Sintering feeding process belt weigher mutual verification system based on time sequence and control method

Abstract

The invention discloses a sintering feeding process belt weigher mutual verification system based on a time sequence and a control method, and belongs to the technical field of sintering equipment control, the sintering feeding process belt weigher mutual verification system comprises sintering feeding equipment and a verification system, and a material metering device and a water adding flow meter of the sintering feeding equipment are both connected with the verification system; the verification system comprises a data processing module, a time table module, an abnormity analysis module and a data alarm module, the data processing module is connected with the time table module, the data processing module and the time table module are connected with the abnormity analysis module, and the abnormity analysis module is connected with the data alarm module. According to the invention, the material balance theory and the time sequence algorithm are organically combined to realize mutual verification between the belt weighers, abnormal measurement data are judged, and a producer is prompted to carry out calibration and maintenance in time, so that the accuracy and stability of the measurement data in the sintering and feeding process are ensured, and the accuracy and robustness of a related control model are improved.

Description

Technical Field

[0001] The invention belongs to the technical field of sintering equipment control, and in particular relates to a belt scale mutual calibration system and a control method for a sintering feeding process based on a time series. Background Art

[0002] In the sintering workshop, the typical sintering feeding process mainly involves batching the raw materials according to the proportion, mixing them once, mixing them twice, and then transporting them to the sintering machine mixing tank for the sintering machine to carry out sintering operations. Usually, a batching scale is configured in each batching bin to measure the amount of different raw materials discharged from each batching bin. A belt scale is configured on the large belt before the first mixing to measure the total amount of raw materials discharged into the primary mixer. A belt scale is configured on the belt before granulation to measure the total amount of raw materials discharged into the granulator. A belt scale is set in front of the mixing tank to measure the total amount of raw materials discharged into the mixing tank. In the process of optimizing the control of raw material composition, moisture content, and material level in the mixing tank, the above metering point data are crucial.

[0003] In the actual production process, due to equipment failure, failure to calibrate and maintain regularly, the stability and accuracy of metering data will deteriorate. When metering data deviates, it will seriously affect the optimization control effect associated with it, thereby affecting the quality of sintered ore. Summary of the invention

[0004] In order to solve the above-mentioned problems, the present invention proposes: a time series-based sintering feeding process belt scale mutual calibration system, including sintering feeding equipment and a calibration system, the material metering device and the water addition flow meter of the sintering feeding equipment are connected to the calibration system, the calibration system includes a data processing module, a timetable module, an abnormality analysis module, and a data alarm module, the data processing module is connected to the timetable module, the data processing module and the timetable module are connected to the abnormality analysis module, and the abnormality analysis module is connected to the data alarm module.

[0005] A control method for a belt scale mutual verification system in a sintering feeding process based on a time series comprises the following steps:

[0006] S1. Data processing module performs data collection: uses OPC protocol to read the accumulated data collected in the primary PLC system through a specified time period and defines its location;

[0007] S2, data processing module performs data processing: collects data and processes it into the accumulated value of material flow within unit time Td through time series analysis;

[0008] S3, timetable module: set all time values ​​required by the present invention through the human-machine interface, the time is in seconds;

[0009] S4. Establish a material mass balance relationship, using a time series-based value method to establish a material mass balance relationship based on material mass relationships and time series;

[0010] S5. Abnormal cumulative value analysis: a method for finding abnormal cumulative values ​​is used;

[0011] S6. Abnormal alarm.

[0012] Furthermore, in step S1, the definition is as follows:

[0013] i represents the batching bin number (i=1, 2..., 19);

[0014] The cumulative value of the amount of material discharged from batching bin No. i is defined as WQ0i;

[0015] The cumulative value of the primary mixer feed volume is defined as WQ21;

[0016] The cumulative value of the secondary mixer feed volume is defined as WQ22;

[0017] The cumulative value of the feed amount of the sintering machine mixing tank is defined as WQ23;

[0018] The cumulative value of water added to the primary mixer is defined as FQ01;

[0019] The cumulative value of water added to the secondary mixer is defined as FQ02.

[0020] The collected data contains the following attributes: data name, data description, data value, and data timestamp.

[0021] Furthermore, in step S2, a time series-based data processing method is used, comprising the following steps:

[0022] S21. Determine timestamp

[0023] The timestamp of the current moment is T0;

[0024] The timestamp Td seconds before is TTd, which is the time point Td seconds before T0;

[0025] S22. Get data value

[0026] Find the cumulative value data with timestamps T0 and TTd in the time series, and obtain their data values ​​respectively, recorded as Y(T0) and Y(TTd);

[0027] S23. Calculate the change

[0028] By calculating the difference between Y(T0) and Y(TTd), the change between the current time and the accumulated value Td seconds ago is obtained. The calculation formula for the change is: ΔY = Y(T0) - Y(TTd);

[0029] Through the above data processing method, WQ1~WQ23 data are processed into the following data:

[0030] i represents the batching bin number (i=1, 2..., 19);

[0031] The cumulative value of the amount of material discharged from batching bin No. i within Td seconds is defined as WQd0i;

[0032] The cumulative value of the primary mixer feed volume within Td seconds is defined as WQd21;

[0033] The cumulative value of the secondary mixer feed volume Td seconds is defined as WQd22;

[0034] The cumulative value of the feed volume of the sintering machine mixing tank within Td seconds is defined as WQd23;

[0035] The cumulative value of water added to the mixer in Td seconds is defined as FQd01;

[0036] The cumulative value of water added by the secondary mixer in Td seconds is defined as FQd02;

[0037] The processed data contains the following attributes: data name, data description, data value, and data timestamp.

[0038] Furthermore, in step S3, the schedule content to be entered is as follows:

[0039] The cumulative value cutoff period is defined as Td;

[0040] i represents the batching bin number (i=1, 2..., 19);

[0041] The flow time from the i-th batching detection point to the large belt detection point before the first mixing is defined as Tpi;

[0042] The flow time from the large belt detection point before the first mixer to the belt detection point before the second mixer is defined as Th1;

[0043] The flow time from the belt detection point in front of the secondary mixer to the belt scale detection point in front of the mixing tank is defined as Th2;

[0044] The flow time from the electromagnetic flow meter of the first mixer to the belt detection point in front of the second mixer is defined as Th3;

[0045] The flow time from the secondary mixing electromagnetic flowmeter to the belt scale detection point set in front of the mixing tank is defined as Th4.

[0046] Furthermore, in step S4, the value obtaining method based on time series includes the following steps:

[0047] A. Determine the timestamp

[0048] The timestamp of the current moment is T0;

[0049] The timestamp T seconds ago is T, which is the time point T seconds before the current moment;

[0050] B. Get data value

[0051] Find the data value at the time stamp T0-T in the time series, and Y(T0-T) is the data value to be obtained.

[0052] Using the time series-based value method, the material mass balance relationship is established according to the material mass relationship and time series. The material mass balance relationship is as follows:

[0053] Q1=WQd23 (1)

[0054] Q2=WQd22(Th2)+FQd2(Th4) (2)

[0055] Q3=WQd21(Th1+Th2)+FQd1(Th3+Th2)+FQd2(Th4) (3)

[0056]

[0057] Q1≈Q2≈Q3≈Q4(5)

[0058] Among them, the belt scale detection point set in front of the mixing trough is taken as the reference point. The cumulative value of materials within Td seconds can be calculated as Q1 through WE-23, the cumulative value of materials within Td seconds can be calculated as Q2 through WE-22 and FE-02, the cumulative value of materials within Td seconds can be calculated as Q3 through WE-21 and FE-01, FE-02, and the cumulative value of materials within Td seconds can be calculated as Q4 through WE-0i (i=1~19) and FE-01, FE-02. Considering that the metering device has a certain degree of error, the balance relationship is Q1≈Q2≈Q3≈Q4.

[0059] Furthermore, in step S5, a method for finding an abnormal cumulative value includes the following steps:

[0060] A. Find outlier data

[0061] Sort Q1, Q2, Q3, and Q4, and use the outlier algorithm to obtain abnormal data, which is defined as Qerr;

[0062] Qerr=Qoutlier(Q1, Q2, Q3, Q4);

[0063] B. Take the average value of normal data

[0064] Q1, Q2, Q3, and Q4 remove abnormal data and average the remaining data, which is defined as Qav;

[0065] C. Judge abnormality

[0066] By comparing the abnormal data with the average value, an abnormal alarm threshold can be set. The threshold unit is %, which is defined as Rmax;

[0067] When Qerr≥Qav*(1+Rmax / 100), Qerr is abnormal data, otherwise Qerr is normal data.

[0068] Furthermore, in step S6, the Qerr result is displayed in a list format, and the list includes a sequence number, a timestamp, and an alarm content;

[0069] When Q1 is abnormal, the alarm content is that the data of detection point WE-23 is abnormal, please check in time;

[0070] When Q2 is abnormal, the alarm content is that the data of detection point WE-22 or FE-02 is abnormal, please check in time;

[0071] When Q3 is abnormal, the alarm content is that the data of detection point WE-21 or FE-01 is abnormal, please check in time;

[0072] When Q4 is abnormal, the alarm content is that the data of detection points WE-01 to WE-19 are abnormal, please check in time.

[0073] The beneficial effects of the present invention are as follows: the present invention proposes a time series-based sintering feeding process belt scale mutual verification system, which organically combines material balance theory with time series algorithm to realize mutual verification between belt scales, judges abnormal metering data, and promptly reminds producers to perform calibration and maintenance, thereby ensuring the accuracy and stability of metering data in the sintering feeding process and improving the accuracy and robustness of related control models. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 The structure and function flow chart of the verification system of the present invention;

[0075] Figure 2 It is a flow chart of the sintering feeding process and a schematic diagram of the detection point arrangement device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0076] In order to make the technical means and objectives of the present invention easy to understand, the present invention is further described below in combination with specific implementation methods. A sintering feeding process belt scale mutual calibration system based on time series, such as Figure 1As shown, it includes sintering feeding equipment and a calibration system. The material metering device and water adding flow meter of the sintering feeding equipment are connected to the calibration system. The calibration system includes a data processing module, a timetable module, an abnormality analysis module, and a data alarm module. The data processing module is connected to the timetable module, the data processing module and the timetable module are connected to the abnormality analysis module, and the abnormality analysis module is connected to the data alarm module.

[0077] The present invention provides a belt scale mutual verification system for a sintering feeding process based on a time series. In this embodiment, by analyzing the accumulated flow data of the belt scale, abnormal metering data is determined and an alarm is issued.

[0078] This embodiment includes a hardware system and a software system:

[0079] 1. Hardware system

[0080] 1. Hardware system structure configuration

[0081] The hardware system includes on-site electronic batching scale, electronic belt scale and control components, electromagnetic flow meter, and control system.

[0082] The electronic batching scale and the electronic belt scale collect the corresponding batching bin discharge volume and belt conveyor transportation volume in real time through their control elements, and the collected data is sent to the control system in the form of pulse signals. The control system is responsible for receiving and calculating the pulse signals. In this embodiment, a pulse signal represents 1t of raw material discharge volume. The control system accumulates the pulse signals to form a material cumulative pulse, that is, the cumulative amount of raw material discharge. The control system sends the calculated cumulative amount of raw material discharge to the software system in real time. The electromagnetic flowmeter collects the water addition amount of the mixer in real time and sends it to the control system in the form of 4-20mA. The control system calculates the instantaneous amount of water addition as the cumulative amount and sends it to the software system in real time.

[0083] 2. Process flow and inspection point configuration

[0084] The process flow and detection point configuration of the present invention are as follows Figure 2 As shown:

[0085] The sintering feeding process mainly involves batching the raw materials according to the proportion, mixing them once, mixing them twice, and then transporting them to the sintering machine mixing tank for the sintering machine to carry out sintering operations;

[0086] Among them, WE-XX represents the material metering device (electronic batching scale, electronic belt scale), WE-01~19 are used to collect the material discharge amount of batching bins No. 1~19 respectively, WE-21 is used to collect the total material discharge amount of raw materials entering the primary mixer in real time on the large belt before the first mixer, WE-22 is used to collect the total material discharge amount of raw materials entering the secondary mixer on the belt before the second mixer, and WE-23 is used to collect the total material discharge amount of raw materials entering the mixing tank on the belt before the mixing tank. As the cumulative amount of material discharge increases, the material metering device in the figure continuously outputs cumulative pulse signals to the control system. The control system obtains the pulse signal and accumulates it, and the accumulated value obtained after accumulation is transmitted to the software system in real time.

[0087] Among them, FE-XX represents the water adding flow meter, and FE01 and FE02 are used to collect the water adding amount of the primary mixer and the secondary mixer respectively in real time. After obtaining the real-time flow, the control system accumulates and calculates the data, and the accumulated value is transmitted to the software system in real time.

[0088] 2. Software System

[0089] like Figure 1 As shown: The computer software system includes: data processing module, timetable module, abnormality analysis module, and data alarm module.

[0090] 1. Data processing module:

[0091] 1) Data collection: Use the OPC protocol to read the accumulated data collected in the primary PLC system through a specified time period and define its location.

[0092] i represents the batching bin number (i=1, 2..., 19);

[0093] The cumulative value of the amount of material discharged from batching bin No. i is defined as WQ0i;

[0094] The cumulative value of the primary mixer feed volume is defined as WQ21;

[0095] The cumulative value of the secondary mixer feed volume is defined as WQ22;

[0096] The cumulative value of the feed amount of the sintering machine mixing tank is defined as WQ23;

[0097] The cumulative value of water added to the primary mixer is defined as FQ01;

[0098] The cumulative value of water added to the secondary mixer is defined as FQ02.

[0099] The collected data contains the following attributes: data name, data description, data value, and data timestamp.

[0100] 2) Data processing: The collected data is processed into the cumulative value of material flow within unit time Td through time series analysis.

[0101] A time series based data processing method has been provided here:

[0102] (1) Determine the timestamp

[0103] The timestamp of the current moment is T0;

[0104] The timestamp Td seconds ago is TTd, that is, the time point Td seconds before T0.

[0105] (2) Obtaining data value

[0106] Find the cumulative value data with timestamps T0 and TTd in the time series, and obtain their data values ​​respectively, which are recorded as Y(T0) and Y(TTd).

[0107] (3) Calculate the change

[0108] By calculating the difference between Y(T0) and Y(TTd), the change in the cumulative value between the current time and Td seconds ago is obtained. The calculation formula for the change is: ΔY=Y(T0)-Y(TTd).

[0109] Through the above data processing method, WQ1~WQ23 data can be processed into the following data:

[0110] i represents the batching bin number (i=1, 2..., 19);

[0111] The cumulative value of the amount of material discharged from batching bin No. i within Td seconds is defined as WQd0i;

[0112] The cumulative value of the primary mixer feed volume within Td seconds is defined as WQd21;

[0113] The cumulative value of the secondary mixer feed volume Td seconds is defined as WQd22;

[0114] The cumulative value of the feed amount into the sintering machine mixing trough within Td seconds is defined as WQd23.

[0115] The cumulative value of water added to the mixer in Td seconds is defined as FQd01;

[0116] The cumulative value of water added by the secondary mixer in Td seconds is defined as FQd02;

[0117] The processed data contains the following attributes: data name, data description, data value, and data timestamp.

[0118] 2. Schedule module: All time values ​​required by the present invention are set through the human-machine interface, and the time is in seconds.

[0119] The present invention requires setting belt scale detection points from each ingredient detection point to the large belt detection point before the first mixer, from the large belt detection point before the first mixer to the belt detection point before the second mixer, from the belt detection point before the second mixer to the front of the mixing trough, from the electromagnetic flowmeter of the first mixer to the belt detection point before the second mixer, and from the electromagnetic flowmeter of the second mixer to the front of the mixing trough as the source and end point of the material flow. Then, the flow time of the material along the material flow can be measured on-site according to the time the material runs in equipment such as belt conveyors and mixers, and the measurement is entered into the software system through the human-computer interface.

[0120] The timetable contents that need to be entered in this embodiment are as follows:

[0121] The cumulative value cutoff period is defined as Td;

[0122] i represents the batching bin number (i=1, 2..., 19);

[0123] The flow time from the i-th batching detection point to the large belt detection point before the first mixing is defined as Tpi; the flow time from the large belt detection point before the first mixing to the belt detection point before the second mixing is defined as Th1;

[0124] The flow time from the belt detection point in front of the secondary mixer to the belt scale detection point in front of the mixing tank is defined as Th2;

[0125] The flow time from the electromagnetic flow meter of the first mixer to the belt detection point in front of the second mixer is defined as Th3;

[0126] The flow time from the secondary mixing electromagnetic flowmeter to the belt scale detection point set in front of the mixing tank is defined as Th4.

[0127] 3. Abnormal analysis module

[0128] (1) Establish material mass balance relationship

[0129] Here is a time series-based method:

[0130] A. Determine the timestamp

[0131] The timestamp of the current moment is T0;

[0132] The timestamp T seconds ago is T, that is, the time point T seconds before the current moment.

[0133] B. Get data value

[0134] Find the data value at the time stamp T0-T in the time series, and Y(T0-T) is the data value to be obtained.

[0135] Using the time series-based value method, according to the material quality relationship and time series

[0136] Establish the material mass balance relationship, the material mass balance relationship is as follows:

[0137] Q1=WQd23 (1)

[0138] Q2=WQd22(Th2)+FQd2(Th4) (2)

[0139] Q3=WQd21(Th1+Th2)+FQd1(Th3+Th2)+FQd2(Th4) (3)

[0140]

[0141] Q1≈Q2≈Q3≈Q4(5)

[0142] Among them, the belt scale detection point set in front of the mixing trough is taken as the reference point. The cumulative value of materials within Td seconds can be calculated as Q1 through WE-23, the cumulative value of materials within Td seconds can be calculated as Q2 through WE-22 and FE-02, the cumulative value of materials within Td seconds can be calculated as Q3 through WE-21 and FE-01, FE-02, and the cumulative value of materials within Td seconds can be calculated as Q4 through WE-0i (i=1~19) and FE-01, FE-02. Considering that the metering device has a certain degree of error, the balance relationship is Q1≈Q2≈Q3≈Q4.

[0143] (2) Abnormal cumulative value analysis

[0144] Here is a method to find abnormal cumulative values:

[0145] A. Find outlier data

[0146] Sort Q1, Q2, Q3, and Q4, and use the outlier algorithm to obtain abnormal data, which is defined as Qerr;

[0147] Qerr=Qoutlier(Q1, Q2, Q3, Q4).

[0148] B. Take the average value of normal data

[0149] Q1, Q2, Q3, and Q4 remove abnormal data, and calculate the average value of the remaining data, which is defined as Qav.

[0150] C. Judge abnormality

[0151] By comparing the abnormal data with the average value, an abnormal alarm threshold can be set. The threshold unit is %, which is defined as Rmax.

[0152] When Qerr≥Qav*(1+Rmax / 100), Qerr is abnormal data, otherwise Qerr is normal data.

[0153] 4. Data alarm module

[0154] The Qerr results are displayed in a list format, including the sequence number, timestamp, and alarm content.

[0155] When Q1 is abnormal, the alarm content is that the data of detection point WE-23 is abnormal, please check in time;

[0156] When Q2 is abnormal, the alarm content is that the data of detection point WE-22 or FE-02 is abnormal, please check in time;

[0157] When Q3 is abnormal, the alarm content is that the data of detection point WE-21 or FE-01 is abnormal, please check in time;

[0158] When Q4 is abnormal, the alarm content is that the data of detection points WE-01 to WE-19 are abnormal, please check in time.

[0159] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A time series-based belt scale mutual calibration system for sintering feeding process, characterized in that: It includes sintering feeding equipment and a calibration system. The material metering device and water adding flow meter of the sintering feeding equipment are connected to the calibration system. The calibration system includes a data processing module, a timetable module, an abnormality analysis module, and a data alarm module. The data processing module is connected to the timetable module. The data processing module and the timetable module are connected to the abnormality analysis module. The abnormality analysis module is connected to the data alarm module.

2. A control method for a belt scale mutual verification system in a sintering feeding process based on a time series, characterized in that: The steps include: S1. Data processing module performs data collection: uses OPC protocol to read the accumulated data collected in the primary PLC system through a specified time period and defines its location; S2, data processing module performs data processing: collects data and processes it into the accumulated value of material flow within unit time Td through time series analysis; S3, timetable module: set all time values ​​required by the present invention through the human-machine interface, the time is in seconds; S4. Establish a material mass balance relationship, using a time series-based value method to establish a material mass balance relationship based on material mass relationships and time series; S5. Abnormal cumulative value analysis: a method for finding abnormal cumulative values ​​is used; S6. Abnormal alarm.

3. The control method of the sintering feeding process belt scale mutual verification system based on time series according to claim 2 is characterized in that: In step S1, the definition is as follows: i represents the batching bin number (i=1, 2..., 19); The cumulative value of the amount of material discharged from batching bin No. i is defined as WQ0i; The cumulative value of the primary mixer feed volume is defined as WQ21; The cumulative value of the secondary mixer feed volume is defined as WQ22; The cumulative value of the feed amount of the sintering machine mixing tank is defined as WQ23; The cumulative value of water added to the primary mixer is defined as FQ01; The cumulative value of water added to the secondary mixer is defined as FQ02. The collected data contains the following attributes: data name, data description, data value, and data timestamp.

4. The control method of the sintering feeding process belt scale mutual verification system based on time series according to claim 2 is characterized in that: In step S2, a data processing method based on time series is adopted, comprising the following steps: S21. Determine timestamp The timestamp of the current moment is T0; The timestamp Td seconds before is TTd, which is the time point Td seconds before T0; S22. Get data value Find the cumulative value data with timestamps T0 and TTd in the time series, and obtain their data values ​​respectively, recorded as Y(T0) and Y(TTd); S23. Calculate the change By calculating the difference between Y(T0) and Y(TTd), the change between the current time and the accumulated value Td seconds ago is obtained. The calculation formula for the change is: ΔY = Y(T0) - Y(TTd); Through the above data processing method, WQ1~WQ23 data are processed into the following data: i represents the batching bin number (i=1, 2..., 19); The cumulative value of the amount of material discharged from batching bin No. i within Td seconds is defined as WQd0i; The cumulative value of the primary mixer feed volume within Td seconds is defined as WQd21; The cumulative value of the secondary mixer feed volume Td seconds is defined as WQd22; The cumulative value of the feed volume of the sintering machine mixing tank within Td seconds is defined as WQd23; The cumulative value of water added to the mixer in Td seconds is defined as FQd01; The cumulative value of water added by the secondary mixer in Td seconds is defined as FQd02; The processed data contains the following attributes: data name, data description, data value, and data timestamp.

5. The control method of the sintering feeding process belt scale mutual verification system based on time series according to claim 2 is characterized in that: In step S3, the timetable content to be entered is as follows: The cumulative value cutoff period is defined as Td; i represents the batching bin number (i=1, 2..., 19); The flow time from the i-th batching detection point to the large belt detection point before the first mixing is defined as Tpi; The flow time from the large belt detection point before the first mixer to the belt detection point before the second mixer is defined as Th1; The flow time from the belt detection point in front of the secondary mixer to the belt scale detection point in front of the mixing tank is defined as Th2; The flow time from the electromagnetic flow meter of the first mixer to the belt detection point in front of the second mixer is defined as Th3; The flow time from the secondary mixing electromagnetic flowmeter to the belt scale detection point set in front of the mixing tank is defined as Th4.

6. The control method of the sintering feeding process belt scale mutual verification system based on time series according to claim 2 is characterized in that: In step S4, the method for obtaining values ​​based on time series includes the following steps: A. Determine the timestamp The timestamp of the current moment is T0; The timestamp T seconds ago is T, which is the time point T seconds before the current moment; B. Get data value Find the data value at the time stamp T0-T in the time series, and Y(T0-T) is the data value to be obtained. Using the time series-based value method, the material mass balance relationship is established according to the material mass relationship and time series. The material mass balance relationship is as follows: Q1=WQd23(1) Q2=WQd22(Th2)+FQd2(Th4)(2) Q3=WQd21(Th1+Th2)+FQd1(Th3+Th2)+FQd2(Th4)(3) Q1≈Q2≈Q3≈Q4(5) Among them, the belt scale detection point set in front of the mixing trough is taken as the reference point. The cumulative value of materials within Td seconds can be calculated as Q1 through WE-23, the cumulative value of materials within Td seconds can be calculated as Q2 through WE-22 and FE-02, the cumulative value of materials within Td seconds can be calculated as Q3 through WE-21 and FE-01, FE-02, and the cumulative value of materials within Td seconds can be calculated as Q4 through WE-0i (i=1~19) and FE-01, FE-02. Considering that the metering device has a certain degree of error, the balance relationship is Q1≈Q2≈Q3≈Q4.

7. The control method of the sintering feeding process belt scale mutual verification system based on time series according to claim 2 is characterized in that: In step S5, a method for finding abnormal cumulative values ​​comprises the following steps: A. Find outlier data Sort Q1, Q2, Q3, and Q4, and use the outlier algorithm to obtain abnormal data, which is defined as Qerr; Qerr=Qoutlier(Q1, Q2, Q3, Q4); B. Take the average value of normal data Q1, Q2, Q3, and Q4 remove abnormal data and average the remaining data, which is defined as Qav; C. Judge abnormality By comparing the abnormal data with the average value, an abnormal alarm threshold can be set. The threshold unit is %, which is defined as Rmax; When Qerr≥Qav*(1+Rmax / 100), Qerr is abnormal data, otherwise Qerr is normal data.

8. The control method of the sintering feeding process belt scale mutual verification system based on time series according to claim 2 is characterized in that: In step S6, the Qerr result is displayed in a list format, and the list includes a sequence number, a timestamp, and an alarm content; When Q1 is abnormal, the alarm content is that the data of detection point WE-23 is abnormal, please check in time; When Q2 is abnormal, the alarm content is that the data of detection point WE-22 or FE-02 is abnormal, please check in time; When Q3 is abnormal, the alarm content is that the data of detection point WE-21 or FE-01 is abnormal, please check in time; When Q4 is abnormal, the alarm content is that the data of detection points WE-01 to WE-19 are abnormal, please check in time.

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