TWI768545B - Method of controlling coal management system - Google Patents

Method of controlling coal management system Download PDF

Info

Publication number
TWI768545B
TWI768545B TW109139849A TW109139849A TWI768545B TW I768545 B TWI768545 B TW I768545B TW 109139849 A TW109139849 A TW 109139849A TW 109139849 A TW109139849 A TW 109139849A TW I768545 B TWI768545 B TW I768545B
Authority
TW
Taiwan
Prior art keywords
control system
central control
coal consumption
monitoring
candidate feature
Prior art date
Application number
TW109139849A
Other languages
Chinese (zh)
Other versions
TW202221623A (en
Inventor
李鐘培
黃美菊
Original Assignee
臺泥資訊股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 臺泥資訊股份有限公司 filed Critical 臺泥資訊股份有限公司
Priority to TW109139849A priority Critical patent/TWI768545B/en
Priority to CN202110199921.5A priority patent/CN114545866A/en
Priority to US17/409,766 priority patent/US11853023B2/en
Publication of TW202221623A publication Critical patent/TW202221623A/en
Application granted granted Critical
Publication of TWI768545B publication Critical patent/TWI768545B/en

Links

Images

Landscapes

  • Solid Fuels And Fuel-Associated Substances (AREA)
  • Auxiliary Methods And Devices For Loading And Unloading (AREA)

Abstract

A coal management system includes a central control system and a plurality of monitoring points, the plurality of monitoring points being arranged at a plurality of pieces of production line equipment. A method of controlling the coal management system includes the plurality of monitoring points acquiring monitor data, the central control system selecting a candidate feature set and establishing a coal consumption model according to the monitor data, the central control system generating a recommended operation value of a controlled monitoring point of the plurality of monitoring points according to the coal consumption model, and a piece of production line equipment performing an operation according to the recommended operation value to achieve a target operation condition.

Description

控制煤耗系統之方法 Method for controlling coal consumption system

本發明係關於煤耗控制，特別是一種控制煤耗系統之方法。 The present invention relates to coal consumption control, especially a method for controlling coal consumption system.

水泥生產會產生煤耗，然而煤耗過多不但增加製造成本，也會造成環境汙染。水泥之生產線包含許多產線設備，每條生產線都有近萬個監控點。雖然這些監控點可以提供窯況之監控資料，然而監控點數量太多，操作人員難以依照所有監控點的監控資料全面迅速判斷窯況，導致產線設備調整間隔時間過久，不夠即時也不夠正確，無法有效降低煤耗。 Cement production will generate coal consumption, however, excessive coal consumption will not only increase manufacturing costs, but also cause environmental pollution. The cement production line includes many production line equipment, and each production line has nearly 10,000 monitoring points. Although these monitoring points can provide monitoring data of kiln conditions, the number of monitoring points is too large, and it is difficult for operators to comprehensively and quickly judge the kiln conditions according to the monitoring data of all monitoring points, resulting in the adjustment interval of production line equipment being too long, not being timely or correct. , which cannot effectively reduce coal consumption.

本發明實施例提供一種控制煤耗系統之方法。煤耗系統包含中控系統及複數個監控點，該些監控點設置於複數個產線設備上。控制煤耗系統之方法包含該些監控點獲得監控資料，中控系統依據監控資料選定候選特徵集及建立煤耗模型，中控系統依據煤耗模型產生該些監控點中之可控監控點之建議操作值，及產線設備依據建議操作值進行運作以達成目標工況。 Embodiments of the present invention provide a method for controlling a coal consumption system. The coal consumption system includes a central control system and a plurality of monitoring points, and these monitoring points are set on a plurality of production line equipment. The method for controlling the coal consumption system includes obtaining monitoring data from the monitoring points, the central control system selecting a candidate feature set and establishing a coal consumption model according to the monitoring data, and the central control system generating the recommended operating values of the controllable monitoring points among the monitoring points according to the coal consumption model , and the production line equipment operates according to the recommended operating values to achieve the target operating conditions.

1:煤耗系統 1: Coal consumption system

101至10N:監控點 101 to 10N: Monitoring points

12:中控系統 12: Central control system

200:方法 200: Method

S202至S208,S302至S312,S402及S404,S502及S504:步驟 S202 to S208, S302 to S312, S402 and S404, S502 and S504: Steps

第1圖係為本發明實施例中之一種煤耗系統之方塊圖。 FIG. 1 is a block diagram of a coal consumption system according to an embodiment of the present invention.

第2圖係為第1圖中之煤耗系統的操作方法之流程圖。 FIG. 2 is a flow chart of the operation method of the coal consumption system of FIG. 1 .

第3圖係為第2圖中之操作方法的步驟S204之流程圖。 FIG. 3 is a flowchart of step S204 of the operation method in FIG. 2 .

第4圖係為第3圖中之一種建模步驟S306之流程圖。 FIG. 4 is a flowchart of a modeling step S306 in FIG. 3 .

第5圖係為第3圖中之另一種建模步驟S306之流程圖。 FIG. 5 is a flowchart of another modeling step S306 in FIG. 3 .

第1圖係為本發明實施例中之一種煤耗系統1之方塊圖。煤耗系統1可用於水泥廠以降低煤耗。煤耗可以標準煤耗表示。煤耗系統1包含監控點101至10N及中控系統12，N為大於1之正整數。中控系統12可於電腦或電腦網路中運行。監控點101至10N可設置於水泥廠中之複數個產線設備上用以測量該些產線設備之監控資料，及透過有線或無線連接耦接於中控系統12。中控系統12可設置於水泥廠或遠端電腦機房，每一產線設備上可設置至少一監控點。監控點101至10N可將監控資料傳送至中控系統12，中控系統12可將監控資料儲存於資料庫，依據監控資料產生該些產線設備之建議操作值，及將建議操作值回傳至水泥廠以使該些產線設備依據建議操作值進行運作，達成降煤減碳的效益同時維持穩定運作。 FIG. 1 is a block diagram of a coal consumption system 1 in an embodiment of the present invention. The coal consumption system 1 can be used in cement plants to reduce coal consumption. Coal consumption can be expressed as standard coal consumption. The coal consumption system 1 includes monitoring points 101 to 10N and a central control system 12 , where N is a positive integer greater than 1. The central control system 12 can run in a computer or a computer network. The monitoring points 101 to 10N can be set on a plurality of production line equipment in the cement factory to measure the monitoring data of the production line equipment, and are coupled to the central control system 12 through wired or wireless connections. The central control system 12 can be set in a cement plant or a remote computer room, and at least one monitoring point can be set on each production line equipment. The monitoring points 101 to 10N can transmit the monitoring data to the central control system 12, and the central control system 12 can store the monitoring data in the database, generate the recommended operating values of the production line equipment according to the monitoring data, and return the recommended operating values to the cement plant so that the production line equipment can operate according to the recommended operating values, so as to achieve the benefits of reducing coal and carbon while maintaining stable operation.

水泥廠中之複數個產線設備可包含生料秤、煤粉秤、預熱機、分解爐、迴轉窯、篦冷機、高溫風機、冷卻風機、窯頭罩、窯頭排風機及其他產線設備。煤粉秤將煤粉餵入迴轉窯及窯尾分解爐進行燃燒，所產生的熱氣流可將生料秤餵入預熱機的水泥生料進行預熱，接著進入分解爐，通過迴轉窯後再經由篦冷機冷卻以產生水泥熟料(cement clinker)。水泥熟料之產生可受到預熱機之出口之溫度及壓力、分解爐之入口之溫度及壓力、迴轉窯之轉速及溫度、高溫風機及冷卻風機之風量及溫度、煤量之影響。監控點101至10N可為速度計、加速度計、轉速計、風量計、電流感測器、電壓感測器、功率感測器、溫度感測器、壓力感測器、濃度感測器、影像感測器、音訊感測器或其他感測器。監控點101至10N可分為可控監控點、不可控監控點、環境監控點、品質監控點、結 構式資料監控點及非結構式資料監控點。可控監控點可監控轉速、風量、電流、電壓、功率等可控變數。不可控監控點可監控溫度、壓力等不可控變數。環境監控點可監控氮氧化物濃度或一氧化碳濃度等環境變數。例如，濃度感測器可監控氮氧化物(NOx)濃度及/或一氧化碳(CO)濃度以確保煤耗模型的建議不會使環境品質超標。品質監控點可監控水泥生料量或水泥熟料量等品質變數。結構式資料監控點可監控轉速、風量、溫度、壓力、濃度、震動等可以列表方式記錄之變數。非結構式監控點可監控影像或聲音等無法以列表方式記錄之變數。 Multiple production line equipment in a cement plant can include raw meal scales, pulverized coal scales, preheaters, precalciners, rotary kilns, grate coolers, high temperature fans, cooling fans, kiln head covers, kiln head exhaust fans and other production lines equipment. The pulverized coal scale feeds the pulverized coal into the rotary kiln and the kiln tail calciner for combustion, and the generated hot air can feed the raw material scale into the cement raw meal of the preheater for preheating, and then enter the calciner, after passing through the rotary kiln. It is then cooled via a grate cooler to produce cement clinker. The production of cement clinker can be affected by the temperature and pressure of the outlet of the preheater, the temperature and pressure of the inlet of the calciner, the speed and temperature of the rotary kiln, the air volume and temperature of the high temperature fan and the cooling fan, and the amount of coal. The monitoring points 101 to 10N can be a speedometer, an accelerometer, a tachometer, an air flow meter, a current sensor, a voltage sensor, a power sensor, a temperature sensor, a pressure sensor, a concentration sensor, an image sensor, audio sensor or other sensor. Monitoring points 101 to 10N can be divided into controllable monitoring points, uncontrollable monitoring points, environmental monitoring points, quality monitoring points, Structural data monitoring points and unstructured data monitoring points. Controllable monitoring points can monitor controllable variables such as speed, air volume, current, voltage, and power. Uncontrollable monitoring points can monitor uncontrollable variables such as temperature and pressure. Environmental monitoring points monitor environmental variables such as nitrogen oxide concentrations or carbon monoxide concentrations. For example, concentration sensors may monitor nitrogen oxide (NOx) concentrations and/or carbon monoxide (CO) concentrations to ensure that the recommendations of the coal consumption model do not exceed environmental quality. Quality monitoring points can monitor quality variables such as cement raw meal amount or cement clinker amount. The structural data monitoring point can monitor the variables such as speed, air volume, temperature, pressure, concentration, vibration, etc. that can be recorded in a list. Unstructured monitoring points can monitor variables such as video or sound that cannot be recorded in a list.

監控點101至10N可設置於產線設備之關鍵監控位置用以監控影響產生水泥熟料之變數。舉例而言，分解爐之入口係為關鍵監控位置，分解爐之入口之溫度及壓力可反映水泥生料之狀態，因此溫度感測器及壓力感測器可設置於分解爐之入口以感測分解爐之入口之溫度及壓力，中控系統12可依據分解爐之入口之溫度及壓力而產生水泥生料量及煤耗量之建議操作值。在一些實施例中，中控系統12可依據經驗值設置水泥生料量及煤耗量之建議操作值，進而使水泥廠降低0.28%(約7,000公噸)之煤耗量。中控系統12可將水泥生料量及煤耗量之建議操作值傳送至水泥廠之顯示裝置，操作人員可依據顯示螢幕上顯示之建議操作值設定生料秤及煤粉秤。在一些實施例中，中控系統12亦可將水泥生料量及煤耗量之建議操作值分別傳送至生料秤及煤粉秤，生料秤及煤粉秤可分別依據建議操作值自動調整水泥生料量及煤耗量。 The monitoring points 101 to 10N can be set at key monitoring positions of the production line equipment to monitor the variables that affect the production of cement clinker. For example, the inlet of the calciner is a key monitoring location, and the temperature and pressure at the inlet of the calciner can reflect the state of the cement raw meal, so a temperature sensor and a pressure sensor can be installed at the entrance of the calciner to sense According to the temperature and pressure of the inlet of the calciner, the central control system 12 can generate the recommended operating values of the cement raw meal and coal consumption according to the temperature and pressure of the inlet of the calciner. In some embodiments, the central control system 12 can set the recommended operating values of cement raw meal amount and coal consumption according to empirical values, thereby reducing the coal consumption of the cement plant by 0.28% (about 7,000 metric tons). The central control system 12 can transmit the suggested operating values of the cement raw meal and coal consumption to the display device of the cement plant, and the operator can set the raw meal scale and the pulverized coal scale according to the suggested operating values displayed on the display screen. In some embodiments, the central control system 12 can also transmit the recommended operating values of the cement raw meal amount and the coal consumption to the raw meal scale and the pulverized coal scale, respectively, and the raw meal scale and the pulverized coal scale can be automatically adjusted according to the recommended operating values, respectively. Cement raw meal and coal consumption.

此外，轉速計及溫度計可設置於迴轉窯，壓力感測器及溫度計可設置於窯頭罩，轉速計可設置於窯頭排風機，電流感測器及風量計可設置於高溫風機及冷卻風機，速度計可設置於篦冷機，及其他監控點可設置於該些產線設備之其他關鍵監控位置。在一些實施例中，中控系統12可依據監控點101至10N 測量到之監控資料建立煤耗模型，及依據煤耗模型產生監控點101至10N中之可控監控點之建議操作值，進一步使水泥廠降低1.02%(約24,000公噸)之煤耗量。例如，可控監控點可為迴轉窯之轉速計及冷卻風機之風量計。中控系統12可依據煤耗模型產生迴轉窯之轉速及冷卻風機之風量之建議操作值。中控系統12可將迴轉窯之轉速及冷卻風機之風量之建議操作值傳送至水泥廠之顯示裝置，操作人員可依據顯示螢幕上顯示之建議操作值設定迴轉窯及冷卻風機。在一些實施例中，中控系統12亦可將迴轉窯之轉速及冷卻風機之風量之建議操作值分別傳送至迴轉窯及冷卻風機，迴轉窯及冷卻風機可分別依據建議操作值自動調整水泥生料量及煤耗量。 In addition, the tachometer and thermometer can be installed in the rotary kiln, the pressure sensor and thermometer can be installed in the kiln head cover, the tachometer can be installed in the kiln head exhaust fan, and the current sensor and air volume meter can be installed in the high temperature fan and cooling fan , the speedometer can be set in the grate cooler, and other monitoring points can be set in other key monitoring positions of the production line equipment. In some embodiments, the central control system 12 may monitor points 101 to 10N according to The measured monitoring data is used to establish a coal consumption model, and based on the coal consumption model, the recommended operating values of the controllable monitoring points among the monitoring points 101 to 10N are generated, which further reduces the coal consumption of the cement plant by 1.02% (approximately 24,000 metric tons). For example, the controllable monitoring points may be the tachometer of the rotary kiln and the air flow meter of the cooling fan. The central control system 12 can generate suggested operating values of the rotational speed of the rotary kiln and the air volume of the cooling fan according to the coal consumption model. The central control system 12 can transmit the recommended operating values of the rotational speed of the rotary kiln and the air volume of the cooling fan to the display device of the cement plant, and the operator can set the rotary kiln and the cooling fan according to the recommended operating values displayed on the display screen. In some embodiments, the central control system 12 can also transmit the recommended operating values of the rotational speed of the rotary kiln and the air volume of the cooling fan to the rotary kiln and the cooling fan, respectively, and the rotary kiln and the cooling fan can automatically adjust the cement production according to the recommended operating values. feed and coal consumption.

在一些實施例中，中控系統12可預設使用煤耗模型產生建議操作值，若建議操作值超出其上下限，或當該些產線設備依據建議操作值進行運作會造成工況危機時，中控系統12可切換至依據經驗值產生建議操作值或由人工決定建議操作值。工況危機可包含溫度超出溫度上下限或壓力超出壓力上下限。 In some embodiments, the central control system 12 can preset the coal consumption model to generate the recommended operating value. If the recommended operating value exceeds its upper and lower limits, or when the production line equipment operates according to the recommended operating value, it will cause a crisis in operating conditions. The central control system 12 can switch to generate the suggested operation value according to the empirical value or manually determine the suggested operation value. Condition crises can include temperature exceeding the upper and lower temperature limits or pressure exceeding the upper and lower pressure limits.

第2圖係為煤耗系統1的操作方法200之流程圖。操作方法200包含步驟S202至S208，用以建立煤耗模型及使用煤耗模型產生建議操作值，進而使水泥廠之產線設備達成目標工況。任何合理的技術變更或是步驟調整都屬於本發明所揭露的範疇。步驟S202至S208的詳細內容如下所述：步驟S202：監控點101至10N獲得監控資料；步驟S204：中控系統12依據監控資料選定候選特徵集及建立煤耗模型；步驟S206：中控系統12依據煤耗模型產生監控點101至10N之可控 監控點之建議操作值；步驟S208：產線設備依據建議操作值進行運作以達成目標工況。 FIG. 2 is a flow chart of a method 200 of operation of the coal consumption system 1 . The operation method 200 includes steps S202 to S208 for establishing a coal consumption model and using the coal consumption model to generate suggested operating values, so that the production line equipment of the cement plant can reach the target operating conditions. Any reasonable technical changes or step adjustments belong to the scope disclosed by the present invention. The details of steps S202 to S208 are as follows: step S202: monitoring points 101 to 10N obtain monitoring data; step S204: the central control system 12 selects a candidate feature set and establishes a coal consumption model according to the monitoring data; step S206: the central control system 12 according to Controllable control of monitoring points 101 to 10N generated by coal consumption model The recommended operating value of the monitoring point; Step S208 : the production line equipment operates according to the recommended operating value to achieve the target operating condition.

在步驟S202中，監控點101至10N以相同之預定時間間隔獲得監控資料。預定時間間隔可為30秒。在步驟S204中，中控系統12會選定候選特徵集及建立煤耗模型。候選特徵集可包含複數個候選特徵，例如水泥生料量、水泥熟料量、煤耗量、分解爐之入口之溫度、迴轉窯之轉速及冷卻風機之風量。中控系統12使用對應該些候選特徵之監控資料建立煤耗模型，及依據煤耗模型所產生之預測誤差判定是否更新候選特徵集中之候選特徵。步驟S204之詳細步驟如第3圖之流程圖所示，在後續段落會說明。在步驟S206中，中控系統12會以固定時間或不以固定時間產生可控監控點之建議操作值。固定時間可為10分鐘。中控系統12可將每個可控監控點之監控資料在其上下限範圍內進行調整以提供每個可控監控點之建議操作值，用以降低煤耗。例如，若目前水泥生料量為0.5公噸且水泥生料量之上下限範圍在每小時正負2公噸，中控系統12可建議將水泥生料量之建議操作值增加至1公噸，用以降低煤耗。每個可控監控點之監控資料的上下限範圍可以從經驗值獲得或在達成穩定工況的情況下從煤耗模型或其他模型計算得出。其他模型可為壓力模型或溫度模型。穩定工況可包含維持溫度於溫度上下限之內及維持壓力於壓力上下限之內。例如，若溫度上下限為1400℃至1200℃，中控系統12可調整溫度模型中之水泥生料量以判定水泥生料量之上下限範圍要維持在每小時正負2公噸之間才可維持溫度於1400℃至1200℃之間。在一些實施例中，若可控監控點的數量大於1，則中控系統12可針對每個可控監控點之建議操作值設定優先順序，及依據優先順序產生產線設備之建議操作值。操作人員可依據優先順序使用建議操作值設定該些產線設備，或該些產線設備可依據優先順序使用建議操作值進行運作。在步驟S308中，目標工況可 為穩定工況、降低煤耗、提升產量、或任兩者。 In step S202, the monitoring points 101 to 10N obtain monitoring data at the same predetermined time interval. The predetermined time interval may be 30 seconds. In step S204, the central control system 12 selects a candidate feature set and establishes a coal consumption model. The candidate feature set may include a plurality of candidate features, such as the amount of cement raw meal, the amount of cement clinker, the coal consumption, the temperature of the inlet of the precalciner, the rotational speed of the rotary kiln, and the air volume of the cooling fan. The central control system 12 uses the monitoring data corresponding to the candidate features to establish a coal consumption model, and determines whether to update the candidate features in the candidate feature set according to the prediction error generated by the coal consumption model. The detailed steps of step S204 are shown in the flowchart of FIG. 3, which will be described in the following paragraphs. In step S206 , the central control system 12 generates the suggested operation value of the controllable monitoring point at a fixed time or not at a fixed time. The fixed time may be 10 minutes. The central control system 12 can adjust the monitoring data of each controllable monitoring point within its upper and lower limits to provide the recommended operating value of each controllable monitoring point, so as to reduce coal consumption. For example, if the current cement raw meal amount is 0.5 metric ton and the upper and lower limits of the cement raw meal amount are within plus or minus 2 metric tons per hour, the central control system 12 may suggest increasing the recommended operating value of the cement raw meal amount to 1 metric ton to reduce the coal consumption. The upper and lower limits of the monitoring data for each controllable monitoring point can be obtained from empirical values or calculated from a coal consumption model or other models when a stable operating condition is achieved. Other models may be pressure models or temperature models. Steady operating conditions may include maintaining the temperature within the upper and lower temperature limits and maintaining the pressure within the upper and lower pressure limits. For example, if the upper and lower temperature limits are between 1400°C and 1200°C, the central control system 12 can adjust the cement raw meal amount in the temperature model to determine that the upper and lower limits of the cement raw meal amount must be maintained within a range of plus or minus 2 metric tons per hour. The temperature is between 1400°C and 1200°C. In some embodiments, if the number of controllable monitoring points is greater than 1, the central control system 12 may set a priority order for the recommended operating values of each controllable monitoring point, and produce the recommended operating values of the production line equipment according to the priority order. The operator may set the line equipment using the recommended operating values according to the priority order, or the production line equipment may operate according to the priority order using the recommended operating values. In step S308, the target operating condition may be To stabilize operating conditions, reduce coal consumption, increase production, or both.

第3圖係為第2圖中之操作方法的步驟S204之流程圖。步驟S204包含步驟S302至S312，步驟S302至S306用以建立煤耗模型，步驟S308至S312用以選定候選特徵集。任何合理的技術變更或是步驟調整都屬於本發明所揭露的範疇。步驟S302至S312的詳細內容如下所述：步驟S302：中控系統12接收複數個候選特徵作為候選特徵集；步驟S304：中控系統12依據候選特徵集使用監控資料更新複數組建模資料集；步驟S306：中控系統12依據該些組建模資料集建立煤耗模型；步驟S308：中控系統12將每組建模資料集中之更新資料輸入煤耗模型以產生預測誤差；步驟S310：中控系統12判定預測誤差是否大於誤差臨界值；若是，繼續步驟S312；若否，進入步驟S206；步驟S312：中控系統12更新候選特徵集。 FIG. 3 is a flowchart of step S204 of the operation method in FIG. 2 . Step S204 includes steps S302 to S312, where steps S302 to S306 are used to establish a coal consumption model, and steps S308 to S312 are used to select candidate feature sets. Any reasonable technical changes or step adjustments belong to the scope disclosed by the present invention. The details of steps S302 to S312 are as follows: step S302: the central control system 12 receives a plurality of candidate features as a candidate feature set; step S304: the central control system 12 updates the complex group modeling data set using monitoring data according to the candidate feature set; Step S306: The central control system 12 establishes a coal consumption model according to the sets of modeling data; Step S308: The central control system 12 inputs the updated data in each set of modeling data sets into the coal consumption model to generate prediction errors; Step S310: The central control system 12. Determine whether the prediction error is greater than the error threshold; if yes, go to step S312; if not, go to step S206; step S312: the central control system 12 updates the candidate feature set.

在步驟S302中，每個候選特徵對應監控點101至10N之一者。例如，水泥生料量可對應生料秤；水泥熟料量可對應熟料秤；煤耗量可對應煤粉秤；分解爐之入口之溫度可對應分解爐之入口之溫度計；迴轉窯之轉速可對應迴轉窯之轉速計；及冷卻風機之風量可對應冷卻風機之風量計。在步驟S304中，每組建模資料集對應該些候選特徵之一者，中控系統12可將監控點101至10N之監控資料依序更新至對應組組建模資料集。例如，中控系統12可依據時間順序將所有水泥生料量儲存於第1組建模資料集；將所有水泥熟料量儲存於第2組建模 資料集；將所有分解爐之入口之溫度值儲存於第3組建模資料集，將所有迴轉窯之轉速值儲存於第4組建模資料集，及將所有冷卻風機之風量值儲存於第5組建模資料集；及將所有煤耗量儲存於目標煤耗資料集。在步驟S306中，中控系統12依據該些組建模資料集及複數個對應煤耗值訓練煤耗模型。例如，中控系統12可隨機從第1組至第5組建模資料集取出對應相同時間點之水泥生料量、水泥熟料量、分解爐之入口之溫度值、迴轉窯之轉速值及冷卻風機之風量值輸入煤耗模型以計算預測煤耗值，及調整煤耗模型中之複數個權重以使預測煤耗值趨近於對應相同時間點之煤耗值，進而建立煤耗模型。在建立煤耗模型後，中控系統12可依據候選特徵之重要性調整對應可控監控點之建議操作值的優先順序。候選特徵之重要性係相關於候選特徵在煤耗模型中之權重。當候選特徵之權重越大，則候選特徵之優先順序越高。當候選特徵之權重越小，則候選特徵之優先順序越低。建立煤耗模型之演算法可包含基於領域知識建構規則的(rule-based)演算法、線性/非線性演算法、集成式(ensemble)演算法、裝袋式(bagging)演算法、提升式(boosting)演算法、適應式學習演算法、其他機器學習演算法或上述演算法之結合。建模步驟S306可由第4圖所示之階層式建模實現，或由第5圖所示之限制式建模實現，在後續段落會說明。 In step S302, each candidate feature corresponds to one of the monitoring points 101 to 10N. For example, the amount of cement raw meal can correspond to the raw meal scale; the amount of cement clinker can correspond to the clinker scale; the coal consumption can correspond to the pulverized coal scale; the temperature at the inlet of the calciner can correspond to the thermometer at the inlet of the calciner; The tachometer corresponding to the rotary kiln; and the air volume of the cooling fan can correspond to the air volume meter of the cooling fan. In step S304 , each group of modeling data sets corresponds to one of the candidate features, and the central control system 12 can sequentially update the monitoring data of the monitoring points 101 to 10N to the corresponding group of modeling data sets. For example, the central control system 12 can store all the cement raw meal quantities in the first group of modeling data sets; store all the cement clinker quantities in the second group of modeling data sets in chronological order Data set; store the temperature values of the inlets of all calciners in the third group of modeling data sets, store the rotational speed values of all rotary kilns in the fourth group of modeling data sets, and store the air volume values of all cooling fans in the third group of modeling data sets. 5 sets of modeling data sets; and storing all coal consumption in the target coal consumption data set. In step S306, the central control system 12 trains a coal consumption model according to the sets of modeling data sets and a plurality of corresponding coal consumption values. For example, the central control system 12 can randomly extract the cement raw meal amount, the cement clinker amount, the temperature value at the inlet of the precalciner, the rotational speed value of the rotary kiln and The air volume value of the cooling fan is input into the coal consumption model to calculate the predicted coal consumption value, and multiple weights in the coal consumption model are adjusted to make the predicted coal consumption value approach the coal consumption value corresponding to the same time point, and then the coal consumption model is established. After the coal consumption model is established, the central control system 12 may adjust the priority order of the suggested operating values corresponding to the controllable monitoring points according to the importance of the candidate features. The importance of the candidate features is related to the weight of the candidate features in the coal consumption model. The higher the weight of the candidate features, the higher the priority of the candidate features. When the weight of the candidate feature is smaller, the priority of the candidate feature is lower. Algorithms for establishing coal consumption models may include rule-based algorithms, linear/non-linear algorithms, ensemble algorithms, bagging algorithms, boosting algorithms ) algorithms, adaptive learning algorithms, other machine learning algorithms, or a combination of the above. The modeling step S306 can be realized by the hierarchical modeling shown in FIG. 4 , or the restricted modeling shown in FIG. 5 , which will be described in the following paragraphs.

在步驟S308中，中控系統12將每組建模資料集中之更新資料輸入煤耗模型以產生預測煤耗值，及計算預測煤耗值及更新煤耗值之間之差值作為預測誤差。較小之預測誤差表示煤耗模型準確，煤耗模型預測得出之預測煤耗值接近真正之更新煤耗值。較大之預測誤差表示煤耗模型不準確，煤耗模型預測得出之預測煤耗值偏離真正之更新煤耗值。在步驟S310中，若預測誤差大於誤差臨界值，則需要更新候選特徵集(步驟S312)以重新訓練煤耗模型；若預測誤差不大於誤差臨界值，則不需要更新候選特徵集且可於後續程序中使用訓練完成 之煤耗模型。在一些實施例中，中控系統12可將候選特徵從該候選特徵集中移除以更新候選特徵集。在另一些實施例中，中控系統12可將另一候選特徵更新至該候選特徵集，另一候選特徵對應另一監控點。例如，另一候選特徵可為窯頭罩之壓力，另一監控點可為窯頭罩之壓力計。另一監控點可以是先前已設置於產線設備上但未使用之監控點，或是新設置於產線設備上之監控點。例如，可新增震動感測器至迴轉窯以增加監控點。 In step S308, the central control system 12 inputs the updated data in each set of modeling data sets into the coal consumption model to generate the predicted coal consumption value, and calculates the difference between the predicted coal consumption value and the updated coal consumption value as the prediction error. A small prediction error indicates that the coal consumption model is accurate, and the predicted coal consumption value predicted by the coal consumption model is close to the real updated coal consumption value. A larger prediction error indicates that the coal consumption model is inaccurate, and the predicted coal consumption value predicted by the coal consumption model deviates from the real updated coal consumption value. In step S310, if the prediction error is greater than the error threshold, the candidate feature set needs to be updated (step S312) to retrain the coal consumption model; if the prediction error is not greater than the error threshold, the candidate feature set does not need to be updated and can be used in subsequent procedures Completed using training The coal consumption model. In some embodiments, the central control system 12 may remove candidate features from the candidate feature set to update the candidate feature set. In other embodiments, the central control system 12 may update another candidate feature to the candidate feature set, and the other candidate feature corresponds to another monitoring point. For example, another candidate feature could be the pressure of the kiln hood, and another monitoring point could be the pressure gauge of the kiln hood. Another monitoring point may be a monitoring point previously set on the production line equipment but not used, or a monitoring point newly set on the production line equipment. For example, vibration sensors can be added to the rotary kiln to increase monitoring points.

第4圖係為第3圖中之一種建模步驟S306之流程圖。建模步驟S306包含步驟S402及S404，用以進行階層式建模以產生煤耗模型。任何合理的技術變更或是步驟調整都屬於本發明所揭露的範疇。步驟S402及S404的詳細內容如下所述：步驟S402：依據不可控監控點之對應候選特徵之對應建模資料集訓練第一模型以減小目標煤耗值及預測煤耗值之間之殘差；步驟S404：依據可控監控點之對應候選特徵之對應建模資料集訓練第二模型以減小殘差及預測殘差值之間之差值。 FIG. 4 is a flowchart of a modeling step S306 in FIG. 3 . The modeling step S306 includes steps S402 and S404 for performing hierarchical modeling to generate a coal consumption model. Any reasonable technical changes or step adjustments belong to the scope disclosed by the present invention. The details of steps S402 and S404 are as follows: Step S402: train the first model according to the corresponding modeling data set of the corresponding candidate features of the uncontrollable monitoring points to reduce the residual between the target coal consumption value and the predicted coal consumption value; step S404: Train the second model according to the corresponding modeling data set of the corresponding candidate features of the controllable monitoring points to reduce the difference between the residual and the predicted residual.

依照階層式建模產生之煤耗模型包含第一模型及第二模型，第一模型只包含不可控監控點之對應候選特徵，第二模型只包含可控監控點之對應候選特徵。在步驟S402中，由於第一模型只包含不可控監控點之對應候選特徵，訓練完成之第一模型產生之殘差已去除不可控監控點的影響。在步驟S404中，由於第一模型只包含可控監控點之對應候選特徵，訓練完成之第二模型可用以預測可控監控點的變化效果。在一些實施例中，中控系統12可在達成穩定工況的情況下將每個可控監控點之監控資料在其上下限範圍內調整以提供每個可控 監控點之建議操作值，進而降低預測煤耗值。 The coal consumption model generated according to the hierarchical modeling includes a first model and a second model, the first model only includes the corresponding candidate features of the uncontrollable monitoring points, and the second model only includes the corresponding candidate features of the controllable monitoring points. In step S402, since the first model only includes the corresponding candidate features of the uncontrollable monitoring points, the residuals generated by the trained first model have removed the influence of the uncontrollable monitoring points. In step S404, since the first model only includes the corresponding candidate features of the controllable monitoring points, the trained second model can be used to predict the change effect of the controllable monitoring points. In some embodiments, the central control system 12 may adjust the monitoring data of each controllable monitoring point within its upper and lower limits to provide each controllable monitoring point under the condition of achieving a stable operating condition. The recommended operating value of the monitoring point, thereby reducing the predicted coal consumption value.

第5圖係為第3圖中之另一種建模步驟S306之流程圖。另一種建模步驟S306包含步驟S502及S504，用以進行限制式建模以產生煤耗模型。任何合理的技術變更或是步驟調整都屬於本發明所揭露的範疇。步驟S502及S504的詳細內容如下所述：步驟S502：依據監控點101至10N之對應候選特徵之該些組對應建模資料集訓練煤耗模型；步驟S504：依據目標產量使用煤耗模型計算監控點101至10N中之監控點101n之監控資料的上限及下限。 FIG. 5 is a flowchart of another modeling step S306 in FIG. 3 . Another modeling step S306 includes steps S502 and S504 for performing restricted modeling to generate a coal consumption model. Any reasonable technical changes or step adjustments belong to the scope disclosed by the present invention. The details of steps S502 and S504 are as follows: Step S502 : training the coal consumption model according to the sets of corresponding modeling data sets of the corresponding candidate features of the monitoring points 101 to 10N ; Step S504 : calculating the monitoring point 101 using the coal consumption model according to the target output The upper limit and lower limit of the monitoring data to the monitoring point 101n in 10N.

在步驟S504中，目標產量為水泥熟料的預定目標產量。中控系統12可在訓練完成之煤耗模型中將水泥熟料之候選特徵的資料固定於預定目標產量，及在達成穩定工況的情況下分別調整每個可控監控點之監控資料以獲得每個可控監控點之監控資料的上下限。 In step S504, the target output is a predetermined target output of cement clinker. The central control system 12 can fix the data of the candidate features of the cement clinker at the predetermined target output in the coal consumption model that has been trained, and adjust the monitoring data of each controllable monitoring point to obtain each The upper and lower limits of the monitoring data of a controllable monitoring point.

第1圖至第5圖之實施例依據產線設備之監控資料選取候選特徵集及建立煤耗模型，及使用煤耗模型提供產線設備之建議操作值以降低煤耗，減低水泥廠之運作費用，減少碳排放量，無須人工判斷產線設備之操作值即可快速正確地控制產線設備以產生水泥熟料。 The embodiments in Figures 1 to 5 select candidate feature sets and establish a coal consumption model based on the monitoring data of the production line equipment, and use the coal consumption model to provide the recommended operating values of the production line equipment to reduce coal consumption, reduce the operating cost of the cement plant, and reduce Carbon emissions, the production line equipment can be quickly and correctly controlled to produce cement clinker without manually judging the operating value of the production line equipment.

以上所述僅為本發明之較佳實施例，凡依本發明申請專利範圍所做之均等變化與修飾，皆應屬本發明之涵蓋範圍。 The above descriptions are only preferred embodiments of the present invention, and all equivalent changes and modifications made according to the scope of the patent application of the present invention shall fall within the scope of the present invention.

200:方法 200: Method

S202至S208:步驟 S202 to S208: Steps

Claims (9)

一種控制煤耗系統之方法，該煤耗系統包含一中控系統及複數個監控點，該些監控點設置於複數個產線設備上，該方法包含：該些監控點獲得監控資料；該中控系統依據該監控資料選定一候選特徵集及建立一煤耗模型，該候選特徵集中之一候選特徵對應具高相關性的可控監控點；該中控系統依據該候選特徵之重要性調整該可控監控點之一建議操作值的優先順序；該中控系統依據該優先順序使用該煤耗模型產生該些監控點中之該可控監控點之該建議操作值；及產線設備依據該建議操作值進行運作以達成一目標工況。 A method for controlling a coal consumption system, the coal consumption system includes a central control system and a plurality of monitoring points, the monitoring points are set on a plurality of production line equipment, the method comprises: obtaining monitoring data from the monitoring points; the central control system According to the monitoring data, a candidate feature set is selected and a coal consumption model is established, and a candidate feature in the candidate feature set corresponds to a controllable monitoring point with high correlation; the central control system adjusts the controllable monitoring point according to the importance of the candidate feature The priority order of the proposed operating value of one of the points; the central control system uses the coal consumption model to generate the recommended operating value of the controllable monitoring point among the monitoring points according to the priority order; and the production line equipment performs the operation according to the recommended operating value operate to achieve a target condition. 如請求項1所述之方法，其中該中控系統依據該監控資料選定該候選特徵集及建立該煤耗模型包含：該中控系統接收複數個候選特徵作為該候選特徵集，每個候選特徵對應該些監控點之一者；該中控系統依據該候選特徵集使用該監控資料更新複數組建模資料集，每組建模資料集對應該些候選特徵之一者；及該中控系統依據該些組建模資料集建立該煤耗模型。 The method of claim 1, wherein the central control system selects the candidate feature set according to the monitoring data and establishes the coal consumption model comprising: the central control system receives a plurality of candidate features as the candidate feature set, each candidate feature pair corresponding to one of these monitoring points; the central control system uses the monitoring data to update multiple sets of modeling data sets according to the candidate feature set, each set of modeling data sets corresponds to one of the candidate features; and the central control system based on These sets of modeling data sets establish the coal consumption model. 如請求項2所述之方法，其中該中控系統依據該監控資料選定該候選特徵集及建立該煤耗模型另包含：該中控系統將該每組建模資料集中之更新資料輸入該煤耗模型以產生一預測誤差；及 該中控系統依據該預測誤差更新該候選特徵集。 The method of claim 2, wherein the central control system selects the candidate feature set and establishes the coal consumption model according to the monitoring data, further comprising: the central control system inputs the updated data in each set of modeling data sets into the coal consumption model to produce a prediction error; and The central control system updates the candidate feature set according to the prediction error. 如請求項3所述之方法，其中該煤耗系統另包含另一監控點，設置於該些產線設備之一者上；及該中控系統依據該預測誤差更新該候選特徵集包含：若該預測誤差大於一誤差臨界值，則該中控系統將另一候選特徵更新至該候選特徵集，該另一候選特徵對應該另一監控點。 The method of claim 3, wherein the coal consumption system further includes another monitoring point, which is set on one of the production line equipment; and the central control system updates the candidate feature set according to the prediction error including: if the If the prediction error is greater than an error threshold, the central control system updates another candidate feature to the candidate feature set, and the other candidate feature corresponds to the other monitoring point. 如請求項3所述之方法，其中該中控系統依據該預測誤差更新該候選特徵集包含：若該預測誤差大於一誤差臨界值，則該中控系統將一候選特徵從該候選特徵集中移除。 The method of claim 3, wherein the central control system updating the candidate feature set according to the prediction error comprises: if the prediction error is greater than an error threshold, moving a candidate feature from the candidate feature set by the central control system remove. 如請求項2所述之方法，其中該些監控點包含複數個可控監控點及複數個不可控監控點；該煤耗模型包含一第一模型及一第二模型；及該中控系統依據該些組建模資料集建立該煤耗模型包含：該中控系統依據該些不可控監控點之複數個對應候選特徵之複數組對應建模資料集訓練該第一模型以減小一目標煤耗值及一預測煤耗值之間之一殘差；及該中控系統依據該些可控監控點之複數個對應候選特徵之複數組對應建模資料集訓練該第二模型以減小該殘差及一預測殘差值之間之一差值。 The method of claim 2, wherein the monitoring points include a plurality of controllable monitoring points and a plurality of uncontrollable monitoring points; the coal consumption model includes a first model and a second model; and the central control system is based on the Establishing the coal consumption model with the sets of modeling data sets includes: the central control system trains the first model to reduce a target coal consumption value according to the plurality of sets of corresponding modeling data sets corresponding to the candidate features of the uncontrollable monitoring points and a residual between predicted coal consumption values; and the central control system trains the second model according to a plurality of sets of modeling data sets corresponding to a plurality of candidate features of the controllable monitoring points to reduce the residual and a A difference between predicted residual values. 如請求項2所述之方法，其中該中控系統依據該些組建模資料集建立該煤耗模型包含：該中控系統依據該些監控點之該些對應候選特徵之該些組對應建模資料集訓練該煤耗模型；及該中控系統依據一目標產量使用該煤耗模型計算該些監控點中之一監控點之監控資料的一上限及一下限。 The method of claim 2, wherein the central control system establishing the coal consumption model according to the group modeling data sets comprises: the central control system correspondingly modeling the groups according to the corresponding candidate features of the monitoring points The data set trains the coal consumption model; and the central control system uses the coal consumption model to calculate an upper limit and a lower limit of monitoring data of one of the monitoring points according to a target production. 如請求項7所述之方法，另包含該中控系統依據該上限及該下限產生該監控點之一建議操作值。 The method of claim 7, further comprising the central control system generating a suggested operation value of the monitoring point according to the upper limit and the lower limit. 如請求項1所述之方法，其中該重要性係相關於該候選特徵在該煤耗模型中之一權重。 The method of claim 1, wherein the importance is related to a weight of the candidate feature in the coal consumption model.
TW109139849A 2020-11-11 2020-11-16 Method of controlling coal management system TWI768545B (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
TW109139849A TWI768545B (en) 2020-11-16 2020-11-16 Method of controlling coal management system
CN202110199921.5A CN114545866A (en) 2020-11-11 2021-02-23 Method for controlling coal consumption system
US17/409,766 US11853023B2 (en) 2020-11-11 2021-08-23 Method of controlling coal management system for reducing coal usage

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TW109139849A TWI768545B (en) 2020-11-16 2020-11-16 Method of controlling coal management system

Publications (2)

Publication Number Publication Date
TW202221623A TW202221623A (en) 2022-06-01
TWI768545B true TWI768545B (en) 2022-06-21

Family

ID=83062482

Family Applications (1)

Application Number Title Priority Date Filing Date
TW109139849A TWI768545B (en) 2020-11-11 2020-11-16 Method of controlling coal management system

Country Status (1)

Country Link
TW (1) TWI768545B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120174830A1 (en) * 2006-01-18 2012-07-12 Nox Ii, Ltd. Method of operating a coal burning facility
CN103030313A (en) * 2013-01-09 2013-04-10 武安市新峰水泥有限责任公司 Cement production and optimization system
CN103092171A (en) * 2013-01-09 2013-05-08 武安市新峰水泥有限责任公司 Cement digital management and control system
CN104636815A (en) * 2013-11-15 2015-05-20 中国科学院沈阳自动化研究所 Integrated management system of energy information of cement enterprises
CN104992298A (en) * 2015-07-16 2015-10-21 南京朗坤软件有限公司 Energy management system
TWI620908B (en) * 2017-10-16 2018-04-11 臺泥資訊股份有限公司 Method and system for monitoring equipment
CN108733849A (en) * 2018-06-15 2018-11-02 武汉理工大学 Manufacture of cement kiln system heat consumption analysis visualization system and method based on MVC
CN109033511A (en) * 2018-06-15 2018-12-18 武汉理工大学 A kind of quality coal in cement kiln systems heat consumption analysis method of combined data driving and data mining

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120174830A1 (en) * 2006-01-18 2012-07-12 Nox Ii, Ltd. Method of operating a coal burning facility
CN103030313A (en) * 2013-01-09 2013-04-10 武安市新峰水泥有限责任公司 Cement production and optimization system
CN103092171A (en) * 2013-01-09 2013-05-08 武安市新峰水泥有限责任公司 Cement digital management and control system
CN104636815A (en) * 2013-11-15 2015-05-20 中国科学院沈阳自动化研究所 Integrated management system of energy information of cement enterprises
CN104992298A (en) * 2015-07-16 2015-10-21 南京朗坤软件有限公司 Energy management system
TWI620908B (en) * 2017-10-16 2018-04-11 臺泥資訊股份有限公司 Method and system for monitoring equipment
CN108733849A (en) * 2018-06-15 2018-11-02 武汉理工大学 Manufacture of cement kiln system heat consumption analysis visualization system and method based on MVC
CN109033511A (en) * 2018-06-15 2018-12-18 武汉理工大学 A kind of quality coal in cement kiln systems heat consumption analysis method of combined data driving and data mining

Also Published As

Publication number Publication date
TW202221623A (en) 2022-06-01

Similar Documents

Publication Publication Date Title
US8571715B2 (en) On-line optimization of induration of wet iron ore pellets on a moving grate
CN110378044B (en) Multi-time scale convolution neural network soft measurement method based on attention mechanism
CN103092171B (en) Cement digital management and control system
CN111174569B (en) Method and system for online prediction of flue gas temperature of calcining section in rotary kiln
CN103034130B (en) Cement on-line simulation system and implementation method thereof
JP2019019385A (en) Method and device for predicting molten iron temperature, operation method of blast furnace, operation guidance device, and method and device for controlling molten iron temperature
JP7078176B2 (en) Production equipment monitoring method, production equipment monitoring equipment, and production equipment operation method
TWI768545B (en) Method of controlling coal management system
US11853023B2 (en) Method of controlling coal management system for reducing coal usage
JP5286729B2 (en) Combustion control method and combustion control apparatus for hot stove
CN106705657A (en) Remote real-time acquiring system of rotary kiln operation state data and control method thereof
CN101275811A (en) Intelligent control method of clinker grid type cooling machine cooling procedure
Matias et al. Fault detection and replacement of a temperature sensor in a cement rotary kiln
CN113253618B (en) Intelligent management and control system for all-dimensional sintering process
JPS61209937A (en) Method and device for controlling cement clinker manufacturefacilities
Zhou et al. Intelligent dynamic modeling for online estimation of burning zone temperature in cement rotary kiln
CN115406260A (en) Method and system applied to intelligent control of combustion of rotary hearth furnace
JP2021033951A (en) Process management support device, support method, support program and support system
CN117556711B (en) Blast furnace coal injection optimization method, system, terminal and medium based on neural network
CN116182564B (en) Intelligent control system for ignition furnace of sintering machine
TWI824333B (en) Method of control system controlling nitrogen oxides and ammonia water in selective non-catalytic reduction system
EP4384764A1 (en) Method and system for observing a cement kiln process
CN113671921B (en) Serialized sintering parameter control method
JP2518753B2 (en) Blast furnace charge distribution control device
WO2024053568A1 (en) Sintering process control method, operation guidance method, sintered ore manufacturing method, sintering process control device, operation guidance device, sintering operation guidance system, and terminal device