JP2002023830A - Method for predicting batch checking time and system for the same - Google Patents

Abstract

PROBLEM TO BE SOLVED: To promote efficiency according to batch contract and maintenance control management, and to promote the enlargement of a maintenance range and the multi-capabilities of the maintenance staff. SOLUTION: This method and system for predicting batch checking time collects monitor data indicating the specific state of each device from plural devices to be monitored, and sets a monitor line and checking time line which is made common to each device and searches the trend of each monitor data by adding a factor adapted at the time of setting the common monitor line and checking time line to each monitor data, and contrasts the trend of each monitor data for the common monitor line and checking time line.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and system for predicting inspection time of a combined apparatus or plant or factory.

[0002]

2. Description of the Related Art Inspections in complex apparatuses or plants or factories have been predicted and set for inspection times suitable for each apparatus. For example, an electronic factory has power receiving equipment, uninterruptible power supply equipment, power generation equipment, utilities, manufacturing equipment, environmental equipment, air conditioning equipment, and an information processing system. A maintenance company and a large number of maintenance staff were involved in the inspection and repair.

[0003]

In carrying out maintenance to cope with wear and deterioration, various types of equipment are scattered, and each equipment, each equipment, individual / maintenance becomes an individual contractor / individual maintenance, and the number of maintenance personnel increases. (Increasing man-hours for operation and inspection, occurrence of duplicate work, impeding standardization)
Furthermore, equipment repair costs increased (manufacturer-dependent periodic maintenance, excessive maintenance).

[0004] In view of the above, the present invention solves these problems, promotes efficiency by collective contracting and maintenance management, promotes the maintenance range, and promotes versatility of maintenance personnel. It is an object of the present invention to provide a method and system for predicting a batch inspection time.

[0005]

Means for Solving the Problems When remote monitoring is carried out, conventionally, the interface differs depending on the manufacturer and equipment of each facility on the customer side, and there have been situations where connection is difficult.

[0006] Therefore, digital input / output, analog input / output, RS-232C,
A standard “interface open type data collection device” with a unified interface mounting RS-485 or the like is provided. A customer who wants to receive a remote monitoring service connects a signal to be monitored to this “interface open data collection device” and sets an alarm condition.・ A common inspection time line and / or a common monitoring line are provided, and monitoring data (including the predicted value of the monitoring data is also included in the monitoring data) is displayed in comparison to clarify the inspection prediction time for each device and collectively. Be able to set the inspection time. -The remote monitoring service provider performs remote monitoring based on connection signals and alarm conditions with a unified interface. -The remote monitoring service provider calculates the service provision fee from the number of signals connected to the "interface open data collection device". Make service fees clearly understandable to customers.

The present invention specifically provides the following method and apparatus.

According to the present invention, monitoring data indicating a state unique to each device from a plurality of devices to be monitored is collected, a monitoring line and a common inspection time line are set for each device. Collective inspection time to determine the tendency by adding the factors applied in setting the common inspection time line to each monitoring data, and to compare the trend of each monitoring data to the monitoring line for the common inspection time line Provide a forecasting method.

According to the present invention, monitoring data indicating a state unique to each device is collected from a plurality of devices to be monitored, a common monitoring line and an inspection time line are set for each device, and a common monitoring line is set for each monitoring data. Collective inspection time prediction that calculates the tendency by adding the factors applied in setting the standardized monitoring line and inspection time line to each monitoring data, and compares the tendency of each monitoring data for the common monitoring line and inspection time line Provide a way.

The monitoring data can be a standard connection signal with a unified interface.

The batch inspection time may be predicted and set.

According to the present invention, there is provided a data collection device for collecting monitoring data indicating a state unique to each device from a plurality of devices to be monitored, and a data editing communication device for receiving the collected monitoring data and performing data editing communication. For each device, set a common inspection time line with the monitoring line, set the common inspection time line, and added the factors applied in setting the common inspection time line to each monitoring data. Provided is a batch inspection time prediction system provided with a monitoring device for comparing the tendency of each monitoring data with the monitoring line for a common inspection time line.

According to the present invention, there is provided a collection device for collecting monitoring data indicating a state unique to each device from a plurality of devices to be monitored, receiving the collected monitoring data and converting the data for performing data editing communication into an editing communication device. For each monitoring data, a common monitoring line and inspection time line are set for each device, and the factors applied in setting the common monitoring line and inspection time line are added to each monitoring data. The present invention provides a batch inspection time prediction system provided with a monitoring device that obtains the tendency of each of the monitoring data and compares the tendency of each monitoring data with respect to a common monitoring line.

The monitoring data for which the trend has been obtained may be displayed on the screen together with the common inspection time line and monitoring line.

The batch inspection time may be predicted by a program for predicting the inspection time, and the batch inspection time may be set.

According to the present invention, there is provided a data collection device for collecting monitoring data indicating a state unique to each device from a plurality of devices to be monitored, receiving the collected monitoring data and converting the data for performing data editing communication into an editing communication device. To set the inspection time line common to the monitoring line for each device, and add the factors applied in setting the common inspection line to each monitoring data, and add the factors applied to each monitoring data. And compare the trend of each monitoring data with the monitoring line for the common inspection time line, and set the alarm value line of each device, predict the rate of change from each monitoring data, and compare with the alarm line, Provided is a collective inspection prediction system provided with a monitoring device for displaying a comparison on a screen.

[0017]

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram showing an embodiment of the present invention.

Site (A) 1 or Site (B) 1 '
Includes a data editing communication device 2, a monitoring data collection device 3, and a private line (LAN) 4. The data editing communication device 3 is connected to a monitoring device 7 of a monitoring center 6 via a communication network 5 such as a telephone line, a dedicated line, and the Internet.

The monitoring data collection device 3 has a plurality of data collection devices 11. Although four data collection devices are shown in the figure, the invention is not limited to this. For example, as shown in the figure, the data collection device has ID001-005, ID006-
010 ID. The collected monitoring data is
The data is transmitted from the DEM 12 to the MODEM 13 or the LAN 14 of the data editing communication device 2 via the private line 4.

The data editing communication device 2 includes a processing device (personal computer) 19, and the processing device 19 is provided with data editing / communication dedicated software 15. The processing device 14 indicates a state unique to each device from the plurality of data collection devices 11, receives monitoring data by unifying the interface for each device, and processes and edits unified monitoring data that is unified. . For this processing / editing, data editing / communication dedicated software 15 is used. The unified monitoring data is transmitted from the MODEM 16 or the LAN 17 to the monitoring device 7 via the communication network 5 (collection of monitoring data). Normally, the monitoring device 7 is installed remotely from the site (A) 1 and serves as a remote monitoring device.

The monitoring device 7 includes a processing device (CPU) 18 and performs trend management of a device (plant) from which each data device 11 collects monitoring data on a screen of a screen device 19 controlled by the processing device (CPU). . The result of the trend management is used by the monitoring system 21 as provision as customer information, collective component management, or provision as accident information. The result is provided to a service station located nationwide via the service network 22 and is utilized.

FIG. 2 shows an example of connection between a plurality of devices to be monitored and the data collection device 11. In this example, a site having an air conditioner 25, a computer 26, and a wattmeter 27 as a monitoring target is shown. The data collection device 11
It has tags of S-485 (for long distance monitoring), RS-232C (for short distance monitoring), AI (analog signal), DI-1 (digital signal-1), and DI-2 (digital signal-2). A sensing device for monitoring each of the air conditioner 25, the computer 26, and the wattmeter 27 is incorporated in each device. Temperature information is measured from the air conditioner 25, and is input to TAGAI as an analog signal. The digital signal is input to TAG DI-1. The sensor information about the computer 26 is TAG RS-232.
C and the computer failure information is converted to a digital signal as T
Input to AG DI-2. From the wattmeter 27, data of each wattmeter is obtained one after another by a multi-brop method, and power amount information is input to the TAG RS-485. In this way, monitoring data indicating a state unique to each device is collected from a plurality of monitoring target devices.

FIG. 3 shows the appearance of an example in which the data collection device 11 is configured as a wall-mounted unit type device. The air conditioner failure information, the air conditioner temperature information, and the computer sensor information are respectively the alarm output terminal block 28 (including DI-1), the analog input / output terminal block 29 (including AI), and the digital input / output terminal block 30 (DI -2). These information are stored in LAN 121 or MODEM 1
2 is output via a communication network connected to the outside. The data collection device 11 has a power supply unit 31.

FIG. 4 shows in detail the state of collection and transmission of various information using the BUS line 35 of the data collection device 11. The BUS line 35 includes the microprocessor 3
6, a RAM 37 and a ROM 38 are connected to perform information input / output and information processing. The BUS line 35 is connected to a plurality of devices via AI, AO, DI, DO, and a serial I / F as shown in the figure, and is connected to the data editing device 2 via the MODEM 12 or the LAN 12 '.

FIG. 5 shows equipment provided in an electronic factory 51 and various devices provided in the electronic factory 51 and requiring monitoring. For example, the facilities include a power receiving facility 52, an uninterruptible power supply facility 53, a power generation facility 54, a utility 55, a manufacturing facility 56, an environmental facility 57, an air conditioning facility 58, and an information processing system 59. The power receiving equipment 52 includes, for example, a switchgear, a transformer, a switchboard, a lightning arrester, and a storage battery, and various other equipments are provided. Sensing information from these devices is collected in the data collection device 11 via the BUS 35. When transmitting the data to the data editing communication device 2, the collection device 11 performs the following contrivance.

FIG. 6 shows the microprocessor 3 shown in FIG.
6 shows the processing contents.

The microprocessor 36 has a function of R
Processing is performed based on the program set in the OM 38 and the setting information stored in the RAM 37. The setting information is written from the data editing communication device 2 to a part (setting information storage area) of the RAM 37 of the data collection device 11 (download function). Further, the setting information set in the data collection device 11 can be read from the data editing communication device 2 (upload function). Microprocessor 36
Are AI, A, DI, D shown in FIG.
(1) Input and output information from the plant via the serial I / F (data communication function). The input signal is converted into digital data and stored in the data area of the RAM 37 (data storage function). The stored information is sent to the data editing / communication communication device 2 via the MODEM 12 or the LAN 12 '. The output signal transmits and outputs information along a route reverse to the capture of the input signal. When the input signal from the plant exceeds the judgment condition based on the preset setting information, an automatic alarm issuance (alarm function), or an output signal such as A-ya, D-ya for an emergency stop is automatically output ( Agent function). The function of the data collection device 11 itself and the normal
Needless to say, it has a function of checking for abnormalities (self-diagnosis function).

FIG. 7 shows an example of a setting screen of the data editing communication device 2. On the screen, for example, the data collection device IDN
o., TAG No., alarm setting (upper limit, lower limit), and monitoring data conversion value (for example, 0.1 ° C.) are displayed. An alarm is set for each data collection device and each TAG on the setting screen. Further, other monitoring data collected by the data collection device 11 is displayed as a regular state.

The condition setting made by the data editing communication device 2 is downloaded to the data collection device 11, the measurement point is recognized from the ID number and the TAG number of the data collection device 11, and the screen display of the recognized measurement point is performed. I do. An emergency alarm is issued from the terminal according to the condition “alarm setting” on the setting screen.

These alarm setting values and monitoring data are unified and transmitted to the monitoring device 7 of the monitoring center 6 via the communication network 5.

FIG. 8 shows the contents of monitoring by the monitoring device 7.

The batch inspection timing prediction and the batch maintenance based on the prediction include (1) status monitoring (RMS) by remote sensing, (2) diagnosis / evaluation based on trend data management (Database Management System), and further diagnosis / evaluation. It is performed by predicting the optimal maintenance time and parts collectively on the basis of this.

FIG. 8 shows a state sensing state of the gas turbine power generation equipment. Vibration states of the first and second bearings provided on the gas turbine shaft are detected by a bearing vibrometer, and daily trend management is performed by screen display. As for the bearing vibration, a pre-warning value and a warning value are determined in advance as alarm setting values as described above, and are displayed on the screen. On this display screen, the change rate is predicted from the state of the bearing vibration, and is displayed on the screen as a change rate alarm. The rate-of-change information line is compared with the pre-warning value line and the warning value line, and an alarm is issued if it is predicted to exceed these lines. The alarm issuance is an example in which the trend management (1) is shown, a trend is predicted from the trend data, and a diagnosis and evaluation are performed in advance and the screen is displayed. It is assumed that such trend management (1) is performed according to a schedule sequentially set for the various facilities shown in FIG.

Usually, the rate of change per day is not large. Therefore, there is hardly any example in which it is predicted to exceed the pre-warning value line and the warning value line.

However, it is important to predict the trend of each device in the long term, and to diagnose and evaluate in order. In the case where there are various facilities (52 to 59) such as the electronic factory 51 shown in FIG. 5, the prediction, diagnosis and evaluation are performed by performing the prediction, diagnosis and evaluation for each device provided in each facility. It is difficult to improve the operation rate of the 51. Therefore, in this embodiment, the trend management (1) is performed from the trend management (1). FIG.
FIG. 5 is a screen diagram showing a state of trend management (2) for a switching device of a gas turbine power generation facility. At the time of shipment from the factory, the closing operation test is performed for the first time, the second time, and the third time. The control voltage (VDC), the closing timing (mS), and the three-phase irregularity (mS)
And the results are listed, and the closing time and the three-phase misalignment status are displayed in a graph. An inspection time setting line is provided, diagnosis and evaluation are performed based on the result, and an inspection time is set for the switching device of the gas turbine power generation equipment.

In the case shown in the figure, the timing is the inspection timing (1).
And For the transformer, switchboard, lightning arrester, and storage battery, the inspection time is set in the same manner. It is possible to predict the inspection time for each device beyond the equipment (indicated by an arrow) and display it on a screen. These are displayed on the same screen as inspection times (1) to (N). In this case, check the horizontal axis
In order to collectively display the performance on the vertical axis for each device, the monitoring device 7 sets a common monitoring line and inspection time line (X-axis) for each device, and sets this common monitoring line and inspection time line. The trend applied to each monitoring data is obtained in a state in which the factors applied in setting the on the screen are added to each monitoring data. As a result, the monitoring data having a uniform dimension is displayed collectively on one screen, and the tendency of each monitoring data can be easily compared with respect to a common monitoring line and inspection time. As a result, the inspection time for the desired device (1)-
(N) is set as described above and can be compared. These inspection times (1) to (N) may not be displayed on the screen but may be indicated by a list, but can be easily observed by displaying the screen.

It is also possible to predict the inspection time by individually setting monitoring lines for the monitoring data of each device and using a common inspection time line. The inspection time line does not need to be based on the X axis, but may be displayed vertically. Here, such a display is also called a “line”.

From the inspection times (1) to (N) displayed collectively on the screen or displayed in a list, a collective inspection time is set as a collective optimal maintenance time. This setting can be made by a mechanism at the discretion of the person in charge or according to a predetermined program. The setting of the collective optimal maintenance period is an early setting of the inspection time depending on a certain apparatus, but can be a simultaneous inspection from the viewpoint of the entire plant or factory, and can improve the efficiency as a whole. Also,
Inspection is possible with minimum cost maintenance cost.

As described above, by performing the trend management (1) and the trend management (2), particularly, by realizing the batch inspection timing prediction, A system has been established that can automatically register necessary and sufficient data on the operation and maintenance of customer equipment, collects customer information via the Internet, etc., and based on this, provides information on equipment operation status and equipment status, ,
A business is provided that predicts abnormalities and instructs the maintenance time, secures the reliability of the equipment, and reduces operation and maintenance costs. 2. Customers are "interface open data collection devices"
By installing and installing signals to be monitored, many services related to operation and maintenance are provided. 3. "Interface open type data collection device" is digital input / output, analog input / output, RS-232C, RS-
485, etc., and at the same time, the setting information used in the data collection device and the data editing communication device is of various open type specifications shown in FIG. Connection with various sensors and setting of alarm conditions and the like can be easily performed. 4. The monitoring center is equipped with customer equipment operation and maintenance support systems such as equipment history management system, equipment diagnosis system, maintenance planning system, parts management and spare parts arrangement system, and necessary services are provided to customers when needed. . 5. The operator who undertakes the above maintenance has a base near the customer site that can provide parts supply and maintenance services or has a network with another operator,
In addition, low-cost services can be provided.

FIG. 10 shows the status of customer service by the monitoring support system 21. The logistic center 61 uses the management host computer to store various information 62 and 63.
Is collected, and a deployment plan 64 and inventory management 65 are performed.
The replenishment 66 is enhanced, parts are stored in the parts center 67, and these important parts and strategic parts are stored in the service base 68.
In short, it will be possible to establish a 24-hour, 365-day prompt supply system at the site 70.

FIG. 11 shows an example of service provision price calculation. The points (points) are determined based on the basic charge, the DI points, the AI points, the emergency alarm setting number, the RS-232C, and the 485 points, and the service providing price is calculated. However, the service providing price is not limited to this example, and a method of calculating the service providing price from the efficiency improvement or the cost reduction cost resulting from the batch maintenance timing prediction and the package maintenance based on this prediction can be adopted.

[0043]

As described above, according to the present invention, the inspection time, which has been conventionally performed for each device in an electronic factory or the like, can be collectively set for a desired device, so that the service provision to the customer can be planned collectively. Can be performed based on As a result, it is possible to reduce the number of days required for inspection of a plant, a factory, and the like, improve the operation rate, and reduce the maintenance cost. In addition, since parts management is performed collectively, efficiency is improved.

In addition, a new business is provided to instruct the prediction of the abnormality of each device and the maintenance time, secure the reliability of the equipment, and reduce the operation and maintenance costs.

In summary, according to the present invention, in carrying out maintenance for measures against wear and deterioration, the number of maintenance staff is reduced. Die maintenance and appropriate maintenance can be provided.

[Brief description of the drawings]

FIG. 1 is a block diagram showing an embodiment of the present invention.

FIG. 2 is a connection example diagram of a monitoring target and a data collection device.

FIG. 3 is an external view illustrating an example of a data collection device.

FIG. 4 is a detailed view of a data collection device.

FIG. 5 is a diagram showing an example of application to an electronic factory.

FIG. 6 is a diagram showing processing contents of a microprocessor.

FIG. 7 is an example diagram of a setting screen.

FIG. 8 is a diagram showing the contents of monitoring.

FIG. 9 is a diagram showing an example of a screen.

FIG. 10 is an explanatory diagram of a logistic center.

FIG. 11 is a diagram showing an example of service price calculation.

[Explanation of symbols]

1, 1 'site, 2 data editing communication device, 3 monitoring data collection device, 4 local line (LAN), 5 communication network, 6 monitoring center, 7 monitoring device, 11 data collection device, 12, 13 ... MODEM, 14 ... LAN, 15 ...
Data editing / communication software 19 processing unit 21
Monitoring support system, 22 ... Service network.

 ────────────────────────────────────────────────── ─── Continuing on the front page (72) Kenzo Senba 3-2-2, Saimachi, Hitachi-shi, Ibaraki F-term in Hitachi Engineering Services Co., Ltd. 5B049 BB07 EE00 EE56 GG09 5H223 AA01 AA05 CC08 DD03 DD07 DD09 EE06 FF06

Claims (9)

[Claims] 1. Collecting monitoring data indicating a state specific to each device from a plurality of devices to be monitored, setting a monitoring line and a common inspection time line for each device, and standardizing each monitoring data. The trend obtained by adding the factors applied in setting the specified inspection time line to each monitoring data is obtained, and the tendency of each monitoring data for the common inspection time line is compared with the monitoring line. Method for predicting batch inspection time. 2. Collecting monitoring data indicating a state unique to each device from a plurality of devices to be monitored, setting a common monitoring line and an inspection time line for each device, and setting a common monitoring line for each monitoring data. A characteristic obtained by adding a factor applied in setting a monitoring line and an inspection time line to each monitoring data to obtain a tendency, and comparing the tendency of each monitoring data with respect to a common monitoring line and an inspection time line. Inspection time prediction method. 3. The batch inspection time prediction method according to claim 1, wherein the monitoring data is a standard connection signal with a unified interface. 4. A batch inspection time prediction method according to claim 1, wherein the batch inspection time is predicted and set. 5. A data collection device for collecting monitoring data indicating a state specific to each device from a plurality of devices to be monitored, a data editing communication device for receiving the collected monitoring data and performing data editing communication, For each device, set a common inspection time line with the monitoring line, add the factors applied in setting the common inspection time line to each monitoring data, determine the tendency for each monitoring data, A batch inspection time prediction system, comprising a monitoring device for comparing a tendency of each monitoring data with respect to a common inspection time line. 6. A data collection device for collecting monitoring data indicating a state unique to each device from a plurality of devices to be monitored,
Receives the monitoring data collected, edits the data for data editing communication, installs a communication device, sets a common monitoring line and inspection time line for each device, and sets a common monitoring line and inspection time line To determine the trend for each monitoring data, adding the factors applied in doing so to each monitoring data,
A batch inspection time prediction system, comprising a monitoring device for comparing the tendency of each monitoring data with respect to a common monitoring line. 7. A batch inspection time prediction system according to claim 5, wherein the monitoring data for which the tendency has been obtained is displayed on a screen together with a common inspection time line and monitoring line. 8. The batch inspection prediction system according to claim 7, wherein the batch inspection timing is predicted by a program for predicting the inspection timing, and the batch inspection timing is set. 9. A data collection device for collecting monitoring data indicating a state specific to each device from a plurality of devices to be monitored, and an editing communication device for receiving data collected and performing data editing communication. Establish a common inspection time line with the monitoring line for each device, and calculate the trend for each monitoring data with the factors applied in setting the common inspection line added to each monitoring data. For the common inspection time line, compare the trend of each monitoring data with the monitoring line, and set the alarm value line of each device, predict the rate of change from each monitoring data, compare with the alarm line, and compare the comparison. A batch inspection prediction system, characterized by having a monitoring device that displays each screen.