TW200951837A - Inspection managing system and method - Google Patents
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200951837 九、發明說明： 【發明所屬之技術領域】 本案是關於一種巡檢管理系統及方法，特別是關於 一種用於消防設備巡檢之巡檢管理系統及方法。 【先前技術】200951837 Nine, invention description: [Technical field of invention] The present invention relates to a patrol management system and method, and more particularly to a patrol management system and method for patrol inspection of fire equipment. [Prior Art]
目刖工薇或大樓中的消防設備幾乎都沒有中央監 控僅靠值班人貝依排班方式至現場進行設備巡查與、纪 錄’紀錄完成後再靠人力完成資料整理與報表製作及主 管簽核，對於查核異常缺失與重要監測^值也無統計分 w，，無法達到設備重要監測項目的趨勢統計分析與預 警功能。要能達到設備預警功能就必須在設備失效前提 出警告，對於消防設備目前只有法規訂定某些參數的界 限值超過時’代表系統已經失效但無法達到預警功能。 而利用統計方法可找出預警界限值，解決預警的°問題。 此=，設備巡查目前多以外包為主，雇主希望外包 巡檢人員，能確實到位進行檢查。然而，無論是使用光 學條碼或麵電？縣(咖>)符賴備，減有可能發 生^複製條竭或無線電子標藏而未到位的問題。另〆 疋巡檢效率如何提升，巡檢人員常發生要花時間思 、、下一個查核設備是誰？查核地點在那？〃的問題，造 成巡查時間與人力成本的浪費。若是能有-套系統能輔 助主動告㈣查縣與位置，則謂助巡檢 時間内完成巡查I作。 ㈣敢短 為了解決以上所述的問題，需要更有效的迩檢管理 5 200951837 系統及方法。職是之故， 經悉心之研究，並一本鐵 『巡檢管理系統及方法』。 【發明内容】 本案發明人鏗於以上的需求， 而不捨的精神，終創作出本案Seeing that Weiwei or the fire-fighting equipment in the building has almost no central monitoring, only the duty person Beiyi scheduling method to the site to conduct equipment inspections and records. After the completion of the record, the manpower is completed to complete the data collation and report production and the supervisor signing. There is no statistical distinction between the abnormality of the check and the important monitoring value, and the trend statistical analysis and early warning function of the important monitoring items of the equipment cannot be achieved. In order to be able to achieve the equipment warning function, it is necessary to issue a warning before the equipment fails. For the fire equipment, only the limit of certain parameters is exceeded when the regulations are exceeded, the system has failed but the warning function cannot be achieved. The statistical method can be used to find the warning threshold value and solve the problem of the warning. This =, equipment inspections are currently mostly outsourcing, employers want to outsource inspection personnel, can be in place to check. However, whether using optical barcodes or surface power? The county (cafe >) is dependent on the issue, and it is possible that there is a problem that the copying is exhausted or the wireless electronic identification is not in place. 〆 疋 How to improve the efficiency of inspections, inspection personnel often take time to think, who is the next inspection equipment? Where is the checkpoint? The embarrassing problem is a waste of inspection time and labor costs. If there is a system that can assist the initiative to inform (4) to check the county and the location, it means that the inspection is completed within the inspection time. (4) Dare to be short In order to solve the above problems, more effective inspection management is needed. 5 200951837 System and method. The post is the reason, after careful research, and an iron "patrol management system and method." [Summary of the Invention] The inventor of the case succumbed to the above needs, and the spirit of perseverance, finally created the case
用使tit::”提出—種巡檢管理系統及方法，利 徵:統計現有的巡檢資料，獲得複數:檢二 順位與一對象符號組 現機輋八& ^ 出現機率分佈，根據該出 刀佈’確認一巡檢是否到位或提示一巡 2二間順位所對應的—特定對象符號，以節省人力 巡檢中一特Use tit::" to propose a kind of inspection management system and method, and collect the statistics: the existing inspection data, obtain the plural: check the second order and an object symbol group, the probability of the occurrence of the probability distribution, according to The exiting cloth 'confirm whether a patrol is in place or a specific object symbol corresponding to a patrol 2 and 2 positions to save manpower inspection
與時間成本且達到設備之預知保養功效。 驟.種巡檢管理方法，該方法包括下列步 第二間順位、複數第一對象符號組與- 別對應二^中各第-對象符號組的複數份子分 對象檢時間順位；利用統計地分析該等第- 1象符號組倾數份子，蚊該第-對象舰組的各份 每一該出 2之!中該特定巡檢時間順位為該等巡檢時 •八巩I" 丁，伏疋钱弟二 現機位的各出現機率；及，根據每—該出 棱不一特定巡檢時間順位所對應的 組的該箄特定對象符號出現於該等第一對象符 "π 與該第二對象符號組的複數份子中。 选*L 乂佳者，該巡檢管理方法，更包括下列步 巡檢灸Γ該特定對象符號所對應的一特定被 象的-參數的量值資料，其中該量值資料按照該 號 經由 6 200951837 等第應的複數巡檢時間的順序排列。 量值資料财法，更包括下咐驟：從該 樣本的=複與數一= 差，^ 差，制定-預邀值上據該平均值與該標準 鄰近連續樣太^ 與U下限；及，根據該等 下限二的;=該預警值上限與該預警值 ❹ ❹ 量值Ϊίί選管理方法，更包括下列步驟··從該 該等巡檢時門2數連續樣本，其中該等連續樣本位於 間；獲第一巡檢時間與一第二巡檢時間之 均值為兮第-續樣本的一第一平均值；設定該第一平 該起巡=時該參數的—起始平均值；根據 警值t 調整係數，歡—預警值上限與一預 及，根據在該第二巡檢時間之後的一巡檢所 限盥;預符號的該參數的-量值超過該預警值上 ”該預警值下限之間的範圍，發出警告。 檢對象m钱，且該參 β出水、机量與一幫浦運轉電流的其中之一。 m _。案又提士一種巡檢管理系統，該系統包括一處理 該處理單元設置複數巡檢時間順位、複數第一對 _/號組f第二對象符號組，湘統計地分析該等第 對象符號組的複數份子，決定該第二對象符號組的各 :子於各,檢時間順位的各出現機率 ，且根據每一該出 現機率，提示一特定巡檢時間順位所對應的一特定對象 7 200951837 中4第一對象符號組的複數份子分別對應於該 等^^間順位，該特定巡檢時間順位為該等巡檢 順位的其中之-’且該特定對象符號出現於該等第一二 ^符號組的料份子巾無第二對象符敝的複數份子 本案再提出一種巡檢管理方法，該方法包括下 驟：設置複數巡檢時間順位、複數第—對象符號組與— 第二對象符餘，其中各第—對象符號_複數份子與 ❹ 該第二對象符餘的複數份子皆分卿應於料巡檢^ 間順位；經由統計地分析該等第—對象符號組的複數份 子與該第二對象符號組的該等份子，決定該第二對象符 號組的各份子於各巡檢時間順位的各同輪出現機率\ 及，根據每一該同輪出現機率，確認一輪巡檢是否到位， 其中該第二對象符號組由該輪巡檢產生。 本案更提出一種巡檢管理系統，該系統包括一處理 單元。該處理單元設置複數巡檢時間順位、複數第一對 ❹ 象符號組與一第二對象符號組，經由統計地分析該等第 一對象符號組的複數份子與該第二對象符號組的該等份 子，決定該第二對象符號組的各份子於各巡檢時間順位 的各同輪出現機率，且根據每一該同輪出現機率，確認 一輪巡檢是否到位，其中各第一對象符號組的複數份子 與該第二對象符號組的複數份子皆分別對應於該等巡檢 時間順位’且該第二對象符號組由該輪巡檢產生。 【實施方式】 200951837 請參閱第一圖，其為本案第一實施例所提巡檢管理 系統的示意圖。如圖所示，巡檢管理系統91包括一處理 單元W1。處理單元W1設置複數巡檢時間順位A11、 Α12Ά13Ά14.....AIM、複數對象符號組 Bl、B2、···、 BN與一對象符號組VI。對象符號組B1包括禎數於； 聊、_、州，、…、㈣，對象符號組 數份子 S40、S39、S41、S42.....S一NULL，且對象符 號組BN包括複數份子S39、S40、S42、SJWIX..... ❹ S80，其中份子S_NULL代表一空符號。 各對象符號組(如B2)的複數份子分別對應於該等巡 檢時間順位All、A12、A13、A14.....AIM，例如， 對象符號組B1的該等份子S39、S40、S41、S42..... S80分別對應於該等巡檢時間順位All、A12、A13、 A14.....A1M，對象符號組B2的該等份子S40、S39、 S41 ' S42.....s一NULL分別對應於該等巡檢時間順位And time cost and achieve the predictive maintenance of the equipment. a method for patrol management, the method comprising the following steps: a second order, a plurality of first object symbol groups, and a plurality of sub-object symbol groups in the corresponding two-sub-object sub-test time order; using statistical analysis The first - 1 symbol group is dumped, and the mosquitoes of the first-object ship group each have 2 out of it! The specific inspection time is the same as the inspection time. • Eight Gong I" The probability of each occurrence of the second position of the younger brother; and, according to each of the groups corresponding to the specific inspection time, the specific object symbol appears in the first object symbol "π with In the plural of the second object symbol group. In the case of selecting a *L, the inspection management method further includes the following steps: patrolling the quantity data of a specific image-parameter corresponding to the specific object symbol, wherein the quantity data is according to the number via 6 200951837 The order of the multiple inspection times should be arranged. The value data method, including the following steps: from the sample = complex and number one = difference, ^ difference, the formulation - the pre-invitation value according to the average and the standard adjacent continuous sample too ^ and U lower limit; and According to the lower limit two; the upper limit of the warning value and the warning value ❹ ❹ ί ί 管理 管理 ί 管理 管理 管理 管理 管理 管理 管理 管理 管理 管理 管理 管理 选 选 选 选 选 选 选 选 选 选 选 选 选 选 选 选 选 选 选 选 选 选 选 选The first average value of the first inspection time and the second inspection time is a first average value of the first-continuation sample; the initial average value of the parameter when the first level is set to the tour level is set; According to the alarm value t adjustment coefficient, the upper limit of the warning value and the pre-emption are limited according to a patrol inspection after the second patrol time; the pre-symbol value of the parameter exceeds the warning value" The range between the lower limit of the warning value is issued, and the warning is issued. The inspection object is m money, and the reference water is one of the water, the quantity and the running current of the pump. m _. The case is also a patrol management system, the system Including processing a processing unit to set a plurality of patrol time orders, a plurality of first pair _ / Group f second object symbol group, Hunan statistically analyzes the plural components of the first object symbol group, determines each occurrence of the second object symbol group: each of the detection time order occurrence probability, and according to each occurrence Probability, suggesting that a specific object corresponding to a specific inspection time sequence 7 200951837, the plurality of first object symbol groups respectively correspond to the sum of the ^^, the specific inspection time order is the inspection order Wherein - and the specific object symbol appears in the first two-symbol group of the sub-clothes without the second object symbol, the present invention also proposes a patrol management method, the method includes the following steps: setting a complex patrol Checking the time order, the complex number - the object symbol group and the - the second object symbol remainder, wherein each of the first object symbols _ complex parts and ❹ the second object symbol of the remainder of the number of copies of the division should be inspected by the material inspection; By statistically analyzing the plural components of the first object symbol group and the aliquot of the second object symbol group, determining the respective rounds of the second object symbol group in each of the inspection time orders The current probability \ and, according to the probability of occurrence of each of the same round, confirm whether a round of inspection is in place, wherein the second object symbol group is generated by the round inspection. The present invention further provides a inspection management system, the system includes a processing unit The processing unit sets a plurality of patrol time units, a plurality of first pair of symbol groups, and a second object symbol group, by statistically analyzing the plurality of parts of the first object symbol group and the second object symbol group The equal component determines the probability of occurrence of each of the second object symbol group in each of the same time of the inspection time, and confirms whether a round of inspection is in place according to the probability of occurrence of each of the same rounds, wherein each of the first object symbol groups The plural elements of the second object symbol group and the plurality of the second object symbol group respectively correspond to the patrol time order ' and the second object symbol group is generated by the round patrol. [Embodiment] 200951837 Please refer to the first figure, A schematic diagram of the inspection management system proposed in the first embodiment of the present invention. As shown, the inspection management system 91 includes a processing unit W1. The processing unit W1 sets a plurality of patrol time units A11, Α12Ά13Ά14.....AIM, a plurality of object symbol groups Bl, B2, . . . , BN and an object symbol group VI. The object symbol group B1 includes the number of parameters; chat, _, state, ..., (4), the object symbol group number S40, S39, S41, S42.....S-NULL, and the object symbol group BN includes the plural number S39 , S40, S42, SJWIX..... ❹ S80, where the part S_NULL represents an empty symbol. The plural elements of each object symbol group (such as B2) respectively correspond to the patrol time units All, A12, A13, A14.....AIM, for example, the elements S39, S40, S41 of the object symbol group B1, S42..... S80 respectively correspond to the patrol time orders All, A12, A13, A14.....A1M, the equal parts S40, S39, S41 'S42..... of the object symbol group B2. s-NULL corresponds to the patrol time order
All、A12、A13、A14、…、AIM。對象符號組VI包括 ❹ 複數份子S1.....S39、S40、S4卜…、S80。 處理單元wi利用統計地分析該等對象符號組B1、 B2.....BN 的複數份子 S39、S40、S4卜 S42.....S80 > S40、S39、S41、S42、…、S_NULL、...、S39、S40、 S42、S_NULL、…、S80 ’決定對象符號組V1的各份子 (如S39)出現於各巡檢時間順位(如A11)的各出現機率(如 P61)，且根據每一該出現機率(如p61、p72、、·.·等）， 提示一特定巡檢時間順位(如A12)所對應的一特定對象 符號(如S40)。 9 200951837 特疋巡檢時間順位（如A12)為該等巡檢時間順位 H λ·αΑ12、Al3、A14.....A1M的其中之一。該特定 對象符號(如S40)出現於該等對象符號組m、B2、…、 的該等伤子 S39、S4〇、S41、S42、…、S80、S40、 S39 S41、S42、...、s_NULL、…、S39、S40、S42、 S~NULL.....S80巾’且出現於對象符號組VI的該等 份子 S1.....S39、S40、S41.....中。All, A12, A13, A14, ..., AIM. The object symbol group VI includes ❹ plural parts S1.....S39, S40, S4b..., S80. The processing unit wi statistically analyzes the plural parts S39, S40, S4, S42.....S80 > S40, S39, S41, S42, ..., S_NULL of the object symbol groups B1, B2, . . . BN , , , , , , , , , , , , , , , , , , , , , According to each occurrence probability (such as p61, p72, ..., etc.), a specific object symbol (such as S40) corresponding to a specific inspection time order (such as A12) is prompted. 9 200951837 Special inspection time (such as A12) is one of the inspection time H λ·αΑ12, Al3, A14.....A1M. The specific object symbols (such as S40) appear in the wounds S39, S4〇, S41, S42, ..., S80, S40, S39, S41, S42, ..., of the object symbol groups m, B2, ..., s_NULL, ..., S39, S40, S42, S~NULL.....S80 towel' and appear in the equal parts S1.....S39, S40, S41..... of the object symbol group VI.
.該等巡檢時間順位A1b A12、A13、A14、...、A1M 可2表該等對象符號組m、B2、…、BN中的-預設對 象付號組(如B2)的複數份子(如S4〇、S39、S41、S42、…、 S—null)的複數排列順序位置或料排列順序位置所對 應的順序符號，其巾該等排制序位置對應於依照時間 順序被巡檢的複數被巡檢對象(未顯示）。該特定巡檢時間 ，位(如A12)可為-輪巡檢中的一下一巡檢時間順位。對 象符號組的該等份子S1、…、S39、S4〇、S41、…、 娜可包括該等對象符號組m、B2、…、BN的該等份 子中的全部非重複份子或部分非重複份子。 該特定對象符號(如可對應於一特定被巡檢對 象(未顯示），例如，該特定對象舰(如S4G)可對應於一The patrol time ranks A1b A12, A13, A14, ..., A1M may represent the plural of the preset object pay group (such as B2) in the object symbol groups m, B2, ..., BN. (such as S4〇, S39, S41, S42, ..., S-null) the sequential order position or the order position corresponding to the order of the material arrangement, the order of the rows of the towels corresponding to the chronological inspection The number of objects to be inspected (not shown). The specific inspection time, such as A12, can be the next inspection time in the round inspection. The aliquots S1, ..., S39, S4 〇, S41, ..., Na of the object symbol group may include all non-repetitive or partial non-repetitive elements in the aliquots of the object symbol groups m, B2, ..., BN . The specific object symbol (e.g., may correspond to a particular object being inspected (not shown), for example, the particular object ship (e.g., S4G) may correspond to a
消防设備、生物或裝置(未顯示)。該特定對象符號(如S 可為該特定被巡檢對象的朗碼、名稱或敘述：對^ 等對象符號組B1、B2、...、BNm-縣符號私；； B2)的複數分子(如 S40、S39、S41、s42、…、 =對應的複數被巡檢對象在趨勢上可按照㈣~次序排） 10 200951837 處理單元wi可為一電子化裝置，且可利用該特定 對象符號(如S40)和一晝面或一語音，提示該特定被巡椽 對象的位置與名稱。處理單元W1可安排一學習性的巡 檢，可利用該學習性的巡檢，獲得分別對應於該等巡檢 時間順位A11、A12、A13、A14、…、AIM的·一第一對 ，符號組的複數份子，且可設置該第—縣符號組為該 等對象符號組B1、B2、…、BN的其中之一。 一第一輪巡檢可獲得該對象符號組B1，一第二輪巡Fire fighting equipment, creatures or devices (not shown). The specific object symbol (such as S may be the Lang code, name or narrative of the specific object to be inspected: object symbol group B1, B2, ..., BNm - county symbol private;; B2) complex numerator ( For example, S10, S39, S41, s42, ..., = corresponding plural objects to be inspected can be ranked according to (4) to order. 10 200951837 The processing unit wi can be an electronic device, and the specific object symbol can be utilized (such as S40) and a face or a voice prompting the location and name of the particular object to be patrolled. The processing unit W1 can arrange a learning patrol, and the learning patrol can be used to obtain a first pair corresponding to the patrol time units A11, A12, A13, A14, ..., AIM. A plurality of groups of the group, and the first-counter symbol group can be set as one of the object symbol groups B1, B2, ..., BN. The first round of inspection can obtain the object symbol group B1, and a second round of inspection
才《可獲得該對象符號組B2, 一第N輪巡檢可獲得該對象 符號組BN。 被巡檢對象可具有設備識別碼，被巡檢對象所對應 的對象符號可代表-賴次序朗碼，例如，對象符號 、、且B1所具有的該等份子幻9、§4〇、S41、S42、…、S80 可分別代表設備次序識別碼39、40、41、42 ..... 80，Only the object symbol group B2 can be obtained, and the object symbol group BN can be obtained by an Nth round of inspection. The object to be inspected may have a device identification code, and the object symbol corresponding to the object to be inspected may represent a sequence code, for example, an object symbol, and the equals of the object B1, §4〇, S41, S42, ..., S80 may respectively represent device order identification codes 39, 40, 41, 42 ..... 80,
且該等巡檢時間順位All、A12、A13、A14、…、AIM 可分別代表該等份子S39、S40、S41、S42.....S80的 複數‘示位置序號卜2、3、4、···、Μ，其中Μ為-自 對象符號組所具有的該等份子S40、S39、S41、 S〜NULL可分別代表設備次序識別碼40、39、 42、···、無識別碼’且該等巡檢時間順位AU、A12、 A13、A14、· A, S4i ··、A1M可分別代表該等份子S40、S39、 S42 "·、s—NULL的複數指示位置序號丨、2、3、 4、·.·、Μ。 ^輪巡檢時先訂出設備識別碼與設備次序識別 位於同—空間中的設備次序識別碼的數字盡量連 11 200951837 續。於-段時間内，依照該等巡檢時間物 A1 ^ λ \ λλ A1, _ , All、Al2、 4、···、AlM進行設備次序__^ _ 為系統學習之用。對於某，設備，• 隨 巡檢時間順位 All、Al2、Al3、Al4、...、Α ^等 且紀錄所對應的設備次序識別碼。 作、，、己錄 當記錄所巡檢的資料一段時間後，處理單元Wl中 可具有該N個·符號組B2、···、BN，每一And the patrol time ranks All, A12, A13, A14, ..., AIM can represent the plurals of the equal parts S39, S40, S41, S42.....S80 respectively, the position number is 2, 3, 4, ···,Μ, where the 等 is - the object S40, S39, S41, S~NULL from the object symbol group can represent the device order identification code 40, 39, 42, ..., no identification code respectively And the patrol time orders AU, A12, A13, A14, · A, S4i ··, A1M can respectively represent the plural number indication positions 丨, 2 of the equal parts S40, S39, S42 "·, s-NULL respectively. 3, 4, ···, Μ. ^When the round inspection, the equipment identification code and the equipment order identification are first set. The number of the equipment order identification code located in the same space is as large as possible. 11 200951837 Continued. During the period of time, the device order __^ _ is used for system learning according to the inspection time objects A1 ^ λ \ λλ A1, _ , All, Al2, 4, . . . , AlM. For a certain device, • the device order identification code corresponding to the inspection time, All, Al2, Al3, Al4, ..., Α^, etc., and record. After recording the data inspected for a period of time, the processing unit W1 may have the N symbol groups B2, . . . , BN, each
檢時間順位(如Al2)可對應於一對象符號 ^ (如S40、S39.....S40)。 硬数物于 $參閱第二圖，其為本案第—實施例所提巡檢管理 系統中具有相同位置指標的複數設備次序識別碼的示音 圖。如圖所示，巡檢時間順位AU(位置指標υ對應於: 對象符號組HI的複數份子S39、S40.....S39(具有相 同巡檢時間順位AU的設備次序識別碼39、4〇、…、弘）。 請參閱第三圖(a)，其為本案第一實施例所提巡檢管 =系統中各對象符號的出現個數的示意圖。如圖所示， 橫座標代表對象符號組VI的該等份子Sl、...、S39、S40、 S4l ' S42、…、S80(本圖僅列出對象符號sl〇_S5〇，設備 -人序識別碼1〇、…、39、40、41、42、...、80)，對象符 號組VI包括所感興趣的對象符號。縱座標代表『針對巡 檢時間順位All(位置指標I)所對應的對象符號組Hl， 該專份子 Sl〇、…、S39、S40、S4l、S42、…、S80 中 的各份子（如S39)出現於對象符號組HI的該等份子 S39、S40、…、S39中的出現個數』，曲線Fl為利用一 維尚斯混合模型（Gaussian Mixed Model)近似實際出現 12 200951837 個數的一條出現個數分佈曲線。 請參閱第三_)，其為本㈣ 理系統中利用-維高斯混人燈刑〜“”所挺巡檢e 山t目嫉㈣干音園 。模型刀析物各對象符號的 赫，橫賴代錢象符號組 、二刀、、座標為利用第三圖⑻的資料盘一維高 斯混合模型，所獲得該等份子si、·.·、S39、S40、S41、 =等=的各=:= 於該對象符號組 ❹ ❿ Λ4υ ' S41 ' S42 > ... > SRO Φ όί]The check time order (such as Al2) may correspond to an object symbol ^ (such as S40, S39.....S40). The hard object is referred to the second figure, which is a sound map of the plurality of device order identification codes having the same position index in the inspection management system of the present invention. As shown in the figure, the patrol time order AU (the position index υ corresponds to: the plural parts S39, S40.....S39 of the object symbol group HI (the device order identification code 39, 4 with the same patrol time order AU) Please refer to the third figure (a), which is a schematic diagram of the number of occurrences of each object symbol in the patrol tube in the first embodiment of the present case. As shown in the figure, the abscissa represents the object symbol. The elements S1, ..., S39, S40, S4l 'S42, ..., S80 of the group VI (this figure only lists the object symbol sl〇_S5〇, device-person sequence identification code 1〇, ..., 39, 40, 41, 42, ..., 80), the object symbol group VI includes the object symbol of interest. The ordinate represents "the object symbol group H1 corresponding to the inspection time sequence All (position index I), the special component The number of occurrences of the elements (such as S39) in Sl〇, ..., S39, S40, S4l, S42, ..., S80 appearing in the equal parts S39, S40, ..., S39 of the object symbol group HI, curve Fl In order to utilize the one-dimensional Gaussian Mixed Model, an apparent number distribution curve of 12 200951837 numbers is actually obtained. See Third _), which processing system utilizing the present iv - dimensional Gaussian mixture lamp punishment al ~ "" Inspection of the very Hill e t (iv) dry mesh jealous Park tone. The model knife is the symbol of each object, the symbol group, the second knife, and the coordinates are the one-dimensional Gaussian mixture model of the data disk of the third figure (8), and the elements si, ···, S39 are obtained. , S40, S41, =, etc. === in the object symbol group ❹ Λ Λ4υ ' S41 ' S42 > ... > SRO Φ όί]
St權:線81、8"3為高斯分佈曲線，曲線_ 為具有加祕Wi的高斯分佈⑽，轉F2為將Wlgl、 W2g2、W3g3相加的結果，以近似第三_中的曲線F1， =3 Γ上對應於曲線F1的出現機率分佈曲線。相 :=，檢時間順位(“14)所對應的出現 請參閱第四圖，其為本案第—實施例所提巡檢管理 系統中各對象符號出現於各巡檢時間順位的出現機率的 不意圖。如圖所示，對象符號組VI可包括，例如，全部 的設備次序識別碼1、…、39、40、41、…、80,且全部 的設備次序識別碼的總量為N。該等巡檢時間順位An、 A12、A13、A14、...、A1M的總量為Μ，出現機率矩陣 F(N，M)為㈣高_麵型分析後哺得㈣現機率資 料’其中？代表機率。對象符號S39出現於巡檢時間順 位W的出_率P61的值為⑽，對象符號_出現 於巡檢時間順位A12的出現機率P72的值為Q 12，對象 符號S41出現於巡檢時間順位A13的出現機率p83的值 13 200951837 為 0.09。 隨時間的改變’巡檢的總輪數與該等對象符號組 Bl、B2、…、BN的數量跟著改變。在此情況下，利用 自適應高斯混合模型(Adaptive GMM)，可使出現機率矩 陣F(N，M)隨時間動態改變。 請參閱第五圖，其為本案第一實施例所提巡檢管理 系統中利用學習完成出現機率矩陣的流程示意圖。如圖 所示，在步驟502中，第一輪巡檢時先訂出設備識別碼 ❹ 與設備次序識別碼，讓位在同一空間中的設備次序識別 碼的數字盡量連續。在步驟504中，記錄每種設備每輪 巡檢的時間順位與其對應的設備次序識別碼。 在步驟506中，記錄一段時間，取得多筆資料，讓 每個時間順位上有多個設備次序識別碼。在步驟5〇8中， 對母個時間順位上的多個設備次序識別碼，利用一維高 斯混合模型，找出每個次序識別碼的出現機率。在步驟 51〇中，完成出現機率矩陣F(N，M)，其中N代表設備次 ❹ 序識別碼總量，Μ代表時間順位總量，F代表機率。 晴參閱第六®與第四圖’第六圖為本案第—實施例 所提巡檢管理祕中提示使用者下—個巡查設備的流程 示意圖。如圖所示，在步驟6〇2中’在查詢某一設備次 序識別碼所對應設備的辆，該設備次賴別碼所對應 的時間順位為m ’例如為m=1。在步驟6〇4巾，設定一 設備次序識別碼出現的—臨界出現機率β，例如β=〇 ι。 在步驟6〇6中，找出時間順位為祕的狀態下，所有設 備次序識別碼的複數_位出現機率F(n,m+1)，例如出 200951837 現機率矩陣F(N，M)中的—橫行出現機率向量的複數份 子，其中n代表對象符號組VI的每一該份子的一編號。 在步驟608中，列出該等同順位出現機率F(n，m+1) 中出現機率大於臨界出現機率β的所有設備次序識別 碼。例如’在m=1時’同屬對應於巡檢時間順位Α12的 該等同順位出現機率F(n,2)中的出現機率p72是〇 12， 且P72 > β=〇.ΐ，故符合的設備次序識別碼包括4(^在 步驟610中，以畫面或語音方式提示使用者該符合的設 參 備次序識別碼所對應的設備名稱與設備位置。 請參閱第七圖與第四圖，第七圖為本案第一實施例 所提巡檢管理系統中處理巡檢到位確認的配置示意圖。 如圖所示，配置D1包括該等巡檢時間順位a11、a12、 A13 ' A14、…、A1M、所要確認是否到位巡檢的對象符 號組(如B1)、所要確認對象符號組的同輪出現機率組 Q(K，m)、一臨界出現機率組^(κ^)與一比較結果值組 r(K，m)。 、 ❹ 根據第四圖的出現機率矩陣F(N，M)與所要確認的對 象符號組(如B1)’可獲得同輪出現機率組Q(K,m)，例如， 同輪出現機率組Q(K，m)中的一同輪出現機率Q(K，1)= P61=0.10(巡檢時間順位A11對應於對象符號組Bl的份 子S39’且對象符號組VI的份子S39出現於巡檢時間順 位All的出現機率P61為〇.1〇)，一同輪出現機率q(k，2)= P73=0_12’ 一同輪出現機率（^作挪二❶啊巡檢時間 順位A13對應於對象符號組m的份子S41，且對象符號 組VI的份子S41出現於巡檢時間順位A13的出現機率 200951837 i為0.09)。利用一臨界出現機率fa，例如fa=0.05，可 獲得臨界出現機率組fl(K,m)，其巾臨界出現機率級 fl(K，T)可為對應於同輪出現機率組Q(K,m)的一出現機 率向夏。利用關係式Q(K,m)< fl(K，m) ’可獲得比較結果 值組=K，m)。根據比較結果值組r(K，m) ’可確認第κ輪 巡檢2否到位，例如，攸亦驅㈣為真的總數尺為 1〇，若R/M>恕限值，則第κ輪巡檢被判斷為未到位， 其中Μ代表時間順位總量。St weight: line 81, 8 " 3 is a Gaussian distribution curve, curve _ is a Gaussian distribution with a secret Wi (10), and F2 is the result of adding Wlgl, W2g2, W3g3 to approximate the curve F1 in the third _, =3 Γ corresponds to the probability distribution curve of the curve F1. Phase: =, the time corresponding to the detection time ("14), please refer to the fourth picture, which is the probability of occurrence of each object symbol appearing in each inspection time in the inspection management system mentioned in the first embodiment of the present invention. Intention As shown, the object symbol group VI may include, for example, all device order identification codes 1, ..., 39, 40, 41, ..., 80, and the total amount of all device order identification codes is N. The total amount of inspection time, An, A12, A13, A14, ..., A1M is Μ, the probability matrix F(N, M) appears as (4) high _ face analysis and then (four) current probability data 'where? The probability that the object symbol S39 appears in the inspection time sequence W is the value of (10), the object symbol _ appears in the inspection time order A12, the probability of occurrence P72 is Q 12, and the object symbol S41 appears in the inspection. The value of the occurrence probability p83 of the time sequence A13 is 139 200951837 is 0.09. The change of the total number of rounds of the inspections with the number of the object symbol groups Bl, B2, ..., BN changes with time. In this case, the use of self Adapting to the Gaussian Mixing Model (Adaptive GMM), the probability matrix F(N, M) Dynamically change with time. Please refer to the fifth figure, which is a schematic diagram of the process of using the learning completion probability matrix in the inspection management system of the first embodiment of the present invention. As shown in the figure, in the first round of the step 502 When the inspection is performed, the device identification code ❹ and the device order identification code are first set, so that the numbers of the device order identification codes in the same space are as continuous as possible. In step 504, the time order of each round of inspections of each device is recorded and corresponding thereto. The device order identification code is recorded in step 506. A plurality of pieces of data are acquired for a period of time, so that there are multiple device order identification codes in each time order. In step 5〇8, multiple times on the parent time are in sequence. The device order identification code uses a one-dimensional Gaussian mixture model to find the probability of occurrence of each order identification code. In step 51, the occurrence probability matrix F(N, M) is completed, where N represents the device secondary sequence identification code. Quantity, Μ represents the total amount of time, and F represents the probability. Clearly refer to the sixth and fourth figures, 'the sixth picture is the first part of the case. The patrol management secret mentioned in the example prompts the user to go under a patrol device. Schematic diagram, as shown in the figure, in step 6〇2, 'in the inquiry of a device corresponding to a device order identification code, the time sequence corresponding to the device's secondary code is m', for example, m=1. Step 6〇4 towel, set a device order identification code to appear—the critical probability of occurrence β, for example, β=〇ι. In step 6〇6, find the plural of all device order identification codes in the state in which the time order is secret. The _ bit appears as a probability F(n, m+1), for example, in the 200951837 current probability matrix F(N,M) - the plural of the continuation probability vector, where n represents one of each of the object symbol groups VI Numbering. In step 608, all device order identification codes in which the probability of occurrence of the equivalent order occurrence F(n, m+1) is greater than the critical occurrence probability β is listed. For example, 'when m=1', the occurrence probability p72 in the equivalent occurrence probability F(n, 2) corresponding to the inspection time order Α12 is 〇12, and P72 > β=〇.ΐ, so The device order identifier includes 4 (in step 610, the user name and the device location corresponding to the configured parameter identification code are prompted by the user in a screen or voice manner. Please refer to the seventh and fourth figures, The seventh figure is a schematic diagram of the configuration of the patrol check in place in the patrol management system of the first embodiment of the present invention. As shown in the figure, the configuration D1 includes the patrol time orders a11, a12, A13 'A14, ..., A1M. The object symbol group (such as B1) to be confirmed in the inspection, the same-round probability group Q(K, m) of the object symbol group to be confirmed, a critical probability group ^(κ^), and a comparison result value group. r(K,m)., ❹ According to the occurrence probability matrix F(N,M) of the fourth figure and the object symbol group (such as B1) to be confirmed, the same-round probability group Q(K,m) can be obtained, for example , the probability of occurrence of the same wheel in the same-round probability group Q (K, m) Q (K, 1) = P61 = 0.10 (corresponding to the inspection time order A11 The probability S61 of the object symbol group B1 and the object S39 of the object symbol group VI appearing at the inspection time order All is P.1〇), and the probability of occurrence of the same round q(k, 2) = P73=0_12' The probability of occurrence of the same round (^ 挪 ❶ ❶ 巡 巡 时间 巡 A A A A A A 对应 对应 对应 对应 对应 对应 对应 对应 对应 对应 对应 对应 对应 对应 对应 对应 对应 对应 对应 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 Using a critical probability of occurrence fa, such as fa=0.05, a critical probability probability group fl(K, m) can be obtained, and the critical probability occurrence level fl(K, T) of the towel can be corresponding to the same-round occurrence probability group Q(K, The probability of occurrence of m) is in the summer. The comparison result value group = K, m) can be obtained by using the relation Q(K, m) < fl(K, m) '. According to the comparison result value group r(K,m) ', it can be confirmed that the κ round inspection 2 is in place. For example, the total scale of the 攸 驱 (4) is 1 〇, and if the R/M ≥ limits, the κ The round inspection is judged as not being in place, where Μ represents the total amount of time.
言月參閱第八圖，其為本案第一實施例所提巡檢管理 系統中確認-輪巡檢是否到位誠㈣意圖。如圖所 示’在步驟702巾’紀錄各⑽該輪巡檢的各時間順位 與其對應的各設備次序識別碼。在步驟704中，設定每 一該設備次序識別·_各臨界出現機率fa,開始時 間順位m=l ’總數R=〇。在步驟篇中，找出在^每一 該時間順位時’每—該設備次序識別碼的各同輪出現機 率Q。在步驟708中，若Q<fa^R++。在步驟71〇中， 若m< Μ為真’則回到步驟7〇6 ’若m<M為假，則進入 步驟712。在步驟71〇中，計算職，若職〉恕限值， 則該輪巡檢被躺為未到位，射％代表時_位總量。 在重要參數㈣㈣備m料壓、出水流量 或幫浦運轉電流的監測方面，針對監測的短期變動 種下狀^’採用不同的統計方法找出短 期與長期的預警上下限值，若超過該上 警，告知有異常狀況發生’讓人員針 找出原因，達到預知保養目的。 mi及早 16 200951837 參閱第九圖，其為本案第-實施例所提巡檢管理 =期，預警上下限值分析的示意圖如“ 所對應的-特定被巡檢辦象的一夫二十”° S34) 該參數可為-_參_—化學麵料’其中 按=等第-巡檢所對應的複數巡檢時間=ΓReferring to the eighth figure, it is the intention of the patrol management system mentioned in the first embodiment of the case to confirm whether the round inspection is in place (4). As shown in the figure, at step 702, each of the (10) time intervals of the round of inspections is recorded with each device order identification code corresponding thereto. In step 704, each of the device order identifications _ each critical occurrence probability fa is set, and the start time order m = l 'the total number R = 〇. In the step, it is found that each of the same order occurrence probability Q of each device order identification code is used. In step 708, if Q<fa^R++. In step 71, if m < Μ is true ' then return to step 7 〇 6 ' If m < M is false, then step 712 is entered. In step 71, in the calculation of the job, if the job is limited to the limit, then the round of inspection is lying as not in place, and the shot % represents the total amount of _ bits. In the important parameters (4) (4) for the monitoring of the m material pressure, the water flow rate or the pump operating current, the short-term fluctuations of the monitoring are used to determine the short-term and long-term warning upper and lower limits. The police informed that there was an abnormal situation. 'Let the personnel pin find out the cause and achieve the purpose of predictive maintenance. Mi and early 16 200951837 Refer to the ninth figure, which is the inspection management period of the first-embodiment of the case, and the schematic diagram of the analysis of the upper and lower limits of the early warning is as follows: “corresponding to the specific inspection of the office of the husband and wife” This parameter can be -_ _ _ - chemical fabric 'where press = equal - the corresponding inspection time corresponding to the inspection = Γ
❷ 取 X -3 即時^段時間(如巡檢時間Τ5至巡檢時間Τ6)的監測值 料，例如’選取複數鄰近連續樣本，利用適應性 一維鬲斯混合模式找出即時平均值尤 辦為正常分佈，訂出…為預 J為預警值下限SWL ’若是監測值超過 ，告。由於是採適應性高斯混合模式，故平均= 標準差σ會隨著新的監測值不斷變動調整。 ^請參閱第十圖，其為本案第一實施例所提巡檢管理 系統中長期變動預警上下限值分析的示意圖。如圖所 示，量值資料Ε1隨巡檢時間變動，取系統開始的前3個 月時間(如巡檢時間Τ1至巡檢時間Τ2)連續樣本的資料平 均值做為起始平均值义〇。獲得法規要求的上限Η，法規 要求的下限L’且計算長期趨勢預警的上下限值，例如， 長期預警值上限LWu= a*H+ (l-a)*i Q，長期預警值下限 LWl= a*L+ (l-a)*iG ’ a= 〇·5〜〇 75，若是監測值超過此 預警值範圍則發出警告。 請參閱第十一圖，其為本案第二實施例所提巡檢管 理系統的示意圖。第十一圖的巡檢管理系統92的架構與 第一圖的巡檢管理系統91的架構相似。如十一圖所示， 17 200951837 巡檢管理系統92包括一處理单元"W2。處理單元W2設 置如第一圖的複數巡檢時間順位All、Α12、Α13、 Α14.....AIM、複數對象符號組 .....BN，處 理單元W2另外設置一對象符號組Cl，對象符號組C1 包括複數份子S39、S41、S40、S42、…、S_NULL，其 中份子S—NULL代表一空符號。對象符號組ci的該等 份子S39、S41、S40、S42.....S_NULL分別對應於該 等巡檢時間順位All、A12、A13、A14、…、AlM。 Ο ❹ 處理單元W2經由統計地分析該等對象符號組Bi、 B2、…、BN 的複數份子 S39、S40、S4卜 S42、...、％0、 S40、S39、S41、S42、…、S_NULL.....S39、S40、 S42 > S_NULL.....S80與對象符號組C1的該等份子 S39、S41、S40、S42、…、S一NULL，決定對象符號組 C1的各份子(如S41)出現於各巡檢時間順位(如Al2)的各 同輪出現機率(如Q(C1，2)) ’且根據每—該同輪出現機率 (如 Q(CU)、Q(C1，2)、Q(C1，3)、q(c1，4)、…等），確認 -輪巡檢是否到位，其中該等對象符號組m、B2、…、 BN中的各對象符號組(如B2)的複數份子(如s4()、,、 S41 S42 ' ' S__NULL)分卿應_等巡檢時間順位监测 Take X-3 monitoring time value (such as inspection time Τ5 to inspection time Τ6), such as 'select multiple adjacent continuous samples, use adaptive one-dimensional muse mixed mode to find the instantaneous average. For the normal distribution, set out ... for the pre-J as the warning value lower limit SWL 'if the monitoring value exceeds, sue. Since the adaptive Gaussian mixture mode is adopted, the average = standard deviation σ will be adjusted as the new monitoring value is constantly changing. ^Please refer to the tenth figure, which is a schematic diagram of the analysis of the upper and lower limit values of the long-term change warning in the inspection management system proposed in the first embodiment of the present invention. As shown in the figure, the quantity data Ε1 varies with the inspection time, and the average value of the continuous sample is taken as the starting average for the first 3 months of the system (such as inspection time Τ1 to inspection time Τ2). . Obtain the upper limit required by the regulations, the lower limit L' required by the regulations and calculate the upper and lower limits of the long-term trend warning. For example, the upper limit of the long-term warning value LWu= a*H+ (la)*i Q, the lower limit of the long-term warning value LWl= a*L+ (la)*iG ' a= 〇·5~〇75, if the monitored value exceeds the range of this warning value, a warning is issued. Please refer to FIG. 11 , which is a schematic diagram of the inspection management system of the second embodiment of the present invention. The architecture of the inspection management system 92 of the eleventh diagram is similar to the architecture of the inspection management system 91 of the first diagram. As shown in FIG. 11, 17 200951837 The inspection management system 92 includes a processing unit "W2. The processing unit W2 is provided with a plurality of patrol time units All, Α12, Α13, Α14.....AIM, a plurality of object symbol groups.....BN, and the processing unit W2 additionally sets an object symbol group C1. The object symbol group C1 includes a plurality of parts S39, S41, S40, S42, ..., S_NULL, where the part S_NULL represents an empty symbol. The elements S39, S41, S40, S42, ..., S_NULL of the object symbol group ci correspond to the patrol time units All, A12, A13, A14, ..., AlM, respectively. Ο ❹ Processing unit W2 statistically analyzes the plural parts S39, S40, S4, S42, ..., %0, S40, S39, S41, S42, ..., S_NULL of the object symbol groups Bi, B2, ..., BN .....S39, S40, S42 > S_NULL.....S80 and the equal parts S39, S41, S40, S42, ..., S of the object symbol group C1 are NULL, and the elements of the object symbol group C1 are determined. (such as S41) occurs in each of the inspection time order (such as Al2) in the same round occurrence probability (such as Q (C1, 2)) ' and according to each - the same round occurrence probability (such as Q (CU), Q (C1 , 2), Q(C1, 3), q(c1, 4), ..., etc., confirm whether the round inspection is in place, wherein each object symbol group in the object symbol groups m, B2, ..., BN ( Such as B2) of the plural (such as s4 (),,, S41 S42 ' ' S__NULL) points should be _ and other inspection time
All ' .....AIM ’ 且對象符號組 C1 由 該輪巡檢產生。 請參閱第十—圖’其為本案第三實施例所提巡檢管 理ί統的示4圖_。如_示，巡檢管理祕93包括-處 ，早二W3與貞料庫單元德。資料庫單元徽耦合於 處理早兀W3 ’記錄該等巡檢時間順位au、心、八13、 200951837All ' .....AIM ’ and the object symbol group C1 is generated by this round of inspection. Please refer to the tenth-figure diagram of the inspection management of the third embodiment of the present invention. Such as _ shows, inspection management secret 93 includes - at the office, the second two W3 and the database unit de. The database unit emblem is coupled to the processing early W3 ’ record of the patrol time order au, heart, eight 13, 200951837
A14、…、A1M與該等對象符號組m、B2、…、bn。 資料庫單tcWA包括一表格WA1，且資料庫單元_記 錄該等巡檢時間順位A1卜A12、A13、A14.....AIM 與該等對象符號組m、B2、…、BN至表格WA1中。A14, ..., A1M and the object symbol groups m, B2, ..., bn. The database list tcWA includes a table WA1, and the database unit_records the inspection time ranks A1, A12, A13, A14.....AIM and the object symbol groups m, B2, ..., BN to the table WA1 in.
處理單元W3包括-作業鋪單元㈣、—行動巡 檢裝置W32與-巡檢人員W33。作業控制單元㈣輛 合於資料庫單元WA，控制資料庫單it WA，且利用-巡 檢工作排鋪組W311雜—巡檢•表，其中該巡檢 排程表包括分_應於料巡__位Ali、ai2、 A13 A14、…、AIM的一所安排對象符號組的複數份子 與，應於該所安排對象符號組的—組查核内容。作業控 制單元W31自動發㈣巡㈣縣給行動巡檢裝置W32 與巡檢人員W33。 ,行動巡檢裝置W32可包括—個人數位助理(pDA)， 行動巡檢裝置W32賴合於作業控制單元則，下載該巡 檢排程表與_㈣㈣號所龍的—較查核内容， 其中該特定查核内容為該組查核内容的其中之—。巡檢 ^員W33配合行動巡檢裝置W32，且㈣該巡檢排程 實施輪巡檢。巡檢人員W33在—特定巡檢時間順 如。A12)所對應的—巡檢時間，可巡檢對應於一實際對 (如S39)的—實際被巡檢對象，且獲得該實際被巡 檢對象的一參數的—量值。 二動巡檢裝置WS2記錄該實際對象符號(如聊)與 = 的該罝值，且提供該特定巡檢時間順位(如M2)、 ^際對象符號(如S39)與該參數的該量值給作業控制 19 200951837 單元W31。作業控制單元W31提供該特定巡檢時間順位 (如A12)、該實際對象符號(如S39)與該參數的該量值給 資料庫單元WA，且控制該資料庫單元WA記錄該特定 巡檢時間順位(如A12)、該實際對象符號(如S39)與該參 數的該量值。The processing unit W3 includes a work shop unit (4), an action check device W32, and a patrol person W33. The operation control unit (4) is combined with the database unit WA, the control database single IT WA, and the use-patrol inspection work group W311 miscellaneous-patrol inspection table, wherein the inspection schedule includes points _ should be inspected The __ bits Ali, ai2, A13 A14, ..., AIM of a plurality of arranged object symbol groups and should be checked in the group of the arranged object symbol group. The operation control unit W31 automatically sends (four) the patrol (four) county to the action patrol device W32 and the patrol personnel W33. The action inspection device W32 may include a personal digital assistant (pDA), and the action inspection device W32 is adapted to the operation control unit, and downloads the inspection schedule table and the _(4) (4) number of the dragon-checking contents, wherein the The specific check content is one of the contents of the group check. The inspection staff W33 cooperates with the action inspection device W32, and (4) the inspection schedule implements the round inspection. The inspector W33 is in the same time as the specific inspection time. A12) corresponding to the inspection time, it is possible to patrol the actual object to be inspected corresponding to an actual pair (such as S39), and obtain the value of a parameter of the actually inspected object. The second motion inspection device WS2 records the value of the actual object symbol (such as chat) and =, and provides the specific inspection time order (such as M2), the inter-object symbol (such as S39) and the magnitude of the parameter. Give job control 19 200951837 unit W31. The job control unit W31 provides the specific inspection time order (such as A12), the actual object symbol (such as S39) and the magnitude of the parameter to the database unit WA, and controls the database unit WA to record the specific inspection time. The order (such as A12), the actual object symbol (such as S39) and the magnitude of the parameter.
特定巡檢時間順位(如A12)可對應於一特定被巡檢 對象(如S39)，巡檢人員W33可根據該特定查核内容， 巡檢該特定對象符號(如S39)所對應的一特定被巡檢對 象，且記錄一巡檢結果於行動巡檢裝置W32中。行動巡 檢裝置W32挺供該巡檢結果給作業控制單元，作業 控制單το W31 _該巡檢結果，崎查核結果簽核、缺 失與f要朗參數料分析、缺失追蹤、餘表製作。 〜第十二圖⑷’其為本案第四實補所提巡檢 意圖。如圖所示，巡檢管理系統94包括-資料庫系統W61、耦合於資料庫系統W61的一管理 合:資料庫系統職的廠區A或公司A的客： 端k檢軟體W7卜耦合於資料庫系 司B的客戶端巡檢軟 1的廠£ B或公 的肝、《<純… 輕合於客戶端軟體簡 的=巡㈣Ut者、私於客 巡檢執行者购、和麵合於管 ^ W72f物 ，1、主管者W92與改善者勝；;：=理者 管者W92與改善去^ J ^ s理者W9卜主 置。現場巡袷勃/ 匕工制管理平台W62的裝 行者W82包括手持智 巡檢管理系統94將設備巡檢_知保私所有流程 20 200951837 2'巡檢結果_、查核結果 簽核、缺失統計分析與追蹤、報表製作等工作。 *理：ί ’在營理平台W62上設定巡查工作排程，之後 台W62會自動糾排打單給巡檢人貝，巡檢人 排程=+2慧裝置(如PDA)下载某時程階段之工作 的巡檢i查i。’#it行現場 ❹ m 備週期性檢查順序進二 === _於每個順位時的出 ：字：找出母個 3斷使用T_現機率亦可即:=二 賴設:：：，查設備的名稱與位置’以提升 中上，有查詢紀錄資料從手持智慧裝置 結果簽枝、缺I 62 ’之後在管理平台·2進行查核 報表製fi等重要監測參數統計分析、缺失追蹤、 量的監測方面在重要參數域水系統水壓或出水流 析兩:狀輯採用^監測的短期變動分析與長期趨勢分 預員針對異常狀況能及早找出原因，達到 管理圖’其為本案第四實施例所提巡檢 :括=驟圖。如圖所示，巡檢管理方法 編輯806 Γ吕 資料建立δ〇2、礙別編輯804、系統 設備編輯奶#限編輯⑽8、區域編輯_、設備類型/ 〇 查核項目編輯814、查核表單編輯816、 200951837 基本資料完成818、排程設定820、PDA更新排程(下 載)822、個人數位助理(PDA)巡檢824、巡檢到位提示 826、PDA擷取排程(上傳)828、不合格檢查83〇、不合格 通報832、排程完成檢查834、檢視/編輯巡檢結果836、 警戒值趨勢統計838、巡檢到位確認84〇、工程師審核 842、主管審核844與報表列印846。 請參閱第一圖以說明本案所提一巡檢管理方法，該 方法包括下列步驟：設置複數巡檢時間順位Au、Al2、The specific inspection time sequence (such as A12) may correspond to a specific inspected object (such as S39), and the inspector W33 may inspect a specific object corresponding to the specific object symbol (such as S39) according to the specific checking content. The inspection object is recorded, and a inspection result is recorded in the action inspection device W32. The action inspection device W32 provides the inspection result to the operation control unit, the operation control sheet το W31 _ the inspection result, the check of the nuclear check result, the missing and the parameter analysis, the missing trace, and the remainder table. ~ Twelfth Figure (4)' is the inspection intention of the fourth actual supplement of the case. As shown in the figure, the inspection management system 94 includes a database system W61, a management unit coupled to the database system W61: a database A or a company A of the database system: the end k software W7 is coupled to the data The client of the library department B patrols the soft 1 factory £ B or the public liver, "< pure... lightly matches the client software simplification = patrol (four) Ut, private patrol executor purchase, and face In the tube ^ W72f, 1, the supervisor W92 and the improvement win;;: = the governor W92 and improved to ^ J ^ s governor W9 Bu main. The W82 of the on-site patrol/manufacturing management platform W62 includes the hand-held intelligent inspection management system 94. The equipment inspection _ 知保私私流程20 200951837 2' inspection results _, check results signing, missing statistical analysis Work with tracking, report making, and more. * Reason: ί 'Set the inspection schedule on the W62 of the management platform. After that, the W62 will automatically arrange the order to the inspection person. The inspection person schedule = +2 Hui device (such as PDA) to download a certain time schedule The inspection of the work of the stage i check i. '#it行现场❹ m Prepare the periodic inspection sequence into the second === _ at the time of each order: Word: find the mother 3 break using T_ the current probability can also be: = two depends on::: , check the name and location of the equipment to improve the middle and upper, there are query records data from the handheld smart device results, the lack of I 62 ' after the management platform · 2 check the report system fi and other important monitoring parameters statistical analysis, missing tracking, The amount of monitoring in the important parameter domain water system water pressure or effluent flow analysis two: the use of the monitoring of short-term fluctuation analysis and long-term trend of the pre-experts can identify the cause of the abnormal situation, to achieve the management map 'it is the case The inspections mentioned in the four embodiments: including = diagram. As shown in the figure, the inspection management method edits 806 Γ 资料 建立 建立 〇 碍 碍 碍 碍 碍 碍 碍 碍 、 、 804 804 804 804 804 804 804 804 804 804 *** *** *** *** *** *** *** 、 、 、 、 、 区域 区域 区域 区域 区域 区域 区域 区域 区域 区域, 200951837 Basic data completion 818, scheduling setting 820, PDA update scheduling (download) 822, personal digital assistant (PDA) inspection 824, inspection in place prompt 826, PDA capture scheduling (upload) 828, unqualified inspection 83〇, unqualified notification 832, scheduled completion check 834, inspection/editing inspection result 836, warning value trend statistics 838, inspection in place confirmation 84〇, engineer review 842, supervisor review 844 and report printing 846. Please refer to the first figure to illustrate a patrol management method proposed in the present case. The method includes the following steps: setting a plurality of patrol time orders Au, Al2
❹ A13、A14、…、A1M、複數第一對象符號組B1、B2、…、 BN與-第二對象符號組v卜其中各第一對象符號組的 複數份子分別對應於該等巡檢時間順位A11、A12、Ai3、 AH.....A1M ;利用統計地分析該等第-對象符號组 B1、B2、…、BN的複數份子，決定該第二對象符號組 VI的各份子(如S39)出現於各巡檢時間順位(如An)的各 出現機率(如P61);及’根據每一該出現機率(如m、 P72、P83、…等）’提示—特定巡檢時間順位(如A12)所 對應的-特定對象㈣(如叫其讀特定巡檢時間順 位（如AU)為該等巡檢時間順位Au、Μ〗、、 A14、…、AIM的其中之一，B 壯6 t 出現於該等第一對象符號組B1 3疋對象符號(如：〇) ? .......BN的該等份 子中與該第二對象符號級V1的複數份子中。 —^本案所提1檢管理方法， 下列步驟：設置複數巡檢時間順位AU、 ==4TA1M、複數第-對象符號組Bi、 ”一第一對象符號組Cl，其中各第一對象 22 200951837 符號組的複數份子與該第二對象符號組ci的複數份子 皆分別對應於該等巡檢時間順位All、A12、A13、 .......;經由統計地分析該等第一對象符號組 B1>B2.......的複數份子與該第二對象符號組Cl的 該等份子，決定該第二對象符號組C1的各份子(如S41) 出現於各巡檢時間順位All、A12、A13、A14、…、AIM 的各同輪出現機率(如Q(C1，2));及，根據每一該同輪出 現機率(如 Q(C1，1)、Q(C1，2)、Q(C1，3)、Q(C1，4)、…等）， 0 確認一輪巡檢是否到位，其中該第二對象符號組Cl由該 輪巡檢產生。 綜上所述，本案之巡檢管理系統及方法確實能達到 發明構想所設定的功效。唯，以上所述者僅為本案之較 佳實施例’舉凡熟悉本案技藝之人士，在爰依本案精神 所作之等效修飾或變化，皆應涵蓋於以下之申請專利範 圍内。 【圖式簡單說明】 本案得藉由下列圖式之詳細說明，俾得更深入之瞭 解： 第一圖：本案第一實施例所提巡檢管理系統的示意圖； 第二圖：本案第一實施例所提巡檢管理系統中具有相同 位置指標的複數設備次序識別碼的示意圖； 第三圖(a):本案第一實施例所提巡檢管理系統中各對象 符號的出現個數的示意圖； 第三圖(b):本案第一實施例所提巡檢管理系統中利用一 23 200951837 維尚斯混合模型分析各對象符制出現機麵 第四圖：本案第一實施例所提巡檢管理系統令各對令 號出現於各巡檢時間順位的出現機率的示意圖；^ ，五圖··本案第—實施例所提巡檢管理系統中利用學習 70成出現機率矩陣的流程示意圖； 第八圖·本案第一實施例所提巡檢管理系統中提示使用 者下一個巡查設備的流程示意圖； 第七圖：本案第一實施例所提巡檢管理系統中處理巡檢 © 到位確認的配置示意圖； 第八圖：本案第一實施例所提巡檢管理系統中確認一輪 巡檢是否到位的流程示意圖； 第九圖：本案第一實施例所提巡檢管理系統中短期變動 預警上下限值分析的示意圖； 第十圖.本案第一實施例所提巡檢管理系統中長期變動 預警上下限值分析的示意圖； 第十一圖：本案第二實施例所提巡檢管理系統的示意 ❹ 圖； 第十二圖：本案第三實施例所提巡檢管理系統的示意 園· 圃， 第十三圖（a):本案第四實施例所提巡檢管理系統的示意 圖；及 第十三圖(b):本案第四實施例所提巡檢管理方法的作業 流程示意圖。 【主要元件符號說明】 24 200951837 91、92、93、94 :巡檢管理系統 Wl、W2、W3 :處理單元 All、A12、A13、A14、AIM :巡檢時間順位 Bl、B2、BN、Cl、m、VI :對象符號組 S卜 S39、S40、S41、S42、S80、S_NULL :對象符號 F1 :出現個數的分佈曲線 F2 :出現機率的分佈曲線 gi、g2、g3 :高斯分佈曲線 ❹ F(N,M):出現機率矩陣 N:設備次序識別碼總量 Μ:時間順位總量 Ρ61、Ρ72、Ρ83 :出現機率 F(n,2):複數同順位出現機率 Q(K，m):同輪出現機率組 Q(K,1)、Q(K,2)、Q(K,3):同輪出現機率 Q(C1,1)、Q(C1,2)、Q(C1，3)、Q(C1，4):同輪出現機率 φ fl(K,m):臨界出現機率組 r(K,m):比較結果值組 f2、fa :臨界出現機率 D1 :配置 R :總數 ΤΙ、T2、T3、T4、T5、T6 :巡檢時間 El、E2 :量值資料 义〇 :起始平均值女〇 i :平均值 25 200951837 σ :標準差 SWu、LWu :預警值上限 SWL、LWl :預警值下限 Η:法規上限 L:法規下限 WA :資料庫單元 WA1 :表格 W31 :作業控制單元 W311 :巡檢工作排程模組 W32 :行動巡檢裝置 W33 :巡檢人員 W61 :資料庫系統 W62 :管理平台 W71、W72 :客戶端巡檢軟體 W81、W82 :巡檢執行者 W91 :管理者 W92 :主管者 W93 :改善者 26❹ A13, A14, ..., A1M, plural first object symbol groups B1, B2, ..., BN and - second object symbol group v, wherein the plurality of first object symbol groups respectively correspond to the patrol time ranks A11, A12, Ai3, AH.....A1M; statistically analyzing the plural components of the first-object symbol groups B1, B2, ..., BN to determine the components of the second object symbol group VI (such as S39) ) the probability of occurrence of each inspection time (such as An) (such as P61); and 'according to each occurrence probability (such as m, P72, P83, ..., etc.) 'prompt - specific inspection time order (such as A12) corresponds to the specific object (4) (such as calling it to read a specific inspection time order (such as AU) for one of the inspection time orders Au, Μ〗, A14, ..., AIM, B Zhuang 6 t Appearing in the first object symbol group B1 3 疋 object symbol (eg: 〇) ? . . BN in the plural of the second object symbol level V1. To provide a check management method, the following steps: setting a complex inspection time order AU, == 4TA1M, a complex number-object symbol group Bi, and a first object symbol group Cl, Each of the first object 22 200951837 symbol group and the second object symbol group ci are respectively corresponding to the patrol time units All, A12, A13, . . .; Analyzing the plural components of the first object symbol group B1 > B2, . . . and the aliquot of the second object symbol group C1, determining that each of the second object symbol group C1 (such as S41) appears The probability of occurrence of each of the same rounds of All, A12, A13, A14, ..., AIM in each inspection time (such as Q (C1, 2)); and, according to the probability of occurrence of each of the same round (such as Q (C1, 1) ), Q(C1, 2), Q(C1, 3), Q(C1, 4), ..., etc.), 0 confirms whether a round of inspection is in place, wherein the second object symbol group C1 is generated by the round of inspection. In summary, the inspection management system and method of this case can indeed achieve the effect set by the invention concept. However, the above is only the preferred embodiment of the case. Equivalent modifications or changes made shall be covered in the scope of the following patent application. [Simplified description of the drawings] The case may be obtained by the following drawings. For a detailed explanation, we will get a deeper understanding: The first picture: the schematic diagram of the inspection management system mentioned in the first embodiment of the case; The second picture: the same position indicator in the inspection management system mentioned in the first embodiment of the case Schematic diagram of a plurality of device order identification codes; FIG. 3(a) is a schematic diagram showing the number of occurrences of each object symbol in the inspection management system of the first embodiment of the present invention; FIG. 3(b): The first embodiment of the present invention In the inspection management system, a 23 200951837 Wessian hybrid model is used to analyze the appearance of each object. The fourth inspection of the system is as follows: The inspection management system proposed in the first embodiment of the case makes each pair of orders appear in each inspection time. Schematic diagram of the probability of occurrence; ^, five diagrams · The first part of the case - the schematic diagram of the probability of using the 70% probability matrix in the inspection management system mentioned in the example; The eighth diagram · The inspection management system proposed in the first embodiment of the present case A schematic diagram of the process of prompting the user to patrol the next patrol device; Figure 7: Schematic diagram of the configuration of processing patrol inspection in place in the patrol management system of the first embodiment of the present invention; A schematic diagram of a flow of confirming whether a round of inspections is in place in a patrol management system according to an embodiment; FIG. 9 is a schematic diagram of analysis of upper and lower limit values of short-term fluctuation early warnings of the patrol management system proposed in the first embodiment of the present invention; The schematic diagram of the analysis of the upper and lower limits of the long-term change warning in the inspection management system proposed in the first embodiment of the present invention; the eleventh figure: the schematic diagram of the inspection management system proposed in the second embodiment of the present invention; The schematic diagram of the inspection management system mentioned in the third embodiment, Fig. 13 (a): schematic diagram of the inspection management system proposed in the fourth embodiment of the present invention; and the thirteenth diagram (b): the fourth implementation of the case The schematic diagram of the operation flow of the inspection management method mentioned in the example. [Main component symbol description] 24 200951837 91, 92, 93, 94: inspection management system Wl, W2, W3: processing unit All, A12, A13, A14, AIM: inspection time order B1, B2, BN, Cl, m, VI: object symbol group S Bu S39, S40, S41, S42, S80, S_NULL: object symbol F1: distribution curve of the number of occurrences F2: distribution curve of occurrence probability gi, g2, g3: Gaussian distribution curve ❹ F ( N, M): probability matrix N: total device order identification code Μ: total time sequence Ρ61, Ρ72, Ρ83: probability of occurrence F(n, 2): probability of occurrence of complex number in the same order Q(K, m): same The probability group Q(K,1), Q(K,2), Q(K,3) appears in the round: the probability of occurrence of the same wheel Q(C1,1), Q(C1,2), Q(C1,3), Q(C1,4): probability of occurrence in the same round φ fl(K,m): critical probability group r(K,m): comparison result value group f2, fa: critical probability of occurrence D1: configuration R: total ΤΙ, T2 , T3, T4, T5, T6: inspection time El, E2: magnitude data meaning: starting average female 〇i: average 25 200951837 σ: standard deviation SWu, LWu: upper warning value SWL, LWl: early warning Lower value Η: upper limit of regulation L: lower limit of regulation WA: database unit WA1: table W31 : Operation control unit W311 : Inspection work scheduling module W32 : Action inspection device W33 : Inspection personnel W61 : Database system W62 : Management platform W71, W72 : Client inspection software W81, W82 : Inspection execution W91: Manager W92: Supervisor W93: Improver 26
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI509539B (en) * | 2013-01-30 | 2015-11-21 | Chang Gung Medical Foundation | Method and apparatus for scheduling |
| TWI557660B (en) * | 2013-04-03 | 2016-11-11 | Plant inspection methods and systems | |
| TWI687782B (en) * | 2019-01-08 | 2020-03-11 | 緯創資通股份有限公司 | Equipment monitoring management method and system |
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2008
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI509539B (en) * | 2013-01-30 | 2015-11-21 | Chang Gung Medical Foundation | Method and apparatus for scheduling |
| TWI557660B (en) * | 2013-04-03 | 2016-11-11 | Plant inspection methods and systems | |
| TWI687782B (en) * | 2019-01-08 | 2020-03-11 | 緯創資通股份有限公司 | Equipment monitoring management method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| TWI443591B (en) | 2014-07-01 |
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