JP2004021399A - Pre-maintenance system and pre-maintenance method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To estimate the sign of a change in accordance with sensing data for an object to be monitored by a monitoring device on a network and quantified data for qualitative information and give instructions to a maintenance work supplier for maintenance work before the object to be monitored is in failure. <P>SOLUTION: A distributed server 113 is provided for inputting data obtained by sensing an object group 114 requiring maintenance with a sensor group 111 and data 112 related to the object group 114 into a plurality of stores 101. In accordance with data from the distributed server 113, a site 102 which totally displays Webs determines whether the object group 114 shows an abnormal condition requiring maintenance or not. When it shows the abnormal condition requiring maintenance, instructions are given to the maintenance work supplier 103 for maintenance work before it is in failure. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a pre-maintenance system and a pre-maintenance method thereof.
[0002]
[Prior art]
Conventionally, when an abnormality that requires maintenance occurs at each store in the tenant building or convenience chain, the person in charge at each store contacts the maintenance equipment company, and a worker is dispatched from the company to perform maintenance work. ing.
[0003]
[Problems to be solved by the invention]
As described above, in the above-described conventional example, for post-maintenance in which maintenance is performed after an abnormality that requires maintenance at each store occurs, customers such as the owner of the tenant building and the headquarters of the convenience chain are provided to the customer. Maintenance costs were billed separately from general maintenance contracts, and it was difficult to predict repair costs around equipment.
[0004]
On the other hand, maintenance equipment contractors also need to regularly inspect each store, and also have to secure workers for urgent on-call, so that personnel plans can be clarified and maintenance systematized. Could not.
[0005]
The present invention has been made in order to solve the above-described problem, and estimates a sign of change based on sensing data of a monitoring target and data obtained by quantifying qualitative information with a monitoring device on a network, and It is an object of the present invention to provide a pre-maintenance system capable of instructing a maintenance execution equipment supplier to perform maintenance before an abnormality occurs, and a maintenance method thereof.
[0006]
Another object of the present invention is to provide a local customer with information capable of responding to new equipment design, construction, maintenance contracts, and the like by mediating a pre-maintenance business platform utilizing Web technology represented by the Internet. And
[0007]
[Means for Solving the Problems]
In order to achieve the above object, the present invention includes a plurality of groups including a plurality of stores, and a monitoring device on a network that monitors an object requiring maintenance in each store of each group, and an abnormality occurs. A pre-maintenance system that instructs a maintenance company to perform maintenance before performing a maintenance, wherein each store has a server device that inputs data obtained by sensing an object requiring maintenance and data related to the object. A monitoring unit configured to determine, based on data from the server device, whether the target indicates an abnormal state requiring maintenance; and a monitoring unit that indicates an abnormality requiring maintenance by the determining unit. If the error has occurred, an instruction to instruct the maintenance contractor to perform maintenance before the abnormality occurs. Characterized in that it has and.
[0008]
Further, in order to achieve the above object, the present invention comprises a plurality of groups of a plurality of stores, and a monitoring device on a network for monitoring a target requiring maintenance in each store of each group, Is a maintenance method of a pre-maintenance system that instructs a maintenance company to perform maintenance before the occurrence of, and inputs data obtained by sensing an object requiring maintenance and data related to the object from each store. An input step, a determination step of determining whether or not the target indicates an abnormal state requiring maintenance based on the data input in the input step, and indicating an abnormality requiring maintenance in the determination step. If there is, instruct the maintenance contractor to perform maintenance before the abnormality occurs. And having an indication step of.
[0009]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
[0010]
In this embodiment, in order to shift the facility maintenance of each store (convenience store) of a tenant building or a convenience chain from post-maintenance to pre-maintenance, a sensor group is provided for a target group in a store requiring monitoring, and Incorporate direct data from sensors and indirect data such as the characteristics of each region and each store into a Web site on the Internet for centralized monitoring, and provide the monitoring status to maintenance execution equipment suppliers. Thus, a pre-maintenance system in which a maintenance execution equipment supplier can perform maintenance before an abnormality actually occurs in the target group will be described.
[0011]
[Overview of pre-maintenance system]
FIG. 1 is a diagram for explaining an outline of the pre-maintenance system. In FIG. 1, reference numerals 101a to 101n denote stores in a convenience chain, and in each store, a sensor group 111 installed in a monitoring target group 114 such as a compressor, and qualitative data 112 such as an area and characteristics of each store. And a distributed server 113 that automatically monitors the data and outputs monitoring management data. Reference numeral 102 denotes a Web site on the Internet for integrated display of the Web, and performs centralized monitoring based on monitoring management data automatically monitored from the distribution server 113 of each of the stores 101a to 101n. Reference numeral 103 denotes a maintenance execution equipment supplier, which displays abnormal information determined to require maintenance by centralized monitoring from the Web general display 102, and performs maintenance work when an alarm is notified by an alarm sound or the like. Reference numeral 104 denotes a customer such as a building owner or a headquarters of a convenience chain. When a monitoring status or a maintenance work is performed from the Web general display 102, a processing work report is notified.
[0012]
Note that the distributed server 113 that automatically monitors data from the sensor group 111 installed in each store is provided with a constantly connected wired line such as an asymmetric digital subscriber line (ADSL) or a wirelessly accessible Web site. It is assumed that the data is constantly connected to 102 and provides data indicating the state of the object group 114 with indirect data of the characteristics of each store and the installed space. This indirect data will be further described later.
[0013]
The distribution server 113 and the Web site 102 are configured by general-purpose computers, and include modules for executing various protocols such as FTP and TCP / IP for transferring data on a network.
[0014]
Next, based on the data directly or indirectly sensed from each of the stores of the plurality of tenant buildings and the plurality of convenience chains, management data and maintenance instruction data are generated, and the maintenance of the tenant buildings and the convenience chain is entrusted. Pre-maintenance information management business ASP (Application Service Provider), which publishes a portal Web site that displays the Web management to each maintenance execution equipment supplier and notifies the maintenance status to tenant building owners and chain headquarters customers. The maintenance system according to the present embodiment that enables commercialization will be described.
[0015]
FIG. 2 is a schematic diagram illustrating the pre-maintenance system according to the present embodiment. In FIG. 2, 201a is a plurality of stores in the convenience chain A, and is assumed to be divided into regions as indicated by a dashed line in the diagram. Reference numeral 201b denotes a plurality of stores in the convenience chain A, which are divided according to regions as in the case of 201a. 201c is a plurality of stores in the tenant building. Reference numeral 202a denotes a portal Web site A, which is open to distributed servers of a plurality of stores in the convenience chain A 201a and automatically monitors a monitoring target of each store. Reference numeral 202b denotes a portal website B, which is open to distributed servers of a plurality of stores in the convenience chain B 201b and automatically monitors a monitoring target of each store. Reference numeral 202c denotes a portal website C which is open to the distribution server of each store in the tenant building and automatically monitors a monitoring target of each store.
[0016]
Reference numeral 203 denotes a Web general monitoring site, which is linked to the above-mentioned portal Web sites A to C (202a to 202c), and is automatically monitored at each portal Web site. It is determined whether or not to instruct “pre-maintenance” to perform maintenance before the occurrence of an abnormality that requires maintenance to a maintenance-performing equipment supplier. If the monitoring target of a store, for example, direct sensing data from a compressor can be used to infer an abnormality that requires maintenance from qualitative data that is indirectly sensed, then perform maintenance for that store Pre-maintenance is instructed to the maintenance implementation equipment contractor.
[0017]
A specific method for estimating an abnormality that requires the above-described maintenance will be further described later. In addition, the Web integrated monitoring site 203 includes a database that manages data sensed for each portal Web site, and determines whether pre-maintenance is necessary based on the direct data and indirect data stored in the database. Is determined, and an instruction is given to the maintenance execution facility operator.
[0018]
Reference numeral 204a denotes a maintenance execution equipment supplier A. In this example, when a pre-maintenance instruction is given from the Web general monitoring site 203 to the monitoring target at each store in the convenience chain A 201a, the maintenance of the monitoring target is performed. I do. Reference numeral 204b denotes a maintenance execution equipment supplier B. In this example, when a pre-maintenance instruction is given from the Web general monitoring site 203 to the monitoring target at each store in the convenience chain B 201b, the maintenance of the monitoring target is performed. I do. Reference numeral 204c denotes a maintenance execution equipment supplier C. In this example, when a pre-maintenance instruction is given from the Web management monitoring site 203 to the monitoring target in each store of the tenant building 201c, the maintenance of the monitoring target is performed. Is carried out.
[0019]
Reference numeral 205a denotes a customer. In this example, the headquarters of the convenience chain A is notified of the monitoring status of the convenience chain A 201a and the contents of pre-maintenance work from the web central monitoring site 203. Reference numeral 205b denotes a customer. In this example, the headquarters of the convenience chain B is notified of the monitoring status of the convenience chain B 201b and the contents of pre-maintenance work from the web central monitoring site 203. Reference numeral 205c denotes a customer. In this example, the owner of the tenant building 201c is notified of the monitoring status of the tenant building 201c and the contents of pre-maintenance work.
[0020]
[Concept of pre-maintenance prediction information]
In the maintenance related to the conventional equipment, it is necessary to directly monitor information from the monitored equipment using a sensor or the like. In this case, information has been obtained for each equipment using a contact / non-contact sensor or the like. In general, a device having a problem due to them obtains abnormal information after the problem occurs.
[0021]
On the other hand, the pre-maintenance in the present embodiment, in addition to sensor information from each equipment, by monitoring the related information continuously or intermittently, to estimate in advance the signs of changes in equipment, Prior to failure, maintenance is possible.
[0022]
Therefore, it is important to have a conversion algorithm for approximately estimating a qualitative state change or a failure state of the equipment based on the related information and converting it to quantitative data.
[0023]
This conversion algorithm uses the information from the monitored equipment and the indirect information on the space where the equipment is installed (temperature, humidity, light, sound, color, vibration, radio waves, carbon dioxide concentration, degree of crowded people, opening and closing doors) By knowing the number of times, product movement, equipment installation environment / regional difference, climate, etc.), the correlation with the monitored equipment is calculated, and the qualitative state change of the target monitored equipment is calculated from the obtained correlation value. An algorithm for estimating and quantifying it.
[0024]
For this estimation, the relative change amount is calculated based on past actual data stored in the above-mentioned database, known data based on empirical knowledge, and the like, and furthermore, the deterioration situation is determined by regional differences, climate, etc. Estimation accuracy can be improved by introducing a conversion weight coefficient in consideration of the difference. Here, the conversion weight coefficient is a parameter determined by the characteristic variation of each equipment, the season, the installation environment, the area (north-south, sea level, etc.).
[0025]
[Qualitative information / quantification conversion algorithm]
The conversion algorithm in the present embodiment is an algorithm configured based on element variables, conversion weight coefficients, estimated variables, transition state values, correction terms, and estimated quantitative values.
[0026]
Here, variables, coefficients, values, and the like in the above-described conversion algorithm will be described in order, and the conversion algorithm will be described in detail.
(1) Element Variables There are direct variables and indirect variables as element variables, and these variables can selectively set a plurality of elements by the target device based on empirical knowledge.
[0027]
First, the direct variable is calculated as a function of data that can be obtained directly by the sampling function of the monitored equipment or equivalent data (d1, d2, d3,..., Dm) obtained from past results and experiences. Value, which is represented by Xd.
[0028]
Next, the indirect variable is a value calculated as a function of space information (s1, s2, s3,..., Sn) obtained indirectly from the equipment installation space, and is represented by Xs.
[0029]
Further, a variable obtained by the above-described combination operation (represented by the symbol “*”) of the direct variable Xd and the indirect variable Xs is defined as a conversion variable, represented by Xc, and defined by the following equation. This value is applied to the estimated variable to give the characteristics of the grouped area.
[0030]
Xc = [Xd * Xs]
(2) Conversion weighting factors In Japan, regions with common conditions for each region from Kyushu to Hokkaido are divided into groups, and unique weighting factors are given to each group to reflect the local trends. Let it. The elements for giving the weight coefficients are, for example, the following information and values.
[0031]
・ Location information (Kyushu, Shikoku, Kinki, Kanto, Tohoku, Hokkaido, etc.)
・ Weather information (temperature, humidity, precipitation, snowfall, typhoon landing frequency, etc.)
・ Regional representative value (sample value representing the region)
The weight coefficient is given as a ratio to the average value, and is represented by “δ” (0 <δ <1).
(3) Estimated variable Based on the above δ, the estimated variable is calculated by the following equation.
[0032]
X = δ · Xc
(4) Transition state value The transition state value is a function of the estimated variable X, represents the state of the monitored object (apparatus, system, etc.) at that time, indicates a maintenance guideline value, and is represented by C. .
[0033]
C = F (X)
This value is updated at certain intervals (units such as time and day) in order to link with the fluctuation of the element variable.
(5) The correction term transition state value is a value obtained by narrowing down the area, and further defines a correction coefficient β (0 ≦ 11 <β <lk) based on the unique environment at the site to correct the maintenance necessity. It should be noted that this value can be selected for tuning within a specified range at the discretion of a skilled person in the field.
(6) Estimated Quantitative Value The estimated quantitative value V is an estimated value for judging the necessity of maintenance at that time of a monitoring target (apparatus, system, etc.) estimated from the above-mentioned transition state value and the correction term.
[0034]
V = α {F (C) + β}
Here, α is a function optimization coefficient, and is a value determined so that the empirical formula and the actual value take a better approximation.
(7) Setting of Initial Values For each of the above variables, default values based on environmental conditions are automatically set at the start of system installation, maintenance completion, and the like.
(8) Conversion Algorithm The conversion algorithm according to the present embodiment performs arithmetic processing according to the procedure as shown in FIG.
[0035]
Reference numeral 301 denotes processing for calculating the above-described direct variables Xd and indirect variables Xs, and reference numeral 302 denotes processing for calculating conversion variables based on the results. Reference numeral 303 selects a weighting coefficient automatically or manually by setting environmental conditions. Reference numeral 304 denotes processing for calculating an estimated variable based on the selected weight coefficient δ.
[0036]
305 is a process for calculating the transition state value C based on the estimated variable X. Reference numeral 306 selectively determines automatically or manually a correction value for the function value of the transition state value C according to the area where the monitored device is installed, installation conditions, and the like. Reference numeral 307 denotes processing for calculating an estimated quantitative value indicating the necessity of maintenance.
[0037]
[Pre-maintenance processing]
Next, a description is given of a pre-maintenance process that is performed according to the estimated quantitative value after the estimated quantitative value is obtained by the above-described conversion algorithm.
[0038]
FIG. 4 is a diagram illustrating a pre-maintenance process according to the present embodiment. At 401, the maintenance necessity is calculated according to the above-described conversion algorithm, and an estimated quantitative value is obtained. Then, in 402, the estimated quantitative value obtained in 401 is compared with a predetermined determination value to determine whether maintenance is necessary. Here, if it is determined to be normal, normal normal processing is performed in 403, and display processing or transmission processing to a local net or the Internet is performed in 405.
[0039]
If the result of the determination processing at 402 has reached the value at which the state changes to an abnormal state, at 404, if the degree of urgency is necessary depending on the degree, processing at 406 is performed according to the degree of urgency. Is done.
[0040]
As described above, according to the present embodiment, qualitative information can be quantified in accordance with a conversion algorithm, signs of changes in equipment can be estimated in advance, and pre-maintenance can be performed before a failure occurs.
[0041]
[Pre-maintenance business model]
Next, a pre-maintenance information management business for performing the above-mentioned pre-maintenance will be described.
[0042]
FIG. 5 is a schematic diagram illustrating a business model of a pre-maintenance information management business. In this business model, the pre-maintenance information management business, which performs pre-maintenance, is combined with the ASP business company to which the agency business of the current maintenance work business is attached, and through the pre-maintenance business platform business company, maintenance parts, Products can be provided to local maintenance equipment contractors when needed, and local customers can be provided with information that can respond to new equipment design, construction, maintenance contracts, and the like.
[0043]
The present invention is not limited to this business model, and various modifications are possible by providing a pre-maintenance business platform based on Web monitoring.
[0044]
As described above, according to the embodiment, the following effects can be obtained.
(1) Scanning and monitoring data by directly or indirectly sensing the objects that require pre-maintenance (tenant buildings, convenience store chains, etc.) Can be linked with a distributed server system that can process data, and information that cannot be sensed and qualitative data of characteristics can be quantified and transmitted to the center.
[0045]
Therefore, the economics of the pre-maintenance are greatly improved continuously. In particular, the cost of repairing equipment around 20% of service calls (replacement and maintenance equipment costs + artificial costs for actual activity time) is compared with the cost of handling 80% of other service calls, and standardization of operations, etc. I can do it. In addition, the other service calls of 80% can be replaced by pre-maintenance.
(2) The requirement for pre-maintenance can be grouped according to the characteristics of a region and a group of stores, so that active-based costs become possible and costs become clear.
(3) The pre-maintenance company can be guided to the business platform by linking the web site utilizing the portal site with the scanning monitoring and the local equipment maintenance company.
[0046]
In particular, web scanning monitoring using portal sites prepared according to the characteristics of the area and the group of stores can significantly reduce repair costs due to pre-maintenance. In addition, we will continue to reduce the number of continuous service calls and reduce repair costs by conducting grouping by characteristics (such as convenience store) and regions that have grouping characteristics (differences in warm and cold regions, characteristics of chain stores, etc.). be able to. Furthermore, data abnormality prediction by web scanning monitoring having a portal site has a function that allows only a specific person to search the net from the outside, so that data retrieval of grouping characteristics and representative sampling can be performed. Further, this data is stored and managed in a database, and thereafter, has a function of learning the initial values of the quantitative value and the qualitative value by calculating based on the stored data. The calculated learning data makes it possible to improve the accuracy of abnormality prediction.
(4) The equipment maintenance-dedicated sensor and web monitoring system that enable the pre-maintenance of the convenience store enable the ASP (Application Service Provider) business of the pre-maintenance information management business to provide a new business platform. .
[0047]
In particular, it is possible to perform a net search for abnormality prediction from alternative sensing data (such as qualitative alternative or data linked with POS data). In addition, as a new business platform including a pre-maintenance information management agency ASP business, it is possible to provide a function of searching for data anomalies by web scanning monitoring using a portal site, and a function of searching representative sampling of grouping characteristics. . Further, the cost increase due to the service call can be reduced.
[0048]
【The invention's effect】
As described above, according to the present invention, a monitoring apparatus on a network estimates a sign of change based on sensing data of a monitoring target and data obtained by quantifying qualitative information, and an abnormality occurs in the monitoring target. The maintenance can be instructed to a maintenance execution equipment supplier beforehand.
[Brief description of the drawings]
FIG. 1 is a diagram for explaining an outline of a pre-maintenance system.
FIG. 2 is a schematic diagram illustrating a pre-maintenance system according to the embodiment.
FIG. 3 is a diagram illustrating a procedure of a conversion algorithm according to the embodiment.
FIG. 4 is a diagram illustrating a maintenance process according to the embodiment.
FIG. 5 is a schematic diagram showing a business model of a pre-maintenance information management business.

Claims (2)

It consists of a plurality of groups consisting of a plurality of stores, and a monitoring device on a network that monitors a target requiring maintenance at each store in each group, and instructs a maintenance contractor to perform maintenance before an abnormality occurs. A pre-maintenance system,
Each store is
Having a server device for inputting data obtained by sensing a target requiring maintenance and data related to the target,
The monitoring device is
Determining means for determining whether or not the target indicates an abnormal state requiring maintenance based on data from the server device;
A pre-maintenance system comprising: an instruction unit that instructs the maintenance contractor to perform maintenance before the abnormality occurs when the determination unit indicates an abnormality requiring maintenance. It consists of a plurality of groups consisting of a plurality of stores, and a monitoring device on a network that monitors a target requiring maintenance at each store in each group, and instructs a maintenance contractor to perform maintenance before an abnormality occurs. A maintenance method for the pre-maintenance system,
An input step of inputting data obtained by sensing a target requiring maintenance from each store, and data related to the target,
Based on the data input in the input step, a determination step of determining whether the target indicates an abnormal state that requires maintenance,
An instruction step of instructing the maintenance contractor to perform maintenance before occurrence of the abnormality when the abnormality is indicated in the determination step. .

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