JP2003281249A - Building predictive maintenance system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a building predictive maintenance system precisely determining a time to receive an inspection and easily drafting a cost required for the maintenance plan at low cost. <P>SOLUTION: This building predictive maintenance system is provided with a database server 14 storing data related to the operation state of facility equipment in a building and a Web server 9 showing the data related to the operation state of the facility equipment 4 stored in the database server 14 to a client 6 via Web browser. This system allows the database server 14 to store the practical operation time of the respective facility equipment 4, the practical operation frequency, the practical alarm issuing frequency, a target operation time, a target operation frequency, a target alarm issuing frequency, and a planned inspection and repair cost, calculate the inspection schedule date from the practical operation time of the respective facility equipment, the practical operation frequency, the practical alarm issuing frequency, the target operation time, the target operation frequency, and the target alarm issuing frequency, and total the schedule inspection and repair cost in a prescribed period including the calculated inspection schedule date. <P>COPYRIGHT: (C)2004,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a building predictive maintenance system, and more particularly to a building predictive maintenance system capable of calculating a scheduled inspection / repair cost for each equipment in a building in a predetermined period.

[0002]

2. Description of the Related Art Conventionally, equipment installed in a building is
Regular maintenance / inspection work replaces parts of equipment that are predicted to be abnormal at an early stage, and equipment equipment warranty information provided by the manufacturer of each equipment (service life, service life, etc.) It was maintained by exchanging parts based on the above. However, with this method, it is often impossible to accurately grasp the operating status of the equipment, and therefore problems such as repair costs and inventory management of replacement parts due to a sudden failure cannot be solved.

Therefore, in order to solve the above-mentioned problem, in the method and system for diagnosing the operating state described in Japanese Patent Laid-Open No. 7-93018, a series of parameters indicating the operating state of the machine are monitored, and a series of parameters are monitored based on this parameter. Of the analog or digital source data, a calculation means for generating a vector from the source data by a mathematical function, and a diagnostic means for diagnosing the operating state of the machine from the vector in the neural network. Diagnose the operating state of and determine the abnormality of the equipment in advance.

Further, the equipment deterioration diagnosing method disclosed in Japanese Unexamined Patent Publication No. 2000-35818 predicts deterioration of parts and enables efficient maintenance, so that a signal input to the external input interface section is converted into digital data. After converting to, it is supplied to the data processing device for statistical processing,
The management limit value is stored together with the collected time in the collected data storage device, and the statistically processed data is subjected to the trend management processing and the management standard value stored in the parameter data storage device. The sign of deterioration of the component is determined from the calculated and statistically processed data and the control limit value, and the failure determination of the component is performed from the latest input data and the preset determination value.

[0005]

However, in the above-mentioned conventional technique, firstly, it is necessary to check the operating state of the current equipment and equipment in order to prepare a long-term maintenance / inspection work schedule. There was a problem that it was difficult to determine clearly when to implement. In particular,
With equipment that implements time-based maintenance management,
It is difficult to judge the time when the inspection should be performed by the diagnosis based on the operating state.

Secondly, the system for diagnosing the operating state of the equipment and displaying the result operates as a dedicated device, and has a function equivalent to refer to the same information from a plurality of monitoring locations. It is necessary to build the system on the client side as well, and there is a problem that the financial burden increases.

Further, as a third problem, it is difficult to plan the cost required for the maintenance plan because the maintenance budget of the equipment cannot be predicted.

Therefore, the present invention has been made in view of the problems in the above-mentioned conventional building predictive maintenance system, and it is possible to clearly determine the time when the inspection should be performed, it is inexpensive, and the maintenance plan is made. It is an object of the present invention to provide a building predictive maintenance system capable of easily planning required costs.

[0009]

In order to achieve the above-mentioned object, the invention according to claim 1 is a database server for accumulating data relating to an operating state of equipment in a building, and the equipment stored in the database server. In a building predictive maintenance system including a Web server that displays data on the operating status of a client via a Web browser, in the database server, the actual operating time of each equipment, the actual number of times of operation, and the actual The number of alarm occurrences, the target operation time, the target number of operations, the target number of alarm occurrences, and the scheduled inspection / repair costs are accumulated, and the actual operating time of each of the equipment, the actual number of operations, and the actual Number of alarms, target operating time, target operating frequency,
It is characterized in that the estimated inspection date is calculated from the target number of times of alarm occurrences, and the planned inspection / repair costs for a predetermined period including the calculated estimated inspection date are totaled.

According to the first aspect of the present invention, the estimated inspection date is calculated from the actual operating time and the target operating time of each equipment stored in the database server, and the estimated inspection date is calculated from the scheduled inspection / repair cost. Since the scheduled inspection / repair costs for a predetermined period including the above are aggregated, it is possible to clearly determine the time when the inspection should be performed and easily plan the cost required for the maintenance plan. Further, since it is not necessary to provide a dedicated device on the client side when diagnosing the operating state of the equipment and displaying the result, it is possible to construct an inexpensive system.

According to a second aspect of the present invention, in the building predictive maintenance system according to the first aspect, the database server is further provided with a device number, a device type, a maintenance
It is characterized by accumulating suppliers, start-up date, equipment specifications, useful life and useful life.

According to the second aspect of the present invention, since the equipment number, equipment type, maintenance / supplier, etc. of each equipment are stored, a more detailed maintenance plan can be implemented.

According to a third aspect of the present invention, in the building predictive maintenance system according to the second aspect, the actual operating time of each of the equipment, the actual number of times of operation, the number of times of actual alarm generation, the target operating time, and the target operation. From the number of times and the number of target alarm occurrences,
The operation ratio of each of the equipment is calculated.

According to the third aspect of the present invention, since the operating ratio of each equipment is calculated from the actual operating time, the actual number of times of operation, etc., the predicted inspection date can be calculated more accurately.

According to a fourth aspect of the present invention, in the building predictive maintenance system according to the third aspect, the operating ratio is 100%.
It is characterized in that a list of equipments exceeding the above is displayed on the client via a Web browser.

According to the fourth aspect of the present invention, since the equipments whose operating ratio exceeds 100% are displayed in a list, the equipments that need to be inspected accurately can be inspected without omission.

[0017]

BEST MODE FOR CARRYING OUT THE INVENTION Next, a concrete example of an embodiment of a building predictive maintenance system according to the present invention will be described with reference to the drawings.

FIG. 1 shows an embodiment of a building predictive maintenance system (hereinafter referred to as "predictive maintenance system") according to the present invention. This predictive maintenance system is roughly classified into a building management system 1 and a predictive maintenance system. It is classified into a maintenance system server 5 and a predictive maintenance system client 6.

The building management system 1 includes a building management device 2
And the equipment monitoring terminal 3 and each equipment 4. The equipment device monitoring terminal 3 monitors the operating state of each equipment device 4 in real time, and accumulates the operation information of each equipment device 4. The building management device 2 collects the operation information accumulated by the equipment device monitoring terminal 3 and performs unified management.

On the other hand, the predictive maintenance system includes a server 5 and
It is composed of a client 6 and a printer 7.

The server 5 of the predictive maintenance system automatically collects the operating status of each facility equipment 4 accumulated in the building management apparatus 2 online from the building management apparatus 2, accumulates the operating information of each facility equipment 4 and performs predictive maintenance. Equipment information (equipment number, maintenance, etc.) of each equipment equipment 4 input from the client 6 of the system
Accumulation of suppliers, operation start date, equipment specifications, operation service life information (service life, service life date), facility operation status target values (target operation time, target operation frequency, target alarm frequency), etc.
Centrally manage the operation ratio, the estimated inspection date and the inspection schedule data.

The client 6 of the predictive maintenance system includes the server 5 of the predictive maintenance system and the intranet 1 in the building.
5, the various information accumulated in the server 5 of the predictive maintenance system is referred to, added, changed, etc., and these information is printed out to the printer 7.

As shown in FIG. 2, the server 5 of the predictive maintenance system includes an operating system (hereinafter referred to as "OS") 8
And a Web server 9 that enables reference, addition, change, etc. of data information from a client 6 of the predictive maintenance system by a Web browser, a data collection processing unit 10 operating on the platform, an arithmetic processing unit 11, and a screen display. It is composed of a unit 12, a print processing unit 13, and a database server 14 that centrally manages operation information and the like.

The client 6 of the predictive maintenance system has the function of a standard personal computer and the function of a Web browser.

Since the software configuration of the building management system 1 is not directly related to the present invention, its detailed description will be omitted.

Next, referring mainly to FIG. 3, a data table of the predictive maintenance system according to the present invention will be described.

The equipment operation information data of each equipment 4 which is centrally managed by the building management device 2 of the building management system 1 is stored in the equipment operation information data table 16. The predictive maintenance system server 5 connected online collects the facility operation information data automatically by the data collection processing unit 10 at regular intervals. The collected equipment operation information data is stored in the equipment operation information collection data table 17 in the predictive maintenance system server 5.

Arithmetic processing program 2 in the arithmetic processing unit 11
0 automatically calculates the operating ratio and the inspection forecast date of each equipment 4 periodically.

First, the arithmetic processing program 20 acquires the current operation information (operating time, number of operations, number of alarms) of each equipment 4 from the equipment operation information collection data table 17. Further, the information (target operation time, target operation frequency, target alarm frequency) of each equipment 4 is acquired from the equipment information data table 18. From these two acquired data,
The current equipment operating state, the equipment operating state target value and the operating ratio (current equipment operating state / equipment operating state target value) [%] are calculated and stored in the operating ratio / estimated inspection date data table 21. In the arithmetic processing, when the equipment having the operation ratio exceeding 100% (when it exceeds the target value) is detected, the screen display unit 12 displays the excess operation ratio equipment device list as the operation information display 22. The print processing unit 13 executes automatic print output to the printer 7.

Similarly, the arithmetic processing program 20 acquires the current operating time of each equipment 4 from the equipment operation information collection data table 17, and from the equipment information data table 18, the equipment operation start date and the target. Get the driving time. From the acquired data, the number of days from the facility equipment operation start date to the current operation time and the remaining operation time up to the target operation time are calculated. Next, the number of days required for the remaining operation time is calculated from the number of days required until the current operation time and the remaining operation time. From this calculation result, the number of days required for the remaining operation time calculated on the current date is added to automatically calculate an estimated inspection date (scheduled maintenance date). The calculation result is stored in the operation ratio / estimated inspection date data table 21.

Operation ratio / estimated inspection date data table 21
The information stored in is stored in the equipment device information data table 18
The display processing unit 1 together with the information of each facility device 4 stored in
With an operation information display screen program that has a search function of 2 and can be displayed by a browser from a client, all items are searched or a selection box that specifies a range for each equipment device information item is narrowed down and searched and displayed. Further, the retrieved information is printed on the list list form by the printer 7 by the operation information list printing program stored in the print processing unit 13.

Next, the expansion processing program 23 in the arithmetic processing unit 11 uses the operating ratio / estimated inspection date data table 21.
Acquire the estimated inspection date of each equipment 4 stored in
It is expanded to the inspection schedule data table 24. The inspection schedule data table 24 has a configuration capable of storing annual schedule data and long-term schedule data in advance, and stores inspection schedule information of each facility device 4.

The information stored in the inspection schedule data table 24 has the search function of the display processing unit 12, and the annual schedule table (displayed every year) is displayed by the inspection schedule display screen program that can be displayed by the browser from the client. And a long-term schedule table (10-year display). In addition, each schedule table displayed on the screen is printed on the printer 7 by the schedule table printing program stored in the print processing unit 13.

[0034]

As described above, according to the present invention,
It is possible to clearly determine when the inspection should be carried out,
It is possible to provide a building predictive maintenance system that is inexpensive and can easily plan the cost required for a maintenance plan.

[Brief description of drawings]

FIG. 1 is a hardware configuration diagram of a predictive maintenance system according to the present invention.

FIG. 2 is a block diagram of software of the predictive maintenance system according to the present invention.

FIG. 3 is a configuration diagram of a data table of the predictive maintenance system according to the present invention.

[Explanation of symbols]

1 Building management system 2 building management equipment 3 Facility equipment monitoring terminals 4 Each equipment 5 Predictive maintenance system server 6 Predictive maintenance system client 7 printer 8 OS 9 Web server 10 Data collection processing unit 11 Arithmetic processing unit 12 screen display 13 Print processing unit 14 Database server 15 Intranet 16 Equipment operation information data table 17 Equipment operation information collection data table 18 Equipment information data table 19 Enter operator information 20 arithmetic processing 21 Operation ratio / Inspection forecast date data table 22 Operation information display 23 Expansion processing 24 Inspection schedule data table 25 Inspection schedule display

Claims (4)

[Claims] 1. A database server for accumulating data on operating states of equipment in a building, and W for displaying data on operating states of the equipment stored in the database server to a client via a Web browser.
In a building predictive maintenance system including an eb server, in the database server, the actual operating time of each of the equipment, the actual number of times of operation, and the number of times of actual alarm generation,
The target operating time, the target number of times of operation, the target number of alarm occurrences, and the scheduled inspection / repair costs are accumulated, and the actual operating time of each of the equipment, the actual number of operations, and the actual number of alarm occurrences, Building predictive maintenance characterized by calculating an estimated inspection date from the target operating time, the target number of operations, and the target number of alarm occurrences, and adding up the scheduled inspection and repair costs in a predetermined period including the calculated inspection estimated date. system. 2. The database server further stores a device number, a device type, a maintenance / supplier, an operation start date, a device specification, a service life, and a service date of each facility device. Item 1. The building predictive maintenance system according to item 1. 3. The actual operating time of each of the equipment, the actual number of times of operation, the number of times of actual alarm generation, and the target operating time,
3. The building predictive maintenance system according to claim 2, wherein the operating ratio of each of the equipment is calculated from the target number of operations and the target number of alarms. 4. The building predictive maintenance system according to claim 3, wherein a list of equipments whose operating ratio exceeds 100% is displayed on the client via a Web browser.