JP2006127070A - Proposal type maintenance sales method for industrial personal computer - Google Patents

Proposal type maintenance sales method for industrial personal computer Download PDF

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JP2006127070A
JP2006127070A JP2004313219A JP2004313219A JP2006127070A JP 2006127070 A JP2006127070 A JP 2006127070A JP 2004313219 A JP2004313219 A JP 2004313219A JP 2004313219 A JP2004313219 A JP 2004313219A JP 2006127070 A JP2006127070 A JP 2006127070A
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maintenance
failure
failure index
fee
customer
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Yuji Shibata
裕司 柴田
Masahito Shiga
雅人 志賀
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Hitachi Ltd
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Abstract

<P>PROBLEM TO BE SOLVED: To provide a proposal type sales method for an industrial personal computer capable of concretely exhibiting a risk degree of failure occurrence of the industrial PC or each component to a customer by using a failure index to promote a component exchange. <P>SOLUTION: A maintenance estimate management server 100 receives a failure index value calculated by use of operation log information and installation environment log information collected by various kinds of sensors installed to the industrial PC 200 and a failure rate database 304. The maintenance estimate management server 100 calculates a future maintenance price transition of the maintenance target PC 200 on the basis of the received failure index value, compares and analyzes the received failure index value and a past failure index value, and exhibits a risk portion obtained by failure index diagnosis of the maintenance target PC referring to a failure index history database 103 and a maintenance history database 104 on a Web screen of the customer to propose improvement for reducing a premium. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

本発明は、産業用パーソナルコンピュータ(以下産業用PCと略す)の保守サービスを提案する際に、障害指標を用いて装置個別に保守サービス料金の設定と保守料金を下げる改善提案を行うのに適した産業用パソコンの提案型の保守販売方法に関する。   The present invention is suitable for setting a maintenance service fee for each device and making an improvement proposal for reducing the maintenance fee using a failure index when proposing a maintenance service for an industrial personal computer (hereinafter referred to as an industrial PC). The present invention relates to a proposal-type maintenance sales method for industrial computers.

従来の産業用PCの保守販売方法としては、〔特許文献1〕に記載のように、PC内部に各種センサやテストプログラムを搭載して稼動ログ情報,設置環境ログ情報を収集し、そのデータを解析して部品毎に定めた見積価格データベースに記録された閾値により買取価格を決定し、部品毎の買取価格を顧客のWeb上に提示し、顧客が同意して送付した部品と見積もった部品が同一であると確認した後、料金を送付して買取るリサイクルモデルを含む通信型保守サービス販売方法がある。   As a conventional industrial PC maintenance and sales method, as described in [Patent Document 1], various sensors and test programs are installed in the PC, and operation log information and installation environment log information are collected. The purchase price is determined according to the threshold value recorded in the estimated price database that is analyzed and recorded for each part, the purchase price for each part is presented on the customer's Web, and the part that the customer has agreed and sent is the estimated price. There is a communication-type maintenance service sales method including a recycling model in which a charge is sent after purchase is confirmed.

また、一般的に、PC内部に工場出荷からの環境を測定するセンサおよび時間データ保持する記憶装置を設け、これらのPCから得られた設置環境データを収集して設置環境障害予測データベースを構築し、PCから得られた設置環境データが閾値を超えた場合、障害予測通知を発行する通信型修理および保守サービスの販売方法がある。また、PC上でテスト・メンテナンスプログラムを実行することにより生成されたエラーコードを受信し、エラーコードデータベースを参照してエラーコードを解析して部品の残り寿命,交換が必要な部品を特定し、特定された部品の部品名やメッセージを含めて提案する保守サービスを顧客のWebに表示する通信型保守サービス販売方法がある。   Also, generally, a sensor for measuring the environment from the factory shipment and a storage device for holding time data are provided inside the PC, and the installation environment data obtained from these PCs are collected to construct an installation environment failure prediction database. There is a communication-type repair and maintenance service sales method for issuing a failure prediction notification when installation environment data obtained from a PC exceeds a threshold. Also, the error code generated by executing the test and maintenance program on the PC is received, the error code is analyzed with reference to the error code database, the remaining life of the part, the part that needs to be replaced is identified, There is a communication-type maintenance service sales method for displaying a proposed maintenance service including the part name and message of the identified part on the customer's Web.

特開2004−030349号公報JP 2004-030349 A

産業用PCは、長期の稼動と信頼性が要求される各種システムや各種装置に適用されており、障害が発生した際の保守のため、オンサイト保守サービス(出張修理サービス)やセンドバック保守サービス(返却修理サービス)が行われている。これらの保守サービスの中には、年度契約を結ぶことで何度障害が発生しても、年度契約金内で保守サービスを行う定額保守料金の契約がある。この定額保守料金の契約は、産業用PC一台当たりの保守料金が高額であり、使用台数分の保守料金がかかるため、産業用PCの使用台数が多いシステムや販売台数が多い装置では、保険料が高額となるためユーザが保守サービスを受けにくい状況にある。   Industrial PCs are applied to various systems and devices that require long-term operation and reliability. For maintenance when a failure occurs, on-site maintenance services (business trip repair services) and send-back maintenance services (Returned repair service) is performed. Among these maintenance services, there is a fixed maintenance fee contract for performing maintenance services within the annual contract fee, regardless of how many failures occur due to the annual contract. This flat-rate maintenance fee contract is expensive for maintenance PCs per industrial PC and requires a maintenance fee for the number of units used. Since the fee is high, it is difficult for users to receive maintenance services.

保険料が高額となる理由は、産業用PCは、厳しい設置環境下でも安定して稼動するように高信頼性を有する部品を採用しているため、保守部品が高価であり、産業用PCは設置環境の厳しい場所で使用されることが多く、保守会社では、その障害発生頻度が予測できないリスク分も含めて保守料金を高めに設定する傾向にあるためである。   The reason why insurance premiums are high is because industrial PCs use highly reliable parts that can operate stably even in harsh installation environments, so maintenance parts are expensive, and industrial PCs This is because they are often used in places where the installation environment is strict, and maintenance companies tend to set maintenance charges higher, including the risk that the frequency of failure occurrence cannot be predicted.

保守会社は、保険サービスに加入する顧客数を増やすため、保守料金を抑えてサービスを販売したいが、設置環境の悪い場所で使用されている製品では、何度も障害が発生する恐れが大きく、赤字となるビジネスリスクがあり、保守料金を下げることができなく、保守契約率が上がらないという問題があった。   Maintenance companies want to sell services with a reduced maintenance fee in order to increase the number of customers who take out insurance services, but products that are used in places with poor installation environments are likely to suffer many failures, There was a business risk of being in the red, there was a problem that the maintenance fee could not be lowered and the maintenance contract rate did not increase.

また、産業用PCは、長期使用を前提とした製品であるため、定期交換部品をメーカ側で指定して予防保全の観点から定期交換を推奨している。しかし、顧客の大部分は、定期交換しないで障害が発生するまで使用する傾向にある。このため、一旦障害が発生してしまうと早期復旧のために顧客側,メーカ側共に交換部品の代金以外に、例えばポーターで保守部品を運搬するなどの予期せぬ緊急対応費が発生するという問題がある。   In addition, since industrial PCs are products premised on long-term use, periodic replacement parts are designated by the manufacturer and periodic replacement is recommended from the viewpoint of preventive maintenance. However, the majority of customers tend to use it until a failure occurs without regular replacement. For this reason, once a failure occurs, an unexpected emergency response cost such as transporting maintenance parts by a porter, for example, in addition to the replacement part price for both the customer and manufacturer for early recovery There is.

また、部品の定期交換を提案する際に個々の保守部品の故障率を直接顧客に提示する方法もあるが、一般に故障率はメーカ側の重要情報であるので、メーカおよび保守会社から顧客へ直接故障率を提示することはなく、顧客に障害発生の危険度を具体的な数値をもって提案する手段がなかった。   There is also a method of presenting the failure rate of individual maintenance parts directly to the customer when proposing periodic replacement of parts. Generally, the failure rate is important information on the manufacturer side, so the manufacturer and the maintenance company directly contact the customer. The failure rate was not presented, and there was no means for suggesting the risk of failure to the customer with specific numerical values.

本発明の目的は、障害指標を用いることで個々の部品あるいは産業用PCの障害発生の危険度を顧客へ具体的に提示でき、部品交換を促進することができる産業用パソコンの提案型の販売方法を提供することにある。   An object of the present invention is to provide a proposal-type sales of an industrial personal computer that can specifically present to a customer the risk of failure of individual parts or industrial PCs by using fault indicators, and can promote the replacement of parts. It is to provide a method.

本発明の他の目的は、設置環境ログや稼動ログを取得,分析することで設置環境のパラメータ単位できめ細かい改善提案を行い、保守料金を下げることが可能な産業用パソコンの提案型の販売方法を提供することにある。   Another object of the present invention is to provide a proposal-type sales method for an industrial PC capable of making detailed improvement proposals in units of parameters of the installation environment by acquiring and analyzing the installation environment log and operation log, and reducing the maintenance fee. Is to provide.

上記目的を達成するために、本発明の産業用パソコンの提案型の販売方法は、各種センサを設置した保守対象PCの各ログ格納エリアに蓄積された稼動ログ情報と設置環境ログ情報を受信して障害指標値を算出し、算出した障害指標値をもとに保守料金推移を算出し、前記障害指標と過去の障害指標を比較分析して障害指標診断を行い、この障害指標診断により得られた危険部位を顧客のWeb画面に提示して保険料金を下げるための改善提案を行うものである。   In order to achieve the above object, the proposed industrial personal computer sales method of the present invention receives operation log information and installation environment log information accumulated in each log storage area of a maintenance target PC in which various sensors are installed. The failure index value is calculated, the maintenance fee transition is calculated based on the calculated failure index value, and the failure index diagnosis is performed by comparing and analyzing the failure index and the past failure index. Presenting the dangerous part on the customer's Web screen and making an improvement proposal for reducing the insurance fee.

本発明によれば、障害指標を用いて顧客に産業用PCの保守部品単位での障害指標を提示することにより、近い将来、障害がおこる危険度の高い部品を具体的に提示して部品の交換を促進することで予防保全を実現する保守販売が可能となる。   According to the present invention, by presenting a failure index for each maintenance part of an industrial PC to a customer using the failure index, a specific component having a high risk of failure in the near future is specifically presented. By promoting replacement, maintenance sales that realize preventive maintenance become possible.

また、産業用PCの設置環境ログおよび稼動ログを取得,分析することで得られた産業用PCの障害指標をもとに、産業用PCの保守料金の推移を算出して保守金を下げるための障害指標の改善提案を行い、顧客が提案された改善を実施することにより保守料金を下げることができ、保守契約率の向上が行える。   In addition, in order to lower the maintenance fee by calculating the transition of the maintenance fee of the industrial PC based on the failure index of the industrial PC obtained by acquiring and analyzing the installation environment log and operation log of the industrial PC The maintenance fee can be lowered and the maintenance contract rate can be improved by making a proposal for improving the failure index of the customer and implementing the proposed improvement by the customer.

本発明の一実施例を図1から図6により説明する。図1は本発明の一実施例であるシステムの構成図である。   An embodiment of the present invention will be described with reference to FIGS. FIG. 1 is a block diagram of a system according to an embodiment of the present invention.

図1に示すように、保守会社1には、保守見積管理用サーバ100と、保守見積管理用サーバ100に保守会社専用ネットワークのイントラネット106を介して接続されたゲートウェイ107が設置されている。保守見積管理用サーバ100には、各顧客の顧客名と装置構成を管理する顧客情報データベース102と、各顧客装置の障害指標の履歴を管理する障害指標履歴データベース103と、各顧客装置の保守履歴を管理する保守履歴データベース104と、保守料金を管理する保守料金設定データベース105が設けられており、各データベースの参照や入力を行う画面のWebページ101が設けられている。   As shown in FIG. 1, the maintenance company 1 is provided with a maintenance estimate management server 100 and a gateway 107 connected to the maintenance estimate management server 100 via an intranet 106 of a maintenance company dedicated network. The maintenance estimate management server 100 includes a customer information database 102 that manages the customer name and device configuration of each customer, a failure index history database 103 that manages a history of failure indexes of each customer device, and a maintenance history of each customer device. A maintenance history database 104 that manages the maintenance fee and a maintenance fee setting database 105 that manages the maintenance fee are provided, and a Web page 101 for a screen for referring to and inputting each database is provided.

購入者2には、保守対象PC200と、携帯電話などの通信端末202が設置され、保守対象PCには保守見積の表示や入力を行う画面であるブラウザ201が設けられている。ゲートウェイ107と通信端末202は、公衆網500を介して接続されている。   The purchaser 2 is provided with a maintenance target PC 200 and a communication terminal 202 such as a mobile phone, and the maintenance target PC is provided with a browser 201 which is a screen for displaying and inputting a maintenance estimate. The gateway 107 and the communication terminal 202 are connected via the public network 500.

メーカ3には、保守管理サーバ300が設置され、保守会社1のゲートウェイ107とは、公衆網500,ゲートウェイ307,メーカ側専用のネットワークであるイントラネット306を介して接続されている。このように、保守会社1の保守見積管理サーバ100と、購入者2の保守対象PC200と、メーカ3の保守管理サーバ300とは、公衆網
500経由でそれぞれ相互に接続されている。
A maintenance management server 300 is installed in the manufacturer 3, and is connected to the gateway 107 of the maintenance company 1 through the public network 500, the gateway 307, and an intranet 306 that is a dedicated network for the manufacturer. As described above, the maintenance estimate management server 100 of the maintenance company 1, the maintenance target PC 200 of the purchaser 2, and the maintenance management server 300 of the manufacturer 3 are connected to each other via the public network 500.

保守管理用サーバ300には、各顧客の顧客名と装置構成を管理する顧客情報データベース302と、各顧客装置の設置環境ログと稼動ログを管理するログデータベース303と、保守対象PC200を構成する保守部品のフィールド故障率を管理する故障率データベース304と、保守対象PC200を構成する部品単位での障害指標を管理する障害指標データベース305を備える。   The maintenance management server 300 includes a customer information database 302 that manages the customer name and device configuration of each customer, a log database 303 that manages the installation environment log and operation log of each customer device, and the maintenance that constitutes the maintenance target PC 200. A failure rate database 304 for managing the field failure rate of parts, and a failure index database 305 for managing failure indexes for each component constituting the maintenance target PC 200 are provided.

図2に保守対象PC200のハードウェア構成を示す。保守対象PC200には、CPU411,LSIA412,CD−ROMディスク421,フロッピー(登録商標)ディスク431,メモリ451,ハードディスク461等で構成される。これらの部品は、それぞれ保守可能なパーツ毎に、アセンブリA410としてCPU411及びLSIA412,アセンブリB420としてCD−ROMディスク421,アセンブリCとしてフロッピーディスク431,アセンブリEとしてメモリ451,アセンブリFとしてハードディスク461に大別されている。保守対象PC200には、アセンブリDとして、リアルタイムクロック441,温度センサ442,振動センサ443が搭載されている。   FIG. 2 shows a hardware configuration of the maintenance target PC 200. The maintenance target PC 200 includes a CPU 411, an LSIA 412, a CD-ROM disk 421, a floppy (registered trademark) disk 431, a memory 451, a hard disk 461, and the like. These parts are roughly divided into a CPU 411 as an assembly A410 and a CD-ROM disk 421 as an assembly B420, a floppy disk 431 as an assembly C, a memory 451 as an assembly E, and a hard disk 461 as an assembly F for each maintainable part. Has been. A real-time clock 441, a temperature sensor 442, and a vibration sensor 443 are mounted on the maintenance target PC 200 as an assembly D.

ハードディスク461内のデータ領域には、顧客側に開放され顧客が自由に使えるユーザ領域462が設けられ、ユーザ領域462内にエラーコードロギングエリア463が設けられている。メーカ領域464内には、通電時間格納エリア465,温度ログ格納エリア466,リトライエラーログ格納エリア467,アクセス回数ログ格納エリア468,振動ログ格納エリア469が設けられる。   In the data area in the hard disk 461, a user area 462 that is open to the customer side and can be used freely by the customer is provided, and an error code logging area 463 is provided in the user area 462. In the manufacturer area 464, an energization time storage area 465, a temperature log storage area 466, a retry error log storage area 467, an access count log storage area 468, and a vibration log storage area 469 are provided.

通電時間格納エリア465には、リアルタイムクロック441でカウントして測定した保守対象PC200の通電時間の履歴が記録される。温度ログ格納エリア466には、温度センサ442で定期的に計測された温度の履歴が記録される。リトライエラーログ格納エリア467には、HDDやFDD等のリトライエラー回数が記録される。アクセス回数ログ格納エリア468には、ハードディスク461とフロッピーディスク431とメモリ451のアクセス回数が記録され、振動ログ格納エリア469には、振動センサ443で計測された振動データが記録される。   In the energization time storage area 465, an energization time history of the maintenance target PC 200 measured by counting with the real time clock 441 is recorded. In the temperature log storage area 466, a history of temperatures periodically measured by the temperature sensor 442 is recorded. In the retry error log storage area 467, the number of retry errors such as HDD or FDD is recorded. The access count log storage area 468 records the access count of the hard disk 461, floppy disk 431, and memory 451, and the vibration log storage area 469 records vibration data measured by the vibration sensor 443.

図3に示すように、ステップ150で、公衆網500を介して保守会社1の保守見積管理サーバ100にアクセス処理を行うことで、保守対象PC200は保守見積管理サーバ100に接続される。   As shown in FIG. 3, the maintenance target PC 200 is connected to the maintenance estimate management server 100 by performing access processing to the maintenance estimate management server 100 of the maintenance company 1 via the public network 500 in step 150.

ステップ151で、保守会社1の顧客情報データベース102を参照して、保守対象
PC200の機器構成情報を取得し、公衆網500を介して保守見積管理サーバ100からメーカ3の保守管理サーバ300の顧客情報データベース302にアクセスして個々の保守部品単位の製品情報を取得する保守対象PC200の製品情報取得処理を行う。
In step 151, referring to the customer information database 102 of the maintenance company 1, the device configuration information of the maintenance target PC 200 is acquired, and the customer information of the maintenance management server 300 of the manufacturer 3 from the maintenance estimate management server 100 via the public network 500. A product information acquisition process of the maintenance target PC 200 is performed to access the database 302 and acquire product information in units of individual maintenance parts.

ステップ152で、メーカ3の保守管理サーバ300から公衆網500を介して保守対象PC200にアクセスし、保守対象PC200のメーカ領域の各ログ格納エリアに蓄積された稼動ログを、メーカ3のログデータベース303に蓄積する稼動ログ取得処理を行う。この稼動ログには環境ログ情報が含まれている。   In step 152, the maintenance management server 300 of the manufacturer 3 accesses the maintenance target PC 200 via the public network 500, and the operation log accumulated in each log storage area of the manufacturer area of the maintenance target PC 200 is stored in the log database 303 of the manufacturer 3. Operation log acquisition processing to be stored in the. This operation log includes environment log information.

ステップ153で、メーカ3のログデータベース303と故障率データベース304を用いて最新の障害指標値を算出する障害指標設定処理を行う。この障害指標設定処理では、故障率データベースに登録されている産業用PCを構成する部品ごとの故障率データから、産業用PCの各部品が現時点で、どの故障率データの範囲にあるかを算出し、その算出された故障率の範囲に対して障害発生頻度に対する重み付けを行って障害指標を算出する。算出された最新の障害指標値は、公衆網500を介して保守見積管理サーバ100へ送られる。ステップ154で、保守見積管理サーバ100は、受信した最新の障害指標値をもとに保守対象PC200の将来の保守料金推移を算出する保守料金推移算出処理を行う。   In step 153, failure index setting processing for calculating the latest failure index value using the log database 303 and failure rate database 304 of the manufacturer 3 is performed. In this failure index setting process, the failure rate data range for each part of the industrial PC is calculated from the failure rate data for each component that constitutes the industrial PC registered in the failure rate database. Then, the failure index is calculated by weighting the failure occurrence frequency with respect to the calculated failure rate range. The calculated latest failure index value is sent to the maintenance estimate management server 100 via the public network 500. In step 154, the maintenance estimate management server 100 performs a maintenance fee transition calculation process for calculating a future maintenance fee transition of the maintenance target PC 200 based on the received latest failure index value.

ステップ155で、保守会社1の保守管理サーバ300は、個々の保守部品単位での最新の障害指標と過去の障害指標との比較分析する比較分析処理を行い、障害指標履歴データベース104および保守履歴データベース103を用いて保守対象PC200の障害指標診断を行う。そして、この障害指標診断により得られた危険部位を顧客に提示し、保守料金を下げるための改善提案を行う。   In step 155, the maintenance management server 300 of the maintenance company 1 performs a comparative analysis process for comparing and analyzing the latest failure index and the past failure index in units of individual maintenance parts, and the failure index history database 104 and the maintenance history database. 103 is used to perform a failure index diagnosis of the maintenance target PC 200. Then, the dangerous part obtained by the failure index diagnosis is presented to the customer, and an improvement proposal for reducing the maintenance fee is made.

ステップ156で、改善提案実施の確認を行い、ステップ157で、顧客が改善提案を実施する場合は、料金値下げを行い、ステップ158で、改善を実施しない場合は、料金値上げを選択する。   In step 156, confirmation of implementation of the improvement proposal is made. In step 157, if the customer implements the improvement proposal, the price is reduced. If the improvement is not implemented in step 158, the price increase is selected.

想定保守料金の推移は次のようにして設定される。障害指標と保守料金設定の関係を図4に示す。   The transition of the assumed maintenance fee is set as follows. FIG. 4 shows the relationship between the failure index and the maintenance fee setting.

保守会社1は、基準となる障害指標をもとに、新製品の場合の最低保守料金756,設置環境リスク料金755を考慮して想定保守料金の推移752を算出する。この想定保守料金の推移752に対して、保守対象PC200の設置環境条件が悪い場合は、障害指標が大きくなるため、想定保守料金の推移752と比べて、保守料金の推移の勾配は大きくなり保守料金の推移(A)750のように保守料金が高く設定される。保守対象PC200の設置環境条件が良い場合は、障害指標が小さくなるため、想定保守料金の推移752と比べて、保守料金の推移の勾配は小さくなり保守料金の推移(B)753のように保守料金が安く設定される。   The maintenance company 1 calculates a transition 752 of an assumed maintenance fee in consideration of the minimum maintenance fee 756 and the installation environment risk fee 755 in the case of a new product, based on the standard failure index. When the installation environment condition of the maintenance target PC 200 is bad, the failure index becomes large with respect to the transition 752 of the assumed maintenance fee. Therefore, the gradient of the maintenance fee is larger than the transition 752 of the assumed maintenance fee and the maintenance is performed. The maintenance fee is set high as shown in fee transition (A) 750. When the installation environment condition of the maintenance target PC 200 is good, the failure index is small, so that the gradient of the maintenance fee is smaller than the transition 752 of the assumed maintenance fee, and maintenance is performed as in the maintenance fee transition (B) 753. The price is set low.

また、保守料金754は、保守会社1が提供できる保守サービスのリスク限界であり、想定保守料金の推移752の場合では保守料金のリスク限界点(B)758に達するのは4年目であるが、設置環境が悪い場合の保守料金の推移(A)750では保守料金のリスク限界点(A)751に達するのは、2.5 年目となる。このため、保守会社1は、リスクを回避するために設置環境の改善、又は2.5 年以内での部品を交換することを提案する。   The maintenance fee 754 is the risk limit of the maintenance service that can be provided by the maintenance company 1. In the case of the assumed maintenance fee transition 752, the maintenance fee risk limit (B) 758 is reached in the fourth year. When the installation environment is poor (A) 750, the maintenance charge risk limit (A) 751 is reached in the 2.5th year. Therefore, maintenance company 1 proposes to improve the installation environment or replace parts within 2.5 years in order to avoid risks.

顧客が提案された改善を実施する場合、保守料金の推移の勾配は小さくなり、リスクが回避できるため、設置環境リスク料金755の一部を保守料金から差し引くことにより適切な安い保守料金を提供することが可能となる。また、顧客が2.5 年以内のサイクルで何らかの改善を継続して実施する場合、保守料金754内で保守サービスを継続して提供することが可能となる。このため、保守料金を定額に設定しても保守会社のビジネスリスクを回避することができる。   When the customer implements the proposed improvement, the slope of the maintenance fee will become smaller and the risk can be avoided. Therefore, an appropriate low maintenance fee can be provided by subtracting a part of the installation environment risk fee 755 from the maintenance fee. It becomes possible. In addition, when the customer continuously performs some improvement within a cycle of 2.5 years or less, the maintenance service can be continuously provided within the maintenance fee 754. For this reason, even if the maintenance fee is set to a fixed amount, the business risk of the maintenance company can be avoided.

顧客が設置環境を改善しない状態で、2年目で部品交換を実施した場合には、設置環境がそのままなので障害指標に変化がないので、保守料金の推移の勾配も変化がない。このため、部品交換後は、部品交換を行ったことで保守対象PCが新品と同じ状態になり、保守料金の推移の出発点は、最低保守料金756となり、保守料金の推移(C)757となる。   If the customer does not improve the installation environment and replaces parts in the second year, the installation environment remains the same, so there is no change in the failure index, and the slope of the maintenance fee does not change. For this reason, after the parts replacement, the maintenance target PC is in the same state as the new one by replacing the parts, and the starting point of the transition of the maintenance fee is the minimum maintenance fee 756, and the transition of the maintenance fee (C) 757 Become.

図5に障害指標診断のWeb画面例を示す。Web画面600には、障害指標診断の題名601,保守対象PCの製造番号602,指標計算式603,部品単位の指標一覧604,診断結果の文章605が表示される。   FIG. 5 shows an example of a Web screen for failure index diagnosis. The Web screen 600 displays a fault index diagnosis title 601, a maintenance target PC serial number 602, an index calculation formula 603, a part-by-part index list 604, and a diagnosis result sentence 605.

指標計算式603には、HDD指標,CD−ROM指標,FDD指標,メモリ指標,電源指標等が示され、図5に示すように、HDD指標としては温度+通電時間+振動+アクセス回数で計算される。部品単位の指標一覧604には、環境情報である通電時間,振動,温度,アクセス回数,リトライ回数,メモリエラーログ等のそれぞれに対して設置環境パラメータが表示され、障害指標及びHDD,CD−ROM等の各部品の指標が表示される。また、各部品の今回の指標合計,前回の指標合計が表示される。診断結果の文章605には、前回との比較結果、不具合の発生する可能性,提案内容等が表示される。   The index calculation formula 603 shows HDD index, CD-ROM index, FDD index, memory index, power index, etc. As shown in FIG. 5, the HDD index is calculated by temperature + energization time + vibration + access count. Is done. The part-by-part index list 604 displays installation environment parameters for energization time, vibration, temperature, number of accesses, number of retries, memory error log, and the like, which are environment information. The fault index, HDD, CD-ROM Etc., an index of each part is displayed. In addition, the current index total and the previous index total of each part are displayed. In the diagnosis result sentence 605, a comparison result with the previous time, a possibility of occurrence of a defect, a proposal content, and the like are displayed.

図6に保守料金と改善提案のWeb画面例を示す。Web画面700には、保守料金と改善提案の題名701,保守料金の推移グラフ706,グラフの線の説明705,部品交換時の料金702,保守料金値上げ(2年目以降)703,設置環境改善時の料金704,改善提案の文章707,提案実施の確認ボタン708,709が表示される。   FIG. 6 shows an example of a maintenance fee and improvement proposal Web screen. On the Web screen 700, a maintenance fee and improvement proposal title 701, a transition graph 706 of the maintenance fee, a description 705 of the graph line, a fee 702 at the time of parts replacement, a maintenance fee increase (after the second year) 703, and an improvement of the installation environment An hour fee 704, an improvement proposal sentence 707, and proposal implementation confirmation buttons 708 and 709 are displayed.

図6に示す例では、実線の通常の保守料金推移が2年目以降は通常の保守料金を超えて2年目以降は値上となることが示され、一点鎖線の環境改善時の料金推移により2年目では設置環境改善時の料金が安くなることが示されている。また、一点鎖線の部品交換時の料金の推移が示されている。改善提案の文章707には、改善を実施する場合のコメント、及び改善を実施しない場合のコメントが示される。   In the example shown in FIG. 6, it is shown that the normal maintenance fee trend of the solid line exceeds the normal maintenance fee in the second year and beyond, and is on the value after the second year. This shows that in the second year, the fee for improving the installation environment will be reduced. In addition, the change of the charge at the time of parts replacement of the one-dot chain line is shown. The improvement proposal sentence 707 shows a comment when the improvement is performed and a comment when the improvement is not performed.

顧客側が、この障害指標診断および保守料金と改善提案の内容を検討して改善を実施しない場合は、「提案を実施せず」の確認ボタン709を選択する。保守会社1は、「提案を実施せず」の確認ボタン709が入力されたことを確認すると、保守料金の値上げを行う。顧客側が改善を実施する場合は、「提案を実施する」の確認ボタン708を選択する。保守会社1は、「提案を実施する」の確認ボタン708が入力されたことを確認すると、保守料金を安く設定する。ここで保守料金の値下げを提案することで保守契約率の向上が期待でき、保守部品の交換を促進することで予防保全を可能とする保守販売方式が実現できる。   When the customer examines the failure index diagnosis, the maintenance fee, and the content of the improvement proposal and does not implement the improvement, the customer selects the confirmation button 709 “do not implement the proposal”. When the maintenance company 1 confirms that the confirmation button 709 “do not make a proposal” is input, the maintenance company 1 increases the maintenance fee. When the customer side performs improvement, the confirmation button 708 of “Implement proposal” is selected. When the maintenance company 1 confirms that the “execute proposal” confirmation button 708 has been input, the maintenance company 1 sets the maintenance fee cheaply. By proposing a reduction in the maintenance fee here, an improvement in the maintenance contract rate can be expected, and a maintenance sales system that enables preventive maintenance by promoting replacement of maintenance parts can be realized.

本実施例によれば、障害指数を用いて近い将来、障害が起こる可能性の高い部品を具体的に提示して部品交換の提案を行うことができる。また、産業用PCの設置環境ログおよび稼動ログを取得,分析することで得られた産業用PCの障害指標をもとに、産業用PCの保守料金の推移を算出して保守金を下げるための障害指標の改善提案を行い、顧客が改善を実施する場合は、保守料金を値下げすることができる。障害指標の改善提案を実施しない場合は、保守料金を値上げすることで将来の保守会社のビジネスリスクを軽減することができる。また、障害指標を下げる改善を実施することにより、顧客側のシステムまたは装置の信頼性の向上が図られる。   According to the present embodiment, it is possible to propose parts replacement by specifically presenting parts that are likely to fail in the near future using the fault index. In addition, in order to lower the maintenance fee by calculating the transition of the maintenance fee of the industrial PC based on the failure index of the industrial PC obtained by acquiring and analyzing the installation environment log and operation log of the industrial PC If the customer proposes improvement of the failure index and the customer implements improvement, the maintenance fee can be reduced. If the improvement proposal of the failure index is not implemented, the business risk of the future maintenance company can be reduced by raising the maintenance fee. Further, by implementing an improvement that lowers the failure index, the reliability of the system or apparatus on the customer side can be improved.

また、保守会社が予め基準と定めた保守料金の推移から保守会社が考慮するビジネスリスク分を含めた保守料金を設定する場合、産業用PCの保守料金の推移を比較分析することで、保守料金内で提供できる将来のビジネスリスクの限界ポイントが判断できるようになる。また、この限界ポイントとなる前に障害指標を小さくする改善提案を行い、顧客が改善を実施することで保守料金を下げることを可能とし、保守契約率の向上を図ることができる。   In addition, when setting a maintenance fee that includes the business risk that the maintenance company considers from the change in the maintenance fee that the maintenance company has set as a standard in advance, the maintenance fee will be analyzed by comparing and analyzing the change in the maintenance fee for industrial PCs. The limit point of the future business risk that can be provided within can be determined. In addition, an improvement proposal for reducing the failure index is made before the limit point is reached, and the maintenance fee can be lowered by the customer implementing the improvement, and the maintenance contract rate can be improved.

又、障害指標をもとに障害指標診断を提供し、最新の障害指標と過去の障害指標を分析することで、設置環境のパラメータ単位でのきめ細かい改善提案が可能となり、近い将来障害の起こる可能性の高い部品を具体的に顧客に提示でき、部品交換の提案を行うこができるので、予防保全を可能とする保守販売方式を実現できる。   Also, by providing failure index diagnosis based on the failure index and analyzing the latest failure index and past failure index, it is possible to make detailed improvement proposals in parameter units of the installation environment, and failure may occur in the near future Since highly reliable parts can be specifically presented to customers and parts replacement proposals can be made, a maintenance sales system that enables preventive maintenance can be realized.

本発明の一実施例であるシステムの構成図である。It is a block diagram of the system which is one Example of this invention. 保守対象PCの製品の構成図である。It is a block diagram of the product of maintenance object PC. ログ収集と障害指標分析による改善提案の流れ図である。It is a flowchart of improvement proposal by log collection and failure index analysis. 障害指標と保守料金設定の関係を示す図である。It is a figure which shows the relationship between a failure parameter | index and a maintenance charge setting. 障害指標診断のWeb画面例を示す平面図である。It is a top view which shows the example of a web screen of failure index diagnosis. 保守料金と改善提案のWeb画面例を示す平面図である。It is a top view which shows the example of a maintenance fee and the web screen of an improvement proposal.

符号の説明Explanation of symbols

1…保守会社、2…購入者、3…メーカ、100…保守見積管理サーバ、101…Webページ、106,306…イントラネット、107,307…ゲートウェイ、200…保守対象PC、201…ブラウザ、202…通信端末、300…保守管理サーバ、410…アセンブリA、420…アセンブリB、430…アセンブリC、440…アセンブリD、450…アセンブリE、460…アセンブリF。


DESCRIPTION OF SYMBOLS 1 ... Maintenance company, 2 ... Purchaser, 3 ... Manufacturer, 100 ... Maintenance estimate management server, 101 ... Web page, 106, 306 ... Intranet, 107, 307 ... Gateway, 200 ... Maintenance target PC, 201 ... Browser, 202 ... Communication terminal 300 ... maintenance management server 410 ... assembly A, 420 ... assembly B, 430 ... assembly C, 440 ... assembly D, 450 ... assembly E, 460 ... assembly F.


Claims (5)

保守対象PCの各ログ格納エリアに蓄積され各種センサから得られた稼動ログ情報と設置環境ログ情報を受信して障害指標値を算出し、算出した障害指標値をもとに保守料金推移を算出し、前記障害指標と過去の障害指標を比較分析して障害指標診断を行い、この障害指標診断により得られた危険部位を顧客のWeb画面に提示して保険料金を下げるための改善提案を行う産業用パーソナルコンピュータの提案型の保守販売方法。   Receives operation log information and installation environment log information obtained from various sensors accumulated in each log storage area of the maintenance target PC, calculates the failure index value, and calculates the maintenance fee transition based on the calculated failure index value Then, the failure index diagnosis is performed by comparing and analyzing the failure index and the past failure index, and an improvement proposal for reducing the insurance fee by presenting the dangerous part obtained by the failure index diagnosis on the Web screen of the customer is performed. A proposal-type maintenance and sales method for industrial personal computers. 産業用PCに設置した各種センサにより収集された稼動ログ情報と設置環境ログ情報と、故障率データベースを用いて算出された障害指標値を保守見積管理サーバが受信し、該保守見積管理サーバは、受信した障害指標値をもとに保守対象PCの将来の保守料金推移を算出し、前記受信した障害指標値と過去の障害指標値を比較分析し、障害指標履歴データベース及び保守履歴データベースを参照して保守対象PCの障害指標診断を行い、該障害指標診断により得られた危険部位を顧客のWeb画面に提示して保険料金を下げるための改善提案を行う産業用パーソナルコンピュータの提案型の保守販売方法。   The maintenance estimate management server receives operation log information and installation environment log information collected by various sensors installed on an industrial PC, and a failure index value calculated using a failure rate database. Based on the received failure index value, calculate the future maintenance fee transition of the maintenance target PC, compare and analyze the received failure index value and the past failure index value, and refer to the failure index history database and the maintenance history database. Proposal-type maintenance sales of industrial personal computers that perform failure index diagnosis of maintenance target PCs and present improvement parts for lowering insurance charges by presenting the dangerous parts obtained by the failure index diagnosis on the customer's Web screen Method. 前記障害指標値は、前記故障率データベースに登録されている産業用PCを構成する部品ごとの故障率データから、産業用PCの各部品が現時点で、どの故障率データの範囲にあるかを算出し、その算出された故障率の範囲に対して障害発生頻度に対する重み付けを行って障害指標を算出する請求項1又は2に記載の産業用パーソナルコンピュータの提案型の保守販売方法。   The failure index value is calculated from the failure rate data for each part constituting the industrial PC registered in the failure rate database, to which failure rate data range each industrial PC part currently has 3. A proposed maintenance sales method for an industrial personal computer according to claim 1, wherein a failure index is calculated by weighting the failure occurrence frequency with respect to the calculated failure rate range. 前記顧客のWeb画面に指標計算式,部品単位の指標一覧,診断結果の文章を表示する請求項1又は2に記載の産業用パーソナルコンピュータの提案型の保守販売方法。   3. The proposed maintenance sales method for an industrial personal computer according to claim 1, wherein an index calculation formula, an index list for each part, and a sentence of a diagnosis result are displayed on the customer's Web screen. 前記顧客のWeb画面に保険料の推移グラフ,保守料金の値上げ,設置環境改善時の料金,改善提案の文章を表示する請求項1又は2に記載の産業用パーソナルコンピュータの提案型の保守販売方法。

3. The proposed maintenance sales method for an industrial personal computer according to claim 1, wherein a transition graph of insurance premiums, a raise in maintenance fee, a fee for improving the installation environment, and a text of improvement proposal are displayed on the Web screen of the customer. .

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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009104322A (en) * 2007-10-22 2009-05-14 Nec Fielding Ltd Installation environmental information monitoring system, processor, installation environmental information monitoring method, and program
JP2010146072A (en) * 2008-12-16 2010-07-01 Nec Corp Apparatus, method and program for monitoring failure of computer
US8112489B1 (en) * 2008-09-29 2012-02-07 Emc Corporation Client processing in response to managed system state changes
US8577646B2 (en) 2009-03-30 2013-11-05 Kabushiki Kaisha Toshiba User evaluation apparatus depending on hardware usage status
JP2019086910A (en) * 2017-11-02 2019-06-06 Necフィールディング株式会社 Work instruction apparatus, system, method and program
JP2019091304A (en) * 2017-11-15 2019-06-13 株式会社日立ビルシステム Maintenance fee presenting method, and maintenance fee presentation system
JP2020166860A (en) * 2019-03-29 2020-10-08 ダイキン工業株式会社 Maintenance contract fee calculation system
CN114860784A (en) * 2022-07-05 2022-08-05 北京神州光大科技有限公司 Automatic quotation system for IT maintenance service
WO2023195059A1 (en) * 2022-04-05 2023-10-12 三菱電機株式会社 Maintenance plan assistance device, maintenance plan assistance method, maintenance plan assistance program, and maintenance plan assistance system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS62121550A (en) * 1985-11-22 1987-06-02 Oki Electric Ind Co Ltd Self-diagnosis method for device
JP2002259655A (en) * 2001-03-01 2002-09-13 Hitachi Ltd System and method for simulating profit and loss and service business profit and loss predicting system
JP2002370630A (en) * 2001-06-15 2002-12-24 Hitachi Ltd Preventive maintenance service system for automobile
JP2003122865A (en) * 2001-10-10 2003-04-25 Mitsubishi Electric Corp Maintenance charge computing device and maintenance charge computing method
JP2003178153A (en) * 2001-12-12 2003-06-27 Konica Corp Maintenance information providing system, host computer and electronic apparatus
JP2003217009A (en) * 2002-01-24 2003-07-31 Fuji Electric Co Ltd Reuse system for automatic vending machine
JP2004133643A (en) * 2002-10-10 2004-04-30 Mitsubishi Heavy Ind Ltd Method for making plant maintenance contract

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS62121550A (en) * 1985-11-22 1987-06-02 Oki Electric Ind Co Ltd Self-diagnosis method for device
JP2002259655A (en) * 2001-03-01 2002-09-13 Hitachi Ltd System and method for simulating profit and loss and service business profit and loss predicting system
JP2002370630A (en) * 2001-06-15 2002-12-24 Hitachi Ltd Preventive maintenance service system for automobile
JP2003122865A (en) * 2001-10-10 2003-04-25 Mitsubishi Electric Corp Maintenance charge computing device and maintenance charge computing method
JP2003178153A (en) * 2001-12-12 2003-06-27 Konica Corp Maintenance information providing system, host computer and electronic apparatus
JP2003217009A (en) * 2002-01-24 2003-07-31 Fuji Electric Co Ltd Reuse system for automatic vending machine
JP2004133643A (en) * 2002-10-10 2004-04-30 Mitsubishi Heavy Ind Ltd Method for making plant maintenance contract

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009104322A (en) * 2007-10-22 2009-05-14 Nec Fielding Ltd Installation environmental information monitoring system, processor, installation environmental information monitoring method, and program
US8112489B1 (en) * 2008-09-29 2012-02-07 Emc Corporation Client processing in response to managed system state changes
JP2010146072A (en) * 2008-12-16 2010-07-01 Nec Corp Apparatus, method and program for monitoring failure of computer
US8577646B2 (en) 2009-03-30 2013-11-05 Kabushiki Kaisha Toshiba User evaluation apparatus depending on hardware usage status
JP2019086910A (en) * 2017-11-02 2019-06-06 Necフィールディング株式会社 Work instruction apparatus, system, method and program
JP2019091304A (en) * 2017-11-15 2019-06-13 株式会社日立ビルシステム Maintenance fee presenting method, and maintenance fee presentation system
JP2020166860A (en) * 2019-03-29 2020-10-08 ダイキン工業株式会社 Maintenance contract fee calculation system
WO2020203842A1 (en) * 2019-03-29 2020-10-08 ダイキン工業株式会社 Maintenance contract fee calculation system
CN113632115A (en) * 2019-03-29 2021-11-09 大金工业株式会社 Maintenance contract fee calculation system
US11429937B2 (en) 2019-03-29 2022-08-30 Daikin Industries, Ltd. Maintenance contract fee calculation system
WO2023195059A1 (en) * 2022-04-05 2023-10-12 三菱電機株式会社 Maintenance plan assistance device, maintenance plan assistance method, maintenance plan assistance program, and maintenance plan assistance system
JP7446549B1 (en) 2022-04-05 2024-03-08 三菱電機株式会社 Maintenance planning support device, maintenance planning support method, maintenance planning support program, and maintenance planning support system
CN114860784A (en) * 2022-07-05 2022-08-05 北京神州光大科技有限公司 Automatic quotation system for IT maintenance service
CN114860784B (en) * 2022-07-05 2022-11-04 北京神州光大科技有限公司 Automatic quotation system for IT maintenance service

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