to identify failure points that are likely to occur depending on the location conditions and construction time of the liquid station where the weighing machine 12 is installed, first check the failure point specific to the liquid station. Can do. For this reason, abnormal locations that are likely to occur depending on the liquid supply station can be found from past data.For example, even if the abnormal content is oil leakage, the packing at the same location as the previous case is often damaged. Maintenance work can be performed promptly by checking the high frequency part of the liquid supply station.

  FIG. 9 is a diagram schematically showing the abnormal content table 59 when a specific period is set. As shown in FIG. 9, for example, when a period from 1/1 to 3/31 is set, an abnormal content-specific table 59 in which abnormal data corresponding to the period is extracted is created. Since this period can be arbitrarily set, for example, a month or day may be designated, or a season may be designated. It is also possible to obtain more detailed abnormality data by specifying the day of the week or a specific time zone.

  According to this abnormal content table 59, the items to be checked first can be determined from the frequency of abnormal data corresponding to a specific period that the worker wants to know. For example, abnormal data or temperature It is possible to check abnormal data that is likely to occur in high seasons, or abnormal data that occurs periodically on days of the week or specific times.

  Therefore, since it is possible to extract the data of high frequency items for a specific period including the day when the abnormality is notified, the abnormal data with high frequency in the preset period is confirmed. It is possible to select an abnormality caused by a temperature difference between the two and an abnormality that is likely to occur at a time of high humidity, and perform inspection and repair efficiently.

  FIG. 10 is a flowchart illustrating a control process executed by the maintenance terminal device 17 according to the second embodiment. In the accident case table 51 stored in the database 17a, all the past abnormal data is stored, so that the abnormal contents are different every year and old abnormal contents are also accumulated. For example, there may be a case where a defect that occurred at the time of launching a new product has been improved by replacing parts and there is almost no failure at the same location. In such a case, abnormal data from several years ago is not adapted to the current data, so if the frequency is calculated as it is based on the number of abnormal data in the past, there will be a difference from the actual abnormal content.

  Therefore, in the present embodiment, the frequency of occurrence of abnormality is weighted by multiplying the past number of abnormalities by an aging coefficient. That is, by correcting the frequency of the old abnormal content, the frequency of the latest abnormal content is relatively increased so that the latest information is prioritized over the abnormal data transmitted to the worker.

  As shown in FIG. 10, when the abnormal data e-mail is transferred from the management terminal devices 14A to 14Z of each liquid supply station in S21, the maintenance terminal device 17 outputs the abnormal data described in the received e-mail. Is stored in the accident case table 51, and it is recognized that an abnormality has occurred at the source liquid station.

  In the next S22, a replacement part corresponding to the same abnormality content is retrieved from past data registered in the accident case table 51 shown in FIG. 3 using the current abnormality content (for example, oil leakage, abnormal noise, etc.) as a keyword, As shown in FIG. 11, a table is formed at a frequency obtained by multiplying the number of occurrences of abnormality by an aging coefficient extracted from the aging coefficient table 60 (a coefficient corresponding to the number of years going back from the occurrence of the abnormality). As a result, the frequency of the abnormality content table 52 shown in FIG. 5 is corrected by the aging coefficient. For example, the number of abnormalities three years ago is corrected as half the number of abnormalities one year ago. The aging coefficient is not limited to the value shown in FIG. 11, but can be set to an arbitrary value so that the latest abnormal data is prioritized.

  Subsequently, in S23, in order to deal with this abnormal content, the text of the e-mail 54 instructing to perform the inspection and repair first from the part with the high frequency obtained by multiplying the aging coefficient is created.

  Then, the process proceeds to S24, and an abnormality notification e-mail 54 (see FIG. 6) is transmitted to the cellular phone 50 of the worker in charge of the liquid supply station where the abnormality has occurred. Thereby, the worker can check the abnormal data weighted according to the number of years since the occurrence of the abnormality by looking at the e-mail 54 received at the mobile phone 50. For this reason, even a worker who is not skilled in maintenance of the weighing machine 12 can first check a place that seems to be a failure according to the latest abnormality content of the weighing machine 12, so that the maintenance time can be shortened. Is possible.

  The aging coefficient may be multiplied by the same value regardless of the abnormality content, but the aging coefficient different for each part number as shown in the aging coefficient table 62 shown in FIG. You may make it set. In this case, it is possible to correct the frequency with an aging coefficient corresponding to the abnormality content and to correct the weighting for each abnormality content so that the latest abnormality data is prioritized.

  In the above embodiment, the fuel supply machine that supplies an oil liquid such as gasoline has been described as an example. However, the present invention is not limited to this, and the present invention is a maintenance of a fuel supply machine that supplies a gas such as propane gas, CNG, or hydrogen. Of course, the present invention can also be applied.

  Moreover, in the said Example, although the method of notifying an abnormal data to an operator by sending an e-mail to the mobile phone which an operator possesses was mentioned as an example, it is not restricted to this, for example, a portable terminal device ( The abnormal data may be transmitted to a notebook computer or the like, or the abnormal data may be transmitted to an in-vehicle computer mounted on a vehicle used by a worker.

  Further, in the above embodiment, the e-mail is transmitted to the mobile phone possessed by the worker. However, it is not always necessary to transmit the e-mail. For example, the worker can use each terminal device of the maintenance company to supply each e-mail. A method of confirming the abnormality data of the liquid place may be used.

It is a block diagram which shows one Example of the maintenance management system which becomes this invention. It is a systematic diagram which shows the structure of a liquid supply station, and the communication system of 14 A of management terminal devices, and the terminal device 17 for a maintenance. It is a figure which shows typically the accident example table 51 memorize | stored in the database 17a. It is a flowchart which shows the control processing which the terminal device for maintenance 17 of Example 1 performs. It is a figure which shows typically the abnormal content table 52. FIG. It is a figure which shows the text of the electronic mail. It is a figure which shows the abnormal content classified table 56 typically. It is a figure which shows typically the table 58 according to abnormal content. It is the figure which showed typically the abnormal content classification table 59 at the time of setting a specific period. It is a flowchart which shows the control processing which the terminal device 17 for maintenance of Example 2 performs. It is a figure which shows the aging coefficient table 60 typically. It is a figure which shows the aging coefficient table 62 typically.

Explanation of symbols

10 Maintenance Management System 12 (12A~12Z) weighing machine 13 maintenance company 14A~14Z management terminal device 15 Internet 16 the control circuit 17 the maintenance terminal device 17a database 17b abnormal data extracting means 17c abnormality data transmission means ₅₀ 1 to 50 _n mobile phone 51 Accident case table 52 Abnormal content table 54 E-mail 58 Abnormal content table 60 Aged coefficient table 62 Aged coefficient table

Claims (3)

A management terminal device for managing a fuel supply machine for supplying fuel;
A maintenance terminal device communicably connected to the management terminal device via a communication line;
In a maintenance management system having a database for accumulating abnormality data of the fuel supply machine transferred from the management terminal device,
The maintenance terminal system includes an abnormal data extraction unit that retrieves past abnormal data from the database based on an abnormality notification and extracts data of items with high frequency.   2. The abnormality data extraction unit uses the sum of values obtained by multiplying the number of occurrences of abnormality in the predetermined period by a coefficient set for each predetermined period in the past from the present as a frequency. Maintenance management system.   2. The maintenance management system according to claim 1, wherein the abnormality data extracting unit extracts data of a high-frequency item for a specific period including a day when the abnormality is notified.

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